CN107449884A - A kind of sewage monitoring system based on wireless sensor network - Google Patents

A kind of sewage monitoring system based on wireless sensor network Download PDF

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CN107449884A
CN107449884A CN201710664039.7A CN201710664039A CN107449884A CN 107449884 A CN107449884 A CN 107449884A CN 201710664039 A CN201710664039 A CN 201710664039A CN 107449884 A CN107449884 A CN 107449884A
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潘荣兰
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Hunan Qinsen Gao Ke new materials Co., Ltd.
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Abstract

The invention provides a kind of sewage monitoring system based on wireless sensor network, including live water quality monitoring module, remote communication module and live water quality parameter management platform;Described live water quality monitoring module is used to be based on wireless sensor network collection site water quality parameter, and live water quality parameter is sent into live water quality parameter management platform by remote communication module;Also include intelligent terminal, described intelligent terminal communicates to connect with live water quality parameter management platform, and when live water quality parameter exceedes corresponding live water quality parameter threshold value, live water quality parameter management platform sends alarm signal to intelligent terminal.The present invention realizes the monitoring of sewage using wireless sensor network technology.

Description

A kind of sewage monitoring system based on wireless sensor network
Technical field
The present invention relates to sewage monitoring technical field, and in particular to a kind of sewage monitoring system based on wireless sensor network System.
Background technology
Water environment monitoring is the basis of environmental protection, and the purpose is to the foundation of science decision is provided for environmental protection.Water Domain environmental monitoring is one of important content of Environmental protection management department supervision, at present China to great river, great river, coastal basin, Daily routine monitor is implemented in harbour, bay, to contamination accidents such as red tide, oil spilling, the leakages of substantial pollution thing, need to carry out once daily Monitoring.When great river, great river and large-size lake etc. happen suddenly water environment pollution accident, existing conventional meanses can not be realized rapid, accurate Really, dynamically monitoring and forecast, thus environmentally friendly relevant departments be difficult to it is quick, rightly make decisions.
The content of the invention
In view of the above-mentioned problems, the present invention provides a kind of sewage monitoring system based on wireless sensor network.
The purpose of the present invention is realized using following technical scheme:
Provide a kind of sewage monitoring system based on wireless sensor network, including it is live water quality monitoring module, long-range Communication module and live water quality parameter management platform;Described live water quality monitoring module is used to adopt based on wireless sensor network Collect live water quality parameter, and live water quality parameter is sent to live water quality parameter management platform by remote communication module.
Beneficial effects of the present invention are:Live water quality monitoring is realized using wireless sensor network technology so that environmental protection Relevant departments can find water environment pollution accident in time, and the occurrence and development to accident are monitored assessment, and it is urgent right to formulate Plan and measure.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not form any limit to the present invention System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings Other accompanying drawings.
The structured flowchart of Fig. 1 present invention;
Fig. 2 is the connection block diagram of the live water quality parameter management platform of the present invention.
Reference:
Live water quality monitoring module 1, remote communication module 2, live water quality parameter management platform 3, intelligent terminal 4, water quality Parameter receiving module 10, water quality parameter memory module 20, water quality parameter processing module 30, threshold data storehouse 40, abnormal data show Show module 50.
Embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of sewage monitoring system based on wireless sensor network of the present embodiment offer, including it is existing Field water quality monitoring module 1, remote communication module 2 and live water quality parameter management platform 3;Described live water quality monitoring module 1 For being transmitted based on wireless sensor network collection site water quality parameter, and by live water quality parameter by remote communication module 2 To live water quality parameter management platform 3.
As a preferred embodiment, described live water quality parameter management platform 3 include water quality parameter receiving module 10, Water quality parameter memory module 20, water quality parameter processing module 30, threshold data storehouse 40, abnormal data display module 50;Water quality is joined Number receiving module 10 is connected with remote communication module 2, water quality parameter receiving module 10, water quality parameter memory module 20, water quality ginseng Number processing module 30, threshold data storehouse 40 are sequentially connected, and abnormal data display module 50 is connected with water quality parameter processing module 30.
As a preferred embodiment, sewage intelligent monitoring management system also includes intelligent terminal 4, described intelligent terminal 4 communicate to connect with live water quality parameter management platform 3, and threshold data stock contains live water quality parameter threshold value, described water quality Parameter processing module by the live water quality parameter received compared with the live water quality parameter threshold value of the correspondence in threshold data storehouse, When live water quality parameter exceedes corresponding live water quality parameter threshold value alarm signal is sent to intelligent terminal 4.
As a preferred embodiment, described live water quality parameter includes water temperature, pH value, turbidity, electrical conductivity, dissolved oxygen Content.
The above embodiment of the present invention realizes live water quality monitoring using wireless sensor network technology so that environmental protection is related Department can find water environment pollution accident in time, and the occurrence and development to accident are monitored assessment, formulate urgent countermeasure and Measure.
In one embodiment, the live water quality monitoring module 1 includes live water quality monitoring node, leader cluster node, base Stand;Described live water quality monitoring node is used to gather the live water quality parameter in setting monitored area, and live water quality is joined Number is sent to the leader cluster node of place cluster;Leader cluster node is used to receive the live water quality that the live water quality monitoring node in cluster is sent Parameter, and abnormal live water quality parameter is carried out to live water quality parameter and is detected, after the water quality parameter of rejecting abnormalities scene, to remaining Live water quality parameter carries out fusion treatment and sent to base station, and then is uploaded to the live water quality parameter after processing now by base station Field water quality parameter management platform 3.
As one of embodiment, described live water quality monitoring node sends live water quality parameter to place cluster During leader cluster node, fusion treatment first is carried out to live water quality parameter, specifically included:
(1) data threshold scope is set previously according to the live water quality parameter type of live water quality monitoring node collection;
(2) live water quality monitoring node utilizes sliding window collection site water quality parameter, to being gathered in same sliding window Live water quality parameter carry out threshold test, if in the presence of live water quality parameter not in the range of the data threshold pre-set, Labeled as Special field water quality parameter, other are considered as generic field water quality parameter;
(3) the generic field water quality parameter gathered in same sliding window is handled according to the following formula, at acquisition Generic field water quality parameter L ' after reason:
In formula, LhH-th of the generic field water quality parameter gathered in same sliding window is represented, Q is in same slip The quantity of the generic field water quality parameter of collection in window;
(4) live water quality monitoring node is only by the generic field water quality parameter exported after processing and Special field water quality parameter Send to the leader cluster node of place cluster.
The present embodiment only sends the generic field water quality parameter exported after processing and Special field water quality parameter to place The leader cluster node of cluster, the transmission energy consumption of live water quality parameter is on the one hand saved, on the other hand relative to only sending generic field The mode of water quality parameter, it can more ensure the precision of live water quality parameter collection.
As one of embodiment, when leader cluster node carries out abnormal live water quality parameter detection to live water quality parameter, It is specific to perform:
(1) leader cluster node collects n live water quality parameters as training sample set;
(2) training sample set is set as L={ L1,L2,…,Ln, ifRepresent live water quality parameter LiData peel off journey Degree, is determined according to the following formula
In formula, LjConcentrated for training sample and remove live water quality parameter LiJ-th outer of live water quality parameter, P (Li,Lj) table Show Li,LjBetween Euclidean distance,Represent that training sample is concentrated and remove live water quality parameter LiOuter any two scene Euclidean distance between water quality parameter, max [] represent to take max function;
(3) by training sample concentrate the data of all live water quality parameters peel off degree carry out descending arrangement, for each Live water quality parameter, its accounting in descending arrangement is calculated according to the following formula
In formula,Represent to be less than or equal in descending arrangementQuantity;
(4) it is right according to the following formulaConversion process is carried out, the data after being changed peel off degreeWillIn Minimum valueCorrespondingJudge the factor as peeling off, and will peel off and judge that the data corresponding to the factor peel off Degree is more than the live water quality parameter of the judgment threshold that peels off as peeling off judgment threshold, by the training sample concentration data degree that peels off It is determined as abnormal live water quality parameter:
Wherein
(5) leader cluster node collects a newest live water quality parameter Le,e>N, if LeData peel off degree be more than from Group's judgment threshold, then judge LeFor abnormal live water quality parameter, by LeWith the live water quality parameter structure in training sample set before Cheng Xin training sample set, return (2);
(6) if LeData peel off degree no more than peeling off judgment threshold, then judge LeFor normal data, return (5).
The present embodiment make use of the correlation between live water quality parameter to carry out abnormal live water quality parameter detection, relative to Abnormal live water quality parameter detection is carried out using live water quality monitoring node, is advantageous to save the water quality parameter of sewage monitoring system Collect energy consumption;
Wherein, the present embodiment defines data using Euclidean distance and peeled off the calculation formula of degree, is calculated according to the formula The data for going out each live water quality parameter peel off degree, and then obtain data and peel off degree ratio, finally give for detecting scene Water quality parameter whether be abnormal live water quality parameter the judgment threshold that peels off, the whole process training time is shorter, and only under Individual live water quality parameter is just carried out peeling off the renewal of judgment threshold when being abnormal live water quality parameter, reduces the judgment threshold that peels off Renewal calculation times, can effectively be sent out in the case where ensureing relatively low computation complexity from a large amount of live water quality parameters The live water quality parameter of exception therein is now hidden in, detects precise and high efficiency.
As one of embodiment, before collection site water quality parameter, pitch point importance grade S is set1、S2、S3, Wherein S1<S2<S3, in advance to the live water quality monitoring node distribution pitch point importance grade in cluster, within the cycle of setting, cluster The live water quality parameter amount of exception that each live water quality monitoring node is sent in head node statistics cluster, when live water quality monitoring node is adopted When the live water quality parameter amount of exception of collection meets following conditions, the leader cluster node of place cluster is sent to live water quality monitoring node stops Sleep and instruct, the live water quality monitoring node enters dormancy according to dormancy instruction:
In formula,Represent live water quality monitoring node KlThe live water quality of exception sent within the setting cycle to leader cluster node Parameter amount,Represent live water quality monitoring node KlThe live water quality parameter total amount sent within the setting cycle to leader cluster node, G is the unnatural proportions value of setting, and g value setting range is [25%, 35%],Live water quality monitoring section is distributed in expression Point KlPitch point importance grade.
The present embodiment is according to the live water quality parameter amount ratio of exception of live water quality monitoring node and pitch point importance etc. Two factors of level, the dormancy condition of live water quality monitoring node is devised, at the scene the live water quality of the exception of water quality monitoring node Ginseng quantitative proportion carries out dormancy when exceeding certain proportion threshold value, can reduce abnormal live water quality parameter amount and produce probability greatly The live water quality parameter traffic volume of live water quality monitoring node, the live water quality parameter for further saving leader cluster node collect energy Consumption, be advantageous to improve the live water quality parameter quality collected, improve the reliability of sewage monitoring.
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 scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention Matter and scope.

Claims (6)

1. a kind of sewage monitoring system based on wireless sensor network, it is characterized in that, including it is live water quality monitoring module, long-range Communication module and live water quality parameter management platform;Described live water quality monitoring module is used to adopt based on wireless sensor network Collect live water quality parameter, and live water quality parameter is sent to live water quality parameter management platform by remote communication module.
2. a kind of sewage monitoring system based on wireless sensor network according to claim 1, it is characterized in that, it is described Live water quality parameter management platform includes water quality parameter receiving module, water quality parameter memory module, water quality parameter processing module, threshold Value Data storehouse and abnormal data display module;Water quality parameter receiving module is connected with remote communication module, and water quality parameter receives mould Block, water quality parameter memory module, water quality parameter processing module, threshold data storehouse are sequentially connected, abnormal data display module and water Matter parameter processing module connects.
3. a kind of sewage monitoring system based on wireless sensor network according to claim 2, it is characterized in that, in addition to Intelligent terminal, described intelligent terminal communicate to connect with live water quality parameter management platform, and threshold data stock contains live water Matter parameter threshold, described water quality parameter processing module are corresponding with threshold data storehouse live by the live water quality parameter received Water quality parameter threshold value is compared, and is sent and is reported to intelligent terminal when live water quality parameter exceedes corresponding live water quality parameter threshold value Alert signal.
4. a kind of sewage monitoring system based on wireless sensor network according to claim 1, it is characterized in that, it is described existing Water quality monitoring module in field includes live water quality monitoring node, leader cluster node, base station;Described live water quality monitoring node is used to adopt Live water quality parameter in collection setting monitored area, and live water quality parameter is sent to the leader cluster node of place cluster;Cluster head section Point is used to receive the live water quality parameter that the live water quality monitoring node in cluster is sent, and live water quality parameter is carried out abnormal existing Field water quality parameter detects, and after the water quality parameter of rejecting abnormalities scene, carries out fusion treatment to remaining live water quality parameter and sends The live water quality parameter after processing is uploaded to live water quality parameter management platform to base station, and then by base station.
5. a kind of sewage monitoring system based on wireless sensor network according to claim 4, it is characterized in that, cluster head section It is specific to perform when point carries out abnormal live water quality parameter detection to live water quality parameter:
(1) leader cluster node collects n live water quality parameters as training sample set;
(2) training sample set is set as L={ L1,L2,…,Ln, ifRepresent live water quality parameter LiData peel off degree, press Determined according to following equation
<mrow> <msub> <mi>Z</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mfrac> <mn>1</mn> <mrow> <mi>n</mi> <mo>-</mo> <mn>3</mn> </mrow> </mfrac> <mo>&amp;times;</mo> <mfrac> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mi>P</mi> <mrow> <mo>(</mo> <msub> <mi>L</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>L</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <munder> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>...</mo> <mi>n</mi> <mo>-</mo> <mn>1</mn> <mo>,</mo> </mrow> </munder> <mi>P</mi> <mrow> <mo>(</mo> <msub> <mi>L</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>L</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <munder> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>...</mo> <mi>n</mi> <mo>-</mo> <mn>1</mn> <mo>,</mo> </mrow> </munder> <mi>P</mi> <mrow> <mo>(</mo> <msub> <mi>L</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>L</mi> <mi>j</mi> </msub> <mo>)</mo> </mrow> </mrow> <mrow> <mi>max</mi> <mo>&amp;lsqb;</mo> <mi>P</mi> <mrow> <mo>(</mo> <msubsup> <mi>L</mi> <mi>j</mi> <mn>1</mn> </msubsup> <mo>,</mo> <msubsup> <mi>L</mi> <mi>j</mi> <mn>2</mn> </msubsup> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> </mfrac> </mrow>
In formula, LjConcentrated for training sample and remove live water quality parameter LiJ-th outer of live water quality parameter, P (Li,Lj) represent Li, LjBetween Euclidean distance,Represent that training sample is concentrated and remove live water quality parameter LiOuter any two scene water quality Euclidean distance between parameter, max [] represent to take max function;
(3) by training sample concentrate the data of all live water quality parameters peel off degree carry out descending arrangement, for each scene Water quality parameter, its accounting in descending arrangement is calculated according to the following formula
<mrow> <msub> <mi>R</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> <mo>=</mo> <mfrac> <msub> <mi>M</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> <mi>n</mi> </mfrac> </mrow>
In formula,Represent to be less than or equal in descending arrangementQuantity;
(4) it is right according to the following formulaConversion process is carried out, the data after being changed peel off degreeWillIn minimum ValueCorrespondingJudge the factor as peeling off, and the data that judge corresponding to the factor of the peeling off degree that peels off is made For the judgment threshold that peels off, the training sample concentration data degree that peels off is more than the live water quality parameter of the judgment threshold that peels off and is determined as Abnormal live water quality parameter:
<mrow> <msup> <msub> <mi>Z</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <msub> <mi>Z</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> <mi>cos</mi> <mi> </mi> <mi>x</mi> <mo>-</mo> <msub> <mi>&amp;gamma;</mi> <msub> <mi>Z</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> </msub> <mi>sin</mi> <mi> </mi> <mi>x</mi> </mrow>
Wherein
<mrow> <mi>x</mi> <mo>=</mo> <mi>arctan</mi> <mrow> <mo>(</mo> <mfrac> <mi>n</mi> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> <mo>&amp;CenterDot;</mo> <mfrac> <mn>1</mn> <mrow> <munder> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>n</mi> </mrow> </munder> <msub> <mi>Z</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> <mo>-</mo> <munder> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>n</mi> </mrow> </munder> <msub> <mi>Z</mi> <msub> <mi>L</mi> <mi>i</mi> </msub> </msub> </mrow> </mfrac> <mo>)</mo> </mrow> </mrow>
(5) leader cluster node collects a newest live water quality parameter Le,e>N, if LeThe data degree that peels off be more than and peel off and sentence Disconnected threshold value, then judge LeFor abnormal live water quality parameter, by LeFormed with the live water quality parameter in training sample set before new Training sample set, return (2);
(6) if LeData peel off degree no more than peeling off judgment threshold, then judge LeFor normal data, return (5).
6. a kind of sewage monitoring system based on wireless sensor network according to claim 5, it is characterized in that, gathering Before live water quality parameter, pitch point importance grade S is set1、S2、S3, wherein S1<S2<S3, the live water quality in cluster is supervised in advance Node distribution pitch point importance grade is surveyed, within the cycle of setting, each live water quality monitoring node hair in leader cluster node statistics cluster The live water quality parameter amount of exception sent, when the live water quality parameter amount of exception of live water quality monitoring node collection meets following conditions When, the leader cluster node of place cluster sends dormancy instruction to live water quality monitoring node, and the live water quality monitoring node is according to stopping Instruction of sleeping enters dormancy:
<mrow> <mo>(</mo> <mn>1</mn> <mo>-</mo> <mfrac> <msub> <mi>e</mi> <msub> <mi>K</mi> <mi>&amp;iota;</mi> </msub> </msub> <msub> <mi>E</mi> <msub> <mi>K</mi> <mi>&amp;iota;</mi> </msub> </msub> </mfrac> <mo>)</mo> <mo>&amp;times;</mo> <mn>100</mn> <mi>%</mi> <mo>-</mo> <mi>g</mi> <mo>(</mo> <mn>1</mn> <mo>+</mo> <msqrt> <mfrac> <msub> <mi>&amp;rho;</mi> <msub> <mi>K</mi> <mi>&amp;iota;</mi> </msub> </msub> <mrow> <msub> <mi>S</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>S</mi> <mn>2</mn> </msub> <mo>+</mo> <msub> <mi>S</mi> <mn>3</mn> </msub> </mrow> </mfrac> </msqrt> <mo>)</mo> <mo>&lt;</mo> <mn>0</mn> </mrow>
In formula,Represent live water quality monitoring node KιThe live water quality parameter of exception sent within the setting cycle to leader cluster node Amount,Represent live water quality monitoring node KιThe live water quality parameter total amount sent within the setting cycle to leader cluster node, g are to set Fixed unnatural proportions value,Live water quality monitoring node K is distributed in expressionιPitch point importance grade.
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