CN112348211B - Process diagnosis method, device, equipment and medium - Google Patents
Process diagnosis method, device, equipment and medium Download PDFInfo
- Publication number
- CN112348211B CN112348211B CN202011220671.0A CN202011220671A CN112348211B CN 112348211 B CN112348211 B CN 112348211B CN 202011220671 A CN202011220671 A CN 202011220671A CN 112348211 B CN112348211 B CN 112348211B
- Authority
- CN
- China
- Prior art keywords
- equipment
- diagnosed
- fault
- diagnosis
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Factory Administration (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The application discloses a process diagnosis method, a device, equipment and a medium, comprising the following steps: dividing a plurality of devices to be diagnosed into a preset number of device groups according to the project requirements of the preset number, and constructing a project diagnosis list for each device group in the preset number of device groups for an operator to check; acquiring a real-time state parameter set of equipment to be diagnosed; judging whether the target state parameters in the real-time state parameter set are matched with target preset running conditions or not; when the equipment to be diagnosed is not matched, determining that the equipment to be diagnosed has a fault, and determining the fault type of the fault; inquiring a fault remedy list according to the fault type, and determining a target remedy; a base diagnostic term is obtained based on the target remedial action, the device identifier, the target status parameter, the target preset operating condition, and the fault type. The application can shorten the positioning time of the fault equipment and the determining period of the fault maintenance scheme, thereby shortening the shutdown time of the large-scale comprehensive system equipment and improving the production efficiency.
Description
Technical Field
The application relates to the technical field of metallurgy, in particular to a process diagnosis method, a process diagnosis device, process diagnosis equipment and a process diagnosis medium.
Background
Along with the continuous improvement of productivity in the metallurgical industry, manufacturers pay more and more attention to stability and safety in the production process of products, and pay more and more attention to the degree of automation of equipment, so that machines and equipment are more and more complex, and the running speed of the machines and equipment is also higher and higher. As a result, the demands of manufacturers for continuous safe operation of machines and equipment are also increasing. In the related art, by arranging an alarm device on a single device, whether the device has a fault or not can be rapidly determined, however, the method is not suitable for large-scale integrated system devices. When the large-scale integrated system equipment operates abnormally, the operation faults of the large-scale integrated system equipment can be known in a general way, but the specific equipment with faults cannot be positioned, the type of the faults cannot be determined quickly, the positioning time of the fault equipment and the determination period of a fault maintenance scheme are long, the equipment downtime is long, and the production efficiency is reduced.
Disclosure of Invention
The embodiment of the application solves the technical problems of long fault equipment positioning time and long fault maintenance scheme determining period in the prior art by providing the process diagnosis method, the device, the equipment and the medium, and realizes the technical effects of shortening the fault equipment positioning time and the fault maintenance scheme determining period, shortening the equipment downtime and improving the production efficiency.
In a first aspect, the present application provides a process diagnostic method, the method being applied to a process diagnostic system having a plurality of devices to be diagnosed connected thereto; the method comprises the following steps:
dividing a plurality of devices to be diagnosed into a preset number of device groups according to the project requirements of the preset number, and constructing a project diagnosis list for each device group in the preset number of device groups for an operator to check; wherein the item diagnosis list is obtained from basic diagnosis items contained in a diagnosis list of each device to be diagnosed in the device group;
wherein the basic diagnostic items in the diagnostic list are obtained as follows:
acquiring a real-time state parameter set of equipment to be diagnosed;
judging whether the target state parameters in the real-time state parameter set are matched with target preset running conditions or not;
when the target state parameter is not matched with the target preset operation condition, determining that the equipment to be diagnosed has a fault, and determining the fault type of the fault;
inquiring a fault remedy list according to the fault type, and determining a target remedy;
and obtaining a basic diagnosis item based on the target remedial measure, the equipment identifier corresponding to the equipment to be diagnosed, the target state parameter, the target preset operation condition and the fault type.
Further, the process diagnostic system is also connected with a diagnostic client; after constructing the project diagnostic list for each of the preset number of device groups, the method further comprises:
acquiring input operation of a user, and determining an item diagnosis list based on the input operation;
converting the item diagnosis list into text information;
the text information is sent to the diagnostic client for display for viewing by the operator.
Further, after constructing the project diagnosis list for each of the preset number of device groups, the method further comprises:
and monitoring the diagnosis list, and updating the changed content in the diagnosis list to a diagnosis log of the equipment to be diagnosed when the content of the diagnosis list is changed.
Further, when the number of basic diagnosis items contained in the diagnosis list is a plurality of, the plurality of basic diagnosis items are ordered according to a preset ordering rule; wherein, the preset ordering rule refers to:
when the fault types corresponding to the plurality of basic diagnosis items are warning faults, sequencing according to the priority of the plurality of basic diagnosis items in the warning faults; and
when the fault type corresponding to the plurality of basic diagnosis items is an error fault, sorting according to the priority of the plurality of basic diagnosis items in the error fault.
Further, the preset ordering rule refers to: when the fault types corresponding to the plurality of basic diagnosis items comprise warning faults and error faults, arranging the basic diagnosis items belonging to the error faults before the basic diagnosis items belonging to the warning faults; the basic diagnosis items belonging to the error faults are ordered according to the priority of the error faults; the basic diagnosis items belonging to the warning fault are ordered according to the priority of the warning fault.
Further, after constructing the project diagnosis list for each of the preset number of device groups, the method further comprises:
after constructing the project diagnostic list for each of the preset number of device groups, the method further comprises:
performing fault repair on the first basic diagnosis item in the diagnosis list;
in the process of repairing the first basic diagnosis item, detecting whether a second basic diagnosis item is newly added in the diagnosis list, wherein the priority of the fault type corresponding to the second basic diagnosis item is higher than that of the fault type corresponding to the first basic diagnosis item;
if the basic diagnostic item is newly added, the repair operation of the first basic diagnostic item is interrupted, and the second basic diagnostic item is subjected to fault repair.
Further, before dividing the plurality of devices to be diagnosed into the preset number of device groups according to the preset number of project requirements, the method further includes:
performing a self-test operation on the process diagnostic system;
when the process diagnosis system passes the self-checking operation, the step of dividing the plurality of devices to be diagnosed into a preset number of device groups according to the preset number of project requirements is executed.
In a second aspect, the present application provides a process diagnostic device comprising:
the project diagnosis list construction module is used for dividing the plurality of equipment to be diagnosed into a preset number of equipment groups according to the preset number of project requirements, and constructing a project diagnosis list for each equipment group in the preset number of equipment groups for an operator to check; wherein the item diagnosis list is obtained from basic diagnosis items contained in a diagnosis list of each device to be diagnosed in the device group;
the acquisition module is used for acquiring a real-time state parameter set of the equipment to be diagnosed;
the judging module is used for judging whether the target state parameters in the real-time state parameter set are matched with the target preset running conditions or not;
the fault type determining module is used for determining that the equipment to be diagnosed has a fault when the target state parameter is not matched with the target preset operation condition, and determining the fault type of the fault;
the target remedial measure determining module is used for inquiring the fault remedial measure list according to the fault type and determining target remedial measures;
and the input module is used for obtaining basic diagnosis items based on the target remedial measures, the equipment identifiers corresponding to the equipment to be diagnosed, the target state parameters, the target preset operation conditions and the fault types.
In a third aspect, the present application provides an electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute to implement a process diagnostic method.
In a fourth aspect, the present application provides a non-transitory computer readable storage medium that, when executed by a processor of an electronic device, enables the electronic device to perform a process diagnostic method.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. according to the application, the fault equipment can be rapidly positioned for the whole large-scale integrated system equipment through the project diagnosis list, and the fault type of the fault equipment can be preliminarily determined, so that a fault maintenance scheme is rapidly formulated, the downtime of the large-scale integrated system equipment is reduced, and the production efficiency is improved.
2. According to the application, all target fault information is packaged, namely, the equipment identifier, the target state parameter, the target preset running condition, the fault type and the target remedy corresponding to the equipment to be diagnosed are packaged and are input into a diagnosis list as a basic diagnosis item, so that the positioning time of the fault equipment and the determining period of a fault maintenance scheme are shortened, the shutdown time of the large-scale comprehensive system equipment is shortened, and the production efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a process diagnostic method provided by the present application;
FIG. 2 is a schematic diagram of a process diagnostic device according to the present application;
fig. 3 is a schematic structural diagram of an electronic device according to the present application.
Detailed Description
The embodiment of the application solves the technical problems of long positioning time of fault equipment and long determining period of a fault maintenance scheme in the prior art by providing a process diagnosis method.
The technical scheme of the embodiment of the application aims to solve the technical problems, and the overall thought is as follows:
a process diagnosis method is applied to a process diagnosis system, and a plurality of devices to be diagnosed are connected to the process diagnosis system; the method comprises the following steps: dividing a plurality of devices to be diagnosed into a preset number of device groups according to the project requirements of the preset number, and constructing a project diagnosis list for each device group in the preset number of device groups for an operator to check; wherein the item diagnosis list is obtained from basic diagnosis items contained in a diagnosis list of each device to be diagnosed in the device group; wherein the basic diagnostic items in the diagnostic list are obtained as follows: acquiring a real-time state parameter set of equipment to be diagnosed; judging whether the target state parameters in the real-time state parameter set are matched with target preset running conditions or not; when the target state parameter is not matched with the target preset operation condition, determining that the equipment to be diagnosed has a fault, and determining the fault type of the fault; inquiring a fault remedy list according to the fault type, and determining a target remedy; and obtaining a basic diagnosis item based on the target remedial measure, the equipment identifier corresponding to the equipment to be diagnosed, the target state parameter, the target preset operation condition and the fault type.
According to the application, the fault equipment can be rapidly positioned for the whole large-scale integrated system equipment through the project diagnosis list, and the fault type of the fault equipment can be preliminarily determined, so that a fault maintenance scheme is rapidly formulated, the downtime of the large-scale integrated system equipment is reduced, and the production efficiency is improved. According to the application, all target fault information is packaged, namely, the equipment identifier, the target state parameter, the target preset running condition, the fault type and the target remedy corresponding to the equipment to be diagnosed are packaged and are input into a diagnosis list as a basic diagnosis item, so that the positioning time of the fault equipment and the determining period of a fault maintenance scheme are shortened, the shutdown time of the large-scale comprehensive system equipment is shortened, and the production efficiency is improved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
First, the term "and/or" appearing herein is merely an association relationship describing associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The application provides a process diagnosis method as shown in fig. 1, which is applied to a process diagnosis system, wherein a plurality of devices to be diagnosed are connected to the process diagnosis system. The process diagnostic system may be a process diagnostic system of a large integrated system device and the process diagnostic system may be an industrial personal computer. For example, a process diagnostic system of a steel rolling apparatus, a plurality of apparatuses to be diagnosed refer to apparatuses constituting the steel rolling apparatus. The process diagnostic system is also connected with a diagnostic client; the method comprises (step S11):
step S11, dividing a plurality of devices to be diagnosed into a preset number of device groups according to the preset number of project requirements, and constructing a project diagnosis list for each device group in the preset number of device groups for an operator to check; wherein the item diagnosis list is obtained from basic diagnosis items contained in a diagnosis list of each device to be diagnosed in the device group.
The project requirements may be obtained by dividing the steps of the process flow of the rolling mill on the rolling line. According to the project requirements of the preset number, the equipment to be diagnosed is divided into equipment groups of the preset number, namely the equipment to be diagnosed is divided according to the steps of the technological process of the steel rolling equipment on the steel rolling production line, and the equipment to be diagnosed at the same stage in the technological process is divided into equipment groups. For example, in the production of workshops, the devices in the blank preparation and feeding phases are divided into a group of devices; after the loading is completed, a heating stage is entered, and the equipment involved in the heating stage is divided into a group of equipment.
Each equipment group comprises at least one equipment to be diagnosed, each equipment to be diagnosed has a corresponding preset operation condition, and only when the equipment to be diagnosed is matched with the corresponding preset operation condition, the equipment to be diagnosed has no fault, and otherwise, the equipment to be diagnosed has the fault. Each device to be diagnosed is configured with a diagnosis list, and when a fault exists in the device to be diagnosed, the corresponding fault is input into the diagnosis list in the form of a basic diagnosis item (the basic diagnosis item is described later, and will not be described again). The process diagnosis system manages all the equipment to be diagnosed, integrates diagnosis lists corresponding to all the equipment to be diagnosed in one equipment group by taking the equipment group as a unit to obtain a project diagnosis list, and can rapidly locate fault equipment for the whole large-scale integrated system equipment through the project diagnosis list, and can also preliminarily determine the fault type of the fault equipment, so as to rapidly formulate a fault maintenance scheme, reduce the downtime of the large-scale integrated system equipment and improve the production efficiency.
The basic diagnostic items in the diagnostic list are obtained as follows (step S21-step S25):
step S21, a real-time state parameter set of the equipment to be diagnosed is obtained.
A state detection device is arranged on the device to be diagnosed, and the state detection device can be a temperature sensor, a pressure sensor and the like. The process diagnosis system obtains the real-time state parameter sets of the equipment to be diagnosed through the state detection equipment arranged on the equipment to be diagnosed. The real-time state parameter set refers to a state parameter set formed by all state parameters capable of reflecting the running state of the equipment in the equipment to be diagnosed. The real-time state parameter set in the application can be obtained by detecting each state of the equipment to be diagnosed according to a preset interval time (for example, 10 s), or can be obtained by continuously detecting each state of the equipment to be diagnosed.
Step S22, judging whether the target state parameters in the real-time state parameter set are matched with the corresponding target preset operation conditions in the preset operation condition set.
Each device to be diagnosed is configured with a corresponding preset operation condition, and when the operation state of the device to be diagnosed is matched with the preset operation condition, the device to be diagnosed is in a normal operation state, and no fault exists. Since the operation state of each device to be diagnosed includes a plurality of parameters, the operation state is recorded as a real-time state parameter set in step S21, and for the purpose of correspondence, the preset operation conditions are also recorded as a preset operation condition set in step S22, where the preset operation conditions in the preset operation condition set are in one-to-one correspondence with the real-time state parameters in the real-time state parameter set.
The set of preset operating conditions includes a set of preset process operating conditions and a set of preset machine operating conditions. The preset process operation condition set is composed of a plurality of process operation conditions, and the process operation conditions refer to operation environment conditions provided by other equipment to be diagnosed, which are related to the equipment to be diagnosed at present, for the equipment to be diagnosed at present. The preset set of machine operating conditions refers to the operating environmental conditions of the device itself currently to be diagnosed. For example, taking a mechanical arm on a steel rolling production line as an example, when the mechanical arm can complete the corresponding degree of freedom, that is, when the mechanical arm meets a preset mechanical operation condition set, the mechanical arm can normally operate on the steel rolling production line. And recording the mechanical equipment for transmitting the material to the mechanical arm as the last mechanical equipment, wherein the mechanical arm can accurately receive the transmission material when the last mechanical equipment can accurately place the transmission material in the controllable range of the mechanical arm, namely when the last mechanical equipment meets the process operation condition set of the mechanical arm. That is, the equipment to be diagnosed can only work normally on the production line when it meets both the set of preset process operating conditions and the set of preset machine operating conditions.
Returning to step S22, each state parameter in the real-time state parameter set is compared with a corresponding preset operation condition in the preset operation condition set, so as to obtain a comparison result.
Step S23, when the target state parameter is not matched with the target preset operation condition, determining that the equipment to be diagnosed has a fault, and determining the fault type of the fault.
And when the comparison result is that the corresponding state parameter is not matched with the preset running condition, the current equipment to be diagnosed is considered to have faults. Since it is possible to specify which parameter (or parameters) is/are not matched, the fault type of the fault can be determined initially from the state parameters.
Step S24, inquiring a fault remedy list according to the fault type, and determining target remedy.
The fault remedy list may be preset, and the fault remedy list may include a device identifier of the device to be diagnosed, a fault type, and a target remedy. The targeted remedial action may be determined based on the device identifier of the device to be diagnosed and the type of fault. The target remedial measure can also comprise responsible departments and responsible persons of the equipment to be diagnosed, so that the relevant responsible departments and responsible persons can be rapidly notified to process relevant faults. The target remedial measure can also comprise an associated fault caused by the current fault, and when the current fault is repaired and the associated fault can be automatically eliminated, only the current fault is processed, and repeated processing of the associated fault is not required to be performed by wasting manpower and material resources.
Step S25, obtaining a basic diagnosis item based on the target remedial measure, the equipment identifier corresponding to the equipment to be diagnosed, the target state parameter, the target preset operation condition and the fault type.
And packaging all target fault information, namely packaging the equipment identifier, the target state parameter, the target preset operating condition, the fault type and the target remedial measure corresponding to the equipment to be diagnosed, and inputting the packaged equipment identifier, the target state parameter, the target preset operating condition, the fault type and the target remedial measure into a diagnosis list as a basic diagnosis item, so that the positioning time of the fault equipment and the determining period of a fault overhaul scheme are shortened, the shutdown time of the large-scale comprehensive system equipment is shortened, and the production efficiency is improved.
Further, in order to be able to monitor the overall operation status of the device to be diagnosed, the method further comprises, for each device to be diagnosed:
and S31, monitoring a diagnosis list, and updating the changed content in the diagnosis list to a diagnosis log of the equipment to be diagnosed when the content of the diagnosis list is changed.
When the diagnosis list of the equipment to be diagnosed is updated, updating updated contents into a diagnosis log so as to carry out subsequent analysis and maintenance on the equipment to be diagnosed. For example, when a basic diagnosis item is newly added in the diagnosis list, the basic diagnosis item is updated into a diagnosis log; when one basic diagnosis item is reduced in the diagnosis list, the basic diagnosis item is updated into a diagnosis log.
Further, when the number of basic diagnosis items contained in the diagnosis list is a plurality of, the plurality of basic diagnosis items are ordered according to a preset ordering rule; wherein, the preset ordering rule (including rule one, rule two and rule three) refers to:
rule one: when the fault type corresponding to the plurality of basic diagnosis items is a warning fault, the plurality of basic diagnosis items are ranked according to the priority of the plurality of basic diagnosis items in the warning fault.
Rule II: when the fault type corresponding to the plurality of basic diagnosis items is an error fault, sorting according to the priority of the plurality of basic diagnosis items in the error fault.
That is, the essence of rule one and rule two is: and when the fault types corresponding to the plurality of basic diagnosis items are of the same type of fault type, sequencing the plurality of basic diagnosis items according to the priority in the corresponding fault types.
Rule III: when the fault types corresponding to the plurality of basic diagnosis items comprise warning faults and error faults, arranging the basic diagnosis items belonging to the error faults before the basic diagnosis items belonging to the warning faults; the basic diagnosis items belonging to the error faults are ordered according to the priority of the error faults; the basic diagnosis items belonging to the warning fault are ordered according to the priority of the warning fault.
The essence of rule three is: when the fault types corresponding to the plurality of basic diagnosis items are inconsistent, namely the fault types comprise both warning faults and error faults, the priority of the error faults is higher than that of the warning faults, and the basic diagnosis items corresponding to the error faults are placed before all the warning faults; on the basis, when the number of the basic diagnosis items corresponding to the error faults is a plurality of, the basic diagnosis items corresponding to the warning faults are ranked according to a second rule, and when the number of the basic diagnosis items corresponding to the warning faults is a plurality of, the basic diagnosis items corresponding to the warning faults are ranked according to a first rule.
According to the application, the faults are sequenced in the diagnosis list according to the priority of the fault type, so that an operator can conduct troubleshooting and processing on the faults according to the priority of the fault type, the positioning time of the fault equipment and the determining period of a fault maintenance scheme are shortened, the shutdown time of the large-scale comprehensive system equipment is shortened, and the production efficiency is improved.
Further, the item diagnosis list may also be ordered according to a preset ordering rule in the diagnosis list. The item diagnostic list differs from the diagnostic list ordering in that: because the project diagnosis list relates to a plurality of different devices to be diagnosed, the importance degree of each device to be diagnosed on the steel rolling production line is comprehensively considered to be sequenced, the priority of faults of each device to be diagnosed is comprehensively considered, and then the sequencing is performed in the project diagnosis list.
The following is done for faults occurring in the diagnosis list:
performing fault repair on the first basic diagnosis item in the diagnosis list;
in the process of repairing the first basic diagnosis item, detecting whether a second basic diagnosis item is newly added in the diagnosis list, wherein the priority of the fault type corresponding to the second basic diagnosis item is higher than that of the fault type corresponding to the first basic diagnosis item;
if the basic diagnostic item is newly added, the repair operation of the first basic diagnostic item is interrupted, and the second basic diagnostic item is subjected to fault repair.
That is, in the face of a fault occurring in the diagnosis list, the first basic diagnosis item in the diagnosis list, or the basic diagnosis item with the highest priority in the diagnosis list, is preferentially processed. When a more serious fault occurs while the first basic diagnosis item is being processed, then the basic diagnosis item with the highest priority in the diagnosis list is replaced by the basic diagnosis item corresponding to the current more serious fault, so that the fault repair of the basic diagnosis item which is being processed is required to be interrupted, the current more serious fault is processed, and the fault repair of the basic diagnosis item which is not completed before the processing is continued after the completion of the more serious fault repair.
When the faults corresponding to the basic diagnosis items in the diagnosis list are eliminated, the corresponding basic diagnosis items in the diagnosis list are deleted.
The application can always process the most serious faults preferentially by relying on the diagnosis list and the strict fault repair priority, thereby avoiding irreversible damage to the large-scale comprehensive system equipment, reducing the repair cost, prolonging the service life of the equipment, shortening the positioning time of the fault equipment and the determining period of the fault maintenance scheme, shortening the shutdown time of the large-scale comprehensive system equipment and improving the production efficiency.
After step S11 is performed, when the operator needs to view the item diagnosis list, steps S12 to 14 are performed.
Step S12, an input operation by the user is acquired, and an item diagnosis list is determined based on the input operation.
The input operation is acquired to generate a display instruction, and the process diagnostic system receives the display instruction and extracts information from the display instruction to determine a project diagnostic list, and the number of the project diagnostic list may be plural.
Step S13, converting the item diagnosis list into text information.
The project diagnostic list is for a process diagnostic system, so that the project diagnostic list is presented directly to the operator and does not enable the operator to intuitively obtain the desired information, and therefore, the project diagnostic list needs to be converted into text information for the operator to view.
And step S14, the text information is sent to a diagnosis client for display for the operator to check.
Because process diagnostic systems do not have a display, it is necessary to send text information to an external diagnostic client, where the text information is displayed for viewing by an operator.
Further, before the plurality of devices to be diagnosed are divided into the preset number of device groups according to the preset number of item requirements, that is, before step S11, the method further includes:
and executing self-checking operation on the process diagnosis system, and executing the step of dividing the plurality of devices to be diagnosed into a preset number of device groups according to the preset number of project requirements when the process diagnosis system passes through the self-checking operation.
The process diagnostic system is used for detecting whether the large-scale integrated system equipment has faults, but before the process diagnostic system is required to be guaranteed to be in normal operation, so that the process diagnostic system executes self-checking operation before executing the step S11, and when the process diagnostic system passes the self-checking operation, the step S11 is executed again to avoid that the process diagnostic system provides wrong diagnostic information, and further avoid that the large-scale integrated system equipment is unnecessarily damaged due to wrong remedial measures provided by the process diagnostic system.
Based on the same inventive concept, the present application provides a process diagnostic device as shown in fig. 2, the device comprising:
a project diagnosis list construction module (not shown in fig. 2) for dividing the plurality of devices to be diagnosed into a preset number of device groups according to a preset number of project requirements, and constructing a project diagnosis list for each device group in the preset number of device groups for an operator to view; wherein the item diagnosis list is obtained from basic diagnosis items contained in a diagnosis list of each device to be diagnosed in the device group;
an acquisition module 21, configured to acquire a real-time state parameter set of a device to be diagnosed;
a judging module 22, configured to judge whether the target state parameter in the real-time state parameter set matches the target preset operation condition;
a fault type determining module 23, configured to determine that a fault exists in the device to be diagnosed and determine a fault type of the fault when the target state parameter does not match the target preset operation condition;
a target remedial measure determination module 24 for querying the fault remedial measure list according to the fault type to determine a target remedial measure;
an input module 25 for obtaining a basic diagnosis item based on the target remedial measure, the device identifier corresponding to the device to be diagnosed, the target state parameter, the target preset operating condition, and the fault type.
More preferably, the process diagnostic system is further coupled to a diagnostic client; the apparatus further comprises:
the determining module is used for acquiring input operation of a user and determining an item diagnosis list based on the input operation;
the conversion module is used for converting the project diagnosis list into text information;
and the sending module is used for sending the text information to the diagnosis client for display so as to be checked by an operator.
More preferably, the apparatus further comprises:
and the monitoring module is used for monitoring the diagnosis list, and updating the changed content in the diagnosis list to a diagnosis log of the equipment to be diagnosed when the content of the diagnosis list is changed.
More preferably, when the number of basic diagnosis items included in the diagnosis list is a plurality, the plurality of basic diagnosis items are ordered according to a preset ordering rule; wherein, the preset ordering rule refers to:
when the fault types corresponding to the plurality of basic diagnosis items are warning faults, sequencing according to the priority of the plurality of basic diagnosis items in the warning faults; and
when the fault types corresponding to the plurality of basic diagnosis items are error faults, sequencing according to the priority of the plurality of basic diagnosis items in the error faults; and
when the fault types corresponding to the plurality of basic diagnosis items comprise warning faults and error faults, arranging the basic diagnosis items belonging to the error faults before the basic diagnosis items belonging to the warning faults; the basic diagnosis items belonging to the error faults are ordered according to the priority of the error faults; the basic diagnosis items belonging to the warning fault are ordered according to the priority of the warning fault.
More preferably, the apparatus further comprises:
the repair module is used for repairing faults of the first basic diagnosis items in the diagnosis list;
the interruption module is used for detecting whether a second basic diagnosis item is newly added in the diagnosis list in the process of repairing the first basic diagnosis item, wherein the priority of the fault type corresponding to the second basic diagnosis item is higher than that of the fault type corresponding to the first basic diagnosis item; if the basic diagnostic item is newly added, the repair operation of the first basic diagnostic item is interrupted, and the second basic diagnostic item is subjected to fault repair.
More preferably, the apparatus further comprises:
the self-checking module is used for executing self-checking operation on the process diagnosis system, and when the process diagnosis system passes through the self-checking operation, the step of dividing the plurality of devices to be diagnosed into the device groups with the preset number according to the project requirements with the preset number is executed.
Based on the same inventive concept, the present application provides an electronic device as shown in fig. 3, comprising:
a processor 31;
a memory 32 for storing instructions executable by the processor 31;
wherein the processor 31 is configured to execute to implement a process diagnostic method.
Based on the same inventive concept, the present application provides a non-transitory computer readable storage medium, which when executed by the processor 31 of the electronic device, enables the electronic device to perform implementing a process diagnostic method.
Since the electronic device described in this embodiment is an electronic device used to implement the method for processing information in the embodiment of the present application, those skilled in the art will be able to understand the specific implementation of the electronic device in this embodiment and various modifications thereof based on the method for processing information described in the embodiment of the present application, so how the method in the embodiment of the present application is implemented in this electronic device will not be described in detail herein. Any electronic device used by those skilled in the art to implement the information processing method in the embodiment of the present application is within the scope of the present application.
It will be appreciated by those skilled in the art that 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, CD-ROM, 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to 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.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A process diagnostic method, characterized in that the method is applied to a process diagnostic system of a large-scale integrated system device, to which a plurality of devices to be diagnosed of the large-scale integrated system device are connected; the method comprises the following steps:
dividing the plurality of equipment to be diagnosed into a preset number of equipment groups according to the project demand of the preset number, and constructing a project diagnosis list for each equipment group in the preset number of equipment groups for an operator to check; wherein the item diagnosis list is obtained from basic diagnosis items contained in a diagnosis list of each device to be diagnosed in the device group;
the dividing the plurality of devices to be diagnosed into a preset number of device groups according to the preset number of project requirements includes:
dividing equipment to be diagnosed into equipment groups according to the preset number of steps of the process flow of the steel rolling equipment on the steel rolling production line, wherein the equipment to be diagnosed is positioned at the same stage in the process flow;
wherein the basic diagnostic items in the diagnostic list are obtained as follows:
acquiring a real-time state parameter set of the equipment to be diagnosed;
judging whether the target state parameters in the real-time state parameter set are matched with target preset running conditions or not; the target preset operating conditions comprise preset process operating conditions and preset mechanical operating conditions; the preset process operation condition refers to an operation environment condition provided by other equipment to be diagnosed, which is related to the current equipment to be diagnosed, for the current equipment to be diagnosed; the preset mechanical operation condition refers to the operation environment condition of the current equipment to be diagnosed;
when the target state parameter is not matched with the target preset operation condition, determining that the equipment to be diagnosed has a fault, and determining the fault type of the fault;
inquiring a fault remedy list according to the fault type, and determining a target remedy;
and obtaining the basic diagnosis item based on the target remedial measure, the equipment identifier corresponding to the equipment to be diagnosed, the target state parameter, the target preset operation condition and the fault type.
2. The method of claim 1, wherein the process diagnostic system is further coupled to a diagnostic client; after constructing the project diagnosis list for each of the preset number of device groups, the method further comprises:
acquiring input operation of a user, and determining the item diagnosis list based on the input operation;
converting the item diagnosis list into text information;
and sending the text information to the diagnosis client for display for the operator to check.
3. The method of claim 1, wherein after constructing a project diagnostic list for each of the preset number of device groups, the method further comprises:
and monitoring the diagnosis list, and updating the changed content in the diagnosis list to a diagnosis log of the equipment to be diagnosed when the content of the diagnosis list is changed.
4. The method of claim 1, wherein when the number of basic diagnosis items included in the diagnosis list is a plurality, the plurality of basic diagnosis items are ordered according to a preset ordering rule; wherein, the preset ordering rule refers to:
when the fault types corresponding to the plurality of basic diagnosis items are warning faults, sequencing according to the priority of the plurality of basic diagnosis items in the warning faults; and
and when the fault types corresponding to the plurality of basic diagnosis items are error faults, sequencing according to the priority of the plurality of basic diagnosis items in the error faults.
5. The method of claim 4, wherein the preset ordering rule refers to:
when the fault types corresponding to the plurality of basic diagnosis items comprise the warning fault and the error fault, arranging the basic diagnosis items belonging to the error fault before the basic diagnosis items belonging to the warning fault; sorting the basic diagnosis items belonging to the error faults according to the priority of the error faults; the basic diagnostic items belonging to the warning fault are ordered according to the priority of the warning fault.
6. The method of claim 5, wherein after constructing a project diagnostic list for each of the preset number of device groups, the method further comprises:
performing fault repair on a first basic diagnostic item in the diagnostic list;
in the process of repairing the first basic diagnosis item, detecting whether a second basic diagnosis item is newly added in the diagnosis list, wherein the priority of the fault type corresponding to the second basic diagnosis item is higher than that of the fault type corresponding to the first basic diagnosis item;
if the first basic diagnosis item is newly added, the repair operation of the first basic diagnosis item is interrupted, and the second basic diagnosis item is subjected to fault repair.
7. The method of claim 1, wherein prior to dividing the plurality of devices to be diagnosed into a predetermined number of device groups according to a predetermined number of project requirements, the method further comprises:
performing a self-test operation on the process diagnostic system;
and when the process diagnosis system passes the self-checking operation, executing the step of dividing the plurality of devices to be diagnosed into a preset number of device groups according to the preset number of project requirements.
8. A process diagnostic apparatus, characterized in that the apparatus is applied to a process diagnostic system of a large-scale integrated system device to which a plurality of devices to be diagnosed of the large-scale integrated system device are connected; the device comprises:
the project diagnosis list construction module is used for dividing the plurality of equipment to be diagnosed into preset number of equipment groups according to the preset number of project requirements, and constructing a project diagnosis list for each equipment group in the preset number of equipment groups for an operator to check; wherein the item diagnosis list is obtained from basic diagnosis items contained in a diagnosis list of each device to be diagnosed in the device group; the project diagnosis list construction module is specifically used for dividing equipment to be diagnosed into equipment groups according to the preset number of steps of the technological process of the steel rolling equipment on the steel rolling production line and dividing the equipment to be diagnosed at the same stage in the technological process;
the acquisition module is used for acquiring the real-time state parameter set of the equipment to be diagnosed;
the judging module is used for judging whether the target state parameters in the real-time state parameter set are matched with target preset running conditions or not; the target preset operating conditions comprise preset process operating conditions and preset mechanical operating conditions; the preset process operation condition refers to an operation environment condition provided by other equipment to be diagnosed, which is related to the current equipment to be diagnosed, for the current equipment to be diagnosed; the preset mechanical operation condition refers to the operation environment condition of the current equipment to be diagnosed;
the fault type determining module is used for determining that the equipment to be diagnosed has a fault when the target state parameter is not matched with the target preset operation condition, and determining the fault type of the fault;
the target remedial measure determining module is used for inquiring a fault remedial measure list according to the fault type and determining target remedial measures;
and the input module is used for obtaining the basic diagnosis item based on the target remedial measure, the equipment identifier corresponding to the equipment to be diagnosed, the target state parameter, the target preset operation condition and the fault type.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute to implement a process diagnostic method as claimed in any one of claims 1 to 7.
10. A non-transitory computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform a process diagnostic method embodying any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011220671.0A CN112348211B (en) | 2020-11-05 | 2020-11-05 | Process diagnosis method, device, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011220671.0A CN112348211B (en) | 2020-11-05 | 2020-11-05 | Process diagnosis method, device, equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112348211A CN112348211A (en) | 2021-02-09 |
| CN112348211B true CN112348211B (en) | 2023-09-26 |
Family
ID=74428759
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011220671.0A Active CN112348211B (en) | 2020-11-05 | 2020-11-05 | Process diagnosis method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112348211B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113723627A (en) * | 2021-07-29 | 2021-11-30 | 湖南五凌电力科技有限公司 | Method, device, equipment and storage medium for determining equipment maintenance strategy |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1811721A (en) * | 2005-01-26 | 2006-08-02 | 奥西-技术有限公司 | Automated performance analysis and failure remediation |
| JP2013218550A (en) * | 2012-04-10 | 2013-10-24 | Toyota Home Kk | Building facility management system |
| CN103529822A (en) * | 2013-10-15 | 2014-01-22 | 北京经纬恒润科技有限公司 | Method and device for detecting vehicle failure |
| CN106301522A (en) * | 2016-08-20 | 2017-01-04 | 航天恒星科技有限公司 | The Visual method of fault diagnosis of Remote Sensing Ground Station data receiver task and system |
| CN107015111A (en) * | 2017-04-06 | 2017-08-04 | 国网浙江省电力公司嘉兴供电公司 | A kind of electric network fault intelligent warning system and method |
| CN109726071A (en) * | 2018-07-18 | 2019-05-07 | 平安科技（深圳）有限公司 | System failure processing method, device, equipment and storage medium |
| KR20190126282A (en) * | 2017-03-17 | 2019-11-11 | 가부시키가이샤 에바라 세이사꾸쇼 | Information processing apparatus, information processing system, information processing method, program, substrate processing apparatus, reference data determination apparatus and reference data determination method |
| CN110888763A (en) * | 2018-09-11 | 2020-03-17 | 北京奇虎科技有限公司 | Disk fault diagnosis method and device, terminal equipment and computer storage medium |
| CN111722953A (en) * | 2020-06-17 | 2020-09-29 | 成都美迅检测设备有限公司 | Fault diagnosis method, fault diagnosis device, electronic equipment and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7831863B2 (en) * | 2007-01-11 | 2010-11-09 | International Business Machines Corporation | Method for enhancing the diagnostic accuracy of a VLSI chip |
-
2020
- 2020-11-05 CN CN202011220671.0A patent/CN112348211B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1811721A (en) * | 2005-01-26 | 2006-08-02 | 奥西-技术有限公司 | Automated performance analysis and failure remediation |
| JP2013218550A (en) * | 2012-04-10 | 2013-10-24 | Toyota Home Kk | Building facility management system |
| CN103529822A (en) * | 2013-10-15 | 2014-01-22 | 北京经纬恒润科技有限公司 | Method and device for detecting vehicle failure |
| CN106301522A (en) * | 2016-08-20 | 2017-01-04 | 航天恒星科技有限公司 | The Visual method of fault diagnosis of Remote Sensing Ground Station data receiver task and system |
| KR20190126282A (en) * | 2017-03-17 | 2019-11-11 | 가부시키가이샤 에바라 세이사꾸쇼 | Information processing apparatus, information processing system, information processing method, program, substrate processing apparatus, reference data determination apparatus and reference data determination method |
| CN107015111A (en) * | 2017-04-06 | 2017-08-04 | 国网浙江省电力公司嘉兴供电公司 | A kind of electric network fault intelligent warning system and method |
| CN109726071A (en) * | 2018-07-18 | 2019-05-07 | 平安科技（深圳）有限公司 | System failure processing method, device, equipment and storage medium |
| CN110888763A (en) * | 2018-09-11 | 2020-03-17 | 北京奇虎科技有限公司 | Disk fault diagnosis method and device, terminal equipment and computer storage medium |
| CN111722953A (en) * | 2020-06-17 | 2020-09-29 | 成都美迅检测设备有限公司 | Fault diagnosis method, fault diagnosis device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 压力机故障实时自诊断方法与系统;张传锦;高建波;王岩;袁全;范宏伟;;锻压技术(第06期) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112348211A (en) | 2021-02-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108537301B (en) | Full-process accurate tracing method for aluminum alloy die-casting product | |
| CN106681930B (en) | Distributed automatic detection method and system for abnormal operation of application | |
| TWI721358B (en) | Equipment maintenance device, method, and storage medium | |
| CN107850891B (en) | Management system and non-volatile computer-readable recording medium | |
| US10747212B2 (en) | Management system and non-transitory computer-readable recording medium | |
| CN110310134B (en) | Customized furniture management tracing method based on coding information association | |
| US20140097952A1 (en) | Systems and methods for comprehensive alarm management | |
| CN106813926A (en) | For the method for diagnosing faults of vehicle | |
| CN112924205A (en) | Method and device for diagnosing faults of working machine, working machine and electronic equipment | |
| CN112348211B (en) | Process diagnosis method, device, equipment and medium | |
| JPH11296208A (en) | Production management information output device | |
| US11120037B2 (en) | Test data integration system and method thereof | |
| CN106486391B (en) | Semiconductor manufacturing control method and system based on MES system | |
| JP2013191041A (en) | Inspection data management system, inspection data monitoring device | |
| KR101166101B1 (en) | statistical quality test and management system | |
| CN111324482A (en) | Computer application program running data fault processing system | |
| JP2014063337A (en) | Anomaly detection system and recording medium | |
| CN109976269B (en) | Method for monitoring manufacturing execution process information of rolling and packing workshop | |
| CN104105395A (en) | Monitoring device and monitoring system for reflow soldering equipment | |
| CN115220405A (en) | Equipment safety point inspection system and equipment safety point inspection method | |
| JP2009080649A (en) | Production quality system | |
| CN114046866A (en) | Method and device for detecting weighing abnormity in sorting process and electronic equipment | |
| CN210533424U (en) | On-line detection system for air conditioner | |
| CN114356460A (en) | Medical equipment health real-time acquisition monitoring method and system | |
| CN115169766A (en) | Maintenance method and device for wire cutting equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |