CN112631228A - Data processing method and system - Google Patents

Data processing method and system Download PDF

Info

Publication number
CN112631228A
CN112631228A CN202011583682.5A CN202011583682A CN112631228A CN 112631228 A CN112631228 A CN 112631228A CN 202011583682 A CN202011583682 A CN 202011583682A CN 112631228 A CN112631228 A CN 112631228A
Authority
CN
China
Prior art keywords
diagnosis
diagnostic
analysis result
industrial control
file
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.)
Pending
Application number
CN202011583682.5A
Other languages
Chinese (zh)
Inventor
裘坤
朱峰
周康韵
徐正丰
姚罕琦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Supcon Technology Co Ltd
Original Assignee
Zhejiang Supcon Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Supcon Technology Co Ltd filed Critical Zhejiang Supcon Technology Co Ltd
Priority to CN202011583682.5A priority Critical patent/CN112631228A/en
Publication of CN112631228A publication Critical patent/CN112631228A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4184Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/31From computer integrated manufacturing till monitoring
    • G05B2219/31088Network communication between supervisor and cell, machine group
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The invention provides a data processing method and a system, which comprises the steps of obtaining a diagnosis file of each industrial control system; converting each diagnostic file into a target diagnostic file based on a preset diagnostic protocol; processing each diagnosis information to obtain a diagnosis analysis result of each industrial control system; and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying. In the scheme, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.

Description

Data processing method and system
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and system.
Background
With the rapid development of industrial manufacturing industries, industries such as electric power, water and sewage treatment, petroleum and natural gas, chemical industry, transportation, pharmacy, pulp and paper, food and beverage, and discrete manufacturing (such as automobiles, aerospace, and durable goods) are controlled by industrial control systems. The same factory may require multiple industrial control systems to cooperate together to complete an industrial manufacturing.
To avoid industrial manufacturing being affected by a malfunction of an industrial control system. Diagnostics are needed for the status of industrial control systems. At present, a self fault diagnosis unit of an industrial control system is often used for diagnosing the industrial control system in real time to obtain a diagnosis file, and the diagnosis file is processed to determine whether a fault exists in the fault diagnosis unit. Because the types of the industrial control systems are different and the processing modes of the various industrial control systems for the diagnostic files are also different, the various industrial control systems cannot be subjected to unified fault diagnosis processing by the above modes.
Disclosure of Invention
In view of this, embodiments of the present invention provide a data processing method and system to achieve the purpose of performing unified fault diagnosis processing on various control systems.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
the first aspect of the embodiments of the present invention discloses a data processing method, where the data diagnosis method includes:
acquiring a diagnostic file of each industrial control system;
converting each diagnostic file into a target diagnostic file based on a preset diagnostic protocol, wherein the target diagnostic file comprises diagnostic information;
processing each diagnosis information to obtain a diagnosis analysis result of each industrial control system;
and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying.
Optionally, the converting each of the diagnostic files into a target diagnostic file based on a preset diagnostic protocol includes:
extracting the diagnosis data in the diagnosis file according to a preset diagnosis protocol;
and converting the diagnosis data into a target diagnosis file corresponding to the industrial control system based on a preset diagnosis file format.
Optionally, the processing each piece of diagnostic information to obtain a diagnostic analysis result of each industrial control system includes:
and comparing a diagnosis value corresponding to a diagnosis item in the diagnosis information with a preset diagnosis limit range corresponding to the diagnosis item according to each diagnosis analysis result to obtain a diagnosis analysis result, wherein the number of the diagnosis items is multiple.
Optionally, the determining, based on the diagnosis analysis result, whether the industrial control system corresponding to the diagnosis analysis result is faulty includes:
for each diagnosis and analysis result, when a diagnosis value corresponding to the diagnosis item is not in a preset diagnosis limit range corresponding to the diagnosis item in the diagnosis and analysis result, determining the fault of the industrial control system;
and when the diagnosis values corresponding to all the diagnosis items in the diagnosis and analysis result are in the preset diagnosis limit value range corresponding to the diagnosis items, determining that the industrial control system has no fault.
Optionally, the method further includes:
recording the diagnostic item when it is determined that the diagnostic value corresponding to the diagnostic item is not within a preset diagnostic limit range corresponding to the diagnostic item.
Optionally, the method further includes:
determining a diagnosis item with a diagnosis value not within a preset diagnosis limit range based on the diagnosis analysis result for each diagnosis analysis result;
acquiring the grade corresponding to the diagnosis item in the diagnosis information;
and when the level corresponding to the diagnosis item is greater than the preset alarm level, outputting alarm information.
A second aspect of the embodiments of the present invention discloses a data processing system, including:
the acquisition module is used for acquiring a diagnostic file of each industrial control system;
the conversion module is used for converting each diagnosis file into a target diagnosis file based on a preset diagnosis protocol, and the target diagnosis file comprises diagnosis information;
the diagnosis service module is used for processing each diagnosis information to obtain a diagnosis analysis result of each industrial control system; and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying through a display module.
Optionally, the conversion module is specifically configured to: extracting the diagnosis data in the diagnosis file according to a preset diagnosis protocol; and converting the diagnosis data into a target diagnosis file corresponding to the industrial control system based on a preset diagnosis file format.
Optionally, the diagnostic service module, which processes each piece of diagnostic information to obtain a diagnostic analysis result of each industrial control system, is specifically configured to: and comparing a diagnosis value corresponding to a diagnosis item in the diagnosis information with a preset diagnosis limit range corresponding to the diagnosis item according to each diagnosis analysis result to obtain a diagnosis analysis result, wherein the number of the diagnosis items is multiple.
Optionally, the method further includes:
the alarm module is used for determining a diagnosis item of which the diagnosis value is not in a preset diagnosis limit value range according to each diagnosis analysis result and based on the diagnosis analysis result; acquiring the grade corresponding to the diagnosis item in the diagnosis information; and when the level corresponding to the diagnosis item is greater than the preset alarm level, outputting alarm information.
Based on the above data processing method and system provided by the embodiments of the present invention, the method includes: acquiring a diagnostic file of each industrial control system; converting each diagnostic file into a target diagnostic file based on a preset diagnostic protocol, wherein the target diagnostic file comprises diagnostic information; processing each diagnosis information to obtain a diagnosis analysis result of each industrial control system; and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying. In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flow chart of a data processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating another data processing method according to an embodiment of the present invention;
FIG. 3 is a block diagram of a data processing system according to an embodiment of the present invention;
FIG. 4 is a block diagram of another data processing system according to an embodiment of the present invention;
FIG. 5 is a block diagram of another data processing system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Referring to fig. 1, a schematic flow chart of a data processing method according to an embodiment of the present invention is shown; the data diagnosis method is applied to a data processing system and comprises the following steps:
step S101: a diagnostic file is obtained for each industrial control system.
Optionally, the data processing system shown in the present invention is connected to a plurality of industrial control systems, so as to monitor data changes of diagnostic items such as temperature, CPU occupancy, cell voltage, and charging current of the industrial control system in real time by using a diagnostic data packet of the industrial control system itself, and generate a diagnostic file.
In the process of implementing step S101 specifically, a diagnostic file detected by the industrial control system within a preset time period is acquired.
It should be noted that the preset time period is set according to actual situations, and may be set to 1 day, for example.
Step S102: and converting each diagnosis file into a target diagnosis file based on a preset diagnosis protocol.
In step S102, the target diagnosis file includes diagnosis information.
In the process of implementing step S102 specifically, for each diagnostic file, data in the diagnostic file is determined by using a preset diagnostic protocol, so as to convert the diagnostic file into a target diagnostic file, thereby determining a target diagnostic file corresponding to each diagnostic file.
It should be noted that the preset diagnostic protocol refers to a rule that a technician presets an industrial control system set inside the industrial control system and must follow to determine data of a diagnostic file of each acquired industrial control system.
Each target diagnostic file has a uniform file format, such as: xml file format or ini file format, etc.
Optionally, in addition to converting the diagnostic file into a target file with a uniform format, a struct structure or class in the compiling system may be used to identify the data in each diagnostic file as a target diagnostic file with a uniform format.
Step S103: and processing each piece of diagnosis information to obtain a diagnosis analysis result of each industrial control system.
In the process of implementing step S103 specifically, the diagnostic information in each target diagnostic file is processed to obtain the diagnostic analysis result of each industrial control system.
It should be noted that the diagnosis information includes names of the diagnosis items, a diagnosis value corresponding to each diagnosis item, and a level corresponding to the diagnosis item.
It should be further noted that the diagnostic information stores a corresponding relationship between the name of the diagnostic item and the diagnostic value corresponding to each diagnostic item; the diagnostic information stores the corresponding relationship between each diagnostic item and the level.
Step S104: and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying.
In the specific implementation step S104, the diagnosis and analysis result of each industrial control system is analyzed in a unified manner to determine whether the industrial control system corresponding to the diagnosis and analysis result is faulty, and the fault is displayed.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Based on the data processing method shown in the above embodiment of the present invention, in the process of executing step S102 to convert each diagnostic file into a target diagnostic file based on a preset diagnostic protocol, the method includes the following steps:
step S11: and extracting the diagnosis data in the diagnosis file according to a preset diagnosis protocol.
In the process of implementing step S11, for each diagnostic file, the diagnostic file is parsed by using a preset diagnostic protocol to extract the diagnostic data in the diagnostic file.
The diagnostic data includes diagnostic values of diagnostic items such as temperature, CPU occupancy, cell voltage, and charging current.
Step S12: and converting the diagnosis data into a target diagnosis file corresponding to the industrial control system based on a preset diagnosis file format.
In the process of implementing step S12, the diagnostic data is filled into a preset diagnostic file format, i.e., a diagnostic item structure, so as to generate a target diagnostic file with a uniform format.
It should be noted that the preset diagnostic file format is to define a diagnostic item structure according to the target diagnostic file configuration item.
Each diagnostic item has only one diagnostic value corresponding to it.
In the embodiment of the invention, the diagnostic data in the diagnostic file is extracted according to the preset diagnostic protocol, and the diagnostic data is filled into the preset diagnostic file format, so that the target diagnostic file with the uniform format is generated. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Based on the data processing method shown in the above embodiment of the present invention, in the process of executing step S103 to process each piece of diagnostic information to obtain the diagnostic analysis result of each industrial control system, the method includes the following steps:
step S21: and comparing the diagnostic value corresponding to the diagnostic item in the diagnostic information with a preset diagnostic limit range corresponding to the diagnostic item according to each diagnostic analysis result to obtain the diagnostic analysis result.
In the process of step S21, the number of diagnostic items is plural.
In the process of implementing step S21, each diagnosis item in the diagnosis information is processed simultaneously for each diagnosis analysis result; judging whether the diagnosis value corresponding to each diagnosis item is within the preset diagnosis limit value range corresponding to the diagnosis item; and packaging the comparison result of each diagnosis item to generate a diagnosis analysis result.
It should be noted that the comparison result of the diagnosis items includes: and comparing the diagnostic value corresponding to the diagnostic item, which is not within the preset diagnostic limit range corresponding to the diagnostic item, with the diagnostic value corresponding to the diagnostic item, which is within the preset diagnostic limit range corresponding to the diagnostic item.
Each diagnostic item has a preset diagnostic limit range corresponding thereto.
The preset diagnosis limit range is set by a technician according to a plurality of experiments performed on the diagnosis item corresponding to the preset diagnosis limit range, or may be set by the technician according to the actual situation of the diagnosis item corresponding to the preset diagnosis limit range, which is not limited in the embodiment of the present invention.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And comparing the diagnostic value corresponding to the diagnostic item in the diagnostic information with a preset diagnostic limit range corresponding to the diagnostic item according to each diagnostic analysis result to obtain the diagnostic analysis result. And further determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Based on the data processing method shown in the above embodiment of the present invention, in the process of executing step S104 to determine whether the industrial control system corresponding to the diagnosis and analysis result is faulty based on the diagnosis and analysis result, the method includes the following steps:
step S31: and aiming at each diagnosis and analysis result, when the diagnosis value corresponding to the diagnosis item in the diagnosis and analysis result is not in the preset diagnosis limit value range corresponding to the diagnosis item, determining the fault of the industrial control system.
In the process of implementing step S31, for each diagnostic item in the diagnostic analysis result, if the diagnostic value corresponding to the diagnostic item is not within the preset diagnostic limit range corresponding to the diagnostic item, it indicates that the diagnostic item is not abnormal, and further indicates that the industrial control system corresponding to the diagnostic analysis result has a fault.
Step S32: and when the diagnosis values corresponding to all the diagnosis items in the diagnosis and analysis result are in the preset diagnosis limit value range, determining that the industrial control system has no fault.
In the process of implementing step S32, if the diagnostic value corresponding to each diagnostic item is within the preset diagnostic limit range corresponding to the diagnostic item, it indicates that the industrial control system corresponding to the diagnostic analysis result has no fault.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And comparing the diagnostic value corresponding to the diagnostic item in the diagnostic information with a preset diagnostic limit range corresponding to the diagnostic item according to each diagnostic analysis result to obtain the diagnostic analysis result. Further utilizing the diagnosis and analysis result, if the diagnosis value corresponding to the diagnosis item is not in the preset diagnosis limit range corresponding to the diagnosis item, determining that the industrial control system corresponding to the diagnosis and analysis result has a fault; and if the diagnosis values corresponding to all the diagnosis items are within the preset diagnosis limit range corresponding to the diagnosis item, determining that the industrial control system corresponding to the diagnosis analysis result has no fault. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Optionally, based on the data processing method shown in the foregoing embodiment of the present invention, after the step S31 is executed and the diagnostic value corresponding to the diagnostic item is determined not to be within the preset diagnostic limit range corresponding to the diagnostic item, the method further includes: and recording diagnosis items.
In a specific implementation, when the diagnostic value corresponding to the diagnostic item is determined not to be in the preset diagnostic limit range corresponding to the diagnostic item, the diagnostic item is recorded when the diagnostic item is abnormal. So that the technician can check the diagnosis item with abnormality and start corresponding protective measures.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved. Further, the diagnosis items are recorded after the diagnosis values corresponding to the diagnosis items are determined not to be within the preset diagnosis limit value range corresponding to the diagnosis items. So that the technician can check the diagnosis item with abnormality and start corresponding protective measures.
Based on the data processing method shown in the above embodiment of the present invention, the embodiment of the present invention further discloses a flow diagram of another data processing method correspondingly, as shown in fig. 2, the method includes:
step S201: a diagnostic file is obtained for each industrial control system.
Step S202: and converting each diagnosis file into a target diagnosis file based on a preset diagnosis protocol.
In step S202, the target diagnosis file includes diagnosis information.
Step S203: and processing each piece of diagnosis information to obtain a diagnosis analysis result of each industrial control system.
Step S204: and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying.
It should be noted that, the specific implementation process shown in step S201 to step S204 in the embodiment of the present invention is the same as the specific implementation process shown in step S101 to step S104 in the embodiment described above, and reference may be made to each other, and no limitation is imposed on this embodiment of the present invention.
Step S205: and determining a diagnosis item with a diagnosis value not within a preset diagnosis limit range based on the diagnosis analysis result for each diagnosis analysis result.
In the process of specifically implementing step S205, for each diagnosis analysis result, the name of the diagnosis item corresponding to the diagnosis item whose diagnosis value is not within the preset diagnosis limit range in the diagnosis analysis result is searched.
Step S206: a level in the diagnostic information corresponding to the diagnostic item is obtained.
In the process of implementing step S206 specifically, the level corresponding to the diagnostic item stored in the diagnostic information is searched for by using the diagnostic item name corresponding to the diagnostic item.
It should be noted that the levels corresponding to the diagnostic items can be divided into F level, D level, C level, a level and S level, the priority of the levels from left to right increases all the time, and the higher the level is, the greater the influence of the diagnostic items on the state of the industrial control system is.
The corresponding levels of the diagnosis items and the corresponding relations between the diagnosis items are set in advance according to the actual conditions of the diagnosis items.
Step S207: and judging whether the level corresponding to the diagnosis item is greater than a preset alarm level, if so, executing the step S208, and if not, not outputting alarm information.
In the process of implementing step S207 specifically, the level corresponding to the diagnostic item is compared with a preset alarm level, and when it is determined that the level corresponding to the diagnostic item is greater than the preset alarm level, step S208 is executed, and when the level corresponding to the diagnostic item is less than or equal to the preset alarm level, it indicates that an abnormality occurring in the diagnostic item is not enough to affect the damage of the industrial control system, so that no alarm information is output.
Step S208: and outputting alarm information.
In the process of implementing step S208 specifically, based on the name of the diagnostic item whose level corresponding to the diagnostic item is greater than the preset alarm level, alarm information corresponding to the diagnostic item is generated, so that a technician can determine the abnormal diagnostic item.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved. Further, the diagnosis items are recorded after the diagnosis values corresponding to the diagnosis items are determined not to be within the preset diagnosis limit value range corresponding to the diagnosis items. So that the technician can check the diagnosis item with abnormality and start corresponding protective measures. And further, determining a diagnosis item of which the diagnosis value is not in the preset diagnosis limit value range to determine the grade of the diagnosis item, thereby determining whether to output alarm information, and outputting the alarm information when determining that the grade corresponding to the diagnosis item is greater than the preset alarm grade.
Corresponding to the data processing method shown in the above embodiment of the present invention, the corresponding embodiment of the present invention discloses a schematic structural diagram of a data processing system, as shown in fig. 3, the system includes:
an obtaining module 301, configured to obtain a diagnostic file of each industrial control system.
A converting module 302, configured to convert each diagnostic file into a target diagnostic file based on a preset diagnostic protocol.
It should be noted that the target diagnosis file includes diagnosis information.
The diagnosis service module 303 is configured to process each piece of diagnosis information to obtain a diagnosis analysis result of each industrial control system; based on the diagnostic analysis results, it is determined whether the industrial control system corresponding to the diagnostic analysis results is faulty and displayed through the display module 304.
It should be noted that, the specific principle and the implementation process of each unit in the data processing system disclosed in the embodiment of the present application are the same as those of the data processing method shown in the implementation of the present application, and reference may be made to corresponding parts in the data processing method disclosed in the embodiment of the present application, and details are not repeated here.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Optionally, based on the data processing system shown in the foregoing embodiment of the present invention, the conversion module 302 is specifically configured to: extracting the diagnosis data in the diagnosis file according to a preset diagnosis protocol; and converting the diagnosis data into a target diagnosis file corresponding to the industrial control system based on a preset diagnosis file format.
In the embodiment of the invention, the diagnostic data in the diagnostic file is extracted according to the preset diagnostic protocol, and the diagnostic data is filled into the preset diagnostic file format, so that the target diagnostic file with the uniform format is generated. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Optionally, based on the data processing system shown in the foregoing embodiment of the present invention, the diagnosis service module 303, which processes each piece of diagnosis information to obtain a diagnosis analysis result of each industrial control system, is specifically configured to: and comparing the diagnostic value corresponding to the diagnostic item in the diagnostic information with a preset diagnostic limit range corresponding to the diagnostic item according to each diagnostic analysis result to obtain the diagnostic analysis result.
Wherein, the number of the diagnosis items is a plurality.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And comparing the diagnostic value corresponding to the diagnostic item in the diagnostic information with a preset diagnostic limit range corresponding to the diagnostic item according to each diagnostic analysis result to obtain the diagnostic analysis result. And further determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Optionally, based on the data processing system shown in the foregoing embodiment of the present invention, the diagnosis service module 303, which determines whether the industrial control system corresponding to the diagnosis analysis result is faulty based on the diagnosis analysis result, is specifically configured to: for each diagnosis and analysis result, when a diagnosis value corresponding to a diagnosis item in the diagnosis and analysis result is not in a preset diagnosis limit range corresponding to the diagnosis item, determining the fault of the industrial control system; and when the diagnosis values corresponding to all the diagnosis items in the diagnosis and analysis result are in the preset diagnosis limit value range corresponding to the diagnosis items, determining that the industrial control system has no fault.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And comparing the diagnostic value corresponding to the diagnostic item in the diagnostic information with a preset diagnostic limit range corresponding to the diagnostic item according to each diagnostic analysis result to obtain the diagnostic analysis result. Further utilizing the diagnosis and analysis result, if the diagnosis value corresponding to the diagnosis item is not in the preset diagnosis limit range corresponding to the diagnosis item, determining that the industrial control system corresponding to the diagnosis and analysis result has a fault; and if the diagnosis values corresponding to all the diagnosis items are within the preset diagnosis limit range corresponding to the diagnosis item, determining that the industrial control system corresponding to the diagnosis analysis result has no fault. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved.
Optionally, the data processing system shown based on the above-described embodiment of the present invention, with reference to fig. 3 and fig. 4, further includes a storage module 305.
And a storage module 305, configured to record the diagnosis item when it is determined that the diagnosis value corresponding to the diagnosis item is not within the preset diagnosis limit range corresponding to the diagnosis item.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved. Further, the diagnosis items are recorded after the diagnosis values corresponding to the diagnosis items are determined not to be within the preset diagnosis limit value range corresponding to the diagnosis items. So that the technician can check the diagnosis item with abnormality and start corresponding protective measures.
Optionally, the data processing system shown based on the above-described embodiment of the present invention, with reference to fig. 4 and fig. 5, further includes an alarm module 306.
The alarm module 306 is configured to determine, for each diagnosis and analysis result, a diagnosis item whose diagnosis value is not within a preset diagnosis limit range based on the diagnosis and analysis result; acquiring the grade corresponding to the diagnosis item in the diagnosis information; and when the level corresponding to the diagnosis item is greater than the preset alarm level, outputting alarm information.
In the embodiment of the invention, each diagnostic file acquired through a preset diagnostic protocol is converted into a target diagnostic file with a uniform format. And processing and analyzing each target diagnosis file to obtain a diagnosis and analysis result of each industrial control system, and determining whether the industrial control system corresponding to the diagnosis and analysis result has a fault or not by using the diagnosis and analysis result. Therefore, the purpose of carrying out unified fault diagnosis processing on various industrial control systems is achieved, and the fault diagnosis processing efficiency of the industrial control systems is improved. Further, the diagnosis items are recorded after the diagnosis values corresponding to the diagnosis items are determined not to be within the preset diagnosis limit value range corresponding to the diagnosis items. So that the technician can check the diagnosis item with abnormality and start corresponding protective measures. And further, determining a diagnosis item of which the diagnosis value is not in the preset diagnosis limit value range to determine the grade of the diagnosis item, thereby determining whether to output alarm information, and outputting the alarm information when determining that the grade corresponding to the diagnosis item is greater than the preset alarm grade.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units 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. One of ordinary skill in the art can understand and implement it without inventive effort.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A data processing method, characterized in that the data diagnosis method comprises:
acquiring a diagnostic file of each industrial control system;
converting each diagnostic file into a target diagnostic file based on a preset diagnostic protocol, wherein the target diagnostic file comprises diagnostic information;
processing each diagnosis information to obtain a diagnosis analysis result of each industrial control system;
and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying.
2. The method of claim 1, wherein converting each of the diagnostic files into a target diagnostic file based on a predetermined diagnostic protocol comprises:
extracting the diagnosis data in the diagnosis file according to a preset diagnosis protocol;
and converting the diagnosis data into a target diagnosis file corresponding to the industrial control system based on a preset diagnosis file format.
3. The method of claim 1, wherein said processing each of said diagnostic information to obtain a diagnostic analysis of each industrial control system comprises:
and comparing a diagnosis value corresponding to a diagnosis item in the diagnosis information with a preset diagnosis limit range corresponding to the diagnosis item according to each diagnosis analysis result to obtain a diagnosis analysis result, wherein the number of the diagnosis items is multiple.
4. The method of claim 3, wherein the determining whether the industrial control system corresponding to the diagnostic analysis result is malfunctioning based on the diagnostic analysis result comprises:
for each diagnosis and analysis result, when a diagnosis value corresponding to the diagnosis item is not in a preset diagnosis limit range corresponding to the diagnosis item in the diagnosis and analysis result, determining the fault of the industrial control system;
and when the diagnosis values corresponding to all the diagnosis items in the diagnosis and analysis result are in the preset diagnosis limit value range corresponding to the diagnosis items, determining that the industrial control system has no fault.
5. The method of claim 4, further comprising:
recording the diagnostic item when it is determined that the diagnostic value corresponding to the diagnostic item is not within a preset diagnostic limit range corresponding to the diagnostic item.
6. The method of claim 1, further comprising:
determining a diagnosis item with a diagnosis value not within a preset diagnosis limit range based on the diagnosis analysis result for each diagnosis analysis result;
acquiring the grade corresponding to the diagnosis item in the diagnosis information;
and when the level corresponding to the diagnosis item is greater than the preset alarm level, outputting alarm information.
7. A data processing system, characterized in that the system comprises:
the acquisition module is used for acquiring a diagnostic file of each industrial control system;
the conversion module is used for converting each diagnosis file into a target diagnosis file based on a preset diagnosis protocol, and the target diagnosis file comprises diagnosis information;
the diagnosis service module is used for processing each diagnosis information to obtain a diagnosis analysis result of each industrial control system; and determining whether the industrial control system corresponding to the diagnosis and analysis result is in fault or not based on the diagnosis and analysis result, and displaying through a display module.
8. The system of claim 6, wherein the conversion module is specifically configured to: extracting the diagnosis data in the diagnosis file according to a preset diagnosis protocol; and converting the diagnosis data into a target diagnosis file corresponding to the industrial control system based on a preset diagnosis file format.
9. The system of claim 6, wherein the diagnostic service module that processes each of the diagnostic information to obtain the diagnostic analysis results of each of the industrial control systems is specifically configured to: and comparing a diagnosis value corresponding to a diagnosis item in the diagnosis information with a preset diagnosis limit range corresponding to the diagnosis item according to each diagnosis analysis result to obtain a diagnosis analysis result, wherein the number of the diagnosis items is multiple.
10. The system of claim 6, further comprising:
the alarm module is used for determining a diagnosis item of which the diagnosis value is not in a preset diagnosis limit value range according to each diagnosis analysis result and based on the diagnosis analysis result; acquiring the grade corresponding to the diagnosis item in the diagnosis information; and when the level corresponding to the diagnosis item is greater than the preset alarm level, outputting alarm information.
CN202011583682.5A 2020-12-28 2020-12-28 Data processing method and system Pending CN112631228A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011583682.5A CN112631228A (en) 2020-12-28 2020-12-28 Data processing method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011583682.5A CN112631228A (en) 2020-12-28 2020-12-28 Data processing method and system

Publications (1)

Publication Number Publication Date
CN112631228A true CN112631228A (en) 2021-04-09

Family

ID=75325742

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011583682.5A Pending CN112631228A (en) 2020-12-28 2020-12-28 Data processing method and system

Country Status (1)

Country Link
CN (1) CN112631228A (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101110642A (en) * 2006-07-19 2008-01-23 中兴通讯股份有限公司 System fault detecting method and device
CN104965507A (en) * 2015-06-29 2015-10-07 广州汽车集团股份有限公司 Method used for generating open diagnostic data exchange database and device
CN105116246A (en) * 2015-07-27 2015-12-02 云南电力调度控制中心 Power grid operation protection real-time online analysis method
CN105606969A (en) * 2014-07-16 2016-05-25 曹新民 Power transmission transformer control system capable of graded early warning
CN109067605A (en) * 2018-10-08 2018-12-21 郑州云海信息技术有限公司 A kind of storage subsystem method for diagnosing faults, device, terminal and storage medium
CN111061584A (en) * 2019-11-21 2020-04-24 浪潮电子信息产业股份有限公司 Fault diagnosis method, device, equipment and readable 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
CN111857103A (en) * 2020-07-31 2020-10-30 深圳市元征科技股份有限公司 Vehicle diagnosis method, device, equipment and storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101110642A (en) * 2006-07-19 2008-01-23 中兴通讯股份有限公司 System fault detecting method and device
CN105606969A (en) * 2014-07-16 2016-05-25 曹新民 Power transmission transformer control system capable of graded early warning
CN104965507A (en) * 2015-06-29 2015-10-07 广州汽车集团股份有限公司 Method used for generating open diagnostic data exchange database and device
CN105116246A (en) * 2015-07-27 2015-12-02 云南电力调度控制中心 Power grid operation protection real-time online analysis method
CN109067605A (en) * 2018-10-08 2018-12-21 郑州云海信息技术有限公司 A kind of storage subsystem method for diagnosing faults, device, terminal and storage medium
CN111061584A (en) * 2019-11-21 2020-04-24 浪潮电子信息产业股份有限公司 Fault diagnosis method, device, equipment and readable 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
CN111857103A (en) * 2020-07-31 2020-10-30 深圳市元征科技股份有限公司 Vehicle diagnosis method, device, equipment and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
风力发电职业技能鉴定教材编写委员会组织编写: "《风力发电机组维修保养工 高级-》", 30 November 2016, 知识产权出版社 *

Similar Documents

Publication Publication Date Title
CN101218786B (en) Communication network trouble detecting system, communication network trouble detecting method
Qiu et al. Wind turbine SCADA alarm analysis for improving reliability
Yang et al. An approach combining data mining and control charts-based model for fault detection in wind turbines
EP2538332B1 (en) Fault cause extraction apparatus,fault cause extraction method and program recording medium
US11115295B2 (en) Methods and systems for online monitoring using a variable data
Jabłoński et al. Automatic validation of vibration signals in wind farm distributed monitoring systems
CN107797465A (en) Monitoring method and device
US20170124333A1 (en) Method and system for detecting vulnerabilities of communication protocol software
CN113359682B (en) Equipment fault prediction method, device, equipment fault prediction platform and medium
Koltsidopoulos Papatzimos et al. Offshore wind turbine fault alarm prediction
EP3674827B1 (en) Monitoring target selecting device, monitoring target selecting method and program
WO2008116966A2 (en) Method and apparatus for monitoring condition of electric machines
CN106597160B (en) Electronic equipment fault detection method and device
CN110324207B (en) Detection method and device for data acquisition terminal
US20090113243A1 (en) Method, Apparatus and Computer Program Product for Rule-Based Directed Problem Resolution for Servers with Scalable Proactive Monitoring
US20170109223A1 (en) Maintenance system and method for analyzing functional failures of a system
CN112631228A (en) Data processing method and system
CN112140108B (en) Method, device and equipment for quickly responding to abnormal state and computer readable medium
US9581995B2 (en) Systems and methods for monitoring of equipment using a configurable rule base
Costello et al. Self-tuning routine alarm analysis of vibration signals in steam turbine generators
CN110632519A (en) Fuel cell fault diagnosis method and apparatus
Awad Fault detection of fuel systems using polynomial regression profile monitoring
CN109064687A (en) A kind of self-service terminal condition monitoring system and method
CN115358336A (en) Power utilization abnormity detection method and device and electronic equipment
Rosli et al. Application of principal component analysis vs. Multiple linear regression in resolving influential factor subject to air booster compressor Motor failure

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210409