Power grid equipment operation safety assessment method, system, equipment and storage medium

Abstract

The invention belongs to the technical field of power grid equipment safety quantitative evaluation, and particularly discloses a power grid equipment operation safety evaluation method, system and device and a storage medium, and the method comprises the steps: determining an evaluation index characteristic value corresponding to an evaluation index and a reference characteristic value corresponding to a reference value; determining a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value; drawing an evaluation index coordinate system according to the evaluation index characteristic value, the reference characteristic value, the target evaluation index characteristic value and the test result characteristic value, and determining a test score corresponding to each target evaluation index according to the evaluation index coordinate system; and determining an evaluation result of the target power grid equipment according to the test score corresponding to the target evaluation index and a preset weight corresponding to each target evaluation index. According to the method, the safety performance of the power grid equipment can be accurately evaluated by using various evaluation indexes. The problem of inaccurate power grid equipment safety quantitative evaluation in the prior art is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of quantitative evaluation of power grid security, and specifically relates to a method, system, device and storage medium for evaluating the operation security of power grid equipment. Background Art

[0002] Quantitative evaluation of power grid equipment safety is an important research direction in the field of power grid systems, which involves scientific analysis and evaluation of the stability and reliability of power grid systems. With the large-scale access of new energy sources and the increasing complexity of power grid systems, traditional safety assessment methods are facing challenges, so more advanced technologies and methods are needed to improve the accuracy and efficiency of assessments.

[0003] The establishment of a safety evaluation index system is the basis for quantitative evaluation. It is necessary to determine a series of evaluation indicators that can reflect the safety status of the system according to the characteristics and safety requirements of the power grid system. The importance of evaluation indicators may be different, so a certain method is needed to determine the weight of each indicator. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method, system, device and storage medium for evaluating the operation safety of power grid equipment, which solves the problem of inaccurate quantitative evaluation of the safety of power grid equipment in the prior art.

[0005] In order to achieve the above-mentioned object of the invention, according to a first aspect of the present invention, a method for evaluating the operation safety of power grid equipment is provided, comprising the following steps:

[0006] S1. Obtain the evaluation index of the power grid equipment test and production environment and the benchmark value corresponding to the evaluation index, and determine the evaluation index characteristic value corresponding to the evaluation index and the benchmark characteristic value corresponding to the benchmark value according to the evaluation index and the benchmark value;

[0007] The evaluation indicators include at least one;

[0008] S2, obtaining a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determining a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value according to the target evaluation index and the test value;

[0009] S3. Draw an evaluation indicator coordinate system according to the evaluation indicator characteristic value, the benchmark characteristic value, the target evaluation indicator characteristic value and the test result characteristic value, and determine the test score corresponding to each target evaluation indicator according to the evaluation indicator coordinate system;

[0010] S4. Determine the evaluation result of the target power grid equipment according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each target evaluation indicator.

[0011] The beneficial effects of the above scheme are:

[0012] (1) In the present invention, more than one evaluation index is set for the test power grid equipment, including data storage encryption, data transmission encryption, entity authentication, integrity verification, log storage, log format, and the number of fault-tolerant mechanisms. Multiple evaluation indexes are set under each evaluation index, which can simultaneously consider the security and resource constraints of the test power grid equipment, and obtain an overall evaluation result that is both accurate and robust, which is suitable for various application scenarios.

[0013] (2) The present invention solves the problem that traditional safety assessment methods and technologies only focus on the indicators of the power grid equipment itself but ignore the multi-faceted characteristics of the power grid equipment, or are too subjective and lack consistency when selecting and weighing different evaluation indicators. The entire evaluation method framework of the present invention is not only highly systematic, but also has a certain degree of flexibility. It can be appropriately adjusted and customized according to different application scenarios or needs, and can evaluate the performance of power grid equipment more scientifically and accurately.

[0014] Furthermore, the target evaluation indicators include data storage encryption, data transmission encryption, entity authentication, integrity verification, device log storage, device log format and fault tolerance mechanism.

[0015] Further, in step S2, according to the target evaluation indicator, the target evaluation indicator characteristic value corresponding to the target evaluation indicator is determined, specifically including:

[0016] S21. Determine the target evaluation index characteristic value corresponding to the data storage encryption according to the algorithm type used for the data storage encryption;

[0017] S22. Determine the target evaluation index characteristic value corresponding to the data transmission encryption according to the type of algorithm used for the data transmission encryption;

[0018] S23, determining a target evaluation indicator characteristic value corresponding to the entity authentication according to the number of authentication methods of the entity authentication;

[0019] S24. Determine the target evaluation index characteristic value corresponding to the integrity check according to the integrity check algorithm type;

[0020] S25. Determine the target evaluation index characteristic value corresponding to the device log storage according to the storage time length of the device log storage;

[0021] S26. Determine a target evaluation index characteristic value corresponding to the device log format according to the log content format of the device log format;

[0022] S27. Determine the target evaluation indicator characteristic value corresponding to the fault-tolerant mechanism according to the number of fault-tolerant mechanisms.

[0023] The beneficial effect of the above further scheme is: by setting evaluation indicators including data storage encryption, data transmission encryption, entity authentication, integrity verification, equipment log storage, equipment log format and fault tolerance mechanism, the safety indicators of power grid equipment can be covered, ensuring that the evaluation indicators can more comprehensively and truly reflect the safety performance of power grid equipment.

[0024] Further, in step S3, the evaluation indicator coordinate system is drawn according to the evaluation indicator characteristic value, the benchmark characteristic value, the target evaluation indicator characteristic value and the test result characteristic value, specifically including:

[0025] S31, determining a benchmark evaluation index point according to the evaluation index characteristic value and the benchmark characteristic value;

[0026] S32, determining the test result index point according to the target evaluation index characteristic value and the test result characteristic value;

[0027] S33. Draw an evaluation index coordinate system based on the benchmark evaluation index points and the test result index points.

[0028] Furthermore, in step S3, the test score corresponding to each target evaluation indicator is determined according to the evaluation indicator coordinate system, specifically including:

[0029] S34, determining the test score value corresponding to each target evaluation indicator according to the Euclidean distance between each benchmark evaluation indicator point and the test result indicator point corresponding to each benchmark evaluation indicator point in the evaluation indicator coordinate system;

[0030] S35, determining the test score symbol corresponding to each target evaluation indicator according to the relative position relationship between each benchmark evaluation indicator point and the test result indicator point corresponding to each benchmark evaluation indicator point in the evaluation indicator coordinate system;

[0031] S36. Determine the test score according to the test score value and the test score symbol.

[0032] Further, in step S4, the preset weight corresponding to each target evaluation indicator is positively correlated with the impact of each target evaluation indicator on the operational safety of the target power grid equipment, and the sum of the preset weights corresponding to the target evaluation indicators is 10.

[0033] The beneficial effect of the above further scheme is that based on the preset weights, the diversity and complexity of power grid equipment and the reliability of power grid equipment can be taken into account, and the importance of each indicator can be determined by using the preset weights, which can handle various uncertain and messy information and ensure the robustness and reliability of the evaluation results.

[0034] According to a second aspect of the present invention, there is provided a power grid equipment operation safety assessment system, comprising:

[0035] The characteristic value acquisition module is used to obtain the evaluation index of the power grid equipment test and production environment and the benchmark value corresponding to the evaluation index, and determine the evaluation index characteristic value corresponding to the evaluation index and the benchmark characteristic value corresponding to the benchmark value according to the evaluation index and the benchmark value;

[0036] The evaluation indicators include at least one;

[0037] Obtaining a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determining a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value, respectively, according to the target evaluation index and the test value;

[0038] The eigenvalue analysis module is used to draw an evaluation indicator coordinate system according to the evaluation indicator eigenvalue, the benchmark eigenvalue, the target evaluation indicator eigenvalue and the test result eigenvalue, and determine the test score corresponding to each target evaluation indicator according to the evaluation indicator coordinate system;

[0039] The result calculation module is used to determine the evaluation result of the target power grid equipment according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each target evaluation indicator.

[0040] According to a third aspect of the present invention, there is provided an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the method of the first aspect.

[0041] According to a fourth aspect of the present invention, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method of the first aspect.

[0042] According to a fifth aspect of the present invention, there is provided a computer program product, comprising a computer program, wherein the computer program implements the method according to the first aspect when executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 Shown is a flow chart of a method for evaluating the operation safety of power grid equipment.

[0044] Figure 2 Shown is a schematic diagram of the evaluation indicator coordinate system. DETAILED DESCRIPTION

[0045] Now, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the embodiments shown and described in the accompanying drawings are only exemplary and are intended to explain the principles and spirit of the present invention, rather than to limit the scope of the present invention.

[0046] like Figure 1 As shown, a method for evaluating the operation safety of power grid equipment includes the following steps:

[0047] S1. Obtain evaluation indicators of the power grid equipment test and production environment and benchmark values ​​corresponding to the evaluation indicators, and determine evaluation indicator characteristic values ​​corresponding to the evaluation indicators and benchmark characteristic values ​​corresponding to the benchmark values ​​according to the evaluation indicators and the benchmark values, respectively, wherein the evaluation indicators include at least one.

[0048] Exemplarily, a power grid equipment test and evaluation production environment may include multiple evaluation indicators, each of which may include a corresponding benchmark value, which can also be understood as a safety value for each evaluation indicator. The safety value may be used to compare with the test value to determine the safety of the power grid equipment corresponding to the test value.

[0049] For example, the evaluation indicators of the power grid equipment testing and production environment may include data storage encryption, data transmission encryption, entity authentication, integrity verification, equipment log storage, equipment log format and fault tolerance mechanism, etc., without specific restrictions here.

[0050] S2. Obtain a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determine a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value according to the target evaluation index and the test value.

[0051] In this embodiment, the target evaluation indicators include data storage encryption, data transmission encryption, entity authentication, integrity verification, device log storage, device log format and fault tolerance mechanism.

[0052] For example, Data Storage Encryption (DSE): ensures that data is not accessed or tampered with without authorization during storage. Data Transmission Encryption (DTE): ensures that data is not acquired or tampered with without authorization during transmission. Entity Authentication (EA): specifically refers to the entity to be authenticated, which can be a user, computer program, or device. Integrity Check (IC): ensures that data is not tampered with during transmission and storage. Device Log Storage (DLS): log recording time, and the security of the storage method. Device Log Format (DLF): the log content format focuses on the key information contained. Fault Tolerance Mechanism (FTM): a control that allows or tolerates the occurrence of errors within a certain range.

[0053] Any target evaluation indicator needs to be included in the evaluation indicators of the power grid equipment test and evaluation production environment, and when any target evaluation indicator and the evaluation indicator of the power grid equipment test and evaluation production environment are the same, the target evaluation indicator characteristic value corresponding to any target evaluation indicator and the evaluation indicator characteristic value corresponding to the evaluation indicator of the power grid equipment test and evaluation production environment are also the same.

[0054] In step S2 of this embodiment, according to the target evaluation indicator, the target evaluation indicator characteristic value corresponding to the target evaluation indicator is determined, which specifically includes:

[0055] S21. Determine the target evaluation index characteristic value corresponding to the data storage encryption according to the algorithm type used for the data storage encryption;

[0056] S22. Determine the target evaluation index characteristic value corresponding to the data transmission encryption according to the type of algorithm used for the data transmission encryption;

[0057] S23, determining a target evaluation indicator characteristic value corresponding to the entity authentication according to the number of authentication methods of the entity authentication;

[0058] S24. Determine the target evaluation index characteristic value corresponding to the integrity check according to the integrity check algorithm type;

[0059] S25. Determine the target evaluation index characteristic value corresponding to the device log storage according to the storage time length of the device log storage;

[0060] S26. Determine a target evaluation index characteristic value corresponding to the device log format according to the log content format of the device log format;

[0061] S27. Determine the target evaluation indicator characteristic value corresponding to the fault-tolerant mechanism according to the number of fault-tolerant mechanisms.

[0062] For example, data storage encryption: it can determine whether the algorithm used is a national secret algorithm. Common national secret algorithms may include AES, SM4, etc. Data transmission encryption: it can determine whether the algorithm used is a national secret algorithm. Common national secret algorithms may include RSA, SM9, etc. Entity authentication: the number of authentication methods can be evaluated. Integrity verification: the type of integrity verification algorithm can be determined. Common methods include digital signatures and hash functions. Device log storage: the log recording time and the security of the storage method can be evaluated. Device log format: the log content format focuses on the key information contained. Fault-tolerance mechanism: the number of ways to deal with the system after an attack or failure is evaluated.

[0063] For another example, the process of determining the characteristic value of the target evaluation indicator corresponding to data storage encryption can be: obtaining the algorithm used by the test power grid equipment in data storage encryption, and determining whether the algorithm belongs to the national cryptographic indicator, the international cryptographic indicator, or the self-developed algorithm. The data storage encryption benchmark algorithm uses SM4, which can be converted into a characteristic value of 10.

[0064] The process of determining the characteristic value of the target evaluation indicator corresponding to data transmission encryption can be: obtaining the algorithm used by the test power grid equipment in data transmission encryption, and determining whether the algorithm belongs to the national cryptographic indicator, the international cryptographic indicator, or the self-developed algorithm. The data storage encryption benchmark algorithm used by the test power grid equipment uses AES, which can be converted into a characteristic value of 18.

[0065] The process of determining the target evaluation indicator characteristic value corresponding to the entity authentication may be: obtaining all identity authentication methods of the test power grid equipment, and determining whether the number of authentication methods and the number of identities are greater than or equal to the number of benchmark identity authentication methods.

[0066] The process of determining the characteristic value of the target evaluation indicator corresponding to the integrity check can be: obtaining the integrity check algorithm of the test power grid equipment, judging whether the algorithm indicator belongs to the category of domestic indicator, international indicator, or self-developed algorithm, and obtaining the characteristic value according to the algorithm indicator.

[0067] The process of determining the target evaluation index characteristic value corresponding to the device log storage may be: obtaining the log storage time of the test power grid device and comparing it with the reference log storage time. The reference log format may include information such as date, time, log level, code location, log content, error code, etc.

[0068] The process of determining the target evaluation index characteristic value corresponding to the device log format may be: obtaining the log format of the test power grid device, and comparing the content coverage with the benchmark log format.

[0069] The process of determining the characteristic value of the target evaluation index corresponding to the fault-tolerant mechanism may be: obtaining the number of fault-tolerant mechanisms of the test power grid equipment and comparing it with the number of benchmark fault-tolerant mechanisms.

[0070] Exemplarily, for evaluation indicator data storage encryption, the baseline characteristic value can be expressed as SE0, and the obtained test result characteristic value can be expressed as SE1. For evaluation indicator data transmission encryption, the baseline characteristic value can be expressed as TE0, and the obtained test result characteristic value can be expressed as TE1. For evaluation indicator entity authentication, the baseline characteristic value can be expressed as EA0, and the obtained test result characteristic value can be expressed as EA1. For evaluation indicator integrity verification, the baseline characteristic value can be expressed as IC0, and the obtained test result characteristic value can be expressed as IC1. For evaluation indicator device log storage, the baseline characteristic value can be expressed as LS0, and the obtained test result characteristic value can be expressed as LS1. For the evaluation indicator device log format, the baseline characteristic value can be expressed as LF0, and the obtained test result characteristic value can be expressed as LF1. For the evaluation indicator fault tolerance mechanism, the baseline characteristic value can be expressed as FT0, and the obtained test result characteristic value can be expressed as FT1.

[0071] S3. Draw an evaluation indicator coordinate system according to the evaluation indicator characteristic value, the benchmark characteristic value, the target evaluation indicator characteristic value and the test result characteristic value, and determine the test score corresponding to each target evaluation indicator according to the evaluation indicator coordinate system.

[0072] In step S3 of this embodiment, an evaluation indicator coordinate system is drawn according to the evaluation indicator characteristic value, the benchmark characteristic value, the target evaluation indicator characteristic value and the test result characteristic value, specifically including:

[0073] S31, determining a benchmark evaluation index point according to the evaluation index characteristic value and the benchmark characteristic value;

[0074] S32, determining the test result index point according to the target evaluation index characteristic value and the test result characteristic value;

[0075] S33. Draw an evaluation index coordinate system based on the benchmark evaluation index points and the test result index points.

[0076] In this embodiment, in step S3, the test score corresponding to each target evaluation indicator is determined according to the evaluation indicator coordinate system, specifically including:

[0077] S34, determining the test score value corresponding to each target evaluation indicator according to the Euclidean distance between each benchmark evaluation indicator point and the test result indicator point corresponding to each benchmark evaluation indicator point in the evaluation indicator coordinate system;

[0078] S35, determining the test score symbol corresponding to each target evaluation indicator according to the relative position relationship between each benchmark evaluation indicator point and the test result indicator point corresponding to each benchmark evaluation indicator point in the evaluation indicator coordinate system;

[0079] S36. Determine the test score according to the test score value and the test score symbol.

[0080] like Figure 2 As shown, Figure 2 It is a schematic diagram of the evaluation index coordinate system. Among them, the blue coordinate points are the benchmark evaluation index points, the red coordinate points are the test result index points, and each group of blue coordinate points and red coordinate points that are relatively close in position are the benchmark evaluation index points and test result index points corresponding to the same evaluation index.

[0081] S4. Determine the evaluation result of the target power grid equipment according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each target evaluation indicator.

[0082] In step S4 of this embodiment, the preset weight corresponding to each target evaluation indicator is positively correlated with the impact of each target evaluation indicator on the operational safety of the target power grid equipment, and the sum of the preset weights corresponding to the target evaluation indicators is 10.

[0083] Exemplarily, in step S4, the preset weight is greater than or equal to 1, and the cumulative sum of all preset weights is 10.

[0084] For example, data transmission encryption (TE) has the greatest impact on the safety of equipment operation and accounts for the largest proportion (its weight can be set to 2). Integrity verification (IC), entity authentication (EA), fault tolerance mechanism (FT), and basic equipment operation are guaranteed, and data storage encryption (SE) ensures basic data protection, and their weight accounts for a large proportion (its weight can be set to 1.5). Equipment log storage (LS) and log format (LF) have little impact on equipment operation safety, but have a significant impact on overall security assurance and accident investigation. In this indicator, they account for a small proportion compared to the other five indicators (their weight can be set to 1).

[0085] Optionally, the size of the preset weight can be adjusted according to actual conditions, and no specific numerical value is limited here.

[0086] In a specific embodiment, the safer test score values ​​corresponding to each target evaluation indicator may be: SE: 0, TE: 0, IC: 0, FT: 2, EA: 2, LF: 2, LS: 2.

[0087] Moreover, based on the above-mentioned relatively safe test score values, the final evaluation result of the target power grid equipment can be calculated as 2*1.5*2+2*1*2=10. The sign of the evaluation result is positive, indicating that the target power grid equipment is relatively safe. The value of the evaluation result is 10, indicating that the target power grid equipment is higher than the benchmark level.

[0088] Optionally, a relatively safe test score value corresponding to each target evaluation indicator may also be: SE: 0, TE: 0, IC: 0, FT: -2, EA: -2, LF: -2, LS: -2.

[0089] The final evaluation result of the target power grid equipment can be calculated as -2*1.5*2+(-2)*1*2=(-10). The sign of the evaluation result is negative, indicating that the target power grid equipment is unsafe, and the numerical value of the evaluation result is 10, indicating that the target power grid equipment is below the benchmark level.

[0090] In an exemplary embodiment, an embodiment of the present invention further provides a power grid equipment operation safety assessment system, which can be used to implement a power grid equipment operation safety assessment method as described in the above embodiment, and the system includes:

[0091] The characteristic value acquisition module is used to obtain the evaluation index of the power grid equipment test and production environment and the benchmark value corresponding to the evaluation index, and determine the evaluation index characteristic value corresponding to the evaluation index and the benchmark characteristic value corresponding to the benchmark value according to the evaluation index and the benchmark value; the evaluation index includes at least one;

[0092] Obtaining a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determining a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value, respectively, according to the target evaluation index and the test value;

[0093] The eigenvalue analysis module is used to draw an evaluation indicator coordinate system according to the evaluation indicator eigenvalue, the benchmark eigenvalue, the target evaluation indicator eigenvalue and the test result eigenvalue, and determine the test score corresponding to each target evaluation indicator according to the evaluation indicator coordinate system;

[0094] The result calculation module is used to determine the evaluation result of the target power grid equipment according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each target evaluation indicator.

[0095] In an exemplary embodiment, an electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method described in the above embodiments.

[0096] In an exemplary embodiment, the readable storage medium may be a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to execute the method according to the above embodiments.

[0097] In an exemplary embodiment, a computer program product includes a computer program, and when the computer program is executed by a processor, the method according to the above embodiments is implemented.

[0098] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0099] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0100] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0101] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0102] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0103] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A method for evaluating the operation safety of power grid equipment, characterized in that: The method comprises: S1. Obtaining an evaluation index of a power grid equipment test and production environment and a reference value corresponding to the evaluation index, and determining an evaluation index characteristic value corresponding to the evaluation index and a reference characteristic value corresponding to the reference value, respectively, according to the evaluation index and the reference value; The evaluation index includes at least one; S2, obtaining a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determining a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value according to the target evaluation index and the test value; S3, drawing an evaluation indicator coordinate system according to the evaluation indicator characteristic value, the benchmark characteristic value, the target evaluation indicator characteristic value and the test result characteristic value, and determining the test score corresponding to each of the target evaluation indicators according to the evaluation indicator coordinate system; S4. Determine the evaluation result of the target power grid equipment according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each of the target evaluation indicators.

2. The method according to claim 1, characterized in that The target evaluation indicators include data storage encryption, data transmission encryption, entity authentication, integrity verification, device log storage, device log format and fault tolerance mechanism.

3. The method according to claim 2, characterized in that In step S2, determining the target evaluation indicator characteristic value corresponding to the target evaluation indicator according to the target evaluation indicator specifically includes: S21. Determine, according to the type of algorithm used for the data storage encryption, a target evaluation index characteristic value corresponding to the data storage encryption; S22. Determine, according to the type of algorithm used for the data transmission encryption, a target evaluation index characteristic value corresponding to the data transmission encryption; S23, determining a target evaluation index characteristic value corresponding to the entity authentication according to the number of authentication methods of the entity authentication; S24. Determine, according to the type of the integrity check algorithm, a target evaluation index characteristic value corresponding to the integrity check; S25. Determine a target evaluation index characteristic value corresponding to the device log storage according to the storage time length of the device log storage; S26. Determine, according to the log content format of the device log format, a target evaluation index characteristic value corresponding to the device log format; S27. Determine the target evaluation indicator characteristic value corresponding to the fault-tolerant mechanism according to the number of the fault-tolerant mechanisms.

4. The method according to claim 1, characterized in that: In the step S3, drawing the evaluation indicator coordinate system according to the evaluation indicator characteristic value, the benchmark characteristic value, the target evaluation indicator characteristic value and the test result characteristic value specifically includes: S31, determining a benchmark evaluation index point according to the evaluation index characteristic value and the benchmark characteristic value; S32, determining a test result index point according to the target evaluation index characteristic value and the test result characteristic value; S33. Draw the evaluation index coordinate system according to the benchmark evaluation index points and the test result index points.

5. The method according to claim 4, characterized in that In step S3, determining the test score corresponding to each target evaluation indicator according to the evaluation indicator coordinate system specifically includes: S34, determining the test score value corresponding to each of the target evaluation indicators according to the Euclidean distance between each of the benchmark evaluation indicator points in the evaluation indicator coordinate system and the test result indicator point corresponding to each of the benchmark evaluation indicator points; S35, determining the test score symbol corresponding to each of the target evaluation indicators according to the relative position relationship between each of the benchmark evaluation indicator points and the test result indicator point corresponding to each of the benchmark evaluation indicator points in the evaluation indicator coordinate system; S36. Determine the test score according to the test score value and the test score sign.

6. The method according to claim 1, characterized in that In step S4, the preset weight corresponding to each of the target evaluation indicators is positively correlated with the impact of each of the target evaluation indicators on the operational safety of the target power grid equipment, and the sum of the preset weights corresponding to the target evaluation indicators is 10.

7. A power grid equipment operation safety assessment system, characterized in that: The system comprises: The characteristic value acquisition module is used to obtain the evaluation index of the power grid equipment test and production environment and the reference value corresponding to the evaluation index, and determine the evaluation index characteristic value corresponding to the evaluation index and the reference characteristic value corresponding to the reference value according to the evaluation index and the reference value; The evaluation index includes at least one; Obtain a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determine a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value, respectively, according to the target evaluation index and the test value; An eigenvalue analysis module is used to draw an evaluation indicator coordinate system according to the evaluation indicator eigenvalue, the benchmark eigenvalue, the target evaluation indicator eigenvalue and the test result eigenvalue, and determine the test score corresponding to each of the target evaluation indicators according to the evaluation indicator coordinate system; The result calculation module is used to determine the evaluation result of the target power grid equipment according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each of the target evaluation indicators.

8. An electronic device, characterized in that: include: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor executes the method described in any one of claims 1-6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to enable a computer to execute the method according to any one of claims 1-6.

10. A computer program product, characterized in that The method comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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