CN104535267A - Coal cutter coal motor cutting malfunction monitoring device and method - Google Patents
Coal cutter coal motor cutting malfunction monitoring device and method Download PDFInfo
- Publication number
- CN104535267A CN104535267A CN201410854537.4A CN201410854537A CN104535267A CN 104535267 A CN104535267 A CN 104535267A CN 201410854537 A CN201410854537 A CN 201410854537A CN 104535267 A CN104535267 A CN 104535267A
- Authority
- CN
- China
- Prior art keywords
- motor
- detecting unit
- microprocessor
- coal
- coal cutting
- Prior art date
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N carbon Chemical compound data:image/svg+xml;base64,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 data:image/svg+xml;base64,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 [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 42
- 239000003245 coal Substances 0.000 title claims abstract description 42
- 238000005520 cutting process Methods 0.000 title claims abstract description 38
- 238000004880 explosion Methods 0.000 claims abstract description 8
- 238000004804 winding Methods 0.000 claims description 9
- 239000003570 air Substances 0.000 claims description 6
- 238000007789 sealing Methods 0.000 claims description 6
- 238000000926 separation method Methods 0.000 claims description 6
- 230000002159 abnormal effects Effects 0.000 claims description 3
- 230000002547 anomalous Effects 0.000 claims description 3
- 239000011435 rock Substances 0.000 claims description 3
- 230000035939 shock Effects 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 2
- 238000000034 methods Methods 0.000 claims description 2
- 238000003860 storage Methods 0.000 claims description 2
- 239000007789 gases Substances 0.000 abstract description 3
- 239000002817 coal dust Substances 0.000 abstract description 2
- 206010063829 Device malfunction Diseases 0.000 abstract 1
- 238000003745 diagnosis Methods 0.000 description 4
- 230000001360 synchronised Effects 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 230000003068 static Effects 0.000 description 2
- 239000004676 acrylonitrile butadiene styrene Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagrams Methods 0.000 description 1
- 238000005516 engineering processes Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound data:image/svg+xml;base64,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 data:image/svg+xml;base64,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 [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 1
- 229910052697 platinum Inorganic materials 0.000 description 1
- 239000010932 platinum Substances 0.000 description 1
Abstract
Description
Technical field
The present invention relates to a kind of monitoring device and method of coalcutter electrical fault, particularly a kind of coal cutting electrical fault method of real-time adapting to colliery particular surroundings shearer.
Technical background
Coal cutting motor is the critical component of coalcutter, and the safe and reliable operation of coal cutting motor has important effect to guarantee coalcutter high-efficiency mining.But because coal mine environment is severe, cutting motor is operated in humidity, many dusts, have certain corrosivity and under the high bad working environments of temperature, often frequent large stating with load, voltage fluctuation is large, causes motor fault frequent.Coal cutting motor with regard to scaling loss 16 in certain colliery 3 months, direct economic loss more than 100 ten thousand yuan, the economic loss caused that stops production reaches more than 2,000 ten thousand yuan (mining machinery 2011,39 (8): 145-146).Current electrical fault monitoring, diagnosing technology is normally for ground environment, and the method for employing is the monitoring of temperature, magnetic field, vibration and electric current mostly, but is all not suitable with the malfunction monitoring of motor in mine rugged surroundings, such as:
The change of patent " the method CN200710018403.9 of diagnosis fault tolerant permanent magnet machine shorted-turn fault " disclosed a kind of mean value by instantaneous power before and after fault judges the method for motor shorted-turn fault; The disclosed a kind of synchronous motor static excitation equipment method for diagnosing faults based on detection of magnetic field of patent " the synchronous motor static excitation equipment method for diagnosing faults CN201110046178.6 based on detection of magnetic field "; A kind of disclosed large-scale generator rotor shorted-turn fault inline diagnosis method based on rotor oscillation and exciting current correlativity of patent " the inline diagnosis method CN201110047611.8 of large-scale generator rotor shorted-turn fault "; The disclosed a kind of A.C. brushless synchronous generator fault detection method based on exciting current of exciter of patent " the A.C. brushless synchronous generator fault detection method CN201210125470.1 based on exciting current of exciter "; The disclosed a kind of motor stator temperature sensor fault diagnostic system of patent " motor stator temperature sensor fault diagnostic system CN201210303164.2 "; Patent " motor operating state monitoring and fault detection system CN201310250037.5 " disclosed a kind of motor operating state be made up of voltage transformer (VT), current transformer, photoelectric encoder, acceleration transducer, temperature sensor, microprocessor, display unit, acousto-optic warning unit and wireless communication module is monitored and fault diagnosis system.
Summary of the invention
The object of the invention is the weak point overcome in prior art, provide a kind of structure simple, effectively can supervise coalcutter motor and whether occur or the monitoring device of survey coalcutter electrical fault that will break down and method.
For achieving the above object, coalcutter coal cutting electrical fault monitoring device of the present invention, comprises the explosion-proof leakproofness detecting unit of motor, motor electric fault detecting unit, motor overload detecting unit, microprocessor, warning circuit and telecommunication circuit; The output terminal of the explosion-proof leakproofness detecting unit of described motor, motor electric fault detecting unit, motor overload detecting unit is connected with the input end of microprocessor respectively, the output terminal of microprocessor respectively with warning circuit and telecommunication circuit.
The explosion-proof leakproofness detecting unit of described motor comprises baroceptor and humidity sensor, and baroceptor and humidity sensor are arranged on motor internal.
Described motor electric fault detecting unit comprises the magnetic field sensor being arranged on motor internal and the electromagnetic wave detection device be arranged on coalcutter coal cutting cantilever, described electromagnetic wave detection device comprises the directional antenna, wave detector and the isolated amplifier that are linked in sequence, directional antenna tie geophone, the output terminal of wave detector connects isolated amplifier, and the output terminal of isolated amplifier is connected with the input end of microprocessor.
Described motor overload detecting unit comprises the current sensor of installation successively on motor stator casing, temperature sensor and vibration transducer.
Use the coalcutter coal cutting electrical fault monitoring method of said apparatus, by the explosion-proof leakproofness detecting unit of motor, motor electric fault detecting unit, motor overload detecting unit monitors the explosive-proof sealed state of coalcutter motor respectively, electric fault and overload messages, the humidity of each detecting unit placement will be collected, air pressure, temperature, electric current, vibration, magnetic field, electromagnetic wave information feeds back to microprocessor respectively, the preset value receiving information and the storage obtained compares by microprocessor, thus judge whether explosion separation motor is in normal condition, when wherein any one status information exceeds preset value, microprocessor open alarm circuit, and by telecommunication circuit, warning message is sent, thus realize remote monitoring, detailed process mistake:
Utilize the explosion-proof leakproofness detecting unit of motor, namely baroceptor and humidity sensor by being arranged on motor internal detect pressure information and the humidity information of explosion separation motor inside, and the information detected is sent to microprocessor, compared with preset value by microprocessor, thus judge the flame proof sealing state of motor, when microprocessor judges detects that motor internal air pressure and humidity exceed preset value, then illustrate that the flame proof sealing of motor is broken down;
Utilize motor electric fault detecting unit, namely the magnetic field sensor by being arranged on motor internal detects the Magnetic Field of motor internal winding coil, and the information detected is sent to microprocessor, compared with preset value by microprocessor, thus judging the electric discharge that the faults such as the partial short-circuit of motor internal winding coil can cause the ANOMALOUS VARIATIONS in magnetic field, the loose contact of motor winding connection produces, space sends electromagnetic wave signal towards periphery;
Utilize motor overload detecting unit, namely current sensor is passed through, the electric current of temperature sensor and shock sensor monitoring motor, temperature and vibration information, and the information detected is sent to microprocessor, compared with preset value by microprocessor, thus judge whether motor occurs overload situations, because motor load is excessive or short trouble all can cause temperature to rise and electric current increases, therefore judge by vibration transducer the overload that coalcutter coal cutting causes further, abnormal vibration can be there is in coalcutter when cutting rock stratum, by the amplitude of motor oscillating signal, also the overload situations of motor coal cutting can be judged, if and the electric current that vibration signal normally produces is excessive or temperature is too high, then judge that motor electrically breaks down.
Beneficial effect: the present invention monitors by the explosion-proof leakproofness detecting unit of motor, motor electric fault detecting unit and motor overload detecting unit the factor that coalcutter coal cutting motor may produce fault in real time, and before may producing fault or colleague can Real-Time Monitoring and find the potential faults of coal cutting motor easily, ensure the reliability service of electrical equipment, and eliminate the danger of particular surroundings actuation gas or coal dust, the fault producing coal cutting motor can reliably be monitored and find to this programme in rugged surroundings, creates conditions for eliminating fault in time.
Accompanying drawing explanation
Fig. 1 is coalcutter coal cutting electrical fault monitoring device principle assumption diagram of the present invention.
Fig. 2 is electromagnetic wave detection device structured flowchart in motor electric fault detecting unit of the present invention.
In figure: the explosion-proof leakproofness detecting unit of 1-motor; 2-motor electric fault detecting unit; 3-motor overload detecting unit; 4-microprocessor; 5-warning circuit; 6-telecommunication circuit; 7-positioning antenna; 8-wave detector; 9-isolating amplifier circuit.
Embodiment
Below in conjunction with accompanying drawing, enforcement of the present invention is further described.
As shown in Figure 1, of the present invention it comprise the explosion-proof leakproofness detecting unit 1 of motor, motor electric fault detecting unit 2, motor overload detecting unit 3, microprocessor 4, warning circuit 5 and telecommunication circuit 6; The output terminal of the explosion-proof leakproofness detecting unit 1 of described motor, motor electric fault detecting unit 2, motor overload detecting unit 3 is connected with the input end of microprocessor 4 respectively, the output terminal of microprocessor 4 respectively with warning circuit 5 and telecommunication circuit 6.Microprocessor 6 adopts single chip computer AT MEGA16.
Wherein the explosion-proof leakproofness detecting unit 1 of motor is made up of baroceptor and humidity sensor, is arranged on motor internal; Motor electric fault detecting unit 2 is made up of magnetic field sensor and electromagnetic wave detection device, and magnetic field sensor is arranged on motor internal, and electromagnetic wave detection device is arranged on coalcutter coal cutting cantilever, forms by by directional antenna 7, wave detector 8 and isolated amplifier 9; Motor overload detecting unit 3 is made up of current sensor, temperature sensor and vibration transducer, and they are installed on motor stator casing; Wherein current sensor adopts the current transducer of SST3-AD-3 model, humidity sensor adopts the capacitive humidity sensor of HS1101 model, baroceptor adopts ABS series mini gas pressure sensor, temperature sensor adopts the platinum thermal sensor of the special WZPD model of motor, magnetic field sensor adopts MIC magnetic sensitive transistor, and vibration transducer adopts acceleration integrated sensor MMA745.
As shown in Figure 2, described motor electric fault detecting unit 2 comprises magnetic field sensor and electromagnetic wave detection device, wherein magnetic field sensor is arranged on motor internal, electromagnetic wave detection device is arranged on coalcutter coal cutting cantilever, described electromagnetic wave detection device comprises the directional antenna 7, wave detector 8 and the isolated amplifier 9 that are linked in sequence, directional antenna 7 tie geophone 8, the output terminal of wave detector 8 connects isolated amplifier 9, and the output terminal of isolated amplifier 9 is connected with the input end of microprocessor 4; Wave detector 8 adopts TA7640AP type, can suppress the interference of frequency electromagnetic waves, and isolated amplifier 9 adopts IAPM-V3 model, also effectively can suppress high frequency interference.
Coalcutter coal cutting electrical fault monitoring method of the present invention: microprocessor 4 uses the explosion-proof leakproofness detecting unit 1 of motor, motor electric fault detecting unit 2, motor overload detecting unit 3 monitors the explosive-proof sealed state of coalcutter motor respectively, electric fault and overload messages, the humidity of each detecting unit placement will be collected, air pressure, temperature, electric current, vibration, magnetic field, electromagnetic wave information feeds back to microprocessor 4 respectively, microprocessor 4 compares by receiving the above-mentioned information obtained with the preset value stored thus judges whether explosion separation motor is in normal condition, when wherein any one status information exceeds preset value, microprocessor 4 open alarm circuit 5, and by telecommunication circuit 6, warning message is sent, be engaged in and realize remote monitoring,
Utilize the explosion-proof leakproofness detecting unit 1 of motor, namely pressure information and humidity information that the baroceptor of motor internal and humidity sensor detect explosion separation motor inside is arranged on, and the information detected is sent to microprocessor 4, microprocessor 4 is by comparing with preset value, thus judge the flame proof sealing state of motor, when microprocessor 4 judges to detect that motor internal air pressure and humidity exceed preset value, then illustrate that the flame proof sealing of motor is broken down;
Utilize motor electric fault detecting unit 2, namely the magnetic field sensor being arranged on motor internal detects the Magnetic Field of motor internal winding coil, and the information detected is sent to microprocessor 4, microprocessor 4 is by comparing with preset value, thus judge that the faults such as the partial short-circuit of motor internal winding coil can cause the ANOMALOUS VARIATIONS in magnetic field, the electric discharge that the loose contact of motor winding connection produces, extraordinary electromagnetic wave signal can be sent in space towards periphery, therefore can be monitored the electric fault of motor by magnetic field sensor and electromagnetic wave detection device in time;
Utilize motor overload detecting unit 3, namely current sensor is passed through, the electric current of temperature sensor and shock sensor monitoring motor, temperature and vibration information, and the information detected is sent to microprocessor 4, microprocessor 4 is by comparing with preset value, thus judge whether motor occurs overload situations, because motor load is excessive or short trouble all can cause temperature to rise and electric current increases, therefore judge whether by vibration transducer the overload that coalcutter coal cutting causes further, abnormal vibration can be there is in coalcutter when cutting rock stratum, therefore by the amplitude of motor oscillating signal, the overload situations of motor coal cutting can be judged.And if the electric current that vibration signal normally produces is excessive or temperature is too high, then judge that motor electrically breaks down.
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410854537.4A CN104535267A (en) | 2014-12-31 | 2014-12-31 | Coal cutter coal motor cutting malfunction monitoring device and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410854537.4A CN104535267A (en) | 2014-12-31 | 2014-12-31 | Coal cutter coal motor cutting malfunction monitoring device and method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104535267A true CN104535267A (en) | 2015-04-22 |
Family
ID=52850841
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410854537.4A CN104535267A (en) | 2014-12-31 | 2014-12-31 | Coal cutter coal motor cutting malfunction monitoring device and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104535267A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107464069A (en) * | 2017-09-26 | 2017-12-12 | 天地科技股份有限公司上海分公司 | A kind of coal-winning machine health degree evaluation method |
CN110045283A (en) * | 2019-05-07 | 2019-07-23 | 广东工业大学 | A kind of motor operation detection system and method |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102047084A (en) * | 2008-04-15 | 2011-05-04 | 阿尔斯通技术有限公司 | Method for monitoring an electrodynamic motor |
KR20110066693A (en) * | 2009-12-11 | 2011-06-17 | 한전케이디엔주식회사 | Static monitoring device for high voltage motor |
CN102636751A (en) * | 2012-04-26 | 2012-08-15 | 中国人民解放军海军工程大学 | Alternating-current brushless generator fault detection method based on exciter exciting current |
CN103383432A (en) * | 2013-06-25 | 2013-11-06 | 常州市俊宏电器厂 | Failure detecting and warning circuit of electric generator |
CN203278198U (en) * | 2013-05-08 | 2013-11-06 | 青岛数能电气工程有限公司 | Motor fault predetermination protective device |
CN103513180A (en) * | 2013-06-24 | 2014-01-15 | 大连民族学院 | Motor operation state monitoring and fault detecting system |
EP2779343A2 (en) * | 2013-03-15 | 2014-09-17 | Rockwell Automation Technologies, Inc. | Multimotor variable frequency overload |
-
2014
- 2014-12-31 CN CN201410854537.4A patent/CN104535267A/en not_active Application Discontinuation
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102047084A (en) * | 2008-04-15 | 2011-05-04 | 阿尔斯通技术有限公司 | Method for monitoring an electrodynamic motor |
KR20110066693A (en) * | 2009-12-11 | 2011-06-17 | 한전케이디엔주식회사 | Static monitoring device for high voltage motor |
CN102636751A (en) * | 2012-04-26 | 2012-08-15 | 中国人民解放军海军工程大学 | Alternating-current brushless generator fault detection method based on exciter exciting current |
EP2779343A2 (en) * | 2013-03-15 | 2014-09-17 | Rockwell Automation Technologies, Inc. | Multimotor variable frequency overload |
CN203278198U (en) * | 2013-05-08 | 2013-11-06 | 青岛数能电气工程有限公司 | Motor fault predetermination protective device |
CN103513180A (en) * | 2013-06-24 | 2014-01-15 | 大连民族学院 | Motor operation state monitoring and fault detecting system |
CN103383432A (en) * | 2013-06-25 | 2013-11-06 | 常州市俊宏电器厂 | Failure detecting and warning circuit of electric generator |
Non-Patent Citations (2)
Title |
---|
深圳能源集团月亮湾燃机电厂等编: "《M701F燃气轮机/汽轮机分册》", 31 March 2014 * |
肖登明编著: "《电力设备在线监测与故障诊断》", 30 November 2005 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107464069A (en) * | 2017-09-26 | 2017-12-12 | 天地科技股份有限公司上海分公司 | A kind of coal-winning machine health degree evaluation method |
CN110045283A (en) * | 2019-05-07 | 2019-07-23 | 广东工业大学 | A kind of motor operation detection system and method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9197055B2 (en) | Ground monitor current sensing | |
CA2498060C (en) | Apparatus and method for monitoring and/or analysis of electrical machines during operation | |
US9823289B2 (en) | Automated digital earth fault system | |
US20140244192A1 (en) | System and method for providing monitoring of industrial equipment | |
EP2541715B1 (en) | Dc power supply insulation fault detection circuit | |
CN103321917B (en) | A kind of water pump operation self-checking unit | |
KR101224324B1 (en) | Management system for distributing board and the method thereof | |
CN105234746A (en) | Online tool wear monitoring system and detection method thereof | |
CN201594594U (en) | Electric pre-alarming grounding wire operating rod | |
CN102749562A (en) | Insulation monitoring device and monitoring method of power cell of electric vehicle | |
US10432139B2 (en) | Electric arc detection in photovoltaic installations | |
CN103620354A (en) | Method for monitoring demagnetization | |
CN103744021A (en) | Apparatus and method for motor fault monitoring | |
CN104090230A (en) | Breaker safe operation real-time analysis early warning system | |
CN201674714U (en) | Electronic ballast with MCU intelligent protection | |
CN104806303A (en) | Vibration protection method for steam turbine generator unit | |
US10012684B2 (en) | Ground fault detection circuit | |
CN201611384U (en) | Motor status monitoring and failure diagnosis system | |
CN207528861U (en) | A kind of status early warning device suitable for the detection of high-tension switch cabinet internal gas | |
CN101789593A (en) | Surge protective device with detection function | |
CN104020411A (en) | On-line monitoring system for high-voltage GIS | |
CN102890259A (en) | Line fault indicator detecting system | |
CN201280339Y (en) | Low-speed detection switch for conveyer belt | |
CN106092544B (en) | A kind of disc insulator loosening monitoring method of GIS | |
CN205941759U (en) | Arc light protective device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into 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: 20150422 |