CN117172549A

CN117172549A - Construction budget generation method, construction budget generation system, terminal equipment and storage medium

Info

Publication number: CN117172549A
Application number: CN202311205757.XA
Authority: CN
Inventors: 田占岭; 周景峰; 闫菲菲; 赵恒�; 李明乐
Original assignee: Haitian Engineering Consulting Co ltd
Current assignee: Haitian Engineering Consulting Co ltd
Priority date: 2023-09-15
Filing date: 2023-09-15
Publication date: 2023-12-05

Abstract

The present application relates to the field of engineering management technologies, and in particular, to a construction budget generating method, a construction budget generating system, a terminal device, and a storage medium. Acquiring corresponding project groups and project construction features corresponding to the project groups according to description information corresponding to target projects; combining project grouping and project construction features to form a project construction classification module corresponding to the target project; matching the market price corresponding to the item construction classification module from a preset price library; and judging whether the market price accords with the budget standard corresponding to the project construction classification module, respectively making corresponding analysis and prediction according to different conditions, and then generating a budget generation report corresponding to the target project according to the generated risk identification item or the project grouping and comprehensive trend distribution. The technical scheme of the application can improve the generation efficiency and the accuracy of the construction budget.

Description

Construction budget generation method, construction budget generation system, terminal equipment and storage medium

Technical Field

The present application relates to the field of engineering management technologies, and in particular, to a construction budget generating method, a construction budget generating system, a terminal device, and a storage medium.

Background

Construction budget is the process of estimating and planning the resources and costs required for a project according to design and construction requirements before proceeding with the construction or engineering project. The method is an important link in project management, and aims to determine the cost range, the resource requirement and the fund distribution of the project, and provide a basis for feasibility and economy for project implementation.

Generally, the generation of the construction budget is roughly divided into the following steps: the requirement assessment, namely firstly, the requirement of the project needs to be assessed and determined, including analysis and understanding of the design scheme, construction requirement and specification of the building or engineering project, so as to determine the range and the property of the project; estimating the resources, namely estimating various required resources according to the requirements of projects, such as determining the quantity and specification of the required resources such as manpower, materials, equipment and the like through analysis and calculation of construction procedures; cost estimation, namely, estimating various costs of the project based on the result of resource estimation, including direct cost and indirect cost; cost analysis, namely carrying out careful analysis and calculation on the cost, including the aspects of cost structure, proportion, distribution and the like; budgeting, i.e. integrating and programming the results of resource estimation and cost estimation, to form a project budgeting plan.

In practical application, the construction budget is generally generated by manual programming, but for some complex projects or large-scale projects, construction materials or labor cost and the like often have certain market price fluctuation, and a great deal of time and effort are required to integrate data of various resource fees, so that omission and errors are easy to occur, and the efficiency and accuracy of the construction budget generation are reduced.

Disclosure of Invention

In order to improve construction budget generation efficiency and accuracy, the application provides a construction budget generation method, a construction budget generation system, terminal equipment and a storage medium.

In a first aspect, the present application provides a construction budget generating method, comprising the steps of:

acquiring a target project corresponding to a construction project;

acquiring corresponding project groups and project construction features corresponding to the project groups according to the description information corresponding to the target project;

combining the project group and the project construction features to form a project construction classification module corresponding to the target project;

matching market prices corresponding to the project construction classification module from a preset price library;

if the market price does not accord with the budget standard corresponding to the project construction classification module, acquiring a corresponding target construction module and a periodic price index of the market price corresponding to the target construction module;

Budget risk assessment is carried out on the periodic price index, and a corresponding risk assessment result is generated to serve as a risk identification item of the target construction module;

if the market price accords with the budget standard corresponding to the project construction classification module, periodic trend data corresponding to the market price is obtained;

importing the periodic trend data into a preset price trend prediction model, generating price prediction trend distribution corresponding to the project construction classification module, and integrating data of the price prediction trend distribution to generate comprehensive trend distribution corresponding to the project grouping by the project construction classification module;

and generating a budget generation report corresponding to the target project according to the risk identification item or the item group and the comprehensive trend distribution.

By adopting the technical scheme, the description information of the target engineering is combined with project grouping and project construction characteristics to form the project construction classification module, the complexity of the target engineering can be decomposed into smaller modules, the budget generating process is simplified, the budget programming efficiency is improved, more accurate cost data can be obtained by matching market prices corresponding to the project construction classification module from a preset price base, meanwhile, if the market prices do not meet the budget standard, the budget can be adjusted by obtaining the periodic price index corresponding to the target construction module, further, the budget error can be reduced, the accuracy of budget generation is improved, and further, for the market prices which do not meet the budget standard, the risk evaluation result of the target construction module is obtained, the method has the advantages that the budget risk can be evaluated and managed, the potential cost risk can be predicted and handled, the risk control capability of budget generation is improved, for the market price meeting the budget standard, the corresponding price prediction trend distribution is generated by acquiring the periodic trend data corresponding to the market price and importing a preset price trend prediction model, the change trend of the future market price can be predicted through the price prediction trend distribution, a more accurate reference basis is provided for budget programming, the comprehensive trend distribution of the project group is combined to generate a corresponding budget generation report, and further, the budget data and the characteristics and the trend of the project group can be combined to form the comprehensive budget analysis and decision basis of target engineering, so that the construction budget generation efficiency and the construction budget accuracy are improved.

Optionally, matching the market price corresponding to the item construction classification module from the preset price library includes the following steps:

acquiring a construction unit corresponding to the project construction classification module;

if the same construction unit comprises a plurality of specification features, matching corresponding target prices from the preset price library according to the specification features;

generating a price comparison analysis table corresponding to the construction unit by combining the specification characteristics and the target price;

and outputting the specification selection price sequence corresponding to the construction unit as the market price according to the construction specification of the construction unit and the price comparison analysis table.

By adopting the technical scheme, corresponding target prices are matched from the preset price library according to the specification characteristics of the constructional units, and various cost data corresponding to the constructional units with different specification characteristics can be more accurately obtained, so that the accuracy of budget generation is improved, and budget deviation caused by inaccurate price estimation is reduced.

Optionally, budget risk assessment is performed on the periodic price index, and generating a corresponding risk assessment result as a risk identification item of the target construction module includes the following steps:

Acquiring relevant data corresponding to the periodic price index;

processing and analyzing the related data according to a preset data statistics strategy to generate corresponding trend change data;

and carrying out budget risk assessment on the trend change data, and generating the risk assessment result of the corresponding risk probability distribution as the risk identification item of the target construction module.

By adopting the technical scheme, the risk assessment result corresponding to the risk probability distribution is generated according to the result of the budget risk assessment and is used as the risk identification item of the target construction module, so that the occurrence probability of various budget risk conditions can be clearly known, and a decision maker can be helped to make corresponding budget adjustment and decision.

Optionally, after processing and analyzing the related data according to a preset data statistics policy, generating corresponding trend change data, the method further includes the following steps:

carrying out risk factor identification on the trend change data to obtain corresponding risk factor items;

analyzing the risk factor item to obtain a corresponding budget risk influence degree and risk association factor;

and carrying out risk grade judgment on the risk factor item by combining the budget risk influence degree and the risk correlation factor, and generating a corresponding target risk grade as the risk identification item of the target construction module.

By adopting the technical scheme, the risk factor identification is carried out on the trend change data so as to find potential risk factors influencing the trend change of the price, thereby being beneficial to identifying key factors possibly causing price fluctuation, providing basis for subsequent risk assessment and risk management, simultaneously combining the budget risk influence degree and the risk correlation factor, carrying out risk grade judgment on the risk factor item, comprehensively considering the influence degree and the relevance of the risk factors, and further dividing the risk factors into different risk grades, and being beneficial to the assessment and the treatment of the importance and the priority of the risk factors by a decision maker.

Optionally, performing budget risk assessment on the trend variation data, and generating the risk assessment result of the corresponding risk probability distribution as the risk identification item of the target construction module includes the following steps:

carrying out budget risk assessment on the trend change data to generate corresponding budget risk events;

if the number of the budget risk events is multiple, judging whether risk association exists among the budget risk events;

if the risk association exists between the budget risk events, acquiring corresponding target budget risk events, carrying out associated risk probability calculation according to risk association coefficients between the target budget risk events, and generating the risk evaluation result corresponding to the risk probability distribution as the risk identification item of the target construction module;

If the risk association does not exist between the budget risk events, the contemporaneous risk probability corresponding to each budget risk event is obtained, and the risk evaluation result corresponding to the risk probability distribution is generated according to the contemporaneous risk probability to serve as the risk identification item of the target construction module.

By adopting the technical scheme, for the situation that a plurality of budget risk events exist, the mutual influence relation among different risk events is helped to be known by analyzing the risk relevance among the budget risk events, and further a more reliable basis is provided for risk probability calculation, so that the risk situation of the budget can be estimated more comprehensively.

Optionally, after obtaining the periodic trend data corresponding to the market price if the market price meets the budget standard corresponding to the project construction classification module, the method further includes the following steps:

performing time sequence analysis on the periodic trend data to generate a corresponding price prediction trend, and establishing a statistical relationship model corresponding to the price prediction trend according to a preset regression analysis strategy;

and outputting the change trend corresponding to the market price according to the statistical relation model.

By adopting the technical scheme, the corresponding change trend of the market price is generated according to time sequence analysis, price prediction trend generation and statistical relation model establishment, so that the trend of the market price can be more intuitively known, and more accurate budget decision can be made.

generating a budget elastic range corresponding to the market price according to the periodical trend data;

determining corresponding reference budget and floating amplitude according to the budget elastic range;

and combining the reference budget and the floating amplitude to generate a standby budget scheme corresponding to the target engineering.

By adopting the technical scheme, the fluctuation condition of the market price in a certain time is reflected by the budget elastic range, and the fluctuation of the market price is comprehensively analyzed by further combining the reference budget and the floating amplitude of the budget elastic range, so that corresponding budget adjustment can be timely made when the market price changes, and the real-time performance of construction budget generation is improved.

In a second aspect, the present application provides a construction budget generating system comprising:

the project acquisition module is used for acquiring a target project corresponding to the construction project;

the project grouping module is used for acquiring corresponding project groupings and project construction features corresponding to the project groupings according to the description information corresponding to the target projects;

the feature classification module is used for combining the project group and the project construction features to form a project construction classification module corresponding to the target project;

the price matching module is used for matching the market price corresponding to the item construction classification module from a preset price library;

the price index analysis module is used for acquiring a corresponding target construction module and a periodic price index of the market price corresponding to the target construction module if the market price does not accord with the budget standard corresponding to the project construction classification module;

the risk assessment module is used for carrying out budget risk assessment on the periodic price index and generating a corresponding risk assessment result as a risk identification item of the target construction module;

the price trend analysis module is used for acquiring periodic trend data corresponding to the market price if the market price accords with the budget standard corresponding to the project construction classification module;

The comprehensive trend generation module is used for importing the periodic trend data into a preset price trend prediction model, generating price prediction trend distribution corresponding to the project construction classification module, integrating the data of the price prediction trend distribution, and generating comprehensive trend distribution corresponding to the project grouping by the project construction classification module;

and the construction budget generating module is used for generating a budget generating report corresponding to the target project according to the risk identification item or the item group and the comprehensive trend distribution.

By adopting the technical scheme, the description information of the target engineering is combined with project grouping and project construction characteristics according to the characteristic classification module to form the project construction classification module, the complexity of the target engineering can be decomposed into smaller modules, the budget generation process is simplified, the budget programming efficiency is improved, more accurate cost data can be obtained immediately through the price matching module, the market price corresponding to the project construction classification module is matched from the preset price base, meanwhile, if the market price does not accord with the budget standard, the periodic price index corresponding to the target construction module can be obtained through the price index analysis module to adjust the budget, further, the budget error can be reduced, the accuracy of budget generation is improved, further, the risk assessment of the budget is carried out on the periodic price index of the market price which does not accord with the budget standard through the risk assessment module, the prediction and the potential cost risk are facilitated to be processed, the risk control capability of budget generation is improved, the market price which accords with the budget standard is obtained through the price trend analysis module, the periodic trend data corresponding to the market price trend is imported through the comprehensive trend generation module, the corresponding price prediction trend distribution is generated, the budget trend can be combined with the corresponding budget trend prediction module according to the budget distribution, the budget generation trend can be provided by the corresponding budget distribution and the budget construction trend can be combined with the budget construction module, and the budget construction module is generated according to the budget cost trend can be combined with the corresponding trend prediction module, thereby improving the efficiency and accuracy of construction budget generation.

In a third aspect, the present application provides a terminal device, which adopts the following technical scheme:

a terminal device comprises a memory and a processor, wherein the memory stores computer instructions capable of running on the processor, and the processor adopts the construction budget generating method when loading and executing the computer instructions.

By adopting the technical scheme, the computer instruction is generated by the construction budget generating method and is stored in the memory to be loaded and executed by the processor, so that the terminal equipment is manufactured according to the memory and the processor, and the use is convenient.

In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

a computer readable storage medium having stored therein computer instructions which, when loaded and executed by a processor, employ a construction budget generation method as described above.

By adopting the technical scheme, the construction budget generating method generates the computer instruction, and stores the computer instruction in the computer readable storage medium so as to be loaded and executed by the processor, and the computer instruction is convenient to read and store by the computer readable storage medium.

In summary, the present application includes at least one of the following beneficial technical effects: the method comprises the steps of combining descriptive information of target projects with project grouping and project construction characteristics to form a project construction classification module, decomposing the complexity of the target projects into smaller modules, simplifying a budget generation process, improving the efficiency of budget planning, immediately obtaining more accurate cost data by matching market prices corresponding to the project construction classification module from a preset price library, simultaneously, if the market prices do not meet budget standards, adjusting budgets by acquiring periodic price indexes corresponding to the target construction module, further reducing budget errors, improving the accuracy of budget generation, further, for market prices not meeting the budget standards, evaluating and managing budget risks by acquiring risk evaluation results of the target construction module, facilitating prediction and coping with potential cost risks, improving the risk control capability of budget generation, for market prices meeting the budget standards, generating corresponding price prediction trend models by acquiring periodic trend data corresponding to the market prices, providing more accurate reference basis for budget planning, then combining the corresponding market trend data of the project prediction trend with the comprehensive project prediction trend distribution, generating the budget and analyzing the corresponding budget trend, and further forming the comprehensive decision-making characteristics, and combining the budget and the construction classification characteristics.

Drawings

Fig. 1 is a schematic flow chart of steps S101 to S109 in a construction budget generating method according to the present application.

Fig. 2 is a schematic flow chart of steps S201 to S204 in the construction budget generating method according to the present application.

Fig. 3 is a schematic flow chart of steps S301 to S303 in a construction budget generating method according to the present application.

Fig. 4 is a schematic flow chart of steps S401 to S403 in the construction budget generating method according to the present application.

Fig. 5 is a schematic flow chart of steps S501 to S504 in a construction budget generating method according to the present application.

Fig. 6 is a schematic flow chart of steps S601 to S602 in a construction budget generating method according to the present application.

Fig. 7 is a schematic flow chart of steps S701 to S702 in a construction budget generating method according to the present application.

FIG. 8 is a block diagram of a construction budget creation system according to the present application.

Reference numerals illustrate:

1. an engineering acquisition module; 2. a project grouping module; 3. a feature classification module; 4. a price matching module; 5. a price index analysis module; 6. a risk assessment module; 7. a price trend analysis module; 8. a comprehensive trend generation module; 9. and a construction budget generating module.

Detailed Description

The application is described in further detail below with reference to fig. 1-8.

The embodiment of the application discloses a construction budget generating method, which is shown in fig. 1 and comprises the following steps:

s101, acquiring a target project corresponding to a construction project;

s102, acquiring corresponding project groups and project construction features corresponding to the project groups according to description information corresponding to the target projects;

s103, combining project grouping and project construction features to form a project construction classification module corresponding to the target project;

s104, matching items from a preset price library to construct market prices corresponding to the classification modules;

s105, if the market price does not accord with the budget standard corresponding to the project construction classification module, acquiring a corresponding target construction module and a periodic price index of the market price corresponding to the target construction module;

s106, budget risk assessment is carried out on the periodic price index, and a corresponding risk assessment result is generated to serve as a risk identification item of the target construction module;

s107, if the market price accords with the budget standard corresponding to the project construction classification module, periodic trend data corresponding to the market price is obtained;

s108, importing the periodic trend data into a preset price trend prediction model, generating price prediction trend distribution corresponding to the project construction classification module, and integrating the data of the price prediction trend distribution to generate comprehensive trend distribution corresponding to the project grouping of the project construction classification module;

S109, generating a budget generation report corresponding to the target project according to the risk identification item or the item group and the comprehensive trend distribution.

In step S101, a construction project is a specific project for performing works such as construction, repair, reconstruction, or expansion in the fields of construction, engineering, infrastructure, and the like. It relates to various types of buildings and projects, including residential, commercial, road, bridge, tunnel, hydraulic facilities, and other target projects.

In step S102, the target projects may be divided into different project groups according to the description information corresponding to the target projects, where each project group has different project configuration features. The description information refers to the content for describing and explaining the related information of the target engineering. The descriptive information may include information on the nature, scale, function, technical requirements, engineering quantity, engineering standards, construction project plan, etc. of the project, with the purpose of better understanding and conveying the characteristics and requirements of the target project, providing necessary information and basis for implementation of the project.

Second, grouping items refers to classifying the items contained in a target project into different groups or classifications according to the nature, type, or characteristics of the target project. Project organization features refer to unique features and requirements in different groupings of projects, which may include, but are not limited to, structural, material, geological conditions, scale, demand, technical requirements, etc. aspects of the project.

For example, the target project is a building project, and the corresponding project group includes construction projects of various buildings, such as houses, commercial buildings, industrial plants, and the like. The project construction features comprise building structures, building materials, indoor and outdoor layout, functional requirements and the like.

For another example, the target engineering is hydraulic engineering, and the corresponding project group includes hydraulic facility construction projects, such as reservoirs, water plants, drainage systems and the like. The project construction features comprise hydrogeological conditions, water resource utilization, equipment configuration, hydraulic structures and the like.

In step S103, the project construction classification module refers to a process of classifying the project groups according to different characteristics and requirements of the project groups and constructing corresponding modules, i.e. dividing and summarizing each part or constituent element of the project groups according to a certain classification system. For example, in a building project, construction modules may be divided into modules for civil engineering, electromechanical engineering, decorative engineering, etc.

In step S104, matching the market price corresponding to the project organization categorization module from the preset price library means that the market price of the project costs of materials, equipment, labor, etc. associated with each project organization categorization module is found by querying the price library or market research.

The preset price library is a database which is set in advance and is used for storing price information of project costs of various materials, equipment, labor force and the like. It may contain prices for various goods and services that are common in the marketplace for reference and use by project management teams in project budget and cost control processes. The content of the preset price library can be customized and updated according to the requirements of the project. Various common price information for building materials, equipment, construction machinery, labor, etc., as well as other costs associated with the project, such as transportation, installation, maintenance, etc., may be included. The information in the price base can be updated and verified according to market quotations, provider quotations, historical data and other sources to ensure the accuracy and reliability of the information.

Secondly, for each project construction classification module, the required resources such as materials, equipment and labor force can be determined according to the characteristics and the requirements, and related price information can be obtained by inquiring a price base or carrying out market research, so that a project management team can estimate project cost more accurately, reasonable budget is formulated, and cost control is carried out in the project execution process.

Moreover, the text and graphic information corresponding to each item structure classification module can be preset, and the corresponding item names, characteristics and quantity can be automatically captured according to the content of the text and graphic information. The characteristics comprise the specification sizes of specific materials in the project construction classification module and the historical expense information corresponding to different specification sizes. And matching the preset price library through the names and the characteristics of the previous projects, namely automatically matching the prices from the preset price library according to the names and the characteristics of the projects, then establishing a corresponding budget model based on the various information, and training and generating the integral budget of the construction project according to the budget model.

In step S105, the budget criteria corresponding to the project organization classifying module refers to classifying each building module of the project according to the project requirement and the specification of the specific industry, and setting the corresponding budget criteria for each building module. Budget criteria are the setting of an ideal cost range or instructive cost goal for each building block under specific conditions. Budget criteria are not just settings for the overall cost of the project, but can be subdivided into cost requirements for each building block. For example, in civil engineering, a budget standard per square meter of building area may be set for measuring costs in terms of building materials, labor, construction process, etc.

And if the searched market price does not accord with the budget standard corresponding to the project construction classification module, acquiring a target construction module of which the market price does not accord with the budget standard. The target construction module is a specific construction module which is redetermined according to project requirements and resource conditions under the condition that the budget standard cannot be met. These building blocks may differ from the original building blocks in that they may be alternatives, viable alternatives, or in that they may be designed, materials, processes, etc. to meet the budget requirements.

And secondly, in order to further analyze the specific market price situation corresponding to the target construction module, acquiring a corresponding periodic price index. The periodic price index is an index for measuring market price fluctuation and is used for reflecting the change trend of the market price in a certain period. Through the periodic price index, the market price change condition of a specific target construction module in different time periods can be known.

In step S106, the budget risk assessment is performed on the periodic price index in order to assess the risk impact that the periodic price index may have on the project costs. Through budget risk assessment, the fluctuation condition of the periodic price index can be analyzed, possible risk factors are identified, and the possible risk factors are used as risk identification items of the target construction module.

The periodic price index is an index representing the price change trend of specific goods or services in a certain time range, reflects the change condition of price along with time, and can be used for analyzing the periodic fluctuation and trend change of price. The risk assessment results are conclusions regarding the degree of risk and potential impact based on analysis and assessment of the periodic price index. The risk assessment results may be qualitative or quantitative, indicating the severity of the risk and the extent of the impact that may occur.

Specifically, the risk assessment result includes risk degree assessment, that is, risk is assessed according to the fluctuation condition of the periodic price index and the historical data, and the degree of risk, such as high, medium, low and the like, is determined. A high risk indicates that the price index fluctuates more, possibly having a larger impact on the project costs; the medium risk indicates moderate fluctuation of the price index, and possibly has a certain influence on the project cost; a low risk means that the price index fluctuates less and has less impact on project costs.

Secondly, the risk assessment result also comprises risk potential influence assessment, namely, the potential influence of the risk on the project cost is assessed according to the fluctuation condition of the periodic price index and the project characteristics. For example, if the periodic price index increases, it may result in increased material and labor costs, thereby increasing the cost of the project; if the periodic price index drops, it may result in reduced material and labor costs, thereby reducing the cost of the project.

Furthermore, the risk assessment result also comprises a risk countermeasure proposal, namely, according to the risk assessment result, corresponding risk countermeasures are proposed. For example, if the risk assessment results show a large fluctuation in the periodic price index, it may be advisable to add corresponding risk reserves in the project plan to cope with uncertain cost variations; if the risk assessment results show less fluctuation in the periodic price index, it may be advisable to take into account the fluctuation in the price index moderately in the project plan, but without excessive attention.

In step S107, if the market price meets the budget standard of the project organization classification module, that is, the market price is within an acceptable range, the periodic trend data corresponding to the market price may be further obtained. The periodic trend data is the result obtained by analyzing and counting the variation of the market price in a certain time range.

Specifically, the acquisition of the periodic trend data can be roughly divided into the following steps: the first step in acquiring the periodic trend data is to determine the data source, and the periodic trend data can be acquired through historical records of market price data or related statistical data; determining a time frame to analyze, for example, over the last year, over the last five years, or longer, the selection of the time frame should be determined according to the needs of the particular project and the fluctuation of market price; selecting a proper data analysis method to analyze the periodical trend of the market price, including time sequence analysis, average movement trend, seasonal analysis and the like, and selecting a proper method according to specific situations to perform data analysis; from the results of the above data analysis, periodic trends in market price are derived, which may include seasonal variations in price, long-term trends, periodic fluctuations, etc. The trend analysis results may be presented by a graph or numerical indicator.

In step S108, the preset price trend prediction model refers to selecting and setting a suitable model to predict future price trend according to existing data and analysis in advance when price prediction is performed. This model may be a mathematical model based on statistical methods, machine learning algorithms, or other predictive techniques. Such as a trend linear regression model, a time series model, an ARIMA model, or a GARCH model.

The periodic trend data is imported into a preset price trend prediction model, so that price prediction trend distribution of the corresponding project structure classification module can be generated. This predicted trend profile may show the trend of the price over different time periods, including rising, falling, or leveling. The price prediction trend distribution is to construct a classification module according to specific items, predict the price and display the prediction result in a distribution mode. This distribution can be used to describe the trend of the price over different time periods.

Second, the price prediction trend distribution may be presented in the form of a graph, with the horizontal axis representing time and the vertical axis representing price. The price change trend can be shown by using a line graph, a bar graph, an area graph and the like. Each classification module corresponds to a price prediction trend distribution, and curves or histograms on the graph represent the predicted trends of prices within the classification module.

And the data integration of the price prediction trend is to integrate the price prediction trend distribution of different structure classification modules to generate the comprehensive trend distribution of the project grouping corresponding to the project structure classification modules. This integrated trend distribution may reflect the price trend of the entire item over different time periods.

For example, the data integration is performed on the price prediction trend corresponding to the project construction classification module of the resident housing in the building projects, and the resident housing data can be classified according to the geographic position. For example, resident houses in the same city are classified according to different areas, such as a downtown area, a suburban area, etc., or data may be classified according to a house area, such as a small-sized house type, a medium-sized house type, a large-sized house type, etc.

In step S109, the budget of the target project may be calculated according to the risk identification item or the result of the project construction classification module and the comprehensive trend distribution. First, a budget reference, i.e., an average budget, for each module is determined from the classification modules. And then, according to the comprehensive trend distribution, combining the characteristics of each classification module, and adjusting the budget of each module. For example, the price forecast trend distribution of a certain classification module shows a price increasing trend or a larger degree of budget error risk information appears between the budget generation result and the budget standard.

Further, according to the budget calculation result, a budget generation report corresponding to the target project is generated. The budget generation report comprises the budget condition of each classification module, and the explanation and the basis for budget adjustment. The report may be presented in forms of tables, charts, etc. to allow the decision maker to more intuitively understand the budget conditions of each classification module.

According to the construction budget generation method provided by the embodiment, the description information of the target engineering is combined with the project grouping and project construction characteristics to form the project construction classification module, the complexity of the target engineering can be decomposed into smaller modules, the budget generation process is simplified, the budget programming efficiency is improved, and more accurate cost data can be obtained by matching market prices corresponding to the project construction classification module from the preset price base. Meanwhile, if the market price does not accord with the budget standard, the budget can be adjusted by acquiring the periodic price index corresponding to the target construction module, so that the budget error can be reduced, the accuracy of budget generation is improved, further, for the market price which does not accord with the budget standard, the budget risk can be evaluated and managed by acquiring the risk evaluation result of the target construction module, the prediction and the treatment of the potential cost risk are facilitated, the risk control capability of budget generation is improved, for the market price which accords with the budget standard, the periodic trend data corresponding to the market price is acquired, the preset price trend prediction model is imported, the corresponding price prediction trend distribution is generated, the trend of the future market price can be predicted through the price prediction trend distribution, a more accurate reference basis is provided for budget programming, and then the comprehensive trend distribution of the project group is combined to generate a corresponding budget generation report, so that the characteristic and trend of the budget data and the project group are combined, and the comprehensive budget analysis and decision basis of the target project are formed, and the construction budget generation efficiency and accuracy are improved.

In one implementation manner of the present embodiment, as shown in fig. 2, step S104, that is, matching the market price corresponding to the project construction classification module from the preset price library, includes the following steps:

s201, acquiring a construction unit corresponding to the project construction classification module;

s202, if the same construction unit comprises a plurality of specification features, matching corresponding target prices from a preset price base according to the specification features;

s203, combining specification characteristics and target prices to generate a price comparison analysis table of the corresponding construction unit;

s204, selecting price sequences as market prices according to the construction specifications of the construction units and the price comparison analysis table, and outputting specifications corresponding to the construction units.

In steps S201 to S202, in each classification module, it is further subdivided into specific construction units, each of which represents a specific construction section of an item, such as a column, a wall, a floor, etc. in a construction project. The construction unit is a unit for more finely dividing the item.

Where specification features refer to the fact that the same building block may have different specification features, these may differ in terms of size, material, quality, etc. For example, in a wall construction unit for construction engineering, the specification features may be the height, thickness, materials used, etc. of the wall.

And secondly, finding the best matched target price from a preset price base according to the matching degree and the similarity of the specification features. By matching the corresponding target price, a reasonable budget can be determined for each building element in the project and used as a basis for budget calculation. Therefore, price differences corresponding to different specification features can be fully considered in project budget, and accuracy and reliability of the budget are improved.

In steps S203 to S204, a price comparison analysis table of the corresponding construction unit may be generated from the specification feature and the target price. The price comparison analysis table compares and analyzes target prices under different specification characteristics so as to evaluate and sort the prices of the construction units.

Specifically, the generation of the price comparison analysis table is roughly divided into the following steps: determining a construction unit which needs to generate a price comparison analysis table according to a construction classification module and a construction unit of the project; for each construction unit, inquiring a corresponding target price from a preset price base according to specification characteristics of the construction unit, and recording the target price in a price comparison analysis table; comparing and analyzing corresponding target prices of different specification features of the same construction unit so as to evaluate the influence of the different specification features on the prices; according to the data in the price comparison analysis table, the prices of the construction units can be ordered to obtain the specification selection price ordering.

Further, the step of selecting the price order as the market price according to the specification corresponding to the output construction unit is as follows: sorting the different specification features of the construction units according to the data in the price comparison analysis table, and determining specification selection price sorting; the specification selection price sorting is to sort according to target prices corresponding to different specification characteristics so as to determine common specification selection prices on the market; the output specification selects a price ordering as a market price, which can be used as a reference for project budgets or quotes, so as to obtain building units with reasonable prices on the market.

According to the construction budget generation method provided by the embodiment, corresponding target prices are matched from the preset price library according to the specification characteristics of the construction units, and various cost data corresponding to the construction units with different specification characteristics can be obtained more accurately, so that the accuracy of budget generation is improved, and budget deviation caused by inaccurate price estimation is reduced.

In one implementation manner of this embodiment, as shown in fig. 3, step S106, that is, performing budget risk assessment on the periodic price index, and generating a corresponding risk assessment result as a risk identification item of the target construction module includes the following steps:

S301, acquiring relevant data corresponding to periodic prices;

s302, processing and analyzing the related data according to a preset data statistics strategy to generate corresponding trend change data;

s303, budget risk assessment is carried out on the trend change data, and a risk assessment result corresponding to the risk probability distribution is generated to serve as a risk identification item of the target construction module.

In steps S301 to S302, the related data refers to data related to the periodic price index. Such data includes price index values at various points in time, as well as other data related to price index variations, such as time, region, industry, market demand, raw material prices, etc. By collecting, sorting and analyzing the data, the periodic variation law of the price index can be better understood, and a reference is provided for decision making.

In the analysis of the periodic price index, data relating to the price index change is used so that the change, trend and influence factor of the price index can be better understood. Through analysis of the related data, the periodic characteristics of the price index can be revealed, the future price change trend is predicted, and corresponding decisions and adjustments are made.

Further, the preset data statistics policy refers to a series of policies and methods set in advance for processing and analyzing preset data when data analysis and statistics are performed. These strategies aim to obtain accurate, reliable statistics and better understand the characteristics and trends of the data. For example, the number of the cells to be processed,

and secondly, screening the obtained periodic related data through the preset data statistics strategy, namely screening the collected price index data, and selecting data with obvious periodic variation, namely trend variation data. Trending data refers to data that exhibits a significant trend change over a period of time, which change may be monotonically increasing or decreasing, or may exhibit periodic fluctuations, and can be used to analyze and predict long-term trends and trends of an index or variable. For example, the preset data statistics policy is a data visualization and interpretation policy, that is, the data analysis result is displayed in a visualization mode such as a chart, an image and the like, so that the characteristics and the trend of the data are more intuitively understood.

For example, the change of building materials in the past 3 years of a city along with market demands is analyzed. The market price of building materials per year was collected and, through observation, the market price of building materials showed a trend of increasing year by year over time. The data belongs to trending variation data.

In step S303, budget risk assessment refers to a process of assessing and analyzing budget risks that may occur due to the influence of trending variation data during budget execution. Budget risk assessment aims at identifying, quantifying and assessing various risks associated with budget execution in order to formulate corresponding risk coping strategies and measures.

Secondly, the risk probability distribution refers to a statistical method for describing the probability of occurrence of different risk events in the risk evaluation process of the trend change data. The risk probability distribution may be used to quantify and describe the likelihood of risk events, thereby helping to better understand and address various risk situations.

In the risk assessment, the probability distribution function may be a normal distribution, a uniform distribution, a bernoulli distribution, or the like. These distribution functions may be chosen according to the specific circumstances to most suitably describe the probability distribution of the risk event. Through the risk probability distribution, the risk events can be quantified and classified, the occurrence probability of different risk events can be determined, and basis is provided for risk coping. The risk probability distribution can be used for calculating statistical indexes such as expected values, variances, standard deviations and the like of the risk events, so that the influence degree and the priority of the risks are better evaluated.

Further, according to the risk probability distribution, a risk assessment result is generated. The risk assessment results may include information such as price change probability, price change range, etc. at different risk levels. And taking the risk assessment result as a risk identification item for risk identification of the target construction module. The risk identification term may be an indicator or set of indicators for expressing risk conditions of price variations.

According to the construction budget generating method provided by the embodiment, the risk assessment result corresponding to the risk probability distribution is generated according to the budget risk assessment result and is used as the risk identification item of the target construction module, so that the occurrence probability of various risk situations of the budget can be clearly known, and a decision maker can be helped to make corresponding budget adjustment and decision.

In one implementation manner of the present embodiment, as shown in fig. 4, step S302 of processing and analyzing the related data according to the preset data statistics policy, and generating the corresponding trend change data includes the following steps:

s401, carrying out risk factor identification on trend change data to obtain corresponding risk factor items;

s402, analyzing the risk factor item, and acquiring a corresponding budget risk influence degree and a risk correlation factor;

S403, judging the risk level of the risk factor item by combining the budget risk influence degree and the risk correlation factor, and generating a corresponding target risk level as a risk identification item of the target construction module.

In steps S401 to S402, risk factors that may cause data fluctuations are determined by analyzing and observing the trend fluctuation data. This requires the use of statistical analysis, data mining, etc. to identify factors associated with data fluctuations. The identified risk factors are converted to specific risk factor terms for subsequent analysis and evaluation.

Secondly, the risk factor item is used for converting the identified risk factors into specific items or indexes on the basis of the identification of the risk factors. The method is used for refining and materializing the risk factors, and converting abstract risk factors into concrete terms which can be measured and analyzed.

Further, the budget risk impact level refers to the impact level of a risk event on a budget target or budget result. It is used to assess and quantify the importance and severity of risks so that risks can be better identified, assessed and addressed. The risk association factors refer to factors or variables related to specific risk events, and certain association relation exists between the factors or variables and occurrence and influence of the risk events, so that the risk events can be better understood through the risk association factors, and risk assessment and management can be performed.

For the analysis risk factor item, the process of obtaining the corresponding budget risk influence degree and risk association factor is as follows: risk factor resolution, i.e., further resolution and analysis of each risk factor term, including assessment of the likelihood of its occurrence, the extent of the impact, the duration, etc.; the budget risk influence degree assessment, namely, assessing the influence degree of the budget by the risk factors according to the analysis result of the risk factors, wherein a qualitative or quantitative method, such as a scoring system or model, can be used for assessment to determine the influence degree of the budget risk; the risk association factor analysis, namely analyzing the association between each risk factor item and other risk factors, is helpful for understanding the interaction and conduction effects between different risk factors, and provides basis for formulating comprehensive risk coping strategies.

In particular, the budget risk impact level may be classified into high, medium, low, etc. levels. A high degree of impact indicates that the risk factor has a greater impact on the budget, possibly resulting in significant budget deviations or the occurrence of risk events; the influence degree of the risk factor indicates that the influence degree of the risk factor on the budget is moderate, and a certain degree of budget deviation or risk can be caused; a low degree of impact means that the risk factor has less impact on the budget and may create a slight budget bias. The risk correlation factors may be positive correlation, negative correlation, or irrelevant, where positive correlation indicates that the trend of the two risk factors is consistent, i.e., an increase in one factor results in an increase in the other factor, and negative correlation indicates that the trend of the two risk factors is opposite, i.e., an increase in one factor results in a decrease in the other factor, and irrelevant indicates that there is no apparent correlation between the two risk factors.

In step S403, the risk level determination of the risk factor items refers to a process of evaluating and determining the relative risk level of each risk factor item according to a certain evaluation standard and method. The specific process comprises the following steps: the influence degree of the budget risk is determined, namely, the influence degree of the risk event is estimated and quantified according to the characteristics of the severity, the persistence, the reversibility, the urgency and the like of the budget risk and the obtained influence degree of the budget risk and the risk association factor, and a certain grading or quantitative index can be used for representing the influence degree of the budget risk.

Secondly, according to the budget risk influence degree and the risk association factors, comprehensively considering the influence degree of the risk event and the importance of related factors, and judging the risk grade of each risk factor. A certain scoring system or risk matrix may be used to determine the division of risk levels. And then generating a target risk level as a risk identification item, namely generating a corresponding target risk level for each risk factor as a risk identification item according to the risk level judging result, wherein the target risk level can be used for indicating the importance and the priority of the risk.

According to the construction budget generation method provided by the embodiment, risk factor identification is conducted on trend change data so as to find potential risk factors influencing price trend change, key factors possibly causing price fluctuation are facilitated to be identified, basis is provided for subsequent risk assessment and risk management, meanwhile, the risk level judgment is conducted on risk factor items by combining the budget risk influence degree and the risk association factor, influence degree and association of the risk factors are comprehensively considered, and further the risk factors are divided into different risk levels, so that decision makers are facilitated to evaluate and process importance and priority of the risk factors.

In one implementation manner of the present embodiment, as shown in fig. 5, step S303, that is, performing budget risk assessment on the trend variation data, and generating, as a risk identification item of the target building module, a risk assessment result of a corresponding risk probability distribution includes the following steps:

s501, budget risk assessment is carried out on trend change data, and corresponding budget risk events are generated;

s502, judging whether risk association exists among budget risk events if the number of the budget risk events is multiple;

S503, if risk association exists between the budget risk events, acquiring corresponding target budget risk events, carrying out associated risk probability calculation according to risk association coefficients between the target budget risk events, and generating a risk evaluation result of corresponding risk probability distribution as a risk identification item of the target construction module;

s504, if no risk association exists between the budget risk events, acquiring the contemporaneous risk probability corresponding to each budget risk event, and generating a risk assessment result corresponding to the risk probability distribution according to the contemporaneous risk probability as a risk identification item of the target construction module.

In steps S501 to S502, for budget risk assessment of trend change data, the influence degree of the trend change data on the budget target and the budget risk event possibly caused can be judged according to the characteristics of trend, change range and the like of the data. Budget risk events refer to uncertain events that may cause a budget goal to fail or go beyond a budget.

If a plurality of budget risk events are found to exist after budget risk assessment is performed on the trend change data, whether risk association exists between the budget risk events can be further judged. Risk association refers to the relationship between different risk events that may have interactions and interrelationships.

Specifically, the method for judging whether risk association exists between budget risk events comprises the following steps: analyzing common features of risk factors, namely comparing and analyzing a plurality of budget risk events to see whether the budget risk events have common risk factors, trigger mechanisms or influence factors; evaluating the mutual influence among the risk events, namely analyzing the influence degree of each risk event on other risk events, and evaluating the mutual dependency among the risk events; considering the time and space relation of the risk events, namely analyzing the time sequence and the space relevance of a plurality of risk events to see whether the risk events have a certain time and space relation; consider the common influencing factor among risk events, i.e. analyzing whether multiple risk events are influenced by the same external or internal factors, to see if they have a common influencing source.

In step S503, when there is a risk association between the budget risk events, the target budget risk event may be acquired according to the association relationships, and the associated risk probability may be calculated, so as to generate a corresponding risk probability distribution as a risk identifier of the target construction module. Target budget risk event refers to a risk event that is considered to be the most important or influential in budget risk assessment. And determining a target budget risk event according to the budget risk assessment result and the risk association judgment.

Secondly, the associated risk probability refers to the risk association degree between two or more risk events, and is used for representing the influence degree of one risk event on the occurrence of other related risk events. The associated risk probability may be calculated by statistical analysis.

In step S504, the contemporaneous risk probability refers to a probability that each budget risk event occurs at the same time within the same time period. By evaluating each budget risk event and calculating the probability, the contemporaneous risk probability of each risk event can be obtained. Methods such as statistical data analysis or historical data review can be used in calculating the contemporaneous risk probabilities. These methods may help determine the likelihood of each risk event occurring and represent it as a probability value. By acquiring the contemporaneous risk probability of each budget risk event and generating a risk probability distribution, a comprehensive risk assessment result can be provided. The risk probability distribution can reflect the probability distribution situation of different risk events, and help a decision maker to better understand and evaluate the occurrence probability of risks.

According to the construction budget generation method provided by the embodiment, for the situation that a plurality of budget risk events exist, the mutual influence relation among different risk events is helped to be known by analyzing the risk relevance among the budget risk events, so that a more reliable basis is provided for risk probability calculation, and the risk situation of the budget can be estimated more comprehensively.

In one implementation manner of the present embodiment, as shown in fig. 6, in step S107, if the market price meets the budget standard corresponding to the project organization classification module, the method further includes the following steps after obtaining the periodic trend data corresponding to the market price:

s601, carrying out time sequence analysis on the periodic trend data to generate a corresponding price prediction trend, and establishing a statistical relationship model corresponding to the price prediction trend according to a preset regression analysis strategy;

s602, outputting a change trend corresponding to the market price according to the statistical relation model.

In steps S601 to S602, the periodic trend data is subjected to time-series analysis, that is, the periodic trend of the market price is analyzed and extracted using a time-series analysis method such as a smoothing method, trend analysis, seasonal decomposition, or the like. And further helps to identify long-term trends in price, seasonal fluctuations, etc.

Next, price prediction trends are generated, i.e., corresponding price prediction trends may be generated from the results of the time series analysis. The price forecast trend may be in the form of a trend line, an exponentially smoothed forecast, a moving average forecast, etc. for describing future changes in market price.

Further, a statistical relationship model is established, namely, the statistical relationship model between the market price prediction trend and other related factors is established according to a preset regression analysis strategy. The influence degree of different factors on the market price can be determined by regression analysis and other methods, so that the change trend of the price is predicted. And outputting the change trend, namely outputting the change trend corresponding to the market price according to the established statistical relation model. The change trend can be an index such as a trend predicted value, a growth rate, a change amplitude and the like, and is used for describing the future change direction and amplitude of the market price.

According to the construction budget generating method, corresponding change trends of market prices are generated according to time sequence analysis, price prediction trend generation and statistical relation model establishment, so that trends of the market prices can be known more intuitively, and accurate budget decisions can be made.

In one implementation manner of the present embodiment, as shown in fig. 7, in step S107, if the market price meets the budget standard corresponding to the project organization classification module, the method further includes the following steps after obtaining the periodic trend data corresponding to the market price:

S701, generating a budget elastic range corresponding to the market price according to the periodical trend data;

s702, determining corresponding reference budget and floating amplitude according to the budget elastic range;

s703, combining the reference budget and the floating amplitude to generate a reserve budget scheme corresponding to the target engineering.

In steps S701 to S702, the budget elasticity range refers to a range in which the market price may fluctuate over a certain period of time. By analyzing and predicting the periodic trend data, the upper limit and the lower limit of the market price can be determined, and a range, namely a budget elasticity range, is formed. After determining the budget elastic range, the corresponding reference budget and float amplitude may be further determined. The reference budget refers to an intermediate or average value of market prices determined from historical data and predicted results as a reference for the budget. The floating amplitude refers to the amplitude of the reference budget floating up and down, i.e., half of the budget elastic range.

Further, by determining the baseline budget and the float margin, a flexible budget management hierarchy can be established. Within the fluctuation range of the market price, the budget can be adjusted according to actual conditions. When the market price exceeds the elastic range of the budget, corresponding measures can be taken in time to cope with price fluctuation, and the controllability and the stability of the budget are maintained.

In step S703, the reserve budget scheme is an established reserve budget scheme taking into consideration market price fluctuations on the basis of the reference budget. The purpose is to cope with the change of market price and ensure the smooth proceeding of the project and the feasibility of budget.

Specifically, the generation of the reserve budget solution can be broadly divided into the following steps: determining a reference budget, namely determining a reference budget as an initial budget of the project according to historical data and a predicted result, wherein the reference budget is usually determined according to an average value or an intermediate value of market price and can reflect the basic cost of the project; the floating amplitude is determined, namely, a floating amplitude is determined as the adjustment range of the standby budget according to the budget elastic range, the floating amplitude is half of the budget elastic range, and the floating amplitude can be determined according to the fluctuation condition of the market price and the risk bearing capacity of the project.

Further, a reserve budget solution may be formulated based on the reference budget and the float margin obtained as described above. The reserve budget approach can be divided into two cases: if the market price is reduced, that is, if the market price is lower than the reference budget, a lower limit value can be determined according to the floating amplitude, and the lower limit value of the reserve budget is obtained by subtracting the floating amplitude from the reference budget, so that the project can be ensured to have enough fund reserve to deal with the situation that the market price is reduced; if the market price increases, i.e. if the market price is higher than the reference budget, an upper limit can be determined based on the float amplitude, and adding the reference budget to the float amplitude yields the upper limit of the reserve budget, which ensures that in the event of an increase in the market price, the project has sufficient reserve of funds to avoid exceeding the budget.

It should be noted that the formulation of the reserve budget solution may improve the risk management capabilities and the flexibility of the budget of the project. By considering the fluctuation condition of the market price, the project can be ensured to be smoothly carried out under different market environments, and corresponding adjustment and countermeasures can be carried out on the fluctuation of the price.

According to the construction budget generation method provided by the embodiment, the fluctuation condition of the market price in a certain time is reflected by the budget elastic range, and the fluctuation of the market price is comprehensively analyzed by further combining the reference budget and the floating amplitude of the budget elastic range, so that corresponding budget adjustment can be timely made when the market price changes, and the real-time performance of construction budget generation is improved.

The embodiment of the application discloses a construction budget generating system, as shown in fig. 8, comprising:

the project acquisition module 1 is used for acquiring a target project corresponding to a construction project;

the project grouping module 2 is used for acquiring corresponding project groupings and project construction features corresponding to the project groupings according to the description information corresponding to the target projects;

the feature classification module 3 is used for combining project grouping and project construction features to form a project construction classification module corresponding to the target project;

The price matching module 4 is used for matching the market price corresponding to the project construction classification module from a preset price library;

the price index analysis module 5 is used for acquiring the corresponding target construction module and the periodic price index of the market price corresponding to the target construction module if the market price does not accord with the budget standard corresponding to the project construction classification module;

the risk assessment module 6 is used for carrying out budget risk assessment on the periodic price index and generating a corresponding risk assessment result as a risk identification item of the target construction module;

the price trend analysis module 7 is used for acquiring periodic trend data corresponding to the market price if the market price accords with the budget standard corresponding to the project construction classification module;

the comprehensive trend generation module 8 is used for importing the periodic trend data into a preset price trend prediction model, generating price prediction trend distribution corresponding to the project construction classification module, and integrating the data of the price prediction trend distribution to generate comprehensive trend distribution corresponding to the project grouping of the project construction classification module;

and the construction budget generating module 9 is used for generating a budget generating report corresponding to the target project according to the risk identification item or the item group and the comprehensive trend distribution.

According to the construction budget generating system provided by the embodiment, the description information of the target engineering is combined with project grouping and project construction characteristics according to the characteristic classifying module 3 to form the project construction classifying module, the complexity of the target engineering can be decomposed into smaller modules, the budget generating process is simplified, the budget programming efficiency is improved, then the market price corresponding to the project construction classifying module is matched from the preset price base through the price matching module 4, more accurate cost data can be obtained, meanwhile, if the market price does not accord with the budget standard, the periodic price index corresponding to the target construction module can be obtained through the price index analyzing module 5 to adjust the budget, further, the budget error can be reduced, the accuracy of budget generation is improved, further, for the market price which does not accord with the budget standard, the risk evaluation module 6 carries out budget evaluation on the periodic price index, the prediction and the potential cost risk are facilitated, the risk control capability of budget generation is improved, for the market price which accords with the budget standard, the periodic trend data corresponding to the market price is obtained through the price analyzing module 7, the preset price prediction model is imported through the comprehensive trend generating module 8, the corresponding prediction trend can be formed through the combination of the corresponding predicted trend data of the market trend distribution and the budget trend, the budget distribution can be combined with the budget trend of the budget forming module, the budget generating module can be combined with the corresponding budget trend generating module, and the budget construction budget generating module is more accurate by combining with the budget cost prediction module, and the budget construction budget generating module has the corresponding trend generating module according to the prediction module, thereby improving the efficiency and accuracy of construction budget generation.

It should be noted that, the construction budget generating system provided by the embodiment of the present application further includes each module and/or the corresponding sub-module corresponding to the logic function or the logic step of any one of the above construction budget generating methods, so that the same effects as each logic function or logic step are achieved, and detailed descriptions thereof are omitted herein.

The embodiment of the application also discloses a terminal device which comprises a memory, a processor and computer instructions stored in the memory and capable of running on the processor, wherein when the processor executes the computer instructions, any one of the construction budget generating methods in the embodiment is adopted.

The terminal device may be a computer device such as a desktop computer, a notebook computer, or a cloud server, and the terminal device includes, but is not limited to, a processor and a memory, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.

The processor may be a Central Processing Unit (CPU), or of course, according to actual use, other general purpose processors, digital Signal Processors (DSP), application Specific Integrated Circuits (ASIC), ready-made programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., and the general purpose processor may be a microprocessor or any conventional processor, etc., which is not limited in this respect.

The memory may be an internal storage unit of the terminal device, for example, a hard disk or a memory of the terminal device, or an external storage device of the terminal device, for example, a plug-in hard disk, a Smart Memory Card (SMC), a secure digital card (SD), or a flash memory card (FC) provided on the terminal device, or the like, and may be a combination of the internal storage unit of the terminal device and the external storage device, where the memory is used to store computer instructions and other instructions and data required by the terminal device, and the memory may be used to temporarily store data that has been output or is to be output, which is not limited by the present application.

Any one of the construction budget generating methods in the embodiments is stored in the memory of the terminal device through the terminal device, and is loaded and executed on the processor of the terminal device, so that the method is convenient to use.

The embodiment of the application also discloses a computer readable storage medium, and the computer readable storage medium stores computer instructions, wherein when the computer instructions are executed by a processor, any one of the construction budget generation methods in the embodiment is adopted.

The computer instructions may be stored in a computer readable medium, where the computer instructions include computer instruction codes, where the computer instruction codes may be in a source code form, an object code form, an executable file form, or some middleware form, etc., and the computer readable medium includes any entity or device capable of carrying the computer instruction codes, a recording medium, a usb disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, etc., where the computer readable medium includes but is not limited to the above components.

Wherein, any one of the construction budget generating methods in the above embodiments is stored in the computer readable storage medium through the present computer readable storage medium, and is loaded and executed on a processor, so as to facilitate the storage and application of the method.

The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.

Claims

1. A construction budget generation method, comprising the steps of:

acquiring a target project corresponding to a construction project;

2. The construction budget generating method according to claim 1, wherein matching the market price corresponding to the project construction classification module from a preset price base comprises the steps of:

3. The construction budget generating method according to claim 1, wherein budget risk assessment is performed on the periodic price index, and generating a corresponding risk assessment result as a risk identification item of the target construction module comprises the steps of:

Acquiring relevant data corresponding to the periodic price index;

4. A construction budget generating method according to claim 3, wherein after processing and analyzing said related data according to a preset data statistics strategy, generating corresponding trend change data further comprises the steps of:

5. A construction budget generating method according to claim 3, wherein budget risk assessment is performed on the trending variation data, and generating the risk assessment result of the corresponding risk probability distribution as the risk identification item of the target construction module comprises the steps of:

6. The construction budget generating method according to claim 1, wherein after obtaining the periodic trend data corresponding to the market price if the market price meets the budget standard corresponding to the project construction classification module, further comprising the steps of:

7. The construction budget generating method according to claim 1, wherein after obtaining the periodic trend data corresponding to the market price if the market price meets the budget standard corresponding to the project construction classification module, further comprising the steps of:

8. A construction budget creation system, comprising:

the engineering acquisition module (1) is used for acquiring a target engineering corresponding to a construction project;

the project grouping module (2) is used for acquiring corresponding project groupings and project construction features corresponding to the project groupings according to the description information corresponding to the target project;

The feature classification module (3) is used for combining the project group and the project construction features to form a project construction classification module corresponding to the target project;

the price matching module (4) is used for matching the market price corresponding to the project construction classification module from a preset price library;

the price index analysis module (5), if the market price does not accord with the budget standard corresponding to the project construction classification module, the price index analysis module (5) is used for obtaining a corresponding target construction module and a periodic price index corresponding to the market price by the target construction module;

the risk assessment module (6) is used for carrying out budget risk assessment on the periodic price index and generating a corresponding risk assessment result as a risk identification item of the target construction module;

the price trend analysis module (7), if the market price accords with the budget standard corresponding to the project construction classification module, the price trend analysis module (7) is used for acquiring periodic trend data corresponding to the market price;

the comprehensive trend generation module (8) is used for importing the periodic trend data into a preset price trend prediction model, generating price prediction trend distribution corresponding to the project construction classification module, and integrating the data of the price prediction trend distribution to generate comprehensive trend distribution corresponding to the project grouping by the project construction classification module;

And the construction budget generating module (9) is used for generating a budget generating report corresponding to the target project according to the risk identification item or the item group and the comprehensive trend distribution.

9. A terminal device comprising a memory and a processor, characterized in that the memory has stored therein computer instructions executable on the processor, which processor, when loaded and executed, employs a construction budget generating method according to any of the claims 1 to 7.

10. A computer readable storage medium having stored therein computer instructions, which when loaded and executed by a processor, employ a construction budget generating method according to any of claims 1 to 7.