Predictive equipment maintenance method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of industrial control, and provides an equipment predictive maintenance method and device, electronic equipment and a storage medium. According to the method, equipment use information is obtained, a detection plan is determined according to the use information, equipment label point information is obtained based on the detection plan, data analysis is performed on the equipment label point information, and when it is determined that equipment meets maintenance conditions based on the equipment label point information, a maintenance work order is generated and distributed. Therefore, predictive maintenance of the equipment is realized, pertinence of equipment maintenance is improved, resource waste is reduced, and maintenance efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of industrial control technology, and in particular to a method, device, electronic device and storage medium for predictive maintenance of equipment. Background Art

[0002] Traditional equipment maintenance is a planned maintenance strategy, which usually involves periodic inspection and repair of equipment points, preventive maintenance, or post-maintenance. This maintenance method is inefficient, costly, and wastes a lot of resources. Summary of the invention

[0003] In view of this, the embodiments of the present application provide a method, apparatus, electronic device and storage medium for predictive maintenance of equipment to solve the problems of low efficiency and high cost of equipment maintenance in the prior art.

[0004] A first aspect of an embodiment of the present application provides a method for predictive maintenance of equipment, comprising:

[0005] Obtain equipment usage information and determine a testing plan based on the equipment usage information;

[0006] Obtain equipment tag point information based on the inspection plan;

[0007] In response to determining that the equipment meets the maintenance condition based on the equipment tag point information, generating a maintenance work order;

[0008] Dispatch maintenance work orders to enable users to maintain the equipment.

[0009] In some embodiments, the device usage information includes at least one of the device operation time and the number of times the device is turned on and off;

[0010] Determine a testing plan based on equipment usage information, including:

[0011] In response to determining that the device operation time reaches a preset time, determining a detection plan; or

[0012] In response to determining that the number of times the device is turned on and off reaches a preset number, determining a detection plan; or

[0013] Match the equipment operation time and equipment switch times with the preset rule base;

[0014] In response to determining that the device usage information satisfies a target rule in the rule base, a detection plan is determined based on the target rule.

[0015] In some embodiments, the detection plan includes at least a detection cycle;

[0016] Determine a testing plan based on equipment usage information, including:

[0017] Determine the detection cycle according to at least one of the device operation time and the number of times the device is turned on and off;

[0018] Determine the inspection plan based on the inspection cycle.

[0019] In some embodiments, in response to determining that the equipment meets the maintenance condition based on the equipment tag point information, generating a maintenance work order includes:

[0020] In response to determining that the device meets the inspection condition based on the device tag point information, generating an inspection work order; or

[0021] In response to determining that the equipment meets the maintenance condition based on the equipment tag point information, generating a maintenance work order; or

[0022] In response to determining that the equipment meets the maintenance condition based on the equipment tag point information, a maintenance work order is generated.

[0023] In some embodiments, the detection plan includes at least a warning condition, and the method further includes:

[0024] In response to determining that the device meets the warning condition based on the device tag point information, generating warning information;

[0025] Send warning information to users so that they can maintain the equipment based on the warning information.

[0026] In some embodiments, the method further comprises:

[0027] After the maintenance work order is dispatched, in response to receiving the work order expansion information sent by the user, the maintenance work order is expanded to obtain an updated maintenance work order;

[0028] The updated maintenance work order is sent to the user again, so that the user can maintain the device based on the updated maintenance work order.

[0029] In some embodiments, the device includes at least one device;

[0030] In response to the device including a plurality of devices, the detection plan further includes a device identifier and a device label point mapping set, wherein the device label point mapping set includes a mapping relationship between each device and a device label point corresponding to the device;

[0031] Obtain equipment tag point information based on the inspection plan, including:

[0032] Determine a target device, where the target device is any device in the device;

[0033] Get the device label point of the target device from the device label point mapping set;

[0034] The device tag point information of the target device is obtained from a preset database, where the preset database is a database that stores information reported by each device tag point.

[0035] A second aspect of the embodiment of the present application provides a device for predictive maintenance of equipment, including:

[0036] An acquisition module is configured to acquire device usage information and determine a detection plan based on the device usage information;

[0037] The acquisition module is further configured to acquire device tag point information based on the detection plan;

[0038] A generating module configured to generate a maintenance work order in response to determining that the equipment meets the maintenance condition based on the equipment tag point information;

[0039] The sending module is configured to dispatch a maintenance work order so that the user can perform maintenance on the equipment.

[0040] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0041] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0042] The beneficial effects of the embodiments of the present application compared with the prior art are as follows: the embodiments of the present application obtain equipment usage information, determine a detection plan based on the usage information, then obtain equipment tag point information based on the detection plan, and perform data analysis on the equipment tag point information. When it is determined based on the equipment tag point information that the equipment meets the maintenance conditions, a maintenance work order is generated and dispatched, thereby realizing predictive maintenance of the equipment, improving the targeted nature of equipment maintenance, reducing resource waste, and improving maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 It is a scenario diagram of an application scenario of an embodiment of the present application.

[0045] Figure 2 It is a flow chart of a method for predictive maintenance of equipment provided in an embodiment of the present application.

[0046] Figure 3It is a flowchart of a method for determining a detection plan based on equipment usage information provided in an embodiment of the present application.

[0047] Figure 4 It is a flowchart of a method for determining a detection plan based on equipment usage information provided in an embodiment of the present application.

[0048] Figure 5 It is a flow chart of another equipment predictive maintenance method provided in an embodiment of the present application.

[0049] Figure 6 It is a flow chart of another equipment predictive maintenance method provided in an embodiment of the present application.

[0050] Figure 7 It is a flow chart of another equipment predictive maintenance method provided in an embodiment of the present application.

[0051] Figure 8 It is a schematic diagram of a device predictive maintenance apparatus provided in an embodiment of the present application.

[0052] Fig. 9 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0054] A method and apparatus for predictive maintenance of equipment according to an embodiment of the present application will be described in detail below with reference to the accompanying drawings.

[0055] Figure 1 1 is a schematic diagram of an application scenario of an embodiment of the present application. The application scenario may include devices 1, 2 and 3, a terminal 4 and a network 5.

[0056] Devices 1, 2 and 3 can support various industrial devices that communicate with terminal 4. Furthermore, devices 1, 2 and 3 can be provided with various tag points, etc., for providing tag point information of the device to the terminal, such as device operation information, device status information, etc.

[0057] The terminal 4 may be a server or other terminal with certain processing capabilities. It should be noted that the terminal 4 may be hardware or software, and the embodiment of the present application does not limit this.

[0058] The network 5 can be a wired network connected by coaxial cable, twisted pair and optical fiber, or it can be a wireless network that can interconnect various communication devices without wiring, such as Bluetooth, Near Field Communication (NFC), infrared, etc., which is not limited in the embodiments of the present application.

[0059] The user can establish a communication connection with the terminal 4 through the network 5 through the devices 1, 2 and 3, so that the terminal 4 formulates a detection plan according to the received usage information of the devices 1, 2 and 3, and obtains the corresponding tag point information from the devices 1, 2 and 3 according to the detection plan. The terminal 4 can analyze the acquired tag point information of each device by itself, and when it is determined that the equipment needs maintenance or warning according to the analysis results, it dispatches a maintenance task or sends a warning message to the user.

[0060] It should be noted that the specific types, quantities and combinations of devices 1, 2 and 3, terminal 4 and network 5 can be adjusted according to the actual needs of the application scenario, and the embodiments of the present application are not limited to this.

[0061] As mentioned above, traditional equipment maintenance is a planned maintenance strategy, which usually involves periodic equipment inspections and repairs, as well as preventive maintenance or post-maintenance. This maintenance method is inefficient, costly, and wastes a lot of resources.

[0062] In view of this, an embodiment of the present application provides a method for predictive maintenance of equipment, which obtains equipment usage information, determines a detection plan based on the usage information, then obtains equipment tag point information based on the detection plan, and performs data analysis on the equipment tag point information. When it is determined based on the equipment tag point information that the equipment meets the maintenance conditions, a maintenance work order is generated and dispatched, thereby realizing predictive maintenance of the equipment, improving the targetedness of equipment maintenance, reducing resource waste, and improving maintenance efficiency.

[0063] Figure 2 It is a flow chart of a method for predictive maintenance of equipment provided in an embodiment of the present application. Figure 2 The predictive maintenance method of equipment can be Figure 1 Terminal execution. Figure 2 As shown, the method comprises the following steps:

[0064] In step S201, device usage information is obtained, and a detection plan is determined based on the device usage information.

[0065] In step S202, equipment tag point information is obtained based on the detection plan.

[0066] In step S203, in response to determining that the equipment meets the maintenance condition based on the equipment tag point information, a maintenance work order is generated.

[0067] In step S204, a maintenance work order is issued so that the user can perform maintenance on the equipment.

[0068] In certain embodiments of the present application, the terminal can obtain the usage information of the device and determine the detection plan based on the obtained device usage information. Different from the related art that uses a fixed period to maintain the device, the technical solution provided by the embodiment of the present application can formulate a detection plan based on the device usage information, thereby improving the effectiveness of device detection, discovering device problems in advance through less frequent detection, and then maintaining the device.

[0069] In some embodiments, after determining the detection plan, the terminal can obtain the device tag point information based on the detection plan. In one example, if the terminal determines the detection plan of device A, and device A has tag points a, b, and c, the terminal can obtain the information of the tag points a, b, and c in a preset time period, which can be, for example, the duration from the last detection to this detection, or a custom duration, which is not limited here.

[0070] Furthermore, the terminal can also perform data analysis on the acquired device tag information, and if it is determined that the device meets the maintenance conditions according to the device tag information, a maintenance work order is generated. The terminal can perform data analysis on the device tag information by matching the device tag information with a preset maintenance rule base, and if the device tag information meets the maintenance rules in the preset maintenance rule base, it is determined that the device meets the maintenance conditions.

[0071] For example, if the preset maintenance rule base for device A is that device A needs maintenance if the information of tag point a satisfies the first rule, the information of tag point b satisfies the second rule, and the information of tag point c satisfies the third rule. Then, the terminal can match the acquired tag point information of device A with the rule base, and if it is determined that the information of tag point a satisfies the first rule, the information of tag point b satisfies the second rule, and the information of tag point c satisfies the third rule, it is determined that device A meets the maintenance condition.

[0072] Furthermore, the terminal can also distribute the generated maintenance work order to the user so that the user can maintain the device. The maintenance work order can record the device identification and tag point information, and can also record the work order trigger time to facilitate subsequent tracking management.

[0073] According to the technical solution provided in the embodiment of the present application, by obtaining equipment usage information, determining a detection plan based on the usage information, then obtaining equipment label point information based on the detection plan, and performing data analysis on the equipment label point information, when it is determined based on the equipment label point information that the equipment meets the maintenance conditions, a maintenance work order is generated and dispatched, thereby achieving predictive maintenance of the equipment, improving the targeted nature of equipment maintenance, reducing resource waste, and improving maintenance efficiency.

[0074] In some embodiments of the present application, the device usage information includes at least one of the device operation time and the number of times the device is turned on and off.

[0075] Figure 3 is a flow chart of a method for determining a detection plan based on device usage information provided in an embodiment of the present application. Figure 3 As shown, the method comprises the following steps:

[0076] In step S301, in response to determining that the device operation time reaches a preset time, a detection plan is determined.

[0077] In step S302, in response to determining that the number of times the device is turned on and off reaches a preset number, a detection plan is determined.

[0078] In step S303, the device operation time and the number of times the device is turned on and off are matched with a preset rule base.

[0079] In step S304, in response to determining that the device usage information satisfies a target rule in the rule base, a detection plan is determined based on the target rule.

[0080] In some embodiments of the present application, determining a detection plan based on device usage information may be, in response to determining that the device operating time reaches a preset time, determining the detection plan; or, in response to determining that the device is switched on and off a preset number of times, determining the detection plan; or, in response to determining that the device operating time and the device switching times reach a preset number of times, matching the device operating time and the device switching times with a preset rule base, and determining the detection plan based on the target rule in response to determining that the device usage information satisfies the target rule in the rule base.

[0081] In response to determining that the device operation time reaches a preset time, determining the detection plan may be to trigger the terminal to determine the detection plan when the device operation time reaches different preset time. In response to determining that the number of times the device is turned on and off reaches a preset number, determining the detection plan may also be to trigger the terminal to determine the detection plan when the number of times the device is turned on and off reaches different preset numbers. The preset time and preset number of times that trigger the terminal to determine the detection plan may be set according to an empirical value, or may be trained based on the historical data of the device to train a prediction model, and then predicted using the prediction model.

[0082] Alternatively, a rule base may be preset, and then the device operation time and the number of device switches may be matched with the preset rule base. When at least one of the device operation time and the number of device switches satisfies the rule in the preset rule base, the terminal may be triggered to determine the detection plan. For example, if the device operation time satisfies the first preset rule, the terminal may be triggered to determine the detection plan. Alternatively, if the device operation time satisfies the second preset rule and the number of device switches satisfies the third preset rule, the terminal may be triggered to determine the detection plan. Alternatively, if the number of device switches satisfies the fourth preset rule, the terminal may be triggered to determine the detection plan.

[0083] In certain embodiments of the present application, a detection plan may include a detection cycle.

[0084] Figure 4 is a flow chart of a method for determining a detection plan based on device usage information provided in an embodiment of the present application. Figure 4 As shown, the method comprises the following steps:

[0085] In step S401, a detection period is determined according to at least one of the device operation time and the number of times the device is turned on and off.

[0086] In step S402, a detection plan is determined based on the detection cycle.

[0087] In some embodiments of the present application, the detection period can also be determined according to at least one of the device operation time and the number of device switching times, and then the detection plan can be determined based on the detection period. That is, the detection period can be determined first, and then the detection plan can be determined based on the detection period, that is, other detection parameters in the detection plan of each period can be determined, such as detecting other detection conditions.

[0088] In some embodiments, in response to determining that the equipment meets the maintenance conditions based on the equipment tag point information, a maintenance work order is generated. It can be that in response to determining that the equipment meets the inspection conditions based on the equipment tag point information, an inspection work order is generated; or in response to determining that the equipment meets the maintenance conditions based on the equipment tag point information, a maintenance work order is generated; or in response to determining that the equipment meets the repair conditions based on the equipment tag point information, a repair work order is generated.

[0089] In one example, the detection plan may also include warning conditions.

[0090] Figure 5 : is a flow chart of another equipment predictive maintenance method provided in an embodiment of the present application. Figure 5 Steps S501 to S504 in the embodiment shown are Figure 2 Steps S201 to S204 in the illustrated embodiment are substantially the same. Figure 5 As shown, the method also includes the following steps:

[0091] In step S505, in response to determining that the device meets the warning condition based on the device tag point information, warning information is generated.

[0092] In step S506, a warning message is sent to the user so that the user can maintain the device based on the warning message.

[0093] In some embodiments of the present application, after receiving the device tag point information, the terminal can generate warning information when it determines that the device meets the warning condition after data analysis of the tag point information. Further, the terminal can also send the warning information to the owner so that the user can maintain the device based on the warning information.

[0094] Figure 6 : is a flow chart of another equipment predictive maintenance method provided in the embodiment of the present application. Figure 6 Steps S601 to S604 in the embodiment shown are Figure 2 Steps S201 to S204 in the illustrated embodiment are substantially the same. Figure 6 As shown, the method also includes the following steps:

[0095] In step S605, after the maintenance work order is dispatched, in response to receiving the work order expansion information sent by the user, the maintenance work order is expanded to obtain an updated maintenance work order.

[0096] In step S606, the updated maintenance work order is sent to the user again, so that the user can perform maintenance on the device based on the updated maintenance work order.

[0097] In certain embodiments of the present application, after a maintenance work order is issued, when the user arrives on-site to perform maintenance on the equipment, he or she may find that the equipment needs to be maintained for items other than the maintenance items recorded in the maintenance work order. At this time, the user may send work order expansion information to the terminal, and after receiving the work order expansion information sent by the user, the terminal expands the maintenance work order and adds the maintenance items to be added to the maintenance work order to obtain an updated maintenance work order.

[0098] Furthermore, the terminal sends the updated maintenance work order to the user again, so that the user can perform maintenance on the device based on the updated maintenance work order.

[0099] In some embodiments of the present application, the device includes at least one device. If the device includes multiple devices, the detection plan may also include a device identifier and a device tag point mapping set, wherein the device tag point mapping set includes a mapping relationship between each device and the device tag point corresponding to the device.

[0100] At this time, obtaining device label point information based on the detection plan can be: determining the target device, where the target device is any device among the devices; obtaining the device label point of the target device from the device label point mapping set; obtaining the device label point information of the target device from a preset database, where the preset database is a database that stores information reported by each device label point.

[0101] Figure 7 FIG. 1 is a flow chart of another equipment predictive maintenance method provided in an embodiment of the present application. Figure 7 As shown, a predictive detection plan can be set up first according to the equipment usage, and the equipment tag point information saved in the real-time database can be obtained when the predictive detection plan is triggered. Data analysis is performed on the obtained equipment tag point information. If it is determined that it meets the triggering conditions, it is determined whether an early warning is required. If so, the early warning information is sent to the work order processor. If not, it is further determined whether a new maintenance work order needs to be generated. If necessary, a maintenance work order is generated and sent to the work order executor.

[0102] Furthermore, after executing the work order, the work order executor can determine whether the device tag point information of each device needs to be reset. If so, the device tag point information of the corresponding device in the above real-time database is reset, otherwise the process ends.

[0103] Furthermore, if the terminal determines that the trigger condition is not currently met, or the terminal determines that there is no need to generate a new maintenance work order at present, the device tag point information can be obtained from the real-time database again according to the predictive detection plan, and the above-mentioned process of performing data analysis on the device tag point information and performing corresponding operations based on the analysis results can be re-executed.

[0104] Among them, the detection plan can select equipment, and supports multiple selection. It can set detection conditions, warning conditions and reset label conditions. In the predictive detection plan, you can set conditions (parameters) such as equipment operation time and number of switches. When the conditions are met, the corresponding repair, maintenance (lubrication), inspection and other work orders are automatically generated, reducing the work of manually compiling related work orders. Through the work order, the relevant personnel are driven to repair, maintain, inspect and other operations on the equipment, and the warning conditions can also be set. After setting the warning conditions, if the warning conditions are met, the operator will not only receive the corresponding work order in his own agency, but also send a text message reminder to the corresponding personnel.

[0105] When collecting and analyzing data, you can preset a cycle, for example, to obtain the device tag point information in the real-time database every 3 minutes. This preset cycle can be set according to the detection plan. At the same time, you can also obtain the relationship between the device and the tag, as well as the detection trigger conditions. If the trigger conditions are met, the corresponding work order will be generated.

[0106] The work order handler can not only receive SMS reminders, but also see the tasks for the day, reminding the operator to handle the corresponding work order in time. In the inspection plan, when the conditions are met to trigger a work order process, the equipment and tag values ​​that are met at that time, as well as the triggering time, can also be recorded to ensure that there is a traceable trace.

[0107] In addition, the forecast plan also supports dynamic expansion of work orders and is compatible with secondary development work orders.

[0108] By adopting the technical solution of the embodiment of the present application, by detecting the parameters of the equipment, relevant inspection work orders, lubrication work orders, maintenance work orders, etc. can be generated, and whether to alarm can be set. If the early warning parameters are set, the work order processor will be reminded when the early warning conditions are met. And the corresponding processor is assigned with the task of handling, so that the work order processor can handle the equipment abnormality in a timely and rapid manner.

[0109] Furthermore, data analysis is used instead of manpower to track and evaluate equipment performance, discover and diagnose potential equipment failures, automatically trigger work orders, and proactively intervene and improve equipment in the early stages of equipment failures and hidden dangers to maintain the core performance of the equipment, reduce the frequency and duration of unplanned equipment downtime, and make the equipment healthier and more stable within its design life cycle.

[0110] At the same time, the combination of business and workflow will automatically distribute the corresponding work orders to specific handlers. Managers can clearly see the data and status of each link, thereby providing data support for subsequent business management, saving costs and avoiding excessive equipment maintenance.

[0111] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0112] The following are device embodiments of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0113] Figure 8 Schematic diagram of a device predictive maintenance device provided in an embodiment of the present application. Figure 8 As shown, the device comprises:

[0114] The acquisition module 801 is configured to acquire device usage information and determine a detection plan based on the device usage information.

[0115] The acquisition module 801 is further configured to acquire device tag point information based on the detection plan.

[0116] The generating module 802 is configured to generate a maintenance work order in response to determining that the equipment meets the maintenance condition based on the equipment tag point information.

[0117] The sending module 803 is configured to dispatch a maintenance work order so that the user can perform maintenance on the equipment.

[0118] According to the technical solution provided in the embodiment of the present application, by obtaining equipment usage information, determining a detection plan based on the usage information, then obtaining equipment label point information based on the detection plan, and performing data analysis on the equipment label point information, when it is determined based on the equipment label point information that the equipment meets the maintenance conditions, a maintenance work order is generated and dispatched, thereby achieving predictive maintenance of the equipment, improving the targeted nature of equipment maintenance, reducing resource waste, and improving maintenance efficiency.

[0119] In some embodiments, the device usage information includes at least one of the device operating time and the number of times the device is turned on and off; determining a detection plan based on the device usage information includes: determining a detection plan in response to determining that the device operating time reaches a preset time; or determining a detection plan in response to determining that the number of times the device is turned on and off reaches a preset number of times; or matching the device operating time and the number of times the device is turned on and off with a preset rule base; in response to determining that the device usage information satisfies a target rule in the rule base, determining a detection plan based on the target rule.

[0120] In some embodiments, the detection plan includes at least a detection period; determining the detection plan based on device usage information includes: determining the detection period based on at least one of the device operating time and the number of times the device is turned on and off; and determining the detection plan based on the detection period.

[0121] In some embodiments, in response to determining that the equipment meets maintenance conditions based on the equipment tag point information, a maintenance work order is generated, including: in response to determining that the equipment meets inspection conditions based on the equipment tag point information, an inspection work order is generated; or in response to determining that the equipment meets maintenance conditions based on the equipment tag point information, a maintenance work order is generated; or in response to determining that the equipment meets repair conditions based on the equipment tag point information, a repair work order is generated.

[0122] In some implementations, the detection plan includes at least warning conditions, and further includes: generating warning information in response to determining that the device meets the warning conditions based on the device tag point information; sending the warning information to the user so that the user can maintain the device based on the warning information.

[0123] In some implementations, the method further includes: after issuing a maintenance work order, in response to receiving work order expansion information sent by a user, expanding the maintenance work order to obtain an updated maintenance work order; and issuing the updated maintenance work order to the user again so that the user can maintain the equipment based on the updated maintenance work order.

[0124] In some embodiments, the device includes at least one device; in response to the device including multiple devices, the detection plan also includes a device identification and a device label point mapping set, the device label point mapping set including a mapping relationship between each device and the device label point corresponding to the device; obtaining device label point information based on the detection plan includes: determining a target device, the target device is any device among the devices; obtaining the device label point of the target device from the device label point mapping set; obtaining the device label point information of the target device from a preset database, the preset database being a database for storing information reported by each device label point.

[0125] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0126] Fig. 9 Schematic diagram of an electronic device provided in an embodiment of the present application. Fig. 9 As shown, the electronic device 9 of this embodiment includes: a processor 901, a memory 902, and a computer program 903 stored in the memory 902 and executable on the processor 901. When the processor 901 executes the computer program 903, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 901 executes the computer program 903, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0127] The electronic device 9 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 9 may include, but is not limited to, a processor 901 and a memory 902. Those skilled in the art will appreciate that Fig. 9 The electronic device 9 is merely an example and does not limit the electronic device 9 , and may include more or less components than those shown in the figure, or different components.

[0128] The processor 901 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0129] The memory 902 may be an internal storage unit of the electronic device, for example, a hard disk or memory of the electronic device 9. The memory 902 may also be an external storage device of the electronic device 9, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 9. The memory 902 may also include both an internal storage unit of the electronic device 9 and an external storage device. The memory 902 is used to store computer programs and other programs and data required by the electronic device.

[0130] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0131] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, which may be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0132] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for predictive maintenance of equipment, characterized in that: include: Acquire device usage information, and determine a testing plan based on the device usage information; Acquire equipment tag point information based on the detection plan; In response to determining that the equipment meets the maintenance condition based on the equipment tag point information, generating a maintenance work order; The maintenance work order is dispatched so that the user can perform maintenance on the equipment.

2. The method according to claim 1, characterized in that: The device usage information includes at least one of the device operation time and the number of times the device is turned on and off; The determining of a detection plan based on the device usage information includes: In response to determining that the operation time of the device reaches a preset time, determining the detection plan; or In response to determining that the number of times the device is turned on and off reaches a preset number, determining the detection plan; or Matching the device operation time and the device switching times with a preset rule base; In response to determining that the device usage information satisfies a target rule in the rule base, the detection plan is determined based on the target rule.

3. The method according to claim 1, characterized in that The testing plan at least includes a testing cycle; The determining of a detection plan based on the device usage information includes: Determine a detection period according to at least one of the operation time of the device and the number of times the device is turned on and off; A testing plan is determined based on the testing period.

4. The method according to claim 1, characterized in that: The generating of a maintenance work order in response to determining that the equipment meets the maintenance condition based on the equipment tag point information includes: In response to determining that the device meets the inspection condition based on the device tag point information, generating an inspection work order; or In response to determining that the equipment meets the maintenance condition based on the equipment tag point information, generating a maintenance work order; or In response to determining that the equipment meets the maintenance condition based on the equipment tag point information, a maintenance work order is generated.

5. The method according to claim 1, characterized in that The detection plan includes at least an early warning condition, and the method further includes: In response to determining that the device meets the warning condition based on the device tag point information, generating warning information; Sending warning information to the user so that the user can maintain the device based on the warning information.

6. The method according to claim 1, characterized in that The method further comprises: After the maintenance work order is dispatched, in response to receiving work order expansion information sent by the user, the maintenance work order is expanded to obtain an updated maintenance work order; The updated maintenance work order is sent to the user again, so that the user can perform maintenance on the device based on the updated maintenance work order.

7. The method according to any one of claims 1 to 6, characterized in that The apparatus comprises at least one device; In response to the device including a plurality of devices, the detection plan further includes a device identifier and a device label point mapping set, wherein the device label point mapping set includes a mapping relationship between each device and a device label point corresponding to the device; The obtaining of equipment label point information based on the detection plan includes: Determine a target device, where the target device is any one of the devices; Acquire the device label point of the target device from the device label point mapping set; The device tag point information of the target device is obtained from a preset database, where the preset database is a database that stores information reported by each device tag point.

8. A predictive maintenance device for equipment, characterized in that: include: an acquisition module, configured to acquire device usage information and determine a detection plan based on the device usage information; The acquisition module is further configured to acquire device tag point information based on the detection plan; A generating module configured to generate a maintenance work order in response to determining that the equipment meets the maintenance condition based on the equipment tag point information; The sending module is configured to dispatch the maintenance work order so that the user can perform maintenance on the equipment.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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