CN108802332A - Soil pollution intelligent monitor system - Google Patents
Soil pollution intelligent monitor system Download PDFInfo
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- CN108802332A CN108802332A CN201810551834.XA CN201810551834A CN108802332A CN 108802332 A CN108802332 A CN 108802332A CN 201810551834 A CN201810551834 A CN 201810551834A CN 108802332 A CN108802332 A CN 108802332A
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- 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
- G01N33/24—Earth materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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- 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
- G01N33/24—Earth materials
- G01N33/246—Earth materials for water content
Abstract
The present invention provides soil pollution intelligent monitor systems, including multiple data acquisition subsystems and soil pollution analysis subsystem, soil pollution analysis subsystem includes primary processor and multiple points of processors being connect with primary processor, each data acquisition subsystem is connect with one point of processor, and each data acquisition subsystem is used to acquire the soil quality data of multiple setting monitoring nodes in a soil pollutant monitoring region；Point processor is used to carry out missing detection to the soil quality data of acquisition, and fills up upper estimate on the position of native soil qualitative data missing, is additionally operable to that soil quality data are sent to primary processor by treated；Primary processor carries out analyzing processing according to preset Soil Environmental Pollution analysis model to soil quality data, exports the pollution situation of soil environment.
Description
Technical field
The present invention relates to soil pollution monitoring technical fields, and in particular to soil pollution intelligent monitor system.
Background technology
Due to population sharp increase, industry is grown rapidly, and solid waste is constantly stacked and toppled over to soil surface, is harmful to useless
Water is constantly permeated into soil, and the pernicious gas and floating dust in air also constantly land in the soil with rainwater, result in soil
Pollution, these soil pollutants hamper soil normal function, reduce crop yield and quality, also pass through grain, vegetables, water
Fruit etc. influences health indirectly, has greatly harm.If soil pollution cannot be administered in time, it will to mankind society
The massive losses for being difficult to reverse can be caused, but since the soil contamination grade in each place differs, pollution condition is different, country
Can not monitoring management at any time, cause soil pollution increasingly severe.
Invention content
In view of the above-mentioned problems, the present invention provides soil pollution intelligent monitor system.
The purpose of the present invention is realized using following technical scheme：
Provide soil pollution intelligent monitor system, including multiple data acquisition subsystems and soil pollution analysis subsystem
System, soil pollution analysis subsystem include primary processor and multiple points of processors being connect with primary processor, each data acquisition
Subsystem is connect with one point of processor, and each data acquisition subsystem is used to acquire more in a soil pollutant monitoring region
The soil quality data of a setting monitoring node；Divide processor for carrying out missing detection to the soil quality data of acquisition, and
Upper estimate is filled up on the position of native soil qualitative data missing, is additionally operable to that soil quality data are sent to master by treated
Processor；Primary processor carries out analyzing processing, output according to preset Soil Environmental Pollution analysis model to soil quality data
The pollution situation of soil environment.
Preferably, data acquisition subsystem includes multiple sensor nodes for being monitored to soil quality, sensing
Be equipped with sensor in device node, sensor include heavy metal-polluted soil sensor, soil moisture sensor, soil temperature sensor,
P in soil H sensors, soil salinity sensor, underground water heavy metal sensor, one kind in underground water temperature sensor or more
Kind.
Preferably, setting contamination analysis data cell and pollution distributional analysis chart construction unit in primary processor；Pollution
Data cell is analyzed to be used to carry out analyzing processing to soil quality data according to preset Soil Environmental Pollution analysis model；Pollution
Distributional analysis chart construction unit is used to generate soil pollution region point according to the analysis and processing result of contamination analysis data cell
Butut.
Beneficial effects of the present invention are：The sensor of various detection soil is set, can in real time be recorded the case where soil,
And analyzing processing is carried out by sending soil pollution analysis subsystem to, convenient for understanding the pollution condition of different regions, contribute to
Country solves the soil contamination problem of various regions.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present 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 soil environment monitoring system of an illustrative embodiment of the invention；
Fig. 2 is the structural schematic block diagram of the soil pollution analysis subsystem of an illustrative embodiment of the invention.
Reference numeral：
Data acquisition subsystem 1, primary processor 10, divides processor 20 at soil pollution analysis subsystem 2.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, soil pollution intelligent monitor system provided in this embodiment, including multiple data acquisition subsystems
1 and soil pollution analysis subsystem 2, soil pollution analysis subsystem 2 includes primary processor 10 and is connect with primary processor 10
Multiple points of processors 20, each data acquisition subsystem 1 are connect with one point of processor 20, and each data acquisition subsystem 1 is used for
The soil quality data of multiple setting monitoring nodes in one soil pollutant monitoring region of acquisition；Point processor 20 for pair
The soil quality data of acquisition carry out missing detection, and fill up upper estimate on the position of native soil qualitative data missing, also
For by treated, soil quality data to be sent to primary processor 10；Primary processor 10 is according to preset Soil Environmental Pollution point
It analyses model and analyzing processing is carried out to soil quality data, export the pollution situation of soil environment.
Wherein, data acquisition subsystem 1 includes multiple sensor nodes for being monitored to soil quality, sensor
Sensor is equipped in node.Wherein, sensor includes heavy metal-polluted soil sensor, soil moisture sensor, soil moisture sensing
It is any one in device, P in soil H sensors, soil salinity sensor, underground water heavy metal sensor, underground water temperature sensor
Kind is a variety of.
Data acquisition subsystem 1 further includes base station, and base station is used to converge the soil quality data of each sensor node acquisition,
And by the soil quality data transmission of convergence to dividing processor 20, base station to be configured to jointly with each sensor node accordingly
Soil quality data acquire and the wireless sensor network of transmission.
In one embodiment, setting contamination analysis data cell and pollution distributional analysis chart structure in primary processor 10
Unit；Contamination analysis data cell is for analyzing soil quality data according to preset Soil Environmental Pollution analysis model
Processing；Distributional analysis chart construction unit is polluted to be used to generate soil dirt according to the analysis and processing result of contamination analysis data cell
Contaminate regional distribution chart.
The sensor of various detection soil is arranged in the above embodiment of the present invention, can in real time record the case where soil, and
Analyzing processing is carried out by sending soil pollution analysis subsystem 2 to, convenient for understanding the pollution condition of different regions, contributes to state
Family solves the soil contamination problem of various regions.
In one embodiment, divide processor 20 to carry out missing detection to the soil quality data of acquisition, specifically include：It presses
Missing detection is carried out successively to the soil quality data that sensor node acquires according to sampling instant, sensor node exists if detecting
M-th of sampling instant does not have soil quality data, then marks the soil quality shortage of data of the m-th sampling instant.
Sensor node is likely that there are a large amount of missing in actual monitoring in the soil quality data acquisition system of acquisition
Value if not handling missing values, or directly deletes containing the soil quality data sequence in missing, can all influence soil
The reliability and precision of loamy texture amount data processing.
In one embodiment, described to fill up upper estimate on the position of native soil qualitative data missing, it specifically includes：
(1) number that the soil quality data that each sensor node perceives within the M periods lack is counted；
(2) the soil quality data that sensor node i is perceived at the m moment are set to lack, m ∈ M, obtains and is located at sensing
The other sensors node that soil quality data in the communication range of device node i, the m moment perceives do not lack, carrys out structure
Build the discrete data node set Q of sensor node ii, utilize QiThe single order Voronoi diagram for building sensor node i, to
To multiple natural the neighbor node j, j=1 ..., n of sensor node i；
(3) the length X on the side in the single order Voronoi diagram of sensor node i corresponding to nature neighbor node j is calculatedj(i)
And sensor node i to the distance r of nature neighbor node jij, j=1 ..., n calculate estimated value z according to the following formulai
(m) ', for fill sensor node i in the soil quality shortage of data position at m moment：
In formula, HjThe number lacked for the natural neighbor node j soil quality data perceived within the M periods；Xh
(i) corresponding to the length on the side of nature neighbor node h, r in the single order Voronoi diagram for being sensor node iihFor sensor node
I is to the distance of nature neighbor node h, HhThe soil quality data hair perceived within the M periods for the nature neighbor node h
The number of raw missing, zj(m) the soil quality data perceived at the m moment for the nature neighbor node j, n are sensor section
The natural neighbor node number of point i.
Voronoi diagram is one of the extremely important research contents in computational geometry field, and Voronoi diagram is according to institute
The neighbouring attribute of the spatial object of concern is by the region division where them at many subregions.Per sub-regionsIndicate be
In given discrete data point set W, relatively other discrete data points, distanceThe collection that closer all spatial points are constituted
It closes.Division methods of the present embodiment based on Voronoi diagram obtain the natural neighbor node of sensor node, and by sensor node
Missing values regard the corresponding coefficient result of soil quality data of its natural neighbor node as.Pass through natural neighbor node
It obtains, the present embodiment can obtain the neighbour of the real meaning of sensor node.The present embodiment innovatively sets and senses
The calculation formula of the corresponding estimated value of missing values of device node, it is naturally adjacent with it which not only allows for sensor node
Occupy the distance between node factor, it is also contemplated that the frequency of missing data occurs in special time period for natural neighbor node, makes
The calculating for obtaining estimated value is more accurate objective, meets reality.
In one embodiment, processor 20 is divided to be additionally operable to periodically carry out abnormality detection each sensor node, to detection
It is marked for abnormal sensor node；
Divide processor 20 to carry out abnormality detection sensor node, specifically includes：
(1) time that the soil quality data that each sensor node perceives within the previous setting period lack is counted
Number, if the number S that the soil quality data that sensor node i is perceived within the previous setting period lackiMore than setting
Frequency threshold value S, then by sensor node i be labeled as suspect sensor node；
(2) the soil quality data of each neighbor node and its next-hop relay node that obtain suspect sensor node alpha lack
Forget record, the wherein neighbor node of suspect sensor node alpha is other sensings in suspect sensor node alpha communication range
The next-hop relay node of device node, suspect sensor node alpha is the soil quality data for assisting forwarding suspect sensor node alpha
Next-hop sensor node；
(3) if the soil quality shortage of data record of suspect sensor node alpha meets following exceptional condition, judge that this can
It is abnormality sensor node to doubt sensor node α：
In formula, SαIndicate that the soil quality data that suspect sensor node alpha perceives within the previous setting period occur to lack
The number of mistake, ηαFor within the previous setting period, suspect sensor node alpha is identical with its neighbor node deletion condition
Number, there are one while soil quality shortage of data occurs for the identical expression suspect sensor node alpha of the deletion condition
Soil quality shortage of data also occurs for a above neighbor node；Sα+1For suspect sensor node alpha next-hop relay node preceding
The number that the soil quality data perceived in one setting period lack, W are the fractional threshold of setting；Y(Sα+1- S) it is to set
Fixed comparison function, works as Sα+1-S>When 0, Y (Sα+1- S)=1；Work as Sα31When-S≤0, Y (Sα+1- S)=0, γ0For the influence of setting
The factor, γ0Value range be [0.1,0.2].
If a sensor node, when acquiring soil quality data, only the soil quality data of itself acquisition have more
Item missing, and the soil quality data that its neighbor node is acquired in synchronization do not have missing, and for forwarding the sensor section
The next-hop relay node of point soil quality data also fault-free when, then can be with according to the space-time relationship between sensor node
It reasons out the sensor node and is likely to failure occurred.Accordingly, the present embodiment innovatively set to sensor node into
The mechanism of row abnormality detection, the mechanism investigate sensor node using the soil quality shortage of data situation of sensor node
Fault state, wherein setting the condition whether abnormal specific for judging sensor node.By the condition, can facilitate
Abnormal determination quickly is carried out to sensor node, and there is certain precision.
In one embodiment, processor 20 is divided to be additionally operable to generate abnormality sensor node listing, and according to sensor
The judgement result that node carries out abnormality detection regularly updates abnormality sensor node listing, is additionally operable to newer abnormal biography
Sensor node list feeds back to base station.
In one embodiment, base station is according to newer abnormality sensor node listing, to the abnormality sensor in list
Node carries out fault detect, and when abnormality sensor node meets following fault condition, base station is by the sensor node from wireless
It is rejected in sensor network：
Or
In formula, UiIt is abnormal to indicate up to the present abnormality sensor node l is detected as by sensor node monitoring modular
Number, UTFor the frequency of abnormity threshold value of setting, GlFor the current remaining of abnormality sensor node l, GminFor the sensing of setting
Device node maintains the minimum energy value needed for the acquisition of soil quality data, Gl0For the primary power of abnormality sensor node l, mlTable
Show current time, m0For wireless sensor network initialization time.
The present embodiment sets fault condition, is repeatedly determined as that exception or dump energy are unsatisfactory for tieing up for filtering out
The sensor node of the energy requirement of soil quality data acquisition is held, method is simple and convenient.The failure that the present embodiment will filter out
Sensor node rejected from wireless sensor network, the soil quality data that the sensor node of failure can be avoided to acquire
Precision of the system in terms of data acquisition is influenced, and wireless sensor network is made to have certain robustness.
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 being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. soil pollution intelligent monitor system, characterized in that including multiple data acquisition subsystems and soil pollution analysis subsystem
System, soil pollution analysis subsystem include primary processor and multiple points of processors being connect with primary processor, each data acquisition
Subsystem is connect with one point of processor, and each data acquisition subsystem is used to acquire more in a soil pollutant monitoring region
The soil quality data of a setting monitoring node；Divide processor for carrying out missing detection to the soil quality data of acquisition, and
Upper estimate is filled up on the position of native soil qualitative data missing, is additionally operable to that soil quality data are sent to master by treated
Processor；Primary processor carries out analyzing processing, output according to preset Soil Environmental Pollution analysis model to soil quality data
The pollution situation of soil environment.
2. soil pollution intelligent monitor system according to claim 1, characterized in that data acquisition subsystem includes multiple
Sensor node for being monitored to soil quality, the sensor node being equipped in sensor node, in sensor node
Equipped with including heavy metal-polluted soil sensor, soil moisture sensor, soil temperature sensor, P in soil H sensors, soil salt
It is one or more in sensor, underground water heavy metal sensor, underground water temperature sensor.
3. soil pollution intelligent monitor system according to claim 1, characterized in that contamination analysis is arranged in primary processor
Data cell and pollution distributional analysis chart construction unit；Contamination analysis data cell is used for according to preset Soil Environmental Pollution
Analysis model carries out analyzing processing to soil quality data；Distributional analysis chart construction unit is polluted to be used for according to contamination analysis number
Soil pollution regional distribution chart is generated according to the analysis and processing result of unit.
4. soil pollution intelligent monitor system according to claim 1, characterized in that processor is divided to be additionally operable to periodically to each
Sensor node carries out abnormality detection, and the sensor node for being detected as abnormal is marked.
5. according to claim 1-4 any one of them soil pollution intelligent monitor systems, characterized in that divide processor to acquisition
Soil quality data carry out missing detection, specifically include：The soil quality number that sensor node is acquired according to sampling instant
According to missing detection is carried out successively, if detecting, sensor node does not have soil quality data, label should in m-th of sampling instant
The soil quality shortage of data of m-th sampling instant.
6. soil pollution intelligent monitor system according to claim 5, characterized in that described to be lacked in native soil qualitative data
Upper estimate is filled up on the position of mistake, is specifically included：
(1) number that the soil quality data that each sensor node perceives within the M periods lack is counted；
(2) the soil quality data that sensor node i is perceived at the m moment are set to lack, m ∈ M, obtains and is located at sensor section
The other sensors node that soil quality data in the communication range of point i, the m moment perceives do not lack passes to build
The discrete data node set Q of sensor node ii, utilize QiThe single order Voronoi diagram for building sensor node i, to be passed
Multiple natural neighbor node j, j=1 ..., the n of sensor node i；
(3) the length X on the side in the single order Voronoi diagram of sensor node i corresponding to nature neighbor node j is calculatedj(i) and
Distance rs of the sensor node i to nature neighbor node jij, j=1 ..., n calculate estimated value z according to the following formulai(m) ', with
For fill sensor node i in the soil quality shortage of data position at m moment：
In formula, HjThe number lacked for the natural neighbor node j soil quality data perceived within the M periods；Xh(i)
For in the single order Voronoi diagram of sensor node i correspond to nature neighbor node h side length, rihIt is arrived for sensor node i
The distance of natural neighbor node h, HhOccur for the soil quality data that the nature neighbor node h is perceived within the M periods
The number of missing, zj(m) the soil quality data perceived at the m moment for the nature neighbor node j, n are sensor node i
Natural neighbor node number.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110618616A (en) * | 2019-09-23 | 2019-12-27 | 上海大学 | Environmental safety monitoring system of transformer substation |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102594913A (en) * | 2012-03-15 | 2012-07-18 | 中国水稻研究所 | Environment parameter wireless transmission system |
| CN206114649U (en) * | 2016-09-22 | 2017-04-19 | 董金伟 | Soil pollution intelligent monitoring device |
| CN106680458A (en) * | 2016-11-17 | 2017-05-17 | 江苏智石科技有限公司 | Agricultural soil monitoring system |
| CN107038460A (en) * | 2017-04-10 | 2017-08-11 | 南京航空航天大学 | A kind of ship monitor shortage of data value complementing method based on improvement KNN |
-
2018
- 2018-05-31 CN CN201810551834.XA patent/CN108802332A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102594913A (en) * | 2012-03-15 | 2012-07-18 | 中国水稻研究所 | Environment parameter wireless transmission system |
| CN206114649U (en) * | 2016-09-22 | 2017-04-19 | 董金伟 | Soil pollution intelligent monitoring device |
| CN106680458A (en) * | 2016-11-17 | 2017-05-17 | 江苏智石科技有限公司 | Agricultural soil monitoring system |
| CN107038460A (en) * | 2017-04-10 | 2017-08-11 | 南京航空航天大学 | A kind of ship monitor shortage of data value complementing method based on improvement KNN |
Non-Patent Citations (1)
| Title |
|---|
| 吴秋云: "面向动态环境监测的无线传感器网络数据处理方法研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110618616A (en) * | 2019-09-23 | 2019-12-27 | 上海大学 | Environmental safety monitoring system of transformer substation |
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