CN103209501A - Kiln smoke detecting system based on wireless sensor network - Google Patents

Kiln smoke detecting system based on wireless sensor network Download PDF

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Publication number
CN103209501A
CN103209501A CN2013101342054A CN201310134205A CN103209501A CN 103209501 A CN103209501 A CN 103209501A CN 2013101342054 A CN2013101342054 A CN 2013101342054A CN 201310134205 A CN201310134205 A CN 201310134205A CN 103209501 A CN103209501 A CN 103209501A
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data
module
sensor node
flue gas
index
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CN2013101342054A
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吴乐刚
黄鹂
宋执环
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HANGZHOU SANYUN TECHNOLOGY Co Ltd
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HANGZHOU SANYUN TECHNOLOGY Co Ltd
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Abstract

The invention discloses a kiln smoke detecting system based on a wireless sensor network. The kiln smoke detecting system comprises a data collecting system, a sensor network system and a data processing system. The data collecting system is connected with the data processing system through the sensor network system. The data collecting system comprises a component data collector, an environment data collector and an image collector. The sensor network system comprises a sensor node and a gateway node. The data processing system comprises an application server, a data server and a management terminal module. The sensor system communicates with the application server, and the application server communicates with the data server and the management terminal module. The kiln smoke detecting system mainly achieves the effect that a sensor standard interface of kiln smoke comprehensive detection determines the existing pollution source and a potential pollution source in an area based on kiln smoke pollution comprehensive evaluation of a plurality of indexes.

Description

Stove flue gas detection system based on radio sensing network
Technical field
The present invention relates to stove flue gas detection technique field, relate in particular to a kind of stove flue gas detection system based on radio sensing network.
Background technology
Materials such as the particle in the stove flue gas, sulfide, bioxin are quite extensive to the harm of air quality, and have the advantages that to be difficult to centralized detecting and comprehensive assessment.Traditional stove tail gas detection system is to detect certain specific material, owing to be limited by specific (special) requirements such as checkout equipment installation, power supply, checkout equipment is design and installation when engineering construction usually, in case detecting index and detection method changes, usually need be to the transformation of stopping work of original stove, influence produce and cost higher.
Tradition stove flue gas detection system is the part of stove production control system, stove flue gas testing result is a feedback input of stove production control normally, when harmful substance is not up to standard in the stove flue gas, do not allow to discharge and proceed circularly purifying and handle, till the flue gas harmful substance contents is up to standard.With the advantage of the integrated flue gas detection system of production control system be to feed back input, circularly purifying, the system availability height, but handle because this system need suck flue gas not up to standard again, this detection system is common not in the position of fume emission point, but is positioned at before the direct emission point, therefore testing result is not the data of direct emission point, because this system is that factory or enterprise build voluntarily, its data do not possess objectivity, can not be as the sampled data of supervision units such as Environmental Protection Agency.
Stove flue gas detection technique is the high-tech technology that development in recent years is got up, the stove flue gas detects for administering air pollution very necessary, set up detection and the warning system of stove flue gas and can in time find the source of atmospheric pollution, find potential pollution source by assessment, avoid the expansion of polluting.Owing to contain the multiple material that causes air pollution in the stove flue gas, the pollutant component proportional difference of different stoves is bigger, be difficult to calculate the comprehensive pollution indexes of stove flue gas, standard GB 9078-1996 " industrial furnace atmosphere pollutants emission standards " has stipulated the concentration maximum of various materials permission dischargings in the stove flue gas, but, combination less than the various materials of discharge standard also may bring serious pollution, and the result who this combination is carried out comprehensive assessment more can react actual pollution condition.China recent years has some units to begin to carry out pollution comprehensive assessment work gradually, but normally to the assessment of a certain regional water quality, air, soil, noise etc., some units are also arranged at stove smoke pollution comprehensive detection and assessment, but also have following a series of problems in actual the use.
Use the stove flue gas detection system of bus-type, need analyze the room in the construction of stove emission point annex, and the power supply of checkout equipment and signal transmission all need special wiring.The shortcoming of this mode is that the installing engineering amount is big, and on-the-spot the needs laid special cable, needs time-based maintenance and maintenance.Particularly some adopt the stove of smoke stack emission, highly generally surpass 15 meters, and maintenance and maintenance work cost are higher.And stove is widely distributed, adopts to analyze to transfer data to mode data objectivity and the real-time deficiency of supervising unit after industrial computer analysis and transmission data are installed in the room.
Use a plurality of detection systems to obtain smoke pollution material content data, the sample frequency of each detection system, accuracy, transmission means there are differences, and the major defect of this mode is system's repeated construction waste investment, and the comprehensive assessment data are insufficient.
Summary of the invention
Problem at above-mentioned prior art exists the invention provides a kind of stove flue gas on-line detecting system based on radio sensing network.
To achieve these goals, the technical solution used in the present invention is: a kind of stove flue gas on-line detecting system based on radio sensing network, comprise data acquisition system, sensor node, network transmission module and office terminal module, data acquisition system detects smoke components, ambient conditions and gathers image, to network transmission module, network transmission module is transferred to office terminal module with data by Internet by the GPRS/3G network to sensor node transfer of data.
As preferably, data acquisition system comprises dust concentration detector, blackness of exhaustion detector, sulfur dioxide concentration detector, and detector is electrically connected with sensor node microcontroller input module.
As preferably, sensor node comprises temperature sensor, humidity sensor, intensity of illumination transducer, and sensor node comprises the Zigbee node module.
As preferably, sensor node also comprises imageing sensor, and imageing sensor comprises the Bluetooth transmission module.
As preferably, network transmission module comprises the Zigbee gateway module, the Bluetooth transmission module, the GPRS/3G communication module, after network transmission module is received the data of Zigbee node module transmission, transfer data to the office terminal module by the GPRS/3G communication module, network transmission module transfers data to the office terminal module by the GPRS/3G communication module after receiving the data of imageing sensor node Bluetooth transmission module transmission.
As preferably, the sensor node microcontroller adopts single-chip microcomputer.
As preferably, network transmission module adopts the ARM system.
A kind of smoke dust of furnace kiln detection method based on radio sensing network, comprise data acquisition system, sensing network and data processing platform (DPP), described data acquisition system is connected to data processing platform (DPP) by sensing network, sensing network comprises sensor node and transport gateway node, data processing platform (DPP) comprises application server, data server and office terminal module, sensing network and application server communication, application server and data server, office terminal module communication.
As preferably, data server is communicated by letter by Ethernet with application server, and application server is communicated by letter by Ethernet/Internet with the office terminal.
Compared with prior art, the invention has the advantages that: emphasis of the present invention has solved the problem of stove various pollutants of fume matter concentration data while online acquisition and transmission, and adopting radio sensing network need not is the transfer of data wiring; Stove fume emission distribution map in the data drawing area of uploading based on radio sensing network, definite regional presence of pollution sources and potential pollution source that can intuitive and convenient; The present invention proposes a kind of many index comprehensives of stove smoke pollution index appraisal procedure, adopt the pollution index of analytic hierarchy process (AHP) COMPREHENSIVE CALCULATING stove flue gas, the pollution condition of quantitative understanding stove flue gas.
The present invention for prevent the stove smoke pollution provide a cover reliable, efficient, continue, detection system cheaply, set up simple, low with the factory existing control system degree of coupling, for factory, stove fume emission supervision unit provide reliably a kind of and detection method independently.
Description of drawings
Fig. 1 is systematic functional structrue block diagram of the present invention
Fig. 2 is data transmission scheme of the present invention
Fig. 3 is transmission node structure chart of the present invention
Fig. 4 is that system of the present invention disposes topological diagram
Fig. 5 is stove smoke pollution comprehensive estimation method of the present invention
Embodiment
The present invention will be further described below in conjunction with accompanying drawing.
As one embodiment of the present invention, as shown in Figure 1, data acquisition system of the present invention is made up of compositional data collector, environmental data collector, image acquisition device, data acquisition unit is connected with sensor node, sensor node is connected with gateway node, gateway node is connected with application server, and application server is connected with database server, and the office terminal module is connected with application server.An environmental data collector is connected with a sensor node, and one group of sensor node of same stove is connected with same gateway node, and the gateway node of different stoves is connected with same application server.
As shown in Figure 2, compositional data collector, environmental data collector corresponding sensor node and gateway node adopt the Zigbee communication, image acquisition device corresponding sensor node and gateway node adopt bluetooth communication, by the tcp/ip communication based on the GPRS/3G network connection, pass through the tcp/ip communication based on Internet/Ethernet between office terminal module and the application server between gateway node and the application server.
As shown in Figure 3, compositional data collector, environmental data collector, image acquisition device link to each other with microcontroller by the I/O module, analog-to-digital conversion module links to each other with microcontroller, analog-to-digital conversion module is responsible for compositional data collector, environmental data collector are carried out analog-to-digital conversion, image processing module links to each other with microcontroller, and image processing module is responsible for the image of image acquisition device collection is carried out preliminary treatment.The Zigbee transceiver module of sensor node and the Zigbee transceiver module of gateway node are by the Zigbee protocol communication, and the benefit of Zigbee communication is to handle the little high-frequency data of single data volume, the transfer of data low-power consumption, and the reliability height need not wiring.The bluetooth transceiver module of sensor node is communicated by letter by Bluetooth technology with the bluetooth transceiver module of gateway node, and the benefit of bluetooth communication is to transmit data bigger in the image, and transfer of data need not wiring, reliability height.
As shown in Figure 4, sensing node, the gateway node of a stove have network of one's own, are independent of the sensor node of other stoves, the network that gateway node is formed.The gateway node of each stove is by GPRS/3G network insertion provider switch, and two application servers are fully warm each other, and application server, database server are connected by fire compartment wall with Internet and isolate.Application server is collected from the field data of gateway node, adopt analytic hierarchy process (AHP) as shown in Figure 5 to calculate stove smoke comprehensive pollution index, to portable terminal, PC, LCD bulletin screen issue stove smoke comprehensive pollution index and stove smoke components data, environmental data, view data.
As shown in Figure 5, many index comprehensives of stove flue gas appraisal procedure adopts analytic hierarchy process (AHP) to calculate stove smoke comprehensive pollution index, and the big index of stove flue gas assessment comprises pollutes pathogenic index, greenhouse effect index, weather effect index, crops influence index, other indexs.The contaminative index comprises smoke content, content of sulfur dioxide, bioxin content, content of fluoride, lead content, mercury content, the greenhouse effect index comprises carbon dioxide content, flue gas flow, flue gas flow, flue-gas temperature, smoke moisture, the weather effect index comprises smoke content, sulfide content, flue gas flow, blackness of exhaustion, flue-gas temperature, the crops influence index comprises smoke content, sulfide content, flue gas flow, blackness of exhaustion, and other indexs comprise the scene photograph manual evaluation.Weight between the big index weight of method of comparison calculating in twos, all big index weight summations are 1, the weight of method of comparison calculating in twos of the weight between the little index that each big index comprises, the little finger of toe mark weight summation that each big index comprises is 1.Stove sensor node as shown in Figure 3 provides little achievement data by gateway node, and little finger of toe mark initial data is done the membership function analysis, and the big index of stove smoke pollution and stove smoke pollution composite index are calculated in the analysis result input.
Although be that a most practical and preferred embodiment has been described the present invention in conjunction with current taking as, but be to be understood that, the invention is not restricted to the disclosed embodiments, and be intended to contain multiple modification and equivalent arrangements included in the spirit and scope of the appended claims on the contrary.

Claims (7)

1. stove flue gas detection system based on radio sensing network, comprise data acquisition system, sensor node, network transmission module, data processing module and office terminal module, data acquisition system is connected with sensor node, sensor node is connected with network transmission module, network transmission module is connected with data processing module, data processing module is connected with the office terminal module, it is characterized in that: described data acquisition system comprises the smoke components data acquisition unit, environmental data collector, image acquisition device, described sensor node comprises microcontroller, described data acquisition system connects sensor node by the I/O module of sensor node, and sensor node links to each other with data processing module by network transmission module.
2. the stove flue gas detection system based on radio sensing network according to claim 1, it is characterized in that: smoke components data acquisition unit, environmental data collector connect sensor node, and sensor node is connected with network transmission module by the Zigbee communication module.
3. the stove flue gas detection system based on radio sensing network according to claim 1 is characterized in that: image acquisition device connects sensor node, and sensor node is connected with the network data transmission module by bluetooth module.
4. the stove flue gas detection system based on radio sensing network according to claim 1, it is characterized in that: network transmission module comprises Zigbee communication module, bluetooth communication, GPRS/3G data transmission module, and the stove flue gas detects data and is connected with data processing module by the GPRS/3G data transmission module.
5. the stove flue gas detection system based on radio sensing network according to claim 1, it is characterized in that: data processing module adopts analytic hierarchy process (AHP) assessment stove smoke comprehensive pollution index, estimate big index and comprise the pathogenic index of pollution, greenhouse effect index, weather effect index, crops influence index and other indexs, the weight of big index adopts in twos, and method of comparison calculates, big index is calculated by little index, little finger of toe target weight adopts in twos that method of comparison calculates, and the little finger of toe target value derives from data acquisition system.
6. the stove flue gas detection system based on radio sensing network according to claim 1 is characterized in that: communicate by letter by the ICP/IP protocol based on Intemet/Ethernet between data processing module and the office terminal module.
7. the stove flue gas detection system based on radio sensing network according to claim 1, it is characterized in that: the office terminal module is showed in intelligent terminal, PC and LCD display.
CN2013101342054A 2013-04-16 2013-04-16 Kiln smoke detecting system based on wireless sensor network Pending CN103209501A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103685462A (en) * 2013-11-05 2014-03-26 郭皓升 Ecological agricultural environment intelligent monitoring system based on ZigBee network
CN104457846A (en) * 2014-11-14 2015-03-25 国家电网公司 Flue gas emission monitoring method
CN104932350A (en) * 2015-05-26 2015-09-23 广东中鹏热能科技有限公司 Kiln control management system
CN105023191A (en) * 2015-07-24 2015-11-04 金川集团股份有限公司 Online recursive calculation method for fume occurrence rate of metallurgical furnace
CN106918682A (en) * 2017-05-08 2017-07-04 秦皇岛海涛万福环保设备股份有限公司 A kind of flue gas real time on-line monitoring system in the smoke eliminator for Cremation Machine
CN106993007A (en) * 2016-01-20 2017-07-28 深圳市华威世纪科技股份有限公司 Safety production monitoring system based on many intelligent sensing networks
CN115499337A (en) * 2022-10-10 2022-12-20 江苏红网技术股份有限公司 Data quality management system based on scene analysis

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CN101545897A (en) * 2009-04-14 2009-09-30 汤雄 Gas monitoring system based on ZigBee technology
US20100110437A1 (en) * 2008-11-06 2010-05-06 Li-Cor, Inc. Gas analyzer
CN102565297A (en) * 2012-01-06 2012-07-11 浙江大学 Surface water quality evaluation method based on combined weight
CN202443571U (en) * 2012-02-24 2012-09-19 中国矿业大学 Multi-sensor perception node under complex environment

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Publication number Priority date Publication date Assignee Title
US20100110437A1 (en) * 2008-11-06 2010-05-06 Li-Cor, Inc. Gas analyzer
CN101545897A (en) * 2009-04-14 2009-09-30 汤雄 Gas monitoring system based on ZigBee technology
CN102565297A (en) * 2012-01-06 2012-07-11 浙江大学 Surface water quality evaluation method based on combined weight
CN202443571U (en) * 2012-02-24 2012-09-19 中国矿业大学 Multi-sensor perception node under complex environment

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103685462A (en) * 2013-11-05 2014-03-26 郭皓升 Ecological agricultural environment intelligent monitoring system based on ZigBee network
CN104457846A (en) * 2014-11-14 2015-03-25 国家电网公司 Flue gas emission monitoring method
CN104932350A (en) * 2015-05-26 2015-09-23 广东中鹏热能科技有限公司 Kiln control management system
CN105023191A (en) * 2015-07-24 2015-11-04 金川集团股份有限公司 Online recursive calculation method for fume occurrence rate of metallurgical furnace
CN105023191B (en) * 2015-07-24 2019-01-22 金川集团股份有限公司 A kind of online recurrence calculation method of metallurgical furnace kiln flue dust incidence
CN106993007A (en) * 2016-01-20 2017-07-28 深圳市华威世纪科技股份有限公司 Safety production monitoring system based on many intelligent sensing networks
CN106918682A (en) * 2017-05-08 2017-07-04 秦皇岛海涛万福环保设备股份有限公司 A kind of flue gas real time on-line monitoring system in the smoke eliminator for Cremation Machine
CN115499337A (en) * 2022-10-10 2022-12-20 江苏红网技术股份有限公司 Data quality management system based on scene analysis

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Application publication date: 20130717