CN106908372A - A kind of insulator hardware corrosion detecting method and test experience data system - Google Patents
A kind of insulator hardware corrosion detecting method and test experience data system Download PDFInfo
- Publication number
- CN106908372A CN106908372A CN201710130805.1A CN201710130805A CN106908372A CN 106908372 A CN106908372 A CN 106908372A CN 201710130805 A CN201710130805 A CN 201710130805A CN 106908372 A CN106908372 A CN 106908372A
- Authority
- CN
- China
- Prior art keywords
- corrosion
- detection information
- interval
- judged result
- insulator hardware
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
- G01N17/006—Investigating resistance of materials to the weather, to corrosion, or to light of metals
Abstract
It is of the invention to disclose insulator hardware corrosion detecting method and test experience data system in fact, it is related to power safety technique field.Detection information by obtaining the intrinsic parameter of sample and test parameter of the invention, it is interval according to where corrosion criterion interval judgement test parameter, judge and obtain the judged result of insulator hardware corrosion condition, detection information and judged result are stored into property data base.Researcher can inquire about in database and transfer the test parameter and judged result of different intrinsic Parameter Samples, horizontal comparison is carried out to sample etches situation under same sample different experimental conditions, also the corrosion condition of same laboratory sample different time can be tracked, sample trace detection efficiency is low in solving insulator hardware corrosion experiment, the problem of the detection information circulation comparative difference of process data.
Description
Technical field
The application is related to power safety technique field, more particularly to a kind of insulator hardware corrosion detecting method and detection are in fact
Test data system.
Background technology
As extra high voltage direct current transmission line run time increases, the insulator on transmission line of electricity is in running
It is middle through electromechanical load, expose to the sun and rain, under the effect such as thermal change, the metal-ware of insulator end can corrode.Insulation interest
Tool corrosion will directly affect the mechanical strength and end seal structure of insulator, jeopardize safety of the insulator in transmission line of electricity
Operation, and then influence the electric power safety of power network.Especially for the severe area of China's part weather conditions, there is multiple in 1 year
Extreme weather conditions period, different periods insulator hardware extent of corrosion has certain otherness.Therefore, research is probed into different
Insulator metal accessory corrosive nature is most important under weather conditions.
In the prior art, metal-ware corrosive nature is examined using the experimental technique of simulation extreme weather conditions generally
Survey.In experimental simulation, researcher is sampled to the insulator of different regions first, the extent of corrosion of macroscopic view detection sample,
Again by adjusting the variables such as experiment humidity, experimental temperature in experimental situation, different bad weather circumstances are simulated, observe and measure
High direct voltage output valve and Leakage Current value of the sample under different etching times section, it follows that the corrosive nature of sample.
As can be seen that the detection of existing metal-ware corrosive nature from the above-mentioned corrosive nature detection method to metal-ware
Method needs researcher repeatedly to record the sample detection information under sample message and record different time sections, causes sample to be followed the trail of
Detection efficiency is low, the detection information circulation comparative difference of process data.Meanwhile, existing sample message circulation process there is also nothing
Method carries out the problem of real-time detection to the corrosion process of sample, have impact on the operating efficiency of metal-ware corrosive nature detection, no
Beneficial to development Experimental comparison.
The content of the invention
It is existing to solve this application provides a kind of insulator hardware corrosion detecting method and test experience data system
Metal-ware corrosive nature detection method needs researcher repeatedly to record the sample detection under sample message and different time sections
Information, causes sample trace detection efficiency low, the problem of the detection information circulation comparative difference of process data.
In a first aspect, this application provides a kind of insulator hardware corrosion detecting method, the method includes：Obtain detection letter
Breath, detection information includes the intrinsic parameter and test parameter of sample；Obtain corrosion criterion interval；According to corrosion criterion
It is interval where interval judgement test parameter, obtain the judged result of insulator hardware corrosion condition；Detection information is tied with judgement
Fruit is stored to property data base.
Preferably, the intrinsic parameter of sample include sample material, hang, parameter model, experiment humidity, experimental temperature,
Experiment duration and high direct voltage output valve；Sample test parameter includes Leakage Current value.
Preferably, obtaining detection information method includes：Judge whether detection information is effective information；If detection information is
Effective information, retains detection information；If detection information is not effective information, detection information is reacquired；Wherein, effective information
It is the information of intrinsic parameter and test parameter in effective range.
Preferably, obtaining detection information method also includes, according to the time sequencing for obtaining detection information, detection information is entered
Row classification, obtains classification information.
Preferably, obtaining corrosion criterion interval method includes：Determine whether to login authority；If logining power
Limit, typing corrosion criterion is interval；Wherein, corrosion criterion is interval includes not corroding interval, mild corrosion interval, moderate
Corrosion is interval and severe corrosion is interval.
Preferably, judged result includes：The corrosion of non-burn into mild corrosion, moderate corrosion and severe.
Preferably, detection information and judged result are stored to property data base, is also included：Derive and intrinsic parameter pair
The test parameter and judged result answered.
Second aspect, this application provides a kind of insulator hardware Corrosion monitoring experimental data system, the system includes：Number
According to import modul, for obtaining detection information；Corrosion criterion interval acquisition module, for obtaining corrosion criterion area
Between；Data judge module, the judged result for obtaining insulator hardware corrosion condition；Property data base, detects for storing
Information and judged result.
Preferably, insulator hardware Corrosion monitoring experimental data system also includes：Data check module, for judging to detect
Whether information is effective information；Data categorization module, for according to the time sequencing for obtaining detection information, being carried out to detection information
Classification.
Preferably, insulator hardware Corrosion monitoring experimental data system also includes：Data inquiry module, for inquiring about difference
Judged result under intrinsic parameter；Data export module, for deriving the corresponding test parameter of intrinsic parameter and judged result.
The insulator hardware corrosion detecting method provided from above technical scheme, the disclosure and test experience data system
System, by obtaining the detection information of the intrinsic parameter of sample and test parameter, according to corrosion criterion interval judgement test parameter
Place is interval, judges and obtain the judged result of insulator hardware corrosion condition, and detection information and judged result are stored to spy
In levying database.Researcher can inquire about in database and transfer the test parameter of different intrinsic Parameter Samples and judge knot
Really, horizontal comparison is carried out to sample etches situation under same sample different experimental conditions, when also can be different to same laboratory sample
Between corrosion condition be tracked, sample trace detection efficiency is low in solving insulator hardware corrosion experiment, detection information stream
Turn the problem of the comparative difference of process data.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme of the application, letter will be made to the accompanying drawing to be used needed for embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without having to pay creative labor,
Other accompanying drawings can also be obtained according to these accompanying drawings.
A kind of insulator hardware corrosion detecting method flow chart that Fig. 1 is provided for the application；
A kind of insulator hardware Corrosion monitoring experimental data system structure diagram that Fig. 2 is provided for the application.
Specific embodiment
In order that those skilled in the art more fully understand the technical scheme in the present invention, below in conjunction with of the invention real
The accompanying drawing in example is applied, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described implementation
Example is only a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, this area is common
The every other embodiment that technical staff is obtained under the premise of creative work is not made, should all belong to protection of the present invention
Scope.
Referring to Fig. 1, for a kind of insulator hardware corrosion detecting method flow chart that the application is provided.Insulator hardware corrodes
Detection method includes：
Step S101：Detection information is obtained, detection information includes the intrinsic parameter and test parameter of sample；
Wherein, the intrinsic parameter of sample includes sample material, hang, parameter model, experiment humidity, experimental temperature, reality
Test duration and high direct voltage output valve；Sample test parameter includes Leakage Current value.In the present embodiment, No. 1 sample to be detected
Be composite insulator, hang is that Rectangular Tunnel hangs and installs, parameter model XP-4.5 (X- suspension insulators, P- according to
Mechanical strength represents insulator, 4.5- mechanical strength 45KN).The experiment humidity of sample environment residing in an experiment be 45%,
Experimental temperature be 20 DEG C, experiment when a length of 48h.After No. 1 sample etches, researcher is when extent of corrosion is tested to insulator
The high direct voltage input value that two ends apply is 380kV, and now No. 1 sample maximum Leakage Current is that test parameter is 6.25mA.Should
Work as explanation, those skilled in the art can set detection information according to actual experiment result, and it belongs to protection model of the invention
Enclose.
The specific method for obtaining detection information includes：
Step S1011：Judge whether detection information is effective information；
Wherein, effective information is the information of intrinsic parameter and test parameter in effective range.It is effective in the present embodiment
Scope refers to：Sample material is the one kind in composite insulator, ceramic insulator or metallic insulator；Hang is rectangle tunnel
During road suspension is installed, circular tunnel suspension is installed, horse-shoe tunnel suspension is installed or horizontal bracket formula overhead rigid suspension is installed
One kind；One kind in the existing insulator model of parameter model, such as XP-4.5 or QBZ2-25/8D；Testing humidity range is
0-100%；Experimental temperature scope is -60 DEG C of (- 30 DEG C)；Experiment duration scope is 0-1000h；High direct voltage output valve scope is
0-420kV；Leakage Current is 0-2A.It should be noted that those skilled in the art can set detection letter according to actual experiment result
The effective range of breath, it belongs to protection scope of the present invention.
Step S1012：If detection information is effective information, retain detection information；
If all intrinsic parameter and test parameter in detection information specify in effective range in S1011, system
Retain detection information, and point out user input success.
Step S1013：If detection information is not effective information, detection information is reacquired；
If a certain parameter in intrinsic parameter and test parameter in detection information is beyond effective model specified in S1011
In enclosing, system judges that this parameter is wrong, points out importer to change this parameter values, that is, reacquire detection information.
The specific method for obtaining detection information also includes：Step S1014：It is right according to the time sequencing for obtaining detection information
Detection information is classified, and obtains classification information.Specially：No. 1 detection information entry time of sample is 2016/12/19-
14:No. 00,2 detection information entry time of sample is 2016/12/19-15:00, then classification information be：2016/12/19-14:
No. 1 sample and 2016/12/19-15 of 00 typing:No. 2 samples of 00 typing.Classification information act as help researcher couple
The sample message of corresponding time point typing carries out category filter, with the typing situation of checking experiment sample.
Step S102：Obtain corrosion criterion interval；
In the embodiment of the present invention, obtaining corrosion criterion interval method includes：
Determine whether to login authority；If logining authority, typing corrosion criterion is interval.Login the differentiation of authority
Realized by the admin certifications set in system：If user is by admin certifications, user has and logins authority, Ke Yilu
Enter to corrode criterion interval；If user is not by admin certifications, user only can to being input into detection information in system,
It is interval without typing corrosion criterion in normal direction system.
Wherein, criterion is corroded interval rotten including not corroding interval interval, mild corrosion, moderate corrosion interval and severe
Erosion is interval.Researcher formulates the corrosion criterion of different samples according to the difference of the intrinsic parameter of sample.1 in the present embodiment
The interval range that do not corrode of number sample is：0-0.2mA；Mild corrosion interval is：0.2-3mA；Moderate corrosion interval is：3-
10mA；Severe corrosion interval is：More than 10mA.
Step S103：It is interval according to where corrosion criterion interval judgement test parameter, obtain insulator hardware corrosion
The judged result of situation；
Wherein, judged result includes：The corrosion of non-burn into mild corrosion, moderate corrosion and severe, corresponds to corrosion and judges respectively
Interval, mild corrosion is interval, moderate corrosion is interval and severe corrosion is interval for not corroding in standard interval.I.e. test parameter falls
The sample judged result in interval is not corroded not corrode；Test parameter fall mild corrosion interval in sample judged result be
Mild corrosion；The sample judged result that test parameter falls in moderate corrosion interval is moderate corrosion；Test parameter falls in severe
Sample judged result in corrosion interval is severe corrosion.In the present embodiment, No. 1 test parameter of sample is 6.25mA, is fallen into
The corrosion criterion of moderate corrosion is interval, and its judged result is moderate corrosion.
Step S104：Detection information and judged result are stored to property data base.All records are preserved in property data base
Enter the detection information and the judged result corresponding with its detection information of sample.
Detection information and judged result are stored to property data base, system can derive survey corresponding with intrinsic parameter
Examination parameter and judged result.Derivation form is EXCEL forms or TXT forms.
A kind of insulator hardware Corrosion monitoring experimental data system structure diagram that Fig. 2 is provided for the application.Insulator
Gold utensil Corrosion monitoring experimental data system includes：
Data import modul, for obtaining detection information in step S101, detection information include the intrinsic parameter of sample and
Test parameter.System obtains the detection information of the sample that user provides by data import modul.
Corrosion criterion interval acquisition module, it is interval for obtaining corrosion criterion in step S102.System passes through
Corrosion criterion interval acquisition module obtains the corrosion criterion interval that user provides.Wherein, corrosion criterion is interval
Including not corroding, interval, mild corrosion is interval, moderate corrosion is interval and severe corrosion is interval.
Data judge module, the judged result of insulator hardware corrosion condition is obtained for step S103；
Property data base, for storing detection information and judged result in step S104.Preserved in property data base all
The detection information of typing sample and the judged result corresponding with its detection information.
Insulator hardware Corrosion monitoring experimental data system also includes：
Data check module, for judging whether detection information is effective information in step S1011.Wherein, effective information
It is the information of intrinsic parameter and test parameter in effective range.
Data categorization module, for, according to the time sequencing for obtaining detection information, being carried out to detection information in step S1014
Classification.
Data inquiry module, for inquiring about the judged result under different intrinsic parameters.User can enter insulation interest
After tool Corrosion monitoring experimental data system, according to sample material, hang, parameter model, experiment temperature in property data base
The test datas such as degree, experiment humidity, high direct voltage output valve and experiment duration are inquired by classification to sample judged result.Inquiry
When, a key element or the multinomial key element of simultaneous selection may be selected carries out screening inquiry, for example, user can inquire about institute in database
There is insulation experimental result of the insulator of sample model XP-4.5 at 20 DEG C, now database will show all parameter models
It is the intrinsic parameter of sample that XP-4.5, experimental temperature are 20 DEG C, test parameter and judged result.And for example, user can inquire about
Extent of corrosion situation of change of the same sample under different etching times, user can inquire about sample model in database
The insulator of XP-4.5 at 20 DEG C etching time be 1h, 24h and 48h when judged result.
Data export module, for deriving the corresponding test parameter of intrinsic parameter and judged result.By detection information with sentence
Disconnected result is stored to property data base, and system can derive test parameter corresponding with intrinsic parameter and judged result.Derive
Form is EXCEL forms or TXT forms.
When there is network, user can enter insulator hardware Corrosion monitoring through internet by subscriber authentication
Experimental data system, downloads test data, while all previous test data that do-it-yourself is crossed can be uploaded by internet.Gold utensil is rotten
Property data base in erosion test experience data system will provide personal test data and preserve function.Do not meet convention, exist it is bright
Aobvious mistake, input error, form be incorrect etc., and experiment, test product data will be unable to be uploaded in system by step S101.User
Can be by the system reviews all previous test data of former years day part.Gold utensil Corrosion monitoring experimental data system can make data query
Without being confined in particular range, there is login system by internet, stepped on by system by the administrator of admin certifications
Land can be carried out corroding the interval formulation work of criterion, and domestic consumer is logged in by cloud platform and can carry out system experimentation number
It is investigated that the work such as inquiry, gold utensil Corrosion monitoring.
The insulator hardware corrosion detecting method provided from above technical scheme, the disclosure and test experience data system
System, by obtaining the detection information of the intrinsic parameter of sample and test parameter, according to corrosion criterion interval judgement test parameter
Place is interval, judges and obtain the judged result of insulator hardware corrosion condition, and detection information and judged result are stored to spy
In levying database.Researcher can inquire about in database and transfer the test parameter of different intrinsic Parameter Samples and judge knot
Really, horizontal comparison is carried out to sample etches situation under same sample different experimental conditions, when also can be different to same laboratory sample
Between corrosion condition be tracked, sample trace detection efficiency is low in solving insulator hardware corrosion experiment, detection information stream
Turn the problem of the comparative difference of process data.
In implementing, the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium can be stored
There is program, the program may include the part or all of step in each embodiment of the method for calling of the present invention offer when performing.Institute
The storage medium stated can be magnetic disc, CD, read-only memory (English：Read-only memory, referred to as：ROM) or with
Machine storage memory (English：Random access memory, referred to as：RAM) etc..
It is required that those skilled in the art can be understood that the technology in the embodiment of the present invention can add by software
The mode of general hardware platform realize.Based on such understanding, the technical scheme in the embodiment of the present invention substantially or
Say that the part contributed to prior art can be embodied in the form of software product, the computer software product can be deposited
Storage in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are used to so that computer equipment (can be with
It is personal computer, server, or network equipment etc.) perform some part institutes of each embodiment of the invention or embodiment
The method stated.
In this specification between each embodiment identical similar part mutually referring to.Especially for ... implement
For example, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring in embodiment of the method
Explanation.
Invention described above implementation method is not intended to limit the scope of the present invention..
Claims (10)
1. a kind of insulator hardware corrosion detecting method, it is characterised in that the insulator hardware corrosion detecting method includes：
Detection information is obtained, the detection information includes the intrinsic parameter and test parameter of sample；
Obtain corrosion criterion interval；
It is interval where the test parameter according to the corrosion criterion interval judgement, obtain insulator hardware corrosion condition
Judged result；
The detection information is stored to property data base with the judged result.
2. a kind of insulator hardware corrosion detecting method as claimed in claim 1, it is characterised in that the intrinsic parameter of sample
Including sample material, hang, parameter model, experiment humidity, experimental temperature, experiment duration and high direct voltage output valve；
The sample test parameter includes Leakage Current value.
3. a kind of insulator hardware corrosion detecting method as claimed in claim 1, it is characterised in that obtain the detection information
Method includes：
Judge whether the detection information is effective information；
If the detection information is effective information, retain the detection information；
If the detection information is not effective information, the detection information is reacquired；
Wherein, the effective information is the information of the intrinsic parameter and test parameter in effective range.
4. a kind of insulator hardware corrosion detecting method as claimed in claim 3, it is characterised in that obtain the detection information
Method also includes, according to the time sequencing for obtaining the detection information, the detection information is classified, obtains classification and believe
Breath.
5. a kind of insulator hardware corrosion detecting method as claimed in claim 1, it is characterised in that obtain corrosion criterion
Interval method includes：
Determine whether to login authority；If logining authority, corrosion criterion is interval described in typing；Wherein, the corrosion
Criterion is interval including not corroding interval interval, mild corrosion, moderate corrosion interval and severe corrosion interval.
6. a kind of insulator hardware corrosion detecting method as claimed in claim 5, it is characterised in that the judged result bag
Include：The corrosion of non-burn into mild corrosion, moderate corrosion and severe.
7. a kind of insulator hardware corrosion detecting method as claimed in claim 1, it is characterised in that by the detection information with
The judged result is stored to property data base, is also included：
Derive the test parameter corresponding with the intrinsic parameter and judged result.
8. a kind of insulator hardware Corrosion monitoring experimental data system, it is characterised in that the insulator hardware Corrosion monitoring reality
Testing data system includes：
Data import modul, for obtaining the detection information；
Corrosion criterion interval acquisition module, it is interval for obtaining corrosion criterion；
Data judge module, the judged result for obtaining insulator hardware corrosion condition；
Property data base, for storing the detection information with the judged result.
9. insulator hardware Corrosion monitoring experimental data system according to claim 8, it is characterised in that the insulator
Gold utensil Corrosion monitoring experimental data system also includes：
Data check module, for judging whether the detection information is effective information；
Data categorization module, for according to the time sequencing for obtaining detection information, classifying to the detection information.
10. insulator hardware Corrosion monitoring experimental data system according to claim 8, it is characterised in that the insulation
Interest tool Corrosion monitoring experimental data system also includes：
Data inquiry module, for inquiring about the judged result under the different intrinsic parameters；
Data export module, for deriving the corresponding test parameter of the intrinsic parameter and judged result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710130805.1A CN106908372A (en) | 2017-03-07 | 2017-03-07 | A kind of insulator hardware corrosion detecting method and test experience data system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710130805.1A CN106908372A (en) | 2017-03-07 | 2017-03-07 | A kind of insulator hardware corrosion detecting method and test experience data system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106908372A true CN106908372A (en) | 2017-06-30 |
Family
ID=59186915
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710130805.1A Pending CN106908372A (en) | 2017-03-07 | 2017-03-07 | A kind of insulator hardware corrosion detecting method and test experience data system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106908372A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111241063A (en) * | 2020-01-10 | 2020-06-05 | 刘林 | Experimental data management method convenient for data collection |
| CN112414929A (en) * | 2020-11-09 | 2021-02-26 | 中国兵器工业第五九研究所 | Metal corrosion assessment method, device and system and electronic equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101666737A (en) * | 2008-09-02 | 2010-03-10 | 联想(北京)有限公司 | Method for detecting corrosiveness of electronic-equipment application environment, and corresponding electronic equipment |
| CN102435812A (en) * | 2011-09-22 | 2012-05-02 | 广东电网公司深圳供电局 | Insulator leakage current collecting ring and insulator leakage current collecting device |
| CN103048260A (en) * | 2012-12-29 | 2013-04-17 | 南方电网科学研究院有限责任公司 | Electrocorrosion acceleration test method for DC porcelain insulator iron cap |
| CN203275259U (en) * | 2012-12-29 | 2013-11-06 | 南方电网科学研究院有限责任公司 | Direct current porcelain insulator gossan electrocorrosion acceleration test apparatus |
| CN103674827A (en) * | 2013-11-18 | 2014-03-26 | 国家电网公司 | Test device and method for testing electrolytic corrosion of metal accessories of insulators |
| CN104122192A (en) * | 2014-07-02 | 2014-10-29 | 上海大学 | A device and a method for detecting metal corrosion status |
| CN204347125U (en) * | 2015-01-28 | 2015-05-20 | 西南交通大学 | A kind of system for monitoring leakage current of novel high speed motor train unit insulator |
| CN105466841A (en) * | 2014-09-09 | 2016-04-06 | 华为技术有限公司 | Corrosion detection method, corrosion detection apparatus and corrosion detection system |
-
2017
- 2017-03-07 CN CN201710130805.1A patent/CN106908372A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101666737A (en) * | 2008-09-02 | 2010-03-10 | 联想(北京)有限公司 | Method for detecting corrosiveness of electronic-equipment application environment, and corresponding electronic equipment |
| CN102435812A (en) * | 2011-09-22 | 2012-05-02 | 广东电网公司深圳供电局 | Insulator leakage current collecting ring and insulator leakage current collecting device |
| CN103048260A (en) * | 2012-12-29 | 2013-04-17 | 南方电网科学研究院有限责任公司 | Electrocorrosion acceleration test method for DC porcelain insulator iron cap |
| CN203275259U (en) * | 2012-12-29 | 2013-11-06 | 南方电网科学研究院有限责任公司 | Direct current porcelain insulator gossan electrocorrosion acceleration test apparatus |
| CN103674827A (en) * | 2013-11-18 | 2014-03-26 | 国家电网公司 | Test device and method for testing electrolytic corrosion of metal accessories of insulators |
| CN104122192A (en) * | 2014-07-02 | 2014-10-29 | 上海大学 | A device and a method for detecting metal corrosion status |
| CN105466841A (en) * | 2014-09-09 | 2016-04-06 | 华为技术有限公司 | Corrosion detection method, corrosion detection apparatus and corrosion detection system |
| CN204347125U (en) * | 2015-01-28 | 2015-05-20 | 西南交通大学 | A kind of system for monitoring leakage current of novel high speed motor train unit insulator |
Non-Patent Citations (3)
| Title |
|---|
| 张福增等: "特高压直流瓷绝缘子铁帽加速电腐蚀试验", 《电网技术》 * |
| 赵君龙等: "高压绝缘子在线检测与故障诊断方法", 《桂林电子科技大学学报》 * |
| 金毅、蔡炜: "直流绝缘子耐腐蚀性能分析", 《电瓷避雷器》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111241063A (en) * | 2020-01-10 | 2020-06-05 | 刘林 | Experimental data management method convenient for data collection |
| CN112414929A (en) * | 2020-11-09 | 2021-02-26 | 中国兵器工业第五九研究所 | Metal corrosion assessment method, device and system and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113792495B (en) | Lightning arrester operation state identification method and device based on online monitoring data | |
| CN112255484B (en) | Lightning arrester operation state online monitoring and assessment method and system | |
| CN111690938B (en) | Cathode protection intelligent control method and system | |
| CN109918854B (en) | Composite insulation cross arm durability evaluation method and device | |
| CN108733569A (en) | A kind of automatic interface testing method, device, storage medium and equipment | |
| CN105719094A (en) | State evaluation method of power transmission equipment | |
| CN106908372A (en) | A kind of insulator hardware corrosion detecting method and test experience data system | |
| CN106443388A (en) | Electric tree channel partial discharge analyzing system based on LabVIEW | |
| CN113655098A (en) | Current test-based method for measuring micro-water content of silicone oil for cable terminal | |
| de Oliveira et al. | Voltage sags: Validating short-term monitoring by using long-term stochastic simulation | |
| CN113553783A (en) | Lossless lightning arrester temperature rise measuring system and method | |
| Li et al. | Degradation-path model for wood pole asset management | |
| CN105843736B (en) | Test method of power system state estimation software | |
| KR101600698B1 (en) | System and Method for Predicting Life of Power Transformer | |
| CN115481806A (en) | Cable residual life online prediction method and device based on correlation coefficient retention rate | |
| CN109580464A (en) | A method of detection evaluation grid equipment coating quality | |
| CN108491862A (en) | A kind of transformer equipment sensor group data fusion and wireless assemblage method and system | |
| CN111505445B (en) | Credibility detection method and device for mutual-user relationship of transformer area and computer equipment | |
| CN113158452A (en) | Lightning arrester defect reason analysis method and system based on support vector machine | |
| CN113128024A (en) | Low-voltage electricity stealing client based on big data analysis and electricity stealing means determining method | |
| Mehdi et al. | Static Modelling of Loads in Country Level with Big Data in Scandinavia | |
| CN115291652B (en) | Dynamic evaluation method for evaluating CPU physique of concentrator | |
| CN113884764B (en) | Early warning method of monitoring system for harmonic fluctuation of distribution cable | |
| CN116381389A (en) | Self-checking operation and maintenance method of zinc oxide arrester | |
| CN109388829A (en) | A kind of electronic product service life measuring method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170630 |