CN115545401B - Urban physical examination evaluation method, system and computer equipment based on visual index model configuration - Google Patents
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Abstract
The invention relates to the technical field of urban physical examination evaluation, in particular to an urban physical examination evaluation method, an urban physical examination evaluation system and computer equipment based on visual index model configuration, wherein the method is used for implementing evaluation indexes and model data configuration management through configuration of visual and intelligent index models in homeland space planning; the configuration of the index model comprises the following steps: constructing a visualized index model, and packaging a plurality of rule algorithms of basic service into a plurality of rule components serving as a calculation frame core part of the index model; and when the rule component of the intelligent index model is used for configuring the parameter factors of the rule component, a cascade relation is added among the parameter factors, and after the configuration of the pre-set parameter factors, the pre-set parameter factors are automatically analyzed, so that selectable parameter options are provided for the post-set parameter factors. The method can convert the model construction operation of the complex business logic into the visual rule component dragging, the rule components can be freely combined for operation, the method is more convenient and effective, and the difficulty of index model construction is reduced.
Description
Technical Field
The invention relates to the technical field of urban physical examination evaluation, in particular to a method, a system and computer equipment for urban physical examination evaluation based on visual index model configuration.
Background
The urban physical examination evaluation work conforms to the urban development rule, integrally and systematically knows the whole process of planning, constructing and managing, and is beneficial to timely finding out the problems in urban construction. Urban physical examination evaluation is carried out by establishing and evaluating various indexes of urban development and periodically monitoring, evaluating and feeding back the success of urban construction management work from various evaluation dimensions.
With the gradual application of a supervision information system and the implementation of homeland space planning, the corresponding urban physical examination evaluation index system is gradually established to carry out periodic physical examination on the implementation condition of the urban homeland space planning. Because the positioning of the space planning of each level of the country, the province and the city and county is different, the emphasis on the index system of the urban physical examination evaluation is also different, and different cities can select the index suitable for the urban characteristics of the places according to the requirements of the urban planning implementation targets on the basis of the constraint indexes of the national and provincial-level homeland space planning, autonomously configure the index system and customize and construct the exclusive index evaluation model of the city.
The construction of the urban physical examination evaluation indexes and the analysis model is a complex work, cross correlation exists among various indexes, and different analysis statistical tools are needed to carry out correlation analysis, so that heavy index model configuration management work is formed. Therefore, a technical scheme based on visual index model construction is necessary to be provided so as to realize intelligent city assessment and improve objectivity and efficiency of city physical examination assessment work.
Disclosure of Invention
In order to overcome the defects existing in the prior art and reduce the workload of index model configuration management in the urban physical examination evaluation process, and further improve the evaluation efficiency of urban physical examination evaluation and homeland space development protection current situation evaluation work, the invention provides an urban physical examination evaluation method, an urban physical examination evaluation system and computer equipment based on visual index model configuration.
The invention aims at providing the urban physical examination evaluation method based on the configuration of the visual index model, wherein the evaluation method is used for implementing evaluation index and model data configuration management through configuration of the visual and intelligent index model for the homeland space planning; wherein, the configuration of the index model comprises the following steps:
constructing a visualized index model, and packaging a plurality of rule algorithms of basic service into a plurality of rule components serving as a calculation frame core part of the index model;
and when the rule component of the intelligent index model is used for configuring the parameter factors of the rule component, a cascade relation is added among the parameter factors, and after the configuration of the pre-set parameter factors, the pre-set parameter factors are automatically analyzed, so that selectable parameter options are provided for the post-set parameter factors.
It is still another object of the present invention to provide an urban physical examination assessment system configured based on a visual index model, wherein the assessment system is configured with a visual and intelligent index model for implementing assessment indexes and model data configuration management in homeland space planning; the configuration of the index model comprises the following modules:
the visual index model constructing module is used for packaging a plurality of rule algorithms of basic service into a plurality of rule components serving as a calculation framework core part of the index model;
the rule component intellectualization module is used for intellectualizing rule components of the index model, adding cascade relations among the parameter factors when configuring the parameter factors of the rule components, automatically analyzing the pre-positioned parameter factors after configuring the pre-positioned parameter factors, and providing selectable parameter options for the post-positioned parameter factors.
It is a further object of the present invention to provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, said processor implementing the above-mentioned urban physical examination assessment method when executing said computer program.
The invention can carry out visual management and flexible configuration on the index model, lightens the workload of the index model configuration management in the urban physical examination evaluation process, meets the requirements of implementation and supervision business adjustment of the national space planning of each level, and provides index model calculation support for the planning, examination, implementation, monitoring, evaluation and early warning of the national space. Compared with the prior art, the invention has the following technical effects:
1. according to the invention, urban physical examination evaluation is carried out by constructing a visual index model, a building block-like mode is provided for constructing an index model system, basic services are packaged into various rule components, when the index model is constructed by a visual interface, models based on various business requirements are constructed by free combination through the form of drag-and-drop components, the rule components are connected and arranged in a connection mode with arrows, the directions of the arrows represent actual operation steps of the models, and complicated code languages in the prior art can be skipped, so that the business logic is focused. Therefore, in the invention, the index model construction supports the visualization operation, the model construction operation of complex business logic can be converted into the dragging of the visualized rule components, the rule components can be freely combined for operation, the method is more convenient and effective, and the difficulty of constructing the index model is reduced.
2. In the index model construction process, the rule components are the most core part in the calculation framework of the index model, and contain parameter configuration required by each rule component; if the parameter factors of each parameter are manually input, errors are easily caused.
According to the invention, the rule components of the index model are intelligently set, the automatic analysis of the parameter factors of the rule components is designed, the linkage between different parameter factors of the rule components is realized, and when the preset parameter factors are switched, the post-set parameter factors are associated and transformed, so that the method is simpler and more convenient in a visual configuration page. In the parameter factor configuration process of the rule component, after the pre-set parameter factors are configured, the pre-set parameter factors are automatically analyzed, and the existing configuration information of the current index model is automatically identified, so that selectable parameter options are provided for the post-set parameter factors, handwriting input is replaced by selecting a configuration mode, a user can conveniently know the data structure of the index model data source, and errors caused by handwriting input can be reduced.
3. In the process of constructing the index model, the general basic business logic is constructed into the composite rule component with the preset basic function through arrangement among rules, the composite rule component can be directly introduced into the construction of the index model, and can be expanded on the basis of the composite rule component to construct different complete index models, so that the configuration operation of repeated business logic construction in the index models of the same type is reduced, and the problem that repeated configuration work possibly exists in the index models of the same type is solved.
Drawings
FIG. 1 is a flowchart of an index model configuration of an urban physical examination evaluation method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of adding rule components to a visualization building window in a drag-and-drop manner in an embodiment of the present invention;
FIG. 3 is a schematic diagram of regular component connection in a wired mode in accordance with an embodiment of the present invention;
FIG. 4 is a flow chart of the scheduling of model running tasks in an embodiment of the invention;
FIG. 5a is a schematic diagram of a first visual monitoring window of a model running task in an embodiment of the present invention;
FIG. 5b is a schematic diagram of a second visual monitoring window of a model running task in an embodiment of the present invention;
FIG. 5c is a display interface of a map base displayed in a second visual monitoring window in an embodiment of the present invention;
FIG. 6a is a schematic diagram of an attribute configuration of a data source component in an embodiment of the present invention;
FIG. 6b is a diagram of a graphical layer list window when data source components are configured in accordance with an embodiment of the present invention;
FIG. 6c is a diagram of a filter condition configuration window for configuring data source components in an embodiment of the present invention;
FIG. 6d is a drop down selection representation of the configuration of data source components in an embodiment of the present invention;
FIG. 7 is a schematic diagram of a formula configuration of algorithm components in an embodiment of the invention;
FIG. 8 is a schematic diagram of a parameter factor B configuration of a city expansion index algorithm component in accordance with an embodiment of the present invention;
FIG. 9a is a schematic diagram of a build compound rule component in an embodiment of the invention;
FIG. 9b is a schematic diagram of an educational facility reachability analysis model constructed using a composite rule component in an embodiment of the present invention;
FIG. 9c is a schematic diagram of a government facility reachability analysis model constructed using a compound rule component in accordance with an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but embodiments of the present invention are not limited thereto.
Example 1
The embodiment provides an urban physical examination assessment method based on visual index model configuration, wherein a visual construction interface and a component library are provided in index model construction based on urban physical examination assessment; in the construction interface, index models based on various service demands are constructed by free combination through the form of drag-and-drop rule components, the rule components are connected and arranged in a connection mode with arrows, the pointing direction of the arrows is used for representing the execution sequence of the index models when the index models actually run, and parameter factors of the rule components are configured to form a model running topological graph.
In the urban physical examination evaluation method provided by the embodiment, the combinable and customizable visual and intelligent index model is configured, so that the implementation of evaluation indexes and model data configuration management on the homeland space planning is more flexible, the display is more visual and rich, and the service of homeland space planning management users is facilitated. As shown in fig. 1, the configuration process of the combinable, customizable visual and intelligent index model comprises the following steps:
s1, constructing a visual index model.
The aim of the visualization of this embodiment is to provide a building block-like way to build an index model system, skipping those cumbersome code languages, focusing on the business logic itself. The construction process of the visual index model comprises the following steps:
s11, creating rule components, packaging a plurality of rule algorithms of basic service into a plurality of rule components, and storing the rule components in a component library; the parameter factors of the rule components are extracted, and the configuration interface of the rule components is provided in a visual form as a visual construction interface (also called visual construction window). And then realizing linkage among parameter factors of the rule components through a visual construction interface.
The rule component is the most central part in the computational framework of the index model and contains all the basic services that support the model's operational analysis. According to the embodiment, the basic service is packaged, the parameter factors are extracted, the configuration interface of the rule components is provided in a visual mode, the parameter factors contained in each rule component are linked, when the preset parameter factors are transformed, the post-positioned parameter factors are transformed, and the operation of the visual construction interface is simpler and more convenient.
S12, adding the created rule components into a visual construction interface, defining and adding the execution sequence and the association relation of the rule components, setting the sequential execution logic relation among the rule components, and forming a topological graph of the index model operation.
The embodiment provides two working modes for the visual construction interface, namely a mobile mode and a connecting mode, and the two working modes are switchable. In the moving mode, the related rule components in the component library are added to the visual construction interface in a dragging and dropping mode, and the positions of the rule components in the visual construction interface can be dragged and adjusted at will, as shown in fig. 2, after the rule components are selected by long-time pressing of the right mouse button in the component library, the rule components are dragged to any positions of the visual construction interface, and the rule components can be added by releasing the mouse.
For rule components added in the visual construction interface, association relations and execution sequences of all rule components are defined to form a complete index model. After the visual construction interface is switched to a connection mode, two rule components are sequentially clicked to be connected, connection from the rule component clicked first to the rule component clicked later is automatically added, an arrow of the connection points to the rule component clicked later from the rule component clicked first, the logic relation between the rule components is represented, the rule components at the start end of the arrow are executed first, and the execution result is used as an input parameter factor of the rule components at the end of the arrow. As shown in fig. 3, after the visual construction interface is switched to the connection mode and two rule components "2000 construction land data" and "2000 construction land grid data" are clicked in sequence, a connection from the rule component "2000 construction land data" to the "2000 construction land grid data" is automatically added, and the connection is provided with an arrow.
That is, in the step, after the rule component is selected in the moving mode of the visual construction interface, the rule component is dragged from the component library to a proper position of the visual construction interface, and then the selection of the rule component is removed, so that the addition of the rule component is completed; and in a connection mode of the visual construction interface, clicking the rule components successively to define and add connection lines between the rule components, and setting the execution logic relationship between the rule components according to the clicking sequence.
S13, visually setting the model operation monitoring.
Index model visualization is also important in addition to the model build job visualization, namely model operation monitoring visualization. The method comprises the steps of entering a task scheduling center after an index model is operated, and executing operation tasks of the index model one by adopting a mode of combining single threads with task queues based on the performance requirements of an index model calculation framework, so that enough memory is ensured to support the operation of the index model. In order to meet the concurrency of the triggering of the model running tasks, all the model running tasks are unified to enter a task scheduling center to generate task queues, the task scheduling center performs unified scheduling, and the model of a single thread sequentially runs a model running task scheduling flow, as shown in fig. 4.
In this embodiment, the visualization of model run monitoring includes the following aspects:
s131, providing a first visual monitoring window to view and display all model running tasks.
In this embodiment, a first visual monitoring window for viewing all model running tasks is provided, as shown in fig. 5a, all running task data are displayed through the first visual monitoring window, and a corresponding viewing operation button is set for each model running task in the first visual monitoring window. The running task data mainly comprises basic information of a model running task and a task running state, wherein the basic information comprises a model name, a task starting time, a task ending time and a task running time, and the task running state comprises to-be-run, in-running, successful running and the like. In this embodiment, different running states of the model running task are distinguished by colors in the first visual monitoring window, for example, the model running task to be run is orange in icon, the running model running task is blue in icon, and the running successful model running task is green in icon.
S132, providing a second visual monitoring window to visually monitor each model running task, and monitoring the running progress of the model running task and the state of each rule component in the model running task in real time, wherein the second visual monitoring window is clicked from a checking operation button of each model running task in the first visual monitoring window.
In this embodiment, a view operation button of a corresponding model running task is clicked in a first visual monitoring window, a second visual monitoring window of the model running task is entered, and to which node (i.e., rule component) the model running task runs and the state of each node are monitored in real time, as shown in fig. 5 b.
Each model has an established rule assembly execution sequence, and when the model calculation framework starts to run the model, the calculation framework is responsible for scheduling all rule assemblies contained in the model and feeding back the state of each rule assembly to the second visual monitoring window in real time. When one rule component starts to execute, the rule component is set to be in an executing state, and after the rule component is executed, the rule component is set to be in an executing success state, and the state of the rule component is synchronized to a second visual monitoring window in real time, so that the monitoring of the model operation task is realized. In the second visual monitoring window, the running states of the model rule components are marked by graphs with different colors, the execution success of the rule components is represented by green, and the running states of the model are presented in a most visual and clear mode without color marks in the process that the rule components are executed by blue.
S132, visually displaying the operation result of the rule component.
Suspending the mouse cursor of the second visual monitoring window on a node (namely a rule component) of the index model, displaying a node information window beside the node, and displaying more detailed information of the node through the node information window, wherein the detailed information comprises node ID, node state, running information and execution time. If the result output after the node operates is space data, a map viewing button and a data downloading button are displayed in the node information window; clicking the map view button, the second visual monitoring window further displays a display interface containing a map base map, and superimposes and displays the operation result of the node in the map base map, as shown in fig. 5 c. And displaying all element data lists contained in the operation result in a display interface of the map base map, clicking element data lines, and directly positioning and displaying details on the map.
S2, when the rule component of the intelligent index model is configured, cascade relations are added among the parameter factors, after the pre-set parameter factors are configured, the pre-set parameter factors are automatically analyzed, and selectable parameter options are provided for the post-set parameter factors.
Visualization of model construction replaces a large number of cumbersome code languages, but the parameter factor configuration of rule components still contains code languages. The intelligent rule component aims to avoid the condition that the code language needs to be manually input in the parameter factor configuration process as much as possible so as to automatically generate the code language.
When parameter factors of the rule component are configured, in order to meet the intelligent requirement, handwriting input of the parameter factors is reduced, and cascade relations are added among the parameter factors; after the pre-set parameter factors are configured, the pre-set parameter factors are automatically analyzed and the like, so that selectable parameter options are provided for the post-set parameter factors.
The embodiment is described by taking a data source component with a data format of geodata base as an example:
the data source component needs configured parameter factors including data source file, layer name, filtering condition, etc., as shown in fig. 6 a. The data source file is selected from a file list provided by the system, when the required data source file does not exist in the file list, the corresponding file can be uploaded and stored in a data source file library, and then the selection configuration is carried out. After the data source file is selected, the system automatically analyzes the data source file, acquires all layer data contained in the data source file and adds the layer data to a layer list window for display, as shown in fig. 6b, a list of all layer names contained in one data source file is displayed, and at the moment, the configuration of layer name parameter factors can be completed by clicking the layer names in the selected layer list window, so that the manner of handwriting input of the layer names is replaced. Through intelligent configuration of the rule assembly parameter factors, on one hand, accuracy of the layer name parameter factor values is guaranteed, on the other hand, the rule assembly parameter factors can be used as a tool for previewing the data source file, all layer data contained in the data source file are displayed in an intuitive mode, the data structure and the composition of the data source file can be known without a third-party tool, and whether the selected data source file meets the requirement of the configured index model can be judged preliminarily.
After the layer name parameter factors are configured, all attribute fields and data contained in the selected layer are automatically analyzed, a visualized filter condition configuration window is provided when the filter condition of the data source file is configured, as shown in fig. 6c, when an edit box of the filter condition configuration window is clicked, the visualized configuration window is automatically popped up, and the attribute field data obtained through analysis according to the pre-parameter factors are displayed; in addition, the default connector, operator and all the field data such as the condition values corresponding to the attribute fields are provided, and the field data are displayed in the form of a drop-down selection table, and meanwhile, the selection items of the drop-down selection table support fuzzy matching filtering, so that quick searching is facilitated, as shown in fig. 6d. After selecting the connector, the operator and the condition value, automatically generating a filtering condition, and reducing handwriting input of a code language; meanwhile, when the automatically generated condition value cannot meet the actual requirement through the code language, the manual modification is supported. The filter condition configuration window also provides a verification function, so that the configured filter conditions can be verified at any time, and the correctness of the configured conditions is ensured.
Therefore, in the configuration process of the rule component, namely the data source rule, the embodiment automatically analyzes the data source file, provides the layer names contained in the data source file and the field attributes corresponding to each layer in the configuration page, can easily complete the configuration of the index model without using a tool of a third party, greatly reduces the handwriting input configuration of parameter factors, and avoids the error problem caused by handwriting.
The present embodiment is also described taking the configuration of algorithm components as an example:
the algorithm component is also a special component in the rule component, which provides a rule component capable of completely customizing the algorithm formula, and the algorithm component automatically outputs the calculation result according to the customized formula and formula parameters. In this embodiment, the algorithm formula is designed into a visual configuration window, the mathematical formula editing obtained immediately after the finding is provided, a group of common formulas, letters and symbol templates are provided, the formulas, letters or symbols in the templates are clicked, corresponding formula templates, letters or symbols are automatically added in the algorithm editing frame, then corresponding parameters are supplemented on the basis of the templates, handwriting input in the formula customization process is reduced, and the accuracy of the formula is improved, as shown in fig. 7.
The parameter factors of the rule components that may be configured in this step, and may also be other components in the index model, are not limited to the data source components and algorithm components illustrated above. The rule components are connected and arranged in a connecting mode with arrows to form an index model, the direction of the arrows represents the execution sequence in the operation analysis process of the index model, and other rule components which are connected to the rule components according to the arrows can be used as parameter factors of the rule components. When the configuration mode of one parameter factor in the rule components is defined as the form of a drop-down selection table, and the data sources of the selection items of the drop-down selection table are other rule components accessed to the rule components, in the parameter factor configuration process, other rule component sets accessed to the rule components are automatically analyzed and acquired, the configuration is shown in the form of the drop-down selection table, and the requirement that the other rule components serve as the parameter factors can be met by clicking and selecting the corresponding data items for configuration.
As shown in fig. 8, the 1990 construction land grid data component and the 2000 construction land grid data component are simultaneously connected to the urban expansion index algorithm component, when the parameter factor B in the urban expansion index algorithm component is configured, the option list comprising the 1990 construction land grid data component and the 2000 construction land grid data component is automatically analyzed and provided, the configuration is carried out in a pull-down selection table mode, the complex underlying code language is replaced, and the configuration process of the index model is simplified.
S3, combining two or more rule components repeatedly used by the index model of the same type in the index model system according to business logic to construct a composite rule component, and directly multiplexing the composite rule component into each index model construction.
In the index model system, index models with similar business targets and purposes can be summarized into one type of models, and the index models of the same type can have the same business rules and calculation factors, which are common parts among the index models of the same type. There are, of course, differences between the index models, such as different index models using different business data and including unique business rules, etc.
A composite rule component (also referred to as a combination component) is a component formed by logically combining two or more rule components that reuse the same type of index model. The purpose of designing the composite rule assembly is to reduce repeated work when constructing an index model system, the multiplexed rule assembly is logically constructed into the composite rule assembly, and then the composite rule assembly is directly multiplexed into each index model construction, so as to achieve the purpose of reducing repeated work.
Taking an educational facility reachability analysis model and a government facility reachability analysis model as examples, both models are index models for performing reachability analysis based on road data and corresponding POI data, except that the former uses educational facility POI data and the latter uses government facility POI data. Before constructing the two index models, general logic, namely logic of the part of reachability analysis according to road data and POI data, can be extracted to construct a compound rule assembly.
In this embodiment, before the educational facility reachability analysis model and the government facility reachability analysis model are constructed, a general assembly of the educational facility reachability analysis model and the government facility reachability analysis model is constructed, as shown in fig. 9a, which realizes the general functions of performing road cost calculation by combining road data with POI data, and performing hierarchical processing on the result data of the road cost calculation. The subsequent combination assembly can be directly used, expansion and supplement are carried out on the basis of the combination assembly, the POI data source assembly is configured according to actual conditions, and the reachability analysis model aiming at different facilities can be realized by using different data sources. Fig. 9b is an educational facility reachability analysis model using educational facility POI data sources, fig. 9c is a government facility POI data source using government facility POI data sources, and the two index models are expanded by different service functions based on a combined component in addition to using different POI data sources to realize different analysis functions.
Example 2
The embodiment and the embodiment 1 are based on the same invention conception, and provide an urban physical examination evaluation system configured based on a visual index model, which is used for implementing evaluation indexes and model data configuration management in homeland space planning by configuring a visual and intelligent index model; the configuration of the index model comprises the following modules:
the visual index model constructing module is used for packaging a plurality of rule algorithms of basic service into a plurality of rule components serving as a calculation framework core part of the index model;
the rule component intellectualization module is used for intellectualizing rule components of the index model, adding cascade relations among the parameter factors when configuring the parameter factors of the rule components, automatically analyzing the pre-positioned parameter factors after configuring the pre-positioned parameter factors, and providing selectable parameter options for the post-positioned parameter factors.
In this embodiment, when a rule component is created, a building module of the visual index model encapsulates a plurality of rule algorithms of a basic service into a plurality of rule components, and stores the rule components in a component library; extracting parameter factors of the rule components, and providing a configuration interface of the rule components in a visual form as a visual construction interface; and adding the created rule components into a visual construction interface, defining and adding the execution sequence and the association relation of the rule components, setting the sequential execution logic relation among the rule components, and forming a topological graph of the index model operation.
In addition, when the rule assembly intelligent module configures parameter factors of the rule assembly, the rule assembly is connected and arranged in a connection mode with an arrow to form an index model, the direction of the arrow represents the execution sequence in the operation analysis process of the index model, and other rule assemblies which are connected to the rule assembly according to the arrow are all used as the parameter factors of the rule assembly;
when the configuration mode of one parameter factor in the rule components is defined in the form of a pull-down selection table, and the data sources of the selection items of the pull-down selection table are other rule components accessed to the rule components, in the parameter factor configuration process, other rule component sets accessed to the rule components are automatically analyzed and acquired, and are displayed in the form of the pull-down selection table, and the configuration is performed by clicking and selecting the corresponding data items.
The present embodiment also provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program, when executed by the processor, implements the city physical examination evaluation method described in embodiment 1.
The above examples are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principle of the present invention should be made in the equivalent manner, and the embodiments are included in the protection scope of the present invention.
Claims (13)
1. The urban physical examination evaluation method based on the visual index model configuration is characterized in that the evaluation method is used for implementing evaluation indexes and model data configuration management through configuration of visual and intelligent index models in the homeland space planning; wherein, the configuration of the index model comprises the following steps:
constructing a visualized index model, and packaging a plurality of rule algorithms of basic service into a plurality of rule components serving as a calculation frame core part of the index model;
the rule component of the intelligent index model is used for adding a cascade relation among the parameter factors when the parameter factors of the rule component are configured, automatically analyzing the preposed parameter factors after the preposed parameter factors are configured, and providing selectable parameter options for the postposed parameter factors;
the method for constructing the visual index model comprises the following steps:
creating rule components, packaging a plurality of rule algorithms of basic service into a plurality of rule components, and storing the rule components in a component library; extracting parameter factors of the rule components, and providing a configuration interface of the rule components in a visual form as a visual construction interface;
adding the created rule components into a visual construction interface, defining and adding the execution sequence and the association relation of the rule components, setting the sequential execution logic relation among the rule components, and forming a topological graph of index model operation;
constructing a visual index model, and further comprising visual settings for model operation monitoring; a visual setup for model operation monitoring, comprising:
providing a first visual monitoring window to view and display all model running tasks; displaying all running task data through a first visual monitoring window, and setting corresponding checking operation buttons for each model running task in the first visual monitoring window;
providing a second visual monitoring window for visually monitoring each model running task, and monitoring the running progress of the model running task and the state of each rule component in the model running task in real time, wherein the second visual monitoring window is clicked from a checking operation button of each model running task in the first visual monitoring window;
visually displaying the operation result of the rule assembly, suspending a mouse cursor of a second visual monitoring window on the rule assembly of the index model, displaying a node information window beside the rule assembly, and displaying detailed information of the rule assembly through the node information window; and if the result output by the rule component after operation is space data, displaying a map view button and a data download button in the node information window.
2. The urban physical examination assessment method according to claim 1, wherein when creating rule components, the parameter factors contained in each rule component are linked, and when the pre-set parameter factors are transformed, the post-set parameter factors are transformed.
3. The urban physical examination assessment method according to claim 1, wherein the created rule components are stored in a component library, and the working mode of the visual construction interface comprises a switchable moving mode and a connecting mode;
in a moving mode, after a rule component is selected, dragging the rule component from a component library to a visual construction interface, and then removing the selection of the rule component to finish the addition of the rule component;
in the connection mode, the rule components are clicked successively to define and add connection lines among the rule components, and the execution logic relationship among the rule components is set according to the clicking sequence.
4. The urban physical examination evaluation method according to claim 3, wherein in the connection mode, connection is performed by clicking two rule components in sequence, connection lines from a rule component clicked first to a rule component clicked later are automatically added, arrows of the connection lines point to the rule components clicked later from the rule component clicked first, and the arrows represent logical relations among the rule components; the rule component at the arrow start point end is executed first, and the execution result is used as an input parameter factor of the rule component at the arrow end point end.
5. The urban physical examination evaluation method according to claim 1, wherein when the parameter factors of the rule components are configured, the rule components are connected and arranged in a line mode with arrows to form an index model, the direction of the arrows represents the execution sequence in the operation analysis process of the index model, and other rule components which are accessed to the rule components according to the arrows are all used as the parameter factors of the rule components;
when the configuration mode of one parameter factor in the rule components is defined in the form of a pull-down selection table, and the data sources of the selection items of the pull-down selection table are other rule components accessed to the rule components, in the parameter factor configuration process, other rule component sets accessed to the rule components are automatically analyzed and acquired, and are displayed in the form of the pull-down selection table, and the configuration is performed by clicking and selecting the corresponding data items.
6. The urban physical examination assessment method according to claim 1 or 5, wherein the rule component of the index model comprises a data source component, and the parameter factors required to be configured by the data source component comprise a data source file, a layer name and a filtering condition; the steps of the intelligent data source component include:
the data source file is selected from a file list provided by the system, when the required data source file does not exist in the file list, the corresponding file is uploaded and stored in a data source file library, and then selection configuration is carried out;
after selecting a data source file, the system automatically analyzes the data source file, acquires all layer data contained in the data source file and adds the layer data into a layer list window for display; the configuration of the layer name parameter factors is completed by clicking the layer names in the selected layer list window;
automatically analyzing all attribute fields and data contained in the selected layer, providing a visual filtering condition configuration window when the filtering condition of the data source file is configured, automatically popping up the visual configuration window when the edit box of the filtering condition configuration window is clicked, and displaying the attribute field data obtained by analyzing according to the pre-parameter factors; providing default connectors, operators and all condition value field data corresponding to each attribute field, and displaying in a form of a drop-down selection table; after selecting the connector, operator and condition value, automatically generating the filtering condition.
7. The urban physical examination assessment method according to claim 1, wherein the configuration of the index model further comprises the steps of:
two or more rule components repeatedly used by the index model of the same type in the index model system are combined according to business logic to construct a composite rule component, and the composite rule component is directly multiplexed into each index model construction.
8. The urban physical examination evaluation system based on the visual index model configuration is characterized in that the evaluation system is used for implementing evaluation index and model data configuration management through configuration of a visual and intelligent index model for homeland space planning; the configuration of the index model comprises the following modules:
the visual index model constructing module is used for packaging a plurality of rule algorithms of basic service into a plurality of rule components serving as a calculation framework core part of the index model;
the rule component intellectualization module is used for intellectualizing rule components of the index model, adding cascade relations among the parameter factors when configuring the parameter factors of the rule components, automatically analyzing the pre-positioned parameter factors after configuring the pre-positioned parameter factors, and providing selectable parameter options for the post-positioned parameter factors;
when a rule assembly is created, a building module of the visual index model packages a plurality of rule algorithms of basic service into a plurality of rule assemblies, and the rule assemblies are stored in an assembly library; extracting parameter factors of the rule components, and providing a configuration interface of the rule components in a visual form as a visual construction interface; adding the created rule components into a visual construction interface, defining and adding the execution sequence and the association relation of the rule components, setting the sequential execution logic relation among the rule components, and forming a topological graph of index model operation;
the construction module of the visual index model is also used for visual setting of model operation monitoring; a visual setup for model operation monitoring, comprising:
providing a first visual monitoring window to view and display all model running tasks; displaying all running task data through a first visual monitoring window, and setting corresponding checking operation buttons for each model running task in the first visual monitoring window;
providing a second visual monitoring window for visually monitoring each model running task, and monitoring the running progress of the model running task and the state of each rule component in the model running task in real time, wherein the second visual monitoring window is clicked from a checking operation button of each model running task in the first visual monitoring window;
visually displaying the operation result of the rule assembly, suspending a mouse cursor of a second visual monitoring window on the rule assembly of the index model, displaying a node information window beside the rule assembly, and displaying detailed information of the rule assembly through the node information window; and if the result output by the rule component after operation is space data, displaying a map view button and a data download button in the node information window.
9. The urban physical examination evaluation system according to claim 8, wherein the rule assembly intelligent module is connected and arranged in a line mode with an arrow to form an index model when the parameter factors of the rule assembly are configured, the direction of the arrow represents the execution sequence in the running analysis process of the index model, and other rule assemblies which are accessed to the rule assembly according to the arrow are all used as the parameter factors of the rule assembly;
when the configuration mode of one parameter factor in the rule components is defined in the form of a pull-down selection table, and the data sources of the selection items of the pull-down selection table are other rule components accessed to the rule components, in the parameter factor configuration process, other rule component sets accessed to the rule components are automatically analyzed and acquired, and are displayed in the form of the pull-down selection table, and the configuration is performed by clicking and selecting the corresponding data items.
10. The urban physical examination assessment system according to claim 8 or 9, wherein the rule component of the index model comprises a data source component, and the parameter factors required to be configured by the data source component comprise a data source file, a layer name and a filtering condition; the steps of the intelligent data source component include:
the data source file is selected from a file list provided by the system, when the required data source file does not exist in the file list, the corresponding file is uploaded and stored in a data source file library, and then selection configuration is carried out;
after selecting a data source file, the system automatically analyzes the data source file, acquires all layer data contained in the data source file and adds the layer data into a layer list window for display; the configuration of the layer name parameter factors is completed by clicking the layer names in the selected layer list window;
automatically analyzing all attribute fields and data contained in the selected layer, providing a visual filtering condition configuration window when the filtering condition of the data source file is configured, automatically popping up the visual configuration window when the edit box of the filtering condition configuration window is clicked, and displaying the attribute field data obtained by analyzing according to the pre-parameter factors; providing default connectors, operators and all condition value field data corresponding to each attribute field, and displaying in a form of a drop-down selection table; after selecting the connector, operator and condition value, automatically generating the filtering condition.
11. The urban physical examination assessment system of claim 8, wherein the rule components are created such that the parameters included in each rule component are linked, and wherein the post-parameters are transformed when the pre-parameters are transformed.
12. The urban physical examination assessment system of claim 8, wherein the created rule components are stored in a component library, and the working mode of the visual construction interface comprises a switchable movement mode and a connection mode;
in a moving mode, after a rule component is selected, dragging the rule component from a component library to a visual construction interface, and then removing the selection of the rule component to finish the addition of the rule component;
in the connection mode, the rule components are clicked successively to define and add connection lines among the rule components, and the execution logic relationship among the rule components is set according to the clicking sequence.
13. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the urban physical examination assessment method according to any one of claims 1-7 when executing the computer program.
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