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 PDFInfo
- 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.)
- Expired - Fee Related
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 83
- 238000010998 test method Methods 0.000 title claims abstract description 15
- 238000004519 manufacturing process Methods 0.000 claims abstract description 49
- 238000000034 method Methods 0.000 claims abstract description 41
- 241001269238 Data Species 0.000 claims description 9
- 238000012545 processing Methods 0.000 abstract description 5
- 238000009412 basement excavation Methods 0.000 abstract 1
- 230000002265 prevention Effects 0.000 abstract 1
- 238000013461 design Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 238000013480 data collection Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 3
- 238000009776 industrial production Methods 0.000 description 3
- 238000010924 continuous production Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test 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)
- Stored Programmes (AREA)
- Debugging And Monitoring (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
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.
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 Expired - Fee Related 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 (6)
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 |
CN113360416B (en) * | 2021-07-22 | 2024-08-02 | 中国工商银行股份有限公司 | Test data batch generation method and device |
Citations (1)
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)
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 |
-
2017
- 2017-12-26 CN CN201711430855.8A patent/CN107967218B/en not_active Expired - Fee Related
Patent Citations (1)
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 | |
WO2021213247A1 (en) | Anomaly detection method and device | |
CN111143102B (en) | Abnormal data detection method and device, storage medium and electronic equipment | |
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 | |
EP3596670A1 (en) | Automated decision making using staged machine learning | |
AU2019204000A1 (en) | Mitigating asset damage via asset data analysis and processing | |
JP4078671B2 (en) | Plant maintenance management method | |
CN113722134A (en) | Cluster fault processing method, device and equipment and readable storage medium | |
KR20190143832A (en) | Method for testing air traffic management electronic system, associated electronic device and platform | |
CN118211837B (en) | Performance evaluation method and device for intelligent ammeter | |
KR102062992B1 (en) | Systems and methods for determining abnormal conditions based on plant alarms or symptom and change of major operating variables | |
CN110532122B (en) | Fault analysis method and system, electronic equipment and storage medium | |
CN114924990A (en) | Abnormal scene testing method and electronic equipment | |
CN114615018A (en) | Abnormity detection method for financial transaction full link log | |
CN104268080A (en) | Software exception handling method and device | |
CN106652393A (en) | Method for determining false alarm | |
CN117540310A (en) | Abnormality detection method and system for water affair culvert box based on machine learning | |
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 | |
Currie et al. | Transforming ‘value engineering’from an art form into a science–process resilience modelling | |
CN114039837A (en) | Alarm data processing method, device, system, equipment and storage medium | |
CN113672940A (en) | Service data monitoring method, system, device and medium | |
CN114546754A (en) | Automatic intelligent monitoring method and system and map data cloud platform | |
US10318367B1 (en) | Systems and methods for computer infrastructure monitoring and maintenance |
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 |
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 |
|
CP02 | Change in the address of a patent holder | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181030 |
|
CF01 | Termination of patent right due to non-payment of annual fee |