CN112732520A - Fault processing method and system for equipment operation monitoring software - Google Patents
Fault processing method and system for equipment operation monitoring software Download PDFInfo
- Publication number
- CN112732520A CN112732520A CN202011611882.7A CN202011611882A CN112732520A CN 112732520 A CN112732520 A CN 112732520A CN 202011611882 A CN202011611882 A CN 202011611882A CN 112732520 A CN112732520 A CN 112732520A
- Authority
- CN
- China
- Prior art keywords
- fault
- monitoring software
- equipment operation
- operation monitoring
- software
- 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.)
- Granted
Links
- 238000003672 processing method Methods 0.000 title abstract description 9
- 230000008439 repair process Effects 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims description 23
- 238000004904 shortening Methods 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 description 7
- 238000003745 diagnosis Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention relates to a fault processing method and a fault processing system for equipment operation monitoring software. By distinguishing the software fault types and adopting different fault processing methods such as reconfiguration, bottom bug repair, temporary emergency use and the like aiming at different fault types, the fault rapid processing of the equipment operation monitoring software is realized. The equipment operation monitoring software fault processing method and system of the invention utilize real-time classification and a mode of repair according to the degree, thereby shortening the repair time, reducing the repair cost and improving the overall efficiency of software repair.
Description
Technical Field
The invention relates to the technical field of software fault processing, in particular to a fault processing method and system for equipment operation monitoring software.
Background
In the prior art, equipment operation monitoring software is usually used for monitoring the operation state of equipment, however, when the existing equipment operation monitoring software fails, a common quick repair method is to reinstall the software by using a recovery optical disc, and the defects of long time consumption and low recovery efficiency exist.
Disclosure of Invention
The invention aims to provide a fault processing method and a fault processing system for equipment operation monitoring software, which can be used for quickly repairing equipment operation monitoring software when the equipment operation monitoring software fails.
In order to achieve the purpose, the invention provides the following scheme:
a fault handling method of equipment operation monitoring software, the method comprising:
collecting the running state parameters of equipment running monitoring software;
judging whether the equipment operation monitoring software has faults or not according to the fault phenomenon tree;
when the equipment operation monitoring software has no fault, the equipment operation monitoring software does not need to be processed;
when equipment operation monitoring software has a fault, further judging the fault type to obtain a first judgment result; the first judgment result comprises a first type fault and a second type fault;
and performing fault repair according to the first judgment result.
The invention also provides a fault processing system of the equipment operation monitoring software, which comprises:
the parameter acquisition module is used for acquiring the running state parameters of the equipment running monitoring software;
the fault judgment module is used for judging whether the equipment operation monitoring software has faults or not according to the fault phenomenon tree;
the fault distinguishing module is used for not needing processing when the equipment operation monitoring software has no fault;
when equipment operation monitoring software has a fault, further judging the fault type to obtain a first judgment result; the first judgment result comprises a first type fault and a second type fault;
and the fault repairing module is used for repairing the fault according to the first judgment result.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a fault processing method and system for equipment operation monitoring software, which can solve the problem that the fault of the equipment operation monitoring software cannot be quickly repaired in the prior art. Specifically, whether the equipment operation monitoring software has a fault or not is quickly judged by acquiring the operation state parameters of the equipment operation monitoring software and comparing the operation state parameters with a preset threshold value. When the equipment operation monitoring software is judged to have faults, the fault type is further judged, and parameters in the equipment operation monitoring software are corrected according to different fault types, so that the aim of quickly repairing the equipment operation monitoring software is fulfilled. The invention realizes the fault diagnosis and quick repair of the software by utilizing the self operating parameters of the equipment operation monitoring software.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a fault handling method for equipment operation monitoring software according to an embodiment of the present invention;
fig. 2 is a block diagram of a system for handling faults of equipment operation monitoring software according to an embodiment of the present invention;
fig. 3 is a structural diagram of a fault determination module of a fault handling system of equipment operation monitoring software according to an embodiment of the present invention;
fig. 4 is a block diagram of a fault handling module of the equipment operation monitoring software fault handling system according to the 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.
The invention aims to provide a fault processing method and a fault processing system for equipment operation monitoring software, which can quickly judge whether the equipment operation monitoring software has faults or not, further classify and process the faults existing in the software and improve the processing efficiency of the equipment operation monitoring software operation faults.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
As shown in fig. 1, the present embodiment provides a fault handling method for equipment operation monitoring software, where the method includes:
step 101: collecting the running state parameters of equipment running monitoring software;
step 102: judging whether the equipment operation monitoring software has faults or not according to the operation state parameters and the fault phenomenon tree;
step 103: when the equipment operation monitoring software has no fault, the equipment operation monitoring software does not need to be processed;
when equipment operation monitoring software has a fault, further judging the fault type to obtain a first judgment result; the first judgment result comprises a first type fault and a second type fault;
step 104: and performing fault repair according to the first judgment result.
Therefore, the embodiment realizes the rapid fault diagnosis and processing of the software by equipping the running state parameters of the running monitoring software. The method for implementing classification and repair according to the degree greatly shortens the repair time, can meet the repair cost and improves the overall efficiency of software repair.
For more clearly explaining the method, the embodiment takes a specific device running monitoring software as an example, and further details are shown.
Firstly, in step 101, when the equipment operation monitoring software is collected, a small monitoring software embedded in the software for monitoring the operation process of the equipment operation monitoring software can be adopted, and the small monitoring software collects the operation state parameters of the equipment operation monitoring software in real time, so that not only can the fault diagnosis and processing of the equipment operation monitoring software be realized, but also the equipment operation software can be detected in real time, thereby timely finding and processing the fault condition of the equipment operation monitoring software, and greatly improving the software efficiency.
The small monitoring software monitors the running state of the equipment running monitoring software in real time, and can select several parameters of the software according to the actual application requirements, such as coding precision, running conditions of various modules and the like, and then average the several parameters to obtain a value finally as a running state parameter x of the equipment running monitoring software.
And then judging whether the software has faults or not according to the fault phenomenon tree and the value of the running state parameter. The fault phenomenon tree is a determination data table of whether software has faults or not corresponding to different values of the operating state parameters, and is shown in table 1.
TABLE 1 failure phenomenon Tree
Data of | Value taking | Conclusion |
x | Greater than 3.8 | Has a fault |
x | Less than or equal to 3.8 | Without failure |
It should be noted that the data table given in table 1 is only a data table determined by taking a certain equipment operation monitoring software as an example, and should not be construed as a specific limitation to the present invention. In the practical application process, the monitoring small software can be used for monitoring the equipment operation monitoring software in a normal state for a period of time, and then the fault phenomenon tree is constructed, so that the fault diagnosis of the equipment operation monitoring software is more accurate.
When the conclusion that the equipment operation monitoring software has no fault is obtained, the software does not need to be processed naturally, and when the fact that the software has the fault is obtained, the fault type of the software needs to be further judged to obtain a first judgment result, wherein the first judgment result comprises a first-class fault and a second-class fault.
Specifically, the fault type is judged for the operating state parameters x > 3.8. And setting a second preset threshold and a third preset threshold according to the bottom layer operation parameters of the equipment operation monitoring software, wherein the second preset threshold is smaller than the third preset threshold. And comparing the running state parameter x with a second preset threshold and a third threshold respectively to obtain a second comparison result.
When the second comparison result is that the operating state parameter is greater than or equal to the second preset threshold and smaller than the third preset threshold, the first judgment result is a second type fault;
otherwise, the first judgment result is a type of fault.
In this embodiment, a specific value of the second preset threshold is set to 5, and a specific value of the third preset threshold is set to 6.8. And when x is more than or equal to 5 and less than 6.8, judging the software fault type to be a second type of fault, otherwise, judging the software fault type to be a first type of fault.
And after the fault type of the software is determined, different fault processing modes are selected according to the fault type. When the first judgment result is a type of fault, only the parameters of the equipment operation software fault module need to be corrected to complete the fault repair; and when the first judgment result is that the two types of faults exist, the code parameters of the data processing module of the equipment running software need to be corrected, so that the redundant data processing module replaces the data processing module to complete the data processing function, and the fault is repaired. By judging the fault type, how to eliminate the fault can be timely and quickly known.
For the repair of a type of fault, a further judgment of the faulty module is required. Classifying the operation state parameters judged to be the same type of fault again, and judging that the input module of the equipment operation monitoring software has the fault when the operation state parameters are smaller than the second preset threshold value; and when the running state parameter is greater than the second preset threshold value, comparing the running state parameter with a third preset threshold value, and when the running state parameter is greater than the third preset threshold value, judging that the output module of the equipment running monitoring software has a fault. Namely, when x is more than or equal to 3.8 and less than 5, judging that the input module of the software has a fault; and when x is more than or equal to 6.8 and less than 10, judging that the output module of the software has a fault.
And when the input module of the equipment operation monitoring software has a fault, correcting the input setting options of the equipment operation monitoring software, and then correcting the original input code parameters in the bottom edition of the equipment operation monitoring software. Specifically, the input setting option of the software is set to be 0.86, and then the original input code parameter z obtained by editing the bottom layer of the software is corrected to be 0.98, so that the fault of the input module can be eliminated. The input setting of the software is equivalent to initializing the initial parameters, the operation parameters and the interface parameters of the software, and different input setting options correspond to different initial speeds, operation fluency and interface friendliness.
And when the output module of the equipment operation monitoring software has a fault, correcting the output setting options of the equipment operation monitoring software, and then correcting the original output code parameters in the bottom edition of the equipment operation monitoring software. Specifically, the output setting option m of the software is set to 0.69, and then the original output code parameter n obtained by editing the bottom layer of the software is corrected to 0.87, so that the fault of the output module can be eliminated. The output setting options influence the running state monitoring parameters of the equipment, and the running equipment monitoring parameters of the equipment can be directly changed by changing the output setting options, so that the running state of the equipment is corrected. The original output code parameter n is the visual reflection of the parameter of the software operation relay, and the software operation relay parameter can be directly changed by modifying the original output code parameter n.
For the processing of the two types of faults, when correcting the code parameters of the data processing module of the equipment operation software, firstly, optimizing and selecting the values of the code parameters of the data processing module according to a formula k of 0.64 x y +0.36 x n, wherein k is the code parameters of the data processing module of the equipment operation software, monitoring parameters representing the phase transformation speed of the data processing module, y is an input setting option of the equipment operation monitoring software, and n is the original output code parameters of the equipment operation monitoring software. And then, the middle end of the redundant data processing module is set by the x of the embedded redundant data processing module, and the tail end g of the redundant data processing module is connected to the output end, so that the embedded redundant data processing module with most functions of the data processing module temporarily replaces the data processing module to realize functions, deep fault removal is carried out after the task is completed, and the quick repair of the equipment operation monitoring software in the site task is ensured.
Therefore, in the embodiment, the software is salvageed in the modes of real-time classification and timely repair of the software faults, reconfiguration, bottom-layer bug repair, temporary emergency use and the like, so that the repair time is shortened, the repair cost is reduced, and the overall efficiency of software repair is improved.
Example 2
As another embodiment of the present invention, there is also provided a fault handling system equipped with running software, as shown in fig. 2, the system including:
the parameter acquisition module M1 is used for acquiring the running state parameters of the equipment running monitoring software;
the fault judgment module M2 is used for judging whether the equipment operation monitoring software has faults according to the fault phenomenon tree;
the fault distinguishing module M3 is used for not needing processing when the equipment operation monitoring software has no fault;
when equipment operation monitoring software has a fault, further judging the fault type to obtain a first judgment result; the first judgment result comprises a first type fault and a second type fault;
and the fault repairing module M4 is configured to perform fault repairing according to the first determination result.
Referring to fig. 3, the fault determining module M2 includes:
the parameter comparison unit M2-1 is configured to compare the operating state parameter with a first preset threshold value, so as to obtain a first comparison result;
the judging unit M2-2 is configured to, when the first comparison result is that the operation state parameter is greater than the first preset threshold, judge that the equipment operation monitoring software has a fault;
when the first comparison result shows that the running state parameter is less than or equal to the first preset threshold value, judging that the equipment running monitoring software has no fault
As shown in fig. 4, the failure recovery module M4 includes:
the first-class fault repairing unit M4-1 is used for further judging a fault module when the first judgment result is a first-class fault, correcting the parameters of the equipment operation software fault module and completing fault repairing;
and the second-class fault repairing unit M4-2 is used for correcting the code parameters of the data processing module of the equipment running software when the first judgment result is a second-class fault, so that the redundant data processing module replaces the data processing module to complete the data processing function and complete the fault repairing.
In the present specification, the emphasis points of the embodiments are different from those of the other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A fault handling method for equipment operation monitoring software, the method comprising:
collecting the running state parameters of equipment running monitoring software;
judging whether the equipment operation monitoring software has faults or not according to the fault phenomenon tree;
when the equipment operation monitoring software has no fault, the equipment operation monitoring software does not need to be processed;
when equipment operation monitoring software has a fault, further judging the fault type to obtain a first judgment result; the first judgment result comprises a first type fault and a second type fault;
and performing fault repair according to the first judgment result.
2. The method for processing the failure of the equipment operation monitoring software according to claim 1, wherein the step of determining whether the equipment operation monitoring software has the failure according to the fault phenomenon tree comprises:
comparing the operating state parameter with a first preset threshold value to obtain a first comparison result;
when the first comparison result shows that the running state parameter is larger than the first preset threshold value, judging that the equipment running monitoring software has a fault;
and when the first comparison result shows that the running state parameter is less than or equal to the first preset threshold, judging that the equipment running monitoring software has no fault.
3. The method for processing the fault of the equipment operation monitoring software according to claim 1, wherein when the equipment operation monitoring software has a fault, the fault type of the software is further judged to obtain a first judgment result, and specifically, the method comprises:
comparing the running state parameters with a second preset threshold and a third threshold respectively to obtain a second comparison result; the second preset threshold is smaller than a third preset threshold;
when the second comparison result is that the operating state parameter is greater than or equal to the second preset threshold and smaller than the third preset threshold, the first judgment result is a second type fault;
otherwise, the first judgment result is a type of fault.
4. The method for processing the fault of the equipment operation monitoring software according to claim 1, wherein the performing fault repair according to the first determination result specifically includes:
when the first judgment result is a type of fault, further judging a fault module, correcting parameters of the equipment operation software fault module, and completing fault repair;
and when the first judgment result is the second-class fault, correcting the code parameters of the data processing module of the equipment operating software, so that the redundant data processing module replaces the data processing module to complete the data processing function, and completing the fault repair.
5. The method for processing the fault of the equipment operation monitoring software according to claim 4, wherein the step of further judging the fault module comprises the following steps:
comparing the running state parameter with a second preset threshold value, and judging that the input module of the equipment running monitoring software has a fault when the running state parameter is smaller than the second preset threshold value;
and when the running state parameter is greater than the second preset threshold value, comparing the running state parameter with a third preset threshold value, and when the running state parameter is greater than the third preset threshold value, judging that the output module of the equipment running monitoring software has a fault.
6. The method for processing the fault of the equipment operation monitoring software according to claim 5, wherein the step of correcting the parameter of the equipment operation software fault module to complete the fault repair specifically comprises:
when the input module of the equipment operation monitoring software has a fault, correcting the input setting options of the equipment operation monitoring software, and then correcting the original input code parameters in the bottom edition of the equipment operation monitoring software;
and when the output module of the equipment operation monitoring software has a fault, correcting the output setting options of the equipment operation monitoring software, and then correcting the original output code parameters in the bottom edition of the equipment operation monitoring software.
7. The method according to claim 4, wherein when the data processing module code parameters of the equipment operation monitoring software are modified, the values of the data processing module code parameters are determined according to a formula k-0.64 x y +0.36 x n, where k is the data processing module code parameters of the equipment operation software, y is the input setting options of the equipment operation monitoring software, and n is the original output code parameters of the equipment operation monitoring software.
8. A fault handling system equipped with operation monitoring software, the system comprising:
the parameter acquisition module is used for acquiring the running state parameters of the equipment running monitoring software;
the fault judgment module is used for judging whether the equipment operation monitoring software has faults or not according to the fault phenomenon tree;
the fault distinguishing module is used for not needing processing when the equipment operation monitoring software has no fault;
when equipment operation monitoring software has a fault, further judging the fault type to obtain a first judgment result; the first judgment result comprises a first type fault and a second type fault;
and the fault repairing module is used for repairing the fault according to the first judgment result.
9. The fault handling system equipped with operation monitoring software according to claim 8, wherein the fault determining module comprises:
the parameter comparison unit is used for comparing the running state parameter with a first preset threshold value to obtain a first comparison result;
the judging unit is used for judging that the equipment operation monitoring software has faults when the first comparison result shows that the operation state parameter is larger than the first preset threshold value;
and when the first comparison result shows that the running state parameter is less than or equal to the first preset threshold, judging that the equipment running monitoring software has no fault.
10. The fault handling system equipped with operation monitoring software according to claim 8, wherein the fault repairing module comprises:
the first-class fault repairing unit is used for further judging a fault module when the first judgment result is a first-class fault, correcting the parameters of the equipment operation software fault module and completing fault repairing;
and the second-class fault repairing unit is used for correcting the code parameters of the data processing module of the equipment operating software when the first judgment result is a second-class fault, so that the redundant data processing module replaces the data processing module to complete the data processing function and complete the fault repairing.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011611882.7A CN112732520B (en) | 2020-12-30 | 2020-12-30 | Fault processing method and system for equipment operation monitoring software |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011611882.7A CN112732520B (en) | 2020-12-30 | 2020-12-30 | Fault processing method and system for equipment operation monitoring software |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112732520A true CN112732520A (en) | 2021-04-30 |
CN112732520B CN112732520B (en) | 2024-04-12 |
Family
ID=75610239
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011611882.7A Active CN112732520B (en) | 2020-12-30 | 2020-12-30 | Fault processing method and system for equipment operation monitoring software |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112732520B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114968761A (en) * | 2022-04-11 | 2022-08-30 | 杭州德适生物科技有限公司 | Software operating environment safety supervision system based on internet |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04314060A (en) * | 1990-09-28 | 1992-11-05 | Xerox Corp | Method for processing object fault of printing system |
JP2002149437A (en) * | 2000-11-15 | 2002-05-24 | Hitachi Ltd | Method for restarting software |
US20110137711A1 (en) * | 2009-12-04 | 2011-06-09 | Gm Global Technology Operations, Inc. | Detecting anomalies in field failure data |
US20130030641A1 (en) * | 2011-07-26 | 2013-01-31 | United Parcel Service Of America, Inc. | Systems and methods for managing fault codes |
CN103699489A (en) * | 2014-01-03 | 2014-04-02 | 中国人民解放军装甲兵工程学院 | Software remote fault diagnosis and repair method based on knowledge base |
CN103812727A (en) * | 2014-01-27 | 2014-05-21 | 中国电子科技集团公司第十研究所 | Diagnostic method for automatically analyzing and positioning equipment failure of deep space measurement and control station |
CN104216825A (en) * | 2013-06-04 | 2014-12-17 | 北京神州泰岳软件股份有限公司 | Problem locating method and system |
CN107612756A (en) * | 2017-10-31 | 2018-01-19 | 广西宜州市联森网络科技有限公司 | A kind of operation management system with intelligent trouble analyzing and processing function |
CN107678975A (en) * | 2017-11-17 | 2018-02-09 | 北京锐安科技有限公司 | A kind of software fault detection method and device |
CN110069143A (en) * | 2018-01-22 | 2019-07-30 | 北京搜狗科技发展有限公司 | A kind of information is anti-error to entangle method, apparatus and electronic equipment |
WO2019153505A1 (en) * | 2018-02-07 | 2019-08-15 | 平安科技(深圳)有限公司 | Method for publishing fault recovery data packet and server |
-
2020
- 2020-12-30 CN CN202011611882.7A patent/CN112732520B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04314060A (en) * | 1990-09-28 | 1992-11-05 | Xerox Corp | Method for processing object fault of printing system |
JP2002149437A (en) * | 2000-11-15 | 2002-05-24 | Hitachi Ltd | Method for restarting software |
US20110137711A1 (en) * | 2009-12-04 | 2011-06-09 | Gm Global Technology Operations, Inc. | Detecting anomalies in field failure data |
US20130030641A1 (en) * | 2011-07-26 | 2013-01-31 | United Parcel Service Of America, Inc. | Systems and methods for managing fault codes |
CN104216825A (en) * | 2013-06-04 | 2014-12-17 | 北京神州泰岳软件股份有限公司 | Problem locating method and system |
CN103699489A (en) * | 2014-01-03 | 2014-04-02 | 中国人民解放军装甲兵工程学院 | Software remote fault diagnosis and repair method based on knowledge base |
CN103812727A (en) * | 2014-01-27 | 2014-05-21 | 中国电子科技集团公司第十研究所 | Diagnostic method for automatically analyzing and positioning equipment failure of deep space measurement and control station |
CN107612756A (en) * | 2017-10-31 | 2018-01-19 | 广西宜州市联森网络科技有限公司 | A kind of operation management system with intelligent trouble analyzing and processing function |
CN107678975A (en) * | 2017-11-17 | 2018-02-09 | 北京锐安科技有限公司 | A kind of software fault detection method and device |
CN110069143A (en) * | 2018-01-22 | 2019-07-30 | 北京搜狗科技发展有限公司 | A kind of information is anti-error to entangle method, apparatus and electronic equipment |
WO2019153505A1 (en) * | 2018-02-07 | 2019-08-15 | 平安科技(深圳)有限公司 | Method for publishing fault recovery data packet and server |
Non-Patent Citations (1)
Title |
---|
王莹;田立军;: "应用神经网络的装备软件可靠性预测", 科技信息, no. 16, 5 June 2009 (2009-06-05), pages 208 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114968761A (en) * | 2022-04-11 | 2022-08-30 | 杭州德适生物科技有限公司 | Software operating environment safety supervision system based on internet |
Also Published As
Publication number | Publication date |
---|---|
CN112732520B (en) | 2024-04-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109188227B (en) | Double-fed wind driven generator insulation state evaluation method and system | |
CN107832164A (en) | A kind of method and device of the faulty hard disk processing based on Ceph | |
CN107659465B (en) | Device and method for checking error frames of CAN (controller area network) bus of whole vehicle | |
KR20170031985A (en) | Fault detection and diagnostics method of air-conditioning system | |
CN108153273B (en) | Vehicle signal failure fault diagnosis method and vehicle control unit | |
CN112255552B (en) | Fault diagnosis method and device for temperature acquisition device of fuel cell and vehicle | |
CN110689141A (en) | Fault diagnosis method and equipment for wind generating set | |
CN112732520B (en) | Fault processing method and system for equipment operation monitoring software | |
CN105550056A (en) | System reconfiguration based fault self-recovery system and realization method therefor | |
CN102902563A (en) | Linux operating system and method for mounting file system in starting process of Linux operating system | |
CN114326659A (en) | Fault diagnosis system and method for automobile electronic control unit | |
CN110108981B (en) | Fault diagnosis method and system for lines in active power distribution network | |
CN108932358B (en) | Method for determining subsequent spare part demand of Weibull unit | |
CN110705787A (en) | Aircraft maintenance task optimization method | |
CN110825621A (en) | Regression test case priority calculation method based on dynamic risk | |
CN117318069B (en) | Power supply system fault self-healing method and system | |
CN112257880A (en) | Maintenance decision method and system for k/n load sharing system | |
CN115525455A (en) | Method, device, server and storage medium for repairing abnormality of multi-level system | |
CN113065674B (en) | Method, system and electronic equipment for determining availability of use | |
CN112036693B (en) | Process sequencing method based on finite weighting process fault rate | |
CN112069014B (en) | Storage system fault simulation method, device, equipment and medium | |
CN113987065A (en) | Database drifting method, system, electronic device and storage medium | |
CN108875205A (en) | System availability efficient simulation method based on reachable matrix and discrete event driving | |
CN111125078A (en) | Defect data correction method for relay protection device | |
CN116628608B (en) | Photovoltaic power generation fault diagnosis method and system |
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 |