A method, system, device and storage medium for evaluating the operation safety of power grid equipment

Abstract

The present invention belongs to the technical field of quantitative evaluation of power grid equipment safety, and specifically discloses a method, system, device and storage medium for evaluating the operation safety of power grid equipment. The method includes: determining an evaluation indicator characteristic value corresponding to an evaluation indicator and a baseline characteristic value corresponding to a baseline value; determining a target evaluation indicator characteristic value corresponding to a target evaluation indicator and a test result characteristic value corresponding to a test value; drawing an evaluation indicator coordinate system based on the evaluation indicator characteristic value, the baseline characteristic value, the target evaluation indicator characteristic value and the test result characteristic value, and determining the test score corresponding to each target evaluation indicator based on the evaluation indicator coordinate system; determining the evaluation result of the target power grid equipment based on the test score corresponding to the target evaluation indicator and the preset weight corresponding to each target evaluation indicator. The present invention can use multiple evaluation indicators to accurately evaluate the safety performance of power grid equipment. It solves the problem of inaccurate quantitative evaluation of power grid equipment safety in the prior art.

Description

Technical Field

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

[0002] Quantitative assessment of power grid equipment security is a key research area in the field of power grid systems. It involves scientifically analyzing and evaluating the stability and reliability of power grid systems. With the large-scale integration of renewable energy and the increasing complexity of power grid systems, traditional security assessment methods are facing challenges. Therefore, more advanced technologies and methods are needed to improve the accuracy and efficiency of assessments.

[0003] Establishing a safety evaluation index system is the foundation of quantitative assessment. This requires determining a series of indicators that reflect the system's safety status based on the characteristics and safety requirements of the power grid system. Weightings are calculated because the importance of evaluation indicators may vary, so a specific method is needed to determine the weight of each indicator. Summary of the Invention

[0004] In response to 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 power grid equipment safety 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 evaluation indicators of a power grid equipment test and production environment and benchmark values ​​corresponding to the evaluation indicators, and determine, based on the evaluation indicators and the benchmark values, evaluation indicator characteristic values ​​corresponding to the evaluation indicators and benchmark characteristic values ​​corresponding to the benchmark values;

[0007] The evaluation indicators include at least one;

[0008] S2. Obtain a target evaluation index of the 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;

[0009] S3. Draw an evaluation indicator coordinate system based on 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 based on 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 tolerance 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, obtain an overall evaluation result that is both accurate and robust, and is suitable for various application scenarios.

[0013] (2) The present invention solves the problem that traditional security assessment methods and technologies only focus on the indicators of the power grid equipment itself and ignore the multi-faceted characteristics of the power grid equipment, or are too subjective and lack consistency when selecting and weighing different assessment 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] Furthermore, 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 a target evaluation indicator characteristic value corresponding to the data storage encryption according to the type of algorithm 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. Determine 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 indicator characteristic value corresponding to the integrity check according to the integrity check algorithm type;

[0020] S25. Determine a target evaluation indicator 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 security indicators of power grid equipment can be covered, ensuring that the evaluation indicators can more comprehensively and truly reflect the security performance of power grid equipment.

[0024] Furthermore, in step S3, 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:

[0025] S31. Determine a benchmark evaluation index point based on the evaluation index characteristic value and the benchmark characteristic value;

[0026] S32. Determine the test result index point based on 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 a 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 positional 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 based on the test score value and the test score symbol.

[0032] Furthermore, 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 effects of the above further scheme are: based on the preset weights, the diversity and complexity of power grid equipment, as well as the reliability of power grid equipment can be taken into account, and the importance of each indicator can be determined 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, a power grid equipment operation safety assessment system is provided, comprising:

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

[0036] The evaluation indicators include at least one;

[0037] Obtaining a target evaluation index of the 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, based on the target evaluation index and the test value;

[0038] The eigenvalue analysis module is used to draw an evaluation indicator coordinate system based on 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 based on 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, an electronic device is provided, 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 according to the first aspect.

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

[0043] Figure 1 The figure shows 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] The exemplary embodiments of the present invention will now 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 merely exemplary and are intended to illustrate 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, wherein the evaluation indicators include at least one.

[0048] Exemplarily, the 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 the safety value of 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 for the production environment of power grid equipment testing 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 the target evaluation index of the target power grid equipment and the test value corresponding to the target evaluation index, and determine the target evaluation index characteristic value corresponding to the target evaluation index and the 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 obtained 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 a target evaluation indicator characteristic value corresponding to the data storage encryption according to the type of algorithm 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. Determine 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 indicator characteristic value corresponding to the integrity check according to the integrity check algorithm type;

[0059] S25. Determine a target evaluation indicator 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 example, determining the characteristic value of the target evaluation indicator for data storage encryption can be as follows: obtaining the algorithm used by the test grid equipment for data storage encryption and determining whether the algorithm meets national, international, or domestic standards. The data storage encryption benchmark algorithm uses SM4, which translates to an characteristic value of 10.

[0064] The process for determining the characteristic value of the target evaluation indicator corresponding to data transmission encryption can be as follows: obtaining the algorithm used by the test power grid equipment for data transmission encryption and determining whether the algorithm is a national cryptographic standard, an international cryptographic standard, or a self-developed algorithm. The data storage encryption benchmark algorithm used by the test power grid equipment is AES, which translates to an 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 indicators, international indicators, or self-developed algorithms, and obtaining the characteristic value according to the algorithm indicator.

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

[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 coverage range with the benchmark log format.

[0069] The process of determining the characteristic value of the target evaluation indicator 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 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 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 based on 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 based on the evaluation indicator coordinate system.

[0072] In step S3 of this embodiment, an evaluation indicator coordinate system is drawn based on 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. Determine a benchmark evaluation index point based on the evaluation index characteristic value and the benchmark characteristic value;

[0074] S32. Determine the test result index point based on 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 a 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 positional 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 based on the test score value and the test score symbol.

[0080] like Figure 2 As shown, Figure 2 The following is a schematic diagram of the evaluation indicator coordinate system. The blue coordinate points are the baseline evaluation indicator points, the red coordinate points are the test result indicator points, and each pair of blue and red coordinate points that are relatively close to each other are the baseline evaluation indicator points and test result indicator points corresponding to the same evaluation indicator.

[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 device operational security, accounting for the largest proportion (its weight can be set to 2). Integrity verification (IC), entity authentication (EA), fault tolerance (FT), and data storage encryption (SE) ensure basic device operation, and they also have a relatively large weight (its weight can be set to 1.5). Device log storage (LS) and log format (LF) have a smaller impact on device operational security but have a significant impact on overall security and incident investigation. Compared to the other five indicators, their weight is relatively small (its 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 relatively safe 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 value, 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 numerical value of the evaluation result is 10, indicating that the target power grid equipment is higher than the benchmark level.

[0088] Optionally, the safer test score values ​​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 grid device can be calculated as -2*1.5*2+(-2)*1*2=(-10). A negative sign of the evaluation result indicates that the target grid device is unsafe, and a numerical value of 10 indicates that the target grid device is below the baseline 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. 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 the 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, based on the target evaluation index and the test value;

[0093] The eigenvalue analysis module is used to draw an evaluation indicator coordinate system based on 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 based on 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 that can be executed 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 embodiment.

[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, which implements the method according to the above embodiments when executed by a processor.

[0098] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. Such program code 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 when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0099] In the context of the present invention, machine-readable medium can be a tangible medium that can contain or store a program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD ROM), optical storage devices, magnetic storage devices, 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 can 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 having 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 can 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 server are generally remote from each other and typically interact via a communication network. The client-server relationship arises through computer programs running on the respective computers and having a client-server relationship with each other. The server may be a cloud server, a server in a distributed system, or a server integrated 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 it should be understood that the scope of protection of the present invention is not limited to such specific descriptions and embodiments. Those skilled in the art can make various other specific variations and combinations based on the technical teachings disclosed in the present invention without departing from the essence of the present invention, and such variations and combinations are still within the scope of protection 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 production environment and a reference value corresponding to the evaluation index, and determining, based on the evaluation index and the reference value, an evaluation index characteristic value corresponding to the evaluation index and a reference characteristic value corresponding to the reference value; S2. Obtain a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determine, based on the target evaluation index and the test value, a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to 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 target evaluation indicator according to the evaluation indicator coordinate system, specifically comprising the following sub-steps: 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, drawing the evaluation index coordinate system according to the benchmark evaluation index point and the test result index point; S34, determining a 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; S35, determining the test score symbol corresponding to each of the target evaluation indicators according to the relative positional 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, determining the test score according to the test score value and the test score sign; S4. Determine an evaluation result of the target power grid device according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each target evaluation indicator; 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.

2. The method according to claim 1, 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 indicator 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. Determine, according to the number of authentication modes for the entity authentication, a target evaluation indicator characteristic value corresponding to the entity authentication; S24. Determine, according to the integrity check algorithm type, a target evaluation indicator 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, based on 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.

3. The method according to claim 1, characterized in that 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.

4. A power grid equipment operation safety assessment system, characterized in that: The system comprises: A characteristic value acquisition module is used to obtain evaluation indicators of the power grid equipment test production environment and reference values ​​corresponding to the evaluation indicators, and determine, based on the evaluation indicators and the reference values, the evaluation indicator characteristic values ​​corresponding to the evaluation indicators and the reference characteristic values ​​corresponding to the reference values; Obtaining a target evaluation index of a target power grid device and a test value corresponding to the target evaluation index, and determining, based on the target evaluation index and the test value, a target evaluation index characteristic value corresponding to the target evaluation index and a test result characteristic value corresponding to the test value; The eigenvalue analysis module is used to draw an evaluation indicator coordinate system based on the evaluation indicator eigenvalue, the baseline eigenvalue, the target evaluation indicator eigenvalue, and the test result eigenvalue, and determine the test score corresponding to each target evaluation indicator based on the evaluation indicator coordinate system, specifically comprising the following sub-steps: 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, drawing the evaluation index coordinate system according to the benchmark evaluation index point and the test result index point; S34, determining a 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; S35, determining the test score symbol corresponding to each of the target evaluation indicators according to the relative positional 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, determining the test score according to the test score value and the test score sign; A result calculation module is used to determine the evaluation result of the target power grid device according to the test score corresponding to the target evaluation indicator and the preset weight corresponding to each target evaluation indicator; 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.

5. 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 to enable the at least one processor to execute the method according to any one of claims 1 to 3.

6. 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 to 3.

7. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 3.

Images