CN102979755A - Embedded data acquisition system-based mechanical fault diagnosis device of mining fan - Google Patents
Embedded data acquisition system-based mechanical fault diagnosis device of mining fan Download PDFInfo
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- CN102979755A CN102979755A CN2012104699425A CN201210469942A CN102979755A CN 102979755 A CN102979755 A CN 102979755A CN 2012104699425 A CN2012104699425 A CN 2012104699425A CN 201210469942 A CN201210469942 A CN 201210469942A CN 102979755 A CN102979755 A CN 102979755A
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Abstract
The invention discloses an embedded data acquisition system-based mechanical fault diagnosis device of a mining fan. The embedded data acquisition system-based mechanical fault diagnosis device comprises an intrinsically safe sensor, an embedded data acquisition system and a fault judgment system, wherein the intrinsically safe sensor comprises an intrinsically safe acceleration sensor, an intrinsically safe temperature sensor and an intrinsically safe rotating speed sensor; the fault judgment system comprises an online monitoring module, a fault diagnosis module, an alarming and maintaining module and a data storage module; and the intrinsically safe acceleration sensor, the intrinsically safe bearing temperature sensor and the intrinsically safe magnetoelectric rotating speed sensor are connected to the online monitoring module, the fault diagnosis module, the alarming and maintaining module and the data storage module by an input interface of the embedded data acquisition system and an output interface of the embedded data acquisition system through circuits. The embedded data acquisition system-based mechanical fault diagnosis device disclosed by the invention is used for monitoring the parameters, such as vibration quantity, temperature, rotating speed and displacement on line when the fan works, diagnosing the mechanical faults of the fan and providing corresponding solutions and is suitable for the online monitoring and mechanical fault diagnosis of various fans.
Description
(1) technical field:
The present invention relates to the mechanical fault diagnosis device, be specially a kind of mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system.
(2) background technique:
Colliery (leading to) blower fan is one of visual plant of Safety of Coal Mine Production, and do not stop transport and turn 24 hours its every days, is undertaking to the important task of the dirty air-flows such as delivered downhole fresh air, eliminating dust.In case the Coal Mine Ventilator operation is broken down, and causes fire damp concentration to rise to a certain degree, and then causes coal mine gas from explosion, jeopardizes miner's life safety, affects the safety in production in colliery.Therefore the working condition of fan bearing (particularly to) carries out on-line monitoring to the operation conditions of coal mine blower, extremely is necessary.
At present, Mechatronic Systems monitoring running state and fault diagnosis system adopt standalone monitoring diagnosis system, centralized monitoring diagnosis system, based on network distribution on line formula monitoring diagnosis system etc., have brought into play important effect in large-scale dynamoelectric equipment and system.Yet, these monitor control systems expensive (for example: rotor of large turbo-type generator vibratory output supervisory device price is up to 1,000,000 yuan), and can't promote the use.
And the monitoring of working condition method that embedded system is got up as newly-developed, be the product that computer technology, semiconductor technology and electronic technology with the advanced person combine with the concrete application of industry-by-industry, this point has just determined that it must be technology-intensive a, intensive capital, high degree of dispersion, the knowledge integrated system of constantly bringing forth new ideas.Its characteristics be embedded system normally user oriented, towards product, towards application-specific.Have low power consumption, little, the level of integration high of volume, can be integrated in chip internal to many being finished by integrated circuit board of tasks in the universal cpu, be tending towards miniaturization thereby be conducive to the whole system design.In order to improve execution speed and system reliability, the software in the embedded system generally all is solidificated in memory chip or the single-chip microcomputer, rather than is stored in the carriers such as disk.Because still there are restriction to a certain degree in the arithmetic speed of embedded system and storage capacity, in addition, because most of embedded system must have higher real-time, therefore to the quality, particularly reliability of program, higher requirement is arranged.The developing instrument that embedded system is supported is easy to learn, easy-to-use, reliable, efficient, is convenient to cultivate the expert in each application with solid professional knowledge base.
Therefore, very wide based on Embedded key technology research and development and industrial application.
(3) summary of the invention:
The present invention designs a kind of mine ventilator mechanical fault diagnosis device based on embedded system, and its purpose of design is to solve efficiently, reliably mine ventilator mechanical fault diagnosis problem.
The technological scheme that the present invention is based on the mine ventilator mechanical fault diagnosis device of Embedded data acquisition system comprises the essential safe type sensor, Embedded data acquisition system and fault are judged system, described essential safe type sensor comprises the essential safe type acceleration transducer, essential safe type temperature transducer and essential safe type speed probe, described fault is examined system block and is comprised online monitoring modular, fault diagnosis module, warning maintenance modules and data memory module, described essential safe type acceleration transducer, essential safe type temperature transducer and essential safe type speed probe access respectively the input interface of Embedded data acquisition system by circuit, and the output interface of described Embedded data acquisition system is connected to the line monitoring modular by circuit, fault diagnosis module, warning maintenance modules and data memory module.
The present invention is by setting each fault signature frequency spectrum and characteristic parameter of blower fan, it is stored in the storage of Embedded data acquisition system, be used for coupling and obtain electric machine main shaft, bearing vibration signal feature and bearing temperature by essential safe type sensor Real-Time Monitoring, carry out integrated decision-making, provide the judgement that whether has fault and the order of severity thereof, and provide the instruction of maintenance.
Described essential safe type acceleration transducer is installed on the shell of fan motor bearings at both ends, by the Vibration Condition of motor bearings and axle, the degree of wear of bearing and the operation conditions of draught fan impeller is carried out Real-Time Monitoring.
The terminal box of described essential safe type bearing temperature sensor is installed in the appropriate location of motor, and the heat responsive element probe of sensor inserts near the screw of motor bearings or the boring also fixing, to obtain the operating temperature of bearing.
Described essential safe type speed probe is installed on the fan motor shell, and motor speed is measured in real time.
Described Embedded data acquisition system is provided with the button that the various mechanical failure critical parameter of blower fan are set in input, and signal and the default parameter that collects compared, and exceeds threshold state and sends acoustooptic alarm; The output interface of described Embedded data acquisition system adopts external RS485 interface; Embedded data acquisition system is located between fan operation.
Described output interface also comprises the EPA mouth, and described Embedded data acquisition system accesses respectively coalmine dispatching chamber and producer's server by the circuit of EPA mouth, in case exceptional fault occurs, is convenient to operator and producer and carries out the remote technology guidance; Described on-line monitoring module, fault diagnosis module, warning maintenance modules and data memory module are located at the control room, colliery.
Described on-line monitoring module presents the data that Embedded data acquisition system collects with oscillogram target form.
Described fault diagnosis module adopts the methods such as fft analysis, resonance and demodulation, Based on Wavelet Envelope to obtain useful fan trouble information, carry out the matching analysis with typical fault, judge bearing temperature, damage of the bearing type and degree, the operation conditions of draught fan impeller and blade etc.
The critical value of default parameters in the described warning maintenance modules is sent alarm signal when a certain index surpasses the normal index of blower fan work, and provides the maintenance direction suggestion.
After embedded system was sent the acoustooptic alarm signal, described data memory module was preserved trouble signal automatically, and printing reports and data readback.
Advantage of the present invention:
1, it is light and handy to the present invention is based on the mine ventilator mechanical fault diagnosis apparatus structure of Embedded data acquisition system, can directly be installed between fan operation, be used for the coal mine blower mechanical fault diagnosis under the working state is patrolled and examined and on-line monitoring, in time find the incipient fault of blower fan, thereby provide guiding suggestion, avoid sudden accident to occur, reduce the incidence rate of coal mining accident.
2, the present invention has overcome prior art in the situation that the hazardous environments such as gas, coal dust and work under bad environment are arranged, the deficiency of monitoring coal mine blower mechanical failure that can't be accurate and effective, the isoparametric on-line monitoring of vibratory output, temperature, rotating speed, displacement when blower fan is worked, the mechanical failure of diagnosis blowing machine, and corresponding solution is proposed, be suitable for on-line monitoring and the mechanical fault diagnosis of various coal mine blowers.
(4) description of drawings:
Fig. 1 is the theory diagram of one embodiment of the present invention.
Figure number sign: 1, Embedded data acquisition system; 2, essential safe type acceleration transducer; 3, essential safe type temperature transducer; 4, essential safe type speed probe; 5, on-line monitoring module; 6, fault diagnosis module; 7, data memory module; 8, warning maintenance modules; 9, coalmine dispatching chamber; 10, producer's server; 11, control room, colliery.
(5) embodiment:
Below in conjunction with accompanying drawing technological scheme of the present invention is described further:
The mine ventilator mechanical fault diagnosis device that the present invention is based on embedded system mainly is made of Embedded data acquisition system 1, essential safe type sensor and fault judgement system, and connection and transmission relation are as shown in Figure 1 between them.
Described Embedded data acquisition system 1(is located between fan operation) gather the primary signal of the various mechanical failure parameters of blower fan that the essential safe type sensor passes comes, and with its pretreatment; The user can pass through key-press input, sets the critical parameter of the various mechanical failures of blower fan; The signal that collects and the parameter of user preset are compared, exceed threshold state and send acoustooptic alarm; The external RS485 interface that Embedded data acquisition system 1 arranges is connected with the fault judgement system that control room, colliery 11 arranges, and makes things convenient for staff's remote operation monitoring; Embedded data acquisition system 1 also arranges external EPA mouth, and external EPA mouth is connected in coalmine dispatching chamber 9 and producer's server 10, in case exceptional fault occurs, is convenient to operator and producer and carries out the remote technology guidance.
Because the environmental abnormality of mine fan work is abominable, dust is large, gas density is high, and the sensor of therefore selecting must be essential safety with relevant device, generally selects three kinds of essential safe type sensors to monitor the runnability of blower fan:
1, the essential safe type acceleration transducer 2, this essential safe type installation of sensors records the Vibration Condition of motor bearings and axle on the shell of the bearings at both ends of fan motor, in order to the degree of wear of bearing and the runnability of draught fan impeller are carried out Real-Time Monitoring.
2, the essential safe type temperature transducer 3, are used for measuring the motor bearings temperature.At first this essential safe type sensor terminal box is installed in the appropriate location of motor, tightens connecting screw, connect ground wire; During installation, with near the screw the heat responsive element probe insertion motor bearings of sensor or the boring (such as the screw on motor casing, the axle housing or boring), and tighten mounting nuts, in order to better obtain the operating temperature of bearing.
3, the essential safe type speed probe 4, are used for measuring the blower fan rotational velocity.Be installed on the motor by sensor installation seat, transducer probe assembly is over against the axle center of motor output shaft, adjust the distance of gauge head and motor output shaft during installation by adjusting nut, measuring head is apart from output shaft 2～4mm, so that the rotational velocity of motor is measured reliably.
Described each essential safe type sensor connects respectively the input interface of Embedded data acquisition system 1 by circuit.
The fault diagnosis system of being located at control room, colliery 11 comprises four part of module and power supply output module:
1, on-line monitoring module.The data that Embedded data acquisition system 1 collects are presented in display screen in real time with oscillogram target form, are convenient to the user and observe intuitively.
2, fault diagnosis module.Adopt the methods such as fft analysis, resonance and demodulation to obtain useful fan trouble information, carry out the matching analysis with typical fault, judge the operation conditions of bearing wear degree and draught fan impeller.
3, warning maintenance modules.The critical value of default parameters, the normal index that surpasses blower fan work when a certain index is to send alarm signal, and provides the maintenance direction suggestion.
4, data memory module.After embedded system is sent the acoustooptic alarm signal, automatically trouble signal is preserved, and realized the function of printing reports and data readback.
5, power supply output module.Power module is essential safety, have the functions such as overcurrent protection, overvoltage protection and restoring circuit, hardware protection, software protection, thereby assurance equipment is in the safe handling of coal mine environment.
The present invention includes following steps:
By test, obtain fan motor bearing wear fault signature frequency spectrum and characteristic parameter, it is stored in the storage of Embedded data acquisition system 1, be used for mating electric machine main shaft and bearing vibration signal feature and the bearing temperature that obtains by each essential safe type sensor Real-Time Monitoring and making a strategic decision, provide the judgement that whether has bearing wear fault and the order of severity thereof, and provide the instruction of maintenance.
Claims (10)
1. based on the mine ventilator mechanical fault diagnosis device of Embedded data acquisition system, it is characterized in that: comprise the essential safe type sensor, Embedded data acquisition system (1) and fault are judged system, described essential safe type sensor comprises essential safe type acceleration transducer (2), essential safe type temperature transducer (3) and essential safe type speed probe (4), described fault is examined system block and is comprised online monitoring modular (5), fault diagnosis module (6), warning maintenance modules (8) and data memory module (7), described essential safe type acceleration transducer (2), essential safe type temperature transducer (3) and essential safe type speed probe (4) access respectively the input interface of Embedded data acquisition system (1) by circuit, and the output interface of described Embedded data acquisition system (1) is connected to line monitoring modular (5) by circuit, fault diagnosis module (6), warning maintenance modules (8) and data memory module (7).
2. described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system according to claim 1, it is characterized in that: described essential safe type acceleration transducer (2) is installed on the fan motor bearings at both ends shell, by the Vibration Condition of motor bearings and axle, the degree of wear of bearing and the operation conditions of draught fan impeller are carried out Real-Time Monitoring.
3. described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system according to claim 1, it is characterized in that: the terminal box of described essential safe type temperature transducer (3) is installed in the appropriate location of motor, the heat responsive element probe of sensor inserts near the screw of motor bearings or the boring also fixing, to obtain the operating temperature of bearing.
4. described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system according to claim 1, it is characterized in that: described essential safe type speed probe (4) is installed on the fan motor shell, transducer probe assembly is measured the rotating speed of motor in real time over against the axle center of motor output shaft.
5. the described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system of any one according to claim 1～4, it is characterized in that: described Embedded data acquisition system (1) is provided with the button that the various mechanical failure critical parameter of blower fan are set in input, the signal and the default parameter that collect are compared, exceed threshold state and send acoustooptic alarm; The output interface of described Embedded data acquisition system (1) is external RS485 interface; Embedded data acquisition system (1) is located between fan operation.
6. described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system according to claim 5, it is characterized in that: described output interface also comprises the EPA mouth, described Embedded data acquisition system (1) accesses respectively coalmine dispatching chamber (9) and producer's server (10) by EPA mouth circuit, in case the generation exceptional fault is convenient to operator and producer and is carried out the remote technology guidance; Described on-line monitoring module (5), fault diagnosis module (6), warning maintenance modules (8) and data memory module (7) are located at control room, colliery (11).
7. the described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system of any one according to claim 1～4, it is characterized in that: described on-line monitoring module (5) presents the data that Embedded data acquisition system (1) collects with oscillogram target form.
8. the described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system of any one according to claim 1～4, it is characterized in that: described fault diagnosis module (6) adopts the methods such as fft analysis, resonance and demodulation, Based on Wavelet Envelope to obtain useful fan trouble information, carry out the matching analysis with typical fault, judge the operation conditions of bearing temperature, bearing wear degree and draught fan impeller.
9. the described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system of any one according to claim 1～4, it is characterized in that: the critical value of default parameters in the described warning maintenance modules (8), when a certain index surpasses the normal index of blower fan work, send alarm signal, and provide the maintenance direction suggestion.
10. the described mine ventilator mechanical fault diagnosis device based on Embedded data acquisition system of any one according to claim 1～4, it is characterized in that: after Embedded data acquisition system (1) sends the acoustooptic alarm signal, described data memory module (7) is preserved trouble signal automatically, and printing reports and data readback.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103195728A (en) * | 2013-03-22 | 2013-07-10 | 济钢集团有限公司 | Large-scale fan on-line monitoring and diagnosing system |
| CN103671195A (en) * | 2013-12-09 | 2014-03-26 | 淮南矿业(集团)有限责任公司 | Mining fan fault diagnosis system |
| CN104005975A (en) * | 2014-05-20 | 2014-08-27 | 北京工业大学 | Stall and surge diagnostic method for axial fan |
| CN105242602A (en) * | 2015-10-10 | 2016-01-13 | 广西大美电器有限公司 | System for controlling heat dissipation by mobile phone |
| CN107144303A (en) * | 2017-04-21 | 2017-09-08 | 煤炭科学技术研究院有限公司 | A kind of fault detection system of mineral electromechanical equipment, method and device |
| CN107575411A (en) * | 2017-07-11 | 2018-01-12 | 中铁第四勘察设计院集团有限公司 | A kind of Railway Tunnel draft fan safety monitoring assembly and method |
| CN108843399A (en) * | 2018-07-12 | 2018-11-20 | 煤科集团沈阳研究院有限公司 | A kind of mining motor fault early warning system |
| CN109424574A (en) * | 2017-09-04 | 2019-03-05 | 广东石油化工学院 | Combined fan combined failure diagnostic testing process |
| CN110056395A (en) * | 2019-05-17 | 2019-07-26 | 合肥帧讯软件有限公司 | Automatic identification and prewarning analysis system are examined in a kind of detection of coal mining equipment |
| CN110262461A (en) * | 2019-07-03 | 2019-09-20 | 浙江好得电气有限公司 | Blower fan control system two dimensional code intelligent fault diagnosis method and system |
| CN112628169A (en) * | 2020-12-08 | 2021-04-09 | 中国工程物理研究院材料研究所 | Online state monitoring and fault early warning system for nuclear facility ventilator |
| CN113236595A (en) * | 2021-07-13 | 2021-08-10 | 湖南师范大学 | Fan fault analysis method, device, equipment and readable storage medium |
| CN114653140A (en) * | 2022-04-20 | 2022-06-24 | 阳春新钢铁有限责任公司 | Automatic control system of dust bin small bag-type dust remover |
| CN114933340A (en) * | 2022-07-22 | 2022-08-23 | 四川锦美环保股份有限公司 | Sewage treatment remote monitoring and diagnosing system and method based on edge calculation |
| CN117345680A (en) * | 2023-12-04 | 2024-01-05 | 杭州景业智能科技股份有限公司 | Ventilator detection method, ventilator detection device, computer equipment and storage medium |
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103195728A (en) * | 2013-03-22 | 2013-07-10 | 济钢集团有限公司 | Large-scale fan on-line monitoring and diagnosing system |
| CN103671195A (en) * | 2013-12-09 | 2014-03-26 | 淮南矿业(集团)有限责任公司 | Mining fan fault diagnosis system |
| CN104005975A (en) * | 2014-05-20 | 2014-08-27 | 北京工业大学 | Stall and surge diagnostic method for axial fan |
| CN104005975B (en) * | 2014-05-20 | 2016-04-13 | 北京工业大学 | The diagnostic method of a kind of axial fan stall and surge |
| CN105242602A (en) * | 2015-10-10 | 2016-01-13 | 广西大美电器有限公司 | System for controlling heat dissipation by mobile phone |
| CN107144303A (en) * | 2017-04-21 | 2017-09-08 | 煤炭科学技术研究院有限公司 | A kind of fault detection system of mineral electromechanical equipment, method and device |
| CN107575411A (en) * | 2017-07-11 | 2018-01-12 | 中铁第四勘察设计院集团有限公司 | A kind of Railway Tunnel draft fan safety monitoring assembly and method |
| CN107575411B (en) * | 2017-07-11 | 2019-05-17 | 中铁第四勘察设计院集团有限公司 | A kind of Railway Tunnel draft fan safety monitoring assembly and method |
| CN109424574A (en) * | 2017-09-04 | 2019-03-05 | 广东石油化工学院 | Combined fan combined failure diagnostic testing process |
| CN108843399A (en) * | 2018-07-12 | 2018-11-20 | 煤科集团沈阳研究院有限公司 | A kind of mining motor fault early warning system |
| CN110056395A (en) * | 2019-05-17 | 2019-07-26 | 合肥帧讯软件有限公司 | Automatic identification and prewarning analysis system are examined in a kind of detection of coal mining equipment |
| CN110262461A (en) * | 2019-07-03 | 2019-09-20 | 浙江好得电气有限公司 | Blower fan control system two dimensional code intelligent fault diagnosis method and system |
| CN112628169A (en) * | 2020-12-08 | 2021-04-09 | 中国工程物理研究院材料研究所 | Online state monitoring and fault early warning system for nuclear facility ventilator |
| CN113236595A (en) * | 2021-07-13 | 2021-08-10 | 湖南师范大学 | Fan fault analysis method, device, equipment and readable storage medium |
| CN113236595B (en) * | 2021-07-13 | 2021-09-28 | 湖南师范大学 | Fan fault analysis method, device, equipment and readable storage medium |
| CN114653140A (en) * | 2022-04-20 | 2022-06-24 | 阳春新钢铁有限责任公司 | Automatic control system of dust bin small bag-type dust remover |
| CN114933340A (en) * | 2022-07-22 | 2022-08-23 | 四川锦美环保股份有限公司 | Sewage treatment remote monitoring and diagnosing system and method based on edge calculation |
| CN114933340B (en) * | 2022-07-22 | 2022-11-18 | 四川锦美环保股份有限公司 | Sewage treatment remote monitoring and diagnosing system and method based on edge calculation |
| CN117345680A (en) * | 2023-12-04 | 2024-01-05 | 杭州景业智能科技股份有限公司 | Ventilator detection method, ventilator detection device, computer equipment and storage medium |
| CN117345680B (en) * | 2023-12-04 | 2024-04-02 | 杭州景业智能科技股份有限公司 | Ventilator detection method, ventilator detection device, computer equipment and storage medium |
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Application publication date: 20130320 |