CN112612676A - Equipment monitoring method and device - Google Patents
Equipment monitoring method and device Download PDFInfo
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
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- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
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Abstract
The application relates to the field of safety prevention and control, and provides a method and a device for monitoring equipment, which can acquire equipment parameters; determining anomaly information of the device based on the device parameters; inquiring in a knowledge base to obtain a preset processing mode corresponding to the abnormal information based on the abnormal information; and generating alarm information based on the abnormal information and the preset processing mode. The method and the device can realize automatic monitoring of the equipment.
Description
Technical Field
The present application relates to the field of security prevention and control technologies, and in particular, to a method and an apparatus for monitoring a device.
Background
In the field of industrial automation, in order to ensure the safe operation of equipment or to process equipment faults in time, a worker is usually required to confirm fault information on site and process the faults.
The mode mainly depends on manpower, so that the manpower consumption is increased, related workers need to be familiar with equipment to find out the fault reason and process the fault, and the equipment inspection point is rigid and inelastic. And the manual mode has still increased the false retrieval rate, is unfavorable for the management and the maintenance of equipment.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method and an apparatus for monitoring a device, which can implement automatic monitoring and intelligent management of the device, and timely detect and quickly handle a fault.
A method of monitoring a device, the method comprising:
acquiring equipment parameters;
determining anomaly information of the device based on the device parameters;
inquiring in a knowledge base to obtain a preset processing mode corresponding to the abnormal information based on the abnormal information;
and generating alarm information based on the abnormal information and the preset processing mode.
According to a preferred embodiment of the present application, the method further comprises:
receiving a first processing mode of the abnormal information input by a user;
comparing whether the first processing mode is consistent with the preset processing mode;
and updating the first processing mode to the preset processing mode based on the fact that the first processing mode is different from the preset processing mode.
According to a preferred embodiment of the present application, the method further comprises:
receiving a second processing mode of the abnormal information input by the user;
determining that the preset processing mode corresponding to the abnormal information does not exist in the knowledge base;
and setting the second processing mode as the preset processing mode based on the fact that the preset processing mode does not exist in the knowledge base.
According to a preferred embodiment of the present application, the device parameter includes a device status parameter, and the determining the abnormal information of the device includes:
and determining the equipment state parameter as the abnormal information based on that the abnormal times of the equipment state parameter in a preset time period are greater than or equal to preset times.
According to a preferred embodiment of the present application, the device parameter includes an abnormal parameter, and the determining the abnormal information of the device includes:
determining the anomaly information based on the anomaly parameters.
According to a preferred embodiment of the present application, the method further comprises:
recording the abnormal information to form an abnormal record;
and generating a point detection item based on the abnormal record.
According to a preferred embodiment of the present application, the abnormality history includes a plurality of abnormality parameters and times when the abnormality parameters occur, and the generating the point detection item based on the abnormality history includes:
determining an average time interval of the abnormal parameter occurrence based on the time of the abnormal parameter occurrence;
generating the point of detection item based on the average time interval.
According to a preferred embodiment of the present application, the anomaly history further includes geographical location information of a plurality of devices corresponding to the anomaly information, and the monitoring method further includes:
counting the abnormal times of the abnormal parameters in a preset time period;
and outputting the geographical position information of the equipment corresponding to at least part of the abnormal parameters, at least part of the abnormal times and at least part of the abnormal parameters to an output interface based on the abnormal times.
According to a preferred embodiment of the present application, the apparatus comprises:
a memory for storing a knowledge base;
a communication interface for receiving device parameters;
a processor coupled to the communication interface and the memory, the processor configured to:
determining anomaly information of the device based on the device parameters;
inquiring in the knowledge base based on the abnormal information to obtain a preset processing mode corresponding to the abnormal information;
and generating alarm information based on the abnormal information and the preset processing mode.
According to a preferred embodiment of the present application, the apparatus further comprises:
the input device is used for receiving a first processing mode of the abnormal information input by a user;
wherein the processor is further configured to:
and updating the first processing mode to the preset processing mode based on the fact that the first processing mode is different from the preset processing mode.
According to a preferred embodiment of the present application, the apparatus further comprises:
the input device is used for receiving a second processing mode of the abnormal information input by the user;
wherein the processor is further configured to:
determining that the preset processing mode corresponding to the abnormal information does not exist in the knowledge base;
and updating the second processing mode to the preset processing mode based on the fact that the preset processing mode does not exist in the knowledge base.
According to a preferred embodiment of the present application, the device parameters include device status parameters, and the processor is further configured to:
and determining the equipment state parameter information as the abnormal information based on that the abnormal times of the equipment state parameter in a preset time interval are greater than or equal to a preset time.
According to a preferred embodiment of the present application, the device parameters include exception parameters, and the processor is further configured to:
determining the anomaly information based on the anomaly parameters.
According to a preferred embodiment of the present application, the processor is further configured to:
recording the abnormal information to form an abnormal record;
and generating a point detection item based on the abnormal record.
According to the preferred embodiment of the present application, the exception history includes a plurality of exception parameters and the time when the exception parameters occurred;
the processor is further configured to:
determining an average time interval of the abnormal parameter occurrence based on the time of the abnormal parameter occurrence;
generating the point of detection item based on the average time interval.
According to a preferred embodiment of the present application, the anomaly record further includes geographical location information of a plurality of devices corresponding to the anomaly information, the monitoring apparatus further includes an output interface, and the processor is further configured to:
counting the abnormal times of the abnormal parameters in a preset time period;
and outputting the geographical position information of the equipment corresponding to at least part of the abnormal parameters, at least part of the abnormal times and at least part of the abnormal parameters to the output interface based on the abnormal times.
According to the technical scheme, the monitoring method and the monitoring device can automatically determine the abnormal information based on the equipment parameters and automatically acquire the preprocessing mode of the abnormal information, so that the automatic monitoring of the equipment and the automatic processing of the abnormal information can be realized, the production efficiency can be improved, and the maintenance cost can be reduced.
Drawings
Fig. 1 is a schematic structural diagram of an electronic device according to a preferred embodiment of a device monitoring method implemented in the present application;
FIG. 2 is a functional block diagram of a preferred embodiment of a monitoring device of the apparatus of the present application;
FIG. 3 is a flow chart illustrating a preferred embodiment of a monitoring method of the apparatus of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in detail below with reference to the accompanying drawings and specific embodiments.
The monitoring method of the device provided by the present Application is applied to one or more electronic devices, which are devices capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, and the hardware thereof includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The electronic device may be any electronic product capable of performing human-computer interaction with a user, for example, an industrial computer, a Personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game machine, an interactive Internet Protocol Television (IPTV), a smart wearable device, and the like.
The electronic device may also include a network device and/or a user device. The network device includes, but is not limited to, a single network server, a server group consisting of a plurality of network servers, or a Cloud Computing (Cloud Computing) based Cloud consisting of a large number of hosts or network servers. The Network where the Network device is located includes, but is not limited to, the internet, a wide area Network, a metropolitan area Network, a local area Network, a Virtual Private Network (VPN), and the like.
As shown in fig. 1, which is a schematic structural diagram of an electronic device 1 provided in this embodiment, it should be noted that fig. 1 only shows the electronic device 1 having components 12 to 17, and it can be understood by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation to the electronic device 1, and may include fewer or more components than those shown in the drawings, or may combine some components, or may arrange different components.
The electronic device 1 may comprise a memory 12, a processor 13 and a bus 17, a communication interface 14, an input means 15 and an output interface 16, and may further comprise a computer program stored in the memory 12 and executable on the processor 13, such as a monitoring program of the device.
The communication interface 14 may be used to enable communication with at least one device when the processor 13 executes the computer program in the memory 12. The communication interface 14 may be an existing interface of the electronic device 1 or may be a newly built interface of the electronic device 1. Communication interface 14 may be a Network interface such as a Wireless Local Area Network (WLAN) interface, a cellular Network communication interface, a combination thereof, or the like. In this embodiment, the communication interface 14 is configured to receive a device parameter of at least one device, and transmit the device parameter to the processor 13.
In this embodiment, the input device 15 is used for receiving a first processing mode of the abnormal information input by the user and a second processing mode of the abnormal information input by the user. The output interface 16 is at least used for outputting at least part of the abnormal parameters, at least part of abnormal times and at least part of the geographical location information of the equipment corresponding to the abnormal parameters.
Alternatively, in some embodiments, the output interface 16 may be a display, and the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
Wherein the communication interface 14 is operable to enable communication with the electronic device 1 when the processor 13 executes the computer program in the memory 12. The communication interface 14 may be an interface existing in the monitoring apparatus 11 of the device, or may be an interface newly built in the monitoring apparatus 11 of the device. Communication interface 14 may be a Network interface such as a Wireless Local Area Network (WLAN) interface, a cellular Network communication interface, a combination thereof, or the like.
The bus 17 is used to provide a channel for mutual communication among the memory 12, the processor 13, the communication interface 14, and the like in the monitoring apparatus 11 of the device. In this embodiment, when the communication interface 14 receives the device parameter, the device parameter flows to the processor 13 through the bus 17 at the first time. The bus 17 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus. The bus is arranged to enable connection communication between the memory 12 and at least one processor 13 or the like.
The memory 12 includes at least one type of readable storage medium, which includes flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 12 may in some embodiments be an internal storage unit of the electronic device 1, for example a removable hard disk of the electronic device 1. The memory 12 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 1. Further, the memory 12 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 12 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of a monitoring program of the device, etc., but also to temporarily store data that has been output or is to be output. In the present embodiment, the knowledge base is further stored in the memory, and the knowledge base can be continuously updated.
The processor 13 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 13 is a Control Unit (Control Unit) of the electronic device 1, connects various components of the electronic device 1 by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (e.g., executing a monitoring program of the device, etc.) stored in the memory 12 and calling data stored in the memory 12.
The processor 13 executes an operating system of the electronic device 1 and various installed application programs. The processor 13 executes the application program to implement the steps in the monitoring method embodiments of the above-described respective devices, such as the steps shown in fig. 1.
In one embodiment, the processor 13 is configured to: determining anomaly information of the device based on the device parameters; inquiring in the knowledge base based on the abnormal information to obtain a preset processing mode corresponding to the abnormal information; and generating alarm information based on the abnormal information and the preset processing mode.
In one embodiment, the processor 13 is further configured to: and updating the first processing mode to the preset processing mode based on the fact that the first processing mode is different from the preset processing mode.
In one embodiment, the processor 13 is further configured to: determining that the preset processing mode corresponding to the abnormal information does not exist in the knowledge base; and updating the second processing mode to the preset processing mode based on the fact that the preset processing mode does not exist in the knowledge base.
In one embodiment, the processor 13 is further configured to: and determining the equipment state parameter information as the abnormal information based on that the abnormal times of the equipment state parameter in a preset time interval are greater than or equal to a preset time.
In one embodiment, the processor 13 is further configured to: determining the anomaly information based on the anomaly parameters.
In one embodiment, the processor 13 is further configured to: recording the abnormal information to form an abnormal record; and generating a point detection item based on the abnormal record.
In one embodiment, the processor 13 is further configured to: determining an average time interval of the abnormal parameter occurrence based on the time of the abnormal parameter occurrence; generating the point of detection item based on the average time interval.
In one embodiment, the processor 13 is further configured to: counting the abnormal times of the abnormal parameters in a preset time period; based on the abnormal times, outputting the geographic location information of the equipment corresponding to at least part of the abnormal parameters, at least part of the abnormal times and at least part of the abnormal parameters to the output interface 16.
Illustratively, the computer program may be partitioned into one or more modules/units, which are stored in the memory 12 and executed by the processor 13 to accomplish the present application. The one or more modules/units may be a series of computer readable instruction segments capable of performing certain functions, which are used for describing the execution process of the computer program in the electronic device 1. For example, the computer program may be divided into an acquisition unit, a determination unit, a query unit, a generation unit, etc.
The integrated unit implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a computer device, or a network device) or a processor (processor) to execute parts of the monitoring method of the device according to the embodiments of the present application.
The integrated modules/units of the electronic device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the processes in the methods of the embodiments described above may be implemented by a computer program, which may be stored in a computer-readable storage medium and executed by a processor, to implement the steps of the embodiments of the methods described above.
Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), random-access Memory, or the like.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 13 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The specific implementation method of the instruction by the processor 13 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, which is not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be understood by those skilled in the art that the schematic diagram is merely an example of the electronic device 1, and does not constitute a limitation to the electronic device 1, the electronic device 1 may have a bus-type structure or a star-type structure, the electronic device 1 may further include more or less hardware or software than those shown in the figures, or different component arrangements, for example, the electronic device 1 may further include an input and output device, a network access device, and the like.
It should be noted that the electronic device 1 is only an example, and other existing or future electronic products, such as those that can be adapted to the present application, should also be included in the scope of protection of the present application, and are included by reference.
Fig. 2 is a schematic diagram of functional modules of a monitoring apparatus of the present application according to a preferred embodiment. The monitoring device 11 of the apparatus comprises an obtaining unit 110, a determining unit 111, an inquiring unit 112 and a generating unit 113. The module/unit referred to in this embodiment is a series of computer program segments capable of being executed by the processor 13 and performing a fixed function, and is stored in the memory 12. In the present embodiment, the functions of the modules/units will be described in detail in the following embodiments.
In one embodiment, the obtaining unit 110 is configured to obtain the device parameter.
It should be noted that the present embodiment can be applied to a plurality of devices. Namely, the obtaining unit 110 is used for obtaining device parameters of a plurality of devices. In at least one embodiment of the present application, the device parameters may include, but are not limited to, one or a combination of more of the following: device status parameters, exception parameters.
The device state parameter refers to a parameter that can be determined as a device abnormal after reaching a certain upper limit, such as: machine temperature, current, load, etc.
The abnormal parameter refers to a parameter which can be determined as the abnormality of the equipment when the abnormal parameter occurs, such as: whether to fail down.
In one embodiment, the determining unit 111 determines the anomaly information of the device based on the device parameter. In this embodiment, when the device parameter is the device status parameter, the determining unit 111 determines that the abnormality information of the device includes:
and determining the equipment state parameter as the abnormal information based on that the abnormal times of the equipment state parameter in a preset time period are greater than or equal to preset times.
The preset times can be configured by self-definition, such as 5 times.
The preset time period can be configured according to the actual running state of the machine, such as within 8 hours.
For example: when 6 times of temperature abnormality of the equipment within 8 hours is detected, the abnormality information is determined to be temperature abnormality.
In this embodiment, when the device parameter includes an abnormal parameter, the determining unit 111 determines that the abnormal information of the device includes:
determining the anomaly information based on the anomaly parameters.
For example: and when the temperature of the equipment exceeds the normal working temperature, determining that the abnormal information is overhigh temperature.
In one embodiment, the abnormality information may be further displayed by a display device: the temperature is too high.
Through the embodiment, the real-time monitoring of the equipment can be realized, the abnormal information of the equipment can be automatically determined, the time consumption caused by manual investigation is avoided, and the time from fault finding to fault recovery is effectively shortened.
The query unit 112 queries the knowledge base to obtain a preset processing mode corresponding to the abnormal information based on the abnormal information.
The knowledge base can be pre-established according to expert experience, and the corresponding relation between the abnormal information and the abnormal processing mode is stored in the knowledge base. By establishing the knowledge base, the operation flow of fault processing can be standardized. The knowledge base can be an established database, or a database which can accept the input of the information of the staff and update continuously based on the established database.
Specifically, traversal retrieval may be performed in the knowledge base according to the abnormal information, and a processing manner corresponding to the retrieved information matched with the abnormal information is determined as the preset processing manner.
For example: and when the abnormal information is 'the coating thickness is too low', inquiring the knowledge base to determine that the processing mode corresponding to the abnormal information 'the coating thickness is too low' is 'the target sputtering rate improvement', and then determining that the preset processing mode is 'the target sputtering rate improvement'.
The generating unit 113 generates alarm information based on the abnormal information and the preset processing mode.
Specifically, the generating unit 113 generates the alarm information based on the abnormal information and the preset processing manner, including: acquiring a preset alarm template; and adding the abnormal information and the preset processing mode to the corresponding position of the preset alarm template to generate the alarm information.
Through the implementation mode, the alarm can be given in time so as to prompt related personnel to deal with the abnormity in time and eliminate equipment faults in time.
In at least one embodiment of the present application, the monitoring device 11 further includes a recording unit (not shown in the figure) for recording the abnormal information to form an abnormal history;
the generating unit is also used for generating a check point item based on the abnormal record.
Specifically, the abnormality history includes a plurality of abnormality parameters and times when the abnormality parameters occur, and the generating of the point detection item based on the abnormality history includes:
determining an average time interval of the abnormal parameter occurrence based on the time of the abnormal parameter occurrence;
generating the point of detection item based on the average time interval.
Specifically, sorting is performed according to the average time interval from small to large, and the top 10 bits are taken as the point detection items, or the items with the average time interval larger than a preset threshold value are taken as the point detection items.
For example, if the cutting fluid level is lower than the minimum level within 1h, and if the coating equipment is abnormal within 2h, the items "cutting equipment" and "coating equipment" are used as the inspection items.
With the above embodiment, the device can be subjected to targeted point detection time based on the data and time-elastic configuration when a failure occurs in history to generate point detection items.
Furthermore, the abnormal record also comprises geographical location information of a plurality of devices corresponding to the abnormal information, and the abnormal times of the abnormal parameters in a preset time period are counted;
and outputting the geographic position information of the equipment corresponding to at least part of the abnormal parameters, at least part of the abnormal times and at least part of the abnormal parameters to an output interface 16 based on the abnormal times.
It should be noted that, since the device is centrally managed, multiple areas (either province across, city across, or factory across) may be managed, so that the specific geographic location of the abnormal device can be determined by the staff in assistance of the geographic location information.
In this embodiment, the abnormal times are arranged from large to small, and may be specifically set to be displayed with higher priority as the abnormal times are more numerous within a certain time range.
The "part" may represent a preset proportion, and the preset proportion may be configured by a user.
Through the embodiment, the abnormal information can be visualized, so that relevant workers can check and maintain conveniently and timely.
In at least one embodiment of the present application, the monitoring apparatus 11 further includes a receiving unit, a comparing unit, and an updating unit (not shown in the figure), where the receiving unit is configured to receive a first processing manner of the abnormal information input by the user; the comparison unit is used for comparing whether the first processing mode is consistent with the preset processing mode or not; the updating unit is used for updating the first processing mode to the preset processing mode based on the fact that the first processing mode is different from the preset processing mode.
Specifically, when the first processing manner is a supplement to the preset processing manner or another processing manner in which the first processing manner is a preset processing manner, the first processing manner is merged to the preset processing manner to update the preset processing manner.
Further, when the first processing manner is different from the preset processing manner, the first processing manner may be replaced with the preset processing manner to update the preset processing manner.
Through the implementation mode, the updated preset processing mode has two processing modes for the selection of workers when the follow-up abnormal information appears, and then the processing modes corresponding to different abnormal information in the knowledge base can be continuously updated and optimized according to actual needs, so that the data in the knowledge base has higher practicability.
In at least one embodiment of the present application, the receiving unit is further configured to receive a second processing manner of the exception information input by the user;
the comparison unit is further used for determining that the preset processing mode corresponding to the abnormal information does not exist in the knowledge base;
the updating unit is further configured to set the second processing mode as the preset processing mode based on that the preset processing mode does not exist in the knowledge base.
Through the implementation mode, the knowledge base can be further improved, the processing mode corresponding to the abnormal information which is not originally in the knowledge base is updated to the knowledge base, and the coverage of the knowledge base is more comprehensive.
According to the technical scheme, the automatic monitoring of the equipment can be realized, so that the usability of the equipment is improved.
Fig. 3 is a schematic flow chart of a monitoring method of the apparatus according to a preferred embodiment of the present invention. The order of the steps in the flow diagram can be changed and some steps can be omitted according to different requirements. The monitoring method of the equipment comprises the following steps:
in step S11, device parameters are acquired.
This step receives the device parameters by the communication interface and communicates the device parameters to the processor. It should be noted that the present embodiment can be applied to a plurality of devices.
In at least one embodiment of the present application, the device parameters may include, but are not limited to, one or a combination of more of the following: device status parameters, exception parameters.
The device state parameter refers to a parameter that can be determined as a device abnormal after reaching a certain upper limit, such as: machine temperature, current, load, etc.
The abnormal parameter refers to a parameter which can be determined as the abnormality of the equipment when the abnormal parameter occurs, such as: and (5) stopping the machine in a fault.
Step S12, determining abnormality information of the device based on the device parameter.
In this embodiment, when the device parameter is the device status parameter, the determining the abnormal information of the device includes:
and determining the equipment state parameter as the abnormal information based on that the abnormal times of the equipment state parameter in a preset time period are greater than or equal to preset times. The step can be completed by a processor, the memory stores preset times, the processor counts the abnormal times of the equipment parameters and compares the abnormal times with the preset times, and the processor determines the equipment state parameters as the abnormal information based on the fact that the abnormal times of the equipment state parameters in a preset time period are greater than or equal to the preset times.
The preset times can be configured by self-definition, such as 5 times.
The preset time period can be configured according to the actual running state of the machine, such as within 8 hours.
For example: when 6 times of temperature abnormality of the equipment within 8 hours is detected, the abnormality information is determined to be temperature abnormality.
In this embodiment, when the device parameter includes an abnormal parameter, the determining the abnormal information of the device includes:
determining the anomaly information based on the anomaly parameters.
For example: and when the temperature of the equipment exceeds the normal working temperature, determining that the abnormal information is overhigh temperature.
In one embodiment, the abnormality information may be further displayed by a display device: the temperature is too high.
Through the embodiment, the real-time monitoring of the equipment can be realized, the abnormal information of the equipment can be automatically determined, the time consumption caused by manual investigation is avoided, and the time from fault finding to fault recovery is effectively shortened.
And step S13, based on the abnormal information, inquiring in a knowledge base to obtain a preset processing mode corresponding to the abnormal information.
This step is performed by a processor having the knowledge base stored in memory. The processor may perform traversal retrieval in the knowledge base according to the abnormal information, and determine a processing mode corresponding to the retrieved information matched with the abnormal information as the preset processing mode.
The knowledge base can be pre-established according to expert experience, and the corresponding relation between the abnormal information and the abnormal processing mode is stored in the knowledge base. By establishing the knowledge base, the operation flow of fault processing can be standardized. The knowledge base can be an established database, or a database which can accept the input of the information of the staff and update continuously based on the established database.
For example: and when the abnormal information is 'the coating thickness is too low', inquiring the knowledge base to determine that the processing mode corresponding to the abnormal information 'the coating thickness is too low' is 'the target sputtering rate improvement', and then determining that the preset processing mode is 'the target sputtering rate improvement'.
And step S14, judging whether the preset processing mode exists in the knowledge base.
If yes, go to step S15-step S17; if not, go to step S19-step S21. And the processor inquires in the knowledge base to judge whether a preset processing mode corresponding to the abnormal information exists in the knowledge base.
And step S15, generating alarm information based on the abnormal information and the preset processing mode.
Specifically, the generating of the alarm information based on the abnormal information and the preset processing mode includes:
acquiring a preset alarm template;
and adding the abnormal information and the preset processing mode to the corresponding position of the preset alarm template to generate the alarm information.
Through the implementation mode, the alarm can be given in time so as to prompt related personnel to deal with the abnormity in time and eliminate equipment faults in time.
In at least one embodiment of the present application, the method further comprises:
recording the abnormal information to form an abnormal record; and generating a point detection item based on the abnormal record.
Specifically, the abnormality history includes a plurality of abnormality parameters and times when the abnormality parameters occur, and the generating of the point detection item based on the abnormality history includes: determining an average time interval of the abnormal parameter occurrence based on the time of the abnormal parameter occurrence; generating the point of detection item based on the average time interval.
Specifically, the items are sorted from small to large according to the average time interval, and the top 10 items are taken as the point detection items, or the items with the average time interval larger than a preset threshold value are taken as the point detection items. The shorter the average time interval, the higher the frequency of occurrence of the inspection point item, and the more necessary the inspection is to be performed as an important object of interest.
For example, if the cutting fluid level is lower than the minimum level within 1h, and if the coating equipment is abnormal within 2h, the items "cutting equipment" and "coating equipment" are used as the inspection items.
With the above embodiment, the device can be subjected to targeted point detection time based on the data and time-elastic configuration when a failure occurs in history to generate point detection items.
Further, the anomaly history further includes geographical location information of a plurality of devices corresponding to the anomaly information, and the monitoring method further includes:
counting the abnormal times of the abnormal parameters in a preset time period;
and outputting the geographic position information of the equipment corresponding to at least part of the abnormal parameters, at least part of the abnormal times and at least part of the abnormal parameters to an output interface 16 based on the abnormal times.
It should be noted that, since the devices are managed in a centralized manner, a plurality of areas (either province crossing or city crossing or factory crossing) can be managed, and therefore, the geographical location information can assist the staff in determining where the abnormal devices are located.
In this embodiment, the abnormal times are arranged from large to small, and may be specifically set to be displayed with higher priority as the abnormal times are more numerous within a certain time range.
The "part" may represent a preset proportion, and the preset proportion may be configured by a user.
Through the embodiment, the abnormal information can be visualized, so that relevant workers can check and maintain conveniently and timely.
And step S16, receiving a first processing mode of the abnormal information input by the user.
For example, the user inputs the first processing mode through an input device, such as a keyboard, and the input device transmits the first processing mode input by the user to the processor.
And step S17, comparing whether the first processing mode is consistent with the preset processing mode.
The processor performs no comparison between the first processing method and the preset processing method based on the first processing method received in step S16 to determine whether the first processing method is consistent with the preset processing method.
If not, go to step S18; if yes, go to step S22.
Step S18, based on the first processing mode being different from the preset processing mode, updating the first processing mode to the preset processing mode.
Specifically, when the first processing manner is a supplement to the preset processing manner, the processor merges the first processing manner to the preset processing manner to update the preset processing manner.
Further, when the first processing mode is completely different from the preset processing mode, the processor replaces the preset processing mode with the first processing mode to update the preset processing mode.
Through the implementation mode, the updated preset processing mode has two processing modes for the selection of workers when the follow-up abnormal information appears, and then the processing modes corresponding to different abnormal information in the knowledge base can be continuously updated and optimized according to actual needs, so that the data in the knowledge base has higher practicability.
And step S19, receiving a second processing mode of the abnormal information input by the user.
For example, the user inputs the second processing mode through an input device, such as a keyboard, and the input device transmits the second processing mode input by the user to the processor.
Step S20, determining that the preset processing mode corresponding to the abnormal information does not exist in the knowledge base.
After the processor queries in the knowledge base, the processor does not query the preset processing mode corresponding to the abnormal information, and then the processor can determine that the preset processing mode does not exist in the knowledge base.
Step S21, setting the second processing mode as the preset processing mode based on the fact that the preset processing mode does not exist in the knowledge base.
The processor sets the second processing manner as the preset processing manner based on the determination step in step S20.
Through the implementation mode, the knowledge base can be further improved, the processing mode corresponding to the original abnormal information which is not in the knowledge base is updated to the knowledge base, so that the coverage of the knowledge base is more comprehensive, and a worker can retrieve the corresponding preset processing mode from the database after encountering similar abnormal conditions.
Step S22 ends or returns to step S11. Steps S11-S22 may be a periodic flow, and thus, the process may return from step S22 to step S11.
According to the technical scheme, in the monitoring method and the monitoring device provided by the embodiment, the monitoring device can automatically determine the abnormal information based on the equipment parameters and automatically acquire the preprocessing mode of the abnormal information, so that the automatic monitoring of the equipment and the automatic processing of the abnormal information can be realized, the production efficiency can be improved, and the maintenance cost can be reduced.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in system embodiments may also be implemented by one unit or means through software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.
Claims (16)
1. A method of monitoring a device, the method comprising:
acquiring equipment parameters;
determining anomaly information of the device based on the device parameters;
inquiring in a knowledge base to obtain a preset processing mode corresponding to the abnormal information based on the abnormal information;
and generating alarm information based on the abnormal information and the preset processing mode.
2. The monitoring method of claim 1, wherein the method further comprises:
receiving a first processing mode of the abnormal information input by a user;
comparing whether the first processing mode is consistent with the preset processing mode;
and updating the first processing mode to the preset processing mode based on the fact that the first processing mode is different from the preset processing mode.
3. The monitoring method of claim 1, wherein the method further comprises:
receiving a second processing mode of the abnormal information input by the user;
determining that the preset processing mode corresponding to the abnormal information does not exist in the knowledge base;
and setting the second processing mode as the preset processing mode based on the fact that the preset processing mode does not exist in the knowledge base.
4. The monitoring method of claim 1, wherein the device parameter comprises a device status parameter, and the determining the anomaly information for the device comprises:
and determining the equipment state parameter as the abnormal information based on that the abnormal times of the equipment state parameter in a preset time period are greater than or equal to preset times.
5. The monitoring method of claim 1, wherein the device parameter comprises an anomaly parameter, and the determining anomaly information for the device comprises:
determining the anomaly information based on the anomaly parameters.
6. The monitoring method of claim 1, wherein the method further comprises:
recording the abnormal information to form an abnormal record;
and generating a point detection item based on the abnormal record.
7. The monitoring method according to claim 6, wherein the abnormality history includes a plurality of abnormality parameters and times at which the abnormality parameters occurred, and the generating of the point-of-inspection item based on the abnormality history includes:
determining an average time interval of the abnormal parameter occurrence based on the time of the abnormal parameter occurrence;
generating the point of detection item based on the average time interval.
8. The monitoring method of claim 7, wherein the anomaly history further includes geographical location information of a plurality of devices corresponding to the anomaly information, the monitoring method further comprising:
counting the abnormal times of the abnormal parameters in a preset time period;
and outputting the geographical position information of the equipment corresponding to at least part of the abnormal parameters, at least part of the abnormal times and at least part of the abnormal parameters to an output interface based on the abnormal times.
9. An apparatus for monitoring a device, the apparatus comprising:
a memory for storing a knowledge base;
a communication interface for receiving device parameters;
a processor coupled to the communication interface and the memory, the processor configured to:
determining anomaly information of the device based on the device parameters;
inquiring in the knowledge base based on the abnormal information to obtain a preset processing mode corresponding to the abnormal information;
and generating alarm information based on the abnormal information and the preset processing mode.
10. The monitoring device of claim 9, wherein the device further comprises:
the input device is used for receiving a first processing mode of the abnormal information input by a user;
wherein the processor is further configured to:
and updating the first processing mode to the preset processing mode based on the fact that the first processing mode is different from the preset processing mode.
11. The monitoring device of claim 9, wherein the device further comprises:
the input device is used for receiving a second processing mode of the abnormal information input by the user;
wherein the processor is further configured to:
determining that the preset processing mode corresponding to the abnormal information does not exist in the knowledge base;
and updating the second processing mode to the preset processing mode based on the fact that the preset processing mode does not exist in the knowledge base.
12. The monitoring apparatus of claim 9, wherein the device parameter comprises a device status parameter, the processor further configured to:
and determining the equipment state parameter information as the abnormal information based on that the abnormal times of the equipment state parameter in a preset time interval are greater than or equal to a preset time.
13. The monitoring apparatus of claim 9, wherein the device parameter comprises an exception parameter, the processor further configured to:
determining the anomaly information based on the anomaly parameters.
14. The monitoring device of claim 9, wherein the processor is further configured to:
recording the abnormal information to form an abnormal record;
and generating a point detection item based on the abnormal record.
15. The monitoring device of claim 14, wherein the exception history includes a plurality of exception parameters and times at which the exception parameters occurred;
the processor is further configured to:
determining an average time interval of the abnormal parameter occurrence based on the time of the abnormal parameter occurrence;
generating the point of detection item based on the average time interval.
16. The monitoring apparatus of claim 15, wherein the exception history further includes geographic location information of a plurality of devices corresponding to the exception information, the monitoring apparatus further including an output interface, the processor further configured to:
counting the abnormal times of the abnormal parameters in a preset time period;
and outputting the geographical position information of the equipment corresponding to at least part of the abnormal parameters, at least part of the abnormal times and at least part of the abnormal parameters to the output interface based on the abnormal times.
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