CN109212139A - Compartmentalization air pollution situation intelligent monitoring and controlling device - Google Patents
Compartmentalization air pollution situation intelligent monitoring and controlling device Download PDFInfo
- Publication number
- CN109212139A CN109212139A CN201811260280.4A CN201811260280A CN109212139A CN 109212139 A CN109212139 A CN 109212139A CN 201811260280 A CN201811260280 A CN 201811260280A CN 109212139 A CN109212139 A CN 109212139A
- Authority
- CN
- China
- Prior art keywords
- node
- sensor
- air quality
- quality monitoring
- monitoring data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital
- G01N33/0063—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital using a threshold to release an alarm or displaying means
- G01N33/0065—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital using a threshold to release an alarm or displaying means using more than one threshold
Abstract
The present invention provides compartmentalization air pollution situation intelligent monitoring and controlling device, which includes air pollution monitoring module, monitor terminal, line module；The air quality monitoring Data Concurrent that air pollution monitoring module is used to acquire in air quality monitoring region is sent to monitor terminal；The monitor terminal is connect with multiple line modules, and the air quality monitoring data received are sent to the multiple line module.
Description
Technical field
The present invention relates to air monitering technical fields, and in particular to compartmentalization air pollution situation intelligent monitoring and controlling device.
Background technique
Current Detection of Air Quality generally requires professional and visits with instrument, one time an of intelligent measurement
The data of point or a period, cannot reflect the variation of air quality, and be unable to multi-parameter while acquiring, can not be intelligent
The drawbacks such as networking.Air quality monitoring be mainly in air the conventional pollution factor and meteorologic parameter continuously exist within 24 hours
The data analyzed are supplied to client as the reference of air quality quality, and assist policy of environment protection by the monitoring of line, wherein to
Monitoring factors include: pollution particulate matter, carbon dioxide, oxygen, formaldehyde and other harmful substances etc..
Summary of the invention
In view of the above-mentioned problems, the present invention provides compartmentalization air pollution situation intelligent monitoring and controlling device.
The purpose of the present invention is realized using following technical scheme:
Compartmentalization air pollution situation intelligent monitoring and controlling device is provided, which includes air pollution monitoring module, monitoring
Terminal, multiple line modules；Air pollution monitoring module is used to acquire the air quality monitoring number in air quality monitoring region
According to air pollution monitoring module includes aggregation node and multiple sensor nodes, and sensor node acquires air quality monitoring number
According to and be sent to aggregation node, received air quality monitoring data of aggregation node convergence institute, and be sent to the monitor terminal；
The monitor terminal is connect with multiple line modules, and the air quality monitoring data received are sent to the multiple user
Module.
In one embodiment, sensor node is equipped with sensor module, and sensor module includes with lower sensor
It is one or more:
Dust sensor, the concentration for the dust pollution object in air quality monitoring region described in real-time detection；
PM2.5 sensor, the concentration for the PM2.5 pollutant in air quality monitoring region described in real-time detection；
Formaldehyde sensor, the concentration for the formaldehyde pollutants in air quality monitoring region described in real-time detection；
Toxic gas sensor, the concentration for the toxic gas in air quality monitoring region described in real-time detection；
Peculiar smell sensor, the concentration for the peculiar smell in air quality monitoring region described in real-time detection；
Carbon dioxide sensor, the concentration for the carbon dioxide in air quality monitoring region described in real-time detection.
In one embodiment, the monitor terminal includes the air quality prison for storing each sensor node acquisition
The information display unit of the storage unit of measured data, air quality monitoring data for showing the acquisition of each sensor node, with
And the release unit for air quality monitoring data to be sent to the multiple line module.
Further, the monitor terminal further includes online alarm unit, for dividing air quality monitoring data
Analysis, exports warning message when air quality monitoring data do not meet the threshold condition of setting.
The invention has the benefit that realizing the air quality in certain area using wireless sensor network technology
The acquisition of monitoring data, and the real-time release of air quality monitoring data can be completed.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural representation of the compartmentalization air pollution situation intelligent monitoring and controlling device of an illustrative embodiment of the invention
Block diagram；
Fig. 2 is the structural schematic block diagram of the monitor terminal of an illustrative embodiment of the invention.
Appended drawing reference:
Air pollution monitoring module 1, monitor terminal 2, line module 3, storage unit 10, information display unit 20, publication
Unit 30, online alarm unit 40.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the embodiment of the invention provides compartmentalization air pollution situation intelligent monitoring and controlling device, which includes sky
Gas pollution monitoring module 1, monitor terminal 2, multiple line modules 3；Air pollution monitoring module 1 is for acquiring air quality monitoring
Air quality monitoring data in region, air pollution monitoring module 1 include aggregation node and multiple sensor nodes, sensor
Node acquisition air quality monitoring Data Concurrent is sent to aggregation node, the received air quality monitoring number of aggregation node convergence institute
According to, and it is sent to the monitor terminal 2；The monitor terminal 2 is connect with multiple line modules 3, the air matter that will be received
Amount monitoring data are sent to the multiple line module 3.
In one embodiment, as shown in Fig. 2, the monitor terminal 2 includes for storing each sensor node acquisition
Air quality monitoring data storage unit 10, and air quality monitoring data for showing the acquisition of each sensor node
Information display unit 20.Monitor terminal 2 further includes for air quality monitoring data to be sent to the multiple line module 3
Release unit 30.
Further, the monitor terminal 2 further includes online alarm unit 40, for carrying out to air quality monitoring data
Analysis, exports warning message when air quality monitoring data do not meet the threshold condition of setting.The output warning message,
Including exporting warning message to multiple line modules 3 output warning message, and/or to information display unit 20.
The present embodiment realizes the timely early warning to air quality exception.
The wherein setting of threshold condition can be configured according to the actual situation.It in one embodiment, can be for not
Different level threshold values is set with air quality monitoring data, when air quality monitoring data determine beyond corresponding level threshold value
The air quality monitoring data are abnormal, and then export warning message.Wherein, which may include abnormal air quality
Monitoring data, and/or the position that abnormal air quality monitoring data generate.
In one embodiment, sensor node is equipped with sensor module, and sensor module includes with lower sensor
It is one or more:
Dust sensor, the concentration for the dust pollution object in air quality monitoring region described in real-time detection；
PM2.5 sensor, the concentration for the PM2.5 pollutant in air quality monitoring region described in real-time detection；
Formaldehyde sensor, the concentration for the formaldehyde pollutants in air quality monitoring region described in real-time detection；
Toxic gas sensor, the concentration for the toxic gas in air quality monitoring region described in real-time detection；
Peculiar smell sensor, the concentration for the peculiar smell in air quality monitoring region described in real-time detection；
Carbon dioxide sensor, the concentration for the carbon dioxide in air quality monitoring region described in real-time detection.
The above embodiment of the present invention utilizes wireless sensor network technology, realizes the air quality monitoring in certain area
The acquisition of data, and the real-time release of air quality monitoring data can be completed.
In a kind of mode that can be realized, sensor node acquisition air quality monitoring Data Concurrent, which is sent to convergence, to be saved
Point, comprising:
(1) when netinit, aggregation node constructs message to all the sensors node broadcasts neighboring node list, receives
After the neighboring node list constructs message, sensor node obtains information of neighbor nodes by information exchange, and constructs neighbours' section
Point list, wherein neighbor node is the other sensors node in sensor node communication range；Sensor node is by phase
For itself apart from the closer neighbor node of aggregation node alternately relay node, alternative relay node list is constructed；
(2) each sensor node calculate its in constructed alternative relay node list each alternative relay node it is initial
Degree of belief, and each alternative relay node is ranked up according to the descending sequence of initial trust degree:
(3) the most preceding alternative relay node of sensor node selected and sorted delays itself as next-hop node when initial
The air quality monitoring data deposited are sent to the next-hop node；
(4) after a period Δ t, sensor node updates the next-hop node according to the state of the next-hop node
Degree of belief, if the degree of belief of the next-hop node is less than preset degree of belief lower limit after updating, sensor node is next by this
Hop node is rejected from alternative relay node list, and is reselected in alternative relay node list in most preceding alternative of sequence
After node as next-hop node.
Wherein, initial trust degree is calculated according to the following formula:
In formula, UijIt (0) is initial trust degree of the sensor node i to its alternative relay node j, SikFor sensor node i
To the initial trust degree of its k-th alternative relay node, niFor the alternative relay node quantity that sensor node i has, YijFor
The alternative relay node quantity that the alternative relay node j has, YikFor described k-th alternative relay node have it is alternative in
After number of nodes, α, β are all preset degree of belief impact factor, and α, β are smaller than 1.
The present embodiment sets the routing forwarding mechanism that sensor node sends air quality monitoring data to aggregation node,
Wherein sensor node, apart from the closer neighbor node of aggregation node alternately relay node, will define sky relative to itself
The direction of gas monitoring data transmission, energy loss caused by avoiding routed path too long；The present embodiment be based on distance and away from
Neighbor node number two factors closer from aggregation node, further provide sensor node to each alternative relay node
The calculation formula of initial trust degree, by the calculation formula it is found that each alternative relay node of sensor node, with the sensor section
Apart from alternative relay node number that is closer, having, more alternative relay node has bigger initial trust degree to point, first
There is the alternative relay node of sensor node selected and sorted most preceding (initial trust degree is bigger) as next-hop node when the beginning
Conducive to the reliability for improving air quality monitoring data forwarding, the energy consumption of air quality monitoring data forwarding is saved；Work as sensor
When the degree of belief of the current next-hop node of node is lower than preset degree of belief lower limit, sensor node reselects next-hop section
Point is conducive to the energy consumption of balanced each alternative relay node.
Wherein, every next period Δ t, sensor node reacquire the air quality monitoring number of next-hop node
Its letter to the next-hop node is updated according to forwarding information, and according to the air quality monitoring data conversion transmission information of next-hop node
Ren Du.
Wherein, the preferred value of Δ t is 1 hour.Δ t can also be set as 2 hours or 30 minutes etc..
In a kind of mode that can be realized, sensor node updates the next-hop section according to the state of the next-hop node
The degree of belief of point, comprising: carry out information exchange with the next-hop node, obtain its current remaining information and at upper one
Air quality monitoring data conversion transmission information in period Δ t, according to the degree of belief of the information update of the acquisition next-hop node；
The wherein more new formula of the degree of belief are as follows:
In formula, Uij(w) indicate sensor node i updated after w-th of period Δ t to its alternative relay node j's
Degree of belief, Uij(w-1) letter to its alternative relay node j that sensor node i updates after the w-1 period Δ t is indicated
Ren Du, w >=1, sensor node i are U to the initial trust degree of its alternative relay node jij(0),
Wherein, PmaxFor preset upper energy limit, PminFor preset energy lower limit, PijIt (w) is sensor node i in w
The current remaining of the alternative relay node j obtained after a period Δ t,
Wherein, eij(w) sensor node i is helped to forward air in w-th of period Δ t for the alternative relay node j
The number of monitoring data packet, Ej(w) air quality is forwarded to supervise in w-th of period Δ t for the alternative relay node j
The total number of measured data packet, Eij(w) it is sent in w-th of period Δ t to the alternative relay node j for sensor node i
The total number of air quality monitoring data packet, g1For the degree of belief decay factor based on energy, g2For based on air quality monitoring number
According to the degree of belief decay factor of forwarding, g1∈ (0.1,0.2], g2∈ (0.2,0.3].
The present embodiment is based on two aspect factor of energy and air quality monitoring data forwarding validity, innovatively proposes
The more new formula of degree of belief, the more new formula can preferably reflect energy attenuation and air quality monitoring data forwarding efficiency
Influence to degree of belief.Its degree of belief to next-hop node is constantly updated in the time-based passage of sensor node, has one
Fixed robustness.The degree of belief that next-hop node is updated according to the more new formula is beneficial to that sensor node selection is promoted to work as
Preceding dump energy is bigger and the forwarding higher alternative relay node of air quality monitoring data efficiency is as next-hop, and then effectively
The energy consumption of each sensor node of equalising network improves the reliability that air quality monitoring data are transmitted to aggregation node.
In a kind of mode that can be realized, sensor node sets its distance threshold according to current remaining, if with
The distance of aggregation node is no more than the distance threshold of setting, then the air quality monitoring data of own cache is directly sent to remittance
Otherwise poly- node selects next-hop node in its alternative relay node list；The setting formula of the distance threshold are as follows:
In formula, HiIt (t) is distance threshold of the sensor node i in t-th of cycle set,It can for sensor node i
The maximum communication distance of adjusting,For the adjustable minimal communications distance of sensor node i, PiFor working as sensor node i
Preceding dump energy, PmaxFor preset upper energy limit, PminFor preset energy lower limit, δ is preset regulatory factor, the value of δ
Range is [0.85,0.95].
The present embodiment sets the setting formula of distance threshold, sensor section according to the current remaining of sensor node
If point is more than the distance threshold of setting at a distance from aggregation node, take the mode of transistroute by air quality monitoring data
It is transmitted to relay node, the rate of sensor node consumption energy is advantageously reduced, avoids sensor node rapid failure, effectively
Extend the duty cycle of sensor node.
Using above-mentioned wireless sensor network technology, the present invention realize the acquisition to air quality monitoring data and in real time
Publication.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. compartmentalization air pollution situation intelligent monitoring and controlling device, characterized in that including air pollution monitoring module, monitor terminal,
Line module；Air pollution monitoring module is used to acquire the air quality monitoring data in air quality monitoring region, and air is dirty
Dye monitoring modular includes aggregation node and multiple sensor nodes, sensor node acquisition air quality monitoring Data Concurrent send to
Aggregation node, the received air quality monitoring data of aggregation node convergence institute, and it is sent to the monitor terminal；The monitoring is eventually
End is connect with multiple line modules, and the air quality monitoring data received are sent to the multiple line module.
2. compartmentalization air pollution situation intelligent monitoring and controlling device according to claim 1, characterized in that sensor node is set
There is sensor module, sensor module includes with the one or more of lower sensor:
Dust sensor, the concentration for the dust pollution object in air quality monitoring region described in real-time detection；
PM2.5 sensor, the concentration for the PM2.5 pollutant in air quality monitoring region described in real-time detection；
Formaldehyde sensor, the concentration for the formaldehyde pollutants in air quality monitoring region described in real-time detection；
Toxic gas sensor, the concentration for the toxic gas in air quality monitoring region described in real-time detection；
Peculiar smell sensor, the concentration for the peculiar smell in air quality monitoring region described in real-time detection；
Carbon dioxide sensor, the concentration for the carbon dioxide in air quality monitoring region described in real-time detection.
3. compartmentalization air pollution situation intelligent monitoring and controlling device according to claim 1, characterized in that the monitor terminal
Storage unit including the air quality monitoring data for storing the acquisition of each sensor node, for showing each sensor node
The information display unit of the air quality monitoring data of acquisition, and it is the multiple for being sent to air quality monitoring data
The release unit of line module.
4. compartmentalization air pollution situation intelligent monitoring and controlling device according to claim 3, characterized in that the monitor terminal
Further include online alarm unit, for analyzing air quality monitoring data, does not meet and set in air quality monitoring data
Warning message is exported when fixed threshold condition.
5. compartmentalization air pollution situation intelligent monitoring and controlling device according to claim 1, characterized in that sensor node is adopted
Collection air quality monitoring Data Concurrent is sent to aggregation node, comprising:
(1) when netinit, aggregation node constructs message to all the sensors node broadcasts neighboring node list, receives the neighbour
After occupying node listing building message, sensor node obtains information of neighbor nodes by information exchange, and constructs neighbor node column
Table, wherein neighbor node is the other sensors node in sensor node communication range；Sensor node will be relative to
Itself constructs alternative relay node list apart from the closer neighbor node of aggregation node alternately relay node；
(2) each sensor node calculates its initial trust to each alternative relay node in constructed alternative relay node list
Degree, and each alternative relay node is ranked up according to the descending sequence of initial trust degree:
(3) the most preceding alternative relay node of sensor node selected and sorted is as next-hop node when initial, by own cache
Air quality monitoring data are sent to the next-hop node；
(4) after a period Δ t, sensor node updates the letter of the next-hop node according to the state of the next-hop node
Ren Du, if the degree of belief of the next-hop node is less than preset degree of belief lower limit after updating, sensor node is by the next-hop section
Point is rejected from alternative relay node list, and the alternative relaying section for sorting most preceding is reselected in alternative relay node list
Point is used as next-hop node.
6. compartmentalization air pollution situation intelligent monitoring and controlling device according to claim 1, characterized in that sensor node root
Its distance threshold is set according to current remaining, if being no more than the distance threshold of setting at a distance from aggregation node, directly will
The air quality monitoring data of own cache are sent to aggregation node, otherwise select next-hop in its alternative relay node list
Node；The setting formula of the distance threshold are as follows:
In formula, HiIt (t) is distance threshold of the sensor node i in t-th of cycle set,It is adjustable for sensor node i
Maximum communication distance,For the adjustable minimal communications distance of sensor node i, PiFor the current surplus of sensor node i
Complementary energy, PmaxFor preset upper energy limit, PminFor preset energy lower limit, δ is preset regulatory factor, the value range of δ
For [0.85,0.95].
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811260280.4A CN109212139A (en) | 2018-10-26 | 2018-10-26 | Compartmentalization air pollution situation intelligent monitoring and controlling device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811260280.4A CN109212139A (en) | 2018-10-26 | 2018-10-26 | Compartmentalization air pollution situation intelligent monitoring and controlling device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109212139A true CN109212139A (en) | 2019-01-15 |
Family
ID=64997224
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811260280.4A Withdrawn CN109212139A (en) | 2018-10-26 | 2018-10-26 | Compartmentalization air pollution situation intelligent monitoring and controlling device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109212139A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111711932A (en) * | 2020-06-16 | 2020-09-25 | 广州傲马科技有限公司 | Intelligent air pollution monitoring system based on big data |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101562569A (en) * | 2009-05-26 | 2009-10-21 | 中国科学院计算技术研究所 | Method and device for selecting forward nodes |
| CN102546691A (en) * | 2010-12-19 | 2012-07-04 | 西安联友电子科技有限公司 | Urban environmental data acquisition and monitor system based on wireless sensor networks |
| CN102665249A (en) * | 2012-04-25 | 2012-09-12 | 河海大学常州校区 | Atmospheric pollution monitoring system based on wireless sensor network |
| CN103237333A (en) * | 2013-04-01 | 2013-08-07 | 东南大学 | Cluster routing method based on multi-factor trust mechanism |
| CN103781147A (en) * | 2014-02-25 | 2014-05-07 | 哈尔滨工业大学 | Method of communication of wireless sensor network routing protocol on basis of fan-shaped clusters |
| US20160323839A1 (en) * | 2015-04-28 | 2016-11-03 | The Charles Stark Draper Laboratory, Inc. | Wireless Network for Sensor Array |
| CN106507423A (en) * | 2016-12-02 | 2017-03-15 | 中国人民解放军火箭军工程大学 | A kind of wireless sensor network routing method based on the reachable domain of dynamic |
| CN106604346A (en) * | 2016-11-29 | 2017-04-26 | 河南科技大学 | Wireless sensor network energy effective opportunistic routing protocol implementation method |
| CN107040973A (en) * | 2017-05-18 | 2017-08-11 | 陕西师范大学 | A kind of collecting method based on wireless sensor network |
| CN108429766A (en) * | 2018-05-29 | 2018-08-21 | 广西电网有限责任公司 | Network safety situation analyzing and alarming system based on big data and WSN technology |
| CN108540954A (en) * | 2018-01-02 | 2018-09-14 | 李文清 | air pollution real-time monitoring system |
| CN109187874A (en) * | 2018-09-26 | 2019-01-11 | 东莞幻鸟新材料有限公司 | Regional air quality intelligent real-time publishing system |
-
2018
- 2018-10-26 CN CN201811260280.4A patent/CN109212139A/en not_active Withdrawn
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101562569A (en) * | 2009-05-26 | 2009-10-21 | 中国科学院计算技术研究所 | Method and device for selecting forward nodes |
| CN102546691A (en) * | 2010-12-19 | 2012-07-04 | 西安联友电子科技有限公司 | Urban environmental data acquisition and monitor system based on wireless sensor networks |
| CN102665249A (en) * | 2012-04-25 | 2012-09-12 | 河海大学常州校区 | Atmospheric pollution monitoring system based on wireless sensor network |
| CN103237333A (en) * | 2013-04-01 | 2013-08-07 | 东南大学 | Cluster routing method based on multi-factor trust mechanism |
| CN103781147A (en) * | 2014-02-25 | 2014-05-07 | 哈尔滨工业大学 | Method of communication of wireless sensor network routing protocol on basis of fan-shaped clusters |
| US20160323839A1 (en) * | 2015-04-28 | 2016-11-03 | The Charles Stark Draper Laboratory, Inc. | Wireless Network for Sensor Array |
| CN106604346A (en) * | 2016-11-29 | 2017-04-26 | 河南科技大学 | Wireless sensor network energy effective opportunistic routing protocol implementation method |
| CN106507423A (en) * | 2016-12-02 | 2017-03-15 | 中国人民解放军火箭军工程大学 | A kind of wireless sensor network routing method based on the reachable domain of dynamic |
| CN107040973A (en) * | 2017-05-18 | 2017-08-11 | 陕西师范大学 | A kind of collecting method based on wireless sensor network |
| CN108540954A (en) * | 2018-01-02 | 2018-09-14 | 李文清 | air pollution real-time monitoring system |
| CN108429766A (en) * | 2018-05-29 | 2018-08-21 | 广西电网有限责任公司 | Network safety situation analyzing and alarming system based on big data and WSN technology |
| CN109187874A (en) * | 2018-09-26 | 2019-01-11 | 东莞幻鸟新材料有限公司 | Regional air quality intelligent real-time publishing system |
Non-Patent Citations (3)
| Title |
|---|
| 于旭 等: "《物联网信息安全》", 31 January 2014, 西安电子科技大学出版社 * |
| 包旭: "《延长无线传感器网络生命周期的相关算法研究》", 31 July 2017, 东南大学出版社 * |
| 张楠: "《无线传感器网络安全技术研究》", 31 August 2010, 西南交通大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111711932A (en) * | 2020-06-16 | 2020-09-25 | 广州傲马科技有限公司 | Intelligent air pollution monitoring system based on big data |
| CN111711932B (en) * | 2020-06-16 | 2021-04-02 | 浙江多普勒环保科技有限公司 | Intelligent air pollution monitoring system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106507423B (en) | A kind of wireless sensor network routing method based on the reachable domain of dynamic | |
| CN108965409B (en) | Intelligent real-time air quality monitoring system | |
| CN108055353B (en) | A kind of electric power construction field informationization supervision system based on wireless sensor network | |
| CN106297235B (en) | Method for routing foundation and meter register method for low-voltage electricity user centralized automatic meter-reading | |
| CN104869603B (en) | A kind of ZigBee method for routing suitable for wireless monitor control network | |
| CN104507134A (en) | Wireless data information acquisition system based on Internet of things | |
| CN107645755A (en) | A kind of farmland ecological environment monitoring system for precision agriculture | |
| Mahmoodi | Energy-aware routing in the cognitive packet network | |
| CN109212139A (en) | Compartmentalization air pollution situation intelligent monitoring and controlling device | |
| CN109115948A (en) | Urban air pollution object concentration over-standard early warning system | |
| CN109596492A (en) | A kind of indoor air quality monitoring system of real-time intelligent | |
| CN103763751A (en) | Data transmission method and system of wireless sensor network | |
| CN109001394A (en) | Farmland irrigating water's water quality monitoring system based on technology of Internet of things | |
| CN109195132A (en) | Air quality information intelligent acquisition and real-time broadcasting system | |
| CN109302692A (en) | Large-scale retaining dam structural damage intelligent real-time monitoring system | |
| CN109187874A (en) | Regional air quality intelligent real-time publishing system | |
| CN109191793A (en) | A kind of urban highway traffic pollutant emission area monitoring prior-warning device | |
| CN109195229A (en) | A kind of regional air quality information visualization device | |
| CN108922124A (en) | Ocean organic pollutant information acquisition system | |
| CN108965417A (en) | Farmland Soil Pollution wireless monitor system | |
| CN108900994A (en) | The continuous intelligent monitor system of waters organic pollutant | |
| Yuan | Computing optimal or near-optimal trees for minimum-energy in wireless networks | |
| CN108540954A (en) | air pollution real-time monitoring system | |
| CN114615678A (en) | Construction method based on dynamic tree network flow model | |
| CN110068652A (en) | A kind of Intelligent indoor air-quality monitoring system based on technology of Internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190115 |