CN109239291A - Lake water quality intelligent monitor system - Google Patents

Lake water quality intelligent monitor system Download PDF

Info

Publication number
CN109239291A
CN109239291A CN201811128873.5A CN201811128873A CN109239291A CN 109239291 A CN109239291 A CN 109239291A CN 201811128873 A CN201811128873 A CN 201811128873A CN 109239291 A CN109239291 A CN 109239291A
Authority
CN
China
Prior art keywords
node
water quality
lake water
data packet
quality parameter
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Withdrawn
Application number
CN201811128873.5A
Other languages
Chinese (zh)
Inventor
不公告发明人
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dongguan Qingliu New Materials Co Ltd
Original Assignee
Dongguan Qingliu New Materials Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Dongguan Qingliu New Materials Co Ltd filed Critical Dongguan Qingliu New Materials Co Ltd
Priority to CN201811128873.5A priority Critical patent/CN109239291A/en
Publication of CN109239291A publication Critical patent/CN109239291A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water

Abstract

The present invention provides lake water quality intelligent monitor system, including water quality monitoring module, communication network module, remote server, the water quality monitoring module real-time monitoring lake water quality parameter is transferred to remote server by communication network module.

Description

Lake water quality intelligent monitor system
Technical field
The present invention relates to water quality monitoring technical fields, and in particular to lake water quality intelligent monitor system.
Background technique
With the development of science and technology, the personal monitoring of early stage is eliminated substantially, traditional way is exactly to send someone to each Water sample is fetched in monitoring region, is then detected under lab.It is this monitoring method low efficiency, at high cost, and can not achieve pair The continuous detection of lake water, the region that furthermore staff can not reach, water quality will be difficult to monitor.With computer technology and wirelessly The development of sensor network technique provides possible ways and means to the wireless monitor in extensive area.Wireless sensing Device network is the network being made of in an ad-hoc fashion a large amount of wireless sensor nodes, it has sensor node density height, net Network change in topology frequently and node power, the features such as computing capability and data storage capacities are limited so that wireless sensor network Network has a wide range of applications in environmental monitoring military affairs, medical treatment & health, family intelligent monitoring and other commercial fields.
Summary of the invention
In view of the above-mentioned problems, the present invention provides lake water quality intelligent monitor system.
The purpose of the present invention is realized using following technical scheme:
Lake water quality intelligent monitor system, including water quality monitoring module, communication network module, remote server are provided, The water quality monitoring module real-time monitoring lake water quality parameter, is transferred to remote server by communication network module.
Wherein, the water quality monitoring module includes aggregation node and multiple sensor nodes, multiple sensor node acquisitions Lake water quality parameter, aggregation node converge the lake water quality parameter of multiple sensor nodes and are sent to the remote server.
Preferably, the sensor node includes microprocessor unit, communication unit and Power Management Unit.
Preferably, the lake water quality parameter includes water temperature, water salinity, water body pH-value, water body poisonous metal Concentration of element, content of chemical substances, water body planktonic organism quantity, lake level, water surface wind speed and direction, water surface temperature with it is wet Degree.
The invention has the benefit that realizing the lake water quality parameter acquisition in lake by wireless sensor network, make Remote server is monitored and is analyzed to whole distract data of monitoring point by simple and economic measurement means, realization, Pass through the change of water quality of network real-time monitoring water resources in lake, it can be ensured that the metropolitan water safety in periphery, and then realize good Good Social benefit and economic benefit.
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 schematic block diagram of the lake water quality intelligent monitor system of an illustrative embodiment of the invention;
Fig. 2 is the structural schematic block diagram of the sensor node of an illustrative embodiment of the invention.
Appended drawing reference:
Water quality monitoring module 1, communication network module 2, remote server 3, microprocessor unit 10, communication unit 20, electricity Source control unit 30.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the embodiment of the invention provides lake water quality intelligent monitor systems, including water quality monitoring module 1, communication Network module 2, remote server 3, the 1 real-time monitoring lake water quality parameter of water quality monitoring module, pass through communication network module 2 It is transferred to remote server 3.
Wherein, the water quality monitoring module 1 includes aggregation node and multiple sensor nodes, multiple sensor node acquisitions Lake water quality parameter, aggregation node converge the lake water quality parameter of multiple sensor nodes and are sent to the remote server 3.
Wherein, the lake water quality parameter includes water temperature, water salinity, water body pH-value, water body poisonous metal member Plain concentration, content of chemical substances, water body planktonic organism quantity, lake level, water surface wind speed and direction, water surface temperature and humidity.
In the mode that one kind can be implemented, as shown in Fig. 2, the sensor node includes microprocessor unit 10, leads to Believe unit 20 and Power Management Unit 30.
The above embodiment of the present invention realizes the lake water quality parameter acquisition in lake by wireless sensor network, makes long-range Server 3 is monitored and is analyzed to whole distract data of monitoring point, passed through by simple and economic measurement means, realization The change of water quality of network real-time monitoring water resources in lake, it can be ensured that the metropolitan water safety in periphery, and then realize good Social benefit and economic benefit.
In a kind of mode that can be realized, each sensor node passes through exchange acquisition of information neighbor node mark and position Information, wherein the other sensors node being defined in sensor node transmission range is its neighbor node;Sensor node is adopted After collecting lake water quality parameter, the lake water quality parameter of acquisition is transferred to aggregation node, comprising:
(1) sensor node is no more than preset apart from lower limit L at a distance from aggregation nodeminWhen, sensor node is direct The lake water quality parameter of acquisition is transferred to aggregation node;
(2) sensor node is more than preset apart from lower limit L at a distance from aggregation nodeminWhen, sensor node will acquire Lake water quality parameter aggregation node is transferred to by way of multi-hop, specifically:
1) sensor node of acquisition lake water quality parameter is set as source node, and source node determines that it arrives the biography of aggregation node Defeated total hop count k:
In formula, LI, oFor the distance of source node i to aggregation node, LA, oIt is saved for a-th of sensor node in network to convergence The distance of point, Z are the sensor node quantity in network,For bracket function, expression pairIt is rounded;
2) source node generates data packet, and data packet includes the mark of the source node, lake water quality parameter packet and hop count meter Number device, the initial value of the hop count device are the total hop count of transmission that source node determines, which includes source node Lake water quality parameter collected;
3) source node randomly chooses destination node of the neighbor node as the jump in its neighbor node, by data packet It is sent to the destination node of the jump;
4) after destination node receives data packet, the data packet is updated, comprising: by the value of the hop count device in data packet Subtract one, and the lake water quality parameter of itself acquisition is stored in the lake water quality parameter packet in data packet;
5) it using destination node as the source node of next-hop, repeats 3), 4), until in the data packet that destination node receives Hop count device value be 1;The destination node that the value of hop count device in the data packet received is 1, itself is acquired Lake water quality parameter deposit data packet in lake water quality parameter packet after, by lake water quality parameter packet be sent directly to convergence section Point.
The present embodiment proposes sensor node and the lake water quality parameter of acquisition is transferred to convergence by way of multi-hop The routing mechanism of node, the routing mechanism determine the transmission of transmission lake water quality parameter according to the distance of source node to aggregation node Total hop count, and determine based on the mode of random walk the destination node of next-hop.Lake water quality ginseng is carried out by the routing mechanism Several multi-hop transmissions, it is simple and convenient, and the length of transmission path can be limited, avoid the mode because of random walk from leading to path It is too long and bring meaningless energy consumption, save the data acquisition cost of lake water quality intelligent monitor system.
Wherein, if source node is no more than cooperation apart from lower limit L at a distance from the destination nodex-minWhen, source node directly will Data packet is sent to the destination node of the jump;If source node is more than cooperation at a distance from the destination node apart from lower limit Lx-minWhen, Source node more directly transmits the energy consumption of data packet mode and the energy consumption of cooperation transmission data packet mode, if directly transmitting data packet The energy consumption of mode is minimum, and source node directly sends data packets to the destination node of the jump, otherwise uses cooperation transmission data packet Mode sends data packets to the destination node of the jump.
In a kind of mode that can be realized, source node calculates each neighbour after obtaining neighbor node mark and location information The weight of node is occupied, and each neighboring node list is ranked up according to the descending sequence of weight, building neighbor node column Table;Source node sends data packets to the destination node of the jump using cooperation transmission data packet mode, specific to execute: source node to Preceding 3 neighbor nodes broadcast collaboration message of neighboring node list, preceding 3 neighbor nodes receive after cooperation message to source node Cooperation confirmation message is fed back, source node selects the neighbor node for feeding back cooperation confirmation message at first as cooperative node, by data Packet is sent to the cooperative node, and the destination node of the jump is sent data packets to by the cooperative node;Wherein the calculating of weight is public Formula are as follows:
In formula, dijFor the weight of j-th of neighbor node of source node i, QjFor the current residual of j-th of neighbor node Energy, QminTo preset minimum energy value, LI, jAt a distance from j-th of neighbor node of source node i and its, e1For preset energy power Repeated factor, e2For the preset distance weighting factor.
The present embodiment sets the weight computing formula of neighbor node, by the calculation formula it is found that dump energy is more, position The bigger neighbor node of advantage is set with bigger weight.Source node in advance saves each neighbours according to the sequence of weight from big to small Point is arranged, and avoids wasting time in the calculating of transmission lake water quality parametric step progress weight;In the present embodiment, source section To preceding 3 neighbor nodes broadcast collaboration message of neighboring node list, which receives after cooperation message to source point Node feeding back cooperation confirmation message, source node select the neighbor node for feeding back cooperation confirmation message at first as cooperative node, will Data packet is sent to the cooperative node, can the cooperative node selected of effective guarantee be reliably completed cooperation transmission lake water quality parameter Task, and relative to random selection cooperative node mode, be relatively beneficial to save cooperation transmission lake water quality parameter energy consumption.
In a kind of mode that can be realized, when source node sends data packets to the destination node of the jump, according to following Formula calculates cooperation apart from lower limit Lx-min:
In formula, V is monitoring region area, and Z is the sensor node quantity in network, and S is the transmission radius of source node;
The present embodiment sets the specific transmission mechanism that source node transmits data packet to destination node, wherein source node is arrived The distance of destination node is compared with cooperation apart from lower limit, and data are more directly transmitted when distance is higher than cooperation apart from lower limit The energy consumption of packet mode and the energy consumption of cooperation transmission data packet mode, and the minimum transmission mode of selection energy consumption carries out data packet always Transmission.The present embodiment can more ensure that data packet passes relative to by way of the progress data packet transmission of single transmission mode Defeated reliability, and relative to only cooperation transmission mode carry out data packet transmission by way of, due to selecting energy consumption always most Low transmission mode carries out the transmission of data packet, can further decrease the energy consumption of lake water quality parameter transmission;The present embodiment into The calculation formula to cooperate apart from lower limit is given to one step, relative to the mode of subjectively preset threshold, is cooperated apart from lower limit Determine more closing to reality situation.
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. lake water quality intelligent monitor system, characterized in that including water quality monitoring module, communication network module, remote server, The water quality monitoring module real-time monitoring lake water quality parameter, is transferred to remote server by communication network module.
2. lake water quality intelligent monitor system according to claim 1, characterized in that the water quality monitoring module includes converging Poly- node and multiple sensor nodes, multiple sensor nodes acquire lake water quality parameter, and aggregation node converges multiple sensors The lake water quality parameter of node is simultaneously sent to the remote server.
3. lake water quality intelligent monitor system according to claim 2, characterized in that the sensor node includes micro- place Manage device unit, communication unit and Power Management Unit.
4. lake water quality intelligent monitor system according to claim 1, characterized in that the lake water quality parameter includes water Temperature, water salinity, water body pH-value, water body harmful metal elements concentration, content of chemical substances, water body planktonic organism number Amount, lake level, water surface wind speed and direction, water surface temperature and humidity.
5. lake water quality intelligent monitor system according to claim 2, characterized in that each sensor node passes through exchange letter Breath obtains neighbor node mark and location information, wherein the other sensors node being defined in sensor node transmission range is Its neighbor node;After sensor node acquires lake water quality parameter, the lake water quality parameter of acquisition is transferred to aggregation node, is wrapped It includes:
(1) sensor node is no more than preset apart from lower limit L at a distance from aggregation nodeminWhen, sensor node will directly be adopted The lake water quality parameter of collection is transferred to aggregation node;
(2) sensor node is more than preset apart from lower limit L at a distance from aggregation nodeminWhen, sensor node is by the lake of acquisition Pool water quality parameter is transferred to aggregation node by way of multi-hop, specifically:
1) sensor node of acquisition lake water quality parameter is set as source node, and source node determines that it is total to the transmission of aggregation node Hop count k:
In formula, LI, oFor the distance of source node i to aggregation node, LA, oFor a-th of sensor node in network to aggregation node Distance, Z are the sensor node quantity in network,For bracket function, expression pairIt is rounded;
2) source node generates data packet, and data packet includes the mark of the source node, lake water quality parameter packet and hop count device, The initial value of the hop count device is the total hop count of transmission that source node determines, which includes that source node is acquired Lake water quality parameter;
3) source node randomly chooses destination node of the neighbor node as the jump in its neighbor node, sends the packet within To the destination node of the jump;
4) after destination node receives data packet, the data packet is updated, comprising: subtract the value of the hop count device in data packet One, and by itself acquisition lake water quality parameter deposit data packet in lake water quality parameter packet;
5) it using destination node as the source node of next-hop, repeats 3), 4), until the jump in the data packet that destination node receives The value of counter is 1;The destination node that the value of hop count device in the data packet received is 1, the lake that itself is acquired After mooring the lake water quality parameter packet in water quality parameter deposit data packet, lake water quality parameter packet is sent directly to aggregation node.
6. lake water quality intelligent monitor system according to claim 5, characterized in that if source node and the destination node Distance is no more than cooperation apart from lower limit Lx-minWhen, source node directly sends data packets to the destination node of the jump;If source node With at a distance from the destination node be more than cooperation apart from lower limit Lx-minWhen, source node more directly transmit data packet mode energy consumption and The energy consumption of cooperation transmission data packet mode, if the energy consumption for directly transmitting data packet mode is minimum, source node directly sends out data packet It send to the destination node of the jump, the destination node of the jump is otherwise sent data packets to using cooperation transmission data packet mode.
CN201811128873.5A 2018-09-27 2018-09-27 Lake water quality intelligent monitor system Withdrawn CN109239291A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811128873.5A CN109239291A (en) 2018-09-27 2018-09-27 Lake water quality intelligent monitor system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811128873.5A CN109239291A (en) 2018-09-27 2018-09-27 Lake water quality intelligent monitor system

Publications (1)

Publication Number Publication Date
CN109239291A true CN109239291A (en) 2019-01-18

Family

ID=65057141

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811128873.5A Withdrawn CN109239291A (en) 2018-09-27 2018-09-27 Lake water quality intelligent monitor system

Country Status (1)

Country Link
CN (1) CN109239291A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112557616A (en) * 2020-12-10 2021-03-26 中国科学院水生生物研究所 Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101459948A (en) * 2009-01-04 2009-06-17 北京航空航天大学 Cooperative routing method
CN102572717A (en) * 2012-02-20 2012-07-11 南京中通电气有限公司 Multipath routing reliable transmission method based on network coding
CN103561445A (en) * 2013-11-12 2014-02-05 北京工业大学 Wireless sensor network multi-path routing method based on network coding
CN106559731A (en) * 2015-09-24 2017-04-05 上海电气集团股份有限公司 A kind of sewage monitoring wireless sensor network
CN107393267A (en) * 2017-07-18 2017-11-24 陈剑桃 A kind of sewage intelligent monitoring management system
CN107525904A (en) * 2017-08-18 2017-12-29 潘荣兰 Wireless water quality monitoring system
CN107831285A (en) * 2017-01-19 2018-03-23 江苏省金威测绘服务中心 A kind of dystrophication monitoring system and its method based on Internet of Things
CN108322899A (en) * 2018-01-11 2018-07-24 深圳市晟达机械设计有限公司 Power transformer vibration monitor system based on wireless sensor network
CN109151039A (en) * 2018-09-05 2019-01-04 广州市花林景观工程有限公司 Lake water quality is health management system arranged

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101459948A (en) * 2009-01-04 2009-06-17 北京航空航天大学 Cooperative routing method
CN102572717A (en) * 2012-02-20 2012-07-11 南京中通电气有限公司 Multipath routing reliable transmission method based on network coding
CN103561445A (en) * 2013-11-12 2014-02-05 北京工业大学 Wireless sensor network multi-path routing method based on network coding
CN106559731A (en) * 2015-09-24 2017-04-05 上海电气集团股份有限公司 A kind of sewage monitoring wireless sensor network
CN107831285A (en) * 2017-01-19 2018-03-23 江苏省金威测绘服务中心 A kind of dystrophication monitoring system and its method based on Internet of Things
CN107393267A (en) * 2017-07-18 2017-11-24 陈剑桃 A kind of sewage intelligent monitoring management system
CN107525904A (en) * 2017-08-18 2017-12-29 潘荣兰 Wireless water quality monitoring system
CN108322899A (en) * 2018-01-11 2018-07-24 深圳市晟达机械设计有限公司 Power transformer vibration monitor system based on wireless sensor network
CN109151039A (en) * 2018-09-05 2019-01-04 广州市花林景观工程有限公司 Lake water quality is health management system arranged

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112557616A (en) * 2020-12-10 2021-03-26 中国科学院水生生物研究所 Monitoring method for influencing water ecological health by commercial sand-collecting activities of lake through river

Similar Documents

Publication Publication Date Title
Bangash et al. A survey of routing protocols in wireless body sensor networks
Bhandari et al. CoAR: Congestion-aware routing protocol for low power and lossy networks for IoT applications
CN107065809B (en) A kind of smart home system based on wireless sensor network
Orozco-Lugo et al. Monitoring of water quality in a shrimp farm using a FANET
CN107525904A (en) Wireless water quality monitoring system
CN107172575A (en) A kind of transmission line of electricity monitoring system based on cloud computing
CN107328916A (en) A kind of effective soil environment monitoring system
CN107635133A (en) A kind of robot of data center inspection tour system based on augmented reality
Velusamy et al. Multi-objective function-based node-disjoint multipath routing for mobile ad hoc networks
CN106290772B (en) A kind of sewage monitoring system
CN106292611B (en) A kind of wisdom agricultural control system based on cloud computing
CN109239291A (en) Lake water quality intelligent monitor system
CN109596492A (en) A kind of indoor air quality monitoring system of real-time intelligent
CN109195132A (en) Air quality information intelligent acquisition and real-time broadcasting system
CN107862834A (en) A kind of mountain flood monitoring and warning system based on cloud framework
CN109151039A (en) Lake water quality is health management system arranged
CN102149221B (en) Distributed wireless sensing network system used for lake water quality monitoring
CN109219012A (en) The ribbon heater temperature intelligent monitoring system of oil field conveyance conduit
CN107659474B (en) A kind of intelligent home control system
CN109270219A (en) Indoor decoration pollution gas intelligent radio detection system
CN108053619A (en) Landslide intellectual monitoring early warning system
Gupta et al. WSN based IoT applications: A Review
Sanya et al. Design and development of smart water quality monitoring system using IoT
CN108900994A (en) The continuous intelligent monitor system of waters organic pollutant
CN109186667A (en) lake water index real-time monitoring system

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: 20190118