Substation equipment state evaluation method and system

Abstract

The invention discloses a substation equipment state evaluation method and system. The method comprises the following steps: S101, acquiring a historical operation state data set of substation equipment; s102, extracting local data features of the substation equipment in each operation state and overall data features of the substation equipment in each operation state from the historical operation state data set, and constructing a state feature library; s103, real-time operation parameters of the transformer substation equipment are collected, operation characteristics of the transformer substation equipment are obtained, and the operation characteristics comprise real-time overall data characteristics and real-time local data characteristics of the transformer substation equipment; and S104, based on the operation characteristics of the substation equipment and the state characteristic library, generating a substation equipment operation state report. According to the method, the operation characteristics of the substation equipment in various states are extracted based on the historical data, the operation state of the current substation equipment is evaluated according to the operation characteristics, the accuracy of the evaluation result is high, and the method has important significance for reducing the fault rate of the substation equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of substation equipment operation and maintenance, and for example, to a substation equipment status assessment method and system. Background Art

[0002] With the development of society, the scale of power grids continues to expand. At the same time, the number of equipment put into the power grid has increased, which has also increased the inspection, maintenance and repair workload of operation and maintenance personnel. In addition, the operation and maintenance of equipment are often carried out after the fact, which is a passive and inefficient maintenance method. Collecting the operating parameters of substation equipment and evaluating the working status of substation equipment is a key technical task to improve the management and operation and maintenance level of substations.

[0003] In the prior art, the operating parameters of substation equipment are calculated through models such as support vector machines and neural networks to predict the working status of substation equipment with high accuracy, but the interpretability of this method is not high. Alternatively, the prior art collects various operating indicators of substation equipment for scoring, calculates a health value by weighting each score, and judges the status of substation equipment according to the size of the health value. However, this type of method requires a high level of equipment operation and maintenance experience in determining which indicators to use and the size of the weight values ​​to assign. Summary of the invention

[0004] To solve the above problems, the purpose of the present invention is to provide a substation equipment status assessment method and system, so as to evaluate the operating status of substation equipment and guide the operation and maintenance work through a more comprehensive status assessment report.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: In a first aspect, the present invention provides a method for assessing the status of a substation equipment, comprising the following steps: Step S101: Acquire a historical operating status data set of the substation equipment. Step S102: Extract local data features of the substation equipment in each operating state and overall data features of the substation equipment in each operating state from the historical operating status data set to construct a status feature library. Step S103: Collect real-time operating parameters of the substation equipment to obtain operating features of the substation equipment, the operating features including real-time overall data features and real-time local data features of the substation equipment. Step S104: Generate an operating status report of the substation equipment based on the operating features of the substation equipment and the status feature library.

[0006] Furthermore, the substation equipment is a primary equipment, and the historical operation status data set includes fault records, alarm records, defect and hidden danger records in inspection data, and corresponding substation historical operation parameter data.

[0007] Furthermore, the historical operation status data set of the power station equipment is stored in separate databases and tables, a database is established for each equipment type, and a corresponding data table is established in each database for the historical operation parameters of each operation status of the equipment type.

[0008] Furthermore, the state feature library includes a local feature library and an overall feature library. The local feature library is used to store local data features of substation equipment in various operating states, and the local feature library is constructed based on the operating state data of each category indicator of the substation equipment in various operating states. The overall feature library is used to store overall data features of substation equipment in various operating states, and the overall feature library is constructed based on the operating state data of each category indicator of the substation equipment in various operating states after data fusion.

[0009] Furthermore, the category indicators include transformer load index, transformer temperature index, transformer oil chromatography index, transformer discharge index, transformer insulation index, circuit breaker discharge index, circuit breaker insulation index, transformer oil chromatography index, transformer partial discharge index, disconnector temperature index, and operating environment index, and the operating environment index includes ambient temperature and humidity.

[0010] Furthermore, the local feature library is constructed based on the operating status data of each category indicator of the substation equipment under each operating state, specifically as follows: Step S1021: traverse each operating state, and obtain the operating status data under each category indicator under the operating state. Step S1022: Perform statistical analysis on the operating status data under each category indicator to obtain the local data features under the operating state; the local data features include: minimum value, maximum value, average value, standard deviation, kurtosis and skewness. Step S1023: Use each operating state and the local data features corresponding to the operating state to construct a local feature library.

[0011] Furthermore, the overall feature library is constructed based on the operating status data of each category indicator under each operating state after data fusion of the substation equipment, specifically as follows: Step S1031: traverse each operating state, and obtain the operating status data under each category indicator under the operating state. Step S1032: Time-align the operating status data under each category indicator and construct a state data matrix. Step S1033: Use convolution calculation to extract features from the state data matrix to obtain the overall data features under the operating state. Step S1034: Use each operating state and the overall data features corresponding to the operating state to construct an overall feature library.

[0012] Further, the substation equipment operation status report is generated based on the operation characteristics and status feature library of the substation equipment, specifically as follows: Step S1041: Calculate the overall similarity between the real-time overall data characteristics and the overall characteristics under each operation state in the overall feature library. Step S1042: Calculate the local similarity between the real-time local data characteristics and the local characteristics under each category indicator under each operation state in the local feature library. Step S1044: Determine the substation equipment status according to the overall similarity and the local similarity. Step S1044: Generate the substation equipment operation status report according to the determined substation equipment status, the overall similarity under the equipment status, and the local similarity of each category indicator under the equipment status.

[0013] In another aspect, the present invention provides a substation equipment status assessment system, comprising the following functional modules: Historical data collection module: obtains the historical operation status data set of substation equipment. Feature library construction module: extracts the local data features of substation equipment in various operation states and the overall data features of substation equipment in various operation states from the historical operation status data set to construct a status feature library. Real-time feature extraction module: collects the real-time operation parameters of substation equipment and obtains the operation features of substation equipment, which include the real-time overall data features and real-time local data features of substation equipment. Status report generation module: generates a substation equipment operation status report based on the operation features of substation equipment and the status feature library.

[0014] Furthermore, the feature library construction module includes a local feature library construction unit and an overall feature library construction unit. The local feature library construction unit: constructs the local feature library based on the operating status data of each category indicator of the substation equipment under each operating state. The overall feature library construction unit: constructs the overall feature library based on the operating status data of each category indicator of the substation equipment under each operating state after data fusion.

[0015] Furthermore, the status report generation module includes a similarity calculation unit, a status determination unit and a report generation unit. Similarity calculation unit: calculates the overall similarity between the real-time overall data features and the overall features under each operating state in the overall feature library. Calculates the local similarity between the real-time local data features and the local features under each category indicator under each operating state in the local feature library. Status determination unit: determines the status of the substation equipment according to the overall similarity and the local similarity. Report generation unit: generates a substation equipment operation status report according to the determined substation equipment status, the overall similarity under the equipment status, and the local similarity of each category indicator under the equipment status.

[0016] The present invention has achieved the following beneficial effects: the present invention extracts local data features and overall data features of each substation equipment in multiple states based on historical data, and evaluates the operating status of the current substation equipment accordingly. The evaluation results are highly accurate and explanatory, and the generated status report information is more comprehensive and more targeted, which is of great significance for reducing the failure rate of substation equipment and alleviating the workload of operation and maintenance personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and should not be regarded as limiting the scope.

[0018] Figure 1 is a flow chart of a method for evaluating the status of substation equipment of the present invention; Figure 2 It is a flow chart of constructing a local feature library of the present invention; Figure 3 It is a flow chart of constructing an overall feature library of the present invention; Figure 4 is a flow chart of generating a substation equipment operation status report of the present invention; Figure 5 It is a functional module schematic diagram of a substation equipment status assessment system of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0020] It should be noted that the user information (including but not limited to electricity customer profile information, etc.) and data (including but not limited to electricity behavior data used for analysis, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0021] See also Figure 1 As shown in the flowchart, the present invention provides a method for evaluating the status of substation equipment, comprising the following steps: Step S101: Acquire a historical operating status data set of substation equipment.

[0022] The substation is an important part of the power system, which is mainly responsible for the conversion and distribution of electric energy. The equipment of the substation is mainly divided into primary equipment and secondary equipment. The primary equipment mainly includes transformers, circuit breakers, disconnectors, and mutual inductors. The substation equipment described in the present invention is primary equipment. The primary equipment directly bears the power load and power transmission. Therefore, the operating status of the primary equipment is directly related to the reliability of the substation and the power system. In addition, the primary equipment is more susceptible to power failures and overloads, and is more prone to failures. Therefore, monitoring and evaluating the operating status of the primary equipment has a higher practical significance for improving the safety of the power system.

[0023] The historical operation status data set of the present invention includes fault records, alarm records, defect and hidden danger records in inspection data, and corresponding substation historical operation parameter data. The corresponding substation historical operation parameter data refers to, for example, when an early warning occurs, the substation operation parameter data collected at the time of the early warning or a period of time before the early warning. The data collection source of the historical operation status data set is the database of the substation operation management system, inspection records, maintenance records, etc.

[0024] The historical operating status data set of power station equipment is stored in separate databases and tables. A database is established for each equipment type, and a corresponding data table is established in each database for the historical operating parameters of each operating state of the equipment type. For example, in the transformer database, status tables such as equipment warning table, equipment failure table, equipment hidden danger table, and equipment normal table are established. In the equipment warning table of the transformer database, the load parameters, partial discharge parameters, and transformer oil chromatographic parameters of the transformer are recorded at each warning. By storing the historical operating status data set of power station equipment in separate databases and tables, the efficiency of data query and feature extraction calculation is improved.

[0025] Step S102: extracting local data features of substation equipment in various operating states and overall data features of substation equipment in various operating states from the historical operating state data set, and constructing a state feature library.

[0026] Usually, if the data of each category indicator of the substation equipment are running normally, then the substation equipment as a whole is also running normally. If the substation equipment as a whole runs normally, but the data of a certain category indicator is not running very stably, the equipment should be paid special attention to and the maintenance plan should be arranged in advance. The state feature library constructed by the present invention includes a local feature library and an overall feature library, which evaluates the operation status of the substation equipment from two dimensions: the overall operation status and the operation status of each indicator. It not only pays attention to the overall operation status of the substation equipment, but also evaluates various indicators of the substation equipment, so that the evaluation results obtained can more comprehensively reflect the working status of the substation equipment. The local feature library is used to store the local data features of the substation equipment in various operating states, and the local feature library is constructed based on the operating status data of each category indicator of the substation equipment in each operating state. According to actual needs, the operating state can be divided into normal, early warning, abnormal, fault, etc. Or, further, the operating state can be further divided, for example, the early warning is divided into a first-level early warning, a second-level early warning, etc. The overall feature library is used to store the overall data features of the substation equipment in various operating states, and the overall feature library is constructed based on the operating status data of each category indicator of the substation equipment in each operating state after data fusion.

[0027] Based on the historical operating status data set, category indicators are selected through correlation analysis. Correlation analysis methods include mutual information, correlation coefficient, chi-square test, etc. In some embodiments of the present invention, the category indicators screened out through correlation analysis are further screened based on experience, so that each category indicator screened out can reflect the operating status information of the substation equipment. In some embodiments of the present invention, the category indicators include transformer load index, transformer temperature index, transformer oil chromatography index, transformer discharge index, transformer insulation index, circuit breaker discharge index, circuit breaker insulation index, transformer oil chromatography index, transformer partial discharge index, disconnector temperature index, operating environment index, and the operating environment index includes ambient temperature and humidity.

[0028] Step S103: Collect the real-time operating parameters of the substation equipment and obtain the operating characteristics of the substation equipment, which include the real-time overall data characteristics and real-time local data characteristics of the substation equipment. The real-time operating parameters of the substation equipment are derived from the online monitoring data of the substation equipment, and the operating status data of the substation equipment under various categories of indicators in real-time work are collected. The real-time operating parameters of the substation equipment are analyzed to evaluate the current status of the substation equipment.

[0029] Step S104: Generate a substation equipment operation status report based on the operation characteristics and status characteristic library of the substation equipment. The operation status report includes the overall operation status of each substation equipment and the operation status of each indicator, and evaluates the equipment operation status from both overall and local dimensions. Preferably, if the substation equipment or indicator is abnormal, it can also include historical operation status data corresponding to the overall characteristics and / or local characteristics with high similarity.

[0030] As a preferred embodiment of the present invention, the local feature library is constructed based on the operating status data of each category indicator of the substation equipment under each operating state, such as Figure 2 The flow chart is shown as follows: Step S1021: traverse each operating state and obtain the operating state data under each category indicator in the operating state. Preferably, traverse each sub-library and each sub-table storing the historical operating state data set to query and obtain the corresponding operating state data.

[0031] Step S1022: Statistical analysis is performed on the operating status data under each category indicator to obtain local data features under the operating status. The local data features include: minimum value, maximum value, average value, standard deviation, kurtosis and skewness. Minimum value, maximum value and average value are three basic statistics that describe the trend and dispersion degree in the operating status data. Standard deviation, kurtosis and skewness are statistics that describe the distribution characteristics of the operating status data, which respectively describe the dispersion degree of the data, the sharpness of the distribution form and the symmetry.

[0032] Step S1023: construct a local feature library using each operating state and the local data features corresponding to the operating state.

[0033] As a preferred embodiment of the present invention, the overall feature library is constructed based on the operating status data of the substation equipment under various operating states and various category indicators after data fusion, such as Figure 3 The flow chart is shown as follows: Step S1031: traverse each operating state, and obtain the operating state data under each category indicator in the operating state.

[0034] Step S1032: Time-align the running status data under each category indicator and construct a status data matrix. Align the running status data on a time scale according to the timestamp or acquisition time of the running status data. After time alignment, organize the running status data under each category indicator into a data matrix for convolution calculation.

[0035] Step S1033: Use convolution calculation to extract features from the state data matrix to obtain the overall data features under the operating state. Of course, other feature extraction methods can also be used, such as principal component analysis. One advantage of the convolution operation is that it is translation invariant, that is, the translation of the input data will result in the same translation of the output data, which is very suitable for extracting overall, translation invariant features in the data. In actual operation, the convolution calculation can be optimized in many ways, such as using the fast Fourier transform (FFT) algorithm to reduce the amount of calculation.

[0036] Step S1034: construct an overall feature library using each operating state and the overall data features corresponding to the operating state.

[0037] As a preferred embodiment of the present invention, the substation equipment operation status report is generated based on the operation characteristics and status characteristic library of the substation equipment, such as Figure 4 The flow chart is shown as follows: Step S1041: Calculate the overall similarity between the real-time overall data features and the overall features in each operating state in the overall feature library.

[0038] Step S1042: Calculate the local similarity between the real-time local data features and the local features under each category index in each operating state in the local feature library.

[0039] Preferably, the overall similarity and the local similarity can be calculated using Frobenius norm, cosine similarity, Euclidean distance, etc.

[0040] Step S1044: Determine the state of the substation equipment according to the overall similarity and the local similarity. If the state corresponding to the overall similarity is normal, and the state corresponding to the local similarity is also normal, then it can be determined that the operating state of the substation equipment is normal. If the state corresponding to the overall similarity is normal, but the state of a certain category indicator is a warning, it can be determined that the operating state of the substation equipment is normal and / or a warning. And according to these two states, execute step S1044. By evaluating multiple operating states, the generated substation equipment operating state report information is more comprehensive, which can improve the accuracy of state evaluation.

[0041] Step S1044: Generate a substation equipment operation status report according to the determined substation equipment status, the overall similarity of the equipment status, and the local similarity of each category indicator of the equipment status.

[0042] If the substation equipment or indicators are abnormal, the historical operation status data corresponding to the overall characteristics and / or local characteristics with high similarity can be obtained by querying the historical operation status data set, and the above-mentioned historical operation status data can be attached to the substation equipment operation status report as supporting evidence and explanatory materials for status evaluation. This will enable operation and maintenance personnel to more clearly understand the basis for the evaluation status of the substation equipment, and can also play a role in assisting decision-making in the development of operation and maintenance work.

[0043] In addition, the present invention also provides a substation equipment status assessment system, see Figure 5 The functional module diagram shown includes the following functional modules: Historical data collection module: obtains the historical operation status data set of substation equipment. Feature library construction module: extracts the local data features of substation equipment in various operation states and the overall data features of substation equipment in various operation states from the historical operation status data set to construct a status feature library. Real-time feature extraction module: collects the real-time operation parameters of substation equipment and obtains the operation features of substation equipment, which include the real-time overall data features and real-time local data features of substation equipment. Status report generation module: generates a substation equipment operation status report based on the operation features of substation equipment and the status feature library.

[0044] Furthermore, the feature library construction module includes a local feature library construction unit and an overall feature library construction unit. The local feature library construction unit: constructs the local feature library based on the operating status data of each category indicator of the substation equipment under each operating state. The overall feature library construction unit: constructs the overall feature library based on the operating status data of each category indicator of the substation equipment under each operating state after data fusion.

[0045] Furthermore, the status report generation module includes a similarity calculation unit, a status determination unit and a report generation unit. Similarity calculation unit: calculates the overall similarity between the real-time overall data features and the overall features under each operating state in the overall feature library. Calculates the local similarity between the real-time local data features and the local features under each category indicator under each operating state in the local feature library. Status determination unit: determines the status of the substation equipment according to the overall similarity and the local similarity. Report generation unit: generates a substation equipment operation status report according to the determined substation equipment status, the overall similarity under the equipment status, and the local similarity of each category indicator under the equipment status.

[0046] It should be pointed out that, according to the needs of implementation, the various components / steps described in the embodiments of the present application can be split into more components / steps, or two or more components / steps or partial operations of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of the present application.

[0047] The above-mentioned method according to the embodiment of the present application can be implemented in hardware, firmware, or implemented as software or computer code that can be stored in a recording medium (such as a CD ROM, RAM, floppy disk, hard disk or magneto-optical disk), or implemented as a computer code originally stored in a remote recording medium or a non-temporary machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the device described herein can be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor or programmable or dedicated hardware (such as an ASIC or FPGA). It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by a computer, a processor or hardware, the device described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the device shown here, the execution of the code converts the general-purpose computer into a dedicated computer for executing the device shown here.

[0048] Those of ordinary skill in the art will appreciate that the units and device steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different devices to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present application.

[0049] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a part of the module, program segment or code includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

[0050] The above implementation methods are only used to illustrate the embodiments of the present application, and are not limitations on the embodiments of the present application. Ordinary technicians in the relevant technical field can make various changes and modifications without departing from the spirit and scope of the embodiments of the present application. Therefore, all equivalent technical solutions also belong to the scope of the embodiments of the present application. The scope of patent protection of the embodiments of the present application should be limited by the claims.

Claims

1. A method for evaluating the status of substation equipment, characterized in that: The following steps are involved: Step S101: Acquire a historical operating status data set of substation equipment; Step S102: extracting local data features of substation equipment in various operating states and overall data features of substation equipment in various operating states from the historical operating state data set, and constructing a state feature library; Step S103: collecting real-time operating parameters of the substation equipment and obtaining operating characteristics of the substation equipment, wherein the operating characteristics include real-time overall data characteristics and real-time local data characteristics of the substation equipment; Step S104: Generate a substation equipment operation status report based on the operation characteristics and status characteristic library of the substation equipment.

2. A method for evaluating the status of substation equipment according to claim 1, characterized in that: The substation equipment is a primary equipment; the historical operation status data set includes fault records, alarm records, defect and hidden danger records in inspection data, and corresponding substation historical operation parameter data.

3. A method for evaluating the status of substation equipment according to claim 2, characterized in that: The historical operation status data set of the power station equipment is stored in separate databases and tables. A database is established for each equipment type, and a corresponding data table is established in each database for the historical operation parameters of each operation status of the equipment type.

4. A method for evaluating the status of substation equipment according to claim 3, characterized in that: The state feature library includes a local feature library and an overall feature library; the local feature library is used to store local data features of substation equipment in various operating states, and the local feature library is constructed based on the operating state data of each category indicator of the substation equipment in various operating states; The overall feature library is used to store the overall data features of the substation equipment in various operating states, and is constructed based on the operating state data of the substation equipment under various category indicators after data fusion in various operating states.

5. A method for evaluating the status of substation equipment according to claim 4, characterized in that: The local feature library is constructed based on the operating status data of each category indicator of the substation equipment under each operating status, specifically: Step S1021: traverse each operating state and obtain the operating state data of each category indicator under the operating state; Step S1022: Statistically analyze the running status data under each category of indicators to obtain local data features under the running status; the local data features include: minimum value, maximum value, average value, standard deviation, kurtosis and skewness; Step S1023: construct a local feature library using each operating state and the local data features corresponding to the operating state.

6. A method for evaluating the status of substation equipment according to claim 5, characterized in that: The overall feature library is constructed based on the operating status data of each category of indicators of the substation equipment under each operating status after data fusion, specifically: Step S1031: traverse each running state and obtain the running state data of each category indicator under the running state; Step S1032: aligning the time of the operating status data under each category indicator and constructing a status data matrix; Step S1033: Use convolution calculation to perform feature extraction on the state data matrix to obtain the overall data features under the running state; Step S1034: construct an overall feature library using each operating state and the overall data features corresponding to the operating state.

7. A method for evaluating the status of substation equipment according to claim 6, characterized in that: The generating of the substation equipment operation status report based on the operation characteristics and status characteristic library of the substation equipment is specifically as follows: Step S1041: Calculate the overall similarity between the real-time overall data features and the overall features in each operating state in the overall feature library; Step S1042: Calculate the local similarity between the real-time local data features and the local features under each category index in each operating state in the local feature library; Step S1044: determining the substation equipment status according to the overall similarity and the local similarity; Step S1044: Generate a substation equipment operation status report according to the determined substation equipment status, the overall similarity of the equipment status, and the local similarity of each category indicator of the equipment status.

8. A substation equipment status assessment system, characterized in that: Includes the following functional modules: Historical data collection module: obtains historical operating status data sets of substation equipment; Feature library construction module: extracts local data features of substation equipment in various operating states and overall data features of substation equipment in various operating states from historical operating status data sets to build a state feature library; Real-time feature extraction module: collects real-time operating parameters of substation equipment and obtains operating characteristics of substation equipment, wherein the operating characteristics include real-time overall data characteristics and real-time local data characteristics of substation equipment; Status report generation module: Generates substation equipment operation status report based on the operation characteristics and status characteristic library of substation equipment.

9. A substation equipment status assessment system according to claim 8, characterized in that: The feature library construction module includes a local feature library construction unit and an overall feature library construction unit; A local feature library construction unit: constructs the local feature library based on the operating status data of each category indicator of the substation equipment under each operating status; Overall feature library construction unit: constructs the overall feature library based on the operating status data of the substation equipment under various operating states under various category indicators after data fusion.

10. A substation equipment status assessment system according to claim 9, characterized in that: The status report generation module includes a similarity calculation unit, a status determination unit and a report generation unit; Similarity calculation unit: calculates the overall similarity between the real-time overall data features and the overall features under each operating state in the overall feature library; calculates the local similarity between the real-time local data features and the local features under each category indicator under each operating state in the local feature library; State determination unit: determines the state of substation equipment according to the overall similarity and local similarity; Report generation unit: Generates a substation equipment operation status report according to the determined substation equipment status, the overall similarity of the equipment status, and the local similarity of each category indicator of the equipment status.

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