CN116485237A - A method, system, equipment and medium for assessing the value of power regulation data assets - Google Patents

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

A method, system, equipment and medium for assessing the value of power regulation data assets

technical field

The invention belongs to the technical field of power grid regulation and relates to a method, system, equipment and medium for assessing the value of electric power regulation data assets.

Background technique

The data volume of various business systems for power grid regulation is growing explosively, and has accumulated rich information resources, including massive data on power grid operation and safety production. On this basis, State Grid Corporation of China has built a big data platform for regulation. There is an urgent need for fast and accurate value evaluation of power data assets, so as to increase the efficiency of enterprise management, application and realization of data assets. Therefore, this paper proposes a data asset value evaluation model based on completeness and timeliness. This model proposes a power data asset value evaluation index system, constructs a quantitative value calculation method, and provides a quantitative evaluation solution for data asset value, which can effectively identify the asset value of power data and improve the efficiency of power grid enterprise data asset management.

As shown in Figure 1, determine the type of power data assets and construct indicators, quantify the factors that affect the index score and assign weights to the indicators, calculate the weight of each indicator with the help of the entropy weight method, construct the index scoring matrix, and calculate the value of the power data assets through the TOPSIS method.

At present, there are following technical problems in the prior art:

(1) The current evaluation method of data asset value in the regulatory field is affected by too many human or subjective factors, resulting in insufficient objective and accurate evaluation results.

(2) The current calculation model has the problems of inaccurate evaluation, complexity, and long evaluation period.

(3) The evaluation method mostly evaluates the access data of a single or specific scene, and does not evaluate the value of data assets from the perspective of supporting and regulating panoramic data.

To sum up, the traditional evaluation methods are relatively rough and do not take into account the gap between different enterprises.

Contents of the invention

The purpose of the present invention is to solve the problems in the prior art, and provide a method, system, equipment and medium for evaluating the value of power regulation data assets.

In order to achieve the above object, the present invention adopts the following technical solutions to achieve:

In the first aspect, the present invention provides a method for evaluating the value of power regulation data assets, including the following steps:

Obtain the completeness index and timeliness index according to the power control data;

Using yaahp analytic hierarchy process to calculate the weight of completeness index and timeliness index;

According to the weight of the completeness index and timeliness index, the intrinsic value score of the power regulation data is obtained;

According to the intrinsic value score and application value score of the power regulation data, the asset value evaluation score of the power regulation data is obtained as the asset value evaluation result of the power regulation data.

In the second aspect, the present invention provides a power regulation data asset value evaluation system, including:

The index calculation module is used to obtain the integrity index and the timeliness index according to the power regulation data;

The weight calculation module is used to calculate the weight of the completeness index and the timeliness index by using the yaahp analytic hierarchy process;

The score calculation module is used to obtain the intrinsic value score of the power regulation data according to the weight of the completeness index and the timeliness index;

The evaluation module is used to obtain the asset value evaluation score of the power regulation data according to the intrinsic value score and the application value score of the power regulation data, as the asset value evaluation result of the power regulation data.

In a third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the steps of the above method when executing the computer program.

In a fourth aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

Compared with the prior art, the present invention has the following beneficial effects:

The present invention adopts stream computing technology to realize quantitative data asset value evaluation of mass control data, and provides a quantitative evaluation solution for data asset value. The invention establishes a quantitative evaluation method for the value of electric power data assets, and solves the current situation of qualitative evaluation. Finally, the present invention combines completeness and timeliness, and proposes a power data asset value evaluation index system.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can also be obtained according to these drawings without creative work.

Figure 1 is a schematic diagram of the traditional process of calculating the value of power data assets.

Fig. 2 is a flow chart of the method for assessing the value of power regulation data assets in the present invention.

Fig. 3 is a schematic diagram of the power regulation data asset value evaluation system of the present invention.

Fig. 4 is an overall functional schematic diagram of the embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

In the description of the embodiments of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", "horizontal", "inside" and so on is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship that is usually placed when the product of the invention is used, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as limiting the present invention. In addition, the terms "first", "second", etc. are only used for distinguishing descriptions, and should not be construed as indicating or implying relative importance.

In addition, when the term "horizontal" appears, it does not mean that the part is required to be absolutely horizontal, but may be slightly inclined. For example, "horizontal" only means that its direction is more horizontal than "vertical", and it does not mean that the structure must be completely horizontal, but can be slightly inclined.

In the description of the embodiments of the present invention, it should be noted that, unless otherwise specified and limited, the terms "installation", "installation", "connection" and "connection" should be understood in a broad sense, for example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be a direct connection or an indirect connection through an intermediary, or it may be an internal connection between two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

The present invention is described in further detail below in conjunction with accompanying drawing:

Data assets: Refers to data resources, such as documents and electronic data, that are owned or controlled by the enterprise and can bring future economic benefits to the enterprise and are recorded in physical or electronic means. In an enterprise, not all data constitute data assets, and data assets are data resources that can generate value for the enterprise.

Regulatory data assets: including the basic model of the power grid, real-time monitoring, operation collection and management data, as well as derived data generated based on original data processing and data generated by business applications, etc., are data resources with value for regulatory business analysis and mining.

Integrity: No fields and records are deleted in the recorded data, and the recorded data can completely describe the recorded business.

Timeliness: Data can play a role within the required time and indirectly affect the results of data analysis.

Referring to Fig. 2, the embodiment of the present invention discloses a method for evaluating the value of power regulation data assets, including the following steps:

S1 acquires the operation data collection type information, data storage start time information, stored data information and operation data storage cycle information of the power regulation data of each unit;

S2 calculates the integrity parameters of the power regulation data of each unit according to the operation data collection type information, data storage start time information, stored data information, and operation data storage cycle information; the integrity parameters include type integrity, start time integrity, data integrity, data integrity rate, and storage cycle integrity.

The complete situation A of the said type is as follows:

Among them, C is the number of asset types that have been sent, and B is the total amount of assets;

The complete situation D of the start time is as follows:

Among them, E is the number of data assets that meet the upload time requirements;

The completeness of the data is as follows:

Among them, G is the number of assets with complete data.

The data integrity rate H is as follows:

Among them, I is the number of days when the data is complete, and J is the number of days that should be delivered according to the plan.

The complete situation K of the storage cycle is as follows:

Among them, L is the number of data assets that meet the requirements of the upload cycle, and B is the number of total assets.

S3 counts the interval between the time of receiving the message and the data service time in the power control data of each unit, and calculates the message time and the service time interval of the power control data of each unit;

S4 calculates the integrity parameter and the weight of the message time and business time interval, and obtains the value evaluation result of the power regulation data asset. The calculation of the integrity parameter and the weight of the message time and the service time interval includes:

Use the yaahp analytic hierarchy process software to calculate the type completeness A, the start time completeness D, the data completeness F, the data completeness rate H, the storage cycle completeness K and the weight of the message time and the business time interval M, as follows:

S=A×S1+D×S2+F×S3+H×S4+K×S5+M×S6

Among them, S represents the final score of data asset value, S1 represents the weight of complete type, S2 represents the weight of complete start time, S3 represents the weight of complete data, S4 represents the weight of complete data rate, S5 represents the weight of complete storage period, and S6 represents the weight of message time and business time interval.

Data application value utilizes expert experience, adopts the method of expert scoring, and obtains the relative application value score to evaluate the data application value Sa. In addition, the value evaluation of the same data in different application scenarios is different, so the application value evaluation needs to be combined with specific application scenarios.

Table 1 Data Application Value Evaluation Form

Get the data application value score (percentage system).

Data application value Sa = application value evaluation coefficient × 100 points.

Data asset value assessment score.

The final score of data asset value is composed of the intrinsic value of regulatory data and the application value of regulatory data.

_Sf = (Sq×Sa)/100

As shown in Figure 3, an embodiment of the present invention provides a power regulation data asset value evaluation system, including:

The data acquisition module is used to acquire the operation data collection type information, data storage start time information, stored data information and operation data storage cycle information of the power regulation data of each unit;

The first calculation module is used to calculate the integrity parameters of the power regulation data of each unit according to the operation data collection type information, data storage start time information, stored data information and operation data storage cycle information;

The second calculation module is used to count the interval between the time of receiving the message and the data service time in the power control data of each unit, and calculate the message time and the service time interval of the power control data of each unit;

The weight calculation module is used to calculate the integrity parameter and the weight of the message time and the business time interval, and obtain the value evaluation result of the power regulation data asset.

Principle of the present invention:

As shown in Fig. 4, the inventor mainly conducts quantitative evaluation based on completeness and timeliness for regulating and controlling the data collected on the cloud such as electric power, electricity, planning, and forecasting. First, determine the evaluation indicators for completeness and timeliness. The main indicators of integrity include: whether the type of operation data collection is complete (type integrity), whether the data storage start time meets the requirements (start time integrity), whether the stored data is complete (data integrity), data integrity rate, whether the operation data storage cycle meets the requirements (storage cycle integrity); the timeliness index mainly refers to whether the operation data transmission cycle meets the requirements (message time and business time interval). Second, determine the weight of each indicator. Finally, an evaluation result of the value of data assets is formed.

Type integrity, start time integrity, and data integrity evaluate the integrity of data assets from three dimensions. Any parameter used as an evaluation parameter for data integrity is relatively one-sided; the data integrity rate is the result of the superposition of the above three parameters, and it is a comprehensive integrity evaluation parameter that considers the three parameters.

Example:

Step 1: Build the indicator system and calculation rules

Using the AHP method to build a data asset application evaluation index system

(1) Integrity index

1) Type completeness

2) The complete situation of the starting time

3) Data integrity

4) Data integrity rate

Calculate the proportion of each type of uploaded data assets with complete numbers and no missing data points to obtain the daily data integrity, and then calculate the data integrity rate of each unit by summing the daily integrity rates of operational data from the required storage time to the present. Among them, the data integrity rate of a single asset is calculated as follows:

5) The completeness of the storage cycle

(2) Timeliness index

Message Time and Service Time Interval: Statistical data transmission cycle, that is, the interval between the time when a message is received and the data service time. 1 point will be added if the power data transmission period is within 15 minutes, 1 point will be added for every 1 minute shortening of the transmission period, and 10 points will be added if the transmission period is shortened by 5 minutes or less.

Step 2: Calculate weight and data asset value assessment score

Use yaahp analytic hierarchy process software to calculate the weight of each application evaluation index.

The value of data assets is jointly determined by the completeness rate calculation score and the timeliness calculation score, and the final score is obtained by the sum of the two scores.

S=A×S1+D×S2+F×S3+H×S4+K×S5+M×S6

Among them, S represents the final score of data asset value, S1 represents the weight of complete type, S2 represents the weight of complete start time, S3 represents the weight of complete data, S4 represents the weight of complete data rate, S5 represents the weight of complete storage period, and S6 represents the weight of message time and business time interval.

A computer device provided by an embodiment of the present invention. The computer device of this embodiment includes: a processor, a memory, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the steps in the foregoing method embodiments are implemented. Alternatively, when the processor executes the computer program, the functions of the modules/units in the foregoing device embodiments are implemented.

The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to implement the present invention.

The computer equipment may be computing equipment such as a desktop computer, a notebook, a palmtop computer, and a cloud server. The computer device may include, but is not limited to, a processor, memory.

The processor may be a central processing unit (Central Processing Unit, CPU), or 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, etc.

The memory can be used to store the computer programs and/or modules, and the processor implements various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory.

If the integrated modules/units of the computer equipment are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention realizes all or part of the processes in the methods of the above-mentioned embodiments, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can realize the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to the legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

The above are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within 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.