Fault work order processing method of integrated energy equipment and related device

Abstract

The invention discloses a fault work order processing method of integrated energy equipment and a related device, and relates to the field of fault maintenance of the integrated energy equipment, and the method comprises the steps: transmitting a fault parameter in a target fault work order to a target fault processing model, and obtaining a fault processing scheme corresponding to the target fault work order, and when the verification result of the fault processing scheme by the front end is inaccurate, performing online parameter adjustment optimization on the target fault processing model by using each historical fault work order record of which the fault parameter similarity with the fault parameter in the target fault work order is greater than a preset threshold. And obtaining a fault processing scheme corresponding to the target fault work order and output by the target fault processing model subjected to online parameter adjustment optimization, and displaying the fault processing scheme in the fault processing work order if the verification result of the fault processing scheme at the front end is accurate. According to the invention, the detection precision and elimination efficiency of the fault of the comprehensive energy equipment are improved.

Description

Technical Field

[0001] The present application relates to the technical field of comprehensive energy equipment fault inspection and repair, and in particular to a method for processing a fault work order of comprehensive energy equipment and related devices. Background Art

[0002] In order to improve the efficiency of troubleshooting for integrated energy equipment, digital work orders are usually used to notify operation and maintenance personnel to diagnose and troubleshoot faults. However, since digital work orders are only used to send basic fault parameters to operation and maintenance personnel and remind them to handle them in a timely manner, fault diagnosis and troubleshooting still need to rely on manual work, resulting in low detection accuracy and efficiency. Therefore, the existing technology pre-configures fault handling solutions that match the corresponding fault types in the digital work order system, and when the basic fault parameters match the fault type, the fault handling solutions that match the fault type are displayed in the digital work order to assist operation and maintenance personnel in quickly detecting and troubleshooting faults.

[0003] However, since integrated energy equipment is a complex system composed of a large number of single devices and subsystems, the causes of failures and the basic parameters involved are relatively complex. This results in the inability of existing technologies to provide accurate fault handling solutions when faced with equipment failures with unentered basic fault parameters or fault types, and manual fault detection is still required by operation and maintenance personnel, which reduces the accuracy and efficiency of fault detection. Therefore, how to improve the detection accuracy and elimination efficiency of integrated energy equipment failures has become an urgent problem to be solved. Summary of the invention

[0004] In view of the above problems, the present application provides a method and related device for processing fault work orders of integrated energy equipment to achieve the purpose of improving the detection accuracy and troubleshooting efficiency of integrated energy equipment faults. The specific scheme is as follows:

[0005] The first aspect of the present application provides a method for processing a fault work order of an integrated energy device, comprising:

[0006] Sending the fault parameters in the target fault work order to the target fault processing model, so that the target fault processing model outputs a fault processing solution corresponding to the target fault work order based on the fault parameters, and the target fault model is a fault processing model having a corresponding relationship with the fault device identifier in the fault parameters;

[0007] In the case where the front-end verification result of the fault handling solution is inaccurate, a plurality of historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold are obtained from the historical fault work order library; the target fault handling model is optimized online by using each of the historical fault work order records, and the historical fault work order records at least include historical fault parameters, historical fault types and historical fault handling solutions; the fault parameters in the target fault work order are imported into the target fault handling model after the online parameter adjustment optimization, and the fault handling solution corresponding to the target fault work order output by the target fault handling model after the online parameter adjustment optimization is obtained;

[0008] When the verification result of the fault handling solution by the front end is accurate, the fault handling solution is displayed in the fault handling work order corresponding to the target fault work order.

[0009] In a possible implementation, the online parameter optimization of the target fault processing model by using each of the historical fault work order records includes:

[0010] Based on the fault processing model identifier in the historical fault work order record, determine the fault processing model corresponding to each of the historical fault work order records, and the model architecture and initialization conditions of the fault processing model corresponding to each of the historical fault work order records are the same;

[0011] For each of the fault processing models: using each of the historical fault work order records to optimize the parameters of the fault processing model, and obtaining a model parameter group of the fault processing model after parameter optimization, wherein the model parameter group includes multiple types of model parameters;

[0012] The model parameters of the same type in each of the model parameter groups are averaged, and each model parameter in the target fault processing model is replaced with the average of the same type to complete the online parameter optimization of the target fault processing model.

[0013] In a possible implementation, the online parameter optimization of the target fault processing model by using each of the historical fault work order records includes:

[0014] Randomly divide each of the historical fault work order records into a training set and a test set;

[0015] For each of the historical fault work order records in the training set: inputting the historical fault parameters and historical fault types in the historical fault work order record into the target fault processing model, obtaining the training fault processing solution output by the target fault processing model, and performing online parameter adjustment on the model parameters of the target fault processing model based on the degree of difference between the historical fault processing solution in the historical fault work order record and the training fault processing solution;

[0016] For each of the historical fault work order records in the test set: inputting the historical fault parameters and historical fault types in the historical fault work order record into the target fault processing model, obtaining the test fault processing solution output by the target fault processing model, and online optimizing the model parameters of the target fault processing model based on the degree of difference between the historical fault processing solution in the historical fault work order record and the test fault processing solution;

[0017] When the target fault processing model after the online optimization meets the preset optimization end condition, the online parameter adjustment optimization of the target fault processing model is completed.

[0018] In a possible implementation, the method further includes:

[0019] In the case where the verification result of the fault handling solution by the front end is inaccurate, the fault parameters of other fault work orders in the preset fault work order processing queue that have not obtained the corresponding fault handling solution are suspended from being sent to the target fault handling model, and the time when the other fault work orders are added to the preset fault work order processing queue is later than the time when the target fault work order is added to the preset fault work order processing queue;

[0020] Upon receiving a trigger instruction for the target fault handling model to complete the online parameter optimization and upon obtaining the fault handling solution corresponding to the target fault work order, the fault parameters of the other fault work orders in the preset fault work order processing queue are sent to the target fault handling model that completes the online parameter optimization.

[0021] In a possible implementation, obtaining from a historical fault work order library a plurality of historical fault work order records having a similarity with a fault parameter in the target fault work order greater than a preset threshold includes:

[0022] According to the fault device identifier and / or fault type identifier in the fault parameters of the target fault work order, data is screened in the historical fault work order library, and the historical records with the fault device identifier and / or fault type identifier are selected as candidate records;

[0023] For each candidate record: calculating the similarity between the fault operation parameters in the candidate record and the fault operation parameters in the fault parameters of the target fault work order;

[0024] The candidate record whose similarity is greater than the preset threshold is determined as the historical fault work order record.

[0025] A second aspect of the present application provides a fault work order processing system for integrated energy equipment, comprising:

[0026] A fault processing module, used for sending the fault parameters in the target fault work order to a target fault processing model, so that the target fault processing model outputs a fault processing solution corresponding to the target fault work order based on the fault parameters, and the target fault model is a fault processing model having a corresponding relationship with the fault device identifier in the fault parameters;

[0027] A model optimization module is used to obtain, from a historical fault work order library, a plurality of historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold value when the front-end verification result of the fault handling solution is inaccurate; perform online parameter adjustment and optimization on the target fault handling model using each of the historical fault work order records, the historical fault work order records at least including historical fault parameters, historical fault types and historical fault handling solutions; import the fault parameters in the target fault work order into the target fault handling model after the online parameter adjustment and optimization, and obtain the fault handling solution corresponding to the target fault work order output by the target fault handling model after the online parameter adjustment and optimization;

[0028] The work order display module is used to display the fault handling solution in the fault handling work order corresponding to the target fault work order when the verification result of the fault handling solution by the front end is accurate.

[0029] In a possible implementation, when the model optimization module uses each of the historical fault work order records to perform online parameter optimization on the target fault processing model, the model optimization module is set to:

[0030] Based on the fault processing model identifier in the historical fault work order record, determine the fault processing model corresponding to each of the historical fault work order records, and the model architecture and initialization conditions of the fault processing model corresponding to each of the historical fault work order records are the same;

[0031] For each of the fault processing models: using each of the historical fault work order records to optimize the parameters of the fault processing model, and obtaining a model parameter group of the fault processing model after parameter optimization, wherein the model parameter group includes multiple types of model parameters;

[0032] The model parameters of the same type in each of the model parameter groups are averaged, and each model parameter in the target fault processing model is replaced with the average of the same type to complete the online parameter optimization of the target fault processing model.

[0033] In a possible implementation, when the model optimization module uses each of the historical fault work order records to perform online parameter optimization on the target fault processing model, the model optimization module is set to:

[0034] Randomly divide each of the historical fault work order records into a training set and a test set;

[0035] For each of the historical fault work order records in the training set: inputting the historical fault parameters and historical fault types in the historical fault work order record into the target fault processing model, obtaining the training fault processing solution output by the target fault processing model, and performing online parameter adjustment on the model parameters of the target fault processing model based on the degree of difference between the historical fault processing solution in the historical fault work order record and the training fault processing solution;

[0036] For each of the historical fault work order records in the test set: inputting the historical fault parameters and historical fault types in the historical fault work order record into the target fault processing model, obtaining the test fault processing solution output by the target fault processing model, and online optimizing the model parameters of the target fault processing model based on the degree of difference between the historical fault processing solution in the historical fault work order record and the test fault processing solution;

[0037] When the target fault processing model after the online optimization meets the preset optimization end condition, the online parameter adjustment optimization of the target fault processing model is completed.

[0038] In a possible implementation, the fault work order processing system further includes:

[0039] A queue pause module, used for suspending sending the fault parameters of other fault work orders in the preset fault work order processing queue that have not obtained the corresponding fault processing solution to the target fault processing model when the verification result of the front end on the fault processing solution is inaccurate, and the time when the other fault work orders are added to the preset fault work order processing queue is later than the time when the target fault work order is added to the preset fault work order processing queue;

[0040] The queue restart module is used to send the fault parameters of other fault work orders in the preset fault work order processing queue to the target fault handling model that completes the online parameter optimization upon receiving a trigger instruction for the target fault handling model to complete the online parameter optimization and obtaining the fault handling solution corresponding to the target fault work order.

[0041] In a possible implementation, when the model optimization module obtains multiple historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold from the historical fault work order library, the model optimization module is set to:

[0042] According to the fault device identifier and / or fault type identifier in the fault parameters of the target fault work order, data is screened in the historical fault work order library, and the historical records with the fault device identifier and / or fault type identifier are selected as candidate records;

[0043] For each candidate record: calculating the similarity between the fault operation parameters in the candidate record and the fault operation parameters in the fault parameters of the target fault work order;

[0044] The candidate record whose similarity is greater than the preset threshold is determined as the historical fault work order record.

[0045] The third aspect of the present application provides a computer program product, including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements the fault work order processing method for integrated energy equipment according to the first aspect or any implementation method of the first aspect.

[0046] A fourth aspect of the present application provides an electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0047] The memory is used to store computer programs;

[0048] The processor is used to execute the computer program so that the electronic device can implement the fault work order processing method for integrated energy equipment according to the above-mentioned first aspect or any implementation method of the first aspect.

[0049] A fifth aspect of the present application provides a computer storage medium, which carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the fault work order processing method for integrated energy equipment according to the above-mentioned first aspect or any implementation method of the first aspect.

[0050] By means of the above technical solution, the present application provides a method and related device for processing a fault work order for integrated energy equipment, which configures the fault parameters in the target fault work order to be sent to the target fault processing model, so that the target fault processing model outputs a fault processing solution corresponding to the target fault work order based on the fault parameters, so that compared with the method of pre-configuring the matching relationship between the basic fault parameters, the fault type and the fault processing solution, the detection accuracy of the fault without entering the fault type or basic fault parameters is improved, while avoiding the problem of reduced detection efficiency caused by manual detection. Subsequently, by configuring the verification result of the fault type and the fault processing solution output by the target fault model at the front end to be inaccurate, the target fault processing model is optimized by online parameter adjustment using the historical fault work order records whose fault parameter similarity with the target fault work order is greater than the preset threshold, while avoiding the existing artificial intelligence model that requires developers to perform offline parameter adjustment, resulting in the interruption of the operation of the digital work order system, and improving the accuracy of the fault processing solution output by the target fault processing model. Finally, by configuring the front-end to verify the fault type and fault handling solution and to display the fault handling solution in the fault handling work order, the operation and maintenance personnel can quickly eliminate the equipment fault based on the fault handling solution displayed in the fault handling work order, thereby improving the troubleshooting efficiency. It can be seen that this application improves the detection accuracy and troubleshooting efficiency of comprehensive energy equipment faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0052] Figure 1 A schematic diagram of a system architecture provided for this application;

[0053] Figure 2 A schematic diagram of the hardware structure of a terminal provided in this application;

[0054] Figure 3 A schematic diagram of the structure of a server provided for this application;

[0055] Figure 4 A flowchart of a method for processing a fault work order of an integrated energy device provided in this application;

[0056] Figure 5 A flowchart of a method for processing a fault work order of an integrated energy device is provided for a possible implementation of the present application;

[0057] Figure 6 A block diagram of a fault work order processing system for integrated energy equipment provided in this application;

[0058] Figure 7 A schematic diagram of the structure of an electronic device provided in this application. DETAILED DESCRIPTION

[0059] The following describes the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. The terms used in the implementation method section of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.

[0060] The embodiments of the present application are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0061] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, which is only to describe the distinction mode adopted by the objects of the same attributes when describing in the embodiments of the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment comprising a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0062] See also Figure 1 , Figure 1 A schematic diagram of a system architecture is shown. The system may include a terminal 100 and a server 200. The server 200 may include one or more servers ( Figure 1 In the example, a server is included, and the server 200 can provide the method provided in the embodiment of the present application for one or more terminals.

[0063] Among them, the terminal 100 can be installed with an application for executing the fault work order processing method provided in the present application. The above application and web page can provide an interface. The terminal 100 can receive relevant parameters entered by the user on the human-computer interaction interface and send the above parameters to the server 200. The server 200 can obtain the processing results based on the received parameters and return the processing results to the terminal 100.

[0064] It should be understood that in some optional implementations, the terminal 100 can also complete the action of obtaining the processing result based on the received parameters by itself without the cooperation of the server, and the embodiments of the present application are not limited to this.

[0065] Next describe Figure 1The product form of the mid-terminal 100;

[0066] The terminal 100 in the embodiment of the present application can be a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc., and the embodiment of the present application does not impose any limitation on this.

[0067] Figure 2 An optional hardware structure diagram of the terminal 100 is shown.

[0068] refer to Figure 2 As shown, the terminal 100 may include a radio frequency unit 110, a memory 120, an input unit 130, a display unit 140, a camera 150 (optional), an audio circuit 160 (optional), a speaker 161 (optional), a microphone 162 (optional), an earphone jack 163 (optional), a processor 170, an external interface 180, a power supply 190 and other components. Those skilled in the art will appreciate that Figure 2 These are merely examples of terminals or multi-function devices and do not constitute limitations on the terminals or multi-function devices, which may include more or fewer components than those shown in the figures, or combinations of certain components, or different components.

[0069] The input unit 130 can be used to receive input digital or character information, and generate key signal input related to the user settings and function control of the portable multifunctional device. Specifically, the input unit 130 may include a touch screen 131 (optional) and / or other input devices 132. The touch screen 131 can collect the user's touch operations on or near it (such as the user's operation on or near the touch screen using any suitable object such as fingers, joints, stylus, etc.), and drive the corresponding connection device according to a pre-set program. The touch screen can detect the user's touch action on the touch screen, convert the touch action into a touch signal and send it to the processor 170, and can receive and execute the command sent by the processor 170; the touch signal at least includes the touch point coordinate information. The touch screen 131 can provide an input interface and an output interface between the terminal 100 and the user. In addition, the touch screen can be implemented using multiple types such as resistive, capacitive, infrared and surface acoustic wave. In addition to the touch screen 131, the input unit 130 can also include other input devices. Specifically, other input devices 132 may include, but are not limited to, one or more of a physical keyboard, function keys (such as a volume control key, a switch key, etc.), a trackball, a mouse, a joystick, and the like.

[0070] Among them, the input device 132 can receive input data and the like.

[0071] The display unit 140 can be used to display information input by the user or information provided to the user, various menus of the terminal 100, interactive interfaces, file display and / or playback of any multimedia file. In the embodiment of the present application, the display unit 140 can be used to display a fault handling solution.

[0072] The memory 120 can be used to store instructions and data. The memory 120 can mainly include an instruction storage area and a data storage area. The data storage area can store various data, such as multimedia files, texts, etc.; the instruction storage area can store software units such as operating systems, applications, instructions required for at least one function, or their subsets and extensions. It can also include a non-volatile random access memory; provide the processor 170 with hardware, software and data resources including management of computing and processing equipment, and support control software and applications. It is also used for the storage of multimedia files, and the storage of running programs and applications.

[0073] The processor 170 is the control center of the terminal 100. It uses various interfaces and lines to connect various parts of the entire terminal 100. By running or executing instructions stored in the memory 120 and calling data stored in the memory 120, it executes various functions of the terminal 100 and processes data, thereby controlling the terminal device as a whole. Optionally, the processor 170 may include one or more processing units; preferably, the processor 170 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application program, and the modem processor mainly processes wireless communication. It is understandable that the above-mentioned modem processor may not be integrated into the processor 170. In some embodiments, the processor and the memory may be implemented on a single chip, and in some embodiments, they may also be implemented separately on separate chips. The processor 170 may also be used to generate corresponding operation control signals, send them to corresponding components of the computing and processing device, read and process data in the software, especially read and process data and programs in the memory 120, so that each functional module therein performs corresponding functions, thereby controlling the corresponding components to act according to the requirements of the instructions.

[0074] Among them, the memory 120 can be used to store software codes related to the fault work order processing method provided in the present application, the processor 170 can execute the steps of a fault work order processing method provided in the first aspect of the present application, and can also schedule other units (such as the above-mentioned input unit 130 and the display unit 140) to realize corresponding functions.

[0075] The radio frequency unit 110 (optional) can be used for receiving and sending information or receiving and sending signals during a call, for example, after receiving the downlink information of the base station, it is sent to the processor 170 for processing; in addition, the designed uplink data is sent to the base station. Generally, the RF circuit includes but is not limited to an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (Low Noise Amplifier, LNA), a duplexer, etc. In addition, the radio frequency unit 110 can also communicate with network devices and other devices through wireless communication. The wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile communication (Global System of Mobile communication, GSM), General Packet Radio Service (General Packet Radio Service, GPRS), Code Division Multiple Access (Code Division Multiple Access, CDMA), Wideband Code Division Multiple Access (Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution, LTE), email, Short Messaging Service (SMS), etc.

[0076] In this embodiment of the present application, the RF unit 110 can send data to the server 200 and receive processing results sent by the server 200.

[0077] It should be understood that the radio frequency unit 110 is optional and can be replaced by other communication interfaces, such as a network port.

[0078] The terminal 100 also includes a power supply 190 (such as a battery) for supplying power to various components. Preferably, the power supply can be logically connected to the processor 170 through a power management system, so that the power management system can manage functions such as charging, discharging, and power consumption.

[0079] The terminal 100 further includes an external interface 180 , which may be a standard Micro USB interface or a multi-pin connector, and may be used to connect the terminal 100 to communicate with other devices, or to connect a charger to charge the terminal 100 .

[0080] Although not shown, the terminal 100 may also include a flashlight, a wireless fidelity (WiFi) module, a Bluetooth module, sensors with different functions, etc., which are not described in detail here. Some or all of the methods described below may be applied in the following embodiments. Figure 2 In the terminal 100 shown.

[0081] Next describe Figure 1 The product form of the server 200;

[0082] Figure 3 A structural diagram of a server 200 is provided, such as Figure 3 As shown, the server 200 includes a bus 201, a processor 202, a communication interface 203, and a memory 204. The processor 202, the memory 204, and the communication interface 203 communicate with each other via the bus 201.

[0083] The bus 201 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0084] The processor 202 may be any one or more of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP), or a digital signal processor (DSP).

[0085] The memory 204 may include a volatile memory, such as a random access memory (RAM). The memory 204 may also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid state drive (SSD).

[0086] Among them, the memory 204 can be used to store software codes related to the fault work order processing method provided in the present application, the processor 202 can execute the steps of the chip to execute the fault work order processing method provided in the present application, and can also schedule other units to implement corresponding functions.

[0087] It should be understood that the above-mentioned terminal 100 and server 200 can be centralized or distributed devices, and the processors in the above-mentioned terminal 100 and server 200 (such as processor 170 and processor 202) can be hardware circuits (such as application specific integrated circuit (ASIC), field-programmable gate array (FPGA), general-purpose processor, digital signal processor (DSP), microprocessor or microcontroller, etc.), or a combination of these hardware circuits. For example, the processor can be a hardware system with an instruction execution function, such as a CPU, DSP, etc., or a hardware system without an instruction execution function, such as an ASIC, FPGA, etc., or a combination of the above-mentioned hardware systems without an instruction execution function and hardware systems with an instruction execution function.

[0088] The first aspect of the present application provides a method for processing a fault work order of an integrated energy device, such as Figure 4 As shown, the fault work order processing method of the integrated energy equipment includes:

[0089] S401. Send the fault parameters in the target fault work order to the target fault processing model, so that the target fault processing model outputs a fault processing solution corresponding to the target fault work order based on the fault parameters. The target fault model is a fault processing model that has a corresponding relationship with the fault device identifier in the fault parameters.

[0090] It should be noted that, in actual application scenarios, there are multiple ways to obtain the fault parameters of the target fault work order. An exemplary method is provided here, including the following steps A1 to A3.

[0091] Step A1: When the fault detection device detects that the operating parameters of the target detected device are not within the preset normal operating parameter range, the fault detection device records the fault operating parameters of the target detected device within a preset time period, and triggers step A2.

[0092] In a possible implementation, the above-mentioned fault detection device may be a device composed of a sensor and a storage medium, and used to collect operating parameters of the detected device.

[0093] In step A2, the fault detection device identifies the fault operation parameters based on the preset fault type comparison table, determines the fault type identifier of the target detected device, and triggers step A3.

[0094] In step A3, the fault detection device uses the device identifier of the target detected device as the fault device identifier, and uses the fault device identifier, fault type identifier and fault operation parameters as the fault parameters of the target detected device, and sends them to the acceptance unit of the digital work order system through a preset interface, so that the acceptance unit generates a target fault work order according to the fault parameters.

[0095] It should be noted that in actual application scenarios, there are many types of the above fault handling models, including but not limited to: deep learning models, decision trees, support vector machines, random forests, etc. This application does not make too many restrictions and redundant descriptions on the specific types and model architectures of the above fault handling models.

[0096] It should be noted that the present application configures the fault parameters in the target fault work order to be sent to the target fault handling model, so that the target fault handling model outputs a fault handling plan corresponding to the target fault work order based on the fault parameters, so that operation and maintenance personnel can troubleshoot based on the fault handling plan, omitting the step of manual fault detection and improving the efficiency of fault elimination.

[0097] S402. When the verification result of the fault handling solution at the front end is inaccurate, obtain multiple historical fault work order records from the historical fault work order library, whose similarity with the fault parameters in the target fault work order is greater than a preset threshold; use each historical fault work order record to perform online parameter optimization on the target fault handling model, and the historical fault work order records at least include historical fault parameters, historical fault types and historical fault handling solutions; import the fault parameters in the target fault work order into the target fault handling model that has been optimized through online parameter adjustment, and obtain the fault handling solution corresponding to the target fault work order output by the target fault handling model that has been optimized through online parameter adjustment.

[0098] It should be noted that in actual application scenarios, the above verification results of the fault handling solution can be displayed on the front-end human-computer interaction interface, and the results are generated by the administrator operating the front-end. This application improves the accuracy of the output fault handling solution by configuring the front-end to feedback the verification results of the fault handling solution.

[0099] It should be noted that, in actual application scenarios, the above-mentioned historical fault work order library can be a database for storing the operation log of the digital work order system.

[0100] It should be noted that in actual application scenarios, in order to shorten the online parameter optimization time and improve the accuracy of online parameter optimization, the above-mentioned historical fault work order records can be screened from the historical fault work order records within a historical period that is no more than a preset time from the generation time of the target fault work order.

[0101] It should be noted that in actual application scenarios, most of the existing fault handling models are trained by developers before the digital work order system goes online. However, due to factors such as model decay, model obsolescence, and data drift, the output accuracy of the fault handling model decreases after running for a period of time. At this time, the developer needs to take the fault handling model offline and select a large amount of training data for retraining. This will cause the digital work order system to be interrupted because the fault handling model cannot be put back online in a short period of time. The present application optimizes the target fault handling model online by configuring historical fault work order records whose fault parameter similarity with the target fault work order is greater than a preset threshold. While improving the output accuracy of the target fault handling model, it avoids the problem of long-term interruption of the digital work order system.

[0102] S403: When the front-end verifies that the fault handling solution is accurate, the fault handling solution is displayed in the fault handling work order corresponding to the target fault work order.

[0103] It should be noted that the present application configures the front-end to verify the fault type and fault handling solution and display them in the fault handling work order if the result is accurate. This allows operation and maintenance personnel to quickly eliminate equipment faults based on the fault type and fault handling solution displayed in the fault handling work order, thereby improving troubleshooting efficiency.

[0104] This application configures the fault parameters in the target fault work order to be sent to the target fault processing model, so that the target fault processing model outputs the fault processing scheme corresponding to the target fault work order based on the fault parameters, so that compared with the method of pre-configuring the matching relationship between the basic fault parameters, fault type and fault processing scheme, the detection accuracy of the fault without entering the fault type or basic fault parameters is improved, and the problem of reduced detection efficiency caused by manual detection is avoided. Subsequently, by configuring the front end to verify the fault type and fault processing scheme output by the target fault model is inaccurate, the target fault processing model is optimized online by using the historical fault work order record whose similarity with the fault parameter of the target fault work order is greater than the preset threshold, while avoiding the existing artificial intelligence model requires developers to perform offline parameter adjustment, which causes the digital work order system to interrupt operation, and improves the accuracy of the fault processing scheme output by the target fault processing model. Finally, by configuring the front end to verify the fault type and fault processing scheme is accurate, the fault processing scheme is displayed in the fault processing work order, so that the operation and maintenance personnel can quickly eliminate the equipment fault based on the fault processing scheme displayed in the fault processing work order, thereby improving the troubleshooting efficiency. It can be seen that the present application improves the detection accuracy and troubleshooting efficiency of comprehensive energy equipment faults.

[0105] In a possible implementation, each historical fault work order record is used to perform online parameter adjustment and optimization of the target fault processing model, including:

[0106] Based on the fault processing model identifier in the historical fault work order record, the fault processing model corresponding to each historical fault work order record is determined, and the model architecture and initialization conditions of the fault processing model corresponding to each historical fault work order record are the same;

[0107] For each fault processing model: use each historical fault work order record to optimize the parameters of the fault processing model, and obtain a model parameter group of the fault processing model after parameter adjustment and optimization, the model parameter group includes multiple types of model parameters;

[0108] The model parameters of the same type in each model parameter group are averaged, and each model parameter in the target fault processing model is replaced with the average of the same type to complete the online parameter optimization of the target fault processing model.

[0109] It should be noted that in actual application scenarios, since the integrated energy equipment may include multiple subsystems or single devices with the same functions and similar configurations, it is necessary to configure a fault handling model with the same model architecture and initialization conditions for the above-mentioned subsystems or single devices. And since the historical fault work order record is a record of successful execution, this indicates that the output accuracy of the fault handling model corresponding to the historical fault work order record still meets the system requirements. Therefore, the present application optimizes the parameters of each fault handling model by configuring each historical fault work order record, thereby obtaining multiple model parameter groups of fault handling models that have been optimized in a short time, and then using the same type of model parameters in each model parameter group to replace the parameters of the target fault handling model, thereby improving the optimization accuracy of the target fault handling model while eliminating the need to use a large amount of training data to train the target fault handling model, thereby shortening the optimization time of the target fault handling model.

[0110] In a possible implementation, each historical fault work order record is used to perform online parameter adjustment and optimization of the target fault processing model, including:

[0111] Randomly divide each historical fault work order record into a training set and a test set;

[0112] For each historical fault work order record in the training set: input the historical fault parameters and historical fault types in the historical fault work order record into the target fault handling model, obtain the training fault handling solution output by the target fault handling model, and adjust the model parameters of the target fault handling model online based on the difference between the historical fault handling solution in the historical fault work order record and the training fault handling solution;

[0113] For each historical fault work order record in the test set: input the historical fault parameters and historical fault types in the historical fault work order record into the target fault handling model, obtain the test fault handling solution output by the target fault handling model, and optimize the model parameters of the target fault handling model online based on the difference between the historical fault handling solution in the historical fault work order record and the test fault handling solution;

[0114] When the online optimized target fault processing model meets the preset optimization end condition, the online parameter adjustment optimization of the target fault processing model is completed.

[0115] It should be noted that in actual application scenarios, since historical fault work order records are records of successful execution, the data representing the historical fault work order records are more accurate. Therefore, the present application randomly divides each historical fault work order record into a training set and a test set through configuration, and uses the training set and the test set to perform online parameter optimization on the target fault processing model, thereby utilizing high-quality training sets and test sets to shorten the parameter optimization time of the target fault processing model while improving the accuracy of the parameter optimization of the target fault processing model.

[0116] In one possible implementation, the above Figure 4 The fault work order processing method of the integrated energy equipment shown also includes:

[0117] If the front-end verifies that the fault handling solution is inaccurate, the fault parameters of other fault tickets in the preset fault ticket processing queue that do not have the corresponding fault handling solution are suspended from being sent to the target fault handling model, and the time when other fault tickets are added to the preset fault ticket processing queue is later than the time when the target fault ticket is added to the preset fault ticket processing queue;

[0118] When a trigger instruction is received indicating that the target fault handling model has completed online parameter optimization, and a fault handling solution corresponding to the target fault ticket is obtained, the fault parameters of other fault tickets in the preset fault ticket processing queue are sent to the target fault handling model that has completed online parameter optimization.

[0119] It should be noted that in actual application scenarios, the above-mentioned preset fault work order processing queue is a message queue for receiving and temporarily storing fault work orders. This application is configured to suspend the execution of unexecuted fault work orders in the preset fault work order processing queue when the verification result of the fault handling solution is inaccurate at the front end, and when receiving a trigger instruction for the target fault handling model to complete online parameter optimization, and when the fault handling solution corresponding to the target fault work order is obtained, the fault parameters of other fault work orders in the preset fault work order processing queue are sent to the target fault handling model that has completed online parameter optimization, thereby avoiding the risk that the target fault handling model cannot execute the fault work order during the parameter optimization process, and the target fault handling model misses the execution of the target fault work order after the parameter optimization is completed.

[0120] In a possible implementation, a plurality of historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold are obtained from the historical fault work order library, including:

[0121] According to the fault equipment identifier and / or fault type identifier in the fault parameters of the target fault work order, data is screened in the historical fault work order library, and historical records with the fault equipment identifier and / or fault type identifier are selected as candidate records;

[0122] For each candidate record: calculating the similarity between the fault operation parameters in the candidate record and the fault operation parameters in the fault parameters of the target fault work order;

[0123] The candidate records with similarity greater than a preset threshold are determined as historical fault work order records.

[0124] In order to facilitate the above Figure 4 The understanding of the method for processing a fault work order of the integrated energy equipment is explained here in conjunction with a possible implementation of the present application:

[0125] like Figure 5 The figure shows a flow chart of a method for processing a fault work order of a comprehensive energy device. The specific operation steps are as follows:

[0126] Step S501: when it is detected that the detected device is operating abnormally, a fault work order is generated based on the collected fault parameters of the detected device, and the fault work order is imported into a preset fault work order processing queue, and step S502 is triggered.

[0127] Step S502: a fault work order in the preset fault work order processing queue that meets the preset execution condition is determined as a target fault work order, and step S503 is triggered.

[0128] In a possible implementation, the preset execution condition in the above step S502 may be the highest fault risk level or the earliest queue entry time.

[0129] Step S503, determining whether there is a target fault processing model that has a corresponding relationship with the fault device identifier in the fault parameters of the target fault work order, if so, triggering step S504, if not, triggering step S505.

[0130] Step S504: input the fault parameters of the target fault work order into the target fault processing model to obtain the fault processing solution corresponding to the target fault work order, and trigger step S506.

[0131] Step S505: send the target fault work order to the terminal, and delete the target fault work order from the preset fault work order processing queue, and trigger step S502.

[0132] Step S506: Display the fault handling solution on the front end and obtain the verification result, which triggers step S507.

[0133] Step S507, determine whether the content of the verification result is accurate. If so, step S508 is triggered, if not, step S509 is triggered.

[0134] Step S508: Generate a fault handling work order based on the fault handling solution, and send the fault handling work order to the terminal, and trigger step S510.

[0135] Step S509: Optimize the target fault processing model online based on multiple historical fault work orders whose similarity to the fault parameters of the target fault work order is greater than a preset threshold, and output a trigger instruction after the parameter optimization is completed. Trigger step S504.

[0136] Step S510: Delete the target fault ticket from the preset fault ticket processing queue, and trigger step S502.

[0137] The second aspect of the present application provides a fault work order processing system, such as Figure 6 As shown, the fault work order processing system includes:

[0138] A fault processing module 601 is used to send the fault parameters in the target fault work order to the target fault processing model, so that the target fault processing model outputs a fault processing solution corresponding to the target fault work order based on the fault parameters, and the target fault model is a fault processing model having a corresponding relationship with the fault device identifier in the fault parameters;

[0139] The model optimization module 602 is used to obtain multiple historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold from the historical fault work order library when the verification result of the fault handling solution by the front end is inaccurate; use each historical fault work order record to perform online parameter adjustment optimization on the target fault handling model, and the historical fault work order record at least includes historical fault parameters, historical fault types and historical fault handling solutions; import the fault parameters in the target fault work order into the target fault handling model after online parameter adjustment optimization, and obtain the fault handling solution corresponding to the target fault work order output by the target fault handling model after online parameter adjustment optimization;

[0140] The work order display module 603 is used to display the fault handling solution in the fault handling work order corresponding to the target fault work order when the verification result of the fault handling solution by the front end is accurate.

[0141] In a possible implementation, the model optimization module 602 is set to:

[0142] Based on the fault processing model identifier in the historical fault work order record, the fault processing model corresponding to each historical fault work order record is determined, and the model architecture and initialization conditions of the fault processing model corresponding to each historical fault work order record are the same;

[0143] For each fault processing model: use each historical fault work order record to optimize the parameters of the fault processing model, and obtain a model parameter group of the fault processing model after parameter adjustment and optimization, the model parameter group includes multiple types of model parameters;

[0144] The model parameters of the same type in each model parameter group are averaged, and each model parameter in the target fault processing model is replaced with the average of the same type to complete the online parameter optimization of the target fault processing model.

[0145] In a possible implementation, the model optimization module 602 is set to:

[0146] Randomly divide each historical fault work order record into a training set and a test set;

[0147] For each historical fault work order record in the training set: input the historical fault parameters and historical fault types in the historical fault work order record into the target fault handling model, obtain the training fault handling solution output by the target fault handling model, and adjust the model parameters of the target fault handling model online based on the difference between the historical fault handling solution in the historical fault work order record and the training fault handling solution;

[0148] For each historical fault work order record in the test set: input the historical fault parameters and historical fault types in the historical fault work order record into the target fault handling model, obtain the test fault handling solution output by the target fault handling model, and optimize the model parameters of the target fault handling model online based on the difference between the historical fault handling solution in the historical fault work order record and the test fault handling solution;

[0149] When the online optimized target fault processing model meets the preset optimization end condition, the online parameter adjustment optimization of the target fault processing model is completed.

[0150] In one possible implementation, the above Figure 6 The fault work order processing system of the comprehensive energy equipment shown also includes:

[0151] The queue pause module is used to suspend sending the fault parameters of other fault work orders in the preset fault work order processing queue that have not obtained the corresponding fault processing solution to the target fault processing model when the verification result of the fault processing solution by the front end is inaccurate. The time when other fault work orders are added to the preset fault work order processing queue is later than the time when the target fault work order is added to the preset fault work order processing queue;

[0152] The queue restart module is used to send the fault parameters of other fault tickets in the preset fault ticket processing queue to the target fault handling model that has completed online parameter optimization upon receiving a trigger instruction indicating that the target fault handling model has completed online parameter optimization and obtaining the fault handling solution corresponding to the target fault ticket.

[0153] In a possible implementation, when the model optimization module 602 obtains multiple historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold from the historical fault work order library, it is set to:

[0154] According to the fault equipment identifier and / or fault type identifier in the fault parameters of the target fault work order, data is screened in the historical fault work order library, and historical records with the fault equipment identifier and / or fault type identifier are selected as candidate records;

[0155] For each candidate record: calculating the similarity between the fault operation parameters in the candidate record and the fault operation parameters in the fault parameters of the target fault work order;

[0156] The candidate records with similarity greater than a preset threshold are determined as historical fault work order records.

[0157] The third aspect of the present application provides a computer program product, including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements the fault work order processing method for integrated energy equipment according to the first aspect or any implementation method of the first aspect.

[0158] A fourth aspect of the present application provides an electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0159] The memory is used to store computer programs;

[0160] The processor is used to execute a computer program so that the electronic device can implement the fault work order processing method for the integrated energy equipment according to the above-mentioned first aspect or any implementation method of the first aspect.

[0161] A fifth aspect of the present application provides a computer storage medium, which carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the fault work order processing method for integrated energy equipment according to the above-mentioned first aspect or any implementation method of the first aspect.

[0162] A structural schematic diagram of an electronic device provided in the fourth aspect of the present application is as follows Figure 7 The electronic devices in the embodiments of the present application may include but are not limited to fixed terminals such as mobile phones, notebook computers, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, and the like. Figure 7 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0163] like Figure 7 As shown, the electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage device 708 to a random access memory (RAM) 703. When the electronic device is powered on, various programs and data required for the operation of the electronic device are also stored in the RAM 703. The processing device 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0164] Typically, the following devices may be connected to the I / O interface 705: an input device 706 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 707 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 708 including, for example, a memory card, a hard disk, etc.; and a communication device 709. The communication device 709 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although Figure 7 An electronic device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0165] It should also be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines.

[0166] Through the description of the above implementation mode, the technicians in the field can clearly understand that the present application can be implemented by means of software plus necessary general hardware, and of course, it can also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components, etc. In general, all functions completed by computer programs can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be various, such as analog circuits, digital circuits or special circuits. However, for the present application, software program implementation is a better implementation mode in more cases. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer floppy disk, a U disk, a mobile hard disk, a ROM, a RAM, a disk or an optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, a training device, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0167] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.

[0168] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a training device, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, training device, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device, a data center, etc. that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

Claims

1. A method for processing a fault work order of a comprehensive energy device, characterized in that: include: Sending the fault parameters in the target fault work order to the target fault processing model, so that the target fault processing model outputs a fault processing solution corresponding to the target fault work order based on the fault parameters, and the target fault model is a fault processing model having a corresponding relationship with the fault device identifier in the fault parameters; When the front-end verification result of the fault handling solution is inaccurate, multiple historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold are obtained from the historical fault work order library; the target fault handling model is optimized online by using each of the historical fault work order records, and the historical fault work order records at least include historical fault parameters, historical fault types and historical fault handling solutions; Importing the fault parameters in the target fault work order into the target fault processing model after the online parameter adjustment optimization, and obtaining the fault processing solution corresponding to the target fault work order output by the target fault processing model after the online parameter adjustment optimization; When the verification result of the fault handling solution by the front end is accurate, the fault handling solution is displayed in the fault handling work order corresponding to the target fault work order.

2. The method for processing a fault work order according to claim 1, characterized in that: The online parameter adjustment and optimization of the target fault processing model by using each of the historical fault work order records includes: Based on the fault processing model identifier in the historical fault work order record, determine the fault processing model corresponding to each of the historical fault work order records, and the model architecture and initialization conditions of the fault processing model corresponding to each of the historical fault work order records are the same; For each of the fault processing models: using each of the historical fault work order records to optimize the parameters of the fault processing model, and obtaining a model parameter group of the fault processing model after parameter optimization, wherein the model parameter group includes multiple types of model parameters; The model parameters of the same type in each of the model parameter groups are averaged, and each model parameter in the target fault processing model is replaced with the average of the same type to complete the online parameter optimization of the target fault processing model.

3. The method for processing a fault work order according to claim 1, characterized in that: The online parameter adjustment and optimization of the target fault processing model by using each of the historical fault work order records includes: Randomly divide each of the historical fault work order records into a training set and a test set; For each of the historical fault work order records in the training set: inputting the historical fault parameters and historical fault types in the historical fault work order record into the target fault processing model, obtaining the training fault processing solution output by the target fault processing model, and performing online parameter adjustment on the model parameters of the target fault processing model based on the degree of difference between the historical fault processing solution in the historical fault work order record and the training fault processing solution; For each of the historical fault work order records in the test set: inputting the historical fault parameters and historical fault types in the historical fault work order record into the target fault processing model, obtaining the test fault processing solution output by the target fault processing model, and online optimizing the model parameters of the target fault processing model based on the degree of difference between the historical fault processing solution in the historical fault work order record and the test fault processing solution; When the target fault processing model after the online optimization meets the preset optimization end condition, the online parameter adjustment optimization of the target fault processing model is completed.

4. The method for processing a fault work order according to claim 1, characterized in that: The method further comprises: In the case where the verification result of the fault handling solution by the front end is inaccurate, the fault parameters of other fault work orders in the preset fault work order processing queue that have not obtained the corresponding fault handling solution are suspended from being sent to the target fault handling model, and the time when the other fault work orders are added to the preset fault work order processing queue is later than the time when the target fault work order is added to the preset fault work order processing queue; Upon receiving a trigger instruction for the target fault handling model to complete the online parameter optimization and upon obtaining the fault handling solution corresponding to the target fault work order, the fault parameters of the other fault work orders in the preset fault work order processing queue are sent to the target fault handling model that completes the online parameter optimization.

5. The method for processing a fault work order according to claim 1, characterized in that: The acquiring, from a historical fault work order library, a plurality of historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold value comprises: According to the fault device identifier and / or fault type identifier in the fault parameters of the target fault work order, data is screened in the historical fault work order library, and the historical records with the fault device identifier and / or fault type identifier are selected as candidate records; For each candidate record: calculating the similarity between the fault operation parameters in the candidate record and the fault operation parameters in the fault parameters of the target fault work order; The candidate record whose similarity is greater than the preset threshold is determined as the historical fault work order record.

6. A fault work order processing system for integrated energy equipment, characterized in that: include: A fault processing module, used for sending the fault parameters in the target fault work order to a target fault processing model, so that the target fault processing model outputs a fault processing solution corresponding to the target fault work order based on the fault parameters, and the target fault model is a fault processing model having a corresponding relationship with the fault device identifier in the fault parameters; A model optimization module is used to obtain, from a historical fault work order library, a plurality of historical fault work order records whose similarity with the fault parameters in the target fault work order is greater than a preset threshold value when the front-end verification result of the fault handling solution is inaccurate; and to perform online parameter adjustment optimization on the target fault handling model using each of the historical fault work order records, wherein the historical fault work order records include at least historical fault parameters, historical fault types, and historical fault handling solutions; Importing the fault parameters in the target fault work order into the target fault processing model after the online parameter adjustment optimization, and obtaining the fault processing solution corresponding to the target fault work order output by the target fault processing model after the online parameter adjustment optimization; The work order display module is used to display the fault handling solution in the fault handling work order corresponding to the target fault work order when the verification result of the fault handling solution by the front end is accurate.

7. The fault work order processing system according to claim 6, characterized in that: The fault work order processing system also includes: A queue pause module, used for suspending sending the fault parameters of other fault work orders in the preset fault work order processing queue that have not obtained the corresponding fault processing solution to the target fault processing model when the verification result of the front end on the fault processing solution is inaccurate, and the time when the other fault work orders are added to the preset fault work order processing queue is later than the time when the target fault work order is added to the preset fault work order processing queue; The queue restart module is used to send the fault parameters of other fault work orders in the preset fault work order processing queue to the target fault handling model that completes the online parameter optimization upon receiving a trigger instruction for the target fault handling model to complete the online parameter optimization and obtaining the fault handling solution corresponding to the target fault work order.

8. A computer program product, characterized in that It includes computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements the fault work order processing method for integrated energy equipment as described in any one of claims 1 to 5.

9. An electronic device, characterized in that: The method comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program so that the electronic device can implement the fault work order processing method for integrated energy equipment as described in any one of claims 1 to 5.

10. A computer storage medium, characterized in that: The storage medium carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, the electronic device can implement the fault work order processing method for the integrated energy equipment as described in any one of claims 1 to 5.

Images