Method and system for monitoring and evaluating state of digital GIS (Gas Insulated Switchgear) equipment

Abstract

The invention discloses a digital GIS equipment state monitoring and evaluation method and system, and relates to the technical field of intelligent monitoring, and the method comprises the following steps: carrying out the hardware decomposition of GIS equipment, obtaining the structural characteristics of the sub-hardware of the GIS equipment, and building a historical sample set; establishing an initial intelligent control model, training the initial intelligent control model according to the historical sample set, and determining a terminal intelligent control model; the data information is analyzed through the terminal intelligent control model, and the GIS equipment is adjusted based on an analysis result; and establishing an evaluation model, and evaluating an analysis result. According to the method, the target GIS equipment is determined and decomposed to obtain the structural features of the target GIS equipment, the target environment and sub-hardware installation sensors are monitored to obtain real-time information, the evaluation model is built, and the real-time environment and state information is input to obtain the evaluation result, so that the accuracy and reliability of equipment state monitoring and evaluation are improved, the equipment failure rate is effectively reduced, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring technology, and in particular to a method and system for monitoring and evaluating the status of digital GIS equipment. Background Art

[0002] With the development of modern industry, GIS equipment is increasingly used in fields such as electricity, and its stable operation is crucial to production and life. However, traditional equipment monitoring and evaluation methods have many limitations, such as a single monitoring method, failure to detect potential problems in a timely manner, and inaccurate evaluation. In this context, a more advanced, comprehensive, and intelligent method is needed to effectively monitor and evaluate the status of GIS equipment to adapt to the increasingly complex application environment and higher reliability requirements. At the same time, the continuous development of information technology and intelligent technology has also provided technical support for the emergence of this advanced method, prompting the emergence and development of digital GIS equipment status monitoring and evaluation methods and systems to make up for the shortcomings of existing technologies and ensure the safe and efficient operation of GIS equipment.

[0003] At the current stage, there are technical problems in the comprehensive monitoring, accurate evaluation, intelligent decision-making and effective integration and utilization of information of GIS equipment. Summary of the invention

[0004] In view of the problems existing in the existing digital GIS equipment status monitoring and evaluation system, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is that the monitoring method is single, potential problems cannot be discovered in time, and the evaluation is inaccurate.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a method for monitoring and evaluating the status of a digital GIS device, which comprises the following steps:

[0008] Decompose the GIS equipment into hardware, obtain the structural characteristics of the sub-hardware of the GIS equipment, and establish a historical sample set;

[0009] Establish an initial intelligent control model, train the initial intelligent control model based on the historical sample set, and determine the terminal intelligent control model;

[0010] Analyze data information through terminal intelligent control model and adjust GIS equipment based on the analysis results;

[0011] Establish and build an evaluation model to evaluate the analysis results.

[0012] As a preferred solution of the digital GIS equipment status monitoring and evaluation method of the present invention, wherein: the sub-hardware includes a circuit breaker, a disconnector, a mutual inductor, and a busbar;

[0013] The structural characteristics of the sub-hardware include: the location coordinates of the sub-hardware, the working status of the sub-hardware, and the environmental information of the sub-hardware.

[0014] As a preferred solution of the digital GIS equipment status monitoring and evaluation method of the present invention, the method of obtaining the position coordinates of the sub-hardware includes:

[0015] Use a 3D scanner to scan the target GIS equipment and its internal sub-hardware to obtain the relative distance of the sub-hardware;

[0016] Set up three-dimensional coordinate values ​​and select any sub-hardware as the origin of the three-dimensional coordinate values;

[0017] Find the second sub-hardware closest to the origin of the three-dimensional coordinate value, and establish the coordinate value according to the location;

[0018] Establish the coordinate value of the third sub-hardware in the same way, and determine whether the distance between the coordinate value of the third sub-hardware and the coordinate value of the second sub-hardware is the same as the actual distance. If they are the same, establish the coordinate value of the fourth sub-hardware in the same way until all are established. If they are not the same, re-establish the coordinate value of the third sub-hardware.

[0019] Methods for obtaining the working status of sub-hardware include:

[0020] A monitoring sensor is set on the sub-hardware to detect the operating status and working parameters of the sub-hardware in real time through the monitoring sensor, and the detected working status is stored;

[0021] Methods for obtaining sub-hardware environment information include:

[0022] A detection distance value X is established, and a radiation zone with a radius of X is established for each sub-hardware with itself as the center. The first environmental monitor is established in the area with the most intersections in the radiation zone, and the sub-hardware associated with the first environmental monitor is removed. The second environmental monitor is established in the remaining area with the most intersections in the radiation zone, and the sub-hardware associated with the second environmental monitor is removed. This step is repeated until the established environmental monitor is associated with all sub-hardware.

[0023] As a preferred solution of the digital GIS equipment status monitoring and evaluation method of the present invention, wherein: the historical sample set collects the working status of the sub-hardware obtained by the monitoring sensor, and also collects the environmental information of the sub-hardware obtained by the environmental monitor;

[0024] The initial intelligent control model training method includes:

[0025] Dividing the historical sample set to determine a plurality of sample groups;

[0026] Convergence verification of the initial intelligent control model is performed through a sample group;

[0027] Set the first upper precision limit and the second upper precision limit until the convergence verification satisfies the first upper precision limit and the second upper precision limit;

[0028] Obtain terminal intelligent control model;

[0029] Wherein, the convergence verification includes self-verification and cross-validation, the self-validation satisfies the first upper limit of accuracy, and the cross-validation satisfies the second upper limit of accuracy;

[0030] The self-verification method is specifically as follows: making a decision or prediction for each data of the sample group, comparing the decision or prediction result with the actual normal result, and evaluating the accuracy and reliability of the initial intelligent control model;

[0031] The cross-validation method is specifically as follows: further dividing the sample group into multiple subsets, training the initial intelligent control model and performing training and validation on different subset combinations in turn, and evaluating the adaptability of the initial intelligent control model under different data distributions and scenarios.

[0032] As a preferred solution of the digital GIS equipment status monitoring and evaluation method of the present invention, the first upper limit of accuracy and the second upper limit of accuracy are set in the same manner, and the specific steps include:

[0033] Set the initial values ​​of the first precision upper limit and the second precision upper limit, and set the accuracy rate threshold;

[0034] Determine whether the accuracy rate threshold is reached through the convergence verification of the initial values ​​of the first upper precision limit and the second upper precision limit;

[0035] When it is reached, the first upper limit of precision and the second upper limit of precision are determined. When it is not reached, the initial values ​​of the first upper limit of precision and the second upper limit of precision are adjusted according to the difference between the actual precision and the precision threshold until the actual precision meets the precision threshold.

[0036] As a preferred solution of the digital GIS equipment status monitoring and evaluation method of the present invention, the method of analyzing data information through the terminal intelligent control model includes:

[0037] Determine the working status of the sub-hardware and the environmental information of the sub-hardware, and input them into the terminal intelligent control model to obtain the impact information of the sub-hardware;

[0038] Adjust the operation of sub-hardware by using the obtained impact information;

[0039] The impact information specifically refers to the impact value of the environment information of the sub-hardware on the working state of the sub-hardware.

[0040] As a preferred solution of the digital GIS equipment status monitoring and evaluation method of the present invention, wherein: the evaluation model includes a startup evaluation channel and an operation evaluation channel;

[0041] The step of starting the evaluation channel includes:

[0042] Set filtering conditions and query instructions to filter the retrieved data information;

[0043] Cluster the filtered data information to obtain startup-related data;

[0044] Verify whether the startup-related data is complete, and transmit the complete startup-related data through the startup assessment channel;

[0045] The steps of running the evaluation channel include:

[0046] Receive the startup related data transmitted by the startup evaluation channel, evaluate the startup related data, and classify the evaluation results.

[0047] In a second aspect, an embodiment of the present invention provides a digital GIS equipment status monitoring and evaluation system, which includes a collection module, a training module, an analysis module, and an evaluation module;

[0048] The acquisition module is used to obtain the structural characteristics of the sub-hardware of the GIS equipment and collect the obtained data information into a historical sample set;

[0049] The training module is used to train the initial intelligent control model and finally obtain the terminal intelligent control model;

[0050] The analysis module is used to analyze data information through the terminal intelligent control model and obtain impact information;

[0051] The evaluation module is used to analyze the adjusted GIS equipment and obtain the optimization effect.

[0052] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, it implements any step of the above-mentioned digital GIS equipment status monitoring and evaluation method.

[0053] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned digital GIS equipment status monitoring and evaluation method is implemented.

[0054] The beneficial effects of the present invention are as follows: determining the target GIS equipment and decomposing it to obtain its structural characteristics, installing sensors on the target environment and sub-hardware to monitor and obtain real-time information, building and training an initial intelligent control model, inputting real-time information to obtain impact information and adjusting the real-time status information of sub-hardware information, building an evaluation model, inputting real-time environment and status information to obtain evaluation results, thereby improving the accuracy and reliability of equipment status monitoring and evaluation, effectively reducing equipment failure rate, reducing maintenance costs, and at the same time improving the technical effects of equipment operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0056] Figure 1 This is a flow chart of the digital GIS equipment condition monitoring and evaluation method.

[0057] Figure 2 Schematic diagram of the sub-hardware radiation area of ​​the digital GIS equipment status monitoring and evaluation method.

[0058] Figure 3 Schematic diagram of the first environmental monitor installation for the digital GIS equipment condition monitoring and assessment method.

[0059] Figure 4 Schematic diagram of the installation of the second environmental monitor for the digital GIS equipment condition monitoring and assessment method.

[0060] Figure 5 Schematic diagram of the installation of all environmental monitors for the digital GIS equipment condition monitoring and assessment method. DETAILED DESCRIPTION

[0061] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0062] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0063] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0064] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0065] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0066] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0067] Example 1

[0068] Reference Figure 1 to Figure 5 , which is the first embodiment of the present invention, and provides a method for monitoring and evaluating the status of digital GIS equipment, comprising the following steps:

[0069] S1. Decompose the GIS device into hardware, obtain the structural characteristics of the sub-hardware of the GIS device, and establish a historical sample set.

[0070] The sub-hardware includes a circuit breaker, a disconnector, a mutual inductor, and a busbar;

[0071] The structural characteristics of the sub-hardware include: the location coordinates of the sub-hardware, the working status of the sub-hardware, and the environmental information of the sub-hardware;

[0072] When collecting the structural characteristics of the sub-hardware of GIS equipment, determine the target GIS device and disassemble the various components of the target GIS device into independent sub-hardware. During the decomposition process, ensure that each sub-hardware is accurately identified and recorded. Based on the decomposed hardware, deeply analyze and extract the structural characteristics of the target GIS device.

[0073] Methods for obtaining the position coordinates of sub-hardware include:

[0074] Use a 3D scanner to scan the target GIS equipment and its internal sub-hardware to obtain the relative distance of the sub-hardware;

[0075] Set up three-dimensional coordinate values ​​and select any sub-hardware as the origin of the three-dimensional coordinate values;

[0076] Find the second sub-hardware closest to the origin of the three-dimensional coordinate value, and establish the coordinate value according to the location;

[0077] Establish the coordinate value of the third sub-hardware in the same way, and determine whether the distance between the coordinate value of the third sub-hardware and the coordinate value of the second sub-hardware is the same as the actual distance. If they are the same, establish the coordinate value of the fourth sub-hardware in the same way until all are established. If they are not the same, re-establish the coordinate value of the third sub-hardware.

[0078] Methods for obtaining the working status of sub-hardware include:

[0079] A monitoring sensor is set on the sub-hardware to detect the operating status and working parameters of the sub-hardware in real time through the monitoring sensor, and the detected working status is stored;

[0080] Methods for obtaining sub-hardware environment information include:

[0081] Set up a detection distance value X, and establish a radiation zone with a radius of X for each sub-hardware with itself as the center. Set up the first environmental monitor in the area with the most intersections in the radiation zone, and remove the sub-hardware associated with the first environmental monitor. Set up the second environmental monitor in the remaining area with the most intersections in the radiation zone, and remove the sub-hardware associated with the second environmental monitor. Repeat this step until the established environmental monitor is associated with all sub-hardware.

[0082] When installing an environmental monitor, if the radiation area of ​​the environmental monitor is 2m, the detection distance value X is 2m. Each sub-hardware establishes a radiation area with a radius of 2m with itself as the center, that is, Figure 2As shown, the dotted line represents the radiation zone. The first environmental monitor is set up in the area with the most intersections of the radiation zone, which means that the first environmental monitor can detect more sub-hardware. Figure 3 As shown, the sub-hardware associated with the first environmental monitor is removed, and the remaining sub-hardware is judged to establish a second environmental monitor, and the location is set as Figure 4 As shown, and removing the sub-hardware associated with the second environmental monitor, all environmental monitors are established in the same way, that is, Figure 5 As shown, the dotted line represents the monitoring range of the environmental monitor.

[0083] S2. Establish an initial intelligent control model, train the initial intelligent control model according to the historical sample set, and determine the terminal intelligent control model.

[0084] The historical sample set collects the working status of the sub-hardware obtained by the monitoring sensor, and also collects the environmental information of the sub-hardware obtained by the environmental monitor;

[0085] The initial intelligent control model training method includes:

[0086] Dividing the historical sample set to determine a plurality of sample groups;

[0087] Convergence verification of the initial intelligent control model is performed through a sample group;

[0088] Set the first upper precision limit and the second upper precision limit until the convergence verification satisfies the first upper precision limit and the second upper precision limit;

[0089] Obtain terminal intelligent control model;

[0090] Wherein, the convergence verification includes self-verification and cross-validation, the self-validation satisfies the first upper limit of accuracy, and the cross-validation satisfies the second upper limit of accuracy;

[0091] The self-verification method is specifically as follows: making a decision or prediction for each data of the sample group, comparing the decision or prediction result with the actual normal result, and evaluating the accuracy and reliability of the initial intelligent control model;

[0092] During the self-validation process, observe the module's performance on different samples to check for deviations or anomalies. By repeating this process, you can gain a deeper understanding of the module's own performance and limitations.

[0093] The cross-validation method is specifically as follows: further dividing the sample group into multiple subsets, training the initial intelligent control model and performing training and validation on different subset combinations in turn, and evaluating the adaptability of the initial intelligent control model under different data distributions and scenarios;

[0094] Specifically, one subset is used as a validation set, while the other subsets are used for training. After training, the module makes decisions or predictions on the validation set and compares and analyzes them with the actual results. Then, different subset combinations are replaced and repeated to obtain a wider range of validation data. During the entire cross-validation process, the division and combination of subsets should be arranged reasonably to ensure the comprehensiveness and objectivity of the validation. At the same time, the optimal parameters and configurations are found through the performance changes under different cross-validation conditions. Through the synergy of self-validation and cross-validation, the convergence and performance of the initial intelligent control model of the training can be more accurately evaluated.

[0095] Conduct a comprehensive analysis and evaluation of the historical sample sets obtained, carefully study the characteristics, distribution, and interrelationships of the data in the sample sets, and start the division operation according to specific rules and standards. According to different dimensions, such as time sequence, data type, application scenario, etc., divide the historical sample sets into several relatively independent parts. In the division process, ensure that each sample group has a certain degree of representativeness and uniqueness, and can reflect specific situations or characteristics. Pay attention to maintaining the balance between sample groups to avoid some sample groups being too large or too small, which will affect subsequent analysis and processing. Use random division, stratified division and other methods to determine the sample groups. Random division can increase the diversity and randomness of the sample groups, and stratified division can better take into account the differences between different levels or categories. As the division proceeds, multiple sample groups are eventually determined.

[0096] The method for setting the first upper precision limit and the second upper precision limit is the same, and the specific steps include:

[0097] Set the initial values ​​of the first precision upper limit and the second precision upper limit, and set the accuracy rate threshold;

[0098] Determine whether the accuracy rate threshold is reached through the convergence verification of the initial values ​​of the first upper precision limit and the second upper precision limit;

[0099] When it is reached, the first upper limit of precision and the second upper limit of precision are determined; when it is not reached, the initial values ​​of the first upper limit of precision and the second upper limit of precision are adjusted according to the difference between the actual precision and the precision threshold until the actual precision meets the precision threshold;

[0100] Continuously conduct self-verification, continuously apply the trained initial intelligent control model to the sample group data, accurately compare the decision results with the actual situation to determine the decision accuracy, until it reaches the first upper limit of accuracy, and carry out cross-validation at the same time, analyze the decision accuracy on different subset combinations. When the accuracy meets the second upper limit of accuracy and the self-verification accuracy is also up to standard, the terminal intelligent control model can be obtained, which has sufficient capabilities and stability in all aspects and can play a precise and efficient intelligent control role in practical applications.

[0101] S3. Analyze data information through the terminal intelligent control model and adjust the GIS equipment based on the analysis results.

[0102] The methods for analyzing data information through the terminal intelligent control model include:

[0103] Determine the working status of the sub-hardware and the environmental information of the sub-hardware, and input them into the terminal intelligent control model to obtain the impact information of the sub-hardware;

[0104] Adjust the operation of sub-hardware by using the obtained impact information;

[0105] The impact information specifically refers to the impact value of the sub-hardware's environment information on the sub-hardware's working state;

[0106] For example, for the environmental information of temperature, if the current temperature is T1, and according to the characteristics and requirements of the equipment, the suitable temperature range for its normal operation is [Tmin, Tmax], the terminal intelligent control model calculates the specific impact of temperature on hardware performance, including the relationship between temperature and various hardware parameters and the corresponding impact coefficient. The impact information reflects the interaction between the environment and hardware and the potential problems that may be caused. Based on the acquired impact information, the real-time hardware information is adjusted in a targeted manner. For example, if the impact information shows that excessive temperature may have an adverse effect on the hardware, the operating parameters of the hardware will be adjusted or corresponding cooling measures will be taken, and finally the real-time status information of the target GIS equipment will be accurately obtained. The real-time status information includes the adjusted hardware operation status and its mutual adaptation to the environment, which can provide an important basis for further monitoring, control and decision-making;

[0107] Adjust the real-time sub-hardware information based on the impact information to obtain the real-time status information of the target GIS equipment. Specifically, enter the data preprocessing stage, perform data cleaning for the acquired real-time environmental information and real-time hardware information, remove noise, outliers and duplicate data to ensure the accuracy and reliability of the data, standardize or normalize the data to make the data of different dimensions have comparable scales, convert the data format to a form that can be better processed by the intelligent control module, obtain high-quality processed data through the preprocessing steps, and transmit the data;

[0108] The real-time hardware information is adjusted based on the impact information to obtain the real-time status information of the target GIS device, specifically including: understanding the acquired impact information, which clearly points out the specific direction and degree of impact that the environment and processing data may have on the real-time hardware information. Based on this impact information, a targeted adjustment strategy is formulated. For example, if the impact information shows that excessive temperature will affect hardware performance, then it is necessary to adjust the heat dissipation mechanism or operating parameters of the relevant hardware, etc., and accurately apply the adjustment strategy to the real-time hardware information. Through interaction with the hardware system, specific adjustment operations on hardware parameters, operating modes, etc. are implemented. During the adjustment process, the feedback and changes of the hardware must be closely monitored to ensure the effectiveness and accuracy of the adjustment. As the adjustment proceeds, the real-time hardware information will change accordingly. Combined with factors such as real-time environmental information, the real-time status information of the target GIS device at this time can be fully and accurately obtained. The real-time status information includes many aspects such as the operating status of the adjusted hardware and the degree of adaptability to the environment.

[0109] S4. Establish an evaluation model and evaluate the analysis results.

[0110] The evaluation model includes starting an evaluation channel and operating an evaluation channel;

[0111] The step of starting the evaluation channel includes:

[0112] Set filtering conditions and query instructions to filter the retrieved data information;

[0113] Cluster the filtered data information to obtain startup-related data;

[0114] Select appropriate clustering algorithms, determined according to the characteristics and needs of the data, and gradually divide the data into different clusters based on the similarities or differences between the data. Continuously adjust and optimize the cluster division method. As clustering proceeds, different categories are gradually formed. Through further analysis and screening of these categories, the startup-related data includes the system initial state and startup condition information;

[0115] Verify whether the startup-related data is complete, and transmit the complete startup-related data through the startup assessment channel;

[0116] The steps of running the evaluation channel include:

[0117] Receive the startup related data transmitted by the startup evaluation channel, evaluate the startup related data, and classify the evaluation results.

[0118] In summary, this method determines the target GIS equipment and decomposes it to obtain its structural characteristics, installs sensors to monitor the target environment and sub-hardware to obtain real-time information, builds and trains the initial intelligent control model, inputs real-time information to obtain impact information and adjusts the real-time status information of the sub-hardware information, builds an evaluation model, inputs real-time environment and status information to obtain evaluation results, improves the accuracy and reliability of equipment status monitoring and evaluation, effectively reduces equipment failure rate, reduces maintenance costs, and at the same time improves the technical effect of equipment operation efficiency.

[0119] Example 2

[0120] Based on the first embodiment, this embodiment further provides a digital GIS equipment status monitoring and evaluation system, including a collection module, a training module, an analysis module, and an evaluation module;

[0121] The acquisition module is used to obtain the structural characteristics of the sub-hardware of the GIS equipment and collect the obtained data information into a historical sample set;

[0122] The training module is used to train the initial intelligent control model and finally obtain the terminal intelligent control model;

[0123] The analysis module is used to analyze data information through the terminal intelligent control model and obtain impact information;

[0124] The evaluation module is used to analyze the adjusted GIS equipment and obtain the optimization effect.

[0125] This embodiment also provides a computer device suitable for the digital GIS equipment status monitoring and evaluation method, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the digital GIS equipment status monitoring and evaluation method proposed in the above embodiment.

[0126] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0127] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for monitoring and evaluating the status of digital GIS equipment proposed in the above embodiment is implemented.

[0128] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0129] Example 3

[0130] On the basis of the previous two embodiments, this embodiment provides a digital GIS equipment status monitoring and evaluation method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0131] Simulation experiment steps: Determine the key parameters of GIS equipment, including sub-hardware type, environmental parameters, and working status indicators. According to the structure and operating environment of GIS equipment, build a simulation model, including hardware decomposition, sensor layout, and environmental monitoring.

[0132] Existing technology: Regular manual inspection;

[0133] Experimental indicators describe The effect of this method Existing technology effects Prediction accuracy Accuracy of prediction of GIS equipment status ≥95％ 85％ Fault detection speed The time from the occurrence of an abnormality to the detection of a fault ≤5 minutes 15 minutes Adaptability Ability to respond and adjust to environmental changes ≤10 minutes 30 minutes

[0134] As can be seen from the table, the prediction accuracy of the terminal intelligent control model is further improved, the accuracy of the numerical values ​​is guaranteed, and faults are detected more quickly, reducing the occurrence of accidents. When the environment changes, the output adjustment method can be more quickly.

[0135] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A digital GIS equipment status monitoring and evaluation method, characterized by: The following steps are included: Decompose the GIS equipment into hardware, obtain the structural characteristics of the sub-hardware of the GIS equipment, and establish a historical sample set; Establish an initial intelligent control model, train the initial intelligent control model based on the historical sample set, and determine the terminal intelligent control model; Analyze data information through terminal intelligent control model and adjust GIS equipment based on the analysis results; Establish and build an evaluation model to evaluate the analysis results.

2. The digital GIS equipment status monitoring and evaluation method according to claim 1, characterized in that: The sub-hardware includes a circuit breaker, a disconnector, a mutual inductor, and a busbar; The structural characteristics of the sub-hardware include: the location coordinates of the sub-hardware, the working status of the sub-hardware, and the environmental information of the sub-hardware.

3. The digital GIS equipment status monitoring and evaluation method according to claim 2, characterized in that: Methods for obtaining the position coordinates of sub-hardware include: Use a 3D scanner to scan the target GIS equipment and its internal sub-hardware to obtain the relative distance of the sub-hardware; Set up three-dimensional coordinate values ​​and select any sub-hardware as the origin of the three-dimensional coordinate values; Find the second sub-hardware closest to the origin of the three-dimensional coordinate value, and establish the coordinate value according to the location; Establish the coordinate value of the third sub-hardware in the same way, and determine whether the distance between the coordinate value of the third sub-hardware and the coordinate value of the second sub-hardware is the same as the actual distance. If they are the same, establish the coordinate value of the fourth sub-hardware in the same way until all are established. If they are not the same, re-establish the coordinate value of the third sub-hardware. Methods for obtaining the working status of sub-hardware include: A monitoring sensor is set on the sub-hardware to detect the operating status and working parameters of the sub-hardware in real time through the monitoring sensor, and the detected working status is stored; Methods for obtaining sub-hardware environment information include: A detection distance value X is established, and a radiation zone with a radius of X is established for each sub-hardware with itself as the center. The first environmental monitor is established in the area with the most intersections in the radiation zone, and the sub-hardware associated with the first environmental monitor is removed. The second environmental monitor is established in the remaining area with the most intersections in the radiation zone, and the sub-hardware associated with the second environmental monitor is removed. This step is repeated until the established environmental monitor is associated with all sub-hardware.

4. The method for monitoring and evaluating the state of digital GIS equipment according to claim 3, characterized in that: The historical sample set collects the working status of the sub-hardware obtained by the monitoring sensor, and also collects the environmental information of the sub-hardware obtained by the environmental monitor; The initial intelligent control model training method includes: Dividing the historical sample set to determine a plurality of sample groups; Convergence verification of the initial intelligent control model is performed through a sample group; Set the first upper precision limit and the second upper precision limit until the convergence verification satisfies the first upper precision limit and the second upper precision limit; Obtain terminal intelligent control model; Wherein, the convergence verification includes self-verification and cross-validation, the self-validation satisfies the first upper limit of accuracy, and the cross-validation satisfies the second upper limit of accuracy; The self-verification method is specifically as follows: making a decision or prediction for each data of the sample group, comparing the decision or prediction result with the actual normal result, and evaluating the accuracy and reliability of the initial intelligent control model; The cross-validation method is specifically as follows: further dividing the sample group into multiple subsets, training the initial intelligent control model and performing training and validation on different subset combinations in turn, and evaluating the adaptability of the initial intelligent control model under different data distributions and scenarios.

5. The method for monitoring and evaluating the state of digital GIS equipment according to claim 4, characterized in that: The method for setting the first upper precision limit and the second upper precision limit is the same, and the specific steps include: Set the initial values ​​of the first precision upper limit and the second precision upper limit, and set the accuracy rate threshold; Determine whether the accuracy rate threshold is reached through the convergence verification of the initial values ​​of the first upper precision limit and the second upper precision limit; When it is reached, the first upper limit of precision and the second upper limit of precision are determined. When it is not reached, the initial values ​​of the first upper limit of precision and the second upper limit of precision are adjusted according to the difference between the actual precision and the precision threshold until the actual precision meets the precision threshold.

6. The method for monitoring and evaluating the state of digital GIS equipment according to claim 5, characterized in that: The methods for analyzing data information through the terminal intelligent control model include: Determine the working status of the sub-hardware and the environmental information of the sub-hardware, and input them into the terminal intelligent control model to obtain the impact information of the sub-hardware; Adjust the operation of sub-hardware by using the obtained impact information; The impact information specifically refers to the impact value of the environment information of the sub-hardware on the working state of the sub-hardware.

7. The method for monitoring and evaluating the state of digital GIS equipment according to claim 6, characterized in that: The evaluation model includes starting an evaluation channel and operating an evaluation channel; The step of starting the evaluation channel includes: Set filtering conditions and query instructions to filter the retrieved data information; Cluster the filtered data information to obtain startup-related data; Verify whether the startup-related data is complete, and transmit the complete startup-related data through the startup assessment channel; The steps of running the evaluation channel include: Receive the startup related data transmitted by the startup evaluation channel, evaluate the startup related data, and classify the evaluation results.

8. A digital GIS equipment status monitoring and evaluation system, based on the digital GIS equipment status monitoring and evaluation method according to any one of claims 1 to 7, characterized in that: It includes acquisition module, training module, analysis module, and evaluation module; The acquisition module is used to obtain the structural characteristics of the sub-hardware of the GIS equipment and collect the obtained data information into a historical sample set; The training module is used to train the initial intelligent control model and finally obtain the terminal intelligent control model; The analysis module is used to analyze data information through the terminal intelligent control model and obtain impact information; The evaluation module is used to analyze the adjusted GIS equipment and obtain the optimization effect.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the digital GIS equipment status monitoring and evaluation method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the digital GIS equipment status monitoring and evaluation method described in any one of claims 1 to 7 are implemented.

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