A fault handling method and apparatus

Abstract

This invention discloses a fault handling method and apparatus. Based on current status data, this invention employs a fault location model for fault location, eliminating the need for frequent consultation of offline manuals or reliance on the experience of senior engineers. Fault location is quick. The fault location results are linked with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in a knowledge base to generate a fault handling process. When subsequent steps are triggered, the corresponding lithium battery production equipment knowledge and / or tool knowledge can be displayed, facilitating independent fault handling by novice maintenance personnel, reducing maintenance costs. Furthermore, it collects new status data of the corresponding components after each step is completed, enabling feedback and preventing incomplete handling that could lead to fault recurrence.

Description

Technical Field

[0001] This invention relates to a fault handling method and apparatus, belonging to the field of human-machine interface (HMI) technology and fault diagnosis for industrial equipment. Background Technology

[0002] In the field of high-precision lithium battery manufacturing, the timeliness and accuracy of equipment fault handling directly determine production continuity and product quality. Current HMI-based fault handling methods have the following shortcomings: 1. HMIs only provide fault indications through text pop-ups (such as "E307: Abnormal Tension") or simple codes. Maintenance personnel need to frequently consult offline manuals or rely on the experience of senior engineers, resulting in an average fault location time exceeding 10 minutes, far exceeding the "5-minute response" standard required for lithium battery production; 2. Lithium battery production equipment fault types are complex, requiring novice maintenance personnel to undergo more than 3 months of training to independently handle common faults, leading to high maintenance costs. Summary of the Invention

[0003] This invention provides a fault handling method and apparatus, which solves the problems disclosed in the background art.

[0004] According to one aspect of this application, a fault handling method is provided, comprising: In response to detecting a fault in the lithium battery production equipment based on the current status data of the lithium battery production equipment, the fault location model is used to locate the fault based on the current status data. The fault location result is then associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process that matches the fault location result and send a fault prompt to the human-machine interaction side. In response to receiving a display instruction from the human-computer interaction side due to a fault prompt, the fault handling process is sent to the human-computer interaction side to display the fault handling process steps; During the sequential triggering of fault handling process steps on the human-machine interface side, in response to receiving the trigger command sent by the human-machine interface side, the knowledge of lithium battery production equipment and / or tool knowledge corresponding to the trigger step is sent to the human-machine interface side for display, and new status data of the corresponding component is collected after the step is completed. If the new status data meets the requirements of the corresponding component, a prompt indicating that the step processing is completed is sent to the human-machine interface side; where the corresponding component is the component of the lithium battery production equipment corresponding to the trigger step.

[0005] The above method uses a fault location model to locate faults based on the current status data, eliminating the need to frequently consult offline manuals or rely on the experience of senior engineers. The fault location time is short, and the fault location results are associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the steps can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, it also collects new status data of the corresponding components after the steps are completed, which can realize processing feedback and prevent the fault from recurring due to incomplete processing.

[0006] Furthermore, the fault location results are linked with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process adapted to the fault location results, including: Based on the fault location results, suitable historical fault handling procedures are selected from the historical fault handling cases in the knowledge base, and the historical fault handling procedures are used as the fault handling procedures for the current fault. It iterates through each step in the fault handling process, retrieves lithium battery production equipment and tool knowledge related to the step from the knowledge base, and associates the retrieved lithium battery production equipment and tool knowledge with the step.

[0007] The above method selects fault handling procedures that match the fault location results from historical fault handling cases in the knowledge base, and realizes the rapid generation of fault handling procedures by using historical experience transfer. Furthermore, it associates each step with lithium battery production equipment knowledge and tool knowledge, making it easier for novice maintenance personnel to handle all steps independently and reducing operation and maintenance costs.

[0008] Furthermore, the knowledge of lithium battery production equipment includes electrical drawings and component handling videos. When linking electrical drawings, nodes related to the processing steps are marked to differentiate their display during presentation. Using electrical drawings and component handling videos as knowledge of lithium battery production equipment, and differentiating the display of nodes related to the processing steps, enables user-friendly operation guidance, facilitating independent troubleshooting for novice maintenance personnel.

[0009] Furthermore, tool knowledge includes tool usage videos; using tool usage videos as tool knowledge enables foolproof operation guidance, making it easier for novice maintenance personnel to handle faults independently.

[0010] Furthermore, on the human-machine interface side, the first step of the fault handling process is manually triggered, while the remaining steps are automatically triggered upon receiving a notification that the previous step has been completed. The automatic triggering of all steps except the first reduces manual operation by maintenance personnel and also prevents accidental skipping of steps.

[0011] Furthermore, on the human-computer interaction side, in response to a notification that a step has been completed, the corresponding step is displayed in a differentiated manner. This differentiated display allows maintenance personnel to more intuitively understand the current stage of the fault handling process.

[0012] Furthermore, the method also includes storing the fault handling process as a new case in the knowledge base and adjusting the parameters of the corresponding fault in the fault location model. Storing the fault handling process as a new case in the knowledge base and adjusting the parameters of the fault location model can gradually improve the fault location accuracy.

[0013] According to another aspect of this application, a fault handling apparatus is provided, comprising: The process generation module responds to the detection of faults in lithium battery production equipment based on the current status data of the lithium battery production equipment. Based on the current status data, it uses a fault location model to locate the fault and associates the fault location results with lithium battery production equipment knowledge, tool knowledge and fault handling history cases in the knowledge base. It then generates a fault handling process that matches the fault location results and sends a fault prompt to the human-machine interaction side. The process sending module, in response to receiving a display instruction sent by the human-computer interaction side due to a fault prompt, sends the fault handling process to the human-computer interaction side and displays the fault handling process steps. The step processing module, in response to receiving the trigger command sent by the human-machine interaction side during the sequential triggering of fault handling process steps, sends the lithium battery production equipment knowledge and / or tool knowledge corresponding to the trigger step to the human-machine interaction side for display, and collects the new status data of the corresponding component after the step processing is completed. If the new status data meets the requirements of the corresponding component, it sends a prompt to the human-machine interaction side indicating that the step processing is completed; where the corresponding component is the component of the lithium battery production equipment corresponding to the trigger step.

[0014] The aforementioned device uses a fault location model to locate faults based on the current status data, eliminating the need for frequent consultation of offline manuals or reliance on the experience of senior engineers. Fault location is quick, and the fault location results are linked with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the step can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, it also collects new status data of the corresponding components after the step is completed, enabling processing feedback and preventing incomplete handling that could lead to fault recurrence.

[0015] According to another aspect of this application, a computer-readable storage medium is provided that stores one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform a fault handling method.

[0016] The instructions on the aforementioned storage medium execute the aforementioned fault handling method. Based on the current status data, a fault location model is used to locate the fault, eliminating the need for frequent consultation of offline manuals or reliance on the experience of senior engineers. The fault location time is short. The fault location results are associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the steps can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, new status data of the corresponding components are collected after the steps are completed, enabling processing feedback and preventing the recurrence of faults due to incomplete processing.

[0017] According to another aspect of this application, a computer device is provided, including one or more processors and one or more memories, wherein one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs include instructions for performing a fault handling method.

[0018] The program of the above-mentioned equipment executes the above-mentioned fault handling method. Based on the current status data, it uses a fault location model to locate the fault, eliminating the need to frequently consult offline manuals or rely on the experience of senior engineers. The fault location time is short. The fault location results are associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the steps can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, it also collects the new status data of the corresponding components after the step is completed, which can realize processing feedback and prevent the fault from recurring due to incomplete processing.

[0019] The beneficial effects achieved by this invention are as follows: This invention uses a fault location model to locate faults based on the current status data, eliminating the need for frequent consultation of offline manuals or reliance on the experience of senior engineers. The fault location time is short. The fault location results are associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the steps can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, it also collects new status data of the corresponding components after the steps are completed, which can realize processing feedback and prevent the fault from recurring due to incomplete processing. Attached Figure Description

[0020] Figure 1 This is a flowchart of the fault handling method; Figure 2 A diagram illustrating the troubleshooting process steps on the human-computer interaction side; Figure 3 This is a diagram illustrating the steps triggered during human-computer interaction. Figure 4 This is a block diagram of the fault handling device. Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this application or its application or use. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0022] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this application.

[0023] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0024] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0025] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0026] It should be noted that similar symbols and letters in the accompanying drawings represent similar items; therefore, once an item is defined in one accompanying drawing, it does not need to be discussed further in subsequent accompanying drawings.

[0027] See Figure 1 , Figure 1This is a flowchart illustrating a fault handling method provided in an embodiment of this application. The fault handling method can be executed by a fault handling device, which can be a terminal device or a server. The terminal device can include, but is not limited to, mobile phones, computers, etc., as described in this embodiment. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, big data, and artificial intelligence platforms, as described in this embodiment. Optionally, the fault handling method can also be executed collaboratively by multiple electronic devices with computing power. For ease of explanation, subsequent embodiments will be described as being executed by a fault handling device.

[0028] The fault handling method may include at least the following steps: Step 1: In response to detecting a fault in the lithium battery production equipment based on the current status data of the lithium battery production equipment, the fault location model is used to locate the fault based on the current status data. The fault location result is then associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process that matches the fault location result and send a fault prompt to the human-machine interaction side.

[0029] It should be noted that the status data mainly includes controller signals, real-time sensor data, and operation logs. These data can be sampled periodically, such as at a sampling frequency of 1 second per time, to ensure data real-time performance. For example, for a lithium battery coating machine, the data can include tension sensor readings, electrode vision sensor images, sensor power supply voltage, and equipment operation logs.

[0030] Before further processing based on the collected data, it is necessary to filter out abnormal data through an edge gateway, or to preprocess the data using some existing preprocessing methods, thereby improving data efficiency.

[0031] It should be noted that fault detection is the most routine type of detection. It involves comparing some actual data with the corresponding normal range. If any data deviates from the normal range for more than 2 seconds, then the lithium battery production equipment is considered faulty. Taking the lithium battery coating machine as an example, if the tension sensor reading is 0N for 2 seconds, while the normal range is 50N~100N, then the lithium battery coating machine is considered faulty.

[0032] It should be noted that there are many fault location models, such as decision trees and random forests. Here, we can specifically use C4.5 decision trees. The input of C4.5 decision trees can be core features extracted from the current state data, such as parameter deviation values, deviation trends, and equipment runtime. C4.5 decision trees determine the root cause of the fault from the fault pattern library in the knowledge base through the input features, that is, to locate the fault.

[0033] In some embodiments, the specific process of generating a fault handling procedure adapted to the fault location results may include: 11) Based on the fault location results, select suitable historical fault handling procedures from the fault handling history cases in the knowledge base, and use the historical fault handling procedures as the fault handling procedures for the current fault.

[0034] Specifically, based on the fault data corresponding to the fault location results, the system matches the same or similar historical fault handling cases from the knowledge base to obtain the fault handling process.

[0035] Taking the cylinder of the liquid injection machine not returning to its original position as an example, the specific handling procedure is as follows: S1) Collect cylinder alarm and real-time cylinder coordinate position information, i.e., fault data; S2) Use alarm and coordinate location information to match the closest liquid injection machine cylinder alarm handling case in the knowledge base; S3) Obtain the alarm cancellation method (including text description, video, drawing annotations, etc.) from the case in step 2.

[0036] 12) Traverse each step in the fault handling process, retrieve the lithium battery production equipment knowledge and tool knowledge related to the step from the knowledge base, and associate the retrieved lithium battery production equipment knowledge and tool knowledge with the step.

[0037] It should be noted that knowledge about lithium battery production equipment includes electrical drawings and component processing videos, while tool knowledge includes tool usage videos. When linking electrical drawings, nodes related to the processing steps will be marked to differentiate them during the demonstration. For example, if a step requires checking the power supply voltage of the tension sensor, the tension sensor electrical drawing and a video demonstrating the use of the multimeter will be linked. Furthermore, when displaying the tension sensor electrical drawing, the nodes connected to the multimeter will be differentiated, such as by highlighting the node or using a different color than other nodes.

[0038] This section uses electrical drawings and component processing videos as knowledge of lithium battery production equipment, and provides differentiated displays of nodes related to the processing steps. It also uses tool usage videos as tool knowledge, enabling user-friendly operation guidance and facilitating independent troubleshooting for novice maintenance personnel.

[0039] The above-mentioned fault handling process generation process selects fault handling processes that match the fault location results from historical fault handling cases in the knowledge base. It achieves rapid generation of fault handling processes by using historical experience transfer. Furthermore, it associates each step with knowledge of lithium battery production equipment and tools, making it easier for novice maintenance personnel to handle all steps independently and reducing operation and maintenance costs.

[0040] Step 2: In response to receiving a display instruction from the human-machine interface (HMI) side due to a fault prompt, send the fault handling process to the HMI side and display the fault handling process steps.

[0041] If the human-machine interface receives a fault prompt, clicking the prompt will trigger a display command. The fault handling device will then send the fault handling process to the human-machine interface, which will then display the steps of the fault handling process. (See the display diagram.) Figure 2 The left side of the interface is a blank area, which facilitates the display of related content when a step is triggered, while the right side displays the steps from top to bottom.

[0042] Step 3: During the sequential triggering of the fault handling process steps on the human-machine interaction side, in response to the trigger command sent by the human-machine interaction side, the knowledge of lithium battery production equipment and / or tool knowledge corresponding to the trigger step is sent to the human-machine interaction side for display, and new status data of the corresponding component is collected after the step is completed. If the new status data meets the requirements of the corresponding component, a prompt indicating that the step processing is completed is sent to the human-machine interaction side; wherein, the corresponding component is the component of the lithium battery production equipment corresponding to the trigger step.

[0043] It should be noted that the triggering of all steps can be completed manually. However, in some embodiments, on the human-computer interaction side, the first step of the fault handling process is triggered manually, while the remaining steps are automatically triggered after receiving a notification that the previous step has finished processing. Figure 2 For example, the first step can be triggered by clicking the "Go Now" button, and the remaining steps will be triggered automatically. The automatic triggering of all steps except the first one reduces manual operation by maintenance personnel and also prevents accidental skipping of steps.

[0044] When any step is triggered, the fault handling device will send the corresponding lithium battery production equipment knowledge and / or tool knowledge to the human-machine interface for display. For example, to check the power supply voltage of the tension sensor, see [link to relevant documentation]. Figure 3 The electrical diagram of the tension sensor is displayed on the left side of the interface, and the nodes connecting to the multimeter are highlighted. The usage video of the external meter can be displayed below the steps on the right side of the interface. Of course, the usage video of the external meter can also be displayed on the left side of the interface. The display position can be set according to the needs.

[0045] It should be noted that if the steps require operation of the lithium battery production equipment, this operation can be performed directly on the lithium battery production equipment or through external commands. In this case, the fault handling equipment can be used to send the corresponding operation commands to complete the operation.

[0046] It should be noted that for any step, real-time verification will be triggered upon completion. For example, if the step is to calibrate a tension sensor with abnormal readings, the tension sensor readings will be collected after calibration. Only if the readings are normal will a completion notification be provided; otherwise, no notification will be given. The data acquired after each step can also be sent to the human-machine interface for display, such as showing the tension curve obtained from the calibrated tension sensor.

[0047] In some embodiments, on the human-computer interaction side, in response to receiving a prompt indicating the end of a step, the corresponding step is displayed differently. That is, once a step is completed, the display status of that step on the human-computer interaction side will differ from other steps. Figure 3 For example, if the first step is completed, the node preceding the first step can be turned green. This differentiated display makes it more intuitive for maintenance personnel to know the current stage of the fault handling process.

[0048] In some embodiments, the method further includes storing the fault handling process as a new case in the knowledge base and adjusting the parameters of the corresponding fault in the fault location model. This step enables iterative optimization of the entire method; by updating the parameters of the knowledge base and the fault location model, the fault location accuracy can be gradually improved.

[0049] The above method uses a fault location model to locate faults based on the current status data, eliminating the need to frequently consult offline manuals or rely on the experience of senior engineers. The fault location time is short, and the fault location results are associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the steps can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, it also collects new status data of the corresponding components after the steps are completed, which can realize processing feedback and prevent the fault from recurring due to incomplete processing.

[0050] The above method will be explained using specific equipment, where the lithium battery production equipment is a lithium battery coating machine, the abnormality is tension abnormality, the fault handling equipment is a terminal, and the human-machine interface is the terminal's built-in touch screen. The fault handling process can be as follows: The terminal processor collects status data of the lithium battery coating machine every 1 second: tension sensor reading 0N (normal range 50-100N, lasting 2 seconds), electrode visual sensor image (no breakage features), sensor power supply voltage 12V (normal range 11-13V), and equipment operation log (sensor has been working continuously for 1600 hours, dropping from 60N to 0N within 5 seconds, 30 days since the last calibration). The edge gateway filters the data (no instantaneous jump values) and uploads the valid data to the real-time database.

[0051] Key features extracted from real-time data: tension deviation value -100%, deviation trend decreasing from 60N to 0N within 5 seconds, normal power supply voltage, no electrode breakage, and sensor operating time of 1600 hours.

[0052] The C4.5 decision tree engine calls the "Tension Anomaly" fault mode library in the knowledge base and can match root causes according to the following logic: Branch 1: Is the electrode broken? → No breakage in visual image → Exclude "electrode breakage"; Branch 2: Is the sensor power supply normal? → 12V, normal → rule out "power supply failure"; Branch 3: Did the sensor runtime exceed the calibration cycle of 1800 hours? → 1600 hours. No, but historical data shows that the last 3 similar failures were all sensor drift. → Match root cause "tension sensor drift", confidence level 92%.

[0053] A fault handling process is generated according to the structured process of "Location → Processing → Verification → Closed Loop" (see Table 1), and the corresponding electrical drawings and multimeter usage videos are associated with the sensor drift.

[0054] Table 1 Fault Handling Flowchart

[0055] On the human-computer interaction side, clicking on the fault prompt will bring up the fault handling process on the right side of the interface. Maintenance personnel can then click the "Go Now" button in the first step of the fault handling process. Interactive Feedback 1: The left side jumps to the tension sensor electrical drawing interface, highlighting the location of the X12 terminal; Interactive Feedback 2: The right drawer displays a video demonstrating how to use a multimeter, which can be zoomed in and played.

[0056] Maintenance personnel measure the voltage at terminal X12 according to the instructions (19V, below the normal range), and feed the measurement result back (i.e., back to the terminal processor). The first step is completed, the node before the first step turns green, and the second step, namely calibrating the tension sensor, is automatically triggered. Interactive Feedback 1: The left side will redirect to the tension sensor calibration interface, which displays the tension at various times in the form of a curve (i.e., the tension curve), and shows the qualified tension range, target value, etc.

[0057] Interactive Feedback 2: The right drawer displays a video of the tension calibration operation, which can be enlarged and played.

[0058] The maintenance personnel completed the calibration according to the video, the real-time tension reading was restored to 60N and the result was fed back. The second step was completed, the node before the second step turned green, and the third step was automatically triggered, that is, the coating machine was restarted to 50% speed and the tension fluctuation was monitored.

[0059] The coating machine automatically restarts at 50% speed. The right drawer displays the real-time tension curve (fluctuation range 58-62N, CV value 2.8%≤5%). Verification is successful. The node before the third step turns green, automatically triggering the fourth step, which automatically records the processing results and feeds them back to the knowledge base. The system automatically records the processing time (7 minutes), CV value (2.8%), and tool usage, and feeds the processing process back to the knowledge base as a new case. The knowledge base then triggers decision tree iterations to update the feature weights of the "sensor drift" fault.

[0060] The above method has the following effects in practical applications: Fault handling time: 7 minutes, a 53% reduction compared to existing technologies (average 15 minutes), meeting the "5-minute response, 10-minute handling" requirement for lithium battery production. Novices can handle it independently: After one month of training, personnel can complete it independently without the support of senior engineers; Verification results: The coating machine returned to normal speed, and there was no recurrence of "E307 tension abnormality" within the following 24 hours. The electrode coating thickness deviation was ≤±3%, which met the quality standards.

[0061] See Figure 4 , Figure 4 This is a block diagram of a fault handling device provided in an embodiment of this application. The device is a virtual device that can be loaded and executed by a computer device, which may include the aforementioned fault handling device. Figure 4 The apparatus may include a process generation module, a process sending module, and a step processing module, which, when used to execute the above-mentioned fault handling method, can: The process generation module responds to the detection of faults in lithium battery production equipment based on the current status data of the lithium battery production equipment. Based on the current status data, it uses a fault location model to locate the fault and associates the fault location results with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base. It then generates a fault handling process that matches the fault location results and sends a fault prompt to the human-machine interaction side.

[0062] The process sending module, in response to receiving a display instruction from the human-computer interaction side due to a fault prompt, sends the fault handling process to the human-computer interaction side and displays the fault handling process steps.

[0063] The step processing module, in response to receiving the trigger command sent by the human-machine interaction side during the sequential triggering of fault handling process steps, sends the lithium battery production equipment knowledge and / or tool knowledge corresponding to the trigger step to the human-machine interaction side for display, and collects the new status data of the corresponding component after the step processing is completed. If the new status data meets the requirements of the corresponding component, it sends a prompt to the human-machine interaction side indicating that the step processing is completed; where the corresponding component is the component of the lithium battery production equipment corresponding to the trigger step.

[0064] The aforementioned device uses a fault location model to locate faults based on the current status data, eliminating the need for frequent consultation of offline manuals or reliance on the experience of senior engineers. Fault location is quick, and the fault location results are linked with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the step can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, it also collects new status data of the corresponding components after the step is completed, enabling processing feedback and preventing incomplete handling that could lead to fault recurrence.

[0065] This application also relates to a computer-readable storage medium that stores one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform a fault handling method.

[0066] The instructions on the aforementioned storage medium execute the aforementioned fault handling method. Based on the current status data, a fault location model is used to locate the fault, eliminating the need for frequent consultation of offline manuals or reliance on the experience of senior engineers. The fault location time is short. The fault location results are associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the steps can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, new status data of the corresponding components are collected after the steps are completed, enabling processing feedback and preventing the recurrence of faults due to incomplete processing.

[0067] This application also relates to a computer device including one or more processors and one or more memories, wherein one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, and the one or more programs include instructions for performing a fault handling method.

[0068] The program of the above-mentioned equipment executes the above-mentioned fault handling method. Based on the current status data, it uses a fault location model to locate the fault, eliminating the need to frequently consult offline manuals or rely on the experience of senior engineers. The fault location time is short. The fault location results are associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process. When subsequent steps are triggered, the lithium battery production equipment knowledge and / or tool knowledge corresponding to the steps can be displayed, making it easier for novice maintenance personnel to handle faults independently, reducing operation and maintenance costs. In addition, it also collects the new status data of the corresponding components after the step is completed, which can realize processing feedback and prevent the fault from recurring due to incomplete processing.

[0069] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0071] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0072] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0073] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A fault handling method, characterized in that, include: In response to detecting a fault in the lithium battery production equipment based on the current status data of the lithium battery production equipment, the fault location model is used to locate the fault based on the current status data. The fault location result is then associated with lithium battery production equipment knowledge, tool knowledge, and historical fault handling cases in the knowledge base to generate a fault handling process that matches the fault location result and send a fault prompt to the human-machine interaction side. In response to receiving a display instruction from the human-computer interaction side due to a fault prompt, the fault handling process is sent to the human-computer interaction side to display the fault handling process steps; During the sequential triggering of fault handling process steps on the human-machine interface side, in response to receiving the trigger command sent by the human-machine interface side, the knowledge of lithium battery production equipment and / or tool knowledge corresponding to the trigger step is sent to the human-machine interface side for display, and new status data of the corresponding component is collected after the step is completed. If the new status data meets the requirements of the corresponding component, a prompt indicating that the step processing is completed is sent to the human-machine interface side; where the corresponding component is the component of the lithium battery production equipment corresponding to the trigger step.

2. The method according to claim 1, characterized in that, The fault location results are linked with knowledge of lithium battery production equipment, tools, and historical fault handling cases in the knowledge base to generate a fault handling process adapted to the fault location results, including: Based on the fault location results, suitable historical fault handling procedures are selected from the historical fault handling cases in the knowledge base, and the historical fault handling procedures are used as the fault handling procedures for the current fault. It iterates through each step in the fault handling process, retrieves lithium battery production equipment and tool knowledge related to the step from the knowledge base, and associates the retrieved lithium battery production equipment and tool knowledge with the step.

3. The method according to claim 2, characterized in that, Knowledge of lithium battery production equipment includes electrical drawings and component processing videos; when linking electrical drawings, nodes related to the processing steps will be marked to differentiate the nodes during the presentation.

4. The method according to claim 2, characterized in that, Tool knowledge includes videos on how to use the tools.

5. The method according to claim 1, characterized in that, On the human-computer interaction side, the first step of the fault handling process is manually triggered, while the remaining steps are automatically triggered after receiving a notification that the previous step has been completed.

6. The method according to claim 1, characterized in that, On the human-computer interaction side, in response to receiving a prompt that the step processing is complete, the corresponding steps will be displayed differently.

7. The method according to claim 1, characterized in that, The method also includes storing the fault handling process as a new case in the knowledge base and adjusting the parameters of the corresponding fault in the fault location model.

8. A fault handling device, characterized in that, include: The process generation module responds to the detection of faults in lithium battery production equipment based on the current status data of the lithium battery production equipment. Based on the current status data, it uses a fault location model to locate the fault and associates the fault location results with lithium battery production equipment knowledge, tool knowledge and fault handling history cases in the knowledge base. It then generates a fault handling process that matches the fault location results and sends a fault prompt to the human-machine interaction side. The process sending module, in response to receiving a display instruction sent by the human-computer interaction side due to a fault prompt, sends the fault handling process to the human-computer interaction side and displays the fault handling process steps. The step processing module, in response to receiving the trigger command sent by the human-machine interaction side during the sequential triggering of fault handling process steps, sends the lithium battery production equipment knowledge and / or tool knowledge corresponding to the trigger step to the human-machine interaction side for display, and collects the new status data of the corresponding component after the step processing is completed. If the new status data meets the requirements of the corresponding component, it sends a prompt to the human-machine interaction side indicating that the step processing is completed; where the corresponding component is the component of the lithium battery production equipment corresponding to the trigger step.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform the method of any one of claims 1 to 7.

10. A computer device, characterized in that, include: One or more processors and one or more memories, one or more programs stored in one or more memories and configured to be executed by one or more processors, the one or more programs including instructions for performing the method of any one of claims 1 to 7.

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