CN107967218B - Boundary value test method in industrial software on-the-spot test based on user's history data - Google Patents

Boundary value test method in industrial software on-the-spot test based on user's history data Download PDF

Info

Publication number
CN107967218B
CN107967218B CN201711430855.8A CN201711430855A CN107967218B CN 107967218 B CN107967218 B CN 107967218B CN 201711430855 A CN201711430855 A CN 201711430855A CN 107967218 B CN107967218 B CN 107967218B
Authority
CN
China
Prior art keywords
data
continuous
nearest
invalid
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201711430855.8A
Other languages
Chinese (zh)
Other versions
CN107967218A (en
Inventor
赵丁
赵一丁
刘卫光
杨关
刘小明
樊银亭
刘凤华
张文宁
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.)
Zhongyuan University of Technology
Original Assignee
Zhongyuan University of Technology
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 Zhongyuan University of Technology filed Critical Zhongyuan University of Technology
Priority to CN201711430855.8A priority Critical patent/CN107967218B/en
Publication of CN107967218A publication Critical patent/CN107967218A/en
Application granted granted Critical
Publication of CN107967218B publication Critical patent/CN107967218B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/3668Software testing
    • G06F11/3672Test management
    • G06F11/3688Test management for test execution, e.g. scheduling of test suites

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Debugging And Monitoring (AREA)
  • Stored Programmes (AREA)

Abstract

The invention discloses boundary value test methods in a kind of industrial software on-the-spot test based on user's history data, belong to software test field.The on-the-spot test of industrial software is possible to bring serious loss to user's produced on-site, just valid data near boundary value and just invalid data easily causes production accident.Pass through the excavation to user production scene historical data, find the nearest invalid data near boundary value and nearest valid data, and production status information caused by these data is analyzed according to corresponding historical process data, assessing related data could be as the input data of border value testing, and the comparison foundation of output can be tested using the alignment processing process data of old software in historical data as tested new Software thread.The method of the present invention is based on obtaining border value testing data to the data processing of particular user production history, and closer to the actual conditions of user, testing efficiency and adequacy can be improved under the premise of effective accident prevention risk.

Description

Boundary value test method in industrial software on-the-spot test based on user's history data
Technical field
The invention belongs to industrial software technical field of measurement and test, and in particular to a kind of industrial software based on user's history data Boundary value test method in on-the-spot test.
Background technology
Industrial software the relevant technologies develop constantly, and the online software of commercial plant is also updating, many old Process industrial process units there is ongoing need for long-term normal operation, and the online software system of these devices may also need more Newly.But wherein also there is new software system the phenomenon that industrial installation scene trial operation fails, for example petrochemical iy produced high temperature is high Pressure, inflammable and explosive, risk is too big, and user one has found that new software has bug, stops trial operation at once, dare not continue to take a risk.It is tangible Software supplier has also carried out conscientious non-at-scene test as possible before the live trial operation of these failures, experimental provision very It has been successfully tested to other similar process units, but still in this specific production scene operation failure, has summarized practice religion Instruction, a main problem are exactly:Lack a degree of on-the-spot test before the trial operation of user production scene.
Under non-genuine on-the-spot test environment, may and true production scene have a various tiny different deviations, but this A little deviations are likely to result in test result and the operation result under real scene environment is not quite identical, will produce the test of mistake Conclusion, on-the-spot test of the software under real goal site environment cannot completely be substituted by non-at-scene test environment.Experience have shown that The probability higher that new industrial software boundary value nearby malfunctions, with greater need for implementation border value testing.
In practice, the on-the-spot test of industrial software has many difficulties, the method for on-the-spot test to be given birth to by user is practical The various constraints of industry business.Passive Test be frequently with method, but Passive Test more problems:It is difficult to active control test mesh Mark and process, not design test case, testing efficiency it is universal it is relatively low, coverage rate is low etc..Tester with active it is of course desirable that surveyed Method for testing, but actively test may produce the risk that causes the accident to user at scene, even sometimes legal input data also has It may lead to the appearance of accident, it is possible to which serious loss is brought to produced on-site.Boundary during especially test is put into practice at the scene The problem of being worth test method is even more serious, just valid data near boundary value and just invalid data easily causes production thing Therefore.
Invention content
The present invention provides boundary value test method in a kind of industrial software on-the-spot test based on user's history data, is used for The practical problems of existing boundary value test method at the scene in implementation process are solved, each of common live Passive Test is overcome Kind disadvantage, is such as difficult to active control test target and process, not design test case, and testing efficiency is generally relatively low, coverage rate is low Deng having taken precautions against the just valid data in actively testing near boundary value and just invalid data easily cause the skills such as production accident Art problem.
In order to solve the above technical problems, the technical solution adopted in the present invention is as follows:
Boundary value test method in a kind of industrial software on-the-spot test based on user's history data, steps are as follows:
S1 obtains the historical production data library of user.
S2 sets the search criterion of invalid data for some service parameter handled by tested software, is produced from history Continuous invalid data section is searched in database, it is single isolated that the continuous invalid data section, which means invalid data not, Data point, number at least three of continuous invalid data, and the number lower limit set value of continuous data can be according to industry number It is increased according to experience adjustments.
S3 goes to step S7 if can not find continuous invalid data section.
S4, using each of being found first group of data of continuous invalid data section as initial point, in chronological order to going through The data record of history Production database toward being pushed forward, finds valid data one by one, because industrial production is usually nominal situation, It can be generally pushed forward valid data, if having found continuous valid data section, most by this continuous valid data section Later group data are as nearest valid data.
Assuming that findingnA continuous invalid data section, fori(I=1,2 ...,n) a continuous invalid data section carries out Following processing:
Its specific steps are:
S4.1 obtains the corresponding historical data of i-th of continuous invalid data section;
S4.2, using first group of invalid data point of i-th of continuous invalid data section as starting point, forward according to process time It pushes away, finds continuous valid data section, and using last group of data in continuous valid data section as i-th of nearest legal number According to.
S5, using first group of data of each continuous invalid data section of subsequent first of nearest valid data as non-recently Method data.
The nearest invalid data is for some service parameter handled by tested software, and customer service scene is in history Once closest to the invalid data of boundary value in the continuous invalid data section occurred;Continuous invalid data section refers to invalid data not It is individually isolated data point, the number lower limit set value of number at least three of continuous invalid data, continuous data can basis Industry data experience adjustments increase;The nearest valid data is for some service parameter handled by tested software, user Closest to the data of boundary value in the continuous valid data section that business scene once occurred in history;Continuous valid data section refers to Valid data is not individually isolated data point, and the number lower limit of number at least three of continuous valid data, continuous data is set Definite value can be increased according to industry data experience adjustments.
S6 selects the input data as border value testing from the nearest invalid data and nearest valid data obtained Alternate data.The selection of alternate data is first to obtain history production corresponding with nearest invalid data and nearest valid data Process data, according to the production status that relevant history production process data is reflected, analysis production status produces user Whether influence degree and caused accident process are controllable, and it is controllable to choose nearest valid data and nearest invalid data risk Alternate data of the part as the input data of on-the-spot test, and go to step S8.
S7, the historical data maximum value and minimum value of statistical correlation parameter, using the maximum value of historical data, minimum value as The alternative input data of the border value testing of on-the-spot test.
S8 lists all nearest valid datas, nearest invalid data or step that can be used as on-the-spot test input data The obtained input datas of S7, the alternate data of the input data as live border value testing, and offer Subscriber Unit examination & approval.
S9 finds these input datas for identified each group of test input data from historical production data library Corresponding response process data, the comparison foundation of the test output data as tested software system(Or as desired output Design considerations).
The shortcomings that testing the present invention overcomes classical Passive Test and actively:Passive Test is normally produced dependent on user Data, on-the-spot test efficiency is low, and test process is uncontrollable, it is difficult to carry out border value testing;Boundary in classical active test Risk is difficult to control caused by value test method is possible, is easy to cause accident, loss is brought to user.This new industrial software Boundary value test method in on-the-spot test can control test target and test process under the premise of averting risks, existing Field is implemented efficient, and the test output of tested new software system and the corresponding historical data of legacy system can be carried out It compares(With the quality of the new software of exact evaluation).In fact, the history big data of the produced on-site of industrial user is largely The characteristics of personality for reflecting particular user business datum, boundary value obtained from the processing based on particular user production history data Data, a portion are exactly exactly the data being susceptible to, closer to the truth of user from the point of view of experience.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the simple flow chart of steps of the present invention.
Fig. 2 is the specific steps flow chart of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained all other under the premise of not making the creative labor Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, boundary value test method in a kind of industrial software on-the-spot test based on user's history data, step It is as follows:
S1 obtains the historical production data library of user.
S2 sets the search criterion of invalid data for some service parameter handled by tested software, is produced from history Continuous invalid data section is searched in database, it is single isolated that the continuous invalid data section, which means invalid data not, Data point, number at least three of continuous invalid data, and the number lower limit set value of continuous data can be according to industry number It is increased according to experience adjustments.
S3 goes to step S7 if can not find continuous invalid data section.
S4, using each of being found first group of data of continuous invalid data section as initial point, in chronological order to going through The data record of history Production database toward being pushed forward, finds valid data one by one, because industrial production is usually nominal situation, It can be generally pushed forward valid data, if having found continuous valid data section, most by this continuous valid data section Later group data are as nearest valid data.
Assuming that findingnA invalid data section, for i-th(I=1,2 ...,n) a continuous invalid data section carry out it is as follows Processing:
Its specific steps are:
S4.1 obtains the corresponding historical data of i-th of continuous invalid data section;
S4.2, using first group of invalid data point of i-th of continuous invalid data section as starting point, forward according to process time It pushes away, finds continuous valid data section, and using last group of data in continuous valid data section as i-th group of legal number recently According to.
S5, using first group of data of each continuous invalid data section of subsequent first of nearest valid data as non-recently Method data.
The nearest invalid data is for some service parameter handled by tested software, and customer service scene is in history Once closest to the invalid data of boundary value in the continuous invalid data section occurred;Continuous invalid data section refers to invalid data not It is individually isolated data point, the number lower limit set value of number at least three of continuous invalid data, continuous data can basis Industry data experience adjustments increase;The nearest valid data is for some service parameter handled by tested software, user Closest to the data of boundary value in the continuous valid data section that business scene once occurred in history;Continuous valid data section refers to Valid data is not individually isolated data point, and the number lower limit of number at least three of continuous valid data, continuous data is set Definite value can be increased according to industry data experience adjustments.
S6 selects the input data as border value testing from the nearest invalid data and nearest valid data obtained Alternate data.The selection of alternate data is first to obtain history production corresponding with nearest invalid data and nearest valid data Process data, according to the production status that relevant history production process data is reflected, analysis production status produces user Whether influence degree and caused accident process are controllable, and it is controllable to choose nearest valid data and nearest invalid data risk Alternate data of the part as the input data of on-the-spot test, and go to step S8.
S7, the historical data maximum value and minimum value of statistical correlation parameter, using the maximum value of historical data, minimum value as The alternative input data of the border value testing of on-the-spot test.
S8 lists all nearest valid datas, nearest invalid data or step that can be used as on-the-spot test input data The obtained input datas of S7, the alternate data of the input data as live border value testing(Subscriber Unit is needed to examine in practice Batch).
S9 finds these input datas for identified each group of test input data from historical production data library Corresponding response process data, the comparison foundation of the test output data as tested software system(Or as desired output Design considerations).
The key technology step of specific implementation is explained as follows, as shown in Figure 2:
(1) step 1:The data near boundary value in historical data are found as possible.If boundary value search criterion is excessively Harshness, qualified data can be reduced;Condition is relaxed, and qualified data may be excessive.When initial, search criterion setting It is loose as possible, make that condition and range is gradually harsh, approaches boundary value in step 3.This certain boundary value querying condition is set Set the measurement error it is also contemplated that hardware device.
(2) step 2:The data occurred near boundary value in the historical data of actual device production are uncertain, to be arranged Except distortion data.Single invalid data may have a lot of reasons generation(Noise, distortion etc.), so continuous data segment is needed, Consecutive numbers is more difficult to look for more greatly, but cannot be too small(Continuous invalid data number lower limit is at least 3, rule of thumb, continuous data Number lower limit set value can be increased according to industry data experience adjustments).
(3) step 3:If the continuous invalid data section found is excessive, condition can be changed harsher so that data Outcome quality higher.
(4) step 4:For each invalid data section, excavating all continuous process with this invalid data section has The data of the historical data of pass, local time's section are abundant as possible, and data collection cycle is short as possible.The history number of process industrial production According in library comprising for many years can automatic data collection, can automatic data collection collection period be usually the second grade, classification etc., in real time Database is main source, needs whether inspection data is distorted in practice(Measuring apparatus failure, noise jamming etc. cause), but very May without it is integrated it is relevant can not automatic data collection, can not automatic data collection(Such as artificial analysis data)Collection period Time is generally longer, in this case, needs to find the historical data bases such as corresponding relevant artificial chemical examination, can be from Subscriber Unit It goes to excavate in the various data archivals of multiple departments, relevant information library etc., the method that disparate databases preserve is different, need to be to original The production history database of beginning is processed, and carries out targetedly cutting, integrated association process.
(5) step 5:From this invalid data section(It was likely to be accident condition at that time)Data are past one by one in chronological order It is pushed forward, finds valid data(Because device production is usually nominal situation, it can generally be pushed forward valid data), but it is instantaneous Valid data cannot function as nominal situation data, so the continuous process data before judging this valid data point whether Legal, if being continuous valid data section, last group of data therein are as nearest valid data.
(6) step 6:First group of data of the subsequent continuous invalid data section of nearest valid data section can be used as non-recently Method data.
(7) step 7:Under normal circumstances, the accident process data that process industry production scene occurs are generally seldom, but These data are but very precious for on-the-spot test.Data mining cost may be higher, invalid data that can be as needed Detail pointedly excavate, to reduce excavating cost and excavate as far as possible abundant.Here it especially reminds:Accident conditions, Go into operation, stop work, process program handoff procedure it is medium be easy include invalid data.
(8) step 8:Many commercial plant long-time stable normal operations, invalid data is seldom, if from existing whole The invalid data of needs is can not find in production history database, then the historical data of manufacturing parameter can be counted in this case Maximum value and minimum value, these maximums, minimum values also largely reflect the number of this commercial plant actual production in fact According to range and business characteristic, can using the maximum and minimum value of historical data as the design of the input data of border value testing according to According to.
(9) step 9:Can maximum, the corresponding historical process data of minimum value and corresponding work information, judgement be excavated make To test input data.
(10) step 10:For each " nearest valid data " and " nearest invalid data ":Excavate corresponding history life Process data is produced, according to the production status of relevant history production process data reflection, analyzes the influence degree produced to user And whether caused accident process is controllable, judgement could be as the input data of on-the-spot test(In practice, user's production technology is needed Expert participates in this step work, and need to examine the input data that rear can be used as on-the-spot test by user's production safety department).Generally In the case of, choose the input data of nearest valid data and the controllable nearest invalid data in part of risk as on-the-spot test.
(11) step 11:For the input data of fixed border value testing, this is found from production history database Response process data corresponding to a little input datas, the comparison foundation of the test output data as new tested software system (Or the design considerations as desired output), corresponding comparison can be carried out with the process data of old software processing in this way, for phase Same input data can more clearly quantify the Quality advance degree of the relatively old software of the new tested software system of comparative evaluation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention With within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention god.

Claims (4)

1. boundary value test method in a kind of industrial software on-the-spot test based on user's history data, which is characterized in that step It is as follows:
S1 obtains the historical production data library of user;
S2 sets the search criterion of invalid data for some service parameter handled by tested software, from historical production data Continuous invalid data section is searched in library;
S3 goes to step S7 if can not find continuous invalid data section;
S4 in chronological order gives birth to history using first group of data for each of being found continuous invalid data section as initial point The data record of database is produced one by one toward being pushed forward, valid data is searched, if continuous valid data section is had found, by this Last group of data of a continuous valid data section are as nearest valid data;
S5, using first group of data of subsequent first group continuous invalid data section of nearest valid data time point as illegal recently Data;
S6 selects the standby of the input data as border value testing from the nearest invalid data and nearest valid data obtained Data are selected, for obtained each group of nearest valid data and nearest invalid data, excavate corresponding history production process number According to according to the production status that relevant history production process data is reflected, whether accident process is controllable caused by analyzing, and judges Could be as the input data of on-the-spot test, and go to step S8;
S7, the historical data maximum value and minimum value of statistical correlation parameter, using the maximum value of historical data, minimum value as scene The input data of the border value testing of test;
S8 is listed obtained by all nearest valid datas that can be used as on-the-spot test input data, nearest invalid data or step S7 The input data arrived, the alternate data of the input data as live border value testing submit a report asking for user's examination & approval;
S9 finds these input datas correspondence for identified each group of test input data from historical production data library Response process data, the comparison foundation of the test output data as tested software system.
2. boundary value test method in the industrial software on-the-spot test according to claim 1 based on user's history data, It is characterized in that, in step s 4, the specific steps are:Assuming that findingnA continuous invalid data section, it is continuous non-for i-th Method data segment is handled as follows, wherein i=1, and 2 ...,n
S4.1 obtains the corresponding history production process data of i-th of continuous invalid data section;
S4.2, according to process time toward being pushed forward, is looked for using first group of invalid data point of i-th of continuous invalid data section as starting point To continuous valid data section, and using last group of data in continuous valid data section as i-th of nearest valid data.
3. boundary value test method in the industrial software on-the-spot test according to claim 1 based on user's history data, It is characterized in that, in step s 4, the nearest invalid data is for some service parameter handled by tested software, user Closest to the invalid data of boundary value in the continuous invalid data section that business scene once occurred in history;Continuous invalid data section refers to Be invalid data be not individually isolated data point, number at least three of continuous invalid data, under the number of continuous data Limit setting value can be increased according to industry data experience adjustments;The nearest valid data is for some handled by tested software Service parameter, closest to the data of boundary value in the continuous valid data section that customer service scene once occurred in history;It is continuous to close Method data segment refers to valid data not and is individually isolated data point, number at least three of continuous valid data, consecutive numbers According to number lower limit set value can be increased according to industry data experience adjustments.
4. boundary value test method in the industrial software on-the-spot test according to claim 1 based on user's history data, It is characterized in that, in step s 6, the selection of alternate data is that first acquisition is opposite with nearest invalid data and nearest valid data The history production process data answered analyzes production status according to the production status that relevant history production process data is reflected It is whether controllable to the influence degree and caused accident process of user's production, and choose nearest valid data and nearest invalid data Alternate data of the controllable part of risk as the input data of on-the-spot test.
CN201711430855.8A 2017-12-26 2017-12-26 Boundary value test method in industrial software on-the-spot test based on user's history data Active CN107967218B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711430855.8A CN107967218B (en) 2017-12-26 2017-12-26 Boundary value test method in industrial software on-the-spot test based on user's history data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711430855.8A CN107967218B (en) 2017-12-26 2017-12-26 Boundary value test method in industrial software on-the-spot test based on user's history data

Publications (2)

Publication Number Publication Date
CN107967218A CN107967218A (en) 2018-04-27
CN107967218B true CN107967218B (en) 2018-10-30

Family

ID=61994887

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711430855.8A Active CN107967218B (en) 2017-12-26 2017-12-26 Boundary value test method in industrial software on-the-spot test based on user's history data

Country Status (1)

Country Link
CN (1) CN107967218B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108959102B (en) * 2018-07-27 2020-01-17 百度在线网络技术(北京)有限公司 Method and device for generating test data and testing application to be tested
CN109885504B (en) * 2019-03-15 2022-09-30 网易(杭州)网络有限公司 Recommendation system test method, device, medium and electronic equipment
CN110334308B (en) * 2019-04-23 2022-10-25 中国电子科技集团公司第二十四研究所 Calculation method for optimizing bias condition in power supply scanning parameter test
CN112180886B (en) * 2020-10-29 2021-07-16 中原工学院 Method for determining critical value of process parameter of specific production device in process industry
CN112566128B (en) * 2021-03-01 2021-05-11 深圳市乙辰科技股份有限公司 Wireless router management and control method based on mac address

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103034209A (en) * 2012-12-18 2013-04-10 湖南大唐先一科技有限公司 Discrimination method for on-line measured data accuracy

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103914380B (en) * 2014-03-26 2016-10-19 北京邮电大学 Boundary value test method in structured testing and system thereof
CN105843743B (en) * 2016-04-11 2018-10-02 南京邮电大学 A kind of verification method of specific automation test case reality output result correctness

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103034209A (en) * 2012-12-18 2013-04-10 湖南大唐先一科技有限公司 Discrimination method for on-line measured data accuracy

Also Published As

Publication number Publication date
CN107967218A (en) 2018-04-27

Similar Documents

Publication Publication Date Title
CN107967218B (en) Boundary value test method in industrial software on-the-spot test based on user's history data
CN111143102B (en) Abnormal data detection method and device, storage medium and electronic equipment
WO2021213247A1 (en) Anomaly detection method and device
US20230385034A1 (en) Automated decision making using staged machine learning
US11080127B1 (en) Methods and apparatus for detection of process parameter anomalies
CN109672663B (en) Closed-loop network security supervision method and system for security threat event
JP4078671B2 (en) Plant maintenance management method
CN110764474B (en) Method and system for monitoring running state of equipment
AU2019204000A1 (en) Mitigating asset damage via asset data analysis and processing
US20200234321A1 (en) Cost analysis system and method for detecting anomalous cost signals
CN113722134A (en) Cluster fault processing method, device and equipment and readable storage medium
CN114924990A (en) Abnormal scene testing method and electronic equipment
KR102062992B1 (en) Systems and methods for determining abnormal conditions based on plant alarms or symptom and change of major operating variables
US11560789B2 (en) Method for pre-warning deformation of casing pipe according to change feature of b-value of hydraulic fracturing induced microseismicity
US20210089292A1 (en) Systems and methods for updating detection models and maintaining data privacy
KR20190143832A (en) Method for testing air traffic management electronic system, associated electronic device and platform
CN104268080A (en) Software exception handling method and device
CN106652393A (en) Method for determining false alarm
CN110532122B (en) Fault analysis method and system, electronic equipment and storage medium
AU2023203898A1 (en) Method For Managing Plant, Plant Design Device, And Plant Management Device
CN116545867A (en) Method and device for monitoring abnormal performance index of network element of communication network
CN113551764B (en) Vibration analysis apparatus and method thereof
CN114118137A (en) Power metering production equipment monitoring method and device, terminal and storage medium
CN114546754A (en) Automatic intelligent monitoring method and system and map data cloud platform
Yousef et al. On the use of predictive analytics techniques for network elements failure prediction in telecom operators

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
CP02 Change in the address of a patent holder
CP02 Change in the address of a patent holder

Address after: 451191 No. 1 Huaihe Road, Shuang Hu Economic and Technological Development Zone, Xinzheng, Zhengzhou, Henan

Patentee after: Zhongyuan University of Technology

Address before: 451191 No. 1 Huaihe Road, Shuanghu Town Economic and Technological Development Zone, Zhengzhou City, Henan Province

Patentee before: Zhongyuan University of Technology