CN109212153A - A kind of water quality monitoring system based on wireless sensor network - Google Patents
A kind of water quality monitoring system based on wireless sensor network Download PDFInfo
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- CN109212153A CN109212153A CN201811204780.6A CN201811204780A CN109212153A CN 109212153 A CN109212153 A CN 109212153A CN 201811204780 A CN201811204780 A CN 201811204780A CN 109212153 A CN109212153 A CN 109212153A
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- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
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Abstract
The invention discloses a kind of water quality monitoring system based on wireless sensor network, which includes water monitoring device, base station equipment and water quality monitoring center;The water monitoring device includes multiple sensor nodes, and the sensor node is monitored perception to waters to be monitored, and the water quality condition sensing data of acquisition is sent to the base station equipment;The base station equipment converges the water quality condition sensing data that each sensor node is sent, and the water quality monitoring center is forwarded to after being handled;The water quality condition sensing data that the water quality monitoring center is used to send the base station equipment is analyzed and processed and shows, and alarms in water quality condition sensing data exception.The water quality monitoring system realizes to the comprehensive of waters to be monitored, many reference amounts monitoring by the multiple sensor nodes being arranged in waters to be monitored, substantially increases the precision of monitoring.
Description
Technical field
The present invention relates to technical field of wireless, and in particular to a kind of water quality monitoring based on wireless sensor network
System.
Background technique
Water environment monitoring is the basis of environmental protection, and the purpose is to provide the foundation of science decision for environmental protection.When
River, lake etc. happen suddenly water environment pollution accident when, existing conventional means cannot achieve it is rapid, accurate, dynamically monitoring with it is pre-
Report, so that being difficult to quickly, properly make a policy.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of water quality monitoring system based on wireless sensor network.
The purpose of the present invention is realized using following technical scheme:
A kind of water quality monitoring system based on wireless sensor network, the water quality monitoring system include water monitoring device,
Base station equipment and water quality monitoring center;The water monitoring device includes multiple sensor nodes, and the sensor node is treated
Monitoring waters is monitored perception, and the water quality condition sensing data of acquisition is sent to the base station equipment;The base station is set
The standby water quality condition sensing data for converging each sensor node and sending, is forwarded to the water quality monitoring center after being handled;Institute
Water quality condition sensing data of the water quality monitoring center for sending the base station equipment is stated to be analyzed and processed and show, and
It alarms when water quality condition sensing data exception.
Preferably, water quality condition sensing data includes the temperature in waters to be monitored, pH value, refractive index, conductivity and/or molten
Solve oxygen content.
Preferably, water quality monitoring center includes data processor and display;The water quality condition that data processor will receive
Sensing data is compared with the secure threshold of corresponding setting, exports comparison result, and shown by display compared result
Show.
Preferably, which further includes the alarm connecting with data processor, when water quality condition senses number
When according to beyond the corresponding secure threshold set, data processor driving alarm is alarmed.
Preferably, at least one following sensors built in sensor node: temperature sensor, for acquiring at point to be monitored
Temperature;PH value sensor, for acquiring the pH value at point to be monitored;Index sensor, for acquiring at point to be monitored
Refractive index;Conductivity sensor, for acquiring the conductivity at point to be monitored;Dissolved oxygen content sensor, for acquiring wait supervise
Dissolved oxygen content at measuring point.
The invention has the benefit that the present invention provides a kind of water quality monitoring system based on wireless sensor network,
The water quality monitoring system realizes the full side to waters to be monitored by the multiple sensor nodes being arranged in waters to be monitored
Position, many reference amounts monitoring, substantially increase the precision of monitoring.
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 block schematic illustration of one embodiment of the invention water quality monitoring system;
Fig. 2 is the frame construction drawing at the water quality monitoring center of one embodiment of the invention.
Appended drawing reference: water monitoring device 1;Base station equipment 2;Water quality monitoring center 3;Alarm 4;Data processor 31;
Display 32.
Specific embodiment
The invention will be further described with the following Examples.
Fig. 1 shows a kind of water quality monitoring system based on wireless sensor network, which includes water quality
Monitoring device 1, base station equipment 2 and water quality monitoring center 3;Water monitoring device 1 includes multiple sensor nodes, sensor node
Perception is monitored to waters to be monitored, and the water quality condition sensing data of acquisition is sent to base station equipment 2;Base station equipment 2
The water quality condition sensing data that each sensor node is sent is converged, water quality monitoring center 3 is forwarded to after being handled;Water quality monitoring
The water quality condition sensing data that center 3 is used to send base station equipment 2 is analyzed and processed and shows, and senses in water quality condition
It alarms when data exception.
The utility model has the advantages that the present invention provides a kind of water quality monitoring system based on wireless sensor network, the water quality monitoring
System realizes comprehensive, many reference amounts to waters to be monitored by the multiple sensor nodes being arranged in waters to be monitored
Monitoring, substantially increases the precision of monitoring.
Preferably, water quality condition sensing data includes the temperature in waters to be monitored, pH value, refractive index, conductivity and/or molten
Solve oxygen content.
Preferably, referring to fig. 2, water quality monitoring center 3 includes data processor 31 and display 32;Data processor 31 will
The water quality condition sensing data received is compared with the secure threshold of corresponding setting, exports comparison result, and by display 32
Compared result is shown.
Preferably, which further includes the alarm 4 connecting with data processor, when water quality condition senses number
When according to beyond the corresponding secure threshold set, data processor 31 drives alarm 4 to alarm.
Preferably, at least one following sensors built in sensor node: temperature sensor, for acquiring at point to be monitored
Temperature;PH value sensor, for acquiring the pH value at point to be monitored;Index sensor, for acquiring at point to be monitored
Refractive index;Conductivity sensor, for acquiring the conductivity at point to be monitored;Dissolved oxygen content sensor, for acquiring wait supervise
Dissolved oxygen content at measuring point.
Preferably, in wireless sensor network Startup time, base station equipment 2 carries out sub-clustering to sensor node, determines and makees
For the sensor node of cluster head, and remaining sensor node is as bunch member node;Bunch member node is for acquiring water quality shape
State sensing data and the cluster head that water quality condition sensing data is sent to affiliated cluster;Cluster head is used for the water quality condition for acquiring itself
Sensing data and the water quality condition sensing data received are forwarded to base station equipment 2.
Preferably, base station equipment 2 carries out sub-clustering to sensor node, specifically:
(1) determine N number of sensor node as interim cluster head from sensor node;
(2) N number of interim cluster head is screened, specifically: using between following formula the calculating interim cluster head a of any two, b
It is associated with angle value, if association angle value is greater than the degree of association threshold value of setting, the lesser interim cluster head of one of energy is reverted to
Bunch member node;
In formula, association angle value of the REL (a, b) between interim cluster head a and interim cluster head b,Respectively interim cluster
The primary power value of first a, b, Ea、EbThe current remaining value of respectively interim cluster head a, b, SNRa、SNRbRespectively interim cluster
The current signal of first a, b, d (a, BS) are the distance between interim cluster head a and the base station equipment BS, and d (b, BS) is interim
The distance between cluster head b and the base station equipment BS, d (a, b) are the distance between interim cluster head a and interim cluster head b;
(3) it will be still the sensor node cluster head final as the wireless sensor network of interim cluster head, become cluster
First sensor node carries out cluster broadcast, does not belong to and is communicated with apart from nearest cluster as the sensor node of cluster head
Head becomes the bunch member node of corresponding cluster head.
The utility model has the advantages that when carrying out sub-clustering, since sensor node is excessively intensive, it is more likely that it is excessively intensive cluster head occur
The case where, by the way that the association angle value calculated between the interim cluster head of any two is compared with the degree of association threshold value of setting, into
And complete screening, and when being screened, not only allow for the primary power values of two interim cluster heads, current remaining value,
The influence of current signal, and the influence of distance factor is considered, which avoids the occurrence of cluster head is overstocked, so that
That arrives is cluster structured more reasonable, and when confirming cluster head, selects the maximum interim cluster head of residual energy magnitude as most always
Whole cluster head, this is more advantageous to network energy equilibrium, improves the stability of system.
Preferably, it is described determined from sensor node N number of sensor node as interim cluster head, specifically:
It (1) is N number of region by waters random division to be monitored;
(2) for the sensor node in each region, each sensor node is calculated according to customized new probability formula and is worked as
It is selected as the probability value of interim cluster head:
In formula, P (j) indicates that sensor node j is elected as the probability value of interim cluster head, RjIndicate that sensor node j's is logical
Believe that radius, A indicate to be located at the sensor node number in the same area with sensor node j, (j a) indicates sensor node j to d
With its between a-th of sensor node in the same area at a distance from, and a=1,2 ..., A, d (j, BS) indicate sensor section
Point j is at a distance from base station equipment 2, EjIndicate the current remaining value of sensor node j, EaIndicate a-th of sensor node
Current remaining value, DjIndicate the network connectivity of sensor node j, DaIndicate the network-in-dialing of a-th of sensor node
Degree, η1、η2And η3For weight coefficient, and meet η1+η2+η3=1;
(3) it is directed to each region, selects the sensor node of maximum probability value in each region as interim cluster head.
The utility model has the advantages that waters to be monitored is divided into multiple regions first, for each region, calculates in each region and pass
Sensor node becomes the probability value of interim cluster head, when solving sensor node becomes the probability value of interim cluster head, it is contemplated that passes
Sensor node j with other between the sensor node in the same area at a distance from, between sensor node j and base station equipment 2
Distance, the factor of the network connectivity of sensor node current remaining value and each sensor node influence, should
Way improves the reasonability of sub-clustering, so that the biggish sensor node of dump energy becomes interim cluster head, it is effective balanced whole
The energy consumption of a wireless sensor network extends the Network morals.
Preferably, after completion sub-clustering.Periodically cluster head is detected, if cluster head current remaining value is lower than setting
When energy threshold, select the maximum bunch member node of the credit value in the cluster of the cluster head as new cluster head, wherein cluster member section
The calculation formula of the credit value of point m are as follows:
In formula, F (m) indicates that the credit value of bunch member node m, g indicate the cluster where bunch member node m, DmIndicate cluster at
Distance of the member node m to the center of cluster where it, NgIndicate bunch member node number, Area in the clustergFor the cluster g area of coverage
The area in domain, DgIndicate sum of the distance of all bunch member nodes to the center of the cluster in the cluster, Eres(m) cluster is indicated
The current remaining value of member node m, Eres(n) the current remaining value of n-th of bunch member node, and n=1 are indicated,
2,…,Ng, b, c, ω1For weight coefficient, and 0 < ω1< 1, the center of cluster refer to the center of the cluster overlay area.
The utility model has the advantages that when the current remaining of cluster head is lower than the energy threshold set, passing through when carrying out cluster head detection
The credit value for calculating other bunch member nodes its cluster Nei selects the maximum bunch member node of credit value as new cluster head, the calculation
Method consider bunch member node current remaining value and bunch member node to the cluster center of place cluster distance factor
Influence, not only make the biggish bunch member node of dump energy become new cluster head, but also also ensure data dissemination path
Terseness, reduce the energy consumption when carrying out data transmission, extend the life cycle of the wireless sensor network.Together
When being screened to cluster head, select cluster head by being calculated as the probability value of cluster head, when being replaced to cluster head, if
The energy threshold for exiting cluster head is set, can guarantee that node can complete more multiple data transmission during serving as cluster head in this way
Work, avoids frequently replacing cluster head bring network " shake " phenomenon, reduces the energy consumption of wireless sensor network.
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 (7)
1. a kind of water quality monitoring system based on wireless sensor network, characterized in that including water monitoring device, base station equipment
With water quality monitoring center;The water monitoring device includes multiple sensor nodes, and the sensor node is to waters to be monitored
It is monitored perception, and the water quality condition sensing data of acquisition is sent to the base station equipment;The base station equipment convergence is each
The water quality condition sensing data that sensor node is sent, is forwarded to the water quality monitoring center after being handled;The water quality prison
Measured center is used for the water quality condition sensing data that sends to the base station equipment and is analyzed and processed and shows, and in water quality condition
It alarms when sensing data exception.
2. water quality monitoring system according to claim 1, characterized in that the water quality condition sensing data includes to be monitored
Temperature, pH value, refractive index, conductivity and/or the dissolved oxygen content in waters.
3. water quality monitoring system according to claim 1, characterized in that the water quality monitoring center includes data processor
And display;The water quality condition sensing data received is compared by the data processor with the secure threshold of corresponding setting,
Comparison result is exported, and is shown by the display compared result.
4. water quality monitoring system according to claim 3, characterized in that further include the report being connect with the data processor
Alert device, when secure threshold of the water quality condition sensing data beyond corresponding setting, the data processor driving alarm is carried out
Alarm.
5. water quality monitoring system according to claim 1-4, characterized in that at least one built in sensor node
Following sensors:
Temperature sensor, for acquiring the temperature at point to be monitored;
PH value sensor, for acquiring the pH value at point to be monitored;
Index sensor, for acquiring the refractive index at point to be monitored;
Conductivity sensor, for acquiring the conductivity at point to be monitored;
Dissolved oxygen content sensor, for acquiring the dissolved oxygen content at point to be monitored.
6. water quality monitoring system according to claim 1-4, characterized in that in wireless sensor network starting
It carves, the base station equipment carries out sub-clustering to sensor node, it is determined as the sensor node of cluster head, and remaining sensor section
Point is used as bunch member node;Bunch member node is for acquiring water quality condition sensing data and being sent to water quality condition sensing data
The cluster head of affiliated cluster;The water quality condition sensing data that cluster head is used for the water quality condition sensing data by itself acquisition and receives turns
It is sent to the base station equipment.
7. water quality monitoring system according to claim 6, characterized in that the base station equipment divides sensor node
Cluster, specifically:
(1) determine N number of sensor node as interim cluster head from sensor node;
(2) N number of interim cluster head is screened, specifically: the interim cluster head a of any two is calculated using following formula, the association between b
Angle value, if association angle value be greater than setting degree of association threshold value, by the lesser interim cluster head of one of energy revert to cluster at
Member's node;
In formula, association angle value of the REL (a, b) between interim cluster head a and interim cluster head b,Respectively interim cluster head a, b
Primary power value, Ea、EbThe current remaining value of respectively interim cluster head a, b, SNRa、SNRbRespectively interim cluster head a, b
Current signal, d (a, BS) be the distance between interim cluster head a and the base station equipment BS, d (b, BS) be interim cluster head b
The distance between described base station equipment BS, d (a, b) are the distance between interim cluster head a and interim cluster head b;
(3) it will be still the sensor node cluster head final as the wireless sensor network of interim cluster head, become cluster head
Sensor node carries out cluster broadcast, does not belong to and communicates with apart from nearest cluster head as the sensor node of cluster head, at
For the bunch member node of corresponding cluster head.
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109488377A (en) * | 2018-10-16 | 2019-03-19 | 深圳众宝城贸易有限公司 | A kind of coal mine down-hole fire monitoring |
CN109813857A (en) * | 2019-03-08 | 2019-05-28 | 新昌县以琳环保科技有限公司 | Based on Internet of Things water quality monitoring system monitoring method |
CN110022540A (en) * | 2019-05-05 | 2019-07-16 | 众诚恒祥(北京)科技有限公司 | A kind of water quality safety monitoring system |
CN111103414A (en) * | 2019-12-18 | 2020-05-05 | 上一环境科技(金华)有限公司 | Intelligent river channel supervision system |
CN111653073A (en) * | 2020-04-23 | 2020-09-11 | 安徽省(水利部淮河水利委员会)水利科学研究院(安徽省水利工程质量检测中心站) | Lake growth system data information acquisition system based on Internet of things |
CN111800751A (en) * | 2020-05-13 | 2020-10-20 | 江苏华东新能源勘探有限公司(江苏省有色金属华东地质勘查局八一三队) | Groundwater quality of water monitored control system |
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CN112684133A (en) * | 2020-12-18 | 2021-04-20 | 南京大博环境监测科技有限公司 | Water quality monitoring and early warning method and system based on big data platform and storage medium |
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CN116359456B (en) * | 2023-01-15 | 2024-05-31 | 寿县国祯水处理有限公司 | Water quality dynamic monitoring and early warning method and system based on integration of station network |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103002537A (en) * | 2012-12-14 | 2013-03-27 | 南京邮电大学 | Wireless multimedia sensor network node clustering method based on related coefficients |
CN107172722A (en) * | 2017-06-28 | 2017-09-15 | 梧州市兴能农业科技有限公司 | A kind of sewage intelligent monitor system |
CN107449884A (en) * | 2017-08-06 | 2017-12-08 | 潘荣兰 | A kind of sewage monitoring system based on wireless sensor network |
CN107462289A (en) * | 2017-09-30 | 2017-12-12 | 韦彩霞 | A kind of water quality safety monitoring system |
CN107525904A (en) * | 2017-08-18 | 2017-12-29 | 潘荣兰 | Wireless water quality monitoring system |
CN108064065A (en) * | 2017-12-25 | 2018-05-22 | 陈剑桃 | A kind of long-distance water quality monitoring system based on wireless sensor network |
CN108233538A (en) * | 2018-01-10 | 2018-06-29 | 深圳森阳环保材料科技有限公司 | Transmission line wire real-time monitoring system for state |
CN109001394A (en) * | 2018-07-03 | 2018-12-14 | 深圳智达机械技术有限公司 | Farmland irrigating water's water quality monitoring system based on technology of Internet of things |
CN109142660A (en) * | 2018-08-06 | 2019-01-04 | 梧州市兴能农业科技有限公司 | Field irrigation water quality wisdom monitors system |
-
2018
- 2018-10-16 CN CN201811204780.6A patent/CN109212153A/en not_active Withdrawn
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103002537A (en) * | 2012-12-14 | 2013-03-27 | 南京邮电大学 | Wireless multimedia sensor network node clustering method based on related coefficients |
CN107172722A (en) * | 2017-06-28 | 2017-09-15 | 梧州市兴能农业科技有限公司 | A kind of sewage intelligent monitor system |
CN107449884A (en) * | 2017-08-06 | 2017-12-08 | 潘荣兰 | A kind of sewage monitoring system based on wireless sensor network |
CN107525904A (en) * | 2017-08-18 | 2017-12-29 | 潘荣兰 | Wireless water quality monitoring system |
CN107462289A (en) * | 2017-09-30 | 2017-12-12 | 韦彩霞 | A kind of water quality safety monitoring system |
CN108064065A (en) * | 2017-12-25 | 2018-05-22 | 陈剑桃 | A kind of long-distance water quality monitoring system based on wireless sensor network |
CN108233538A (en) * | 2018-01-10 | 2018-06-29 | 深圳森阳环保材料科技有限公司 | Transmission line wire real-time monitoring system for state |
CN109001394A (en) * | 2018-07-03 | 2018-12-14 | 深圳智达机械技术有限公司 | Farmland irrigating water's water quality monitoring system based on technology of Internet of things |
CN109142660A (en) * | 2018-08-06 | 2019-01-04 | 梧州市兴能农业科技有限公司 | Field irrigation water quality wisdom monitors system |
Non-Patent Citations (3)
Title |
---|
孙卓: "基于WSN和ZigBee的水质监测***设计", 《电子设计工程》 * |
贾惠丽 等: "能量高效的无线传感器网络分簇路由协议", 《传感器与微***》 * |
陈根乐 等: "基于分簇的车载自组网可信路由协议研究", 《天津科技大学学报》 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109488377A (en) * | 2018-10-16 | 2019-03-19 | 深圳众宝城贸易有限公司 | A kind of coal mine down-hole fire monitoring |
CN109813857B (en) * | 2019-03-08 | 2021-07-13 | 江西电信信息产业有限公司 | Monitoring method based on Internet of things water quality monitoring system |
CN109813857A (en) * | 2019-03-08 | 2019-05-28 | 新昌县以琳环保科技有限公司 | Based on Internet of Things water quality monitoring system monitoring method |
CN110022540A (en) * | 2019-05-05 | 2019-07-16 | 众诚恒祥(北京)科技有限公司 | A kind of water quality safety monitoring system |
CN111103414A (en) * | 2019-12-18 | 2020-05-05 | 上一环境科技(金华)有限公司 | Intelligent river channel supervision system |
CN111653073A (en) * | 2020-04-23 | 2020-09-11 | 安徽省(水利部淮河水利委员会)水利科学研究院(安徽省水利工程质量检测中心站) | Lake growth system data information acquisition system based on Internet of things |
CN111800751A (en) * | 2020-05-13 | 2020-10-20 | 江苏华东新能源勘探有限公司(江苏省有色金属华东地质勘查局八一三队) | Groundwater quality of water monitored control system |
CN111800751B (en) * | 2020-05-13 | 2023-06-02 | 江苏华东新能源勘探有限公司(江苏省有色金属华东地质勘查局八一三队) | Groundwater quality of water monitored control system |
CN112051824A (en) * | 2020-09-22 | 2020-12-08 | 吴信强 | Operation and maintenance system based on industrial Internet of things |
CN112684133B (en) * | 2020-12-18 | 2023-02-10 | 南京大博环境监测科技有限公司 | Water quality monitoring and early warning method and system based on big data platform and storage medium |
CN112684133A (en) * | 2020-12-18 | 2021-04-20 | 南京大博环境监测科技有限公司 | Water quality monitoring and early warning method and system based on big data platform and storage medium |
CN116359456B (en) * | 2023-01-15 | 2024-05-31 | 寿县国祯水处理有限公司 | Water quality dynamic monitoring and early warning method and system based on integration of station network |
CN116939531A (en) * | 2023-09-13 | 2023-10-24 | 广州迪奕科环保科技有限公司 | Sewage treatment monitoring method and system |
CN116939531B (en) * | 2023-09-13 | 2024-01-19 | 广州迪奕科环保科技有限公司 | Sewage treatment monitoring method and system |
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