A method and system for monitoring and maintaining equipment in a substation

Abstract

The present invention discloses a method and system for equipment monitoring and maintenance of a substation, which is applied to the field of data processing technology. The method comprises: performing real-time monitoring on a set of substation equipment in a substation through an equipment monitoring module to obtain abnormal equipment. By analyzing the abnormal equipment, the importance of the equipment is obtained. The abnormal data set of the abnormal equipment is obtained, and the abnormal level of the abnormal data set is calculated to obtain the abnormal level of the equipment. A terminal connected to the equipment maintenance log system is used to obtain the maintenance waiting period of the abnormal equipment. A prediction is made based on the maintenance waiting period, the importance of the equipment and the abnormal level of the equipment, and a first prediction impact index is output. Based on the first prediction impact index, a state switching instruction is generated, and the operation mode of the abnormal equipment is switched by the state switching instruction. The technical problem that the equipment monitoring intelligence of the substation in the prior art is low, resulting in reduced operation stability of the substation is solved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method and system for monitoring and maintaining equipment in a substation. Background Art

[0002] A substation is a power facility that transforms voltage and regulates electric energy in a power system, and a substation is composed of multiple power equipment. In the prior art, when a single power equipment in a substation is in an abnormal condition such as maintenance or replacement, the entire substation will stop operating, resulting in reduced stability in the operation of the substation.

[0003] Therefore, in the prior art, the intelligentization of equipment monitoring in substations is low, which leads to a technical problem that the operational stability of substations is reduced. Summary of the invention

[0004] The present application solves the technical problem in the prior art that the intelligence of equipment monitoring in substations is low, resulting in reduced operational stability of substations, by providing a method and system for monitoring and maintaining equipment in substations.

[0005] The present application provides a method for monitoring and maintaining equipment in a substation, the system comprising: an abnormal equipment acquisition module, used to perform real-time monitoring of a substation equipment set in the substation through an equipment monitoring module to acquire abnormal equipment; an importance acquisition module, used to acquire equipment importance by analyzing the abnormal equipment, wherein the equipment importance is to identify the importance of the abnormal equipment in the substation equipment set; an abnormality level acquisition module, used to acquire an abnormal data set of the abnormal equipment, and perform abnormality level calculation on the abnormal data set to acquire the equipment abnormality level; a waiting period acquisition module, used to connect to a terminal of an equipment maintenance log system to acquire a maintenance waiting period of the abnormal equipment; an impact degree acquisition module, used to predict according to the maintenance waiting period, the equipment importance and the equipment abnormality level, and output a first prediction impact indicator, wherein the first prediction impact indicator is used to identify the degree of impact of the abnormal equipment on the operation of the substation during the maintenance waiting period; a mode switching module, used to generate a state switching instruction according to the first prediction impact indicator, and switch the operation mode of the abnormal equipment with the state switching instruction.

[0006] The present application also provides a substation equipment monitoring and maintenance system, the system comprising:

[0007] An abnormal device acquisition module is used to monitor the substation equipment set in the substation in real time through the equipment monitoring module to acquire abnormal devices; an importance acquisition module is used to acquire the importance of the equipment by analyzing the abnormal equipment, wherein the equipment importance is to identify the importance of the abnormal equipment in the substation equipment set; an abnormal level acquisition module is used to acquire the abnormal data set of the abnormal equipment, and calculate the abnormal level of the abnormal data set to acquire the equipment abnormality level; a waiting period acquisition module is used to connect to the terminal of the equipment maintenance log system to acquire the maintenance waiting period of the abnormal equipment; an impact degree acquisition module is used to predict according to the maintenance waiting period, the equipment importance and the equipment abnormality level, and output a first prediction impact indicator, wherein the first prediction impact indicator is used to identify the impact of the abnormal equipment on the operation of the substation during the maintenance waiting period; a mode switching module is used to generate a state switching instruction according to the first prediction impact indicator, and switch the operation mode of the abnormal equipment with the state switching instruction.

[0008] The present application also provides an electronic device, including:

[0009] A memory for storing executable instructions;

[0010] The processor is used to implement a substation equipment monitoring and maintenance method provided by the present application when executing the executable instructions stored in the memory.

[0011] The present application provides a computer-readable storage medium storing a computer program. When the program is executed by a processor, a substation equipment monitoring and maintenance method provided by the present application is implemented.

[0012] The present application proposes a method and system for monitoring and maintaining equipment of a substation, and uses an equipment monitoring module to monitor the substation equipment set in real time and obtain abnormal equipment. The equipment importance is obtained by analyzing the abnormal equipment. The abnormal data set of the abnormal equipment is obtained, and the abnormal level of the abnormal data set is calculated to obtain the abnormal level of the equipment. The terminal connected to the equipment maintenance log system is used to obtain the maintenance waiting period of the abnormal equipment. According to the maintenance waiting period, the importance of the equipment and the abnormal level of the equipment, a prediction is made, and a first prediction impact index is output. According to the first prediction impact index, a state switching instruction is generated, and the operation mode of the abnormal equipment is switched with the state switching instruction. Thereby, an accurate assessment of the impact degree of the abnormal equipment is achieved, and the corresponding operation mode is adjusted, the operation load of the equipment of the substation in an abnormal environment is reduced, and the operation risk of the equipment is further reduced, thereby ensuring the stable operation of the equipment of the substation when an abnormality occurs. The technical problem that the equipment monitoring intelligence of the substation in the prior art is low, resulting in reduced operation stability of the substation is solved.

[0013] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure are briefly introduced below. Obviously, the drawings described below only relate to some embodiments of the present disclosure, and are not intended to limit the present disclosure.

[0015] Figure 1 A schematic diagram of a process flow of a substation equipment monitoring and maintenance method provided in an embodiment of the present application;

[0016] Figure 2 A schematic diagram of a process for obtaining abnormal equipment in a method for monitoring and maintaining equipment in a substation provided in an embodiment of the present application;

[0017] Figure 3 A schematic diagram of a process for obtaining the importance of equipment in a method for monitoring and maintaining equipment in a substation provided in an embodiment of the present application;

[0018] Figure 4 A schematic diagram of the structure of a system for monitoring and maintaining equipment in a substation provided in an embodiment of the present application;

[0019] Figure 5 A schematic structural diagram of system electronic equipment of a method for monitoring and maintaining equipment in a substation provided by an embodiment of the present invention.

[0020] Explanation of the reference numerals: abnormal device acquisition module 11, importance acquisition module 12, abnormal level acquisition module 13, waiting period acquisition module 14, impact degree acquisition module 15, mode switching module 16, processor 31, memory 32, input device 33, output device 34. Implementation

[0021] Embodiment 1

[0022] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0023] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0024] In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0025] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application.

[0026] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, the modules are illustrative only, and different aspects of the system and method may use different modules.

[0027] Flowcharts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps may be processed in reverse order or simultaneously as required. At the same time, other operations may also be added to these processes, or a certain step or several steps of operations may be removed from these processes.

[0028] like Figure 1 As shown, an embodiment of the present application provides a method for monitoring and maintaining equipment in a substation, the method comprising:

[0029] The equipment monitoring module monitors the substation equipment in real time to obtain abnormal equipment;

[0030] By analyzing the abnormal device, obtaining the device importance, wherein the device importance is to identify the importance of the abnormal device in the set of substation devices;

[0031] Acquire an abnormal data set of the abnormal device, and calculate an abnormal level of the abnormal data set to obtain an abnormal level of the device;

[0032] Substations are power facilities that transform voltage and regulate electric energy in power systems, and substations are composed of multiple power equipment. In the prior art, when a single power equipment in a substation has abnormal conditions such as maintenance or replacement, the entire substation will stop operating, resulting in reduced operational stability of the substation. In the case of equipment abnormalities, once the abnormal equipment is shut down, the use of other equipment will be affected, causing the substation to stop operating, in order to ensure the operational stability of the substation. The substation equipment set in the substation is monitored in real time through the equipment monitoring module to obtain abnormal equipment. Subsequently, the equipment importance is obtained by analyzing the abnormal equipment, wherein the equipment importance is to identify the importance of the abnormal equipment in the substation equipment set. Further, the abnormal data set of the abnormal equipment is obtained, the abnormal data set is matched based on the historical abnormal level recognition library, the abnormal level calculation of the abnormal data set is completed, and the equipment abnormal level is obtained.

[0033] like Figure 2 As shown, the method provided in the embodiment of the present application also includes:

[0034] According to the circuit control loop of the substation, the substation equipment set is divided to output a plurality of substation equipment groups, wherein each substation equipment group corresponds to a circuit control loop;

[0035] Performing operation data monitoring on the multiple substation equipment groups according to the equipment monitoring module to obtain multiple operation monitoring data sets;

[0036] Equipment fault identification is performed according to the multiple operation monitoring data sets to obtain the abnormal equipment.

[0037] According to the circuit control loop of the substation, the substation equipment set is divided and multiple substation equipment groups are output, wherein each substation equipment group corresponds to a circuit control loop. Subsequently, the operation data of the multiple substation equipment groups are monitored according to the equipment monitoring module to obtain multiple operation monitoring data sets. The equipment monitoring module is used to monitor the operation data of multiple substation equipment groups, and the operation data includes voltage data, current data, on-off data, and the operation time of the equipment. Equipment fault identification is performed according to the multiple operation monitoring data sets to identify whether there are abnormal voltage data, current data, on-off data, and the situation of exceeding the equipment operation time, and the abnormal equipment in the substation equipment set is obtained.

[0038] like Figure 3 As shown, the method provided in the embodiment of the present application also includes:

[0039] Obtaining the substation equipment group to which the abnormal device corresponds, identifying the importance of the abnormal device in the substation equipment group, and obtaining the importance within the group;

[0040] Identifying the importance of the power transformation equipment group among the multiple power transformation equipment groups to obtain the importance between the groups;

[0041] A weighted calculation is performed according to the intra-group importance and the inter-group importance, and the device importance is output.

[0042] Obtain the substation equipment group to which the abnormal device corresponds, and identify the importance of the abnormal device in the substation equipment group, that is, obtain the importance of the abnormal device in the substation equipment group, and obtain the importance within the group. Identify the importance of the substation equipment group in the multiple substation equipment groups, that is, obtain the importance of the abnormal device in the substation, and obtain the importance between groups. Among them, the importance of the abnormal device in the substation equipment group and the importance of the abnormal device in the substation are both pre-set. Finally, perform a weighted calculation based on the importance within the group and the importance between groups, wherein the weights of the importance within the group and the importance between groups are set based on the actual operation preference requirements, and output the device importance. Among them, the device importance is to identify the importance of the abnormal device in the substation equipment set.

[0043] The method provided in the embodiment of the present application also includes:

[0044] Acquire historical abnormal events of the abnormal device, and generate an abnormal level identification library according to the data sets corresponding to each event in the historical abnormal events;

[0045] Outputting historical abnormality levels by grading events in the abnormality level identification library according to the abnormality level identification library;

[0046] The device abnormality level is obtained by matching the abnormal data set with the historical abnormality level identification library.

[0047] When calculating the abnormality level of the abnormal data set and obtaining the abnormality level of the equipment, the historical abnormal events of the abnormal equipment are used, wherein the historical abnormal events are abnormal events that occur in the historical records and the corresponding abnormal equipment cannot work, such as damage, repair, maintenance and other abnormal events. According to the data set corresponding to each event in the historical abnormal events, the operating data when the abnormal event occurs is recorded in the data set to generate an abnormality level identification library. Subsequently, by grading the events in the abnormality level identification library according to the abnormality level identification library, when grading the events in the abnormality level identification library, they are manually graded according to the actual operating conditions, and then the historical abnormality level is output. Finally, the abnormal data set is matched with the historical abnormality level identification library to obtain the abnormality level of the equipment.

[0048] The method provided in the embodiment of the present application also includes:

[0049] A terminal connected to a device maintenance log system to obtain a maintenance waiting period for the abnormal device;

[0050] Perform prediction based on the maintenance waiting period, the importance of the equipment and the abnormal level of the equipment, and output a first prediction impact index, wherein the first prediction impact index is used to identify the degree of impact of the abnormal equipment on the operation of the substation during the maintenance waiting period;

[0051] A state switching instruction is generated according to the first predicted impact indicator, and the operation mode of the abnormal device is switched according to the state switching instruction.

[0052] Connect to the terminal of the equipment maintenance log system, record the maintenance cycle of each device and the maintenance duration, i.e., the maintenance waiting cycle, in the terminal of the equipment maintenance log system, and obtain the maintenance waiting cycle of the abnormal device. Subsequently, make a prediction based on the maintenance waiting cycle, the importance of the device, and the abnormal level of the device, and output a first prediction impact index, wherein the first prediction impact index is used to identify the degree of impact of the abnormal device on the operation of the substation during the maintenance waiting cycle. Finally, generate a state switching instruction based on the first prediction impact index, and use the state switching instruction to switch the operation mode of the abnormal device, thereby achieving an accurate assessment of the degree of impact of the abnormal device, and adjusting the corresponding operation mode, reducing the operating load of the substation equipment in abnormal environments, and further reducing the operation risk of the equipment, thereby ensuring the stable operation of the substation equipment when abnormalities occur.

[0053] The method provided in the embodiment of the present application also includes:

[0054] Obtaining a pre-trained prediction network layer, wherein the prediction network layer is a Markov distribution prediction network, wherein the prediction network layer outputs identification information for identifying the impact of the fault by establishing a correlation between the abnormal device and other devices in the substation device group to which it belongs;

[0055] Taking the importance of the equipment and the abnormality level of the equipment as input variables, taking the maintenance waiting period as the prediction time, inputting the pre-trained prediction network layer, performing Markov chain prediction according to the prediction network layer, and obtaining multiple prediction impact indicators corresponding to the maintenance waiting period;

[0056] The first predicted impact indicator is outputted according to the plurality of predicted impact indicators.

[0057] According to the maintenance waiting period, the equipment importance and the equipment abnormality level, when predicting and outputting the first prediction impact index, a pre-trained prediction network layer is obtained, and the prediction network layer is a Markov distribution prediction network, wherein the prediction network layer outputs identification information for identifying the fault impact by establishing the association between the abnormal equipment and other equipment in the substation equipment group to which it belongs. When constructing the prediction network layer, the equipment importance and equipment abnormality level obtained historically are manually identified to complete the prediction impact index identification of the corresponding equipment importance and equipment abnormality level, and the prediction impact index includes the influence of equipment operating parameter data, such as temperature influence, operating parameter influence, etc. According to the equipment importance, equipment abnormality level and prediction impact index identification as training data, the Markov distribution prediction network is trained until the prediction impact index finally output by the prediction network meets the preset accuracy rate, the model training is completed, and the prediction network layer is constructed. Finally, the equipment importance and the equipment abnormality level are used as input variables, the maintenance waiting period is used as the prediction time, the pre-trained prediction network layer is input, and the Markov chain prediction is performed according to the prediction network layer to obtain multiple prediction impact indicators corresponding to the maintenance waiting period. The first predicted impact indicator is outputted according to the plurality of predicted impact indicators.

[0058] The method provided in the embodiment of the present application also includes:

[0059] Determining whether the first predicted impact indicator is greater than or equal to a preset impact indicator;

[0060] If the first predicted impact indicator is greater than or equal to a preset impact indicator, a first state switching instruction is obtained, wherein the first state switching instruction is used to switch the real-time operation mode of the abnormal device to a cold standby state mode.

[0061] After obtaining the first predicted impact indicator, determine whether the first predicted impact indicator is greater than or equal to the preset impact indicator. The preset impact indicator is a pre-set impact indicator. When it is greater than or equal to the preset impact indicator, the corresponding abnormal device can no longer continue to operate. If the first predicted impact indicator is greater than or equal to the preset impact indicator, obtain a first state switching instruction, wherein the first state switching instruction is used to switch the real-time operation mode of the abnormal device to a cold standby state mode, and the cold standby state mode is a stop operation mode.

[0062] The method provided in the embodiment of the present application also includes:

[0063] If the first predicted impact indicator is less than the preset impact indicator, obtaining a second state switching instruction, and switching the real-time operation mode of the abnormal device to a low-energy consumption operation mode according to the second state switching instruction;

[0064] Wherein, when the abnormal device is in the low energy consumption operation mode, the operation status of other devices in the substation equipment group to which the abnormal device belongs is adaptively switched.

[0065] If the first predicted impact index is less than the preset impact index, the corresponding abnormal device can still continue to operate, but cannot continue to operate according to the original operating conditions, then a second state switching instruction is obtained. The second state switching instruction is used to switch the real-time operation mode of the abnormal device to a low-energy operation mode, wherein the low-energy operation mode is an operation state that satisfies the low-power startup of the circuit. When the abnormal device is in the low-energy operation mode, the operation states of other devices in the substation device group to which the abnormal device belongs are adaptively switched.

[0066] The technical solution provided by the embodiment of the present invention monitors the substation equipment set in real time through the equipment monitoring module to obtain abnormal equipment. The equipment importance is obtained by analyzing the abnormal equipment, wherein the equipment importance is to identify the importance of the abnormal equipment in the substation equipment set. The abnormal data set of the abnormal equipment is obtained, and the abnormal level of the abnormal data set is calculated to obtain the abnormal level of the equipment. The terminal connected to the equipment maintenance log system obtains the maintenance waiting period of the abnormal equipment. According to the maintenance waiting period, the equipment importance and the abnormal level of the equipment, a prediction is made, and a first prediction impact index is output, wherein the first prediction impact index is used to identify the impact of the abnormal equipment on the operation of the substation during the maintenance waiting period. According to the first prediction impact index, a state switching instruction is generated, and the operation mode of the abnormal equipment is switched by the state switching instruction. Thereby, an accurate assessment of the impact of the abnormal equipment is achieved, and the corresponding operation mode is adjusted, the operation load of the equipment of the substation in an abnormal environment is reduced, and the operation risk of the equipment is further reduced, thereby ensuring the stable operation of the equipment of the substation when an abnormality occurs. The technical problem that the equipment monitoring intelligence of the substation in the prior art is low, resulting in reduced operation stability of the substation is solved.

[0067] Embodiment 2

[0068] Based on the same inventive concept as the equipment monitoring and maintenance method for a substation in the aforementioned embodiment, the present invention also provides a system for the equipment monitoring and maintenance method for a substation. The system can be implemented in hardware and / or software, and can generally be integrated into an electronic device to execute the method provided by any embodiment of the present invention. Figure 4 As shown, the system comprises:

[0069] The abnormal device acquisition module 11 is used to monitor the substation equipment set in real time through the equipment monitoring module to acquire abnormal devices;

[0070] An importance acquisition module 12 is used to acquire the importance of the device by analyzing the abnormal device, wherein the device importance is to identify the importance of the abnormal device in the set of substation devices;

[0071] The abnormality level acquisition module 13 is used to acquire the abnormal data set of the abnormal device, and calculate the abnormality level of the abnormal data set to acquire the abnormality level of the device;

[0072] A waiting period acquisition module 14 is used to connect to a terminal of a device maintenance log system and acquire a maintenance waiting period of the abnormal device;

[0073] The impact degree acquisition module 15 is used to make a prediction based on the maintenance waiting period, the importance of the equipment and the abnormal level of the equipment, and output a first prediction impact index, wherein the first prediction impact index is used to identify the impact degree of the abnormal equipment on the operation of the substation during the maintenance waiting period;

[0074] The mode switching module 16 is used to generate a state switching instruction according to the first prediction impact indicator, and switch the operation mode of the abnormal device with the state switching instruction.

[0075] Furthermore, the abnormal device acquisition module 11 is also used for:

[0076] According to the circuit control loop of the substation, the substation equipment set is divided to output a plurality of substation equipment groups, wherein each substation equipment group corresponds to a circuit control loop;

[0077] Performing operation data monitoring on the multiple substation equipment groups according to the equipment monitoring module to obtain multiple operation monitoring data sets;

[0078] Equipment fault identification is performed according to the multiple operation monitoring data sets to obtain the abnormal equipment.

[0079] Furthermore, the importance acquisition module 12 is also used for:

[0080] Obtaining the substation equipment group to which the abnormal device corresponds, identifying the importance of the abnormal device in the substation equipment group, and obtaining the importance within the group;

[0081] Identifying the importance of the power transformation equipment group among the multiple power transformation equipment groups to obtain the importance between the groups;

[0082] A weighted calculation is performed according to the intra-group importance and the inter-group importance, and the device importance is output.

[0083] Furthermore, the importance acquisition module 12 is also used for:

[0084] Acquire historical abnormal events of the abnormal device, and generate an abnormal level identification library according to the data sets corresponding to each event in the historical abnormal events;

[0085] Outputting historical abnormality levels by grading events in the abnormality level identification library according to the abnormality level identification library;

[0086] The device abnormality level is obtained by matching the abnormal data set with the historical abnormality level identification library.

[0087] Furthermore, the influence degree acquisition module 15 is also used for:

[0088] Obtaining a pre-trained prediction network layer, wherein the prediction network layer is a Markov distribution prediction network, wherein the prediction network layer outputs identification information for identifying the impact of the fault by establishing a correlation between the abnormal device and other devices in the substation device group to which it belongs;

[0089] Taking the importance of the equipment and the abnormality level of the equipment as input variables, taking the maintenance waiting period as the prediction time, inputting the pre-trained prediction network layer, performing Markov chain prediction according to the prediction network layer, and obtaining multiple prediction impact indicators corresponding to the maintenance waiting period;

[0090] The first predicted impact indicator is outputted according to the plurality of predicted impact indicators.

[0091] Furthermore, the mode switching module 16 is also used for:

[0092] Determining whether the first predicted impact indicator is greater than or equal to a preset impact indicator;

[0093] If the first predicted impact indicator is greater than or equal to a preset impact indicator, a first state switching instruction is obtained, wherein the first state switching instruction is used to switch the real-time operation mode of the abnormal device to a cold standby state mode.

[0094] Furthermore, the mode switching module 16 is also used for:

[0095] If the first predicted impact indicator is less than the preset impact indicator, obtaining a second state switching instruction, and switching the real-time operation mode of the abnormal device to a low-energy consumption operation mode according to the second state switching instruction;

[0096] Wherein, when the abnormal device is in the low energy consumption operation mode, the operation status of other devices in the substation equipment group to which the abnormal device belongs is adaptively switched.

[0097] The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present invention.

[0098] Embodiment 3

[0099] Figure 5 The schematic diagram of the structure of the electronic device provided in the third embodiment of the present invention shows a block diagram of an exemplary electronic device suitable for implementing the implementation mode of the present invention. Figure 5 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Figure 5 As shown, the electronic device includes a processor 31, a memory 32, an input device 33 and an output device 34; the number of processors 31 in the electronic device can be one or more. Figure 5 Taking a processor 31 as an example, the processor 31, memory 32, input device 33 and output device 34 in the electronic device can be connected through a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0100] The memory 32 is a computer-readable storage medium that can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to a device monitoring and maintenance method for a substation in an embodiment of the present invention. The processor 31 executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory 32, that is, implements the above-mentioned device monitoring and maintenance method for a substation.

[0101] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for monitoring and maintaining equipment in a substation, characterized in that: The method comprises: The equipment monitoring module monitors the substation equipment in real time to obtain abnormal equipment; By analyzing the abnormal device, obtaining the device importance, wherein the device importance is to identify the importance of the abnormal device in the set of substation devices; Acquire an abnormal data set of the abnormal device, and calculate an abnormal level of the abnormal data set to obtain an abnormal level of the device; A terminal connected to a device maintenance log system to obtain a maintenance waiting period for the abnormal device; Perform prediction based on the maintenance waiting period, the importance of the equipment and the abnormal level of the equipment, and output a first prediction impact index, wherein the first prediction impact index is used to identify the degree of impact of the abnormal equipment on the operation of the substation during the maintenance waiting period; generating a state switching instruction according to the first prediction impact indicator, and switching the operation mode of the abnormal device with the state switching instruction; Generating a state switching instruction according to the first prediction impact indicator, the method comprising: Determining whether the first predicted impact indicator is greater than or equal to a preset impact indicator; If the first predicted impact indicator is greater than or equal to a preset impact indicator, obtaining a first state switching instruction, wherein the first state switching instruction is used to switch the real-time operation mode of the abnormal device to a cold standby state mode; The first predicted impact indicator is less than the preset impact indicator, obtaining a second state switching instruction, and switching the real-time operation mode of the abnormal device to a low-energy consumption operation mode according to the second state switching instruction; Wherein, when the abnormal device is in the low energy consumption operation mode, the operation status of other devices in the substation equipment group to which the abnormal device belongs is adaptively switched.

2. The method according to claim 1, characterized in that The device monitoring module is used to monitor the substation equipment set in real time, and the method further includes: According to the circuit control loop of the substation, the substation equipment set is divided to output a plurality of substation equipment groups, wherein each substation equipment group corresponds to a circuit control loop; Performing operation data monitoring on the multiple substation equipment groups according to the equipment monitoring module to obtain multiple operation monitoring data sets; Equipment fault identification is performed according to the multiple operation monitoring data sets to obtain the abnormal equipment.

3. The method according to claim 2, characterized in that By analyzing the abnormal device, the importance of the device is obtained, and the method further includes: Obtaining the substation equipment group to which the abnormal device corresponds, identifying the importance of the abnormal device in the substation equipment group, and obtaining the importance within the group; Identifying the importance of the power transformation equipment group among the multiple power transformation equipment groups to obtain the importance between the groups; A weighted calculation is performed according to the intra-group importance and the inter-group importance, and the device importance is output.

4. The method according to claim 3, characterized in that Calculating the abnormality level of the abnormal data set to obtain the abnormality level of the device, the method includes: Acquire historical abnormal events of the abnormal device, and generate an abnormal level identification library according to the data sets corresponding to each event in the historical abnormal events; Outputting historical abnormality levels by grading events in the abnormality level identification library according to the abnormality level identification library; The device abnormality level is obtained by matching the abnormal data set with the historical abnormality level identification library.

5. The method according to claim 2, characterized in that Predicting based on the maintenance waiting period, the equipment importance and the equipment abnormality level, and outputting a first prediction impact index, the method further includes: Obtaining a pre-trained prediction network layer, wherein the prediction network layer is a Markov distribution prediction network, wherein the prediction network layer outputs identification information for identifying the impact of the fault by establishing a correlation between the abnormal device and other devices in the substation device group to which it belongs; Taking the importance of the equipment and the abnormality level of the equipment as input variables, taking the maintenance waiting period as the prediction time, inputting the pre-trained prediction network layer, performing Markov chain prediction according to the prediction network layer, and obtaining multiple prediction impact indicators corresponding to the maintenance waiting period; The first predicted impact indicator is outputted according to the plurality of predicted impact indicators.

6. A substation equipment monitoring and maintenance system, characterized in that: The system is used to execute the method according to any one of claims 1 to 5, and the system comprises: The abnormal equipment acquisition module is used to monitor the substation equipment set in real time through the equipment monitoring module to acquire abnormal equipment; An importance acquisition module, used to acquire the importance of the device by analyzing the abnormal device, wherein the importance of the device is to identify the importance of the abnormal device in the set of substation devices; An abnormality level acquisition module is used to acquire an abnormal data set of the abnormal device, and calculate the abnormality level of the abnormal data set to acquire the abnormality level of the device; A waiting period acquisition module, used to connect to a terminal of a device maintenance log system and acquire a maintenance waiting period of the abnormal device; An impact degree acquisition module is used to make a prediction based on the maintenance waiting period, the importance of the equipment and the abnormal level of the equipment, and output a first prediction impact index, wherein the first prediction impact index is used to identify the impact degree of the abnormal equipment on the operation of the substation during the maintenance waiting period; A mode switching module is used to generate a state switching instruction according to the first prediction impact indicator, and switch the operation mode of the abnormal device with the state switching instruction.

7. An electronic device, characterized in that: The electronic device comprises: A memory for storing executable instructions; The processor is used to implement the equipment monitoring and maintenance method of a substation as described in any one of claims 1 to 5 when executing the executable instructions stored in the memory.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a method for monitoring and maintaining equipment in a substation as described in any one of claims 1 to 5 is implemented.

Images