CN203476397U - Underground coal self-ignition prediction integrated alarm device based on internet of things - Google Patents
Underground coal self-ignition prediction integrated alarm device based on internet of things Download PDFInfo
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- CN203476397U CN203476397U CN201320549624.XU CN201320549624U CN203476397U CN 203476397 U CN203476397 U CN 203476397U CN 201320549624 U CN201320549624 U CN 201320549624U CN 203476397 U CN203476397 U CN 203476397U
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- 239000003245 coal Substances 0.000 title claims abstract description 31
- 238000004891 communication Methods 0.000 claims abstract description 16
- 230000002269 spontaneous effect Effects 0.000 claims description 18
- 238000002485 combustion reaction Methods 0.000 claims description 16
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 claims description 6
- 229910052751 metal Inorganic materials 0.000 claims description 3
- 239000002184 metal Substances 0.000 claims description 3
- 229910052697 platinum Inorganic materials 0.000 claims description 3
- 238000013461 design Methods 0.000 abstract description 4
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 abstract 4
- 229910002091 carbon monoxide Inorganic materials 0.000 abstract 4
- 238000000034 method Methods 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000004861 thermometry Methods 0.000 description 2
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 239000000615 nonconductor Substances 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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- Measuring Temperature Or Quantity Of Heat (AREA)
Abstract
The utility model relates to an underground coal self-ignition prediction integrated alarm device based on internet of things, which is characterized by comprising a temperature measuring sensor, a carbon monoxide (CO) sensor, a microprocessor, a power module, an acousto-optic alarm module and a wireless communication module, wherein the temperature measuring sensor and the CO sensor are connected with one end of the microprocessor through an on-chip analog-digital converter, the acousto-optic alarm module and the wireless communication module are connected with the other end of the microprocessor through a serial communication port, and the power module is connected with the temperature measuring sensor, the CO sensor, the microprocessor, the acousto-optic alarm module and the wireless communication module. The underground coal self-ignition prediction integrated alarm device based on the internet of things is simple in structure, reasonable in design and convenient to operate.
Description
Technical field
The utility model relates to a kind of underground coal spontaneous combustion prediction comprehensive alarm device based on Internet of Things.
Background technology
As everyone knows, coal spontaneous combustion is one of major casualty of safe coal production always, and according to related data statistics, in Chinese State owned coal mine and state-owned local mine, Conflagration Caused by Coal Self-ignition number of times accounts for 94% of mine fire total degree, so to carry out early stage prediction extremely important to down-hole coal bed.Want to prevent and treat spontaneous combustionof coal disaster, coal spontaneous combustion prediction and alarm device is key equipment.Only have the degree of forecasting coal spontaneous combustion fast and accurately, could provide strong favourable technique guarantee for coal production.Existing spontaneous combustionof coal prediction methods mainly contains: spontaneous combustion tendency predicted method, comprehensively pass judgment on predicted method, thermometry, eudiometry, Computer Numerical Simulation method.These methods in actual use, have certain weak point.In prediction and alarm, adopt thermometry, although the method is directly perceived, very high to the requirement of prediction unit, the particularly selection of sensor, this can make cost greatly increase; Eudiometry, due to different mines, ature of coal can be different, this brings certain difficulty to selection and the quantification of indication gas, and be subject to the impact of the factor such as the depth of excavation, spontaneous combustion area overlying rock character, therefore truth that can not accurate forecast coal spontaneous combustion easily causes wrong report.Computer Numerical Simulation method, model is described the Mathematical Modeling of the interior flow field of airflow of underworkings and thermal field, it is basic that filter stream theory, gas diffusion theory, quality and law of conservation of energy are take in selection, take field data as known conditions, by computer simulation, resolved, predict the self-ignition fatalness prediction of goaf or dump.Owing to being subject to the interference of air-flow and extraneous factor, and model is to be again based upon in certain hypothesis, so the difference certain with physical presence.In a word, single method, can not solve well coal spontaneous combustion and quick and precisely forecast this problem
Summary of the invention
In order to overcome defect of the prior art, the utility model provides one one kinds of underground coal spontaneous combustion prediction comprehensive alarm devices based on Internet of Things, it is characterized in that comprising temperature transducer, CO sensor, microprocessor, power module, sound and light alarm module and wireless communication module, described temperature transducer is connected with one end of microprocessor with CO sensor, sound and light alarm module is connected with the other end of microprocessor with wireless communication module, described power module is to temperature transducer, CO sensor, microprocessor, sound and light alarm module and wireless communication module provide suitable power supply.
Described temperature transducer is selected metal platinum resistance PT100.0; CO sensor is selected KWS-ME3-CO.
Beneficial effect:
1. the utility model is simple in structure, reasonable in design, easy to operate;
2. prediction of the present utility model is quick and precisely spent highly, easy for installation, non-maintaining, and other similar devices cannot be accomplished;
3. generation of the present utility model, is applicable to the mine of various atures of coal, various geological conditionss.Have very wide range of application, other devices, do not have this point;
4. generation of the present utility model, adopts technology of Internet of things carries out networking, and network struction is easy, has exempted installation, wiring grade for work, greatly provides cost savings, and has alleviated the running cost of enterprise's related fields.
Accompanying drawing explanation
Below in conjunction with drawings and the embodiments, the utility model is described in further detail:
Fig. 1 is the utility model structural representation.
The specific embodiment
By finding out in figure, a kind of underground coal spontaneous combustion prediction comprehensive alarm device based on Internet of Things, comprise temperature transducer, CO sensor, microprocessor, power module, sound and light alarm module and wireless communication module, described temperature transducer is connected with one end of microprocessor with CO sensor, sound and light alarm module is connected with the other end of microprocessor with wireless communication module, and described power module connects temperature transducer, CO sensor, microprocessor, sound and light alarm module and radio communication mold.
When judgement coal spontaneous combustion development degree and scope, temperature is index the most directly and accurately, by measuring temperature and the distribution thereof of coal body, just can carry out prediction to coal spontaneous combustion, the temperature transducer that the utility model is selected, is metal platinum resistance PT100.0, this sensor, precision is high, practical, is that industry spot is first-selected.This patent is selected the XTR105 integrated circuit of American TI Company, this device can provide the Precision Current Component of two-way 0.8MA, so just resistance change can be converted to corresponding voltage variety, deliver in the A/D ALT-CH alternate channel of microcontroller, measure timely and accurately the temperature variations in coal body, in this patent, there are two thermometric passages, coal is the non-conductor that heat is transmitted, inner and the surperficial temperature by test coal body, and contrast the variation of inside and outside temperature, developmental state that more can accurate response coal spontaneous combustion.CO sensor is selected three-electrode electro Chemical formula CO gas sensor KWS-ME3-CO, and the utility model adopts constant potential design to control the method for working electrode, can not only improve the selective of sensing element, and can also improve its response performance.Adopt the sensing element of constant potential design generally can be designed to the low merit structure that volume is very little.Microcontroller is selected: u s company
C8051F020, this microcontroller, with 8 12 ADC passages, 2 12 DAC passages, like this, can be easily and temperature measurement circuit module, CO measurement module connects, and has greatly reduced the volume of warning device, be convenient to miniaturization, in addition, this controller also Embedded dual serial port, like this, can connect by wireless communication module, make the test data of warning device realize very easily wireless transmission, thereby without laying in advance communication cable, greatly saved hardware cost.Wireless communication module is selected the DRF1605H module of ancient cooking vessel Tyke, Shenzhen Electronics Co., Ltd., it is that a kind of UART turns ZigBee wireless transparent transport module series, by UART serial ports, can be connected with the controller of warning device easily, the highest 11.52KBPS that is set to of serial ports baud rate, wireless protocols adopts: ZigBee2007, the maximum distance of wireless transmission can reach 1600 meters, can meet the actual needs under coal mine.
Should be understood that these embodiment are only not used in restriction scope of the present utility model for the utility model is described.In addition should be understood that those skilled in the art can make various changes or modifications the utility model after having read the content of the utility model instruction, these equivalent form of values fall within the application's appended claims limited range equally.
Claims (2)
1. comprehensive alarm device is predicted in the underground coal spontaneous combustion based on Internet of Things, it is characterized in that comprising temperature transducer, CO sensor, microprocessor, power module, sound and light alarm module and wireless communication module, described temperature transducer is connected with one end of microprocessor with CO sensor, sound and light alarm module is connected with the other end of microprocessor with wireless communication module, and described power module provides suitable power supply to temperature transducer, CO sensor, microprocessor, sound and light alarm module and wireless communication module.
2. a kind of underground coal spontaneous combustion prediction comprehensive alarm device based on Internet of Things as claimed in claim 1, is characterized in that, described temperature transducer is selected metal platinum resistance PT100.0; CO sensor is selected KWS-ME3-CO.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320549624.XU CN203476397U (en) | 2013-09-05 | 2013-09-05 | Underground coal self-ignition prediction integrated alarm device based on internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320549624.XU CN203476397U (en) | 2013-09-05 | 2013-09-05 | Underground coal self-ignition prediction integrated alarm device based on internet of things |
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| Publication Number | Publication Date |
|---|---|
| CN203476397U true CN203476397U (en) | 2014-03-12 |
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| CN201320549624.XU Expired - Fee Related CN203476397U (en) | 2013-09-05 | 2013-09-05 | Underground coal self-ignition prediction integrated alarm device based on internet of things |
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| Country | Link |
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| CN (1) | CN203476397U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106837421A (en) * | 2017-01-06 | 2017-06-13 | 辽宁科技学院 | A kind of mine air prediction and high-temperature mine method |
| US11170217B2 (en) | 2019-08-30 | 2021-11-09 | Accenture Global Solutions Limited | Method and system for prediction and mitigation of spontaneous combustion in coal stock piles |
-
2013
- 2013-09-05 CN CN201320549624.XU patent/CN203476397U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106837421A (en) * | 2017-01-06 | 2017-06-13 | 辽宁科技学院 | A kind of mine air prediction and high-temperature mine method |
| US11170217B2 (en) | 2019-08-30 | 2021-11-09 | Accenture Global Solutions Limited | Method and system for prediction and mitigation of spontaneous combustion in coal stock piles |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140312 Termination date: 20140905 |
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| EXPY | Termination of patent right or utility model |