CN203297126U - On-line exhaust fan monitoring and fault diagnosis system based on Internet of Things - Google Patents
On-line exhaust fan monitoring and fault diagnosis system based on Internet of Things Download PDFInfo
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- CN203297126U CN203297126U CN2013202603396U CN201320260339U CN203297126U CN 203297126 U CN203297126 U CN 203297126U CN 2013202603396 U CN2013202603396 U CN 2013202603396U CN 201320260339 U CN201320260339 U CN 201320260339U CN 203297126 U CN203297126 U CN 203297126U
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- 238000004891 communication Methods 0.000 claims abstract description 35
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Abstract
The utility model discloses an on-line exhaust fan monitoring and fault diagnosis system based on the Internet of Things, and belongs to a system for monitoring an exhaust fan and conducting fault diagnosis. The system comprises a sensing layer, a network layer, an application layer, interlayer wireless communication and interlayer internet communication. The sensing layer and the network layer are connected through the interlayer wireless communication, and the internet layer and the application layer are connected through the interlayer internet communication. The sensing layer conducts sensing comprehensively and obtains running parameters of an exhaust fan. The internet layer processes and stores the information of the running parameters of the exhaust fan and is integrated with the Internet through various telecommunication networks, and the running parameters of the exhaust fan and the fault information of the exhaust fan are precisely transmitted to a data center in real time. Sensing data which undergo analysis are adopted in the application layer, and a user can inquire the data through a PC or a mobile phone. According to the running features of the exhaust fan and the change of the running parameters, the Internet of Things technology is adopt to transmit the running parameters, a wavelet neural network algorithm is used for conducting analysis on the running parameters, and on-line exhaust fan monitoring and fault diagnosis system conducts early warning and fault diagnosis on faults.
Description
Technical field
The utility model relates to a kind of monitoring to induced draft fan and fault diagnosis system, particularly a kind of on-line monitoring and fault diagonosing of induced draft fan based on Internet of Things system.
Background technique
Induced draft fan is one of visual plant in coal production, and run without interruption 24 hours its every days, is bearing the role of mine respiratory system, is the basis of Safety of Coal Mine Production.Its Main Function has: (l) supply with the fresh air of personnel in the pit's abundance, meet personnel's besoin de respirer; (2) get rid of or water down down-hole toxic gas and dust, guaranteeing that the staff is not poisoning, the turbidity test of maintenance air; Heat and the water vapour of (3) dilution, eliminating down-hole, the weather conditions of adjusting mine, create good working environment; (4) improve the anti-disaster ability of mine.If the operation conditions of mine drawing fan system accident occurs and causes ventilating not smooth, will make the harmful gases such as gas in tunnel gather, the accident such as may cause gas explosion, fire, suffocate, the normal operation of to life safety and the whole mining industry of staff under coal mine, producing brings huge threat.Actual production shows, the gas accident that causes due to the fan operation fault still occurs repeatedly, and traces it to its cause and is the working state of Fan Equipment not to be carried out good monitoring, and lack effective in-service surveillance method.At present the most of colliery of China only takes the mode of patrolling to check the working condition of mine fan, has so a lot of drawbacks: runnability that can not the Real-Time Monitoring blower fan; Expend a large amount of man power and materials; The situation that the staff practices fraud easily occurs.
Summary of the invention
The purpose of this utility model is that a kind of on-line monitoring and fault diagonosing of induced draft fan based on Internet of Things system will be provided, and solves runnability that present colliery can not the Real-Time Monitoring blower fan, expends a large amount of man power and materials, the problem that the staff practices fraud easily occurs.
The purpose of this utility model is achieved in that this detection and diagnosis system comprises: sensing layer, Internet, application layer, interlayer radio communication and interlayer internet communication; Connect by the interlayer radio communication between sensing layer and Internet; Be connected by the interlayer internet communication between Internet and application layer;
Described sensing layer is communicated by letter and is formed with node wireless by acquisition node, routing node, and acquisition node and routing node communicate to connect by node wireless;
Described Internet is comprised of coordinator node, records center and node internet communication, is connected by the node internet communication between coordinator node and records center;
Described application layer is comprised of mobile phone and PC, and mobile phone and PC carry out communication by wireless phone information.
Beneficial effect, owing to having adopted such scheme, the three-tier architecture that is most widely used in candidate networking is as research object, three layers of sensing layer, Internet and application layers, consists of.The major function of sensing layer is comprehensive perception, obtains the induced draft fan Operational Limits; The Main Function of Internet is that the trip information of induced draft fan is processed and stored, and by the fusion of various communication networks and internet, induced draft fan Operational Limits and fault message is transferred to records center real-time and accurately; Application layer is mainly to utilize the perception data of processing by analysis, and the user can pass through PC or these data of mobile phones enquiring.
Advantage: according to the operation characteristic of induced draft fan, and induced draft fan break down before and the variation of fault Operational Limits while occurring, adopt technology of Internet of things transmission Operational Limits, by the wavelet neural network algorithm, Operational Limits is analyzed, fault is carried out early warning and fault diagnosis.
Description of drawings
Fig. 1 is long splice composition of the present utility model;
Fig. 2 is the utility model sensing layer structured flowchart;
Fig. 3 is the utility model network layer structure block diagram;
Fig. 4 is the utility model application layer structure block diagram.
In figure: 1, acquisition node; 2, routing node; 3, node wireless communication; 4, coordinator node; 5, records center; 6, node internet communication; 7, mobile phone; 8, PC; 9, sensing layer; 10, Internet; 11, application layer; 12, interlayer radio communication; 13, interlayer internet communication.
Embodiment
Embodiment 1: this detection and diagnosis system comprises: sensing layer 9, Internet 10, application layer 11, interlayer radio communication 12 and interlayer internet communication 13; Connect by interlayer radio communication 12 between sensing layer 9 and Internet 10; Be connected by interlayer internet communication 13 between Internet 10 and application layer 11;
Described sensing layer 9 is communicated by letter with node wireless and 3 is formed by acquisition node 1, routing node 2, and acquisition node 1 and routing node 2 are communicated by letter and 3 are connected by node wireless;
Described Internet 10 is comprised of coordinator node 4, records center 5 and node internet communication 6, is connected by node internet communication 6 between coordinator node 4 and records center 5;
Described application layer 11 is comprised of mobile phone 7 and PC 8, and mobile phone 7 and PC 8 carry out communication by wireless phone information.
In Fig. 1, sensing layer 9 and Internet 10 are carried out exchanges data by interlayer radio communication 12, and Internet 10 and application layer 11 are carried out exchanges data by interlayer internet communication 13.
In Fig. 2, acquisition node 1 is installed on the induced draft fan shell, be responsible for gathering the induced draft fan Operational Limits, parameter comprises voltage, electric current, temperature, rotating speed, vibration and noise signal, by node wireless communication 3, parameter is transferred to routing node 2, routing node 2 is transferred to acquisition node 1 by node wireless communication 3 with failure alarm signal.
In Fig. 3, coordinator node 4 is transferred to records center 5 by node internet communication 6 with the induced draft fan parameter, and records center 5 carries out analysing and processing by intelligent expert system to the induced draft fan parameter, and fault is carried out early warning and analysis.
In Fig. 4, mobile phone 7 and PC 8 are used for inquiring about the historical record of induced draft fan fault.
Claims (1)
1. the on-line monitoring and fault diagonosing of the induced draft fan based on Internet of Things system, it is characterized in that: this detection and diagnosis system comprises: sensing layer, Internet, application layer, interlayer radio communication and interlayer internet communication; Connect by the interlayer radio communication between sensing layer and Internet; Be connected by the interlayer internet communication between Internet and application layer;
Described sensing layer is communicated by letter and is formed with node wireless by acquisition node, routing node, and acquisition node and routing node communicate to connect by node wireless;
Described Internet is comprised of coordinator node, records center and node internet communication, is connected by the node internet communication between coordinator node and records center;
Described application layer is comprised of mobile phone and PC, and mobile phone and PC carry out communication by wireless phone information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013202603396U CN203297126U (en) | 2013-05-14 | 2013-05-14 | On-line exhaust fan monitoring and fault diagnosis system based on Internet of Things |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013202603396U CN203297126U (en) | 2013-05-14 | 2013-05-14 | On-line exhaust fan monitoring and fault diagnosis system based on Internet of Things |
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| Publication Number | Publication Date |
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| CN203297126U true CN203297126U (en) | 2013-11-20 |
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| CN2013202603396U Expired - Fee Related CN203297126U (en) | 2013-05-14 | 2013-05-14 | On-line exhaust fan monitoring and fault diagnosis system based on Internet of Things |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103244446A (en) * | 2013-05-14 | 2013-08-14 | 中国矿业大学 | Exhaust fan online monitoring and fault diagnosis system based on internet of things |
| CN104265358A (en) * | 2014-08-14 | 2015-01-07 | 中煤科工集团重庆研究院有限公司 | Portable wireless remote control command communication system device for mine intrinsic safety rescue detection robot |
| CN115479039A (en) * | 2022-09-10 | 2022-12-16 | 襄阳赛克斯电气股份有限公司 | Fan remote measurement and control system |
-
2013
- 2013-05-14 CN CN2013202603396U patent/CN203297126U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103244446A (en) * | 2013-05-14 | 2013-08-14 | 中国矿业大学 | Exhaust fan online monitoring and fault diagnosis system based on internet of things |
| CN103244446B (en) * | 2013-05-14 | 2015-12-02 | 中国矿业大学 | A kind of induced draft fan on-line monitoring and fault diagonosing system based on Internet of Things |
| CN104265358A (en) * | 2014-08-14 | 2015-01-07 | 中煤科工集团重庆研究院有限公司 | Portable wireless remote control command communication system device for mine intrinsic safety rescue detection robot |
| CN115479039A (en) * | 2022-09-10 | 2022-12-16 | 襄阳赛克斯电气股份有限公司 | Fan remote measurement and control system |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131120 Termination date: 20160514 |