Prediction repair, state repair and plan repair fusion method and device, electronic equipment and storage medium
By obtaining the alarm information of the sudden maintenance task of the equipment to be repaired, the emergency score is determined based on the safety level and frequency, the target planned tasks are determined in combination with the maintenance type, and it is integrated into the planned repair work order, which solves the problems of low efficiency and high failure rate caused by the large number of alarms in traditional operation and maintenance, and achieves efficient and predictive operation and maintenance management.
Patent Information
- Application Number
- CN202510450193.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-10
- Publication Date
- 2025-07-29
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In traditional operation and maintenance, the accuracy limitations of status alarms and prediction alarms lead to a large number of alarms, which seriously disrupts planned repair work, reduces efficiency, and has a high equipment failure rate.
By obtaining the alarm information of the sudden maintenance task of the equipment to be repaired, the emergency score is determined based on the safety level and alarm frequency, the target planned tasks are determined based on the maintenance type, and it is integrated into the planned repair ticket to balance response efficiency and effectiveness.
It improves the efficiency and predictability of planned repairs, reduces the failure rate of equipment, and avoids the inability to complete the original planned repair tasks due to the surge in sudden maintenance tasks.
Smart Images

Figure CN120387806A_ABST
Abstract
Description
Technical Field
[0001] Embodiments of the present application relate to operation and maintenance technologies, and in particular, to a method, device, equipment, and medium for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance. Background Art
[0002] In traditional operation and maintenance work, it is necessary to carry out routine inspections plannedly and repair sudden failures. With the upgrade of sensor technology and the application of intelligent algorithms, condition alarms and predictive alarms can be realized.
[0003] In the prior art, in order to reduce the failure rate, it is necessary to respond to condition alarms and predictive alarms in real time.
[0004] However, due to the limitations of the accuracy of condition alarms and predictive alarms, the number of condition alarms and predictive alarms is relatively large, which will seriously disrupt the original scheduled maintenance operation and maintenance work, reduce the efficiency of scheduled maintenance, and lack of predictability without combining alarm information will result in a high failure rate of equipment. Summary of the Invention
[0005] The present application provides a method, device, equipment, and medium for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance to improve the efficiency and predictability of scheduled maintenance and reduce the failure rate of equipment.
[0006] In a first aspect, an embodiment of the present application provides a method for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance. The method for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance includes:
[0007] Obtain alarm information corresponding to sudden maintenance tasks other than the scheduled maintenance tasks of the equipment to be maintained; the sudden maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks;
[0008] Determine the emergency score of the alarm information according to the security level and alarm frequency of the alarm information;
[0009] Determine the target planned task corresponding to the sudden maintenance task according to the emergency score and the maintenance type of the sudden maintenance task;
[0010] Add the target planned task to the scheduled maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the scheduled maintenance task.
[0011] In a second aspect, an embodiment of the present application further provides a device for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance. The device for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance includes:
[0012] An alarm information acquisition module, configured to obtain alarm information corresponding to sudden maintenance tasks other than the scheduled maintenance tasks of the equipment to be maintained; the sudden maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks;
[0013] An emergency score determination module, configured to determine an emergency score of an alarm message according to the security level and alarm frequency of the alarm message;
[0014] A target planned task determination module, configured to determine a target planned task corresponding to a sudden maintenance task according to the emergency score and the maintenance type of the sudden maintenance task;
[0015] A planned work order modification module, configured to add the target planned task to the planned work order of the device to be maintained, so as to integrate the predicted maintenance task and the condition-based maintenance task into the planned maintenance task.
[0016] Thirdly, an embodiment of the present application further provides an electronic device, which includes:
[0017] One or more processors;
[0018] A storage device, configured to store one or more programs;
[0019] When the one or more programs are executed by the one or more processors, the one or more processors implement any one of the prediction-based maintenance, condition-based maintenance, and planned maintenance fusion methods provided by the embodiments of the present application.
[0020] Fourthly, an embodiment of the present application further provides a storage medium including computer-executable instructions, and the computer-executable instructions are used to execute any one of the prediction-based maintenance, condition-based maintenance, and planned maintenance fusion methods provided by the embodiments of the present application when executed by a computer processor.
[0021] This application obtains alarm information corresponding to emergency maintenance tasks outside the planned maintenance tasks of the equipment to be maintained; the emergency maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks; according to the security level and alarm frequency of the alarm information, the emergency score of the alarm information is determined. Through the emergency score, the urgency of the alarm information corresponding to the emergency maintenance task can be determined; according to the emergency score and the maintenance type of the emergency maintenance task, the target planned task corresponding to the emergency maintenance task is determined. Based on the two factors of the emergency score and the maintenance type, a more reasonable target planned task can be determined, which can enable the target planned task to not only meet the timely processing of the emergency maintenance task, but also reduce the interference of the emergency maintenance task on the planned maintenance task, and avoid the phenomenon that the original planned maintenance task cannot be completed due to the surge of emergency maintenance tasks; the target planned task is added to the planned maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the planned maintenance task. The alarm information can be effectively responded to through the planned maintenance work order, rather than mechanically and immediately responding to all emergency maintenance tasks, balancing the efficiency and effectiveness of the response to the alarm information. At the same time, since the target planned task determined according to the alarm information has predictability, the predictability of the planned maintenance work order after adding the target planned task can be improved, and the equipment failure rate can be reduced. Therefore, through the technical solution of this application, the problem that a large number of status alarms and predictive alarms will seriously disrupt the original planned maintenance operation and maintenance work, reduce the efficiency of planned maintenance, and the lack of predictability of planned maintenance without combining alarm information will result in a high equipment failure rate is solved, and the effects of improving the efficiency and predictability of planned maintenance and reducing the equipment failure rate are achieved. Description of the Drawings
[0022] Figure 1 is a flowchart of a method for integrating predictive maintenance, condition-based maintenance, and planned maintenance in Embodiment 1 of this application;
[0023] Figure 2 is a flowchart of a method for integrating predictive maintenance, condition-based maintenance, and planned maintenance in Embodiment 2 of this application;
[0024] Figure 3 is a flowchart of a method for integrating predictive maintenance, condition-based maintenance, and planned maintenance in Embodiment 3 of this application;
[0025] Figure 4 is a schematic structural diagram of a device for integrating predictive maintenance, condition-based maintenance, and planned maintenance in Embodiment 4 of this application;
[0026] Figure 5 is a schematic structural diagram of an electronic device in Embodiment 5 of this application. Detailed Implementation Modes
[0027] To enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solution in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.
[0028] It should be noted that the terms "first" and "second" in the specification, claims and above-mentioned drawings of this application are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of this application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.
[0029] Embodiment 1
[0030] Figure 1 It is a flowchart of a method for integrating predictive maintenance, condition-based maintenance and scheduled maintenance provided for Embodiment 1 of this application. This embodiment is applicable to the situation of integrating suddenly triggered condition-based maintenance tasks and / or predictive maintenance tasks into scheduled maintenance tasks. This method can be executed by a device for integrating predictive maintenance, condition-based maintenance and scheduled maintenance. This device can be implemented by software and / or hardware and is specifically configured in an operation and maintenance platform.
[0031] See Figure 1 The method for integrating predictive maintenance, condition-based maintenance and scheduled maintenance shown, specifically includes the following steps:
[0032] S110. Obtain the alarm information corresponding to the sudden maintenance tasks other than the scheduled maintenance tasks of the equipment to be maintained; the sudden maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks.
[0033] The sudden maintenance information can be sudden maintenance task information, that is, the operation and maintenance tasks other than the scheduled maintenance. Specifically, the sudden maintenance information can include predictive maintenance information and condition-based maintenance information. Traditional operation and maintenance tasks include two types: fault repair tasks and scheduled maintenance tasks. Fault repair tasks are operation and maintenance tasks where the equipment has broken down and the maintenance workers must repair them, and they are operation and maintenance work that must be responded to immediately. Scheduled maintenance tasks are operation and maintenance tasks for performing inspections according to a fixed plan (such as regularly changing the oil of a car), and they are planned operation and maintenance work.
[0034] With the upgrading of sensor technology and the application of intelligent algorithms, two types of tasks, predictive maintenance tasks and condition-based maintenance tasks, have been added to the operation and maintenance work. Predictive maintenance tasks can be predictive operation and maintenance tasks generated based on alarm information obtained through prediction using status data and operation data monitored by sensors, etc., and are a type of sudden operation and maintenance work. Condition-based maintenance tasks can be sudden operation and maintenance tasks generated based on the status data monitored by sensors. For example, a condition-based maintenance task can be that the clarity of the probe has decreased and needs to be cleaned.
[0035] The alarm information can be the alarm information for generating predictive maintenance tasks or condition-based maintenance tasks. Exemplarily, the alarm information can include alarm content, alarm type, equipment number, equipment location, cause of generation, generation time, etc., and the present application does not make specific limitations thereto. Among them, the alarm type can include predictive alarms and condition alarms. For example, the alarm information can be that at X o'clock on X month X day of X year, for equipment B at location A, predictive alarm, temperature too high, where X is used to represent a number, A is used to represent a location, and B is used to represent the equipment name or equipment identifier.
[0036] The equipment to be overhauled can be electromechanical equipment that needs operation and maintenance. For example, the equipment to be overhauled can be elevators, power supply equipment, distribution equipment, etc., and the present application does not make specific limitations thereto. In operation and maintenance work, monitoring equipment such as sensors and cameras can be used to monitor the equipment to be overhauled. When the sensors detect that the status data of the equipment to be overhauled is abnormal, corresponding condition alarms can be issued, and based on the status data and action data and other monitoring data in the monitoring equipment such as sensors and cameras, a deep learning model can be used to predict the faults of the equipment to be overhauled. When the prediction result is that a fault may occur, corresponding predictive alarms can be issued.
[0037] In the prior art, after obtaining the alarm information, corresponding predictive maintenance tasks or condition-based maintenance tasks are generated, and the operation and maintenance personnel need to immediately respond to the predictive maintenance tasks or condition-based maintenance tasks. In order to integrate predictive maintenance tasks and condition-based maintenance tasks into planned maintenance tasks, the present application obtains the alarm information corresponding to the sudden overhaul tasks other than the planned maintenance tasks of the equipment to be overhauled, so as to determine the target planned tasks corresponding to the sudden overhaul tasks according to the alarm information.
[0038] S120. Determine the emergency score of the alarm information according to the security level and alarm frequency of the alarm information.
[0039] The security level can be an evaluation index for measuring the security of the event corresponding to the alarm information and is used to determine the emergency score of the alarm information. Exemplarily, the security level can be comprehensively measured from multiple aspects. For example, the security level can be a comprehensive level considering personal safety and service safety, etc.
[0040] In an alternative embodiment, the alarm frequency corresponding to the alarm information may be determined based on the alarm logs within a preset log duration.
[0041] The preset log duration may be the duration of the alarm logs based on which the alarm frequency is statistically calculated. Exemplarily, the preset log duration may be determined by professional technicians based on experience or tests, and the present application does not make specific limitations thereto. For example, the preset log duration may be one month, one week, or one ten-day period, etc. The alarm frequency may be the number of alarms of the same alarm information in the historical alarm logs within the preset log duration, and is used to determine the emergency score corresponding to the alarm information. The higher the alarm frequency, the higher the emergency level corresponding to the corresponding alarm information. Exemplarily, some electromechanical devices may experience occasional fault events, the faults are short-lived and do not affect the subsequent normal operation of the electromechanical devices. For example, the elevator door closes slowly, or the elevator door repeatedly opens and closes, or the sensor device may also have occasional data errors due to its own error tolerance, resulting in false alarms. For such alarm information, the emergency score corresponding to the alarm information can be measured by the alarm frequency.
[0042] Specifically, the alarm frequency may be determined in the following manner: Obtain the alarm logs within the preset log duration, count the number of alarms in the alarm logs that are the same as the alarm content in the alarm information, and determine the number of alarms as the alarm frequency corresponding to the alarm information.
[0043] Exemplarily, the emergency score of the alarm information may be determined based on the security level and the alarm frequency through a preset emergency evaluation model. Exemplarily, the emergency score of the alarm information may be determined by professional technicians based on experience or tests, and the present application does not make specific limitations thereto. The preset emergency evaluation model may be a mathematical model or a deep learning model, etc., and the present application does not make specific limitations thereto. For example, first, through an emergency evaluation matrix, the emergency level of the alarm information may be preliminarily determined based on the security level and the alarm frequency (the emergency level may include 5 levels), and then the corresponding score determination formula may be determined according to different emergency levels, and the emergency score of the alarm information may be determined according to the score determination formula corresponding to different emergency levels.
[0044] S130. Determine the target planned task corresponding to the emergency repair task according to the emergency score and the repair type of the emergency repair task.
[0045] The maintenance type can be the type corresponding to the maintenance task in the operation and maintenance work, and is used to determine the target planned task corresponding to the sudden maintenance task. Exemplarily, the maintenance type can include scheduled maintenance, predictive maintenance, and condition-based maintenance. The target planned task can be a maintenance task of the scheduled maintenance type converted from the sudden maintenance task. The maintenance type of the predictive maintenance task is predictive maintenance; the maintenance type of the condition-based maintenance task is condition-based maintenance. When the emergency scores of different maintenance types are the same, the corresponding target planned tasks can be different. Exemplarily, corresponding maintenance type weights can be configured for different maintenance types, and are used to determine the target planned tasks corresponding to different maintenance types.
[0046] Exemplarily, the fault-free duration of the equipment to be maintained can be predicted according to the emergency score and the maintenance type of the sudden maintenance task, and the target planned task corresponding to the sudden maintenance task can be determined according to the predicted value of the fault-free duration. The scheduled maintenance tasks include daily inspection, weekly inspection, monthly inspection, quarterly inspection, annual inspection, overhaul, etc. The sudden maintenance task can be converted into scheduled maintenance tasks with different maintenance cycles according to the predicted value of the fault-free duration.
[0047] S140. Add the target planned task to the scheduled maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the scheduled maintenance task.
[0048] The scheduled maintenance work order can be a maintenance work order determined according to the scheduled maintenance task. Accordingly, the corresponding operation and maintenance personnel perform daily operation and maintenance work according to the scheduled maintenance work order. Adding the target planned task to the scheduled maintenance work order of the equipment to be maintained to correct the scheduled maintenance work order according to the target planned task can timely respond to the alarm information corresponding to the sudden maintenance task, and balance the impact of alarm information with different emergency levels on the scheduled maintenance by the determined target planned task, so as to avoid a sudden increase in the workload of the operation and maintenance personnel due to the alarm information.
[0049] Specifically, when there is a scheduled maintenance task of the equipment to be maintained in the scheduled maintenance work order, the target planned task can be added after the original scheduled maintenance method, and the original scheduled maintenance task can be marked with a strikethrough to prompt the maintenance personnel to perform maintenance according to the target planned task; or, the original scheduled maintenance method can also be directly replaced with the target planned task, that is, the original scheduled maintenance task can be directly covered by the target planned task.
[0050] The accuracy of the existing predictive alarms and condition alarms is not high, and the number of alarms is much higher than that of fault alarms. If each predictive alarm and condition alarm is responded to, that is, dispatching - maintenance personnel response and maintenance - completing the work order, the workload of operation and maintenance is large. For the original fault maintenance and scheduled maintenance, it will increase a large amount of workload, with high labor costs, and due to the sudden increase in workload, it may affect the efficiency of the original scheduled maintenance.
[0051] In the prior art, there is a lack of response modes for equipment predictive alarms and status alarms. A large number of equipment predictive alarms and status alarms may dilute the fault alarms, resulting in the problem of "the boy who cried wolf". Maintenance workers receive a large number of alarms, leading to their insensitivity to alarms. When a critical alarm occurs, it cannot effectively attract key attention.
[0052] It should be noted that the relevant information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by users or fully authorized by all parties, and the collection, use, and processing of relevant data comply with the relevant laws, regulations, and standards in the relevant regions.
[0053] The technical solution of this embodiment obtains the alarm information corresponding to the emergency maintenance tasks other than the planned maintenance tasks of the equipment to be maintained; the emergency maintenance tasks include predictive maintenance tasks and status maintenance tasks; according to the security level and alarm frequency of the alarm information, the emergency score of the alarm information is determined. Through the emergency score, the urgency of the alarm information corresponding to the emergency maintenance task can be determined; according to the emergency score and the maintenance type of the emergency maintenance task, the target planned task corresponding to the emergency maintenance task is determined. Based on the two factors of the emergency score and the maintenance type, a more reasonable target planned task can be determined, which can enable the target planned task to not only meet the timely processing of the emergency maintenance task, but also reduce the interference of the emergency maintenance task on the planned maintenance task, and avoid the phenomenon that the original planned maintenance task cannot be completed due to the sudden increase in the emergency maintenance task; the target planned task is added to the planned maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the status maintenance task into the planned maintenance task. The alarm information can be effectively responded to through the planned maintenance work order, rather than mechanically and immediately responding to all emergency maintenance tasks, balancing the efficiency and effectiveness of the response to the alarm information. At the same time, since the target planned task determined according to the alarm information has predictability, the predictability of the planned maintenance work order after adding the target planned task can be improved, and the equipment failure rate can be reduced. Therefore, through the technical solution of this application, the problem that the large number of status alarms and predictive alarms will seriously disrupt the original planned maintenance operation and maintenance work, reduce the efficiency of the planned maintenance, and the lack of combination of alarm information will make the planned maintenance lack predictability and the equipment failure rate is high is solved, and the effects of improving the efficiency and predictability of the planned maintenance and reducing the equipment failure rate are achieved.
[0054] Embodiment 2
[0055] Figure 2 It is a flowchart of a method for integrating predictive maintenance, status maintenance, and planned maintenance provided by the second embodiment of this application. The technical solution of this embodiment is further refined on the basis of the above technical solution.
[0056] Further, the step of "determining the target planned task corresponding to the emergency repair task according to the emergency score and the repair type of the emergency repair task" is refined to: "determining the predicted fault-free duration of the equipment to be repaired according to the emergency score; determining the target planned task corresponding to the emergency repair task according to the preset fault-free duration, the predicted fault-free duration of the equipment to be repaired, and the repair type of the emergency repair task", so as to determine the target planned task of the equipment to be repaired.
[0057] Refer to Figure 2 A method for integrating predictive maintenance, condition-based maintenance and planned maintenance shown in
[0058] S210. Obtain the alarm information corresponding to the emergency repair tasks other than the planned repair tasks of the equipment to be repaired; the emergency repair tasks include predictive maintenance tasks and condition-based maintenance tasks.
[0059] S220. Determine the emergency score of the alarm information according to the safety level and alarm frequency of the alarm information.
[0060] S230. Determine the predicted fault-free duration of the equipment to be repaired according to the emergency score.
[0061] The predicted fault-free duration can be the fault-free duration within a period of time predicted according to the emergency score, and is used to determine the target planned task. Exemplarily, the predicted fault-free duration of the equipment to be repaired can be determined according to multiple emergency scores of the equipment to be repaired within a certain period of time. Among them, a period of time can be the same as the preset fault-free duration of the equipment to be repaired, and the preset fault-free duration is a kind of equipment parameter of the equipment to be repaired and can be obtained by referring to materials.
[0062] In an alternative embodiment, determining the predicted fault-free duration of the equipment to be repaired according to the emergency score includes: determining the target emergency level corresponding to the emergency score according to the score range of each candidate emergency level preset; taking the level weight corresponding to the target emergency level as the target level weight corresponding to the emergency score; determining the predicted fault-free duration of the equipment to be repaired according to the emergency scores of each alarm information of the equipment to be repaired and the target level weights corresponding to the emergency scores within the preset working duration.
[0063] Exemplarily, the emergency score range can be preset for each candidate emergency level, and each candidate emergency level corresponds to a different score range of the emergency score, which is used to determine the target emergency level. The repair methods of the target planned tasks are limited. By dividing the emergency levels, the same repair method can be determined for a class of alarm information with similar emergency levels, improving the efficiency of determining the repair method of the target planned task. The emergency score can be compared with the score ranges of each candidate emergency level. When the value of the emergency score meets the score range of a certain candidate emergency level, the candidate emergency level is determined as the target emergency level corresponding to the emergency score.
[0064] Different emergency levels correspond to different level weights, which are used to determine the predicted fault-free duration. After determining the target emergency level corresponding to the emergency score, the level weight corresponding to the target emergency level is used as the target level weight corresponding to the emergency score.
[0065] The preset working duration can be the duration set in advance for determining the predicted fault-free duration. Exemplarily, the preset working duration can be the same as the duration corresponding to the preset fault-free duration of the device to be repaired. The predicted fault-free duration can be the predicted duration of the device to be repaired without faults determined based on at least one emergency score within the preset working duration, and is used to determine the target maintenance method.
[0066] Within the preset working duration, the device to be repaired may have multiple alarms, and the target emergency levels corresponding to multiple alarm messages may be different. The emergency scores of each alarm message and the target level weights corresponding to the emergency scores within the preset working duration are weighted and summed to obtain the predicted fault-free duration of the device to be repaired.
[0067] By determining the target emergency level corresponding to the emergency score according to the score range of each candidate emergency level preset; using the level weight corresponding to the target emergency level as the target level weight corresponding to the emergency score; and determining the predicted fault-free duration of the device to be repaired based on the emergency scores of each alarm message of the device to be repaired and the target level weights corresponding to the emergency scores within the preset working duration, the predicted fault-free duration of the device to be repaired can be accurately predicted based on multiple emergency scores.
[0068] S240. Determine the target planned task corresponding to the emergency maintenance task according to the preset fault-free duration, predicted fault-free duration of the device to be repaired, and the maintenance type of the emergency maintenance task.
[0069] The preset fault-free duration can be the average fault-free duration set when the device leaves the factory, which can measure the stability of the device to be repaired and is used to determine the target maintenance method of the device to be repaired. Exemplarily, the preset fault-free duration can be determined by professional technicians based on experience or tests, and the present application does not make specific limitations thereto.
[0070] By comparing the predicted fault-free duration with the preset fault-free duration, the stability of the device to be repaired currently can be determined, and the target planned task of the device to be repaired can be determined. Exemplarily, when the predicted fault-free duration is less than the preset fault-free duration, it can be considered that the stability of the device to be repaired deteriorates and there is a certain risk of failure, and the repair cycle of the device to be repaired can be shortened; when the predicted fault-free duration is equal to the preset fault-free duration, it can be considered that the stability of the device to be repaired remains unchanged, and the original repair cycle of the device to be repaired can be maintained; when the predicted fault-free duration is greater than the preset fault-free duration, it can be considered that the stability of the device to be repaired is better, and the repair cycle of the device to be repaired can be increased. In this way, according to the preset fault-free duration and the predicted fault-free duration of the device to be repaired, the state of the device to be repaired can be determined, the repair cycle of the planned repair of the device to be repaired can be adjusted flexibly, the corresponding target planned task can be determined, the repair efficiency of the device to be repaired can be improved, unnecessary repairs can be reduced, and the repair cost can be lowered.
[0071] Exemplarily, the target planned task of the device to be repaired can be determined according to the ratio of the emergency score of the alarm information to the preset fault-free duration of the device to be repaired and the repair type of the emergency repair task. Corresponding ratio intervals can be preset for various candidate repair adjustment methods of different repair types. According to the repair type and the interval where the ratio of the emergency score of the alarm information to the preset fault-free duration of the device to be repaired is located, the candidate repair adjustment method corresponding to this interval is used as the target repair adjustment method in the target planned task. Based on the target repair adjustment method and information such as the device to be repaired, the target planned task is generated.
[0072] In an alternative embodiment, determining the target planned task corresponding to the emergency repair task according to the preset fault-free duration, the predicted fault-free duration of the device to be repaired, and the repair type of the emergency repair task includes: determining a fault-free ratio according to the predicted fault-free duration and the preset fault-free duration of the device to be repaired; determining a target mapping relationship between the fault-free ratio and the candidate repair adjustment method according to the repair type; the target mapping relationships between the fault-free ratios and the candidate repair adjustment methods for different repair types are different; determining the target repair adjustment method according to the target mapping relationship and the fault-free ratio; and determining the target planned task corresponding to the emergency repair task according to the target repair adjustment method.
[0073] The fault-free ratio is the ratio of the predicted fault-free duration of the equipment to be repaired and the preset fault-free duration, which can be used to determine the target maintenance adjustment method for the equipment to be repaired. By mapping the ratio, the stability change of the equipment to be repaired can be determined, and the fault risk of the equipment can be measured. The target mapping relationship can be the mapping relationship between the mapped ratio determined according to the maintenance type and the candidate maintenance adjustment methods. According to the target mapping relationship, the target maintenance adjustment method corresponding to the mapped ratio can be determined from the candidate maintenance adjustment methods. The target mapping relationships between the fault-free ratios of different maintenance types and the candidate maintenance adjustment methods are different.
[0074] The candidate maintenance adjustment method can be a method for adjusting the planned maintenance task of the equipment to be repaired. Exemplarily, the candidate maintenance adjustment methods can include: no change, reducing the time interval, increasing the time interval, changing the maintenance method, and batch replacement of parts, etc.
[0075] Since the causes of the alarm information for different maintenance types are different, therefore, when the mapped ratios of different maintenance types are the same, the corresponding target mapping relationships can be different, ensuring that the target mapping relationship meets the actual maintenance requirements and improving the effectiveness of the determined target maintenance adjustment method.
[0076] According to the target mapping relationship, the target maintenance adjustment method corresponding to the fault-free ratio can be determined. According to the target maintenance adjustment method, the target planned task corresponding to the emergency maintenance task can be determined. Exemplarily, according to the target maintenance adjustment method, the target maintenance method is determined, and based on the target maintenance method and the relevant information of the equipment to be repaired, the target planned task is generated. For example, if the target maintenance adjustment method is to shorten the cycle to one month, then the maintenance method in the target planned task corresponding to the equipment to be repaired is determined as monthly inspection.
[0077] By determining the fault-free ratio according to the predicted fault-free duration and the preset fault-free duration of the equipment to be repaired; determining the target mapping relationship between the fault-free ratio and the candidate maintenance adjustment methods according to the maintenance type; the target mappings between the fault-free ratios of different maintenance types and the candidate maintenance adjustment methods are different; determining the target maintenance adjustment method according to the target mapping relationship and the fault-free ratio; determining the target planned task corresponding to the emergency maintenance task according to the target maintenance adjustment method, the target maintenance adjustment method for the equipment to be repaired can be determined considering the fault-free ratios of different maintenance types, the stability of the equipment itself can be considered to determine the target maintenance adjustment method, avoiding excessive increase in the workload of operation and maintenance, improving the pertinence of planned maintenance, and reducing the failure rate of the equipment.
[0078] In an alternative embodiment, when there are multiple types of emergency maintenance tasks for the equipment to be maintained, the maintenance scores of the target maintenance adjustment methods corresponding to each maintenance type can be weighted and summed according to the type weights of each maintenance type to obtain a comprehensive maintenance score; the comprehensive target maintenance adjustment method can be determined according to the correspondence between the comprehensive maintenance score and each candidate maintenance adjustment method.
[0079] The type weights can be the weights pre-configured for various maintenance types and are used to determine the comprehensive maintenance score. Exemplarily, the type weights of each maintenance type from largest to smallest can be condition-based maintenance, predictive alarm, and scheduled maintenance. Specifically, the numerical values of the type weights of each maintenance type can be determined by relevant professionals based on experience or tests, and the present application does not make specific limitations thereto.
[0080] The maintenance scores can be pre-determined for each candidate maintenance adjustment method. After determining the target maintenance adjustment methods corresponding to each maintenance type, the maintenance scores corresponding to each maintenance type are determined according to the target maintenance adjustment methods, and weighted calculation is performed based on the type weights corresponding to each maintenance type to obtain a comprehensive maintenance score. The score differences between the comprehensive maintenance score and the maintenance scores of each candidate maintenance adjustment method are judged, the score differences are sorted to obtain the minimum score difference, and the candidate maintenance adjustment method corresponding to the obtained minimum score difference is determined as the comprehensive target maintenance adjustment method.
[0081] For example, when there is dust in the internal concealed box of a building fire alarm probe, affecting the reception of the sensing signal, a status alarm may be generated, triggering an emergency maintenance task of the condition-based maintenance type. And based on the current signal reception status parameters, it is predicted that there is a risk of false fire alarm for the building fire alarm probe, so a predictive alarm is generated, triggering an emergency maintenance task of the predictive maintenance type; assuming that the target maintenance adjustment method corresponding to the emergency maintenance task of the condition-based maintenance type is to shorten the cycle to one week, and the target maintenance adjustment method corresponding to the emergency maintenance task of the predictive maintenance type is to shorten the cycle to one month, then the maintenance score of the maintenance adjustment method of shortening the cycle to one week is multiplied by the type weight of condition-based maintenance, plus the maintenance score of the maintenance adjustment method of shortening the cycle to one month is multiplied by the type weight of predictive maintenance to obtain a comprehensive maintenance score. The score differences between the comprehensive maintenance score and the maintenance scores of each candidate maintenance adjustment method are compared, and the candidate maintenance adjustment method corresponding to the maintenance score with the smallest difference from the comprehensive maintenance score is used as the comprehensive target maintenance adjustment method. For example, the comprehensive target maintenance adjustment method can be to shorten the cycle to ten days.
[0082] Optionally, if the equipment to be maintained includes multiple parts, the alarm information corresponding to the parts is attributed to the smallest replaceable unit.
[0083] Since some parts cannot be replaced individually, the alarm information needs to be attributed to the smallest replaceable unit. For example, a circuit board is encapsulated in a certain module, and the resistors and capacitors in the circuit board cannot be replaced individually. Therefore, when a resistor or capacitor in the circuit board has a status alarm or a predictive alarm, the alarm information needs to be attributed to the circuit board or the encapsulated module to which it belongs, so as to provide operable maintenance suggestions for the maintenance personnel.
[0084] S250. Add the target planned task to the planned maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the status maintenance task into the planned maintenance task.
[0085] In an optional embodiment, adding the target planned task to the planned maintenance work order of the equipment to be maintained includes: if the target planned task is sampling inspection, determine the equipment to be maintained as the target sampling inspection equipment among the equipment of this type in the planned maintenance work order.
[0086] Since the equipment to be maintained already has alarm information, the probability of potential safety hazards is relatively high. If the target planned task is sampling inspection, it is not certain that the equipment to be maintained will be inspected, and the maintenance effect is poor. Therefore, if the target planned task is sampling inspection, determine the equipment to be maintained as the target sampling inspection equipment among the equipment of this type in the planned maintenance work order to improve the pertinence of maintenance and reduce the failure rate of the equipment to be maintained. The target sampling inspection equipment can be the equipment that needs to be maintained, which is used to specify the equipment that must be maintained during sampling inspection.
[0087] For example, the equipment to be maintained is the fire alarm probe of Building 1. Due to the contamination of the probe, the fire alarm probe of Building 1 is prone to false fire alarms and generates alarm information of the status maintenance type with the highest emergency level. The determined target planned task is weekly sampling inspection. There are 100 building fire alarm probes in the area where the equipment to be maintained is located. Then, when the maintenance personnel conduct weekly inspections, due to the large number of building fire alarm probes, it is very likely that the fire alarm probe of Building 1 will not be sampled during multiple weekly inspections, resulting in the problem of the fire alarm probe of Building 1 not being repaired for a long time, making the status alarm lose its meaning. Once there is a fire hazard at the location of the fire alarm probe of Building 1, it will seriously affect the safety of users. Therefore, it is necessary to determine the equipment to be maintained as the target sampling inspection equipment among the equipment of this type in the planned maintenance work order. In this example, the fire alarm probe of Building 1 is used as the equipment that must be maintained. Through maintenance, it can be determined in time that the repair measure is to clean the probe. By cleaning the probe, the equipment failure can be eliminated in time, ensuring the safety of the building, improving the pertinence of the target maintenance method, and improving the quality of planned maintenance.
[0088] If the target planned task is sampling inspection, determine the equipment to be maintained as the target sampling inspection equipment among the equipment of this type in the planned maintenance work order to improve the pertinence of the target planned task and the quality of planned maintenance.
[0089] The technical solution of this embodiment determines the predicted fault - free duration of the equipment to be repaired according to the emergency score; and determines the target planned task corresponding to the emergency repair task according to the preset fault - free duration, predicted fault - free duration of the equipment to be repaired, and the repair type of the emergency repair task. It can consider the predicted fault - free duration and different repair types to determine the target planned task of the equipment to be repaired, consider the stability of the equipment itself to determine the target planned task, avoid excessive increase in the workload of operation and maintenance, improve the pertinence of planned maintenance, and reduce the failure rate of the equipment.
[0090] Embodiment III
[0091] Figure 3 The figure is a flowchart of a method for integrating predictive maintenance, condition - based maintenance, and planned maintenance provided by Embodiment III of this application. The technical solution of this embodiment is further refined on the basis of the above - mentioned technical solution.
[0092] Further, "determine the emergency score of the alarm information according to the security level and alarm frequency of the alarm information" is refined to: "determine the security score corresponding to the alarm information according to the service security level and user security level corresponding to the alarm information; determine the emergency score of the alarm information according to the security score of the alarm information, alarm frequency, security weight corresponding to the security score, and frequency weight corresponding to the alarm frequency" to determine the emergency score of the alarm information.
[0093] See Figure 3 As shown in a method for integrating predictive maintenance, condition - based maintenance, and planned maintenance, it includes:
[0094] S310. Obtain the alarm information corresponding to the emergency repair task other than the planned repair task of the equipment to be repaired; the emergency repair task includes a predictive maintenance task and a condition - based maintenance task.
[0095] S320. Determine the security score corresponding to the alarm information according to the service security level and user security level corresponding to the alarm information.
[0096] The service security level can be a pre - set hazard level for service security, used to determine the security score of the alarm information. Exemplarily, service security can be comprehensively determined according to the scope of service impact and the relevance of service content. Exemplarily, based on the scope of service impact, the service security can be divided into two levels according to whether the equipment to be repaired is located at the service end or the client end. Exemplarily, based on the relevance of service content, the service security can be divided into at least two levels according to the number of service - related devices.
[0097] Specifically, multiple levels can be divided for the scope of service impact and the relevance of service content, and different weights can be configured for each level. Based on the levels of the scope of service impact and the relevance of service content and the corresponding weights, a weighted sum is performed to obtain the service security score. According to the service security score range corresponding to different service security levels, the service security level is obtained.
[0098] The user security level can be the level of harm to the personal safety of the user and is used to determine the security score of the alarm information. Exemplarily, the user security level can be determined according to the degree of impact on the personal safety of personnel after the alarm content occurs in the historical record.
[0099] Exemplarily, different weights can be set for the service security level and the user security level respectively. Based on the service security level, the user security level, and the weights corresponding to the service security level and the user security level, a weighted sum is performed to obtain the security score. The weights set for the service security level and the user security level can be determined by professional technicians based on historical data, according to experience or experiments. This application does not make specific limitations on this.
[0100] S330. Determine the emergency score of the alarm information according to the security score of the alarm information, the alarm frequency, the security weight corresponding to the security score, and the frequency weight corresponding to the alarm frequency.
[0101] The security weight can be the weight set in advance for the security score and is used to determine the emergency score. The frequency weight can be the weight set in advance for the alarm frequency and is used to determine the emergency score. The security weight and the frequency weight can be determined by professional technicians according to experience or experiments, or determined through a deep learning model. This application does not make specific limitations on this. Exemplarily, based on historical data, determining the security weight and the frequency weight through a deep learning model can be as follows: The historical security score and the historical alarm frequency when the historical alarm event occurs can be used as sample data, and the emergency score corresponding to the effective maintenance method determined according to the historical faults that occurred can be used as a label to train the deep learning model to obtain the security weight and the frequency weight. For example, the deep learning model can be a multiple linear regression model.
[0102] Performing a weighted sum of the security score of the alarm information, the alarm frequency, the security weight corresponding to the security score, and the frequency weight corresponding to the alarm frequency can obtain the emergency score of the alarm information.
[0103] Through safety scoring, potential safety hazards that may be caused when a fault corresponding to an alarm message occurs can be taken into account, the failure rate of equipment can be reduced, and the target maintenance method determined by subsequent consideration of safety scoring factors can improve the pertinence of maintenance and the quality of maintenance. Through the alarm frequency, the probability of occurrence of a fault corresponding to an alarm message can be taken into account, the frequency of response to some alarm messages with a relatively low probability of occurrence can be reduced, the interference to planned maintenance tasks can be reduced, and the maintenance efficiency can be improved. Through safety weights and frequency weights, the impacts of safety scoring and alarm frequency on emergency scoring can be balanced, so that the target maintenance method determined subsequently can reduce the impact on planned maintenance and improve the maintenance efficiency while ensuring the safety of users and services.
[0104] For example, when the equipment to be maintained is an elevator, there may be 100 elevators to be maintained in a park. If there is a fault of repeated opening and closing of the elevator door on a certain floor, an alarm message for the door closing fault can be generated. At this time, since the elevator can still operate normally, the impact on safety is relatively low. If the alarm frequency is low, it does not need to be processed immediately, so the original planned maintenance method can be unchanged. If the alarm frequency is high, it will affect the user experience and there may also be potential safety hazards. At this time, the maintenance cycle can be appropriately shortened to ensure the user experience and safety. At this time, considering both safety scoring and alarm frequency can improve the maintenance efficiency.
[0105] For example, when the equipment to be maintained is power supply and distribution equipment, the voltage of the power supply and distribution equipment is a common problem in maintenance. If the voltage of the power supply and distribution equipment fluctuates greatly or is too high during a certain period of time, even if the voltage is within a reasonable range, alarm messages may be generated. At this time, from the perspective of safety, it does not reach the situation that needs to be processed immediately. However, since an alarm has occurred, there may be potential safety hazards. Therefore, considering safety scoring and alarm frequency can determine a better target maintenance method, which can reduce the equipment failure rate and will not excessively increase the operation and maintenance workload.
[0106] S340. Determine the target planned task corresponding to the emergency repair task according to the emergency score and the repair type of the emergency repair task.
[0107] S350. Add the target planned task to the planned maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the planned maintenance task.
[0108] The technical solution of this embodiment determines the safety score corresponding to the alarm information according to the service safety level and user safety level corresponding to the alarm information. Considering from multiple aspects to determine the safety score and ensure the comprehensiveness of the safety score, so that the subsequent determined emergency score can effectively reduce the equipment failure rate. According to the safety score, alarm frequency, safety weight corresponding to the safety score, and frequency weight corresponding to the alarm frequency of the alarm information, determine the emergency score of the alarm information. Considering from two aspects of safety and occurrence frequency can reduce the failure rate and workload, improve the effectiveness of maintenance, and balance the influence of the two factors of safety and occurrence frequency through the safety weight and frequency weight, improve the effectiveness of the emergency score, so that the subsequent target maintenance method determined according to the emergency score can reduce the occurrence of failures and improve the maintenance efficiency at the same time.
[0109] Embodiment 4
[0110] Figure 4 The following is a schematic structural diagram of a device for integrating predictive maintenance, condition-based maintenance, and planned maintenance provided by Embodiment 4 of the present application. This embodiment is applicable to the situation of integrating suddenly triggered condition-based maintenance tasks and / or predictive maintenance tasks into planned maintenance tasks. The specific structure of the device for integrating predictive maintenance, condition-based maintenance, and planned maintenance is as follows:
[0111] An alarm information acquisition module 410, configured to acquire alarm information corresponding to a sudden maintenance task other than the planned maintenance task of the device to be maintained; the sudden maintenance task includes a predictive maintenance task and a condition-based maintenance task;
[0112] An emergency score determination module 420, configured to determine the emergency score of the alarm information according to the safety level and alarm frequency of the alarm information;
[0113] A target planned task determination module 430, configured to determine the target planned task corresponding to the sudden maintenance task according to the emergency score and the maintenance type of the sudden maintenance task;
[0114] A planned maintenance work order modification module 440, configured to add the target planned task to the planned maintenance work order of the device to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the planned maintenance task.
[0115] The technical solution of this embodiment obtains the alarm information corresponding to the emergency maintenance tasks outside the planned maintenance tasks of the equipment to be maintained; the emergency maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks; according to the security level and alarm frequency of the alarm information, the emergency score of the alarm information is determined. Through the emergency score, the urgency of the alarm information corresponding to the emergency maintenance task can be determined; according to the emergency score and the maintenance type of the emergency maintenance task, the target planned task corresponding to the emergency maintenance task is determined. Based on the two factors of the emergency score and the maintenance type, a more reasonable target planned task can be determined, which can enable the target planned task to not only meet the timely processing of the emergency maintenance task, but also reduce the interference of the emergency maintenance task on the planned maintenance task, and avoid the phenomenon that the original planned maintenance task cannot be completed due to the surge of emergency maintenance tasks; the target planned task is added to the planned maintenance work order of the equipment to be maintained to integrate the predictive maintenance task and the condition-based maintenance task into the planned maintenance task. The alarm information can be effectively responded to through the planned maintenance work order, rather than mechanically responding immediately to all emergency maintenance tasks, balancing the efficiency and effectiveness of the response to the alarm information. At the same time, since the target planned task determined according to the alarm information has predictability, the predictability of the planned maintenance work order after adding the target planned task can be improved, and the equipment failure rate can be reduced. Therefore, through the technical solution of this application, the problem that a large number of status alarms and predictive alarms will seriously disrupt the original planned maintenance operation and maintenance work, reduce the efficiency of planned maintenance, and the lack of predictability of planned maintenance without combining alarm information will result in a high equipment failure rate is solved, and the effects of improving the efficiency and predictability of planned maintenance and reducing the equipment failure rate are achieved.
[0116] Optionally, the target planned task determination module 430 includes:
[0117] The predicted fault-free duration determination unit is used to determine the predicted fault-free duration of the equipment to be maintained according to the emergency score;
[0118] The target planned task determination unit is used to determine the target planned task corresponding to the emergency maintenance task according to the preset fault-free duration of the equipment to be maintained, the predicted fault-free duration, and the maintenance type of the emergency maintenance task.
[0119] Optionally, the predicted fault-free duration determination unit includes:
[0120] The target emergency level determination subunit is used to determine the target emergency level corresponding to the emergency score according to the score range of each candidate emergency level preset;
[0121] The target level weight determination subunit is used to use the level weight corresponding to the target emergency level as the target level weight corresponding to the emergency score;
[0122] An emergency score weighting subunit, configured to determine the predicted fault-free duration of the device to be repaired according to the emergency scores of each alarm message of the device to be repaired within a preset working duration and the target level weights corresponding to the emergency scores.
[0123] Optionally, the target planned task determination unit includes:
[0124] A fault-free ratio determination subunit, configured to determine a fault-free ratio according to the predicted fault-free duration of the device to be repaired and a preset fault-free duration;
[0125] A target mapping relationship determination subunit, configured to determine a target mapping relationship between the fault-free ratio and candidate maintenance adjustment methods according to the maintenance type; the target mappings between the fault-free ratios and candidate maintenance adjustment methods for different maintenance types are different;
[0126] A fault-free ratio mapping subunit, configured to determine a target maintenance adjustment method according to the target mapping relationship and the fault-free ratio;
[0127] A target planned task determination subunit, configured to determine a target planned task corresponding to an emergency maintenance task according to the target maintenance adjustment method.
[0128] Optionally, the emergency score determination module 420 includes:
[0129] A safety score determination unit, configured to determine a safety score corresponding to an alarm message according to the service safety level and the user safety level corresponding to the alarm message;
[0130] An emergency score determination unit, configured to determine an emergency score of the alarm message according to the safety score of the alarm message, the alarm frequency, the safety weight corresponding to the safety score, and the frequency weight corresponding to the alarm frequency.
[0131] Optionally, the planned repair work order modification module 440 includes:
[0132] If the target planned task is a spot check, determine the device to be repaired as the target spot check device among the devices of this type in the planned repair work order.
[0133] The prediction-based maintenance, condition-based maintenance, and planned maintenance fusion device provided by the embodiments of the present application can execute the prediction-based maintenance, condition-based maintenance, and planned maintenance fusion method provided by any embodiment of the present application, and has the corresponding functional modules and beneficial effects for executing the prediction-based maintenance, condition-based maintenance, and planned maintenance fusion method.
[0134] According to an embodiment of the present invention, the present invention also provides an electronic device, a readable storage medium, and a computer program product.
[0135] Embodiment 5
[0136] Figure 5The following is a schematic structural diagram of an electronic device provided in Embodiment 5 of this application. As Figure 5 shown, the electronic device includes a processor 510, a memory 520, an input device 530, and an output device 540. The number of processors 510 in the electronic device can be one or more. Figure 5 In this example, one processor 510 is taken. The processor 510, the memory 520, the input device 530, and the output device 540 in the electronic device can be connected through a bus or other means. Figure 5 In this example, connection through a bus is taken.
[0137] The memory 520, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as program instructions / modules corresponding to the prediction-based repair, condition-based repair, and planned repair fusion method in the embodiments of this application (for example, the alarm information acquisition module 410, the emergency score determination module 420, the target planned task determination module 430, and the planned repair work order modification module 440). The processor 510 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 520, that is, implements the above-mentioned prediction-based repair, condition-based repair, and planned repair fusion method.
[0138] The memory 520 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function. The data storage area can store data created according to the use of the terminal, etc. In addition, the memory 520 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 520 can further include a memory remotely set relative to the processor 510, and these remote memories can be connected to the electronic device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.
[0139] The input device 530 can be used to receive input character information and generate key signal inputs related to the user settings and function controls of the electronic device. The output device 540 can include a display device such as a display screen.
[0140] Embodiment 6
[0141] Embodiment 6 of the present application further provides a storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a computer processor, they are used to execute a method for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance. The method includes: obtaining alarm information corresponding to emergency maintenance tasks other than the scheduled maintenance tasks of the equipment to be maintained; the emergency maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks; determining the emergency score of the alarm information according to the security level and alarm frequency of the alarm information; determining the target scheduled task corresponding to the emergency maintenance task according to the emergency score and the maintenance type of the emergency maintenance task; adding the target scheduled task to the scheduled maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the scheduled maintenance task.
[0142] Of course, the computer-executable instructions of a storage medium provided by the embodiments of the present application are not limited to the method operations described above, and can also execute related operations in the method for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance provided by any embodiment of the present application.
[0143] From the above description of the embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software and necessary general-purpose hardware. Of course, it can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as a floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk, or optical disc of a computer, and includes several instructions for causing an electronic device (which can be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.
[0144] It should be noted that in the embodiments of the above-mentioned device for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present application.
[0145] Note that the above is only the preferred embodiment of the present application and the applied technical principles. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, more other equivalent embodiments can be included, and the scope of the present application is determined by the scope of the appended claims.
Claims
1. A method for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance, characterized in that Including: Obtaining alarm information corresponding to unexpected maintenance tasks other than the planned maintenance tasks of the equipment to be maintained; the unexpected maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks; Determining the emergency score of the alarm information according to the safety level and alarm frequency of the alarm information; Determining the target planned task corresponding to the unexpected maintenance task according to the emergency score and the maintenance type of the unexpected maintenance task; Adding the target planned task to the planned maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the planned maintenance task.
2. The method according to claim 1, wherein The determining the target planned task corresponding to the unexpected maintenance task according to the emergency score and the maintenance type of the unexpected maintenance task includes: Determining the predicted fault-free duration of the equipment to be maintained according to the emergency score; Determining the target planned task corresponding to the unexpected maintenance task according to the preset fault-free duration of the equipment to be maintained, the predicted fault-free duration and the maintenance type of the unexpected maintenance task.
3. The method according to claim 1, wherein The determining the predicted fault-free duration of the equipment to be maintained according to the emergency score includes: Determining the target emergency level corresponding to the emergency score according to the score ranges of each candidate emergency level preset; Taking the level weight corresponding to the target emergency level as the target level weight corresponding to the emergency score; Determining the predicted fault-free duration of the equipment to be maintained according to the emergency scores of each alarm information of the equipment to be maintained and the target level weights corresponding to the emergency scores within the preset working hours.
4. The method according to claim 2, wherein The determining the target planned task corresponding to the unexpected maintenance task according to the preset fault-free duration of the equipment to be maintained, the predicted fault-free duration and the maintenance type of the unexpected maintenance task includes: Determining a fault-free ratio according to the predicted fault-free duration and the preset fault-free duration of the equipment to be maintained; Determining the target mapping relationship between the fault-free ratio and the candidate maintenance adjustment methods according to the maintenance type; the target mapping relationships between the fault-free ratios of different maintenance types and the candidate maintenance adjustment methods are different; Determining the target maintenance adjustment method according to the target mapping relationship and the fault-free ratio; Determining the target planned task corresponding to the unexpected maintenance task according to the target maintenance adjustment method.
5. The method according to claim 1, characterized in that, The determining the emergency score of the alarm information according to the safety level and the alarm frequency of the alarm information includes: Determining the safety score corresponding to the alarm information according to the service safety level and user safety level corresponding to the alarm information; Determining the emergency score of the alarm information according to the safety score of the alarm information, the alarm frequency, the safety weight corresponding to the safety score and the frequency weight corresponding to the alarm frequency.
6. The method according to claim 1, wherein The adding the target planned task to the planned maintenance work order of the equipment to be maintained includes: If the target planned task is a spot check, determining the equipment to be maintained as the target spot check equipment of this type of equipment in the planned maintenance work order.
7. A device for integrating predictive maintenance, condition-based maintenance, and scheduled maintenance, characterized in that, Including: An alarm information acquisition module, configured to acquire alarm information corresponding to emergency maintenance tasks other than the planned maintenance tasks of the equipment to be maintained; the emergency maintenance tasks include predictive maintenance tasks and condition-based maintenance tasks; An emergency score determination module, configured to determine an emergency score of the alarm information according to the security level and alarm frequency of the alarm information; A target planned task determination module, configured to determine a target planned task corresponding to the emergency maintenance task according to the emergency score and the maintenance type of the emergency maintenance task; A planned maintenance work order modification module, configured to add the target planned task to the planned maintenance work order of the equipment to be maintained, so as to integrate the predictive maintenance task and the condition-based maintenance task into the planned maintenance task.
8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the predictive maintenance, condition-based maintenance and planned maintenance integration method according to any one of claims 1-6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the predictive maintenance, condition-based maintenance and planned maintenance integration method according to any one of claims 1-6.
10. A computer program product, characterized in that, The computer program product includes a computer program, and when the computer program is executed by the processor, it implements the predictive maintenance, condition-based maintenance and planned maintenance integration method according to any one of claims 1-6.