Equipment operation and maintenance method, device and system, storage medium and program product
By analyzing real-time equipment operation data and utilizing fault identification models and maintenance knowledge graphs, the problems of high cost and low efficiency in equipment after-sales service have been solved, enabling timely early warning and rapid location of equipment faults, thereby improving operation and maintenance efficiency and service quality.
Patent Information
- Application Number
- CN202511666299.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-13
- Publication Date
- 2026-02-10
AI Technical Summary
In the existing equipment after-sales service, the methods of manual periodic inspection and customer repair reporting are characterized by high costs, risk of misjudgment, low efficiency of passive response, lack of troubleshooting tools and service evaluation methods, making it difficult to establish a high-quality equipment after-sales service system.
By analyzing the real-time operating data of the target equipment, the fault identification model is used to determine the equipment fault, and fault warning information is sent to the after-sales service terminal, including the equipment identification, location and fault type. The operation and maintenance plan is provided, and the maintenance knowledge graph is updated to support user terminal query and feedback.
It enables timely early warning and rapid location of equipment failures, improves operation and maintenance efficiency, reduces the need for human resources, and enhances after-sales service quality and user experience.
Smart Images

Figure CN121504432A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of testing technology, and in particular to a method, apparatus and system for equipment operation and maintenance, storage medium and program product. Background Technology
[0002] Existing after-sales service for equipment mainly includes two types. The first type involves after-sales service personnel regularly maintaining and servicing the target equipment, inspecting it according to the established inspection and maintenance items, and addressing any potential problems found. The second type involves customers reporting repairs, and after-sales service personnel handling the issues on-site based on the reported problems. Summary of the Invention
[0003] The inventors noted the following drawbacks in the after-sales service of the aforementioned equipment.
[0004] 1. The first method described above uses manual inspection, which requires after-sales service personnel to visit the after-sales site regularly, increasing the demand for human resources and maintenance costs. In addition, for fixed inspection items, after-sales service personnel make subjective judgments, which can easily lead to misjudgments.
[0005] 2. The second method described above relies on customer-initiated repair requests. In this case, the equipment has often already malfunctioned, and after-sales personnel are in a reactive state. Furthermore, when facing complex problems, the lack of troubleshooting tools often necessitates coordination with R&D personnel for location analysis, making it difficult to resolve issues efficiently and quickly. This results in prolonged on-site service interruptions. There is also a lack of records and summaries for each repair, hindering the formation of a knowledge base and providing experience for future problem-solving. Additionally, the lack of service evaluation methods makes it impossible to assess the service quality of after-sales personnel and prevent them from continuously developing a strong after-sales service mindset.
[0006] The above two methods, which rely on manual periodic inspections and passive responses to handle on-site equipment problems, make it difficult to establish a high-quality after-sales service system, and fail to provide early warnings and rapid post-incident location, thus hindering the improvement of efficiency in after-sales equipment handling.
[0007] Accordingly, this disclosure provides a device operation and maintenance method that analyzes the real-time operating data of the target device to determine whether the target device has a fault, thereby enabling convenient and quick fault repair of the target device and effectively improving the operation and maintenance efficiency of the target device.
[0008] In a first aspect of this disclosure, a device operation and maintenance method is provided, executed by a device operation and maintenance device, comprising: acquiring real-time operating data of a target device; analyzing the operating data to determine whether the target device has a fault; if it is determined that the target device has a fault of a specified fault type, querying the location information of the target device using after-sales records; and sending a fault warning message to an after-sales service terminal, wherein the fault warning message includes the device identifier of the target device, the location information of the target device, and the fault type information of the target device, so that staff can perform fault repair on the target device according to the fault warning message presented by the after-sales service terminal.
[0009] In some embodiments, analyzing the operational data includes: processing the operational data using a fault identification model to obtain fault type information of the target device when the target device has a fault of the specified fault type, wherein the fault identification model is a model obtained by training a machine learning model on fault identification; and determining the operation and maintenance plan of the target device based on the fault type information of the target device.
[0010] In some embodiments, the fault warning information may also include the operation and maintenance plan for the target device.
[0011] In some embodiments, determining the operation and maintenance plan for the target device based on the fault type information of the target device includes: determining a fault analysis report based on the fault type information, wherein the fault analysis report includes the specific content of the fault, the candidate causes of the fault, and the scope of the impact of the fault; and determining the operation and maintenance plan for the target device based on the fault analysis report and a pre-configured maintenance knowledge graph.
[0012] In some embodiments, a maintenance report input by the staff is received from the after-sales service terminal; the maintenance report is used to update the maintenance knowledge graph.
[0013] In some embodiments, the target device includes a CT security screening device.
[0014] In some embodiments, the after-sales records are used to query the associated users of the target device; the fault warning information is sent to the user terminal of the associated user so that the user terminal presents the fault warning information to the associated user.
[0015] In some embodiments, a query request sent by the user terminal is received, wherein the query request includes fault type information of the target device; the query request is processed using a trained large language model to obtain a response content corresponding to the fault type information of the target device; and the response content is sent to the user terminal.
[0016] In a second aspect of this disclosure, an equipment operation and maintenance apparatus is provided, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute instructions stored in the memory to implement the equipment operation and maintenance method as described in any of the above embodiments.
[0017] In a third aspect of this disclosure, an equipment operation and maintenance system is provided, comprising: an equipment operation and maintenance device as shown in any of the above embodiments; a data acquisition device configured to acquire real-time operating data of a target device and send the operating data to the equipment operation and maintenance device; and an after-sales service terminal configured to display fault warning information sent by the equipment operation and maintenance device.
[0018] In some embodiments, the after-sales service terminal is further configured to send maintenance reports entered by staff to the equipment maintenance device.
[0019] In some embodiments, the user terminal of the associated user of the target device is configured to display the fault warning information sent by the device maintenance device.
[0020] In some embodiments, the user terminal is configured to send a query request to the device maintenance device, wherein the query request includes fault type information of the target device and presents the response content sent by the device maintenance device.
[0021] In a fourth aspect of this disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method as described in any of the above embodiments.
[0022] In a fifth aspect of this disclosure, a computer program product is provided, including computer instructions, wherein the computer instructions, when executed by a processor, implement the method as described in any of the above embodiments.
[0023] Other features and advantages of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description
[0024] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0025] Figure 1 This is a schematic flowchart of a pure electric vehicle control method according to an embodiment of the present disclosure;
[0026] Figure 2 This is a schematic flowchart of a pure electric vehicle control method according to another embodiment of the present disclosure;
[0027] Figure 3 This is a schematic diagram of the structure of an equipment operation and maintenance device according to an embodiment of the present disclosure;
[0028] Figure 4 This is a schematic diagram of the structure of an equipment operation and maintenance system according to an embodiment of the present disclosure;
[0029] Figure 5 This is a schematic diagram of the structure of an equipment operation and maintenance system according to another embodiment of the present disclosure. Detailed Implementation
[0030] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, 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 disclosure or its application or use. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.
[0031] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of this disclosure.
[0032] 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.
[0033] 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.
[0034] 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.
[0035] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.
[0036] Figure 1 This is a flowchart illustrating a device operation and maintenance method according to an embodiment of the present disclosure. In some embodiments, the following device operation and maintenance method is executed by a device operation and maintenance device, including steps 11-14.
[0037] In step 11, real-time operating data of the target device is obtained.
[0038] In some embodiments, the target device includes devices that perform specific functions, such as CT (Computed Tomography) security screening equipment.
[0039] In step 12, the operating data is analyzed to determine if the target device is faulty.
[0040] In some embodiments, a fault identification model is used to process operational data in order to obtain fault type information of the target device when a fault of a specified fault type exists in the target device, wherein the fault identification model is a model obtained by training a machine learning model on fault identification.
[0041] For example, a fault identification model can be obtained by training a machine learning model using at least one of the following algorithms: logistic regression, naive Bayes, nearest neighbor, decision tree, and support vector machine.
[0042] In step 13, if it is determined that the target device has a fault of a specified fault type, the location information of the target device is queried using the after-sales records.
[0043] In step 14, a fault warning message is sent to the after-sales service terminal. The fault warning message includes the device identifier of the target device, the location information of the target device, and the fault type information of the target device, so that the staff can perform fault repair on the target device according to the fault warning message presented by the after-sales service terminal.
[0044] It should be noted that, based on the fault warning information displayed on the after-sales service terminal, staff can understand the location of the target device, the device information, and the type of fault, so that staff can promptly repair the target device.
[0045] In the equipment operation and maintenance method provided in the above embodiments of this disclosure, by analyzing the real-time operating data of the target equipment to determine whether the target equipment has a fault, the target equipment can be repaired conveniently and quickly, thereby effectively improving the operation and maintenance efficiency of the target equipment.
[0046] Figure 2 This is a schematic flowchart of a device operation and maintenance method according to an embodiment of the present disclosure. In some embodiments, the following device operation and maintenance method is executed by a device operation and maintenance device, including steps 21-27.
[0047] In step 21, real-time operating data of the target device is obtained.
[0048] In some embodiments, the target device includes devices that perform specific functions, such as CT scanners.
[0049] In step 22, the operating data is analyzed to determine if there is a fault in the target device.
[0050] In some embodiments, a fault identification model is used to process operational data in order to obtain fault type information of the target device when a fault of a specified fault type exists in the target device, wherein the fault identification model is a model obtained by training a machine learning model on fault identification.
[0051] For example, a fault identification model can be obtained by training a machine learning model using at least one of the following algorithms: logistic regression, naive Bayes, nearest neighbor, decision tree, and support vector machine.
[0052] In step 23, if it is determined that the target device has a fault of a specified fault type, the operation and maintenance plan for the target device is determined based on the fault type information of the target device.
[0053] In some embodiments, the step of determining the operation and maintenance plan for the target device based on the fault type information of the target device includes steps S11-S12.
[0054] S11. Determine the fault analysis report based on the fault type information.
[0055] It should be noted that the fault analysis report includes the specific details of the fault, the candidate causes of the fault, and the scope of the fault's impact.
[0056] S12. Based on the fault analysis report and the pre-configured maintenance knowledge graph, determine the operation and maintenance plan for the target equipment.
[0057] In some embodiments, the fault analysis report is used as a query condition. Based on parameters such as the specific type of fault, possible causes, and scope of impact, a pre-configured maintenance knowledge graph is used to retrieve maintenance solutions that match the target fault analysis report. Since multiple maintenance solutions may match the target fault analysis report, the retrieved solutions can be filtered and sorted, for example, by information such as applicability, feasibility, and historical success rate. Finally, a superior maintenance solution or a solution selected by the user is determined.
[0058] In step 24, the location information of the target device is retrieved using the after-sales records.
[0059] In step 25, a fault warning message is sent to the after-sales service terminal. The fault warning message includes the target device's device identifier, the target device's location information, the target device's fault type information, and the target device's operation and maintenance plan. This allows staff to perform efficient fault repair on the target device based on the fault warning message presented by the after-sales service terminal and the presented operation and maintenance plan.
[0060] It should be noted that, based on the fault warning information displayed on the after-sales service terminal, staff can understand the location of the target device, the device information, the type of fault, and the maintenance plan, enabling them to perform efficient fault repair on the target device.
[0061] In step 26, a maintenance report entered by staff is received from the after-sales service terminal.
[0062] In step 27, the maintenance knowledge graph is updated using the maintenance report.
[0063] It's important to note that based on the fault warnings displayed on the after-sales service terminal, staff perform fault repairs on the target equipment. After completing the repairs, they submit a corresponding maintenance report to the equipment maintenance unit. This report includes the specific type of fault, its manifestation, cause analysis, scope of impact, and the maintenance solution ultimately adopted to overcome the fault. The equipment maintenance unit uses this report to update its maintenance knowledge graph, enabling it to provide more accurate maintenance solutions in the future.
[0064] In addition, based on the maintenance reports entered by staff, fault handling information can be effectively traced to further improve the quality of after-sales service.
[0065] In some embodiments, after-sales records are used to query the associated users of the target device and send fault warning information to the user terminals of the associated users so that the user terminals can present the fault warning information to the associated users.
[0066] Through the above processing, the associated users of the target device can be informed in a timely manner that the target device is currently malfunctioning, so as to effectively avoid the security risks caused by the associated users continuing to use the malfunctioning target device.
[0067] In some embodiments, upon receiving a query request from a user terminal, the query request is processed using a trained large language model to obtain a response content corresponding to the fault type information of the target device, wherein the query request includes the fault type information of the target device. Based on this, the response content is sent to the user terminal.
[0068] It should be noted that after seeing the fault warning message displayed on the user's terminal, the associated user may want to know more information related to the fault. In this case, using a trained large language model to answer the related questions raised by the associated user can provide the associated user with more information related to the fault, thereby effectively improving the after-sales service experience.
[0069] In addition, associated users can provide service evaluation information to the equipment maintenance unit through their user terminals, so as to further improve the quality of authorized services based on the service evaluation information provided by associated users.
[0070] Figure 3 This is a schematic diagram of the structure of an equipment operation and maintenance device according to an embodiment of the present disclosure.
[0071] like Figure 3 As shown, the equipment maintenance device 30 can be represented in the form of a general computing device. The equipment maintenance device 30 includes a memory 31, a processor 32, and a bus 33 connecting different system components.
[0072] The memory 31 may include, for example, system memory, non-volatile storage media, etc. System memory may store, for example, an operating system, application programs, a boot loader, and other programs. System memory may include volatile storage media, such as random access memory (RAM) and / or cache memory. Non-volatile storage media may store, for example, instructions for a corresponding embodiment of at least one device maintenance method being executed. Non-volatile storage media include, but are not limited to, disk storage, optical storage, flash memory, etc.
[0073] Processor 32 can be implemented using a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA) or other programmable logic devices, discrete hardware components such as discrete gates or transistors. Accordingly, each module, such as the acquisition module, calculation module, and adjustment module, can be implemented by executing instructions in the central processing unit (CPU) running memory to perform the corresponding steps, or by implementing dedicated circuitry to perform the corresponding steps.
[0074] For example, processor 32 is configured for memory-based instruction execution implementation such as Figure 1 , 2 The method involved in any of the embodiments.
[0075] Bus 33 can use any of the various bus architectures. For example, bus architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MCA) bus, and the Peripheral Component Interconnect (PCI) bus.
[0076] The interfaces 34, 35, and 36 of the equipment maintenance device 30, as well as the memory 31 and processor 32, can be connected via bus 33. Input / output interface 34 provides a connection interface for input / output devices such as monitors, mice, and keyboards. Network interface 35 provides a connection interface for various networked devices. Storage interface 36 provides a connection interface for external storage devices such as floppy disks, USB flash drives, and SD cards.
[0077] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus, and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations thereof, can be implemented by computer-readable program instructions.
[0078] These computer-readable program instructions are provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable device to produce a machine, such that execution of the instructions by the processor produces means for implementing the functions specified in one or more boxes of the flowchart and / or block diagram.
[0079] These computer-readable program instructions may also be stored in a computer-readable storage medium. These instructions cause a computer to work in a particular manner to produce an article of manufacture, including instructions that implement the functions specified in one or more boxes in a flowchart and / or block diagram.
[0080] This disclosure may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects.
[0081] This disclosure also provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement... Figure 1 , 2 The method involved in any of the embodiments.
[0082] This disclosure also provides a computer program product, including computer instructions, wherein the computer instructions, when executed by a processor, implement as follows: Figure 1 , 2 The method involved in any of the embodiments.
[0083] Figure 4 This is a schematic diagram of the structure of an equipment operation and maintenance system according to an embodiment of the present disclosure.
[0084] like Figure 4 As shown, the equipment operation and maintenance system includes a data acquisition device 41, an equipment operation and maintenance unit 42, and an after-sales service terminal 43. The equipment operation and maintenance unit 42 is... Figure 3 The equipment operation and maintenance device involved in any of the embodiments.
[0085] The data acquisition device 41 is configured to acquire real-time operating data of the target device and send the operating data to the device maintenance device 42.
[0086] The after-sales service terminal 43 is configured to display fault warning information sent by the equipment maintenance device 42, so that staff can perform fault repair on the target equipment based on the fault warning information displayed by the after-sales service terminal 43.
[0087] In some embodiments, the after-sales service terminal 43 is further configured to send maintenance reports entered by staff to the equipment maintenance device 42 so that the equipment maintenance device 42 can use the maintenance reports entered by staff to update the maintenance knowledge graph.
[0088] Figure 5 This is a schematic diagram of the structure of an equipment operation and maintenance system according to another embodiment of the present disclosure. Figure 5 and Figure 4 The difference is that, in Figure 5 In the illustrated embodiment, the equipment maintenance system also includes a user terminal 44 for the associated user of the target equipment. The equipment maintenance device 42 also sends fault warning information to the user terminal 44 so that the associated user can promptly understand fault-related information of the target equipment.
[0089] In some embodiments, the user terminal 44 is configured to send a query request to the equipment maintenance device 42, wherein the query request includes fault type information of the target device and presents the response content sent by the equipment maintenance device 42. This allows users to interact with the equipment maintenance device 42 through the user terminal 44, enabling them to learn more about the fault and thus effectively improving the after-sales service experience.
[0090] By implementing the above embodiments of this disclosure, it is possible to determine whether the target device has a fault by analyzing the real-time operating data of the target device. This enables convenient and quick fault repair of the target device while reducing unnecessary inspection work, effectively improving the operation and maintenance efficiency of the target device. At the same time, it also allows for the traceability of fault handling information, further enhancing the quality of after-sales service.
[0091] In some embodiments, the functional units described above may be implemented as general-purpose processors, programmable logic controllers (PLCs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or any suitable combination thereof for performing the functions described herein.
[0092] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.
[0093] The description in this disclosure is provided for illustrative and descriptive purposes only and is not intended to be exhaustive or to limit the disclosure to its forms. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of this disclosure and to enable those skilled in the art to understand this disclosure and to design various embodiments with various modifications suitable for a particular purpose.
Claims
1. A method for equipment operation and maintenance, executed by an equipment operation and maintenance device, comprising: Acquire real-time operating data of the target device; The operational data is analyzed to determine whether the target device is faulty; If it is determined that the target device has a fault of a specified fault type, the location information of the target device is queried using the after-sales maintenance records; A fault warning message is sent to the after-sales service terminal, wherein the fault warning message includes the device identifier of the target device, the location information of the target device, and the fault type information of the target device, so that staff can perform fault repair on the target device according to the fault warning message presented by the after-sales service terminal.
2. The equipment operation and maintenance method according to claim 1, wherein, The analysis of the operational data includes: The operational data is processed using a fault identification model to obtain fault type information of the target device when the target device has a fault of the specified fault type, wherein the fault identification model is a model obtained by training a machine learning model with fault identification. Based on the fault type information of the target device, determine the operation and maintenance plan for the target device.
3. The equipment operation and maintenance method according to claim 2, wherein, The fault warning information also includes the operation and maintenance plan for the target device.
4. The equipment operation and maintenance method according to claim 2, wherein, The step of determining the operation and maintenance plan for the target device based on the fault type information of the target device includes: A fault analysis report is determined based on the fault type information, wherein the fault analysis report includes the specific content of the fault, the candidate causes of the fault, and the scope of the fault's impact; Based on the fault analysis report and the pre-configured maintenance knowledge graph, the operation and maintenance plan for the target equipment is determined.
5. The equipment operation and maintenance method according to claim 4 further includes: Receive maintenance reports input by the staff from the after-sales service terminal; The maintenance report is used to update the maintenance knowledge graph.
6. The equipment operation and maintenance method according to claim 1, wherein, The target equipment includes CT security screening equipment.
7. The equipment operation and maintenance method according to any one of claims 1-6 further includes: Use the after-sales records to query the associated users of the target device; The fault warning information is sent to the user terminal of the associated user so that the user terminal can present the fault warning information to the associated user.
8. The equipment operation and maintenance method according to claim 7 further includes: Receive a query request sent by the user terminal, wherein the query request includes fault type information of the target device; The query request is processed using a trained large language model to obtain a response corresponding to the fault type information of the target device; The response content is sent to the user terminal.
9. An equipment operation and maintenance device, comprising: Memory; A processor, coupled to a memory, is configured to implement the device maintenance method as described in any one of claims 1-8 based on the memory-stored instruction execution.
10. An equipment operation and maintenance system, comprising: The equipment operation and maintenance device as described in claim 9; The data acquisition device is configured to acquire real-time operating data of the target device and send the operating data to the device maintenance unit. The after-sales service terminal is configured to display fault warning information sent by the equipment maintenance device.
11. The equipment operation and maintenance system according to claim 10, wherein, The after-sales service terminal is also configured to send maintenance reports entered by staff to the equipment operation and maintenance device.
12. The equipment operation and maintenance system according to claim 10 or 11 further includes: The user terminal of the associated user of the target device is configured to display the fault warning information sent by the device operation and maintenance device.
13. The equipment operation and maintenance system according to claim 12, wherein, The user terminal is configured to send a query request to the equipment maintenance device, wherein the query request includes fault type information of the target device and presents the response content sent by the equipment maintenance device.
14. A computer-readable storage medium, wherein, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the device operation and maintenance method as described in any one of claims 1-8.
15. A computer program product comprising computer instructions, wherein the computer instructions, when executed by a processor, implement the device operation and maintenance method as described in any one of claims 1-8.