CN105548747A - Equipment fault identification system and method based on infrared temperature measurement technology - Google Patents
Equipment fault identification system and method based on infrared temperature measurement technology Download PDFInfo
- Publication number
- CN105548747A CN105548747A CN201510891528.7A CN201510891528A CN105548747A CN 105548747 A CN105548747 A CN 105548747A CN 201510891528 A CN201510891528 A CN 201510891528A CN 105548747 A CN105548747 A CN 105548747A
- Authority
- CN
- China
- Prior art keywords
- equipment
- temperature
- infrared
- fault
- temperature difference
- 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
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000005516 engineering process Methods 0.000 title claims abstract description 19
- 238000009529 body temperature measurement Methods 0.000 title abstract description 6
- 238000007405 data analysis Methods 0.000 claims abstract description 24
- 238000001514 detection method Methods 0.000 claims abstract description 24
- 230000002159 abnormal effect Effects 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 238000005259 measurement Methods 0.000 claims description 25
- 238000007689 inspection Methods 0.000 claims description 17
- 239000000523 sample Substances 0.000 claims description 14
- 238000010438 heat treatment Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 abstract description 7
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 abstract description 3
- 230000009466 transformation Effects 0.000 abstract description 2
- 230000001131 transforming effect Effects 0.000 description 5
- 230000008901 benefit Effects 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
Abstract
The invention discloses an equipment fault identification system and method based on an infrared temperature measurement technology. A infrared temperature measurement information acquisition module acquires information of equipment; the acquired infrared temperature measurement information is uploaded to a big data analysis platform, and the big data analysis platform calculates a relative temperature difference of an equipment detection area; the calculated relative temperature difference of the equipment detection area is compared with a relative temperature difference of a preset typical fault case library which serves as a fault criterion, thereby judging the fault type corresponding to abnormal heat emission of the equipment; and the big data analysis platform displays the fault type obtained by analysis on a monitoring interface, and displays an infrared detection image of the equipment with abnormal heat emission on the monitoring interface. The invention realizes a system capable of automatically identifying a fault of electric power transmission and transformation equipment, considers influence of surrounding environmental conditions, and through a relative temperature difference judging method, automatically judges the running state and fault information of electrical equipment, and realizes on-line rapid detection of the running state of the electrical equipment.
Description
Technical field
The present invention relates to power transmission and transforming equipment fortune inspection industry, particularly relate to a kind of equipment failure recognition system based on infrared temperature-test technology and method.
Background technology
The running status of power transmission and transforming equipment directly affects safety and the benefit of electric system, is in operation once there is abnormal duty, directly will affects the power supply of electrical network, except rehabilitation expense greatly except, also can cause larger direct economic loss.Temperature is the important parameter that equipment normally runs, and power equipment breaks down the obvious thermal source position of Shi Douyou with thermal phenomenon.
For the potential faults that equipment exists, adopt infrared detection technology at present more.Because infrared detection technology can obtain the running state information of equipment with remote, noncontact, real-time, quick on-line monitoring mode, have resolution high, visual in image, not by electromagnetic interference (EMI), safe and reliable and benefit/output investment ratio advantages of higher, can not having a power failure, do not sample, carry out under the situation of not disintegrating the diagnostic analysis of fault, therefore, infrared diagnosis technology obtains comparatively widespread use in electric system.But for the infrared detection of equipment, the method usually adopting human at periodic intervals to patrol and examine at present, carries infrared measurement of temperature equipment by operations staff, carries out fixed point thermometric to equipment.But this method wastes time and energy, and easily cause flase drop or undetected.Therefore a kind of equipment failure method for quickly identifying based on infrared temperature-test technology is developed very necessary.
Summary of the invention
For solving the deficiency that prior art exists, the invention discloses a kind of equipment failure recognition system based on infrared temperature-test technology and method, the present invention passes through infrared temperature measurement apparatus, obtain the information such as infrared detection image and infrared measurement of temperature data, upload to large Data Analysis Platform, analysis platform processes data, identify, analyze, and compares with temperature threshold, the abnormal warning realizing real-time online when occurring.
For achieving the above object, concrete scheme of the present invention is as follows:
Based on an equipment failure recognition methods for infrared temperature-test technology, comprise the following steps:
1) infrared measurement of temperature information acquisition module carries out the collection of information to equipment, the view data of equipment, infrared temperature data and scene temperature/humidity data;
2) the infrared measurement of temperature information gathered in step one is uploaded to large Data Analysis Platform, by the relative temperature difference of large Data Analysis Platform computing equipment surveyed area;
3) relative temperature difference in the equipment Inspection region calculated in step 2 and the relative temperature difference as the default typical fault case library of failure criterion are compared, and then the fault type that judgment device abnormal heating is corresponding;
4) large Data Analysis Platform is presented on monitoring interface by analyzing the fault type obtained, and is presented on monitoring interface by the equipment infrared detection image of abnormal heating simultaneously.
Further, described infrared measurement of temperature information acquisition module, power equipment video image acquisition is combined with infrared temperature probe, realize the collection to appointed area video image and temperature data by camera and infrared temperature probe, and send vedio data, infrared temperature data and scene temperature/humidity data to large Data Analysis Platform by wireless network and Ethernet.
Further, the relative temperature difference in described equipment Inspection region, adopts following formula to calculate:
T'＝(T1-T2)/(T1-T0)*100％，
Wherein, T1 represents heat generating spot maximum temperature, and T2 represents the normal point temperature that electrical equipment is corresponding, and T0 represents environment reference temperature, the relative temperature difference of T' indication equipment surveyed area.Above-mentioned parameter T1, T2, T0 are all obtained by infrared measurement of temperature information acquisition module.
Further, described default typical fault case library, comprise the image of the infrared detection data corresponding with equipment, infrared measurement of temperature region, infrared measurement of temperature data and environment temperature/humidity data, and calculate the relative temperature difference in gained equipment Inspection region, a kind of typical equipment heating fault that different relative temperature differences is corresponding.
Further, described failure criterion is | T-T'|<k σ, then judges this kind of typical fault type occurs when meeting this failure criterion;
Wherein, T is the relative temperature difference that typical fault storehouse fault case is corresponding, and T' is the relative error in the equipment Inspection region of current calculating gained, and wherein σ is the standard deviation of fault sample relative temperature difference, and k is arithmetic number.
A kind of equipment failure recognition system based on infrared temperature-test technology, comprise infrared measurement of temperature information acquisition module, power equipment video image acquisition combines with infrared temperature probe by described infrared measurement of temperature information acquisition module, realize the collection to appointed area video image and temperature data by camera and infrared temperature probe, and send view data, infrared temperature data and scene temperature/humidity data to large Data Analysis Platform by wireless network and Ethernet;
By the relative temperature difference of large Data Analysis Platform computing equipment surveyed area; The relative temperature difference in the equipment Inspection region of calculating and the relative temperature difference as the default typical fault case library of failure criterion are compared, and then the fault type that judgment device abnormal heating is corresponding; Large Data Analysis Platform is presented on monitoring interface by analyzing the fault type obtained, and is presented on monitoring interface by the equipment infrared detection image of abnormal heating simultaneously.
Beneficial effect of the present invention:
1. present invention achieves a kind of system that automatically can identify power transmission and transforming equipment fault, consider the impact of ambient environmental conditions, by relative temperature difference determining method, the operation conditions of this electrical equipment of automatic decision and failure message, achieve the operation conditions of on-line quick detection electrical equipment.
2. the equipment running status being applicable to power transmission and transformation fortune inspection industry detects, and fully can meet the demand of electrical network fortune inspection.
3. typical fault case library can constantly expand, and can constantly adapt to new demand.
Accompanying drawing explanation
Fig. 1 is workflow diagram of the present invention.
Embodiment:
Below in conjunction with accompanying drawing, the present invention is described in detail:
The present embodiment proposes a kind of equipment failure recognition methods based on infrared temperature-test technology and system, by infrared measurement of temperature information acquisition module and infrared temperature measurement apparatus, obtain the information such as infrared detection image and infrared measurement of temperature data, upload to large Data Analysis Platform, large Data Analysis Platform processes data, identifies, analyzes, compare with temperature threshold, during abnormal generation, realize the warning of real-time online.
Specific embodiments, as shown in Figure 1:
1) collection of infrared detection data message is carried out according to infrared measurement of temperature information acquisition module; Power equipment video image acquisition combines with infrared temperature probe by described infrared measurement of temperature information collecting device, realize the collection to appointed area video image and temperature data by camera and infrared temperature probe, and send view data, infrared temperature data and scene temperature/humidity data to large Data Analysis Platform by wireless network and Ethernet.Monitoring interface is by large data platform displaying scene video image, infrared measurement of temperature region, infrared measurement of temperature data and environment temperature/humidity data.
In the present embodiment, infrared detection data can set required parameter according to the actual requirements.
2) by infrared detection data upload extremely large Data Analysis Platform, by the relative temperature difference of large Data Analysis Platform computing equipment surveyed area; The relative temperature difference in described equipment Inspection region, following formula is adopted to calculate: T'=(T1-T2)/(T1-T0) * 100%, wherein, T1 represents heat generating spot maximum temperature, T2 represents the normal point temperature that electrical equipment is corresponding, T0 represents environment reference temperature, and T' represents the relative error in the equipment Inspection region of current calculating gained.
3) compare as failure criterion according to the relative temperature difference presetting typical fault case library, and then the fault type that judgment device abnormal heating is corresponding; Described equipment typical fault case library, presets, and comprises the image of infrared detection data corresponding to equipment, infrared measurement of temperature region, infrared measurement of temperature data and environment temperature/humidity data, and calculates the relative temperature difference in gained equipment Inspection region.A kind of typical equipment heating fault that different relative temperature differences is corresponding.In the present embodiment, G={A
1, A
2, A
3a
nrepresent case library, wherein A
i=[C
i, M
i, S
i] represent i-th case of case library.C
i=[C
i1, C
i2, C
i3c
in] represent case A
ifeature set, C
inrepresent case A
ithe n-th eigenwert.M
irepresent case A
iproblem describe, for illustration of device fault information in Infrared Fault Diagnosis case.S
irepresent the solution of case or the method for solution, fault handling scheme is described in infrared diagnostics case.In case library, typical case is that equipment failure in the past finds, the experience of process adds up, and be not general rule, in case library, each case represents a kind of electrical equipment fault state, separate between them.
In the present embodiment, described failure criterion is | T-T'|<k σ, then judges this kind of typical fault type occurs when meeting this failure criterion.Wherein T is the relative temperature difference that typical fault storehouse fault case is corresponding, and T' is the relative error in the equipment Inspection region of current calculating gained, and wherein σ is the standard deviation of fault sample relative temperature difference, and k is arithmetic number.
4) large Data Analysis Platform is presented on monitoring interface by analyzing the fault type obtained, and is presented on monitoring interface by the equipment infrared detection image of abnormal heating simultaneously.
For the present embodiment, its workflow is: gather power transmission and transforming equipment infrared detection information by infrared detecting device, the relative temperature difference of computing equipment surveyed area, according to failure criterion, determine the fault type of current detection equipment, achieve the fault of on-line monitoring and identification power transmission and transforming equipment.
For the present embodiment, consider the impact of ambient environmental conditions, by relative temperature difference determining method, the operation conditions of this electrical equipment of automatic decision and failure message, achieve the operation conditions of on-line quick detection electrical equipment.
By reference to the accompanying drawings the specific embodiment of the present invention is described although above-mentioned; but not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various amendment or distortion that creative work can make still within protection scope of the present invention.
Claims (6)
1., based on an equipment failure recognition methods for infrared temperature-test technology, it is characterized in that, comprise the following steps:
1) infrared measurement of temperature information acquisition module carries out the collection of information to equipment, the view data of equipment, infrared temperature data and scene temperature/humidity data;
2) by step 1) in gather infrared measurement of temperature information be uploaded to large Data Analysis Platform, by the relative temperature difference of large Data Analysis Platform computing equipment surveyed area;
3) using step 2) in the relative temperature difference in equipment Inspection region that calculates compare with as the relative temperature difference of the default typical fault case library of failure criterion, and then the fault type that judgment device abnormal heating is corresponding;
4) large Data Analysis Platform is presented on monitoring interface by analyzing the fault type obtained, and is presented on monitoring interface by the equipment infrared detection image of abnormal heating simultaneously.
2. a kind of equipment failure recognition methods based on infrared temperature-test technology as claimed in claim 1, it is characterized in that, described infrared measurement of temperature information acquisition module, power equipment video image acquisition is combined with infrared temperature probe, realize the collection to appointed area video image and temperature data by camera and infrared temperature probe, and send vedio data, infrared temperature data and scene temperature/humidity data to large Data Analysis Platform by wireless network and Ethernet.
3. a kind of equipment failure recognition methods based on infrared temperature-test technology as claimed in claim 1, is characterized in that the relative temperature difference in described equipment Inspection region adopts following formula to calculate:
T'＝(T1-T2)/(T1-T0)*100％，
Wherein, T1 represents heat generating spot maximum temperature, and T2 represents the normal point temperature that electrical equipment is corresponding, and T0 represents environment reference temperature, the relative temperature difference of T' indication equipment surveyed area.
4. a kind of equipment failure recognition methods based on infrared temperature-test technology as claimed in claim 1, it is characterized in that, described default typical fault case library, comprise the image of the infrared detection data corresponding with equipment, infrared measurement of temperature region, infrared measurement of temperature data and environment temperature/humidity data, and calculate the relative temperature difference in gained equipment Inspection region, a kind of typical equipment heating fault that different relative temperature differences is corresponding.
5. a kind of equipment failure recognition methods based on infrared temperature-test technology as claimed in claim 1, is characterized in that, described failure criterion is | T-T'|<k σ, then judges this kind of typical fault type occurs when meeting this failure criterion;
Wherein, T is the relative temperature difference that typical fault storehouse fault case is corresponding, and T' is the relative error in the equipment Inspection region of current calculating gained, and wherein σ is the standard deviation of fault sample relative temperature difference, and k is arithmetic number.
6. the equipment failure recognition system based on infrared temperature-test technology, it is characterized in that, comprise infrared measurement of temperature information acquisition module, power equipment video image acquisition combines with infrared temperature probe by described infrared measurement of temperature information acquisition module, realize the collection to appointed area video image and temperature data by camera and infrared temperature probe, and send view data, infrared temperature data and scene temperature/humidity data to large Data Analysis Platform by wireless network and Ethernet;
By the relative temperature difference of large Data Analysis Platform computing equipment surveyed area; The relative temperature difference in the equipment Inspection region of calculating and the relative temperature difference as the default typical fault case library of failure criterion are compared, and then the fault type that judgment device abnormal heating is corresponding; Large Data Analysis Platform is presented on monitoring interface by analyzing the fault type obtained, and is presented on monitoring interface by the equipment infrared detection image of abnormal heating simultaneously.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510891528.7A CN105548747A (en) | 2015-12-04 | 2015-12-04 | Equipment fault identification system and method based on infrared temperature measurement technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510891528.7A CN105548747A (en) | 2015-12-04 | 2015-12-04 | Equipment fault identification system and method based on infrared temperature measurement technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105548747A true CN105548747A (en) | 2016-05-04 |
Family
ID=55828068
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510891528.7A Pending CN105548747A (en) | 2015-12-04 | 2015-12-04 | Equipment fault identification system and method based on infrared temperature measurement technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105548747A (en) |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105467253A (en) * | 2015-12-30 | 2016-04-06 | 普天新能源有限责任公司 | Method and system for detecting electrical equipment online |
| CN105974249A (en) * | 2016-07-25 | 2016-09-28 | 肖锐 | Power transmission and transformation equipment monitoring system |
| CN106225933A (en) * | 2016-08-31 | 2016-12-14 | 徐工集团工程机械有限公司 | A kind of method for diagnosing faults and device |
| CN106774054A (en) * | 2016-11-25 | 2017-05-31 | 国网技术学院 | GIS device analysis system and method based on the identification of complicated unstructured data |
| CN107167497A (en) * | 2017-06-27 | 2017-09-15 | 北京必可测科技股份有限公司 | A kind of equipment fault detection method and system |
| CN107255518A (en) * | 2017-05-22 | 2017-10-17 | 大唐宝鸡热电厂 | Power transmission and transforming equipment monitoring system and method based on infrared imagery technique |
| CN107314817A (en) * | 2017-06-14 | 2017-11-03 | 浙江大华***工程有限公司 | The diagnostic method and device of a kind of electrical equipment fault |
| CN109030562A (en) * | 2016-10-26 | 2018-12-18 | 王琪 | The detection method of geared cable aging lateral position |
| CN109412173A (en) * | 2018-10-31 | 2019-03-01 | 国网江苏省电力有限公司太仓市供电分公司 | A kind of parallel capacitor complete equipment overheat method for early warning based on the temperature difference |
| CN109579914A (en) * | 2018-12-24 | 2019-04-05 | 国网山西省电力公司检修分公司 | A kind of operation conditions determination method, device, equipment and the medium of transmission line of electricity |
| CN110910383A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Phase modulator fault monitoring method and system based on infrared image recognition |
| CN111928945A (en) * | 2020-07-05 | 2020-11-13 | 上海纽盾科技股份有限公司 | Method, device and system for equipment evaluation in network security monitoring |
| CN112433547A (en) * | 2019-05-22 | 2021-03-02 | 河南工业职业技术学院 | Heat dissipation temperature control system for control cabinet |
| CN113091817A (en) * | 2021-04-06 | 2021-07-09 | 重庆大学 | Triethylene glycol dewatering device state monitoring and fault diagnosis system |
| CN113178054A (en) * | 2021-03-04 | 2021-07-27 | 南方电网深圳数字电网研究院有限公司 | Temperature detection method and system based on substation equipment and storage medium |
| CN113280927A (en) * | 2021-05-20 | 2021-08-20 | 中广核新能源蚌埠有限公司 | Variable pitch driver detection method and device |
| CN114399130A (en) * | 2021-11-05 | 2022-04-26 | 航天云网数据研究院(江苏)有限公司 | Space equipment group running state monitoring system with autonomous learning function |
| CN115306718A (en) * | 2022-07-15 | 2022-11-08 | 嘉洋智慧安全生产科技发展（北京）有限公司 | Method, apparatus, device, medium and program product for detecting screw compressor failure |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1500941A1 (en) * | 2003-07-23 | 2005-01-26 | Central Glass Company, Limited | Method for finding disconnection of conductive wires formed on plate glass and apparatus therefor |
| CN101477158A (en) * | 2009-02-12 | 2009-07-08 | 江苏省电力公司宿迁供电公司 | Recognition device and method for abnormal heating defect rank of electric power apparatus |
| CN102565625A (en) * | 2011-05-25 | 2012-07-11 | 上海大学 | Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image |
| CN104881819A (en) * | 2015-05-22 | 2015-09-02 | 国家电网公司 | Electrical equipment fault auxiliary diagnosis and intelligent analysis system based on electric thermal infrared spectrum |
| CN104977087A (en) * | 2015-07-10 | 2015-10-14 | 江苏省电力公司苏州供电公司 | Method for automatic early warning of power device fault based on infrared imaging and temperature measurement |
| CN104990629A (en) * | 2015-07-10 | 2015-10-21 | 江苏省电力公司苏州供电公司 | Infrared-imaging-and-temperature-measurement-based automatic early warning system for power equipment fault |
-
2015
- 2015-12-04 CN CN201510891528.7A patent/CN105548747A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1500941A1 (en) * | 2003-07-23 | 2005-01-26 | Central Glass Company, Limited | Method for finding disconnection of conductive wires formed on plate glass and apparatus therefor |
| CN101477158A (en) * | 2009-02-12 | 2009-07-08 | 江苏省电力公司宿迁供电公司 | Recognition device and method for abnormal heating defect rank of electric power apparatus |
| CN102565625A (en) * | 2011-05-25 | 2012-07-11 | 上海大学 | Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image |
| CN104881819A (en) * | 2015-05-22 | 2015-09-02 | 国家电网公司 | Electrical equipment fault auxiliary diagnosis and intelligent analysis system based on electric thermal infrared spectrum |
| CN104977087A (en) * | 2015-07-10 | 2015-10-14 | 江苏省电力公司苏州供电公司 | Method for automatic early warning of power device fault based on infrared imaging and temperature measurement |
| CN104990629A (en) * | 2015-07-10 | 2015-10-21 | 江苏省电力公司苏州供电公司 | Infrared-imaging-and-temperature-measurement-based automatic early warning system for power equipment fault |
Non-Patent Citations (2)
| Title |
|---|
| 崔昊: "基于大数据的运检培训技术研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 程玉兰: "《红外诊断现场实用技术》", 30 April 2002 * |
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105467253A (en) * | 2015-12-30 | 2016-04-06 | 普天新能源有限责任公司 | Method and system for detecting electrical equipment online |
| CN105974249A (en) * | 2016-07-25 | 2016-09-28 | 肖锐 | Power transmission and transformation equipment monitoring system |
| CN105974249B (en) * | 2016-07-25 | 2019-02-22 | 江苏未来智慧信息科技有限公司 | A kind of power transmission and transforming equipment monitoring system |
| CN106225933A (en) * | 2016-08-31 | 2016-12-14 | 徐工集团工程机械有限公司 | A kind of method for diagnosing faults and device |
| CN109030562A (en) * | 2016-10-26 | 2018-12-18 | 王琪 | The detection method of geared cable aging lateral position |
| CN106774054A (en) * | 2016-11-25 | 2017-05-31 | 国网技术学院 | GIS device analysis system and method based on the identification of complicated unstructured data |
| CN107255518A (en) * | 2017-05-22 | 2017-10-17 | 大唐宝鸡热电厂 | Power transmission and transforming equipment monitoring system and method based on infrared imagery technique |
| CN107314817A (en) * | 2017-06-14 | 2017-11-03 | 浙江大华***工程有限公司 | The diagnostic method and device of a kind of electrical equipment fault |
| CN107167497B (en) * | 2017-06-27 | 2023-08-08 | 北京必可测科技股份有限公司 | Equipment fault detection method and system |
| CN107167497A (en) * | 2017-06-27 | 2017-09-15 | 北京必可测科技股份有限公司 | A kind of equipment fault detection method and system |
| CN109412173A (en) * | 2018-10-31 | 2019-03-01 | 国网江苏省电力有限公司太仓市供电分公司 | A kind of parallel capacitor complete equipment overheat method for early warning based on the temperature difference |
| CN109579914A (en) * | 2018-12-24 | 2019-04-05 | 国网山西省电力公司检修分公司 | A kind of operation conditions determination method, device, equipment and the medium of transmission line of electricity |
| CN112433547A (en) * | 2019-05-22 | 2021-03-02 | 河南工业职业技术学院 | Heat dissipation temperature control system for control cabinet |
| CN112433547B (en) * | 2019-05-22 | 2022-02-15 | 石家庄华泰电力工具有限公司 | Heat dissipation temperature control system for control cabinet |
| CN110910383B (en) * | 2019-12-04 | 2022-06-10 | 江苏方天电力技术有限公司 | Phase modulator fault monitoring method and system based on infrared image recognition |
| CN110910383A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Phase modulator fault monitoring method and system based on infrared image recognition |
| CN111928945A (en) * | 2020-07-05 | 2020-11-13 | 上海纽盾科技股份有限公司 | Method, device and system for equipment evaluation in network security monitoring |
| CN113178054A (en) * | 2021-03-04 | 2021-07-27 | 南方电网深圳数字电网研究院有限公司 | Temperature detection method and system based on substation equipment and storage medium |
| CN113091817A (en) * | 2021-04-06 | 2021-07-09 | 重庆大学 | Triethylene glycol dewatering device state monitoring and fault diagnosis system |
| CN113280927A (en) * | 2021-05-20 | 2021-08-20 | 中广核新能源蚌埠有限公司 | Variable pitch driver detection method and device |
| CN114399130A (en) * | 2021-11-05 | 2022-04-26 | 航天云网数据研究院(江苏)有限公司 | Space equipment group running state monitoring system with autonomous learning function |
| CN115306718A (en) * | 2022-07-15 | 2022-11-08 | 嘉洋智慧安全生产科技发展（北京）有限公司 | Method, apparatus, device, medium and program product for detecting screw compressor failure |
| CN115306718B (en) * | 2022-07-15 | 2023-08-18 | 嘉洋智慧安全科技(北京)股份有限公司 | Screw compressor fault detection method, apparatus, device, medium and program product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105548747A (en) | Equipment fault identification system and method based on infrared temperature measurement technology | |
| US20220259947A1 (en) | Monitoring system and method for wellsite equipment | |
| CN104990629B (en) | A kind of electrical equipment fault automatic early-warning system of infrared imaging temperature measuring | |
| Huda et al. | Application of infrared thermography for predictive/preventive maintenance of thermal defect in electrical equipment | |
| CN103901072B (en) | Method for diagnosing equipment overheating defects by utilizing infrared spectrum analysis | |
| CN203337262U (en) | On-line imaging temperature measurement and detection system based on infrared technology | |
| CN104977087B (en) | A kind of method of the electrical equipment fault automatic early-warning based on infrared imaging temperature measuring | |
| CN110032093A (en) | A kind of engineering Electrical Safety management method of view-based access control model Internet of Things | |
| KR101940633B1 (en) | Real time monitoring system for railway vehicles | |
| CN105158678A (en) | Printed circuit board short-circuit fault rapid detection device | |
| CN116824731A (en) | Intelligent inspection method and equipment for thermal power plant | |
| CN117612345A (en) | Power equipment state monitoring and alarming system and method | |
| CN116152202A (en) | Equipment appearance detection system based on image recognition technology and infrared thermal imaging technology | |
| CN105978144A (en) | Infrared monitoring system for automatic cruise transformer station based on APP platform alarm | |
| CN105867267A (en) | Method for automatically reporting instrument readings of distribution station room through image identification technology | |
| CN109285331B (en) | Power cable temperature early warning system based on data analysis and temperature prediction | |
| CN117498225B (en) | Unmanned aerial vehicle intelligent power line inspection system | |
| CN112782504A (en) | Ventilation cooling ring main unit fault diagnosis method | |
| CN116433212A (en) | Fault identification processing method and related device for automatic inspection of power distribution room | |
| CN114279572A (en) | Electrical cabinet automatic inspection system based on infrared temperature measurement imaging | |
| CA3161056A1 (en) | A monitoring system and method for wellsite equipment | |
| CN114062923A (en) | Motor fault online advanced early warning system based on current magnetic signal and higher harmonic diagnosis technology | |
| CN113508503A (en) | Device for monitoring a switchgear | |
| Jadin et al. | Infrared thermography for assessing and monitoring electrical components within concrete structures | |
| Gan et al. | Dynamic Inspection Algorithm Based on Substation Inspection Robot |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20161207 Address after: 250002 Ji'nan City Central District, Shandong, No. 2 South Road, No. 500 Applicant after: State Grid of China Technology College Applicant after: STATE GRID HUBEI ELECTRIC POWER COMPANY Applicant after: State Grid Corporation of China Address before: 250002 Ji'nan City Central District, Shandong, No. 2 South Road, No. 500 Applicant before: State Grid of China Technology College |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160504 |