CN109239291A - Lake water quality intelligent monitor system - Google Patents
Lake water quality intelligent monitor system Download PDFInfo
- 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- Withdrawn
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
- G01N33/18—Water
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
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.
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)
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)
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 |
-
2018
- 2018-09-27 CN CN201811128873.5A patent/CN109239291A/en not_active Withdrawn
Patent Citations (9)
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)
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 |