CN104990629A - Infrared-imaging-and-temperature-measurement-based automatic early warning system for power equipment fault - Google Patents
Infrared-imaging-and-temperature-measurement-based automatic early warning system for power equipment fault Download PDFInfo
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- CN104990629A CN104990629A CN201510401965.6A CN201510401965A CN104990629A CN 104990629 A CN104990629 A CN 104990629A CN 201510401965 A CN201510401965 A CN 201510401965A CN 104990629 A CN104990629 A CN 104990629A
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Abstract
The invention, which relates to the technical field of the detection and maintenance of the power equipment, discloses an infrared-imaging-and-temperature-measurement-based automatic early warning system for a power equipment fault. The system is composed of a signal acquisition unit, a platform server, automatic early warning processing software, and a human-computer interaction interface. The signal acquisition unit transmits a collected signal to the platform server; a user sets an instruction by the human-computer interaction interface; and feedback processing is carried out by the automatic early warning processing software and the platform server. According to the invention, the trend analysis of a reduced temperature of the infrared measurement temperature combined with environment and climate information is applied to determination of early warning of the infrared temperature measurement trend of the power equipment for the first time; the infrared measurement temperature is combined with the environment and climate information and the current load for the first time and then the hot spot temperature of the equipment maximum sustained load is calculated; and the index is used for carrying out a trend analysis to predict a temperature trend, thereby realizing precise and advanced early warning.
Description
Technical field
The present invention relates to electric device maintenance maintenance technique field.
Background technology
At present, China's economy is constantly fast-developing, and the electrical network also strong intelligent grid ranks of forward strides forward, and is namely major network with extra-high voltage, and different brackets electric network coordination develops, and the safe and stable operation of electric system is especially containing the basic guarantee kept the safety in production in interior every profession and trade in colliery.The feature that intelligent grid has " self-healing ", comprises following two aspects: first, and intelligent grid can promptly isolated fault automatically, and guarantees the power supply of normal section in time; Secondly, can on-line monitoring grid operating conditions, to the timely alarm of fault that it occurs, and adopt an effective means and remove a hidden danger, thus ensure the safe and reliable operation of electrical network, avoid the generation of electric network fault.
Thus, how utilizing high-tech intelligent means, carry out on-line monitoring, automatic fault detection to electrical network, timely abatement apparatus dangerous point, reduce destructive factor, and carry out systematization, standardized management, is the new problem of pendulum in face of electric system scientific research personnel.And transformer station is the important composition unit of power network, therefore studies substation equipment detection, with fault diagnosis technology, there is substantial worth, not only can reduce the incidence of accident, but also contribute to the raising of electric power netting safe running and reliability thereof.
In order to carry out security monitoring to Substation Electric Equipment, generally carried out the research of visible ray remote viewing system and planning both at home and abroad, and the technology such as coded image data, compression, transmission and information processing are quite ripe.But visible ray remote viewing system only can detect the external phenomenon of equipment, identical with the finding of naked eye of people, the phenomenon that can perceive when some naked eyes is once occur as situations such as explode, smolder, and now equipment failure just cannot stop and avoid.
In the past few years, start the application of active research infrared thermal imaging technique in electrical equipment both at home and abroad, mainly to detection and the Fault Identification judgement aspect thereof of equipment.At present, widely use a kind of commercial hand-held infrared radiation detection apparatus in electric system, it is specifically designed to the use detecting electrical equipment when operation maintenance personnel is maked an inspection tour.But also there is many deficiencies in this infrared radiation detection apparatus:
(1) hand-held infrared radiation detection apparatus is only maked an inspection tour in Substation Process staff and is used, not there is simultaneity, continuity and real-time, thus in-service monitoring and alarm can not be carried out to various equipment in station, also the automatic detection of fault cannot just be realized, from intelligentized goal discrepancy apart from larger.
(2) when carrying out fault diagnosis to equipment and identifying, due to through-put power and the temperature contrast that difference also can cause electrical equipment of environment, completely carrying out diagnosing according to the difference of temperature is not effective method, so need on this basis, according to the service data of electrical equipment, carry out the research to fault diagnosis expert system further.
Therefore, there is phenomenons such as reporting to the police not in time, report by mistake and fail to report all in various degree in existing all kinds of manual monitoring system, so that the security of system and practicality can not get ensureing.In addition, intelligent grid effectively facilitates advancing of substation equipment real-time online detection technique, and thus along with the fast development of intelligent grid, supervisory system will be more and more huger, if all adopt manual monitoring, its human cost also can be very expensive.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of electrical equipment fault automatic early-warning system of infrared imaging temperature measuring, and this system can Real-Time Monitoring, Temperature numerical by the amount of enhancing recursive regression modeling and forecasting, contrasts, realize trending early warning with alarm threshold value.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of electrical equipment fault automatic early-warning system of infrared imaging temperature measuring, comprise signal gathering unit, Platform Server, automatic early-warning process software and human-computer interaction interface, signal gathering unit sends the signal of collection to Platform Server, user sets instruction by human-computer interaction interface, and carries out feedback processing by automatic early-warning process software and Platform Server; Signal gathering unit comprises infrared imaging video camera, temperature sensor, humidity sensor and air velocity transducer, and infrared imaging video camera is used for identifying each surveyed area of power equipment, and sends the temperature of each surveyed area to Platform Server by NVR in real time; Temperature sensor, humidity sensor and air velocity transducer gather amblent air temperature information, and send the amblent air temperature information of collection to Platform Server by dynamic environment main frame.
Preferably, described infrared imaging video camera is binocular infrared imaging video camera.
Preferably, described Platform Server comprises video transmission server, central management server and intelligent automatic diagnosis alarm server, and all with human-computer interaction interface control linkage.
Preferably, described automatic early-warning process software comprises configuration definition unit, object segmentation unit, temperature extraction unit, failure diagnosis unit, database link unit, comprehensive distinguishing unit, and all suitable with Platform Server the docking of each unit.
The beneficial effect adopting technique scheme to produce is: the present invention is by using observed temperature trend analysis and early warning, reduced temperature trend analysis and early warning, maximum sustained load heat spot temperature trend is analyzed and early warning, the dynamic dataflow trend analysis algorithm of increment recursive least square method, generalized likelihood test cut-point trend fitting is predicted, abnormity point alarm tracing detection mechanism, system is based on infrared thermal imaging observed temperature, analyzed by the temperature difference, conversion is analyzed, Temperature Rise Analysis, comprehensively realize the accurate threshold alarm of power equipment thermometric, first the trend analysis of the reduced temperature of infrared measurement of temperature temperature combining environmental climatic information is applied in the judgement of power equipment infrared measurement of temperature trending early warning, first by infrared measurement of temperature temperature combining environmental climatic information and current loads, the heat spot temperature of the maximum sustained load of the equipment that calculates, and this index is carried out trend analysis, predicted temperature trend, realize further precisely and advanced early warning, adopt transformer station Infrared video image, in conjunction with current hi-tech image processing and analysis technology, can the view data that catches of automatic analysis thermal camera, realize continuous 24 hours real-time intelligents and monitor, when an anomaly occurs can Realtime Alerts and early warning.Reach and the detection of round-the-clock, intelligentized automatic video frequency and early warning are implemented to transformer station, will greatly reduce the workload of monitor staff, improve the real-time of affair alarm, promote substation safety and run emergency response capabilities; The present invention realizes the early warning for electrical equipment malfunction, effective minimizing electrical equipment accident number of times, the income of society can be increased on the other hand, reduce artificial workload, can play positive impetus in operation of power networks, maintenance cost, the quality of power supply etc., reliably, safely normally operation provides basic guarantee to the power equipment that is applied as of infrared imaging temperature measuring electrical equipment fault automatic early-warning technology.The areas case that system monitors as required, can arrange multiple infrared imaging device preset point, and carry out Object Segmentation, the thermometric information of each electrical equipment or its building block is deposited in a database, and carries out safe early warning according to simple rule.
Accompanying drawing explanation
Fig. 1 is the principle schematic of this infrared imaging temperature measuring electrical equipment fault automatic early-warning system;
Fig. 2 is principle flow chart of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As depicted in figs. 1 and 2, the present invention is a kind of electrical equipment fault automatic early-warning system of infrared imaging temperature measuring, comprise signal gathering unit, Platform Server, automatic early-warning process software and human-computer interaction interface, signal gathering unit sends the signal of collection to Platform Server, user sets instruction by human-computer interaction interface, and carries out feedback processing by automatic early-warning process software and Platform Server; Signal gathering unit comprises infrared imaging video camera, temperature sensor, humidity sensor and air velocity transducer, and infrared imaging video camera is used for identifying each surveyed area of power equipment, and sends the temperature of each surveyed area to Platform Server by NVR in real time; Temperature sensor, humidity sensor and air velocity transducer gather amblent air temperature information, and send the amblent air temperature information of collection to Platform Server by dynamic environment main frame; Described infrared imaging video camera is binocular infrared imaging video camera; Described Platform Server comprises video transmission server, central management server and intelligent automatic diagnosis alarm server, and all with human-computer interaction interface control linkage; Described automatic early-warning process software comprises configuration definition unit, object segmentation unit, temperature extraction unit, failure diagnosis unit, database link unit, comprehensive distinguishing unit, and all suitable with Platform Server the docking of each unit.
The present invention is a kind of electrical equipment fault automatic early-warning system of infrared imaging temperature measuring, and its implementation comprises the following steps:
1) by each surveyed area of thermal infrared imager identification power equipment, and the temperature T of each surveyed area is sent to Platform Server by NVR in real time; Identify each surveyed area of power equipment
2) gather amblent air temperature information by temperature, humidity, air velocity transducer, and send the amblent air temperature information of collection to Platform Server by dynamic environment main frame;
3) value of the temperature value of each surveyed area accepted and environment temperature, humidity, wind speed is converted by Platform Server, obtains the reduced temperature value of each surveyed area; Convert formula is as follows:
T
20＝βT
S+(20–T
0)/α
2(1)
Wherein: T
20-convert to equipment connection point overtemperature (DEG C) when 20 DEG C
T
sapparatus overheat point temperature (DEG C) during-test
T
0environment temperature (DEG C) during-test
α-temperature conversion factor
β-wind speed conversion factor
4) Platform Server binding operation interface arrange current loads, maximum sustained load and acquisition the infrared measurement of temperature temperature of each surveyed area, calculate the maximum sustained load heat spot temperature of each surveyed area; Maximum sustained load heat spot temperature computation formula is as follows:
T
max＝(T
S–T
0)e
(Imax-Is)/Is+T
S(2)
Wherein: T
maxheat spot temperature (DEG C) under-maximum sustained load state
T
sphysical device heat spot temperature (DEG C) in this loop during-measurement
T
0environment during-measurement is with reference to temperature (DEG C)
The maximum sustained load electric current that Imax-this loop often occurs in running
The actual load electric current in this loop during Is-measurement
ρ-temperature rise constant, 1.7 ~ 1.85 are got according to radiating condition and contact resistance nonlinearities change factor) Platform Server continues continuous load heat spot temperature combining environmental environment temperature to each surveyed area maximum, humidity, wind speed are converted, and obtains the reduced temperature of maximum sustained load heat spot temperature; Maximum sustained load heat spot temperature reduced temperature computing formula is as follows:
T
max20＝βT
max+(20–T
0)/α
2(3)
Wherein: T
max20the reduced temperature (DEG C) of-maximum sustained load heat spot temperature
T
maxheat spot temperature (DEG C) under-maximum sustained load state
T
0environment temperature (DEG C) during-test
α-temperature conversion factor
β-wind speed conversion factor
6) by T, T
20, T
max, T
max20four data groups, take time as X-axis, numerical value is Y-axis, carries out increment recursive regression modeling respectively, and the real time temperature measurement data group of each self-forming, as the basic data of trend analysis;
7) according to T, T
20, T
max, T
max20trend model, prediction T, T
20, T
max, T
max20the Temperature numerical will reached in following 1 hour, 1 day, 1 week, according to the Temperature numerical of prediction, contrasts with alarm threshold value, realizes trending early warning.
The foundation that current electric system utilizes infrared technique to carry out substation equipment fault diagnosis is DLT664-2008 " charging equipment infrared diagnostics using standard ", and this standard gives the method, instrument requirements, the instrument scope of application, the basis for estimation of defect and the administrative provisions etc. of infrared data that use thermal infrared imager detection charging equipment.This standard is applicable to each electric pressure equipment with voltage, current caused hot effect or other thermal effects, comprises motor, transformer, reactor, isolating switch, disconnector, mutual inductor, sleeve pipe, power capacitor, lightning arrester, power cable, bus, wire, insulator, combined electrical apparatus, low-voltage electrical apparatus and secondary circuit etc.Consider that present stage adopts infrared thermal imaging technique to carry out fault diagnosis mostly still based on hand-held infrared thermoviewer to power system device, the intelligent requirements of Real-Time Monitoring cannot be met, intelligent management is realized for guaranteeing that substation safety runs, propose the electrical equipment fault automatic early-warning system setting up a kind of infrared imaging temperature measuring, by the algorithm software of the Iamge Segmentation and registration technology that install research in real-time data base additional, the setting numerical value in DLT664-2008 " charging equipment infrared diagnostics using standard " is utilized to judge the bound of early warning as fault diagnosis in database, carry out preset in systems in which, by system automatic detecting, process, judge, realize the intelligent management to the early warning in future.
Transformer station mainly consists of: feed line (inlet wire, outlet) and bus, disconnector, grounding switch, isolating switch, power transformer (main transformer), voltage transformer (VT) TV (PT), current transformer TA (CT), lightning rod.In these transformer stations, any equipment occurs abnormal, and all can run substation safety and threaten, be all the object that this paper system is monitored.The loose contact of load tap changer can cause temperature rise, causes stage clip elasticity to weaken and makes the contact of joint worse, cause larger temperature rise, finally cause device damage; There is foreign matter and leakage field all can be caused to aggravate in transformer core distortion, connection loosing or oil circuit, causes transformer local temperature rise, finally cause device damage; Transformer oil roadlock plug can cause the temperature rise of transformer portion region, finally causes device damage; Isolating switch and isolation switch contact plucking can cause temperature rise to affect equipment life; Sleeve inner is connected loosening or wire strand breakage with cable splice, the violent temperature rise in local can be caused finally to lead to a disaster; Capacitor internal shelf depreciation can cause insulation degradation and aggravate temperature rise and finally lead to a disaster; Lightning arrester and the Ageing of Insulators or filth, also can cause local temperature rise finally to lead to a disaster.Above-mentioned major equipment in transformer station is all the object of native system monitoring, and because in transformer station, device category is various, the present embodiment fails to relate to the elaboration of all phenomenon of the failure correlation techniques of all devices.
The present invention is by using observed temperature trend analysis and early warning, reduced temperature trend analysis and early warning, maximum sustained load heat spot temperature trend is analyzed and early warning, the dynamic dataflow trend analysis algorithm of increment recursive least square method, generalized likelihood test cut-point trend fitting is predicted, abnormity point alarm tracing detection mechanism, system is based on infrared thermal imaging observed temperature, analyzed by the temperature difference, conversion is analyzed, Temperature Rise Analysis, comprehensively realize the accurate threshold alarm of power equipment thermometric, first the trend analysis of the reduced temperature of infrared measurement of temperature temperature combining environmental climatic information is applied in the judgement of power equipment infrared measurement of temperature trending early warning, first by infrared measurement of temperature temperature combining environmental climatic information and current loads, the heat spot temperature of the maximum sustained load of the equipment that calculates, and this index is carried out trend analysis, predicted temperature trend, realize further precisely and advanced early warning, adopt transformer station Infrared video image, in conjunction with current hi-tech image processing and analysis technology, can the view data that catches of automatic analysis thermal camera, realize continuous 24 hours real-time intelligents and monitor, when an anomaly occurs can Realtime Alerts and early warning.Reach and the detection of round-the-clock, intelligentized automatic video frequency and early warning are implemented to transformer station, will greatly reduce the workload of monitor staff, improve the real-time of affair alarm, promote substation safety and run emergency response capabilities; The present invention realizes the early warning for electrical equipment malfunction, effective minimizing electrical equipment accident number of times, the income of society can be increased on the other hand, reduce artificial workload, can play positive impetus in operation of power networks, maintenance cost, the quality of power supply etc., reliably, safely normally operation provides basic guarantee to the power equipment that is applied as of infrared imaging temperature measuring electrical equipment fault automatic early-warning technology.The areas case that system monitors as required, can arrange multiple infrared imaging device preset point, and carry out Object Segmentation, the thermometric information of each electrical equipment or its building block is deposited in a database, and carries out safe early warning according to simple rule.
Claims (4)
1. the electrical equipment fault automatic early-warning system of an infrared imaging temperature measuring, it is characterized in that: comprise signal gathering unit, Platform Server, automatic early-warning process software and human-computer interaction interface, signal gathering unit sends the signal of collection to Platform Server, user sets instruction by human-computer interaction interface, and carries out feedback processing by automatic early-warning process software and Platform Server; Signal gathering unit comprises infrared imaging video camera, temperature sensor, humidity sensor and air velocity transducer, and infrared imaging video camera is used for identifying each surveyed area of power equipment, and sends the temperature of each surveyed area to Platform Server by NVR in real time; Temperature sensor, humidity sensor and air velocity transducer gather amblent air temperature information, and send the amblent air temperature information of collection to Platform Server by dynamic environment main frame.
2. the electrical equipment fault automatic early-warning system of a kind of infrared imaging temperature measuring according to claim 1, is characterized in that: described infrared imaging video camera is binocular infrared imaging video camera.
3. the electrical equipment fault automatic early-warning system of a kind of infrared imaging temperature measuring according to claim 1, it is characterized in that: described Platform Server comprises video transmission server, central management server and intelligent automatic diagnosis alarm server, and all with human-computer interaction interface control linkage.
4. the electrical equipment fault automatic early-warning system of a kind of infrared imaging temperature measuring according to claim 1, it is characterized in that: described automatic early-warning process software comprises configuration definition unit, object segmentation unit, temperature extraction unit, failure diagnosis unit, database link unit, comprehensive distinguishing unit, and all suitable with Platform Server the docking of each unit.
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| CN107270970A (en) * | 2017-07-19 | 2017-10-20 | 国网新疆电力公司电力科学研究院 | Towering power equipment vibration monitoring device and its method for carrying out fault diagnosis |
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| CN113014722A (en) * | 2021-01-26 | 2021-06-22 | 国网浙江省电力有限公司金华供电公司 | Overheat identification system and method based on thermal imager of mobile phone |
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| CN108801469A (en) * | 2018-07-23 | 2018-11-13 | 大冶特殊钢股份有限公司 | A kind of system of high voltage nodes temperature detection |
| CN108955900A (en) * | 2018-08-02 | 2018-12-07 | 华电福新能源股份有限公司古田溪水力发电厂 | A kind of booster stations temperature measurement early warning system and method based on infrared thermal imaging |
| CN111323147A (en) * | 2020-03-24 | 2020-06-23 | 北京智盟信通科技有限公司 | Electrical equipment connects temperature early warning monitoring system |
| CN113014722A (en) * | 2021-01-26 | 2021-06-22 | 国网浙江省电力有限公司金华供电公司 | Overheat identification system and method based on thermal imager of mobile phone |
| CN114216569A (en) * | 2022-02-22 | 2022-03-22 | 深圳金三立视频科技股份有限公司 | Infrared temperature measurement method and terminal based on credibility evaluation |
| CN114216569B (en) * | 2022-02-22 | 2022-06-10 | 深圳金三立视频科技股份有限公司 | Infrared temperature measurement method and terminal based on credibility evaluation |
| CN117030048A (en) * | 2023-08-07 | 2023-11-10 | 国网山东省电力公司临沂供电公司 | Temperature detection and overheat early warning system suitable for power equipment |
| CN117030048B (en) * | 2023-08-07 | 2024-02-13 | 国网山东省电力公司临沂供电公司 | Temperature detection and overheat early warning system suitable for power equipment |
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