Power grid data management method and system based on service platform

Abstract

The invention relates to the technical field of power grid data transmission, in particular to a power grid data management method and system based on a service platform. The method comprises the following steps: acquiring power grid production management data based on a power production management system, receiving the power grid production management data by a service intermediate station, and obtaining a first transmission priority index of the power grid production management data under a data feature dimension transmission priority index according to the power grid production management data and the data feature dimension transmission priority index; calculating a second transmission priority index of the power grid production management data under the business demand feature dimension according to the power grid production management data; calculating according to the power grid production management data to obtain a third transmission priority index of the power grid production management data under the waiting time length feature dimension; and sequentially transmitting the information based on the information transmission priority indexes. According to the invention, timely transmission of important data can be ensured, reliability and stability of a power grid system are improved, and fine management of a smart power grid is supported.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid data transmission, and specifically relates to a power grid data governance method and system based on a business middle platform. Background Art

[0002] With the continuous expansion of the business scale of the State Grid, the continuous improvement of the informatization level of the business, and the gradual development of big data projects, the State Grid's demand for data quality has become increasingly urgent.

[0003] Although the existing information systems have comprehensively covered business areas such as enterprise operation, power grid operation, and customer service, as well as applications at all levels, providing strong support for the effective operation of various businesses, the problem of insufficient data standardization still directly affects data analysis and application. In the prior art, when scheduling power grid nodes, for some power grid production management data, the priority of some data is not considered for data transmission, and manual scheduling execution is often relied on, resulting in low efficiency in the power dispatching process and low intelligent decision-making efficiency.

[0004] Therefore, there is an urgent need for a power grid data governance method and system based on a business middle platform to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a power grid data governance method and system based on a business middle platform: to solve the technical problems that in the existing solution, when scheduling power grid nodes, for some power grid production management data, the priority of some data is not considered for data transmission, and manual scheduling execution is often relied on, resulting in low efficiency in the power dispatching process and low intelligent decision-making efficiency.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] On the one hand, a power grid data governance method based on a business middle platform is applied to a power production management system, and the power generation management system is communicatively connected to the business middle platform. The method includes:

[0008] Obtain power grid production management data based on the power production management system, where the power grid production management data includes power equipment operation status information, power dispatching management information, automation monitoring information, and fault diagnosis information;

[0009] The business middle platform receives the power grid production management data, and obtains the first transmission priority index of the power grid production management data under the transmission priority index of the data feature dimension according to the power grid production management data and the data feature dimension transmission priority index;

[0010] Calculate the second transmission priority index of the power grid production management data under the business requirement feature dimension according to the power grid production management data;

[0011] Calculate the third transmission priority index of the power grid production management data in the waiting duration feature dimension based on the power grid production management data.

[0012] Calculate the information transmission priority index in the power grid production management data based on the first transmission priority index, the second transmission priority index, and the third transmission priority index, and transmit information in the order of the information transmission priority index.

[0013] Furthermore, the transmission priority indicators for data feature dimensions include urgency, real-time performance, reliability, security, and information category:

[0014] Urgency indicates that the time for information to be transmitted in the business middleware is within a preset time. For information with high urgency requirements, the response requirements and importance for transmission are high. Sort the urgency of information according to the length of time for information to be transmitted in the business middleware. The shorter the time, the higher the urgency.

[0015] Real-time performance indicates the delay sensitivity of information during transmission in the business middleware. Sort the real-time performance of information according to the level of delay during transmission in the business middleware. The lower the delay, the higher the real-time performance.

[0016] Reliability indicates the reliability requirements for information during transmission in the business middleware. Sort the reliability of information according to the preset reliability requirement levels, where the preset reliability requirement levels are stored in the business middleware.

[0017] Security indicates the encryption requirements for information during transmission in the business middleware. Sort the security of information according to the number of information encryption times during transmission in the business middleware. The more encryption times, the higher the security.

[0018] The information category indicates the category corresponding to the information in the power grid production management data. The categories include power equipment operation status information category, power dispatching management information category, automation monitoring information category, and fault diagnosis information category. Define the category priority ranking: fault diagnosis information category > power dispatching management information category > power equipment operation status information category > automation monitoring information category;

[0019] Among them, urgency, real-time performance, reliability, security, and information category have a positive correlation with the transmission priority.

[0020] Furthermore, according to the power grid production management data and the transmission priority indicators for data feature dimensions, the process of obtaining the first transmission priority index of the power grid production management data under the transmission priority indicators for data feature dimensions specifically includes the following:

[0021] Define the transmission priority indicators for data feature dimensions as set K = {k1 , k 2 , k 3 , k 4 , k 5},define the set \(D = \{d m}\), which represents the set of files in the grid production management data that need to perform information transmission tasks within a preset time. \(d m \) represents the information to be transmitted, \(m = 1, 2, \cdots, M\), and \(M\) represents the number of files in the grid production management data;

[0022] Use \(f(m, n)\) to represent the importance level of \(d m \) in the data feature dimension transmission priority index \(k n \):

[0023] \(f(m, n)=d m (k n ), n = 1, 2, 3, 4, 5;

[0024] Among them, \(d m (k n )\in\{1, 2, 3, \cdots, S n}\), and \(S n \) represents that \(d m \) has \(S n \) different requirements for the data feature dimension transmission priority index \(k n \); if \(d m \) has the lowest requirement for the data feature dimension transmission priority index \(k n \), then \(d m (k n ) = 1\), if \(d m \) has the highest requirement for the data feature dimension transmission priority index \(k n \), then \(d m (k n ) = S n ;

[0025] To calculate the importance level of \(d m \) in the data feature dimension transmission priority index \(k n \), define the importance level matrix \(I n \) of the \(n\)th data feature dimension transmission priority index \(k n \):

[0026]

[0027] Among them, represents the importance level of \(d i \) compared with \(d n \) in the data feature dimension transmission priority index \(k i \). Among them, the values of \(i\) and \(j\) are 1, 2, \cdots, M, and are calculated according to the following formula:

[0028]

[0029] Among them, the value of N is 5;

[0030] Sum the importance degree matrix I of the transmission priority indicators for each data feature dimension n to obtain the comprehensive importance degree matrix C ij :

[0031]

[0032] Sum the row vectors of matrix C ij to obtain d m The priority b under all data feature dimension transmission priority indicators i :

[0033]

[0034] Map b i to the interval [X, 1] through the interval mapping function to obtain the first transmission priority index LYZ of the power grid production management data under the data feature dimension transmission priority indicators:

[0035]

[0036] Among them, the value of X is 0.2, b i min takes the minimum value in b i in b i max takes the maximum value in b i in.

[0037] Furthermore, calculating the second transmission priority index of the power grid production management data under the business demand feature dimension according to the power grid production management data specifically includes the following process:

[0038] Obtain the search frequency of each category of information and the timeliness of each category of information in the power grid production management data. Among them, the timeliness is the time interval from the generation of each category of information to its transmission by the business middle platform. The shorter the time interval, the higher the timeliness;

[0039] Calculate the sum value of the search frequency and the timeliness, and record the sum value as the second transmission priority index of the power grid production management data under the business demand feature dimension.

[0040] Furthermore, calculating the third transmission priority index of the power grid production management data under the waiting duration feature dimension according to the power grid production management data specifically includes the following process:

[0041] Calculate the time interval T from when the power grid production management data enters the waiting queue to the current moment;

[0042] Based on the normalization formula, calculate the third transmission priority index LSZ of the power grid production management data in the waiting duration feature dimension:

[0043]

[0044] Where the value of X is 0.2, Tmax represents the longest time interval in the waiting queue, and Tmin represents the shortest time interval in the waiting queue.

[0045] Furthermore, calculate the information transmission priority index in the power grid production management data based on the first transmission priority index, the second transmission priority index, and the third transmission priority index. Transmitting information based on the size order of the information transmission priority index specifically includes the following process:

[0046] Substitute the first transmission priority index, the second transmission priority index, and the third transmission priority index into the correlation formula to calculate the information transmission priority index LMS in the power grid production management data. The correlation formula is as follows:

[0047]

[0048] Where LEZ is the second transmission priority index, and α, β, μ are weight coefficients with magnitudes of 0.3, 0.4, and 0.3 respectively;

[0049] Transmit information based on the size order of the information transmission priority index.

[0050] On the other hand, a power grid data governance system based on a business middle platform, the system includes a data acquisition module, a business middle platform, and an information transmission priority index calculation module;

[0051] The data acquisition module is used to obtain power grid production management data based on the power production management system. Among them, the power grid production management data includes power equipment operation status information, power dispatching management information, automation monitoring information, and fault diagnosis information;

[0052] The business middle platform is used to receive the power grid production management data and obtain the first transmission priority index of the power grid production management data under the data feature dimension transmission priority index according to the power grid production management data and the data feature dimension transmission priority index;

[0053] Calculate the second transmission priority index of the power grid production management data in the business requirement feature dimension according to the power grid production management data;

[0054] The third transmission priority index of the power grid production management data is calculated based on the power grid production management data under the waiting duration feature dimension;

[0055] An information transmission priority index calculation module, which is used to calculate the information transmission priority index in the power grid production management data based on the first transmission priority index, the second transmission priority index, and the third transmission priority index, and transmit information based on the order of the information transmission priority index.

[0056] Compared with the existing solutions, the beneficial effects achieved by the present invention are as follows:

[0057] Ensure the timely transmission of important data: In the power grid system, certain data such as real-time power consumption and power grid stability indicators are of extremely high importance and need to be transmitted to the control center or relevant decision-making departments as soon as possible. By setting the data transmission priority, it can be ensured that these important data are given priority during the transmission process, thereby shortening the transmission delay and improving the real-time performance and accuracy of the data.

[0058] Optimize the utilization of network resources: By setting the data transmission priority, network resources can be reasonably allocated to avoid the over-occupation of network resources by low-priority data. This helps to optimize the network bandwidth and transmission efficiency and ensure the efficient utilization of network resources.

[0059] Improve the reliability and stability of the system: By setting the data transmission priority, it can be ensured that key data are given priority during the transmission process, and important data can be transmitted in a timely manner even in the case of poor network conditions. This helps to improve the reliability and stability of the power grid system and ensure the normal operation of the power grid.

[0060] Support the refined management of smart grids: By setting the data transmission priority, hierarchical management and differential processing of power grid data can be achieved, providing strong support for the refined management of smart grids. For example, for key data such as real-time power consumption and power grid stability indicators, a higher transmission priority can be set to monitor and control the operation status of the power grid in a timely manner. Brief Description of the Drawings

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0062] Figure 1 It is a flowchart of the working process of a power grid data governance method based on a business middle platform according to an embodiment of the present invention;

[0063] Figure 2It is a system block diagram of a power grid data governance method system based on a business middle platform according to an embodiment of the present invention. Detailed implementation manners

[0064] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0065] In addition, the described features, structures or characteristics may be combined in any suitable manner in one or more example embodiments. In the following description, numerous specific details are provided to give a thorough understanding of the example embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, steps, etc. may be used. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0066] This embodiment provides a power grid data governance method based on a business middle platform. Figure 1 It is a working flowchart of a power grid data governance method based on a business middle platform according to an embodiment of the present invention. As Figure 1 shown, the method includes the following steps:

[0067] Step S101: Obtain power grid production management data based on a power production management system. Among them, the power grid production management data includes power equipment operation status information, power dispatching management information, automation monitoring information, and fault diagnosis information.

[0068] Step S102: The business middle platform receives the power grid production management data, and transmits a priority index according to the power grid production management data and the data feature dimension transmission priority index, and obtains a first transmission priority index of the power grid production management data under the data feature dimension transmission priority index.

[0069] Step S103: Calculate a second transmission priority index of the power grid production management data under the business requirement feature dimension according to the power grid production management data.

[0070] Step S104: Calculate a third transmission priority index of the power grid production management data under the waiting duration feature dimension according to the power grid production management data.

[0071] Step S105: Calculate the information transmission priority index in the grid production management data based on the first transmission priority index, the second transmission priority index, and the third transmission priority index, and transmit the information in the order of the information transmission priority index.

[0072] In summary, the present invention obtains grid production management data based on the power production management system. The business middle platform receives the grid production management data, and according to the grid production management data and the transmission priority index of the data feature dimension, obtains the first transmission priority index of the grid production management data under the transmission priority index of the data feature dimension; calculates the second transmission priority index of the grid production management data under the business requirement feature dimension according to the grid production management data; calculates the third transmission priority index of the grid production management data under the waiting duration feature dimension according to the grid production management data; calculates the information transmission priority index in the grid production management data based on the first transmission priority index, the second transmission priority index, and the third transmission priority index, and transmits the information in the order of the information transmission priority index. The present invention can ensure the timely transmission of important data, improve the reliability and stability of the grid system, and support the refined management of the smart grid.

[0073] It should be noted that the power production management system, namely the grid PMS system, is designed specifically for the power industry. Based on advanced architectures and technologies, it comprehensively manages and optimizes the power production process. It is based on equipment management and asset management, and aims to improve the safe operation level of transmission and transformation facilities and power supply reliability, covering the whole process of production management services such as dispatching, power transmission, and substation of all levels of power companies.

[0074] In some embodiments, the transmission priority index of the data feature dimension includes urgency, real-time performance, reliability, security, and the category to which the information belongs:

[0075] Urgency means that the time when the information needs to be transmitted in the business middle platform is within a preset time. For information with high urgency requirements, the response requirements and importance of transmission are high. The urgency of the information is sorted according to the length of time when the information needs to be transmitted in the business middle platform. The shorter the time, the higher the urgency;

[0076] Real-time performance means the delay sensitivity of the information to be transmitted in the business middle platform. The real-time performance of the information is sorted according to the level of delay when the information is transmitted in the business middle platform. The lower the delay, the higher the real-time performance;

[0077] Reliability means the reliability requirement for the information to be transmitted in the business middle platform. The reliability of the information is sorted according to the size of the preset reliability requirement, where the size of the preset reliability requirement is stored in the business middle platform;

[0078] Security represents the encryption requirements for information transmission in the business middle platform. The security of information is sorted according to the number of times of information encryption in the business middle platform. The more times of information encryption, the higher the security level.

[0079] The information category to which the information belongs represents the category corresponding to the information in the power grid production management data. The categories include the power equipment operation status information category, the power dispatching management information category, the automation monitoring information category, and the fault diagnosis information category. The category priority sorting is defined as: fault diagnosis information category > power dispatching management information category > power equipment operation status information category > automation monitoring information category.

[0080] Among them, the urgency, real-time nature, reliability, security, and the information category to which the information belongs have a positive correlation with the transmission priority.

[0081] In some embodiments, obtaining the first transmission priority index of the power grid production management data under the data feature dimension transmission priority index according to the power grid production management data and the data feature dimension transmission priority index specifically includes the following process:

[0082] Define the data feature dimension transmission priority index as the set K = {k 1 、k 2 、k 3 、k 4 、k 5}, and define the set D = {d m}, which represents the set of files in the power grid production management data that need to perform information transmission tasks within a preset time. d m represents the information to be transmitted, m = 1, 2... M, and M represents the number of files in the power grid production management data;

[0083] Use f(m, n) to represent the importance degree of d m under the data feature dimension transmission priority index k n :

[0084] f(m, n) = d m (k n ), n = 1, 2, 3, 4, 5;

[0085] Among them, d m (k n ) ∈ {1, 2, 3,..., S n}, S n represents that d m has S n different requirements for the data feature dimension transmission priority index k n ; if d m has the lowest requirement for the data feature dimension transmission priority index k n , then dm (k n ) = 1. If d m has the highest requirement for the data feature dimension transmission priority index k n , then d m (k n ) = S n ;

[0086] To calculate the importance degree of d m under the data feature dimension transmission priority index k n , define the importance degree matrix I n of the nth data feature dimension transmission priority index k n :

[0087]

[0088] Among them, represents the importance degree of d i compared with d n under the data feature dimension transmission priority index k i . Among them, the values of i and j are 1, 2... M, and are calculated according to the following formula:

[0089]

[0090] Among them, the value of N is 5;

[0091] Sum the importance degree matrices I n of each data feature dimension transmission priority index to obtain the comprehensive importance degree matrix C ij :

[0092]

[0093] Sum the row vectors of the matrix C ij to obtain the priority b m of d i under all data feature dimension transmission priority indexes:

[0094]

[0095] Map b i to the interval [X, 1] through the interval mapping function to obtain the first transmission priority index LYZ of the power grid production management data under the data feature dimension transmission priority index:

[0096]

[0097] Among them, the value of X is 0.2, and the value of b i min is the value of b iThe minimum value in, b i The value of max is b i The maximum value in.

[0098] In some embodiments, calculating the second transmission priority index of grid production management data in the dimension of business demand characteristics based on the grid production management data specifically includes the following process:

[0099] Obtain the search frequency of each category of information in the grid production management data and the timeliness of each category of information, where the timeliness is the time interval from the generation of each category of information to its transmission by the business middleware. The shorter the time interval, the higher the timeliness;

[0100] Calculate the sum of the search frequency and the timeliness, and record the sum as the second transmission priority index of the grid production management data in the dimension of business demand characteristics.

[0101] In some embodiments, calculating the third transmission priority index of grid production management data in the dimension of waiting duration characteristics based on the grid production management data specifically includes the following process:

[0102] Calculate the time interval T from when the grid production management data enters the waiting queue to the current moment;

[0103] Based on the normalization formula, calculate the third transmission priority index LSZ of the grid production management data in the dimension of waiting duration characteristics:

[0104]

[0105] Among them, the value of X is 0.2, Tmax represents the longest waiting time interval in the waiting queue, and Tmin represents the shortest waiting time interval in the waiting queue.

[0106] In some embodiments, calculating the information transmission priority index of the grid production management data based on the first transmission priority index, the second transmission priority index, and the third transmission priority index, and transmitting information based on the size order of the information transmission priority index specifically includes the following process:

[0107] Substitute the first transmission priority index, the second transmission priority index, and the third transmission priority index into the correlation formula to calculate the information transmission priority index LMS of the grid production management data. The correlation formula is as follows:

[0108]

[0109] Among them, LEZ is the second transmission priority index, and α, β, and μ are weight coefficients with sizes of 0.3, 0.4, and 0.3 respectively;

[0110] Transmit information based on the order of the information transmission priority index.

[0111] The present invention also provides a power grid data governance system based on a business middle platform. Figure 2 It is a system block diagram of a power grid data governance system based on a business middle platform according to an embodiment of the present invention. As Figure 2 shown, the system includes a data acquisition module, a business middle platform, and an information transmission priority index calculation module;

[0112] The data acquisition module is used to acquire power grid production management data based on a power production management system. Among them, the power grid production management data includes power equipment operation status information, power dispatching management information, automation monitoring information, and fault diagnosis information.

[0113] The business middle platform is used to receive the power grid production management data, and obtain the first transmission priority index of the power grid production management data under the transmission priority index of the data feature dimension according to the power grid production management data and the transmission priority index of the data feature dimension.

[0114] Calculate the second transmission priority index of the power grid production management data under the dimension of business requirement characteristics according to the power grid production management data.

[0115] Calculate the third transmission priority index of the power grid production management data under the dimension of waiting duration characteristics according to the power grid production management data.

[0116] The information transmission priority index calculation module is used to calculate the information transmission priority index in the power grid production management data based on the first transmission priority index, the second transmission priority index, and the third transmission priority index, and transmit information based on the order of the information transmission priority index.

[0117] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, or magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0118] Those of ordinary skill in the art will realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0119] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0120] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only for some logical function divisions, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0121] The unit described as a separating component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0122] As mentioned above, the above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A power grid data governance method based on a business middle station, characterized in that: Applied to a power generation management system, the power generation management system is connected to a business middle station through communication, and the method includes: Acquire power grid production management data based on the power production management system, where the power grid production management data includes power equipment operation status information, power dispatch management information, automation monitoring information, and fault diagnosis information; The business middle station receives the power grid production management data, and obtains the first transmission priority index of the power grid production management data under the transmission priority index of the data feature dimension according to the power grid production management data and the data feature dimension transmission priority index; Calculate the second transmission priority index of the power grid production management data under the business demand feature dimension according to the power grid production management data; The third transmission priority index of the power grid production management data under the waiting time feature dimension is calculated according to the power grid production management data; The information transmission priority index in the power grid production management data is calculated based on the first transmission priority index, the second transmission priority index and the third transmission priority index, and the information is transmitted in order based on the size of the information transmission priority index.

2. According to a power grid data management method based on a business middle station according to claim 1, it is characterized in that: The data feature dimension transmission priority indicators include urgency, real-time, reliability, security and information category: Urgency means that the information needs to be transmitted in the business center within the preset time. Information with high urgency requirements has high response requirements and importance for transmission. The urgency of information is ranked according to the length of time it needs to be transmitted in the business center. The shorter the time, the higher the urgency. Real-time performance indicates the sensitivity of information to the delay in transmission in the business center. The real-time performance of information is ranked according to the delay in transmission in the business center. The lower the delay, the higher the real-time performance. Reliability represents the reliability requirement of information transmission in the business center. The reliability of information is sorted according to the preset reliability requirement size, wherein the preset reliability requirement size is stored in the business center; Security refers to the encryption requirements for information transmission in the business center. The security of information is ranked according to the number of times the information is encrypted in the business center. The more times the information is encrypted, the higher the security. The category to which the information belongs indicates the category corresponding to the information in the power grid production management data, and the categories include power equipment operation status information category, power dispatching management information category, automation monitoring information category, and fault diagnosis information category. The priority order of the categories is defined as follows: fault diagnosis information category > power dispatching management information category > power equipment operation status information category > automation monitoring information category; Among them, urgency, real-time, reliability, security, information category and transmission priority are positively correlated.

3. According to a power grid data management method based on a business middle station according to claim 2, it is characterized in that: According to the power grid production management data and the data feature dimension transmission priority index, obtaining the first transmission priority index of the power grid production management data under the data feature dimension transmission priority index specifically includes the following process: The data feature dimension transmission priority index is defined as set K = {k1, k2, k3, k4, k5}, and set D = {d m }, indicating the file set in the power grid production management data that needs to perform information transmission tasks within the preset time, d m Indicates the information to be transmitted, m = 1, 2...M, M indicates the number of files in the power grid production management data; Let f(m,n) represent d m Transmit priority index k in the data feature dimension n The following are of importance: f(m,n)=d m (k n ),n=1、2、3、4、5; Among them, d m (k n )∈{1, 2, 3, ..., S n },S n Indicates d m For the data feature dimension transmission priority index k n Yes n Different requirements; if d m For the data feature dimension transmission priority index k n The requirement is the lowest, then d m (k n )=1, if d m For the data feature dimension transmission priority index k n The requirement is the highest, then d m (k n )=S n ; To calculate d m Transmit priority index k in the data feature dimension n The importance of the nth data feature dimension is defined as the transmission priority index k n The importance matrix I n : in, Indicates d i Transmit priority index k in the data feature dimension n Down and d i The relative importance, where the values ​​of i, j are 1, 2...M, is calculated according to the following formula: Among them, the value of N is 5; Importance matrix I for transmission priority index of each data feature dimension n Add and get the comprehensive importance matrix C ij : For the matrix C ij Sum the row vectors of m Priority b under all data feature dimension transmission priority indicators i : Through the interval mapping function, b i Mapped to the interval [X, 1], the first transmission priority index LYZ of the power grid production management data under the data feature dimension transmission priority index is obtained: Among them, the value of X is 0.2, b i The minimum value is b i The minimum value in b i The value of max is b i The maximum value in .

4. According to a power grid data management method based on a business middle station according to claim 1, it is characterized in that: The second transmission priority index of the power grid production management data under the business demand feature dimension is calculated based on the power grid production management data. The process includes: Obtain the search frequency and timeliness of each category of information in the power grid production management data, where timeliness refers to the time interval from the generation of each category of information to its transmission by the business middle station. The shorter the time interval, the higher the timeliness. The sum of the search frequency and the timeliness is calculated, and the sum is recorded as the second transmission priority index of the power grid production management data under the business demand feature dimension.

5. According to a power grid data management method based on a business middle station according to claim 1, it is characterized in that: Calculating the third transmission priority index of the power grid production management data under the waiting time feature dimension according to the power grid production management data specifically includes the following process: Calculate the time interval T from when the power grid production management data enters the waiting queue to the current moment; The third transmission priority index LSZ of power grid production management data under the waiting time feature dimension is calculated based on the normalized formula: Among them, the value of X is 0.2, Tmax represents the longest waiting time interval in the waiting queue, and Tmin represents the shortest waiting time interval in the waiting queue.

6. According to a power grid data management method based on a business middle station according to claim 1, it is characterized in that: The information transmission priority index in the power grid production management data is calculated based on the first transmission priority index, the second transmission priority index and the third transmission priority index, and the information is transmitted in the order of the information transmission priority index. The process includes: Substituting the first transmission priority index, the second transmission priority index and the third transmission priority index into the association formula, the information transmission priority index LMS in the power grid production management data is calculated, and the association formula is as follows: Among them, LEZ is the second transmission priority index, α, β, and μ are weight coefficients, which are 0.3, 0.4, and 0.3 respectively; The information is transmitted in order based on the information transmission priority index.

7. A power grid data management system based on a business middle station, characterized in that: A power grid data governance method based on a business middle station applicable to any one of claims 1 to 6, the system comprising a data acquisition module, a business middle station and an information transmission priority index calculation module; A data acquisition module is used to acquire power grid production management data based on the power production management system, wherein the power grid production management data includes power equipment operation status information, power dispatch management information, automation monitoring information, and fault diagnosis information; The business middle station is used to receive the power grid production management data, and obtain the first transmission priority index of the power grid production management data under the transmission priority index of the data feature dimension according to the power grid production management data and the data feature dimension transmission priority index; Calculate the second transmission priority index of the power grid production management data under the business demand feature dimension according to the power grid production management data; The third transmission priority index of the power grid production management data under the waiting time feature dimension is calculated according to the power grid production management data; The information transmission priority index calculation module is used to calculate the information transmission priority index in the power grid production management data based on the first transmission priority index, the second transmission priority index and the third transmission priority index, and transmit information in order based on the size of the information transmission priority index.

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