CN114936654A - Equipment maintenance method, device, system and storage medium - Google Patents

Abstract

The application discloses a method, a device and a system for maintaining equipment and a storage medium, which are used for automatically maintaining the equipment. The method comprises the following steps: acquiring operation data of equipment in the operation process of the equipment; judging whether the equipment fails according to the operation data of the equipment; when equipment fails, determining the fault level of the equipment; determining an automatic maintenance policy corresponding to a failure level of the device; and automatically maintaining the equipment according to the corresponding maintenance strategy. By adopting the scheme provided by the application, the equipment maintenance efficiency can be improved, and the workload of workers is reduced.

Description

Device maintenance method, device, system and storage medium

technical field

The present application relates to the technical field of automation control, and in particular, to a device maintenance method, device, system and storage medium.

Background technique

In order to meet the needs of coal chemical production, electrical equipment is distributed in all production positions of coal chemical production enterprises. , The data acceptance is poor. At present, in the maintenance and management of coal chemical electrical equipment in enterprises, maintenance teams are mainly used for equipment inspection work. On the one hand, due to the wide range of maintenance, the workload of on-site maintenance personnel is large; Troubleshoot and repair in a timely manner. Due to the different types and specifications of equipment, the failure problems that occur are also different. Therefore, the experience and ability of on-site maintenance personnel are required to be high, and it is difficult to analyze the problems in a timely and efficient manner and take measures. Due to the long period of troubleshooting and maintenance of equipment in chemical enterprises, the equipment operating environment is poor and overloaded operation problems are common. In addition, improper maintenance and maintenance methods have further led to serious equipment wear and corrosion problems, which have seriously increased the equipment maintenance costs of enterprises. . Therefore, how to provide an equipment maintenance method to automatically maintain the equipment in a timely manner has become an urgent technical problem to be solved.

SUMMARY OF THE INVENTION

The present application provides an equipment maintenance method, device, system and storage medium for automatic maintenance of equipment.

The application provides an equipment maintenance method, including:

During the operation of the equipment, obtain the operation data of the equipment;

Determine whether the device is faulty according to the operation data of the device;

When the equipment fails, determine the failure level of the equipment;

determining an automatic maintenance strategy corresponding to the failure level of the equipment;

The equipment is automatically maintained according to the corresponding maintenance strategy.

The beneficial effects of the present application are: when the equipment is running, by monitoring the operation data of the equipment in real time, it is judged whether the equipment is faulty, and the level of the fault is determined, different maintenance strategies are determined according to different fault levels, and the equipment is automatically maintained, thereby improving the performance of the equipment. Maintain efficiency and reduce staff workload.

In one embodiment, the determining whether the device is faulty according to the operation data of the device includes:

comparing the operating data of the device with standard data;

When the operation data of the equipment is consistent with the standard data, it is determined that the equipment is not faulty;

When the operation data of the equipment is inconsistent with the standard data, it is determined that the equipment is faulty.

In one embodiment, the determining the failure level of the device includes:

determining how similar the operating data of the device is to standard data;

The failure level of the device is determined according to the degree of similarity between the operation data of the device and the standard data, wherein the higher the degree of similarity between the operation data of the device and the standard data, the lower the failure level.

In one embodiment, the determining an automatic maintenance strategy corresponding to the failure level of the device includes:

When the failure level of the device is the first level, the automatic maintenance strategy corresponding to the failure level of the device is determined as follows:

Retrieve expert database data;

Automatically adjust the operating data of the equipment according to the specific executive elements of the equipment, sensor feedback values and the expert database data;

In the process of adjusting the operation data of the device, continue to judge whether the failure of the device is resolved according to the operation data of the device.

In one embodiment, the determining an automatic maintenance strategy corresponding to the failure level of the device includes:

When the failure level of the device is the second level, determine the automatic maintenance strategy corresponding to the failure level of the device as follows:

Query and match fault information to the database cloud and remote assistance terminal;

When it is detected that there is historical data of similar fault solutions in the database cloud or the assistant terminal, the historical data of the similar fault solutions is retrieved to perform automatic maintenance on the equipment.

In one embodiment, when the failure level of the device does not reach a preset level, the method further includes:

When automatic maintenance fails, increase the failure level of the equipment;

An automatic maintenance strategy corresponding to the upgraded fault level is selected to perform automatic maintenance on the device.

In one embodiment, when the failure level of the device reaches a preset level, the method further includes:

When automatic maintenance fails, obtain information related to the failure;

Send out alarm indication signals and display fault-related information on the man-machine interface.

The application also provides an equipment maintenance device, including:

The acquisition module is used to acquire the operation data of the equipment during the operation of the equipment;

a judging module for judging whether the equipment fails according to the operation data of the equipment;

a first determining module, used for determining the failure level of the device when the device fails;

a second determining module, configured to determine an automatic maintenance strategy corresponding to the failure level of the device;

The maintenance module performs automatic maintenance on the device according to the corresponding maintenance strategy.

The application also provides an equipment maintenance system, characterized in that it includes:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the device maintenance method described in any one of the foregoing embodiments.

The present application also provides a computer-readable storage medium, characterized in that, when the instructions in the storage medium are executed by a processor corresponding to the equipment maintenance system, the equipment maintenance system can implement the equipment maintenance described in any of the foregoing embodiments. method.

Other features and advantages of the present application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description, claims, and drawings.

The technical solutions of the present application will be described in further detail below through the accompanying drawings and embodiments.

Description of drawings

The accompanying drawings are used to provide a further understanding of the application, and constitute a part of the specification, and together with the embodiments of the application, they are used to explain the application, and do not constitute a limitation to the application. In the attached image:

FIG. 1 is a flowchart of a device maintenance method in an embodiment of the application;

2 is a block diagram of an equipment maintenance system in an embodiment of the application;

FIG. 3 is a structural diagram of a software function composition of an equipment maintenance system according to an embodiment of the application;

FIG. 4 is a flowchart of a device maintenance method in another embodiment of the present application;

FIG. 5 is a block diagram of a device maintenance device according to an embodiment of the application;

FIG. 6 is a schematic diagram of a hardware structure of an equipment maintenance system according to an embodiment of the present application.

Detailed ways

The preferred embodiments of the present application will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, but not to limit the present application.

FIG. 1 is a flowchart of a device maintenance method in an embodiment of the application. The method can be used to automatically monitor and maintain the device. As shown in FIG. 1 , the method can be implemented as the following steps S101-S105:

In step S101, during the operation of the device, the operation data of the device is obtained;

In step S102, according to the operation data of the device, determine whether the device is faulty;

In step S103, when the device fails, determine the failure level of the device;

In step S104, an automatic maintenance strategy corresponding to the failure level of the equipment is determined;

In step S105, the device is automatically maintained according to the corresponding maintenance strategy.

In this application, during the operation of the equipment, the operation data of the equipment is obtained; in order to be able to monitor the operation status of the equipment in real time, the operation data of the equipment is monitored in real time in this application. For example, operating time, equipment temperature, vibration frequency, vibration amplitude, carrying volume, equipment pressure, etc. The operating data of the equipment can be data obtained through the monitoring module built in the equipment, or data obtained through a data acquisition module, wherein the data acquisition module is a sensor installed according to actual production needs or fault monitoring and fault maintenance needs, etc. , wherein the monitoring data is a preset monitoring data type. It can be understood that, in the embodiments of the present application, after the raw data is collected, in order to ensure the accuracy of the data, information fusion and mutual verification of data from different sources are also performed on the collected raw data, so as to utilize each The redundancy and complementarity of sensors in time and space expand the time, space and frequency coverage of the system, and at the same time, improve the credibility of the conclusion and increase the fault tolerance of the system.

The operation data of the equipment determines whether the equipment fails. According to the collected equipment operation data, the equipment operation status is monitored to determine whether the equipment operates normally or has a fault. In an embodiment of the present application, the operation data of the equipment is compared with the standard data; there are many specific comparison methods, and the most common method is to provide a preset reference range for data in different operating states, such as engine The preset temperature of the equipment, the vibration frequency of the equipment, etc.; the fault type can also be given according to different data combinations. For example, in the equipment startup phase, the equipment vibration amplitude and frequency should be gradually increased to the operating data interval of the normal operation phase. However, if the vibration amplitude increases but the vibration frequency decreases during the start-up phase, it means that the vibration data of the equipment is abnormal; it is also possible to analyze the fluctuation of the operating data within a period of time to determine whether the equipment runs smoothly and meets the expected requirements. set status. When the operation data of the equipment is consistent with the standard data, it is determined that the equipment is not faulty; when the operation data of the equipment is inconsistent with the standard data, it is determined that the equipment is faulty.

When a device fails, determine the failure level of the device. Further, in this embodiment, the fault type and the fault level are determined by calculating the similarity between the operating data of the device and the standard data. First, determine the degree of similarity between the operating data of the device and the standard data. The degree of similarity may be the degree of similarity between the monitoring data and the standard data. There are various methods for calculating the degree of similarity, which will not be described in detail in this application. But in this embodiment, the similarity includes the following aspects: 1. The similarity between the monitoring data and the standard data at the current moment of the single-item operation data; 2. The similarity between the operation trend of the single-item operation data and the standard data operation trend; 3. The similarity between the multiple operation data combination and the standard data combination; 4. The similarity between the running trend of the multiple operation data combination and the standard data combination. Furthermore, a variety of complex fault types can be judged. Of course, deep neural network models can be introduced into the process to automatically learn and analyze different fault types.

Then, the failure level of the device is determined according to the degree of similarity between the operation data of the device and the standard data, wherein the higher the degree of similarity between the operation data of the device and the standard data, the lower the failure level. In order to maintain the faults in a targeted manner, this application divides different fault levels. When the similarity between the operating data and the standard data is high, it means that the equipment operating data is normal, so the fault level is lower; when the similarity is low , the higher the fault level is.

Determine an automatic maintenance strategy corresponding to the failure level of the device; perform automatic maintenance on the device according to the corresponding maintenance strategy. Specifically, in an embodiment of the present application, two failure levels are provided:

When the failure level of the device is the first level, the automatic maintenance strategy corresponding to the failure level of the device is determined as follows: fetching expert database data, specifically in an embodiment of the present application, the method described in the present application is when It is applied to the equipment maintenance system as shown in Figure 2. When the equipment failure is the first level, the expert database data in the centralized control station is called for automatic maintenance preprocessing. Fault types and solutions, and historical solutions for historical system maintenance storage are also stored. Then, according to the specific executive elements of the equipment and the feedback values of the sensors and the expert database data, the cluster data of the field device controller is automatically adjusted to control the equipment status; according to the comparison between the current equipment operation data and the expert database data, the current fault type and Fault handling scheme, and then automatically condition the operating data of the field equipment to control the state of the equipment. At the same time, in the process of adjusting the operating data of the equipment, continue to judge whether the fault of the equipment has been removed according to the operating data of the equipment. If the data is found to be within the normal range after adjustment, the fault will be removed; if the data is still abnormal , switch to a maintenance strategy with a higher failure level.

When the fault level of the equipment is the second level, the automatic maintenance strategy corresponding to the fault level of the equipment is determined as follows: query and match the fault information to the database cloud and the remote assistance terminal, and the database cloud not only stores the presets of different equipment Set the common fault types, and also store historical maintenance data of multiple equipment sites. The remote assistance terminal includes the equipment manufacturer assistance terminal and the expert assistance terminal. Specifically, when the method described in this embodiment is applied to the equipment shown in FIG. 2 When maintaining the system, when the fault level is the second level, it will be transferred to the cloud joint online maintenance, and the maintenance terminal and the centralized control station will automatically access the database cloud and the remote assistance terminal 1-n to perform fault information matching and query. Then, when it is detected that there is historical data of similar fault solutions in the database cloud or the assistant terminal, the historical data of the similar fault solutions is retrieved to perform automatic maintenance on the equipment.

In addition, in the present application, in the case that the failure level of the equipment does not reach the preset level, the method further includes: when a low-level failure occurs, priority is given to maintenance through a lower-level failure maintenance strategy to ensure that The maintenance is timely and efficient; when the automatic maintenance fails, the fault level of the equipment is improved, and the automatic maintenance strategy corresponding to the improved fault level is selected to perform automatic maintenance on the equipment, and then the equipment is carried out under the high-level fault maintenance strategy. Maintenance, try to ensure that the system automatically completes equipment maintenance.

When the fault level of the equipment reaches a preset level, the method further includes: when automatic maintenance fails, acquiring information related to the fault; sending an alarm indication signal, and displaying the information related to the fault on the man-machine on the interactive interface. This further ensures that when the system fails and fails to be successfully maintained under all fault corresponding strategies, the fault can be fed back in time, and the staff can perform equipment maintenance to avoid the danger of the system continuing to operate in a fault state.

FIG. 2 is a block diagram of an equipment maintenance system in an embodiment of the present application, and the method described in the present application can be applied to an equipment maintenance system as shown in FIG. 2 . As shown in Figure 2, the system includes three functional layers: assistance layer, data layer and field layer: (1) The assistance layer equipment includes n (n<32) remote assistance terminals, which are distributed in different equipment sites or base stations, respectively It stores the basic data and historical fault recovery data of local equipment. It is an open data interface for local equipment. It uses a network intelligent data terminal (such as an industrial computer or server) that supports the operation of remote assistance software. Information exchange; (2) The data layer includes the centralized control station and the database cloud, among which the centralized control station is the computer centralized control center of the designated area equipment group, which is composed of industrial computers and servers. The electrical equipment controller is connected and connected to the database cloud3 through the mobile network. The database cloud can be a private cloud built in the industry, or an encrypted database or virtual server deployed in a specific public cloud (such as Alibaba Cloud); (3 ) The field layer includes a field device controller cluster and n (n < 32) maintenance terminals. The field device group is a collection of equipment to be maintained in the industrial field. Modern electrical equipment contains controllers that can communicate, thus forming field devices. In the controller cluster, the maintenance terminal adopts an industrial portable tablet computer, which communicates with the centralized control station and the remote assistance terminal through the mobile network.

FIG. 3 is a structural diagram of a software function composition of an equipment maintenance system according to an embodiment of the present application, which can be specifically applied to the equipment maintenance system shown in FIG. 2 . As shown in Figure 3, the equipment maintenance system software includes four parts: cloud database software, centralized control station software, maintenance terminal software, and remote assistance terminal software. Cloud database software is used to store, encapsulate, and optimize equipment data in designated areas, and to realize remote communication with one or more centralized control stations; the human-machine interface included in the centralized control station software is used to centrally control equipment operation and maintenance, and system monitoring The software is used for signal acquisition, logic operation and feedback, the storage unit is used for data storage in the centralized control station, and the centralized control station is also used to store the expert database in the designated area, analyze and optimize the data, form the equipment file, and leave the server expansion margin. And communicate with the cloud database and the remote terminal; the maintenance terminal includes a human-machine interface, and the exchange of information with the field device controller cluster for data collection, data diagnosis, local storage and communication; the remote assistance terminal includes human-machine interface, Data matching and processing, storage and communication functions, which store the historical data of the successful maintenance of local equipment, and set the access interface for calling.

FIG. 4 is a flowchart of a device maintenance method in another embodiment of the present application, which can be specifically applied to the device maintenance system shown in FIG. 2 . As shown in FIG. 4 , when the method described in the present application is executed, the field device controller cluster performs real-time monitoring on the operation data of each device under the operation state of the equipment, and the collected operation data is sent to the maintenance terminal corresponding to the equipment; the maintenance terminal Automatically compare the data with the stored standard data to determine whether the equipment is faulty. If there is no abnormal data, the system continues to monitor. If one or more of the maintenance terminals 1-n find abnormal data, calculate the equipment operation according to the preset program. The degree of similarity between the data and the standard data, and the failure level is determined. In this embodiment, the failure level is set to two levels. When the similarity between the equipment operating data and the standard data is low, the failure level is determined to be the first level. When the degree of similarity between the equipment operating data and the standard data is low, the fault level is determined to be the second level; when the fault level of the equipment is the first level, the fault level is low, and the maintenance end calls the experts in the centralized control station The database data is automatically maintained and preprocessed, and the cluster data of the field device controller is automatically adjusted according to the specific executive components of the equipment, the feedback values of the sensors and the expert database data, so as to control the equipment status. Monitoring, if it is found that the data is already within the normal range after adjustment, the fault is removed; when the fault level of the equipment is the second level, or the fault level is the first level but the data of the preprocessing system is still automatically maintained by the centralized control station. If there is an abnormality, the fault level is higher, and it is transferred to the cloud joint online maintenance. During the cloud joint online maintenance process, the maintenance terminal and the centralized control station automatically access the database cloud and the remote assistance terminal 1-n, and perform fault information matching and query. When the database is monitored If there is historical data of similar fault solutions in the cloud or an assistant terminal, it will be retrieved and downloaded to the field device controller cluster for troubleshooting; if the fault is eliminated, the data of the corresponding maintenance terminal and centralized control station will be refreshed and stored; If the fault is still not resolved, the corresponding maintenance terminal and the centralized control station will send out an alarm indication signal at the same time and display the fault information on the man-machine interface. It can be understood that, the fault level described in this embodiment can also be set to more levels according to the actual situation.

The following is an example of the failure maintenance process of the tape machine by the equipment maintenance system to further illustrate the method described in this application:

When receiving the triggering operation to start the tape machine, obtain preset parameter information of the tape machine, wherein the preset parameter may be a parameter output by the control system of the tape machine, or may be the belt tension of the tape machine, The torque of the main drive drum and the auxiliary drive drum, the pressure value of the hydraulic system of the belt conveyor, etc. According to the operation data of the tape machine, it is judged whether there is a failure. For example, under normal operation, the belt tensioning force of the belt conveyor should be within the first preset interval. When the monitored tensioning force is not within this interval, it means that the belt tensioning system of the belt conveyor is faulty; When the pressure value of the hydraulic system of the belt conveyor exceeds the second preset interval, it is considered that the hydraulic system of the belt conveyor is faulty; for another example, during the normal operation of the belt conveyor, the difference between the torque N1 of the main drive drum and the torque N2 of the auxiliary drive drum The absolute value of the difference should be less than 5%. When the absolute value of the difference exceeds 5%, it also indicates that the tape machine is slipping and the tape machine is faulty.

When the tape machine fails, determine the failure level of the tape machine. In this embodiment, as described above, the failure level of the tape machine is determined by calculating the similarity between the operating data and the standard data. For example, set the torque of the main drive drum as N1 and the torque of the auxiliary drive drum as N2. When the absolute value of the difference between the two exceeds 5%, it means that the belt conveyor is faulty. And further divide the level according to the absolute value of the difference. For example, when 5%≤|N1-N2|≤10%, the fault level is determined to be the first level; when |N1-N2|>10%, then the fault is determined The level is the second level. In addition, in this embodiment, it also includes whether the operation data is within the preset interval, the ratio of the operation data to the extreme value of the preset interval, the change rate of the operation data, the average value of the operation data in a period of time, and the combination of multiple groups of data Whether it is within the preset range or whether it conforms to a certain functional relationship, etc., determines the failure level of the tape machine.

For example, the absolute value of the difference between the torque of the main drive drum N1 and the torque N2 of the auxiliary drive drum is between 5% and 10%. When it is determined that the fault level is the first level, the data is retrieved from the expert database, and the data can be historical Maintenance data can also be system preset data. Through the operation data of the tape machine and the data of the expert database, the tape machine is given instructions to adjust the tape machine. For example, if N1-N2 is positive, increase the speed of the auxiliary drive drum and increase the torque; if N1-N2 is negative, decrease the speed of the auxiliary drive drum and reduce the torque. During the adjustment process, the speed adjustment amplitude is not more than 1%, and the torque difference between the main drive drum and the auxiliary drive drum is continuously monitored until the power imbalance between the main drive drum and the auxiliary drive drum is corrected.

For example, the absolute value of the difference between the torque of the main drive drum N1 and the torque N2 of the auxiliary drive drum is greater than 10%, and the fault level is determined to be the second level; or, within the preset maintenance time, if the above maintenance is not completed, the fault level will be raised for the second level. Then, query the fault information to the database cloud and the remote assistance terminal. For example, when |N1-N2|>10%, it is considered that the system is slipping through the cloud database analysis, and the speed of the drive drum can be adjusted, and at the same time, the tensioning system can be adjusted. At the same time, the maintenance information will be recorded in the expert database to facilitate subsequent system maintenance.

In this embodiment, the fault level is set to the second level, and the fault of the second level is the highest level. When the maintenance at this level still fails, the system sends out an alarm message and sends the fault-related data to the human-computer interaction interface. so that the staff can deal with it in a timely manner.

Furthermore, when the tape machine is automatically maintained by the method described in the present application, for the failures that often occur in the system, the system is automatically maintained, reducing the workload of the staff, and at the same time, the system can be automatically performed when there is no obvious failure in the system. maintenance, reducing the maintenance cost of the system.

The beneficial effects of the present application are: when the equipment is running, by monitoring the operation data of the equipment in real time, it is judged whether the equipment is faulty, and the level of the fault is determined, different maintenance strategies are determined according to different fault levels, and the equipment is automatically maintained. This in turn improves maintenance efficiency and reduces the workload of staff.

In one embodiment, the above step S102 can be implemented as the following steps A1-A3:

In step A1, compare the operating data of the device with standard data;

In step A2, when the operation data of the equipment is consistent with the standard data, it is determined that the equipment is not faulty;

In step A3, when the operation data of the equipment is inconsistent with the standard data, it is determined that the equipment is faulty.

In this embodiment, in order to determine whether the equipment is faulty, the operation data of the equipment is compared with the standard data; there are many specific comparison methods, and the most common method is to give preset data for different operation states. The reference range, such as the preset temperature of the engine, the vibration frequency of the equipment, etc.; the fault type can also be given according to different data combinations, for example, during the start-up phase of the equipment, the vibration amplitude and frequency of the equipment should be gradually increased until normal operation. After the period of operation data, it remains relatively stable, but if the vibration amplitude increases but the vibration frequency decreases during the start-up phase, it means that the vibration data of the equipment is abnormal; it is also possible to analyze the fluctuation of the operation data within a period of time to determine whether the equipment is running or not. stable, whether it conforms to the preset state. When the operation data of the equipment is consistent with the standard data, it is determined that the equipment is not faulty; when the operation data of the equipment is inconsistent with the standard data, it is determined that the equipment is faulty.

In one embodiment, the above step S103 can be implemented as the following steps B1-B2:

In step B1, determine the degree of similarity between the operating data of the device and the standard data;

In step B2, the failure level of the device is determined according to the degree of similarity between the operation data of the device and the standard data, wherein the higher the degree of similarity between the operation data of the device and the standard data, the lower the failure level.

In this embodiment, the fault type and fault level are determined by calculating the similarity between the operating data of the device and the standard data.

First, determine the degree of similarity between the operating data of the device and the standard data. The degree of similarity may be the degree of similarity between the monitoring data and the standard data. There are various methods for calculating the degree of similarity, which will not be described in detail in this application. It should be noted that, however, in this embodiment, the similarity includes the following aspects: 1. The similarity between the monitoring data and the standard data at the current moment of the single-item operation data; 2. The difference between the operation trend of the single-item operation data and the operation trend of the standard data Similarity; 3. The similarity between the multiple operation data combination and the standard data combination; 4. The similarity between the running trend of the multiple operation data combination and the standard data combination. Furthermore, a variety of complex fault types can be judged. Of course, deep neural network models can be introduced into the process to automatically learn and analyze different fault types.

Then, the failure level of the device is determined according to the degree of similarity between the operation data of the device and the standard data, wherein the higher the degree of similarity between the operation data of the device and the standard data, the lower the failure level. In order to maintain the faults in a targeted manner, this application divides different fault levels. When the similarity between the operating data and the standard data is high, it means that the equipment operating data is normal, so the fault level is lower; when the similarity is low , the higher the fault level is.

In one embodiment, the above-mentioned step S104 may be implemented as the following steps C1-C3:

When the failure level of the device is the first level, the automatic maintenance strategy corresponding to the failure level of the device is determined as follows:

In step C1, the expert database data is retrieved;

In step C2, automatically adjust the operation data of the device according to the specific executive elements of the device, the sensor feedback value and the data of the expert database;

In step C3, in the process of adjusting the operation data of the equipment, it is continued to judge whether the fault of the equipment is resolved according to the operation data of the equipment.

In this embodiment, if the equipment failure level is the first level, it means that the failure level is relatively low. Retrieve expert database data. Specifically, when the method described in this embodiment is applied to the equipment maintenance system as shown in FIG. 2, the expert database data in the centralized control station is retrieved for automatic maintenance preprocessing, wherein, in the expert database Preset fault types and solutions are stored in the data, and historical solutions for historical system maintenance and storage are also stored.

Then, according to the specific executive elements of the equipment and the feedback values of the sensors and the expert database data, the cluster data of the field device controller is automatically adjusted to control the equipment status; according to the comparison between the current equipment operation data and the expert database data, the current fault type and Fault handling scheme, and then automatically condition the operating data of the field equipment to control the state of the equipment.

At the same time, in the process of adjusting the operating data of the equipment, continue to judge whether the fault of the equipment has been removed according to the operating data of the equipment. If the data is found to be within the normal range after adjustment, the fault will be removed; if the data is still abnormal , switch to a maintenance strategy with a higher failure level.

The beneficial effect of this embodiment is that: when the equipment failure is low, the data is directly retrieved from the local expert database data, the corresponding maintenance method is searched, and the data of the equipment is adjusted, thereby reducing the time and work of manual monitoring. It also ensures the timely and efficient maintenance of equipment.

In one embodiment, the above-mentioned step S104 can be implemented as the following steps D1-D2:

When the failure level of the device is the second level, determine the automatic maintenance strategy corresponding to the failure level of the device as follows:

In step D1, query and match the fault information to the database cloud and the remote assistance terminal;

In step D2, when it is detected that there is historical data of similar fault solutions in the database cloud or the assistance terminal, the historical data of the similar fault solutions is retrieved to perform automatic maintenance of the equipment.

In this embodiment, if the equipment failure level is the second level, it means that the failure level is relatively high. Query and match fault information to the database cloud and the remote assistance terminal. The database cloud not only stores the preset common fault types of different equipment, but also stores the historical maintenance data of multiple equipment sites. The remote assistance terminal includes the equipment manufacturer assistance terminal and expert assistance. Specifically, when the method described in this embodiment is applied to the equipment maintenance system shown in FIG. 2, when the fault level is the second level, it is transferred to the cloud joint online maintenance, and the maintenance terminal and the centralized control station automatically access Database cloud and remote assistance terminal 1-n, perform fault information matching query. Then, when it is detected that there is historical data of similar fault solutions in the database cloud or the assistant terminal, the historical data of the similar fault solutions is retrieved to perform automatic maintenance on the equipment.

In one embodiment, when the failure level of the device does not reach a preset level, the method further includes the following steps E1-E2:

In step E1, when the automatic maintenance fails, the failure level of the equipment is increased;

In step E2, an automatic maintenance strategy corresponding to the upgraded fault level is selected to perform automatic maintenance on the device.

In this embodiment, multiple fault levels are set, and different fault levels correspond to different fault maintenance strategies. When a low-level fault occurs, priority is given to maintenance through the lower-level fault maintenance strategy to ensure timely and efficient maintenance; when automatic maintenance fails, the fault level of the equipment is increased, and the automatic maintenance corresponding to the increased fault level is selected. The strategy performs automatic maintenance on the device, and then the device is maintained under a high-level fault maintenance strategy, so as to ensure that the system automatically completes the maintenance of the device as much as possible.

In one embodiment, when the failure level of the device reaches a preset level, the method further includes the following steps F1-F2:

In step F1, when automatic maintenance fails, obtain information related to the failure;

In step F2, an alarm indication signal is issued, and the information related to the fault is displayed on the human-computer interaction interface.

In this embodiment, when the highest level of fault maintenance strategy has been reached, when automatic maintenance fails, information related to the fault is obtained; an alarm indication signal is issued, and the information related to the fault is displayed on the human-computer interaction interface.

This further ensures that when the system fails and the maintenance fails under all the failure corresponding strategies, the failure can be fed back in time, and the staff can maintain the equipment to avoid equipment damage caused by the continued operation of the system in the fault state.

FIG. 5 is a block diagram of a device maintenance device in an embodiment of the application. As shown in FIG. 5 , the device maintenance device includes:

an acquisition module 501, configured to acquire operation data of the device during the operation of the device;

A judgment module 502, configured to judge whether the equipment fails according to the operation data of the equipment;

a first determining module 503, configured to determine the failure level of the device when the device fails;

A second determining module 504, configured to determine an automatic maintenance strategy corresponding to the failure level of the device;

The maintenance module 505 performs automatic maintenance on the device according to the corresponding maintenance strategy.

FIG. 6 is a schematic diagram of the hardware structure of an equipment maintenance system in an embodiment of the application, as shown in FIG. 6 , including:

at least one processor 620; and,

a memory 604 in communication with the at least one processor 620; wherein,

The memory 604 stores instructions executable by the at least one processor 620, and the instructions are executed by the at least one processor 620 to implement the device maintenance method described in any of the foregoing embodiments.

6, the equipment maintenance system 600 may include one or more of the following components: a processing component 602, a memory 604, a power supply component 606, a multimedia component 608, an audio component 610, an input/output (I/O) interface 612, a sensor component 614 , and communication component 616 .

The processing component 602 generally controls the overall operation of the equipment maintenance system 600 . The processing component 602 may include one or more processors 620 to execute instructions to perform all or some of the steps of the methods described above. Additionally, processing component 602 may include one or more modules that facilitate interaction between processing component 602 and other components. For example, processing component 602 may include a multimedia module to facilitate interaction between multimedia component 608 and processing component 602.

Memory 604 is configured to store various types of data to support the operation of equipment maintenance system 600 . Examples of such data include instructions for any application or method operating on the equipment maintenance system 600, such as text, pictures, video, and the like. Memory 604 may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.

Power supply assembly 606 provides power for various components of equipment maintenance system 600 . Power supply components 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to onboard control system 600 .

Multimedia component 608 includes screens that provide an output interface between equipment maintenance system 600 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, swipe, and gestures on the touch panel. A touch sensor can not only sense the boundaries of a touch or swipe action, but also monitor the duration and pressure associated with the touch or swipe action. In some embodiments, the multimedia component 608 may also include a front-facing camera and/or a rear-facing camera. When the device maintenance system 600 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each of the front and rear cameras can be a fixed optical lens system or have focal length and optical zoom capability.

Audio component 610 is configured to output and/or input audio signals. For example, audio component 610 includes a microphone (MIC) that is configured to receive external audio signals when equipment maintenance system 600 is in operating modes, such as alarm mode, recording mode, voice recognition mode, and voice output mode. The received audio signal may be further stored in memory 604 or transmitted via communication component 616 . In some embodiments, audio component 610 also includes a speaker for outputting audio signals.

The I/O interface 612 provides an interface between the processing component 602 and a peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to: home button, volume buttons, start button, and lock button.

Sensor assembly 614 includes one or more sensors for providing condition assessment of various aspects of equipment maintenance system 600 . For example, sensor assembly 614 may include a sound sensor. In addition, the sensor component 614 can monitor the open/closed status of the equipment maintenance system 600, the relative positioning of the components, for example, the components are the display and the keypad of the equipment maintenance system 600, and the sensor component 614 can also monitor the equipment maintenance system 600 or the equipment maintenance system. The operation state of a component of 600, such as the operation state of the air distribution board, the structure state, the operation state of the discharge scraper, etc., the orientation or acceleration/deceleration of the equipment maintenance system 600 and the temperature change of the equipment maintenance system 600. Sensor assembly 614 may include a proximity sensor configured to monitor the presence of nearby objects in the absence of any physical contact. Sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, a material accumulation thickness sensor, or a temperature sensor.

Communication component 616 is configured to enable device maintenance system 600 to provide wired or wireless communication capabilities with other devices and cloud platforms. The equipment maintenance system 600 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, device maintenance system 600 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field A programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components are implemented to implement the equipment maintenance method described in any of the above embodiments.

The present application also provides a computer-readable storage medium, characterized in that, when the instructions in the storage medium are executed by a processor corresponding to the equipment maintenance system, the equipment maintenance system can implement the equipment maintenance described in any of the foregoing embodiments. method.

As will be appreciated by those skilled in the art, the embodiments of the present application may be provided as a method, a system, or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including but not limited to disk storage, optical storage, and the like.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims (10)

1. a device maintenance method, is characterized in that, comprises: During the operation of the equipment, obtain the operation data of the equipment; Determine whether the device is faulty according to the operation data of the device; When the equipment fails, determine the failure level of the equipment; determining an automatic maintenance strategy corresponding to the failure level of the equipment; The equipment is automatically maintained according to the corresponding maintenance strategy. 2. The method according to claim 1, wherein the judging whether the device fails according to the operation data of the device comprises: comparing the operating data of the device with standard data; When the operation data of the equipment is consistent with the standard data, it is determined that the equipment is not faulty; When the operation data of the equipment is inconsistent with the standard data, it is determined that the equipment is faulty. 3. The method of claim 2, wherein the determining a fault level of the device comprises: determining how similar the operating data of the device is to standard data; The failure level of the device is determined according to the degree of similarity between the operation data of the device and the standard data, wherein the higher the degree of similarity between the operation data of the device and the standard data, the lower the failure level. 4. The method of claim 1, wherein the determining an automatic maintenance strategy corresponding to the failure level of the device comprises: When the failure level of the device is the first level, the automatic maintenance strategy corresponding to the failure level of the device is determined as follows: Retrieve expert database data; Automatically adjust the operating data of the equipment according to the specific executive elements of the equipment, sensor feedback values and the expert database data; In the process of adjusting the operation data of the device, continue to judge whether the failure of the device is resolved according to the operation data of the device. 5. The method of claim 1, wherein the determining an automatic maintenance strategy corresponding to the failure level of the device comprises: When the failure level of the device is the second level, determine the automatic maintenance strategy corresponding to the failure level of the device as follows: Query and match fault information to the database cloud and remote assistance terminal; When it is detected that there is historical data of similar fault solutions in the database cloud or the assistant terminal, the historical data of the similar fault solutions is retrieved to perform automatic maintenance on the equipment. 6. The method according to claim 1, wherein, in the case that the failure level of the device does not reach a preset level, the method further comprises: When automatic maintenance fails, increase the failure level of the equipment; An automatic maintenance strategy corresponding to the upgraded fault level is selected to perform automatic maintenance on the device. 7. The method according to claim 1, wherein when the failure level of the device reaches a preset level, the method further comprises: When automatic maintenance fails, obtain information related to the failure; Send out alarm indication signals and display fault-related information on the man-machine interface. 8. An equipment maintenance device, characterized in that, comprising: The acquisition module is used to acquire the operation data of the equipment during the operation of the equipment; a judging module for judging whether the equipment fails according to the operation data of the equipment; a first determining module, used for determining the failure level of the device when the device fails; a second determining module, configured to determine an automatic maintenance strategy corresponding to the failure level of the device; The maintenance module performs automatic maintenance on the device according to the corresponding maintenance strategy. 9. An equipment maintenance system, comprising: at least one processor; and, a memory communicatively coupled to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to implement the device maintenance method of any one of claims 1-7. 10. A computer-readable storage medium, characterized in that, when an instruction in the storage medium is executed by a processor corresponding to an equipment maintenance system, the equipment maintenance system is enabled to implement the equipment according to any one of claims 1-7 maintenance method.

Images