CN114936654A

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

Info

Publication number: CN114936654A
Application number: CN202210584943.8A
Authority: CN
Inventors: 吴杰; 罗庆军
Original assignee: Guoneng Baotou Coal Chemical Co ltd; China Shenhua Coal to Liquid Chemical Co Ltd
Current assignee: Guoneng Baotou Coal Chemical Co ltd; China Shenhua Coal to Liquid Chemical Co Ltd
Priority date: 2022-05-27
Filing date: 2022-05-27
Publication date: 2022-08-23

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

Equipment maintenance method, device, system and storage medium

Technical Field

The present disclosure relates to the field of automation control technologies, and in particular, to a method, an apparatus, a system, and a storage medium for maintaining a device.

Background

In order to meet the requirements of coal chemical production, electrical equipment is distributed at each production post of a coal chemical production enterprise, and along with the increasing of the quantity and the distribution of various types of electrical equipment, the coverage of equipment operation, overhaul and maintenance is wide, the operation distance is long, and the data carrying performance is poor. At present, when coal chemical industry electrical equipment is maintained and managed in an enterprise, equipment inspection work is mainly carried out by a maintenance team, on one hand, due to the wide maintenance range, the workload of field maintenance personnel is large; on the other hand, on-site inspection requires on-site maintenance personnel to troubleshoot and maintain in time, and due to different equipment types and specifications, the fault problems are different, so that the requirements on experience and capability of the on-site maintenance personnel are high, and the problems are difficult to analyze and take measures in time and efficiently. Due to the fact that the period of troubleshooting and maintenance of the chemical enterprise equipment is long, the problems of severe equipment operation environment and overload operation are common, and due to the fact that the overhauling and maintenance methods are not proper, the problems of abrasion and corrosion of the equipment are serious, and the maintenance cost of the enterprise equipment is increased seriously. Therefore, how to provide an equipment maintenance method to automatically maintain equipment in time becomes a technical problem to be solved urgently.

Disclosure of Invention

The application provides a method, a device and a system for equipment maintenance and a storage medium, which are used for automatically maintaining equipment.

The application provides an equipment maintenance method, which 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.

The beneficial effect of this application lies in: when the equipment runs, whether the equipment fails or not is judged by monitoring the running data of the equipment in real time, the level of the failure is determined, different maintenance strategies are determined according to different failure levels, and the equipment is automatically maintained, so that the maintenance efficiency is improved, and the workload of workers is reduced.

In one embodiment, the determining whether the device has a fault according to the operation data of the device includes:

comparing the operating data of the equipment with standard data;

when the operation data of the equipment is consistent with the standard data, determining that the equipment does not have a fault;

and when the operation data of the equipment is inconsistent with the standard data, determining that the equipment fails.

In one embodiment, the determining a failure level of the device comprises:

determining the similarity degree of the operation data of the equipment and standard data;

and determining the fault level of the equipment according to the similarity degree of the operation data of the equipment and the standard data, wherein the higher the similarity degree of the operation data of the equipment and the standard data is, the lower the fault level is.

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

when the fault level of the equipment is a first level, determining an automatic maintenance policy corresponding to the fault level of the equipment as follows:

calling expert database data;

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

and in the process of adjusting the operation data of the equipment, continuously judging whether the fault of the equipment is relieved or not according to the operation data of the equipment.

In one embodiment, the determining an automatic maintenance policy corresponding to a failure level of the device comprises:

when the fault level of the equipment is a second level, determining that the automatic maintenance policy corresponding to the fault level of the equipment is as follows:

carrying out fault information query matching on the database cloud and the remote assistance end;

and when the historical data of similar fault solutions exist in the cloud end or the assisting end of the database, calling the historical data of the similar fault solutions to automatically maintain the equipment.

In one embodiment, in case the failure level of the device does not reach a preset level, the method further comprises:

when the automatic maintenance fails, the fault level of the equipment is promoted;

and selecting an automatic maintenance strategy corresponding to the promoted fault level to automatically maintain the equipment.

In one embodiment, in case the fault level of the device reaches a preset level, the method further comprises:

when the automatic maintenance fails, acquiring information related to the fault;

and sending an alarm indicating signal, and displaying information related to the fault on a man-machine interaction interface.

The present application further provides an apparatus for maintaining equipment, including:

the acquisition module is used for acquiring the operation data of the equipment in the operation process of the equipment;

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

the device comprises a first determining module, a second determining module and a judging module, wherein the first determining module is used for determining the fault level of the device when the device fails;

a second determination module to determine an automatic maintenance policy corresponding to a failure level of the device;

and the maintenance module is used for automatically maintaining the equipment according to the corresponding maintenance strategy.

The present application further provides an equipment maintenance system, comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,

the memory stores instructions executable by the at least one processor to implement the device maintenance method of any of the above embodiments.

The present application further provides a computer-readable storage medium, wherein when instructions in the storage medium are executed by a processor corresponding to the device maintenance system, the device maintenance system is enabled to implement the device maintenance method described in any of the above embodiments.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present application is further described in detail by the accompanying drawings and examples.

Drawings

The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiment(s) of the application and together with the description serve to explain the application and not limit the application. In the drawings:

fig. 1 is a flowchart of an apparatus maintenance method according to an embodiment of the present application;

FIG. 2 is a block diagram of an equipment maintenance system according to an embodiment of the present application;

FIG. 3 is a block diagram illustrating software functional components of an equipment maintenance system according to an embodiment of the present disclosure;

FIG. 4 is a flow chart of a method for equipment maintenance according to yet another embodiment of the present application;

FIG. 5 is a block diagram of an apparatus for maintaining equipment according to an embodiment of the present application;

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

Detailed Description

The preferred embodiments of the present application will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein only to illustrate and explain the present application and not to limit the present application.

Fig. 1 is a flowchart of a method for maintaining equipment, which may be used for automatic monitoring and maintenance of the equipment, according to an embodiment of the present application, and as shown in fig. 1, the method may be implemented as the following steps S101 to S105:

in step S101, in the device operation process, operation data of the device is acquired;

in step S102, determining whether the device has a fault according to the operation data of the device;

in step S103, when the device fails, determining a failure level of the device;

in step S104, determining an automatic maintenance policy corresponding to a failure level of the device;

in step S105, the device is automatically maintained according to the corresponding maintenance policy.

In the application, in the running process of the equipment, the running data of the equipment is obtained; in order to monitor the running state of the equipment in real time, the running data of the equipment is monitored in real time in the application. Such as run time, equipment temperature, vibration frequency, vibration amplitude, volume carried, equipment pressure, etc. The equipment operation data can be data acquired by a monitoring module of the equipment, or data acquired by a data acquisition module, wherein the data acquisition module is a sensor and the like installed according to actual production needs or fault monitoring and fault maintenance needs, and 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 multiple raw data, so as to utilize the redundancy and complementarity of each sensor in time and space, expand the coverage of system time, space and frequency, and at the same time, improve the reliability of the conclusion and increase the fault tolerance of the system.

And judging whether the equipment fails or not by the operation data of the equipment. And monitoring the running state of the equipment according to the collected equipment running data, and judging whether the equipment runs normally or fails. In an embodiment of the present application, the operating data of the device is compared with standard data; there are various specific comparison methods, and the most common method is to give preset reference ranges to data of different operating states, such as preset temperature of an engine, vibration frequency of equipment and the like; the fault type can also be given according to different data combinations, for example, in the starting stage of the equipment, the vibration amplitude and the frequency of the equipment should be gradually increased and kept relatively stable after being increased to the operation data interval in the normal operation stage, but if the vibration amplitude is increased and the vibration frequency is reduced in the starting stage, the vibration data of the equipment is abnormal; the fluctuation condition of the operation data in a period of time can be analyzed, and whether the equipment is stably operated or not is judged, and whether the equipment accords with a preset state or not is judged. When the operation data of the equipment is consistent with the standard data, determining that the equipment does not have a fault; and when the operation data of the equipment is inconsistent with the standard data, determining that the equipment fails.

When a device fails, a failure level of the device is determined. Further, in the present embodiment, the failure type and failure level are determined by how similar the operation data of the computing device is to the standard data. Firstly, the similarity between the operation data of the equipment and the standard data is determined, the similarity can be the similarity between the monitoring data and the standard data, and various methods can be selected for calculating the similarity, which is not repeated in detail in the application. However, in this embodiment, the similarity includes the following aspects: 1. the similarity between the monitoring data of the current time of the single operation data and the standard data; 2. similarity between the operation trend of the single operation data and the operation trend of the standard data; 3. similarity of the multiple operation data combinations and the standard data combinations; 4. similarity of the operation trend of the multiple operation data combination and the operation trend of the standard data combination. Furthermore, a plurality of complex fault types can be judged. Of course, the process can introduce a deep neural network model to automatically learn and analyze different fault types.

And then determining the fault level of the equipment according to the similarity degree of the operation data of the equipment and the standard data, wherein the higher the similarity degree of the operation data of the equipment and the standard data is, the lower the fault level is. In order to maintain faults in a targeted manner, different fault grades are divided, and when the similarity degree of the operation data and the standard data is high, the operation data of the equipment is normal, so that the fault grade is lower; when the degree of similarity is low, the failure level is higher.

Determining an automatic maintenance policy corresponding to a failure level of the device; and automatically maintaining the equipment according to the corresponding maintenance strategy. Specifically, in one embodiment of the present application, two failure levels are provided:

when the fault level of the equipment is a first level, determining an automatic maintenance policy corresponding to the fault level of the equipment as follows: specifically, in an embodiment of the present application, when the method is applied to the equipment maintenance system shown in fig. 2, when the equipment fault is of a first level, the method calls the expert database data in the centralized control station to perform automatic maintenance preprocessing, where the expert database data stores preset fault types and solutions, and also stores historical solutions stored in a historical system for maintenance. Then, automatically adjusting the cluster data of the field equipment controller according to the specific executive component of the equipment, the feedback value of the sensor and the expert database data, thereby controlling the equipment state; according to the comparison between the current equipment operation data and the expert database data, the current fault type and the fault processing scheme can be determined, and then the conditions are automatically carried out on the field equipment operation data, so that the state of the equipment is controlled. Meanwhile, in the process of adjusting the operation data of the equipment, whether the fault of the equipment is removed or not is continuously judged according to the operation data of the equipment, and if the data are found to be in a normal range through adjustment, the fault is removed; and if the data still has the abnormity, switching to a maintenance strategy with higher fault level.

When the fault level of the equipment is a second level, determining the automatic maintenance strategy corresponding to the fault level of the equipment as follows: the method comprises the steps that fault information is inquired and matched with a database cloud end and a remote assistance end, the database cloud end not only stores preset common fault types of different devices, but also stores historical maintenance data of a plurality of device sites, the remote assistance end comprises a device manufacturer assistance end, an expert assistance end and the like, when the method is applied to a device maintenance system shown in the figure 2, when the fault level is the second level, cloud end joint online maintenance is conducted, and the maintenance end and a centralized control station automatically access the database cloud end and the remote assistance end 1-n to conduct fault information matching inquiry. And then, when the historical data of similar fault solutions exist in the cloud end or the assisting end of the database, calling the historical data of the similar fault solutions to automatically maintain the equipment.

In addition, in this application, in a case that the failure level of the device does not reach a preset level, the method further includes: when low-level faults occur, the maintenance is carried out by a fault maintenance strategy of a lower level preferentially, so that the maintenance is timely and efficient; and when the automatic maintenance fails, the fault level of the equipment is promoted, an automatic maintenance strategy corresponding to the promoted fault level is selected to automatically maintain the equipment, and then the equipment is maintained under the high-level fault maintenance strategy, so that the system is ensured to automatically complete the maintenance of the equipment as much as possible.

In the case that the failure level of the device reaches a preset level, the method further comprises: when the automatic maintenance fails, acquiring information related to the fault; and sending an alarm indicating signal, and displaying information related to the fault on a man-machine interaction interface. And furthermore, when the system fails and is not successfully maintained under all fault corresponding strategies, the fault can be fed back in time, equipment maintenance is carried out by workers, and the danger caused by continuous operation of the system in a fault state is avoided.

Fig. 2 is a block diagram of an equipment maintenance system according to an embodiment of the present application, and the method according to the present application may be applied to an equipment maintenance system shown in fig. 2. As shown in fig. 2, the system includes three functional levels, namely an assistance layer, a data layer and a field layer: (1) the assistance layer equipment comprises n (n is less than 32) remote assistance ends which are distributed in different equipment sites or base stations, respectively store basic data and historical fault recovery data of local equipment, are open data interfaces of the local equipment, and adopt network intelligent data terminals (such as industrial computers or servers) supporting the software operation of the remote assistance ends to perform information interaction with the data layer through a 4G/5G network; (2) the data layer comprises a centralized control station and a database cloud, wherein the centralized control station is a computer centralized control center of a designated area device group and consists of an industrial personal computer and a server, the centralized control station is connected with each electric device controller in a field device group through an industrial Ethernet and is connected with the database cloud 3 through a mobile network, and the database cloud can be a private cloud built in the industry or an encrypted database or a virtual server deployed in a specific public cloud (such as Ali cloud); (3) the field layer comprises a field device controller cluster and n (n is less than 32) maintenance ends, the field device cluster is a set formed by devices to be maintained in an industrial field, modern electrical devices all comprise controllers capable of communicating, so that the field device controller cluster is formed, and the maintenance ends adopt industrial portable tablet computers and communicate with a centralized control station and a remote assistance end through a mobile network.

Fig. 3 is a software functional component architecture diagram of an equipment maintenance system according to an embodiment of the present application, which is particularly applicable to the equipment maintenance system shown in fig. 2. As shown in fig. 3, the device maintenance system software includes four parts, namely cloud database software, centralized control station software, maintenance end software, and remote assistance end software. The cloud database software is used for storing, packaging and optimizing equipment data in a designated area and realizing remote communication with one or more centralized control stations; the centralized control station software comprises a human-computer interface used for operation and maintenance of centralized control equipment, system monitoring software used for signal acquisition, logical operation and feedback, a storage unit used for data storage of the centralized control station, an expert database in a designated area, analysis and data optimization to form an equipment file, a server expansion allowance reserved, and communication with a cloud database and a remote end; the maintenance end comprises a human-computer interface and performs data acquisition, data diagnosis, local storage and communication with the field device controller cluster interaction information; the remote assistance end comprises a human-computer interface, a data matching and processing function, a storage function and a communication function on the aspect of software function composition, wherein historical data of successful maintenance of local equipment is stored, and an access interface is arranged for calling.

Fig. 4 is a flowchart of an apparatus maintenance method according to another embodiment of the present application, which can be applied to the apparatus maintenance system shown in fig. 2. As shown in fig. 4, when the method of the present application is executed, in an equipment operating state, a field equipment controller cluster monitors each equipment operating data in real time, and the acquired operating data is sent to a maintenance end corresponding to the equipment; the method comprises the steps that a maintenance end automatically carries out data comparison with stored standard data, whether equipment breaks down or not is judged, if no data are abnormal, a system continues monitoring, if one or more of the maintenance ends 1-n find that the data are abnormal, the similarity degree of equipment operation data and the standard data is calculated according to a preset program, and the fault level is determined; when the fault level of the equipment is a first level and the fault level is lower, the maintenance end calls the expert database data in the centralized control station to perform automatic maintenance pretreatment, the cluster data of the field equipment controller is automatically adjusted according to the feedback numerical values of specific executive elements and sensors of the equipment and the expert database data, so that the equipment state is controlled, meanwhile, in the automatic adjustment of the equipment state, the system data are continuously monitored, and if the data are found to be in a normal range through adjustment, the fault is relieved; when the fault level of the equipment is a second level, or when the fault level is a first level but the data of the system is still abnormal after being automatically maintained and preprocessed by the centralized control station, the fault level is higher, the cloud-end combined online maintenance is switched to, in the cloud-end combined online maintenance process, the maintenance end and the centralized control station automatically access the cloud end and the remote assistance ends 1-n of the database to perform matching inquiry of fault information, and when the cloud end of the database or the historical data of similar fault solutions in a certain assistance end are monitored, the historical data are called and downloaded to a field equipment controller cluster to perform fault removal; if the fault is eliminated, refreshing and storing the data of the corresponding maintenance end and the centralized control station; if the fault is still not released, the corresponding maintenance end and the centralized control station simultaneously send out an alarm indicating signal and display fault information on a human-computer interface. It is understood that the failure level described in the present embodiment may also be set to more levels according to actual situations.

The following further illustrates the method of the present application by taking the process of the device maintenance system for maintaining the fault of the tape machine as an example:

when receiving a triggering operation of starting the belt conveyor, acquiring preset parameter information of the belt conveyor, wherein the preset parameter can be a parameter output by a control system of the belt conveyor, and can also be a belt tension force of the belt conveyor, a main transmission roller torque, an auxiliary transmission roller torque, a pressure value of a hydraulic system of the belt conveyor and the like. And judging whether a fault occurs according to the operation data of the adhesive tape machine. For example, in a normal operation state, the belt tension of the belt conveyor should be within a first preset interval, and when the monitored tension is not within the interval, it is indicated that a belt tension system of the belt conveyor fails; if the pressure value of the belt conveyor hydraulic system exceeds a second preset interval, determining that the belt conveyor hydraulic system has a fault; for another example, during normal operation of the belt conveyor, the absolute value of the difference between the main driving roller torque N1 and the sub driving roller torque N2 should be less than 5%, and when the absolute value of the difference exceeds 5%, it also indicates that the belt conveyor slips, and the belt conveyor fails.

When the tape machine fails, the failure level of the tape machine is determined. In this embodiment, as described above, the failure level of the tape machine is determined by calculating the similarity between the operation data and the standard data. For example, if the main driving roller torque is N1 and the sub driving roller torque is N2, when the absolute value of the difference between the two exceeds 5%, it indicates that the tape machine has a fault. And further performing level division according to the absolute value of the difference, for example, when 5% ≦ | N1-N2 ≦ 10%, determining that the failure level is the first level; when | N1-N2| > 10%, the failure level is determined to be the second level. In addition, in this embodiment, the method further includes determining the fault level of the adhesive tape machine according to whether the operation data is in a preset interval, the ratio of the operation data to an 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, whether a combination of multiple groups of data is in a preset range or meets a certain functional relationship, and the like.

For example, when the absolute value of the difference between the primary driving roller torque N1 and the secondary driving roller torque N2 is between 5% and 10%, and the fault level is determined to be the first level, data is called from the expert database, and the data may be historical maintenance data or system preset data. And sending an instruction to the adhesive tape machine through the operation data of the adhesive tape machine and the expert database data, and adjusting the adhesive tape machine. For example, if N1-N2 is positive, the speed of the secondary drive roller is increased and the torque is increased; if N1-N2 is negative, the speed of the auxiliary transmission roller is reduced, and the torque is reduced. In the adjusting process, the speed adjusting amplitude is not more than 1%, and the difference value of the torques of the main transmission roller and the auxiliary transmission roller is continuously monitored until the problem of unbalanced power of the main transmission roller and the auxiliary transmission roller is corrected.

For example, when the absolute value of the difference between the primary driving roller torque N1 and the secondary driving roller torque N2 is greater than 10%, the fault level is determined to be the second level; or, in the preset maintenance time, if the maintenance is not completed, the fault level is raised to the second level. And further, fault information inquiry is carried out on the database cloud and the remote assistance end. For example, at | N1-N2| > 10%, the speed of the drive drum can be adjusted while the tensioning system is adjusted by cloud database analysis to consider system slip. At the same time, the maintenance information will be recorded in the expert database for later system maintenance.

In this embodiment, the fault level is set to be the second level, the fault level of the second level is the highest level, and when the maintenance at this level still fails, the system sends alarm information and sends data related to the fault to the human-computer interaction interface, so that the worker can process the data in time.

Furthermore, when the method is used for automatically maintaining the adhesive tape machine, the system automatically maintains faults which often occur to the system, so that the workload of workers is reduced, and meanwhile, the system can be automatically maintained when obvious faults do not occur to the system, so that the maintenance cost of the system is reduced.

The beneficial effect of this application lies in: when the equipment runs, whether the equipment fails or not is judged by monitoring the running data of the equipment in real time, the level of the failure is determined, different maintenance strategies are determined according to different failure levels, and the equipment is automatically maintained. And then improved maintenance efficiency to staff's work load has been reduced.

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

in step a1, comparing the operational data of the device with standard data;

in step a2, when the operation data of the equipment is consistent with the standard data, determining that the equipment does not have a fault;

in step a3, when the operation data of the device is inconsistent with the standard data, it is determined that the device has failed.

In this embodiment, in order to determine whether a device fails, the operating data of the device is compared with standard data; there are various specific comparison methods, and the most common method is to give preset reference ranges to data of different operating states, such as preset temperature of an engine, vibration frequency of equipment, and the like; the fault type can also be given according to different data combinations, for example, in the starting stage of the equipment, the vibration amplitude and the frequency of the equipment should be gradually increased and kept relatively stable after being increased to the operation data interval in the normal operation stage, but if the vibration amplitude is increased and the vibration frequency is reduced in the starting stage, the vibration data of the equipment is abnormal; the fluctuation condition of the operation data within a period of time can be analyzed, and whether the equipment is stably operated or not is judged, and whether the equipment accords with a preset state or not is judged. When the operation data of the equipment is consistent with the standard data, determining that the equipment does not have a fault; and when the operation data of the equipment is inconsistent with the standard data, determining that the equipment fails.

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

in step B1, determining how similar the operating data of the device is to the standard data;

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

In this embodiment, the type and level of the fault is determined by how similar the computing device operational data is to the standard data.

Firstly, the similarity between the operation data of the equipment and the standard data is determined, the similarity can be the similarity between the monitoring data and the standard data, and various methods can be selected for calculating the similarity, which is not repeated in detail in the application. It should be noted that, in the present embodiment, the similarity includes the following aspects: 1. similarity between the monitoring data of the single operation data at the current moment and the standard data; 2. similarity between the operation trend of the single operation data and the operation trend of the standard data; 3. similarity of the multiple operation data combinations and the standard data combinations; 4. similarity of the operation trend of the multiple operation data combination and the operation trend of the standard data combination. Further, a plurality of complicated fault types can be judged. Of course, the process can introduce a deep neural network model for automatic learning and analysis of different fault types.

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

when the fault level of the equipment is a first level, determining the automatic maintenance strategy corresponding to the fault level of the equipment as follows:

in step C1, expert database data is called;

in step C2, automatically adjusting the operation data of the equipment according to the specific executive component of the equipment, the feedback value of the sensor and the expert database data;

in step C3, in the process of adjusting the operation data of the device, it is continuously determined whether the fault of the device is resolved according to the operation data of the device.

In this embodiment, if the device failure level is the first level, it indicates that the failure level is relatively low. And calling expert database data, specifically calling expert database data in the centralized control station for automatic maintenance preprocessing when the method of the embodiment is applied to the equipment maintenance system shown in fig. 2, wherein preset fault types and solutions are stored in the expert database data, and historical solutions stored in historical system maintenance are also stored in the expert database data.

Then, automatically adjusting the cluster data of the field equipment controller according to the specific executive component of the equipment, the feedback value of the sensor and the expert database data, thereby controlling the equipment state; according to the comparison between the current equipment operation data and the expert database data, the current fault type and the fault processing scheme can be determined, and then the conditions are automatically carried out on the field equipment operation data, so that the equipment state is controlled.

Meanwhile, in the process of adjusting the operation data of the equipment, whether the fault of the equipment is removed or not is continuously judged according to the operation data of the equipment, and if the data are found to be in a normal range through adjustment, the fault is removed; and if the data still has the abnormity, switching to a maintenance strategy with higher fault level.

The beneficial effect of this embodiment lies in: when the equipment fault is low, data are directly called from the local expert database data, a corresponding maintenance method is searched, and the data of the equipment are adjusted, so that the time and workload of manual monitoring are reduced, and the timeliness and high efficiency of equipment maintenance are guaranteed.

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

in step D1, performing fault information query matching on the database cloud and the remote assistance end;

in step D2, when it is monitored that historical data of similar failure solutions exist in the cloud or the assistant of the database, the historical data of the similar failure solutions are called to perform automatic maintenance on the device.

In this embodiment, if the device failure level is the second level, it indicates that the failure level is relatively high. The method comprises the steps that fault information is inquired and matched with a database cloud end and a remote assistance end, the database cloud end not only stores preset common fault types of different devices, but also stores historical maintenance data of a plurality of device sites, the remote assistance end comprises a device manufacturer assistance end, an expert assistance end and the like, when the method is applied to a device maintenance system shown in the figure 2, when the fault level is the second level, cloud end joint online maintenance is conducted, and the maintenance end and a centralized control station automatically access the database cloud end and the remote assistance end 1-n to conduct fault information matching inquiry. And then, when the historical data of similar fault solutions exist in the cloud end or the assisting end of the database, calling the historical data of the similar fault solutions to automatically maintain the equipment.

In one embodiment, in case the fault level of the device does not reach a preset level, the method further comprises the following steps E1-E2:

in step E1, when the automatic maintenance fails, raising the fault level of the equipment;

in step E2, an automatic maintenance policy corresponding to the promoted fault level is selected to perform automatic maintenance on the device.

In this embodiment, a plurality of failure levels are set, and different failure levels correspond to different failure maintenance policies. When low-level faults occur, the maintenance is preferentially carried out through a low-level fault maintenance strategy, so that the maintenance is timely and efficient; and when the automatic maintenance fails, the fault level of the equipment is promoted, an automatic maintenance strategy corresponding to the promoted fault level is selected to automatically maintain the equipment, and then the equipment is maintained under the high-level fault maintenance strategy, so that the system is ensured to automatically complete the maintenance of the equipment as much as possible.

In one embodiment, in case the fault level of the device reaches a preset level, the method further comprises the following steps F1-F2:

in step F1, when the automatic maintenance fails, information related to the failure is acquired;

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

In the embodiment, when the fault maintenance strategy of the highest level is reached and the automatic maintenance fails, the information related to the fault is acquired; and sending an alarm indicating signal, and displaying information related to the fault on a man-machine interaction interface.

And furthermore, when the system fails and is not successfully maintained under all the fault corresponding strategies, the fault can be fed back in time, and equipment maintenance is carried out by workers, so that the damage of the equipment caused by the continuous operation of the system in a fault state is avoided.

Fig. 5 is a block diagram of an apparatus for maintaining equipment according to an embodiment of the present application, and as shown in fig. 5, the apparatus for maintaining equipment includes:

an obtaining module 501, configured to obtain operation data of a device in an operation process of the device;

a judging module 502, configured to judge whether the device fails according to the operation data of the device;

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

a second determining module 504 for determining an automatic maintenance policy corresponding to a failure level of the device;

and the maintenance module 505 is used for automatically maintaining the equipment according to the corresponding maintenance strategy.

Fig. 6 is a schematic hardware structure diagram of an apparatus maintenance system in an embodiment of the present application, as shown in fig. 6, including:

at least one processor 620; and the number of the first and second groups,

a memory 604 communicatively coupled to the at least one processor 620; wherein the content of the first and second substances,

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

Referring to fig. 6, the equipment maintenance system 600 may include one or more of the following components: processing component 602, memory 604, power component 606, multimedia component 608, audio component 610, input/output (I/O) interface 612, 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 a portion of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 can include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.

The memory 604 is configured to store various types of data to support the operation of the device maintenance system 600. Examples of such data include instructions for any application or method operating on device maintenance system 600, such as text, pictures, video, and so forth. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices 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 disks.

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

The multimedia component 608 includes a screen that provides an output interface between the device maintenance system 600 and a 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 an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or slide action, but also monitor the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 may also include a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device maintenance system 600 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

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

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

The sensor component 614 includes one or more sensors for providing status assessment of various aspects of the equipment maintenance system 600. For example, the sensor assembly 614 may include an acoustic sensor. Additionally, the sensor assembly 614 may monitor the open/closed status of the equipment maintenance system 600, the relative positioning of the components, such as the display and keypad of the equipment maintenance system 600, the operational status of the equipment maintenance system 600 or a component of the equipment maintenance system 600, such as the operational status of the grid plate, the structural status, the operational status of the discharge blade, etc., the orientation or acceleration/deceleration of the equipment maintenance system 600, and the temperature change of the equipment maintenance system 600. The sensor assembly 614 may include a proximity sensor configured to monitor the presence of nearby objects without any physical contact. The 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 stack thickness sensor, or a temperature sensor.

The communication component 616 is configured to enable the device maintenance system 600 to provide communication capabilities with other devices and cloud platforms in a wired or wireless manner. The device maintenance system 600 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an 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 further includes a Near Field Communication (NFC) module to facilitate short-range communications. 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, the 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 Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the device maintenance methods described in any of the above embodiments.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or 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 (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

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 application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such 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 intended to include such modifications and variations as well.

Claims

1. An apparatus maintenance method, comprising:

when equipment fails, determining the fault level of the equipment;

2. The method of claim 1, wherein said determining whether the device is malfunctioning based on operational data of the device comprises:

comparing the operating data of the equipment with standard data;

3. The method of claim 2, wherein the determining a failure level of a device comprises:

4. The method of claim 1, wherein the determining an automatic maintenance policy corresponding to a failure level of the device comprises:

calling expert database data;

5. The method of claim 1, wherein the determining an automatic maintenance policy corresponding to a failure level of the device comprises:

6. The method of claim 1, wherein in the event that the failure level of the device does not reach a preset level, the method further comprises:

7. The method of claim 1, wherein in the event that the failure level of the device reaches a preset level, the method further comprises:

8. An equipment maintenance device, comprising:

9. An equipment maintenance system, comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to perform the device maintenance method of any of claims 1-7.

10. A computer-readable storage medium, wherein instructions in the storage medium, when executed by a corresponding processor of a device maintenance system, enable the device maintenance system to implement the device maintenance method of any one of claims 1-7.