Model intelligent operation and maintenance method and device based on multi-modal data

Abstract

The application discloses a model intelligent operation and maintenance method and device based on multi-modal data, and the method comprises the following steps: obtaining operation result information corresponding to a target model, judging whether the target model meets operation and maintenance requirement conditions according to the operation result information; if yes, obtaining operation data corresponding to the target model, and determining operation and maintenance analysis results according to the operation data, the operation result information and operation and maintenance analysis conditions; and performing intelligent operation and maintenance operation on the target model according to the operation and maintenance analysis results to obtain the target model after intelligent operation and maintenance. It can be seen that the application can determine the operation and maintenance analysis results of the equipment according to the operation data, the operation result information and the operation and maintenance analysis conditions of the model, and perform intelligent operation and maintenance operation on the model based on the operation and maintenance analysis results, thereby improving the comprehensiveness, rationality and scientificity of the model intelligent operation and maintenance method based on multi-modal data, and further improving the accuracy and determination efficiency of the determined operation and maintenance analysis results, so that the operation and maintenance accuracy and the operation and maintenance efficiency of the equipment are improved.

Description

Technical Field

[0001] This invention relates to the field of model processing technology, and in particular to an intelligent operation and maintenance method and apparatus for models based on multimodal data. Background Technology

[0002] As the power grid expands and the number of power devices increases, the stable and orderly operation of power devices plays a crucial role in the harmonious development of the power grid. As a result, a large number of models for monitoring and controlling the stable operation of power devices have emerged. However, many factors during the operation of power devices can affect the monitoring and control effectiveness of these models, necessitating continuous maintenance, updates, and upgrades to the models' functions.

[0003] Currently, most model operation and maintenance methods involve staff subjectively screening the model's functions and procedures to identify problems when discrepancies are found between the model's monitoring and control results and the actual conditions of the power equipment. This process results in low accuracy and efficiency. Therefore, providing a new intelligent model operation and maintenance method to improve accuracy and efficiency is crucial. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent operation and maintenance method for models based on multimodal data, which can improve the accuracy and efficiency of model operation and maintenance.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses an intelligent operation and maintenance method for models based on multimodal data, the method comprising: Obtain the running result information corresponding to the pre-built target model, and determine whether the target model meets the preset operation and maintenance requirements based on the running result information; When it is determined that the target model meets the operation and maintenance requirements, the corresponding operation data of the target model is obtained, and the operation and maintenance analysis result of the target model is determined based on the operation data, the operation result information and the set operation and maintenance analysis conditions. Based on the operation and maintenance analysis results, intelligent operation and maintenance operations are performed on the target model to obtain the target model after intelligent operation and maintenance.

[0006] As an optional implementation, in the first aspect of the present invention, before obtaining the running result information corresponding to the pre-built target model, the method further includes: Based on the obtained model building requirements information, perform model building operations to obtain the completed target model; And, the step of performing a model building operation based on the obtained model building requirement information to obtain the completed target model includes: Based on the obtained model building requirement information, determine the target instance state type; The target abstract state type is determined based on the target instance state type, the model construction requirement information, and the set abstract state determination conditions; Based on the target instance state type, the target abstract state type, and the set model construction requirements, the target model is constructed. The target instance state type includes one or more of the following: running instance state type, healthy instance state type, load instance state type, risk instance state type, and other instance state types; the target abstract state type includes one or more of the following: state abstract state type, phase abstract state type, and time abstract state type.

[0007] As an optional implementation, in the first aspect of the present invention, determining the target abstract state type based on all the target instance state types, the model construction requirement information, and the set abstract state determination conditions includes: Based on the target instance state type and the set instance state abstraction conditions, determine the instance state abstraction definition, and based on the instance state abstraction definition and the set abstraction division conditions, determine the instance state abstraction division. Based on the instance state abstraction conditions, the model construction requirements, and the set polymorphic relationship conditions, the target abstract state type is determined.

[0008] As an optional implementation, in the first aspect of the present invention, determining whether the target model meets preset operation and maintenance requirements based on the operation result information includes: Monitor the actual operating performance of devices that match the target model, and determine the operating matching degree of the devices based on the operating results information and the actual operating performance. Based on the operational matching degree and the set operational analysis conditions, the operational effectiveness of the target model is determined. Determine whether the operational effectiveness is less than or equal to a preset operational effectiveness threshold; When it is determined that the operational effectiveness is less than or equal to the operational effectiveness threshold, the target model is determined to meet the preset operation and maintenance requirements. When it is determined that the operational effectiveness is greater than the operational effectiveness threshold, it is determined that the target model does not meet the operational and maintenance requirements.

[0009] As an optional implementation, in the first aspect of the present invention, determining the operation and maintenance analysis result corresponding to the target model based on the operation data, the operation result information, and the set operation and maintenance analysis conditions includes: By analyzing the operational data and the operational results, the operational and maintenance requirements corresponding to the target model can be obtained. Based on the operational and maintenance requirements and the set operational and maintenance modality determination conditions, the operational and maintenance requirement modality type corresponding to the target model is determined; the operational and maintenance requirement modality type includes at least one sub-instance type in the target instance type and / or at least one sub-abstract type in the target abstract type; Based on the operation and maintenance requirement modality type, the operation and maintenance requirement status, and the set modal operation and maintenance conditions, determine the operation and maintenance analysis results corresponding to the target model.

[0010] As an optional implementation, in the first aspect of the present invention, determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions includes: Based on the operational and maintenance requirements and the set first modality determination conditions, the target sub-abstract type is selected from all the sub-abstract types included in the target abstract state type; Based on the target sub-abstract state type and the operation and maintenance requirements, determine whether there is a target sub-instance state type among all the sub-instance state types included in the target instance state type that satisfies the set second modality determination conditions; When the judgment result is yes, the operation and maintenance requirement modality type corresponding to the target model is determined according to the target sub-abstract state type and the target sub-instance state type; If the judgment result is negative, the operation and maintenance requirement modality type corresponding to the target model is determined according to the target sub-abstract state type.

[0011] As an optional implementation, in the first aspect of the present invention, after determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions, the method further includes: Based on the operation and maintenance requirement modality type and the set model association relationship, determine whether there is a target associated model in the associated model set that meets the associated operation and maintenance requirement conditions; the associated model set includes at least one associated model that has an association relationship with the target model; When it is determined that there is a target associated model in the associated model set that meets the associated operation and maintenance requirements, the model modal attribute information of the target associated model is obtained, and the associated operation and maintenance requirements modal type corresponding to the target associated model is determined according to the model modal attribute information, the operation and maintenance requirements modal type and the model association relationship. Based on the associated operation and maintenance requirement modal type and modal operation and maintenance conditions, determine the associated operation and maintenance analysis results corresponding to the target associated model; Based on the associated operation and maintenance analysis results, intelligent operation and maintenance operations are performed on the target associated model to obtain the target associated model after intelligent operation and maintenance.

[0012] A second aspect of this invention discloses a model-based intelligent operation and maintenance device based on multimodal data, the device comprising: The acquisition module is used to obtain the running result information corresponding to the pre-built target model; The judgment module is used to determine whether the target model meets the preset operation and maintenance requirements based on the operation result information. The acquisition module is further configured to acquire the running data corresponding to the target model when the judgment module determines that the target model meets the operation and maintenance requirements. The determination module is used to determine the operation and maintenance analysis result corresponding to the target model based on the operation data, the operation result information, and the set operation and maintenance analysis conditions. The operation and maintenance module is used to perform intelligent operation and maintenance operations on the target model based on the operation and maintenance analysis results, so as to obtain the target model after intelligent operation and maintenance.

[0013] As an optional implementation, in a second aspect of the invention, the apparatus further includes: The model building module is used to perform model building operations based on the obtained model building requirement information to obtain the completed target model; Furthermore, the specific methods by which the model building module performs model building operations based on the obtained model building requirement information to obtain the completed target model include: Based on the obtained model building requirement information, determine the target instance state type; The target abstract state type is determined based on the target instance state type, the model construction requirement information, and the set abstract state determination conditions; Based on the target instance state type, the target abstract state type, and the set model construction requirements, the target model is constructed. The target instance state type includes one or more of the following: running instance state type, healthy instance state type, load instance state type, risk instance state type, and other instance state types; the target abstract state type includes one or more of the following: state abstract state type, phase abstract state type, and time abstract state type.

[0014] As an optional implementation, in the second aspect of the present invention, the method by which the model building module determines the target abstract state type based on all the target instance state types, the model building requirement information, and the set abstract state determination conditions specifically includes: Based on the target instance state type and the set instance state abstraction conditions, determine the instance state abstraction definition, and based on the instance state abstraction definition and the set abstraction division conditions, determine the instance state abstraction division. Based on the instance state abstraction conditions, the model construction requirements, and the set polymorphic relationship conditions, the target abstract state type is determined.

[0015] As an optional implementation, in the second aspect of the present invention, the method by which the judging module judges whether the target model meets the preset operation and maintenance requirements based on the operation result information specifically includes: Monitor the actual operating performance of devices that match the target model, and determine the operating matching degree of the devices based on the operating results information and the actual operating performance. Based on the operational matching degree and the set operational analysis conditions, the operational effectiveness of the target model is determined. Determine whether the operational effectiveness is less than or equal to a preset operational effectiveness threshold; When it is determined that the operational effectiveness is less than or equal to the operational effectiveness threshold, the target model is determined to meet the preset operation and maintenance requirements. When it is determined that the operational effectiveness is greater than the operational effectiveness threshold, it is determined that the target model does not meet the operational and maintenance requirements.

[0016] As an optional implementation, in a second aspect of the present invention, the method by which the determining module determines the operation and maintenance analysis result corresponding to the target model based on the operation data, the operation result information, and the set operation and maintenance analysis conditions specifically includes: By analyzing the operational data and the operational results, the operational and maintenance requirements corresponding to the target model can be obtained. Based on the operational and maintenance requirements and the set operational and maintenance modality determination conditions, the operational and maintenance requirement modality type corresponding to the target model is determined; the operational and maintenance requirement modality type includes at least one sub-instance type in the target instance type and / or at least one sub-abstract type in the target abstract type; Based on the operation and maintenance requirement modality type, the operation and maintenance requirement status, and the set modal operation and maintenance conditions, determine the operation and maintenance analysis results corresponding to the target model.

[0017] As an optional implementation, in the second aspect of the present invention, the method by which the determining module determines the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions specifically includes: Based on the operational and maintenance requirements and the set first modality determination conditions, the target sub-abstract type is selected from all the sub-abstract types included in the target abstract state type; Based on the target sub-abstract state type and the operation and maintenance requirements, determine whether there is a target sub-instance state type among all the sub-instance state types included in the target instance state type that satisfies the set second modality determination conditions; When the judgment result is yes, the operation and maintenance requirement modality type corresponding to the target model is determined according to the target sub-abstract state type and the target sub-instance state type; If the judgment result is negative, the operation and maintenance requirement modality type corresponding to the target model is determined according to the target sub-abstract state type.

[0018] As an optional implementation, in a second aspect of the present invention, the determining module is further configured to, after determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirement situation and the set operation and maintenance mode determination conditions, determine whether there is a target associated model in the associated model set that satisfies the associated operation and maintenance requirement conditions based on the operation and maintenance requirement mode type and the set model association relationship; the associated model set includes at least one associated model that has an association relationship with the target model; When it is determined that there is a target associated model in the associated model set that meets the associated operation and maintenance requirements, the model modal attribute information of the target associated model is obtained, and the associated operation and maintenance requirements modal type corresponding to the target associated model is determined according to the model modal attribute information, the operation and maintenance requirements modal type and the model association relationship. Based on the associated operation and maintenance requirement modal type and modal operation and maintenance conditions, determine the associated operation and maintenance analysis results corresponding to the target associated model; Based on the associated operation and maintenance analysis results, intelligent operation and maintenance operations are performed on the target associated model to obtain the target associated model after intelligent operation and maintenance.

[0019] A third aspect of this invention discloses another intelligent operation and maintenance device based on multimodal data, the device comprising: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent operation and maintenance method for models based on multimodal data disclosed in the first aspect of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the intelligent operation and maintenance method for models based on multimodal data disclosed in the first aspect of the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In this embodiment of the invention, the running result information corresponding to the pre-constructed target model is obtained, and based on the running result information, it is determined whether the target model meets the preset operation and maintenance requirements. When it is determined that the target model meets the operation and maintenance requirements, the running data corresponding to the target model is obtained, and based on the running data, the running result information, and the set operation and maintenance analysis conditions, the operation and maintenance analysis result corresponding to the target model is determined. Based on the operation and maintenance analysis result, intelligent operation and maintenance operations are performed on the target model to obtain the target model after intelligent operation and maintenance. It is evident that implementing this method can determine the operation and maintenance analysis result of the equipment based on the model's running data, running result information, and operation and maintenance analysis conditions, and perform intelligent operation and maintenance operations on the model based on the operation and maintenance analysis result. This is beneficial to improving the comprehensiveness, rationality, and scientific nature of the intelligent operation and maintenance method based on multimodal data, thereby improving the accuracy and efficiency of the determined operation and maintenance analysis result, and ultimately improving the accuracy and efficiency of equipment operation and maintenance. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating an intelligent operation and maintenance method for models based on multimodal data disclosed in an embodiment of the present invention. Figure 2 This is a flowchart illustrating another intelligent operation and maintenance method for models based on multimodal data disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a model-based intelligent operation and maintenance device disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of another intelligent operation and maintenance device based on multimodal data disclosed in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of another intelligent operation and maintenance device based on multimodal data disclosed in an embodiment of the present invention; Figure 6This is a schematic diagram of the model structure of an intelligent operation and maintenance method based on multimodal data disclosed in an embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] This invention discloses a model-based intelligent operation and maintenance method and apparatus based on multimodal data. It can determine the operation and maintenance analysis results of the equipment based on the model's operational data, operational results information, and operation and maintenance analysis conditions. Based on these results, it performs intelligent operation and maintenance operations on the model. This improves the comprehensiveness, rationality, and scientific nature of the model-based intelligent operation and maintenance approach, thereby enhancing the accuracy and efficiency of the determined operation and maintenance analysis results, and ultimately improving the accuracy and efficiency of equipment operation and maintenance. Detailed descriptions follow.

[0028] Example 1 Please see Figure 1 , Figure 1 This is a flowchart illustrating an intelligent model operation and maintenance method based on multimodal data disclosed in an embodiment of the present invention. Figure 1The described method can be applied to intelligent operation and maintenance devices based on multimodal data. This device may include a server, which may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 1 As shown, this intelligent operation and maintenance method based on multimodal data includes the following operations: 101. Obtain the running result information corresponding to the pre-built target model.

[0029] Optionally, the running result information corresponding to the target model can be information that reflects the output content of the target model or information that reflects the running effect of the target model. This embodiment of the invention does not limit the information.

[0030] 102. Based on the operation results, determine whether the target model meets the preset operation and maintenance requirements.

[0031] Alternatively, if it is determined that the target model does not meet the operation and maintenance requirements, step 101 shall be executed.

[0032] 103. When it is determined that the target model meets the operation and maintenance requirements, obtain the corresponding operation data of the target model, and determine the operation and maintenance analysis results of the target model based on the operation data, operation result information and the set operation and maintenance analysis conditions.

[0033] 104. Based on the operation and maintenance analysis results, perform intelligent operation and maintenance operations on the target model to obtain the target model after intelligent operation and maintenance.

[0034] As can be seen, the intelligent operation and maintenance method based on multimodal data described in the embodiments of the present invention can determine the operation and maintenance analysis results of the equipment based on the model's running data, running result information, and operation and maintenance analysis conditions, and perform intelligent operation and maintenance operations on the model based on the operation and maintenance analysis results. This is beneficial to improving the comprehensiveness, rationality, and scientific nature of the intelligent operation and maintenance method based on multimodal data, and thus beneficial to improving the accuracy and efficiency of the determined operation and maintenance analysis results, thereby improving the accuracy and efficiency of equipment operation and maintenance.

[0035] In an optional embodiment, determining whether the target model meets the preset operation and maintenance requirements based on the operation result information may include: Monitor the actual operating performance of equipment that matches the target model, and determine the operating matching degree of the equipment based on the operating results and actual operating performance. Based on the operational matching degree and the set operational analysis conditions, determine the operational effectiveness of the target model; Determine whether the operational effectiveness is less than or equal to the preset operational effectiveness threshold; When it is determined that the operational effectiveness is less than or equal to the operational effectiveness threshold, the target model is determined to meet the preset operation and maintenance requirements. When the operational effectiveness is determined to be greater than the operational effectiveness threshold, it is determined that the target model does not meet the operational and maintenance requirements.

[0036] As can be seen, this optional embodiment can determine the operational effectiveness of the target model and determine the model's operational requirements condition satisfaction result based on the comparison between the operational effectiveness and the operational effectiveness threshold. This is beneficial to improving the comprehensiveness, rationality, and feasibility of the method for determining the operational requirements condition satisfaction result, thereby improving the accuracy and reliability of the determined operational requirements condition satisfaction result, as well as improving the efficiency and convenience of determining the operational requirements condition satisfaction result.

[0037] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating another intelligent operation and maintenance method for models based on multimodal data disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to intelligent operation and maintenance devices based on multimodal data. This device may include a server, which may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 2 As shown, this intelligent operation and maintenance method based on multimodal data includes the following operations: 201. Based on the obtained model building requirements information, perform the model building operation to obtain the completed target model.

[0038] Optionally, the model building requirements information of the target model may include, but is not limited to, one or more of the following: basic attribute information, technical parameter information, asset data information, equipment operation-related data, equipment operation and maintenance data, and other information that can reflect the equipment status of the equipment that matches the target model. This embodiment of the invention does not limit these requirements.

[0039] Optionally, a schematic diagram of the target model's architecture can be referenced. Figure 6 As shown, the embodiments of the present invention are not limited.

[0040] 202. Obtain the running result information corresponding to the pre-built target model, and determine whether the target model meets the preset operation and maintenance requirements based on the running result information.

[0041] 203. When it is determined that the target model meets the operation and maintenance requirements, obtain the corresponding operation data of the target model, and determine the operation and maintenance analysis results of the target model based on the operation data, operation result information and the set operation and maintenance analysis conditions.

[0042] 204. Based on the operation and maintenance analysis results, perform intelligent operation and maintenance operations on the target model to obtain the target model after intelligent operation and maintenance.

[0043] In this embodiment of the invention, for other descriptions of steps 202-204, please refer to the other detailed descriptions of steps 101-104 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0044] As can be seen, the embodiments of the present invention can determine the operation and maintenance analysis results of the equipment based on the model's running data, running result information, and operation and maintenance analysis conditions, and perform intelligent operation and maintenance operations on the model based on the operation and maintenance analysis results. This is beneficial to improving the comprehensiveness, rationality, and scientificity of the intelligent operation and maintenance method based on multimodal data, and thus beneficial to improving the accuracy and efficiency of the determined operation and maintenance analysis results, thereby improving the accuracy and efficiency of equipment operation and maintenance. In addition, it can also provide a model construction method, enriching the intelligent functions of the intelligent operation and maintenance method based on multimodal data, which is beneficial to improving the comprehensiveness, integrity, and rationality of the intelligent operation and maintenance method based on multimodal data, and also beneficial to improving the matching between the constructed target model and the present solution, thereby improving the stability and reliability of model operation and maintenance based on the present solution.

[0045] In an optional embodiment, the above-mentioned model building operation, performed based on the obtained model building requirement information, to obtain the completed target model, may include: Based on the obtained model building requirement information, determine the target instance state type; Determine the target abstract state type based on the target instance state type, model construction requirements, and the defined abstract state determination conditions; Based on the target instance state type, the target abstract state type, and the set model construction requirements, the target model is constructed. The target instance state type includes one or more of the following: running instance state type, healthy instance state type, load instance state type, risk instance state type, and other instance state types; the target abstract state type includes one or more of the following: state abstract state type, phase abstract state type, and time abstract state type.

[0046] Optionally, the running instance state type may include running state, hot standby state, cold standby state, and maintenance state, etc., and this embodiment of the invention is not limited thereto. Optionally, the health instance state type may include normal state, alert state, abnormal state, and critical state, etc., and this embodiment of the invention is not limited thereto. Optionally, the load instance state type may include overload state, heavy load state, normal state, and light load state, etc., and this embodiment of the invention is not limited thereto. Optionally, the risk instance state type may include low-risk state, medium-risk state, and high-risk state, etc., and this embodiment of the invention is not limited thereto.

[0047] As can be seen, this optional embodiment can determine the target instance state type and the target abstract state type, and then intelligently construct the target model, which is conducive to improving the comprehensiveness, rationality and scientific nature of the model construction method, and thus conducive to improving the model construction efficiency and reliability.

[0048] In another optional embodiment, determining the target abstract state type based on all target instance state types, model construction requirement information, and set abstract state determination conditions may include: Based on the target instance state type and the set instance state abstraction conditions, determine the instance state abstraction definition, and based on the instance state abstraction definition and the set abstraction partitioning conditions, determine the instance state abstraction partitioning. Based on the instance state abstraction conditions, model construction requirements, and the set polymorphic relationship conditions, determine the target abstract state type.

[0049] Optionally, the phase abstract state type can be abstracted and divided from the level of physical form such as appearance characteristics, including appearance state (damaged, intact, etc.), and this embodiment of the invention is not limited. Optionally, the temporal abstract state type can be divided from the time dimension, including past state, current state, future state, etc., and this embodiment of the invention is not limited. Optionally, the state abstract state type can be abstracted and divided from the level of action state, including running state, healthy state, risky state, etc., and this embodiment of the invention is not limited.

[0050] It is evident that this optional embodiment can provide a method for determining abstract state types, which is beneficial to improving the comprehensiveness and rationality of the method for determining abstract state types, thereby improving the accuracy, reliability and efficiency of the determined abstract state types, and thus improving the accuracy and reliability of the target model constructed based on the abstract state types, so as to improve the matching degree between the actual running effect and the prediction effect of the target model.

[0051] In another optional embodiment, the determination of the operation and maintenance analysis result corresponding to the target model based on the operation data, operation result information, and set operation and maintenance analysis conditions may include: Analyze the operational data and results to obtain the operational and maintenance requirements corresponding to the target model; Based on the operational and maintenance requirements and the established operational and maintenance modality determination conditions, determine the operational and maintenance requirement modality type corresponding to the target model; the operational and maintenance requirement modality type includes at least one sub-instance type in the target instance type and / or at least one sub-abstract type in the target abstract type; Based on the modal type of operation and maintenance requirements, the operation and maintenance requirements, and the set modal operation and maintenance conditions, determine the operation and maintenance analysis results corresponding to the target model.

[0052] Optionally, the sub-instance state type may include, but is not limited to, one or more of the running instance state type, healthy instance state type, load instance state type, risk instance state type and other instance state types mentioned above, and the embodiments of the present invention do not limit it.

[0053] Optionally, the sub-abstract state type may include, but is not limited to, one or more of the state abstract state type, phase abstract state type, and time abstract state type mentioned above, and the embodiments of the present invention do not impose any limitations.

[0054] It is evident that this optional embodiment can provide a method for determining operation and maintenance analysis results, which is conducive to improving the comprehensiveness and rationality of the method for determining operation and maintenance analysis results, thereby improving the accuracy, reliability and efficiency of the determined operation and maintenance analysis results, and thus improving the accuracy and efficiency of model operation and maintenance based on operation and maintenance analysis results.

[0055] In another optional embodiment, determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions may include: Based on the operational and maintenance requirements and the established first mode determination conditions, the target sub-abstract type is selected from all sub-abstract types included in the target abstract state type; Based on the target sub-abstract state type and operation and maintenance requirements, determine whether there is a target sub-instance state type among all the sub-instance state types included in the target instance state type that meets the set second modality determination conditions; When the judgment result is yes, the operation and maintenance requirement modality type corresponding to the target model is determined based on the target sub-abstract state type and the target sub-instance state type. When the judgment result is negative, the operation and maintenance requirement modality type corresponding to the target model is determined based on the target sub-abstract state type.

[0056] As can be seen, this optional embodiment can determine the matching operation and maintenance requirement mode type determination method according to the different modality determination conditions, intelligently determine the target sub-abstract state type and / or target sub-instance state type with operation and maintenance requirements, and thus determine the operation and maintenance requirement mode type. This is conducive to improving the comprehensiveness and rationality of the operation and maintenance requirement mode type determination method, which in turn is conducive to improving the accuracy and reliability of the determined sub-instance state and / or sub-abstract state with operation and maintenance requirements, and also conducive to improving the diversity, flexibility and selectivity of the operation and maintenance requirement mode type determination method, thereby improving the accuracy, reliability and determination efficiency of the determined operation and maintenance requirement mode type.

[0057] In another optional embodiment, after determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions, the method may further include the following operations: Based on the operation and maintenance requirement modality type and the set model association relationship, determine whether there is a target associated model in the associated model set that meets the associated operation and maintenance requirement conditions; the associated model set includes at least one associated model that has an association relationship with the target model; When it is determined that there is a target associated model in the associated model set that meets the associated operation and maintenance requirements, the model modal attribute information of the target associated model is obtained, and the associated operation and maintenance requirement modal type corresponding to the target associated model is determined based on the model modal attribute information, the operation and maintenance requirement modal type and the model association relationship. Based on the modal type and modal operation and maintenance conditions of the associated operation and maintenance requirements, determine the associated operation and maintenance analysis results corresponding to the target associated model; Based on the results of the associated operation and maintenance analysis, intelligent operation and maintenance operations are performed on the target associated model to obtain the target associated model after intelligent operation and maintenance.

[0058] Further optionally, when it is determined that there is no target associated model in the associated model set that meets the associated operation and maintenance requirements, it is determined whether the target model meets the model operation and maintenance completion conditions. If the determination result is yes, the intelligent operation and maintenance of the target model is determined to end; if the determination result is no, the intelligent operation and maintenance operation of the target model continues to be executed.

[0059] It is evident that this optional embodiment can provide an intelligent operation and maintenance method for associated models related to the target model, which is conducive to improving the comprehensiveness and rationality of intelligent operation and maintenance methods based on multimodal data, enriching the intelligent functions of intelligent operation and maintenance methods based on multimodal data, and thus improving the real-time monitoring and timeliness of operation and maintenance requirements of associated models, thereby improving the overall operation and maintenance efficiency and overall operational stability of the model.

[0060] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a model-based intelligent operation and maintenance device disclosed in an embodiment of the present invention. Figure 3 The described apparatus may include a server, wherein the server includes a local server or a cloud server, and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the intelligent operation and maintenance device based on multimodal data may include: The acquisition module 301 is used to acquire the running result information corresponding to the pre-built target model.

[0061] The judgment module 302 is used to determine whether the target model meets the preset operation and maintenance requirements based on the operation result information.

[0062] The acquisition module 301 is also used to acquire the running data corresponding to the target model when the judgment module 302 determines that the target model meets the operation and maintenance requirements.

[0063] The determination module 303 is used to determine the operation and maintenance analysis results corresponding to the target model based on the operation data, operation result information and the set operation and maintenance analysis conditions.

[0064] The operation and maintenance module 304 is used to perform intelligent operation and maintenance operations on the target model based on the operation and maintenance analysis results, so as to obtain the target model after intelligent operation and maintenance.

[0065] It is evident that implementation Figure 3 The described intelligent operation and maintenance device based on multimodal data can determine the operation and maintenance analysis results of the equipment based on the model's operating data, operating result information, and operation and maintenance analysis conditions. Based on the operation and maintenance analysis results, it can perform intelligent operation and maintenance operations on the model. This is conducive to improving the comprehensiveness, rationality, and scientific nature of the intelligent operation and maintenance method based on multimodal data, and thus conducive to improving the accuracy and efficiency of the determined operation and maintenance analysis results, thereby improving the accuracy and efficiency of equipment operation and maintenance.

[0066] In an optional embodiment, such as Figure 4 As shown, the device may further include: The model building module 305 is used to perform model building operations based on the obtained model building requirement information to obtain the completed target model.

[0067] Furthermore, the model building module 305 performs model building operations based on the obtained model building requirement information, and the specific methods for obtaining the completed target model include: Based on the obtained model building requirement information, determine the target instance state type; Determine the target abstract state type based on the target instance state type, model construction requirements, and the defined abstract state determination conditions; Based on the target instance state type, the target abstract state type, and the set model construction requirements, the target model is constructed. The target instance state type includes one or more of the following: running instance state type, healthy instance state type, load instance state type, risk instance state type, and other instance state types; the target abstract state type includes one or more of the following: state abstract state type, phase abstract state type, and time abstract state type.

[0068] It is evident that implementation Figure 4The described device provides a model construction method, enriches the intelligent functions of intelligent operation and maintenance methods based on multimodal data, and helps improve the comprehensiveness, integrity, and rationality of intelligent operation and maintenance methods based on multimodal data. It also helps improve the matching between the constructed target model and the solution, thereby improving the stability and reliability of model operation and maintenance based on the solution. Furthermore, it can determine the target instance state type and the target abstract state type and then intelligently construct the target model, which helps improve the comprehensiveness, rationality, and scientific nature of the model construction method, thereby improving the model construction efficiency and reliability.

[0069] In another optional embodiment, the model building module 305 determines the target abstract state type based on all target instance state types, model building requirement information, and set abstract state determination conditions, specifically including the following methods: Based on the target instance state type and the set instance state abstraction conditions, determine the instance state abstraction definition, and based on the instance state abstraction definition and the set abstraction partitioning conditions, determine the instance state abstraction partitioning. Based on the instance state abstraction conditions, model construction requirements, and the set polymorphic relationship conditions, determine the target abstract state type.

[0070] It is evident that implementation Figure 4 The described device can also provide a method for determining abstract state types, which is conducive to improving the comprehensiveness and rationality of the method for determining abstract state types, thereby improving the accuracy, reliability and efficiency of the determined abstract state types, and thus improving the accuracy and reliability of the target model built based on the abstract state types, so as to improve the matching degree between the actual running effect and the prediction effect of the target model.

[0071] In another optional embodiment, the method by which the judgment module 302 determines whether the target model meets the preset operation and maintenance requirements based on the operation result information specifically includes: Monitor the actual operating performance of equipment that matches the target model, and determine the operating matching degree of the equipment based on the operating results and actual operating performance. Based on the operational matching degree and the set operational analysis conditions, determine the operational effectiveness of the target model; Determine whether the operational effectiveness is less than or equal to the preset operational effectiveness threshold; When it is determined that the operational effectiveness is less than or equal to the operational effectiveness threshold, the target model is determined to meet the preset operation and maintenance requirements. When the operational effectiveness is determined to be greater than the operational effectiveness threshold, it is determined that the target model does not meet the operational and maintenance requirements.

[0072] It is evident that implementation Figure 4The described device can also determine the operational effectiveness of the target model and determine the model's operational requirements condition satisfaction result based on the comparison between the operational effectiveness and the operational effectiveness threshold. This helps to improve the comprehensiveness, rationality, and feasibility of the method for determining the operational requirements condition satisfaction result, thereby improving the accuracy and reliability of the determined operational requirements condition satisfaction result, as well as improving the efficiency and convenience of determining the operational requirements condition satisfaction result.

[0073] In another optional embodiment, the method by which the determining module 303 determines the operation and maintenance analysis result corresponding to the target model based on the operation data, operation result information, and set operation and maintenance analysis conditions specifically includes: Analyze the operational data and results to obtain the operational and maintenance requirements corresponding to the target model; Based on the operational and maintenance requirements and the established operational and maintenance modality determination conditions, determine the operational and maintenance requirement modality type corresponding to the target model; the operational and maintenance requirement modality type includes at least one sub-instance type in the target instance type and / or at least one sub-abstract type in the target abstract type; Based on the modal type of operation and maintenance requirements, the operation and maintenance requirements, and the set modal operation and maintenance conditions, determine the operation and maintenance analysis results corresponding to the target model.

[0074] It is evident that implementation Figure 4 The described device can also provide a method for determining operation and maintenance analysis results, which helps to improve the comprehensiveness and rationality of the method for determining operation and maintenance analysis results, thereby improving the accuracy, reliability and efficiency of the determined operation and maintenance analysis results, and thus helping to improve the accuracy and efficiency of operation and maintenance based on the operation and maintenance analysis results.

[0075] In another optional embodiment, the method by which the determining module 303 determines the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions specifically includes: Based on the operational and maintenance requirements and the established first mode determination conditions, the target sub-abstract type is selected from all sub-abstract types included in the target abstract state type; Based on the target sub-abstract state type and operation and maintenance requirements, determine whether there is a target sub-instance state type among all the sub-instance state types included in the target instance state type that meets the set second modality determination conditions; When the judgment result is yes, the operation and maintenance requirement modality type corresponding to the target model is determined based on the target sub-abstract state type and the target sub-instance state type. When the judgment result is negative, the operation and maintenance requirement modality type corresponding to the target model is determined based on the target sub-abstract state type.

[0076] It is evident that implementation Figure 4The described device can also determine the matching operation and maintenance requirement mode type determination method according to the different modal determination conditions, intelligently determine the target sub-abstract state type and / or target sub-instance state type with operation and maintenance requirements, and then determine the operation and maintenance requirement mode type. This is conducive to improving the comprehensiveness and rationality of the operation and maintenance requirement mode type determination method, which in turn is conducive to improving the accuracy and reliability of the determined sub-instance state and / or sub-abstract state with operation and maintenance requirements, and also conducive to improving the diversity, flexibility and selectivity of the operation and maintenance requirement mode type determination method, thereby improving the accuracy, reliability and determination efficiency of the determined operation and maintenance requirement mode type.

[0077] In another optional embodiment, the determining module 303 is further configured to, after determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions, determine whether there is a target associated model in the associated model set that satisfies the associated operation and maintenance requirement conditions based on the operation and maintenance requirement mode type and the set model association relationship; the associated model set includes at least one associated model that has an association relationship with the target model; When it is determined that there is a target associated model in the associated model set that meets the associated operation and maintenance requirements, the model modal attribute information of the target associated model is obtained, and the associated operation and maintenance requirement modal type corresponding to the target associated model is determined based on the model modal attribute information, the operation and maintenance requirement modal type and the model association relationship. Based on the modal type and modal operation and maintenance conditions of the associated operation and maintenance requirements, determine the associated operation and maintenance analysis results corresponding to the target associated model; Based on the results of the associated operation and maintenance analysis, intelligent operation and maintenance operations are performed on the target associated model to obtain the target associated model after intelligent operation and maintenance.

[0078] It is evident that implementation Figure 4 The described device can also provide an intelligent operation and maintenance method for associated models related to the target model, which is conducive to improving the comprehensiveness and rationality of the intelligent operation and maintenance method based on multimodal data, enriching the intelligent functions of the intelligent operation and maintenance method based on multimodal data, and thus improving the real-time monitoring and timeliness of operation and maintenance requirements of associated models, thereby improving the overall operation and maintenance efficiency and overall operational stability of the model.

[0079] Example 4 Please see Figure 5 , Figure 5 This is a schematic diagram of another intelligent operation and maintenance device based on multimodal data disclosed in an embodiment of the present invention. Figure 5 The described apparatus may include a server, wherein the server includes a local server or a cloud server, and the embodiments of the present invention are not limited thereto. Figure 5 As shown, the device may include: Memory 401 storing executable program code; Processor 402 coupled to memory 401; Furthermore, it may also include an input interface 403 coupled to the processor 402 and an output interface 404; The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the intelligent operation and maintenance method based on multimodal data described in Embodiment 1 or Embodiment 2.

[0080] Example 5 This invention discloses a computer storage medium that stores a computer program for electronic data interchange, wherein the computer program causes a computer to execute the steps in the intelligent operation and maintenance method for a model based on multimodal data described in Embodiment 1 or Embodiment 2.

[0081] Example 6 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the intelligent operation and maintenance method based on multimodal data described in Embodiment 1 or Embodiment 2.

[0082] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0083] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0084] Finally, it should be noted that the intelligent operation and maintenance method and apparatus for models based on multimodal data disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A model-based intelligent power operation and maintenance method based on multimodal data, characterized in that, The method includes: Obtain the running result information corresponding to the pre-built target model, and determine whether the target model meets the preset operation and maintenance requirements based on the running result information; When it is determined that the target model meets the operation and maintenance requirements, the corresponding operation data of the target model is obtained, and the operation and maintenance analysis result of the target model is determined based on the operation data, the operation result information and the set operation and maintenance analysis conditions. Based on the operation and maintenance analysis results, intelligent operation and maintenance operations are performed on the target model to obtain the target model after intelligent operation and maintenance. Furthermore, before obtaining the running result information corresponding to the pre-built target model, the method further includes: Based on the obtained model building requirement information, the model building operation is performed to obtain the completed target model. The model building requirement information includes one or more of the following: basic attribute information, technical parameter information, asset data information, equipment operation-related data, and equipment operation and maintenance data of the equipment that matches the target model. And, the step of performing a model building operation based on the obtained model building requirement information to obtain the completed target model includes: Based on the obtained model building requirement information, determine the target instance state type; The target abstract state type is determined based on the target instance state type, the model construction requirement information, and the set abstract state determination conditions; Based on the target instance state type, the target abstract state type, and the set model construction requirements, the target model is constructed. The target instance state type includes multiple types such as running instance state type, healthy instance state type, load instance state type, and risky instance state type; the target abstract state type includes multiple types such as state abstract state type, phase abstract state type, and time abstract state type. And, determining the operation and maintenance analysis result corresponding to the target model based on the operation data, the operation result information, and the set operation and maintenance analysis conditions includes: By analyzing the operational data and the operational results, the operational and maintenance requirements corresponding to the target model can be obtained. Based on the operational and maintenance requirements and the set operational and maintenance modality determination conditions, the operational and maintenance requirement modality type corresponding to the target model is determined; the operational and maintenance requirement modality type includes at least one sub-instance type in the target instance type and / or at least one sub-abstract type in the target abstract type; Based on the operation and maintenance requirement modality type, the operation and maintenance requirement status, and the set modal operation and maintenance conditions, determine the operation and maintenance analysis results corresponding to the target model.

2. The intelligent power operation and maintenance method based on multimodal data according to claim 1, characterized in that, The step of determining the target abstract state type based on all the target instance state types, the model construction requirement information, and the set abstract state determination conditions includes: Based on the target instance state type and the set instance state abstraction conditions, determine the instance state abstraction definition, and based on the instance state abstraction definition and the set abstraction division conditions, determine the instance state abstraction division. Based on the instance state abstraction conditions, the model construction requirements, and the set polymorphic relationship conditions, the target abstract state type is determined.

3. The intelligent power operation and maintenance method based on multimodal data according to claim 2, characterized in that, The step of determining whether the target model meets the preset operation and maintenance requirements based on the operation result information includes: Monitor the actual operating performance of devices that match the target model, and determine the operating matching degree of the devices based on the operating results information and the actual operating performance. Based on the operational matching degree and the set operational analysis conditions, the operational effectiveness of the target model is determined. Determine whether the operational effectiveness is less than or equal to a preset operational effectiveness threshold; When it is determined that the operational effectiveness is less than or equal to the operational effectiveness threshold, the target model is determined to meet the preset operation and maintenance requirements. When it is determined that the operational effectiveness is greater than the operational effectiveness threshold, it is determined that the target model does not meet the operational and maintenance requirements.

4. The intelligent power operation and maintenance method based on multimodal data according to claim 1, characterized in that, The step of determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions includes: Based on the operational and maintenance requirements and the set first modality determination conditions, the target sub-abstract type is selected from all the sub-abstract types included in the target abstract state type; Based on the target sub-abstract state type and the operation and maintenance requirements, determine whether there is a target sub-instance state type among all the sub-instance state types included in the target instance state type that satisfies the set second modality determination conditions; When the judgment result is yes, the operation and maintenance requirement modality type corresponding to the target model is determined according to the target sub-abstract state type and the target sub-instance state type; If the judgment result is negative, the operation and maintenance requirement modality type corresponding to the target model is determined according to the target sub-abstract state type.

5. The intelligent power operation and maintenance method based on multimodal data according to claim 4, characterized in that, After determining the operation and maintenance requirement mode type corresponding to the target model based on the operation and maintenance requirements and the set operation and maintenance mode determination conditions, the method further includes: Based on the operation and maintenance requirement modality type and the set model association relationship, determine whether there is a target associated model in the associated model set that meets the associated operation and maintenance requirement conditions; the associated model set includes at least one associated model that has an association relationship with the target model; When it is determined that there is a target associated model in the associated model set that meets the associated operation and maintenance requirements, the model modal attribute information of the target associated model is obtained, and the associated operation and maintenance requirements modal type corresponding to the target associated model is determined according to the model modal attribute information, the operation and maintenance requirements modal type and the model association relationship. Based on the associated operation and maintenance requirement modal type and modal operation and maintenance conditions, determine the associated operation and maintenance analysis results corresponding to the target associated model; Based on the associated operation and maintenance analysis results, intelligent operation and maintenance operations are performed on the target associated model to obtain the target associated model after intelligent operation and maintenance.

6. A model-based intelligent power operation and maintenance device based on multimodal data, characterized in that, The apparatus is used to execute the model-based intelligent power operation and maintenance method based on multimodal data as described in any one of claims 1-5, and the apparatus comprises: The acquisition module is used to obtain the running result information corresponding to the pre-built target model; The judgment module is used to determine whether the target model meets the preset operation and maintenance requirements based on the operation result information. The acquisition module is further configured to acquire the running data corresponding to the target model when the judgment module determines that the target model meets the operation and maintenance requirements. The determination module is used to determine the operation and maintenance analysis result corresponding to the target model based on the operation data, the operation result information, and the set operation and maintenance analysis conditions. The operation and maintenance module is used to perform intelligent operation and maintenance operations on the target model based on the operation and maintenance analysis results, so as to obtain the target model after intelligent operation and maintenance.

7. A model-based intelligent power operation and maintenance device based on multimodal data, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the model-based intelligent power operation and maintenance method based on multimodal data as described in any one of claims 1-5.

8. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the model-based intelligent power operation and maintenance method based on multimodal data as described in any one of claims 1-5.

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