CN118013419B - Predictive maintenance data acquisition method and system for petrochemical industry - Google Patents
Predictive maintenance data acquisition method and system for petrochemical industry Download PDFInfo
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Abstract
The application relates to a method and a system for acquiring predictive maintenance data for petrochemical engineering, which belong to the field of data acquisition; the method for acquiring the predictive maintenance data for petrochemical industry comprises the steps of acquiring equipment information of instruments and equipment in a preset petrochemical industry area; the equipment information comprises equipment type information, equipment quantity information and equipment historical data acquisition information; determining newly added data amount information of each instrument device according to the device information; determining acquisition consumption resource amount information according to the newly added data amount information of the equipment; determining a plurality of preset data acquisition schemes according to the acquired consumption resource amount information and a preset acquisition scheme planning model; calculating the acquisition efficiency of each preset data acquisition scheme; and selecting each preset data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information to obtain a regional equipment data acquisition scheme. The application has the effect of improving the maintenance data acquisition efficiency.
Description
Technical Field
The application relates to the field of data acquisition, in particular to a method and a system for acquiring predictive maintenance data for petrochemical engineering.
Background
Petrochemical equipment is one of core assets of petrochemical enterprises, and normal operation of the petrochemical equipment is critical to production benefits and safety of the enterprises; in order to ensure the efficient and stable operation of the equipment, prolong the service life of the equipment, and effectively planning and predicting maintenance are important; therefore, the periodic data acquisition of instruments in the area of the petrochemical plant is required; in the process, certain problems exist, because of the large number of instruments, the coverage area of the instruments is wide, the data of the instruments are complex, and the data acquisition is often required to be carried out for a plurality of times in the same period, so that the whole data acquisition work consumes longer time and has low efficiency.
Disclosure of Invention
In order to solve the technical problems, the application provides a method and a system for acquiring predictive maintenance data for petrochemical engineering.
The application aims at providing a method for acquiring predictive maintenance data for petrochemical engineering.
The first object of the present application is achieved by the following technical solutions:
A method for collecting predictive maintenance data for petrochemical industry comprises the following steps:
Acquiring equipment information of instruments and equipment in a preset petrochemical industry area; the equipment information comprises equipment type information, equipment quantity information and equipment historical data acquisition information;
determining newly added data amount information of each instrument device according to the device information;
determining acquisition consumption resource amount information according to the newly added data amount information of the equipment;
Determining a plurality of preset data acquisition schemes according to the acquired consumption resource amount information and a preset acquisition scheme planning model;
calculating the acquisition efficiency of each preset data acquisition scheme;
And selecting each preset data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information to obtain a regional equipment data acquisition scheme.
The present application may be further configured in a preferred example, wherein the determining device new data amount information of each of the instrument devices according to the device information includes:
Acquiring park information of the preset petrochemical industry area, and determining park information of equipment of each instrument equipment according to the park information;
determining equipment use information according to the park information and the equipment type information of the equipment;
and determining the equipment newly-increased data amount information of each instrument equipment according to the equipment use information and the equipment historical data acquisition information.
The present application may be further configured in a preferred example, wherein the determining acquisition consumption resource amount information according to the device newly added data amount information includes:
determining the total amount of the newly added data of each park according to the information of the newly added data of the equipment and the information of the quantity of the equipment;
determining the data quantity to be collected of each park according to the preset data resource confidence and the total amount of the newly-added data of the park;
obtaining the total area acquisition data according to the data amount to be acquired of each park;
and determining acquisition consumption resource amount information according to the total amount of the area acquisition data.
The present application may be further configured in a preferred example, wherein the determining acquisition consumption resource amount information according to the area acquisition data amount includes:
Determining an acquisition capacity value according to the total amount of the area acquisition data;
And determining acquisition consumption resource amount information according to the acquisition capacity value and a preset acquisition capacity resource conversion rule.
The present application may be further configured in a preferred example, wherein the calculating the collection efficiency of each of the preset data collection schemes includes:
determining cycle acquisition frequency information and cycle acquisition coverage area information according to the preset data acquisition scheme;
Determining periodic single acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information;
Determining a first data acquisition sub-efficiency value according to the cycle acquisition frequency information;
Determining the quantity information of the covering instruments and the update quantity information of the data of the covering instruments according to the periodically acquired covering area information;
Determining a second data acquisition sub-efficiency value according to the coverage instrument quantity information and the coverage instrument data updating quantity information;
determining a third data acquisition sub-efficiency value according to the periodic single acquisition evaluation information;
and obtaining the acquisition efficiency of each preset data acquisition scheme according to the first data acquisition sub-efficiency value, the second data acquisition sub-efficiency value, the third data acquisition sub-efficiency value and the established efficiency calculation formula.
The present application may be further configured in a preferred example, wherein the determining the periodic single-acquisition evaluation information according to the periodic acquisition number information and the periodic acquisition coverage area information includes:
determining periodic single coverage area information according to the periodic acquisition coverage area information;
Determining periodic single coverage instrument information according to the periodic single coverage area information;
determining cycle single data acquisition comparison information according to the cycle single coverage area information and the cycle single coverage instrument information;
And determining the period single-time acquisition evaluation information according to the period single-time data acquisition comparison information.
In a preferred example, the method may further include selecting a data acquisition scheme of the area equipment according to the acquisition efficiency and the acquisition consumption resource amount information, where the selecting includes:
Determining a resource efficiency ratio value according to the acquisition efficiency and the acquisition consumption resource amount information;
Obtaining the selection score of each preset data acquisition scheme according to the resource efficiency proportion value and a preset selection calculation formula;
and determining a regional equipment data acquisition scheme according to the selection score.
The application further aims to provide a predictive maintenance data acquisition system for petrochemical industry.
The second object of the present application is achieved by the following technical solutions:
a predictive maintenance data collection system for petrochemical industry, comprising:
The acquisition module is used for acquiring equipment information of equipment in a preset petrochemical industry area; the equipment information comprises equipment type information, equipment quantity information and equipment historical data acquisition information;
the processing module is used for determining the equipment newly-added data amount information of each instrument equipment according to the equipment information;
The determining module is used for determining acquisition consumption resource amount information according to the newly-added data amount information of the equipment;
the planning module is used for determining a plurality of preset data acquisition schemes according to the acquired consumption resource quantity information and a preset acquisition scheme planning model;
The calculation module is used for calculating the acquisition efficiency of each preset data acquisition scheme;
And the selection module is used for selecting each preset data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information to obtain a regional equipment data acquisition scheme.
The application aims at providing a terminal.
The third object of the present application is achieved by the following technical solutions:
a terminal comprising a memory and a processor, the memory having stored thereon computer program instructions of the above-described predictive maintenance data collection method for petrochemical industry that can be loaded and executed by the processor.
A fourth object of the present application is to provide a computer medium capable of storing a corresponding program.
The fourth object of the present application is achieved by the following technical solutions:
A computer readable storage medium storing a computer program loadable by a processor and executable by any of the above methods for predictive maintenance data collection for petrochemical industry.
Drawings
FIG. 1 is a schematic flow chart of a method for collecting predictive maintenance data for petrochemical industry in an embodiment of the application.
FIG. 2 is a schematic structural diagram of a predictive maintenance data collection system for petrochemical industry in accordance with an embodiment of the present application.
Reference numerals illustrate: 1. an acquisition module; 2. a processing module; 3. a determining module; 4. a planning module; 5. a computing module; 6. and selecting a module.
Detailed Description
The present embodiment is only for explanation of the present application and is not to be construed as limiting the present application, and modifications to the present embodiment, which may not creatively contribute to the present application as required, are within the scope of the claims of the present application as far as they are protected by patent law.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiments of the application are described in further detail below with reference to the drawings.
The application provides a method for acquiring predictive maintenance data for petrochemical engineering, and the main flow of the method is described as follows.
As shown in fig. 1:
step S101: acquiring equipment information of instruments and equipment in a preset petrochemical industry area; the device information includes device type information, device number information, and device history data collection information.
Step S102: and determining the newly added data amount information of each instrument device according to the device information.
Specifically, determining the equipment newly-added data amount information of each instrument equipment according to the equipment information comprises acquiring park information of the preset petrochemical industry area, and determining the park information of the equipment of each instrument equipment according to the park information; determining equipment use information according to the park information and the equipment type information of the equipment; and determining the equipment newly-increased data amount information of each instrument equipment according to the equipment use information and the equipment historical data acquisition information.
It will be appreciated that in a petrochemical plant park, the park is divided into a plurality of areas, each area being responsible for a different part, the instrumentation usage within which is also different; therefore, after the purpose of the instrument is determined, the specific situation of the last acquired data of the instrument can be known by combining the historical data acquisition information of the instrument, and the newly added data amount of each instrument device after the last acquired data is further determined.
Step S103: and determining acquisition consumption resource amount information according to the newly added data amount information of the equipment.
In the embodiment of the application, determining the acquisition consumption resource amount information according to the equipment newly-increased data amount information comprises determining the total amount of the newly-increased data of each park according to the equipment newly-increased data amount information and the equipment amount information; determining the data quantity to be collected of each park according to the preset data resource confidence and the total amount of the newly-added data of the park; obtaining the total area acquisition data according to the data amount to be acquired of each park; and determining acquisition consumption resource amount information according to the total amount of the area acquisition data.
The method comprises the steps of determining acquisition consumption resource amount information according to the total amount of the area acquisition data, and determining an acquisition capacity value according to the total amount of the area acquisition data; and determining acquisition consumption resource amount information according to the acquisition capacity value and a preset acquisition capacity resource conversion rule.
After the newly added data volume of the equipment is determined, the data volume which should be collected in the current period can be determined; the data quantity to be collected of each park can be determined based on the confidence level of the preset data resources; the confidence coefficient of the preset data resource is a preset fixed parameter; the preset data resource confidence coefficient indicates that for the total amount of newly added data of the equipment in each park, when the data of the equipment is acquired in the current period, the data acquisition quantity of a certain proportion can be met, and the data acquisition work can be considered to be completed; the ratio is determined by the predictive characteristic of the maintenance data, and in the embodiment, the ratio is set as a preset fixed parameter, and the fixed parameter is directly substituted into a formula for calculation in the process of calculation; in the above process, after the total amount of the region acquisition data is obtained, the acquisition capacity value needs to be determined according to the total amount of the region acquisition data; the acquisition capacity value is a quantization standard used for reflecting an acquisition scheme, and a quantization index reflected by the acquisition capacity value is how much data can be acquired, so that the acquisition capacity value needs to be ensured to cover the data amount exceeding the total amount of the acquired data in the area; the preset collection capability resource conversion rule refers to a rule for converting two quantization indexes of a collection capability value and a collection consumption resource amount, and in this embodiment, a fixed parameter is set to ensure the conversion rule.
Specifically, the calculation formula is as follows:
；
Wherein A represents the newly added data quantity of the equipment, and K represents the quantity of the equipment; i takes a value of 1-n, which represents the first device to the nth device, j takes a value of 1=m, which represents the first park to the nth park; p represents the confidence of the preset data resource; therefore, it can be seen that the result of the calculation of the formula in the brackets represents the total amount of the region acquired data; q is more than 100%, Q represents a preset proportional value, and represents that the acquisition capacity value can cover and exceed the total amount of the acquired data of the area; in this embodiment, it is assumed that a capacity value of 1 unit can be equivalent to a data amount of 1 unit; l represents a conversion parameter for converting the acquisition capacity value and the acquisition consumption resource amount, and Z represents the acquisition consumption resource amount.
Step S104: and determining a plurality of preset data acquisition schemes according to the acquired consumption resource amount information and a preset acquisition scheme planning model.
It can be appreciated that in the embodiment of the present application, the construction of the preset acquisition scheme planning model is based on the historical data of the historical acquisition scheme; the historical data is analyzed and arranged, the amount of resources consumed for acquisition is determined, and a preset acquisition scheme planning model with a plurality of acquisition schemes is output.
Step S105: and calculating the acquisition efficiency of each preset data acquisition scheme.
Specifically, calculating the acquisition efficiency of each preset data acquisition scheme includes determining cycle acquisition times information and cycle acquisition coverage area information according to the preset data acquisition scheme; determining periodic single acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information; determining a first data acquisition sub-efficiency value according to the cycle acquisition frequency information; determining the quantity information of the covering instruments and the update quantity information of the data of the covering instruments according to the periodically acquired covering area information; determining a second data acquisition sub-efficiency value according to the coverage instrument quantity information and the coverage instrument data updating quantity information; determining a third data acquisition sub-efficiency value according to the periodic single acquisition evaluation information; and obtaining the acquisition efficiency of each preset data acquisition scheme according to the first data acquisition sub-efficiency value, the second data acquisition sub-efficiency value, the third data acquisition sub-efficiency value and the established efficiency calculation formula.
Wherein determining periodic single-acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information includes: determining periodic single coverage area information according to the periodic acquisition coverage area information; determining periodic single coverage instrument information according to the periodic single coverage area information; determining cycle single data acquisition comparison information according to the cycle single coverage area information and the cycle single coverage instrument information; and determining the period single-time acquisition evaluation information according to the period single-time data acquisition comparison information.
It can be understood that the preset data acquisition scheme includes the number of times of data acquisition required in the current period, the area covered by each time of data acquisition, and the number of instruments, the types of instruments and the update amount of instrument data corresponding to the area; the instrument data updating amount is the newly increased data amount in the current period compared with the previous period; the information is a variable which influences the acquisition efficiency; determining a first data acquisition sub-efficiency value based on the acquisition times; then determining a second data acquisition sub-efficiency value according to the coverage instrument quantity information and the coverage instrument data updating quantity information; it can be understood that the more the collection times, the lower the efficiency, the fewer the collection times, and the higher the efficiency; the more the number of instruments in the area covered by the acquisition and the more the data updating quantity of the instruments are, the higher the explanation efficiency is; conversely, the lower the efficiency.
It should be noted that in the above process, additional efficiency determination is required for the acquisition times and the acquisition coverage area; the importance of the number of acquisitions is self-evident for the current cycle; therefore, evaluation for each acquisition is also indispensable; based on the single coverage area information and the covered instrument information, comparing and judging, analyzing the efficiency of each acquisition work, and further obtaining periodic single acquisition evaluation information; and further determining a third data acquisition sub-efficiency value according to the periodic single acquisition evaluation information.
Step S106: and selecting each preset data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information to obtain a regional equipment data acquisition scheme.
Specifically, selecting each preset data acquisition scheme to obtain a regional equipment data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information comprises determining a resource efficiency proportion value according to the acquisition efficiency and the acquisition consumption resource amount information; obtaining the selection score of each preset data acquisition scheme according to the resource efficiency proportion value and a preset selection calculation formula; and determining a regional equipment data acquisition scheme according to the selection score.
It will be appreciated that the resource efficiency ratio value herein characterizes the collection efficiency that a unit amount of collection consumes resources, and that the higher this value, the higher the value that the cost of collection consumes resources is in exchange for.
The application also provides a system for acquiring the predictive maintenance data for petrochemical industry, as shown in fig. 2, which comprises an acquisition module for acquiring equipment information of instruments and equipment in a preset petrochemical industry area; the equipment information comprises equipment type information, equipment quantity information and equipment historical data acquisition information; the processing module is used for determining the equipment newly-added data amount information of each instrument equipment according to the equipment information; the determining module is used for determining acquisition consumption resource amount information according to the newly-added data amount information of the equipment; the planning module is used for determining a plurality of preset data acquisition schemes according to the acquired consumption resource quantity information and a preset acquisition scheme planning model; the calculation module is used for calculating the acquisition efficiency of each preset data acquisition scheme; and the selection module is used for selecting each preset data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information to obtain a regional equipment data acquisition scheme.
The processing module is further configured to acquire park information of the preset petrochemical industry area, and determine park information of equipment of each instrument equipment according to the park information; determining equipment use information according to the park information and the equipment type information of the equipment; determining the equipment newly-added data amount information of each instrument equipment according to the equipment use information and the equipment historical data acquisition information; determining the total amount of the newly added data of each park according to the information of the newly added data of the equipment and the information of the quantity of the equipment; determining the data quantity to be collected of each park according to the preset data resource confidence and the total amount of the newly-added data of the park; obtaining the total area acquisition data according to the data amount to be acquired of each park; and determining acquisition consumption resource amount information according to the total amount of the area acquisition data.
The determining module is further configured to determine an acquisition capability value from the total amount of area acquisition data; and determining acquisition consumption resource amount information according to the acquisition capacity value and a preset acquisition capacity resource conversion rule.
The computing module is further configured to determine periodic acquisition times information and periodic acquisition coverage area information according to the preset data acquisition scheme; determining periodic single acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information; determining a first data acquisition sub-efficiency value according to the cycle acquisition frequency information; determining the quantity information of the covering instruments and the update quantity information of the data of the covering instruments according to the periodically acquired covering area information; determining a second data acquisition sub-efficiency value according to the coverage instrument quantity information and the coverage instrument data updating quantity information; determining a third data acquisition sub-efficiency value according to the periodic single acquisition evaluation information; obtaining the acquisition efficiency of each preset data acquisition scheme according to the first data acquisition sub-efficiency value, the second data acquisition sub-efficiency value, the third data acquisition sub-efficiency value and a preset efficiency calculation formula; determining periodic single coverage area information according to the periodic acquisition coverage area information; determining periodic single coverage instrument information according to the periodic single coverage area information; determining cycle single data acquisition comparison information according to the cycle single coverage area information and the cycle single coverage instrument information; and determining the period single-time acquisition evaluation information according to the period single-time data acquisition comparison information.
The selection module is further configured to determine a resource efficiency ratio value based on the acquisition efficiency and the acquisition consumption resource amount information; obtaining the selection score of each preset data acquisition scheme according to the resource efficiency proportion value and a preset selection calculation formula; and determining a regional equipment data acquisition scheme according to the selection score.
In order to better execute the program of the method, the application also provides a terminal, which comprises a memory and a processor.
Wherein the memory may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing the above-described predictive maintenance data collection method for petrochemical industry, and the like; the storage data area may store data and the like involved in the above-described petrochemical predictive maintenance data collection method.
The processor may include one or more processing cores. The processor performs the various functions of the application and processes the data by executing or executing instructions, programs, code sets, or instruction sets stored in memory, calling data stored in memory. The processor may be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronics for implementing the above-described processor functions may be other for different devices, and embodiments of the present application are not particularly limited.
The present application also provides a computer-readable storage medium, for example, comprising: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes. The computer readable storage medium stores a computer program that can be loaded by a processor and that performs the above-described petrochemical predictive maintenance data collection method.
The above description is only illustrative of the preferred embodiments of the present application and the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features which may be formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Claims (5)
1. The method for collecting the predictive maintenance data for the petrochemical industry is characterized by comprising the following steps of:
Acquiring equipment information of instruments and equipment in a preset petrochemical industry area; the equipment information comprises equipment type information, equipment quantity information and equipment historical data acquisition information;
determining newly added data amount information of each instrument device according to the device information;
determining acquisition consumption resource amount information according to the newly added data amount information of the equipment;
Determining a plurality of preset data acquisition schemes according to the acquired consumption resource amount information and a preset acquisition scheme planning model;
calculating the acquisition efficiency of each preset data acquisition scheme;
selecting each preset data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information to obtain a regional equipment data acquisition scheme;
Determining the newly added data amount information of each instrument device according to the device information comprises acquiring park information of the preset petrochemical industry area, and determining the park information of the device of each instrument device according to the park information; determining equipment use information according to the park information and the equipment type information of the equipment; determining the equipment newly-added data amount information of each instrument equipment according to the equipment use information and the equipment historical data acquisition information; determining the total amount of the newly added data of each park according to the information of the newly added data of the equipment and the information of the quantity of the equipment; determining the data quantity to be collected of each park according to the preset data resource confidence and the total amount of the newly-added data of the park; obtaining the total area acquisition data according to the data amount to be acquired of each park; determining acquisition consumption resource amount information according to the total amount of the area acquisition data;
Calculating the acquisition efficiency of each preset data acquisition scheme comprises determining periodic acquisition times information and periodic acquisition coverage area information according to the preset data acquisition scheme; determining periodic single acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information; determining a first data acquisition sub-efficiency value according to the cycle acquisition frequency information; determining the quantity information of the covering instruments and the update quantity information of the data of the covering instruments according to the periodically acquired covering area information; determining a second data acquisition sub-efficiency value according to the coverage instrument quantity information and the coverage instrument data updating quantity information; determining a third data acquisition sub-efficiency value according to the periodic single acquisition evaluation information; obtaining the acquisition efficiency of each preset data acquisition scheme according to the first data acquisition sub-efficiency value, the second data acquisition sub-efficiency value, the third data acquisition sub-efficiency value and a preset efficiency calculation formula;
Determining periodic single-time acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information comprises determining periodic single-time coverage area information according to the periodic acquisition coverage area information; determining periodic single coverage instrument information according to the periodic single coverage area information; determining cycle single data acquisition comparison information according to the cycle single coverage area information and the cycle single coverage instrument information; and determining the period single-time acquisition evaluation information according to the period single-time data acquisition comparison information.
2. The method for collecting predictive maintenance data for petrochemical industry according to claim 1, wherein said selecting a regional equipment data collection scheme from each of said preset data collection schemes according to said collection efficiency and said collection consumption resource amount information comprises:
Determining a resource efficiency ratio value according to the acquisition efficiency and the acquisition consumption resource amount information;
Obtaining the selection score of each preset data acquisition scheme according to the resource efficiency proportion value and a preset selection calculation formula;
and determining a regional equipment data acquisition scheme according to the selection score.
3. A predictive maintenance data collection method system for petrochemical industry, comprising:
The acquisition module is used for acquiring equipment information of equipment in a preset petrochemical industry area; the equipment information comprises equipment type information, equipment quantity information and equipment historical data acquisition information;
the processing module is used for determining the equipment newly-added data amount information of each instrument equipment according to the equipment information;
The determining module is used for determining acquisition consumption resource amount information according to the newly-added data amount information of the equipment;
the planning module is used for determining a plurality of preset data acquisition schemes according to the acquired consumption resource quantity information and a preset acquisition scheme planning model;
The calculation module is used for calculating the acquisition efficiency of each preset data acquisition scheme;
The selection module is used for selecting each preset data acquisition scheme according to the acquisition efficiency and the acquisition consumption resource amount information to obtain a regional equipment data acquisition scheme;
The system is further configured to determine equipment newly added data amount information of each instrument equipment according to the equipment information, wherein the equipment newly added data amount information comprises the campus information of the preset petrochemical industry area, and the equipment belonging campus information of each instrument equipment is determined according to the campus information; determining equipment use information according to the park information and the equipment type information of the equipment; determining the equipment newly-added data amount information of each instrument equipment according to the equipment use information and the equipment historical data acquisition information; determining the total amount of the newly added data of each park according to the information of the newly added data of the equipment and the information of the quantity of the equipment; determining the data quantity to be collected of each park according to the preset data resource confidence and the total amount of the newly-added data of the park; obtaining the total area acquisition data according to the data amount to be acquired of each park; determining acquisition consumption resource amount information according to the total amount of the area acquisition data;
Calculating the acquisition efficiency of each preset data acquisition scheme comprises determining periodic acquisition times information and periodic acquisition coverage area information according to the preset data acquisition scheme; determining periodic single acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information; determining a first data acquisition sub-efficiency value according to the cycle acquisition frequency information; determining the quantity information of the covering instruments and the update quantity information of the data of the covering instruments according to the periodically acquired covering area information; determining a second data acquisition sub-efficiency value according to the coverage instrument quantity information and the coverage instrument data updating quantity information; determining a third data acquisition sub-efficiency value according to the periodic single acquisition evaluation information; obtaining the acquisition efficiency of each preset data acquisition scheme according to the first data acquisition sub-efficiency value, the second data acquisition sub-efficiency value, the third data acquisition sub-efficiency value and a preset efficiency calculation formula;
Determining periodic single-time acquisition evaluation information according to the periodic acquisition times information and the periodic acquisition coverage area information comprises determining periodic single-time coverage area information according to the periodic acquisition coverage area information; determining periodic single coverage instrument information according to the periodic single coverage area information; determining cycle single data acquisition comparison information according to the cycle single coverage area information and the cycle single coverage instrument information; and determining the period single-time acquisition evaluation information according to the period single-time data acquisition comparison information.
4. A terminal comprising a memory and a processor, the memory having stored thereon computer program instructions that are loaded by the processor and that perform the method according to any of claims 1-2.
5. A computer readable storage medium, characterized in that a computer program is stored which is loaded by a processor and which performs the method according to any of claims 1-2.
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