CN116485237A - Method, system, equipment and medium for evaluating asset value of power regulation and control data - Google Patents
Method, system, equipment and medium for evaluating asset value of power regulation and control data Download PDFInfo
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Abstract
The invention discloses a method, a system, equipment and a medium for evaluating asset value of electric power regulation and control data, which comprise the following steps: acquiring operation data collection type information, data storage starting time information, stored data information and operation data storage period information of each unit of power regulation data, and calculating integrity parameters of each unit of power regulation data; counting the interval between the time for receiving the message and the data service time in each unit of power regulation data, and calculating the interval between the message time and the service time of each unit of power regulation data; and calculating the integrity parameter and the weight of the message time and the service time interval to obtain the asset value evaluation result of the power regulation and control data. The invention adopts a stream computing technology to realize quantitative data asset value evaluation of mass regulation and control data, and provides a quantitative evaluation solution for the data asset value. The invention establishes a quantitative evaluation method of the value of the electric power data asset and solves the current qualitative evaluation condition.
Description
Technical Field
The invention belongs to the technical field of power grid regulation and control, and relates to a method, a system, equipment and a medium for evaluating asset value of power regulation and control data.
Background
The data volume of each business system regulated by the power grid is in the trend of explosive growth, so that abundant information resources are accumulated, massive data of power grid operation and safe production are contained, and a large data regulation platform is built by the national power grid limited company on the basis. There is a need for a quick and accurate value assessment of electrical data assets that increases the efficiency of data asset management, application, and rendering for an enterprise. Accordingly, a data asset value assessment model based on integrity and timeliness is presented herein. The model provides an electric power data asset value evaluation index system, a quantitative value calculation method is established, a quantitative evaluation solution of the data asset value is provided, the asset value of electric power data can be effectively identified, and the efficiency of power grid enterprise data asset management is improved.
As shown in fig. 1, the type of the electric power data asset is judged, an index is constructed, factors influencing the index scoring are quantized, the index is weighted, the weight of each index is calculated by means of an entropy weight method, a scoring matrix of the index is constructed, and the value of the electric power data asset is calculated by means of a TOPSIS method.
At present, the following technical problems exist in the prior art:
(1) The current method for evaluating the asset value of the data in the regulation and control field is influenced by excessive artificial or subjective factors, so that the evaluation result is not objective and accurate enough.
(2) The existing calculation model has the problems of inaccurate and complex evaluation and long evaluation period.
(3) The evaluation mode is mainly used for evaluating access data of a single or specific scene, and the evaluation of the data asset value is not carried out from the perspective of global starting and supporting regulation panoramic data.
In summary, conventional assessment methods are crude and do not take into account the gaps between different enterprises.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a method, a system, equipment and a medium for evaluating the asset value of power regulation and control data.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a method for evaluating asset value of power regulation data, comprising the steps of:
obtaining an integrity index and a timeliness index according to the electric power regulation and control data;
calculating weights of an integrity index and a timeliness index by using yaahp analytic hierarchy process;
obtaining the intrinsic value score of the power regulation data according to the weights of the integrity index and the timeliness index;
and obtaining an asset value evaluation score of the electric power regulation data according to the intrinsic value score and the application value score of the electric power regulation data, and taking the asset value evaluation score as an asset value evaluation result of the electric power regulation data.
In a second aspect, the present invention provides a power regulation data asset value assessment system comprising:
the index calculation module is used for obtaining an integrity index and a timeliness index according to the electric power regulation and control data;
the weight calculation module is used for calculating weights of the integrity index and the timeliness index by adopting a yaahp analytic hierarchy process;
the scoring calculation module is used for obtaining the intrinsic value score of the electric power regulation and control data according to the weights of the integrity index and the timeliness index;
the evaluation module is used for obtaining the asset value evaluation score of the electric power regulation data according to the intrinsic value score and the application value score of the electric power regulation data, and taking the asset value evaluation score as an asset value evaluation result of the electric power regulation data.
In a third aspect, the present invention provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method as described above when executing the computer program.
In a fourth aspect, the present invention provides a computer readable storage medium storing a computer program which when executed by a processor performs the steps of a method as described above.
Compared with the prior art, the invention has the following beneficial effects:
the invention adopts a stream computing technology to realize quantitative data asset value evaluation of mass regulation and control data, and provides a quantitative evaluation solution for the data asset value. The invention establishes a quantitative evaluation method of the value of the electric power data asset and solves the current qualitative evaluation condition. Finally, the invention combines the integrity and timeliness to provide an electric power data asset value evaluation index system.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a conventional process for calculating the value of an electrical data asset.
FIG. 2 is a flow chart of a method of asset value assessment of power regulation data according to the present invention.
FIG. 3 is a schematic diagram of a power regulation data asset value assessment system of the present invention.
Fig. 4 is a general functional schematic of an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the embodiments of the present invention, it should be noted that, if the terms "upper," "lower," "horizontal," "inner," and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, or the azimuth or the positional relationship in which the inventive product is conventionally put in use, it is merely for convenience of describing the present invention and simplifying the description, and does not indicate or imply that the apparatus or element to be referred to must have a specific azimuth, be configured and operated in a specific azimuth, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Furthermore, the term "horizontal" if present does not mean that the component is required to be absolutely horizontal, but may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the embodiments of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
The invention is described in further detail below with reference to the attached drawing figures:
data asset: refers to data resources, such as file materials, electronic data, etc., which are owned or controlled by an enterprise and can bring future economic benefits to the enterprise, and which are recorded in a physical or electronic manner. In an enterprise, not all data constitutes data assets, which are data resources that can produce value for the enterprise.
Regulating data assets: the system comprises a power grid basic model, real-time monitoring, operation acquisition and management data, derived data generated based on primary data processing, data generated by service application and the like, and is a data resource with regulation and control service analysis mining value.
Integrity: no fields and records in the recorded data are deleted and the recorded data may fully describe the recorded service.
Timeliness: the data may function within a desired time and indirectly affect the results of the data analysis.
Referring to fig. 2, the embodiment of the invention discloses a method for evaluating the asset value of power regulation data, which comprises the following steps:
s1, acquiring operation data collection type information, data storage starting time information, stored data information and operation data storage period information of each unit of power regulation data;
s2, calculating the integrity parameters of each unit of power regulation and control data according to the operation data collection type information, the data storage starting time information, the stored data information and the operation data storage period information; the integrity parameters include type integrity status, start time integrity status, data integrity rate, and storage cycle integrity status.
The type integrity case a is as follows:
wherein C is the number of the types of the assets which are uploaded, and B is the total number of the assets;
the start time integrity D is as follows:
wherein E is the number of data assets meeting the uploading time requirement;
the data integrity case D is as follows:
where G is the number of assets for which data is complete.
The data integrity rate H is as follows:
wherein I is the number of complete days for data, and J is the number of days to be sent according to the plan.
The storage period integrity case K is as follows:
where L is the number of data assets meeting the upload cycle requirements and B is the total number of assets.
S3, counting the interval between the time for receiving the message and the data service time in each unit of power regulation data, and calculating the interval between the message time and the service time of each unit of power regulation data;
and S4, calculating the integrity parameter and the weight of the message time and the service time interval to obtain the asset value evaluation result of the power regulation and control data. The calculating the integrity parameter and the weight of the message time and the service time interval comprises the following steps:
the yaahp analytic hierarchy process software is adopted to calculate the weights of the type complete condition A, the initial time complete condition D, the data complete condition F, the data complete rate H, the storage period complete condition K, the message time and the service time interval M, and the specific steps are as follows:
S＝A×S1+D×S2+F×S3+H×S4+K×S5+M×S6
wherein, S represents the final score of the value of the data asset, S1 represents the weight of the complete situation of the type, S2 represents the weight of the complete situation of the starting time, S3 represents the weight of the complete situation of the data, S4 represents the weight of the complete rate of the data, S5 represents the weight of the complete situation of the storage period, and S6 represents the weight of the time interval of the message and the service.
The data application value uses expert experience, and a method of expert scoring is adopted to obtain relative application value scores to evaluate the data application value Sa. In addition, the value evaluation of the same data in different application scenes is different, so that the application value evaluation needs to be carried out by combining with a specific application scene.
TABLE 1 evaluation of data application value
And obtaining the data application value score (percentile).
Data application value sa=application value evaluation coefficient×100 points.
A data asset value assessment score.
The final score of the data asset value consists of the intrinsic value of the regulation data and the application value of the regulation data.
S f ＝(Sq×Sa)/100
As shown in fig. 3, an embodiment of the present invention provides a power regulation data asset value evaluation system, including:
the data acquisition module is used for acquiring the operation data collection type information, the data storage starting time information, the stored data information and the operation data storage period information of each unit of power regulation and control data;
the first calculation module is used for calculating the integrity parameters of each unit of power regulation and control data according to the operation data collection type information, the data storage starting time information, the stored data information and the operation data storage period information;
the second calculation module is used for counting the interval between the time for receiving the message and the data service time in each unit of power regulation data and calculating the interval between the message time and the service time of each unit of power regulation data;
and the weight calculation module is used for calculating the integrity parameter and the weight of the message time and the service time interval to obtain the asset value evaluation result of the power regulation and control data.
The principle of the invention is as follows:
as shown in fig. 4, the present inventors have performed quantitative evaluation based on integrity and timeliness mainly on data such as power, electricity, planning, prediction, etc. collected on a regulatory cloud. First, an evaluation index of integrity and timeliness is determined. The main indicators of integrity include: whether the type of the running data collection is complete (type complete situation), whether the starting time of the data storage meets the requirement (starting time complete situation), whether the stored data is complete (data complete situation), the data integrity rate, and whether the storage period of the running data meets the requirement (storage period complete situation); the timeliness index is mainly whether the transmission period of the operation data meets the requirement (message time and service time interval). Next, the weights of the respective indices are determined. And finally, forming an evaluation result of the data asset value.
The type complete condition, the starting time complete condition and the data complete condition evaluate the complete condition of the data asset from three dimensions respectively, and any parameter serving as an evaluation parameter of the data integrity is relatively compared with one surface; the data integrity rate is the result of superposition of the three parameters, and is a comprehensive integrity evaluation parameter considering the three parameters.
Examples:
step 1: construction index system and calculation rule
Constructing data asset application evaluation index system by AHP method
(1) Integrity index
1) Type complete case
2) Complete case of start time
3) Data integrity condition
4) Data integrity rate
Calculating the proportion of the number of the data assets sent to each type completely without missing data points to obtain the data day integrity condition, and then adding and averaging the data day integrity rate of the running data up to the present when the storage time is required to obtain the data integrity rate of each unit. The data integrity rate of a single asset is calculated as follows:
5) Complete storage cycle
(2) Timeliness index
Message time and service time interval: and counting data transmission period, namely, the interval between the time of receiving the message and the data service time. The power data transmission period is 1 minute within 15 minutes, and 1 minute is added more than 1 minute every 1 minute, and 10 minutes are added within 5 minutes.
Step 2: calculating weights and data asset value assessment scores
And (5) calculating the weight of each application evaluation index by using yaahp analytic hierarchy process software.
The value of the data asset is determined by the integrity rate calculation score and the timeliness calculation score together, and the final score is obtained by the sum of the scores of the integrity rate calculation score and the timeliness calculation score.
S＝A×S1+D×S2+F×S3+H×S4+K×S5+M×S6
Wherein, S represents the final score of the value of the data asset, S1 represents the weight of the complete situation of the type, S2 represents the weight of the complete situation of the starting time, S3 represents the weight of the complete situation of the data, S4 represents the weight of the complete rate of the data, S5 represents the weight of the complete situation of the storage period, and S6 represents the weight of the time interval of the message and the service.
The embodiment of the invention provides computer equipment. The computer device of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. The steps of the various method embodiments described above are implemented when the processor executes the computer program. Alternatively, the processor may implement the functions of the modules/units in the above-described device embodiments when executing the computer program.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present invention.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer device may include, but is not limited to, a processor, a memory.
The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like.
The memory may be used to store the computer program and/or modules, and the processor may implement various functions of the computer device by running or executing the computer program and/or modules stored in the memory, and invoking data stored in the memory.
The modules/units integrated with the computer device may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand alone products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The method for evaluating the asset value of the power regulation data is characterized by comprising the following steps of:
obtaining an integrity index and a timeliness index according to the electric power regulation and control data;
calculating weights of an integrity index and a timeliness index by using yaahp analytic hierarchy process;
obtaining the intrinsic value score of the power regulation data according to the weights of the integrity index and the timeliness index;
and obtaining an asset value evaluation score of the electric power regulation data according to the intrinsic value score and the application value score of the electric power regulation data, and taking the asset value evaluation score as an asset value evaluation result of the electric power regulation data.
2. The power regulation data asset value assessment method of claim 1, wherein the power regulation data comprises power, electricity quantity, predictions, plans, alarms, events, and weather; the integrity index comprises a type integrity condition, a starting time integrity condition, a data integrity rate and a storage period integrity condition; the timeliness index comprises a message time and a service time interval.
3. The power regulation data asset value assessment method of claim 2, wherein the type integrity condition Q 1 The following are provided:
wherein A is the number of the types of the assets which are uploaded, and B is the total number of the assets;
the start time is complete and the condition Q 2 The following are provided:
wherein C is the number of data assets meeting the uploading time requirement;
the data integrity case Q 3 The following are provided:
wherein D is the number of assets with complete data;
the data integrity rate Q 4 The following are provided:
e is the number of complete days of data, and F is the number of days to be sent according to the planning;
the storage period complete condition Q 5 The following are provided:
where G is the number of data assets that meet the upload cycle requirements.
4. A method of evaluating asset value of power regulation data according to claim 2 or 3, wherein the message time and service time interval Q 6 The following are provided:
wherein H is the number of data assets meeting the requirements of message time and service time interval.
5. The method of claim 4, wherein the calculating weights of the integrity index and the timeliness index using yaahp hierarchical analysis comprises:
calculating the type integrity case Q by 1 Complete condition of start time Q 2 Data integrity case Q 3 Data integrity rate Q 4 Complete storage cycle condition Q 5 And message time and service time interval Q 6 The weights of (2) are as follows:
1) Constructing a judgment matrix
According to expert opinion, adopting expert scoring method of pairwise factor comparison, comparing indexes pairwise according to importance degree, constructing a judging matrix w of the intrinsic value of data, and if the judging matrix w is compared with the judging matrix w, the value is 1:
wherein w is 11 The indicator representing the type of the complete situation has a value of 1, w compared with the indicator itself 1i Scoring after indicating type integrity condition index and message time compared with service time interval index, w i1 Scoring, w, representing the comparison of message time with service time interval index and type integrity condition index ii The index representing the time of the message and the service time interval is compared with the index itself, and the value is 1;
2) Calculating the weight of the intrinsic value index of the data
Consistency verification is carried out on the judgment matrix W, and the weight W of the intrinsic value index of the power regulation data is obtained:
W＝{w 1 ,w 2 ,w 3 ,w 4 ,w 5 ,w 6 }
wherein w is 1 Weights representing type complete cases, w 2 Weights indicating the completion of the start time, w 3 Weights, w, representing the integrity of the data 4 Weights, w, representing data integrity rate 5 Weights, w, representing the integrity of the storage period 6 And the weight of the message time and the service time interval is represented.
6. The power regulation data asset value assessment method of claim 5, wherein the indicators in the intrinsic value include an integrity indicator and a timeliness indicator;
the obtaining the intrinsic value score of the electric power regulation data according to the weights of the integrity index and the timeliness index comprises the following steps:
1) Calculating an intrinsic value score S corresponding to each index in the intrinsic value f ：
S f ＝{S 1 ,S 2 ,S 3 ,S 4 ,S 5 ,S 6 }
Wherein S is 1 Intrinsic value score representing type integrity, and S 1 ＝Q 1 ×100；S 2 An intrinsic value score representing the completion of the start time, and S 2 ＝Q 2 ×100；S 3 Intrinsic value score representing data integrity, and S 3 ＝Q 3 ×100；S 4 Intrinsic value score representing data integrity rate, and S 4 ＝Q 4 ×100；S 5 Intrinsic value score representing storage cycle integrity and S 5 ＝Q 5 ×100；S 6 An intrinsic value score representing the message time and the service time interval, and S 6 ＝Q 6 ×100；
2) Obtaining an intrinsic value score S of the power regulation data through weighted calculation q ：
S q ＝S f ·W T ＝w 1 ×S 1 +w 2 ×S 2 +w 3 ×S 3 +w 4 ×S 4 +w 5 ×S 5 +w 6 ×S 6
Wherein W is T A transpose of the weights representing the intrinsic value indicators.
7. The asset value assessment method of power regulation data according to claim 6, wherein the obtaining the asset value assessment score of the power regulation data according to the intrinsic value score and the application value score of the power regulation data comprises:
wherein S represents an asset value assessment score of the power regulation data; s is S a Representing power regulation dataApplication value; the application value S a The following are provided:
S a ＝g×100
wherein g represents an application value evaluation coefficient, and is obtained by an expert scoring method.
8. A power regulation data asset value assessment system, comprising:
the index calculation module is used for obtaining an integrity index and a timeliness index according to the electric power regulation and control data;
the weight calculation module is used for calculating weights of the integrity index and the timeliness index by adopting a yaahp analytic hierarchy process;
the scoring calculation module is used for obtaining the intrinsic value score of the electric power regulation and control data according to the weights of the integrity index and the timeliness index;
the evaluation module is used for obtaining the asset value evaluation score of the electric power regulation data according to the intrinsic value score and the application value score of the electric power regulation data, and taking the asset value evaluation score as an asset value evaluation result of the electric power regulation data.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310317786.9A CN116485237A (en) | 2023-03-27 | 2023-03-27 | Method, system, equipment and medium for evaluating asset value of power regulation and control data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310317786.9A CN116485237A (en) | 2023-03-27 | 2023-03-27 | Method, system, equipment and medium for evaluating asset value of power regulation and control data |
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| Publication Number | Publication Date |
|---|---|
| CN116485237A true CN116485237A (en) | 2023-07-25 |
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| CN117252403A (en) * | 2023-11-17 | 2023-12-19 | 深圳市易图资讯股份有限公司 | Industrial resource allocation management method and system based on asset information data |
| CN117252403B (en) * | 2023-11-17 | 2024-02-09 | 深圳市易图资讯股份有限公司 | Industrial resource allocation management method and system based on asset information data |
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