CN109212150A - A kind of sewage monitoring system - Google Patents
A kind of sewage monitoring system Download PDFInfo
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- CN109212150A CN109212150A CN201811059672.4A CN201811059672A CN109212150A CN 109212150 A CN109212150 A CN 109212150A CN 201811059672 A CN201811059672 A CN 201811059672A CN 109212150 A CN109212150 A CN 109212150A
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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
- G01N33/18—Water
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/00584—Control arrangements for automatic analysers
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- G01N35/00871—Communications between instruments or with remote terminals
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Abstract
The present invention provides a kind of sewage monitoring system, including sewage monitoring data acquisition conveyer system and monitoring center, the sewage monitoring data acquisition conveyer system is for acquiring sewage monitoring data and by sewage monitoring data transmission to monitoring center；The sewage monitoring data acquisition conveyer system includes data acquisition unit, data processing unit；The data acquisition unit is used to cooperate the acquisition for carrying out sewage monitoring data by the sensor node constructed by each sensor, and exports the sewage monitoring data of each sensor node acquisition；The sewage monitoring data that the data processing unit is used to acquire each sensor node pre-process, it include data filtering module to obtain data processing unit described in effective sewage monitoring data, data filtering module is used for the sewage monitoring data by intelligent gateway filter false.
Description
Technical field
The application be that October 10, Patent No. 2016108862157, invention and created name in 2016 are the applying date
A kind of divisional application of the patent of invention of " sewage monitoring system ".The present invention relates to sewage monitoring fields, and in particular to a kind of dirt
Water monitoring system.
Background technique
Water pollution degree is the important information of water resource utilization and environmental protection, and sewage distribution is wide, and many places are not
Convenient for manual measurement, many inconvenience are brought to sewage real-time monitoring in this way.Existing sewage monitoring equipment uses traditional means
The pollution level information of water resource is acquired, the degree of automation is not high, and operability, the real-time of monitoring data are poor, cannot be very
Meet the requirement of sewage composition information real-time and reliability well.
Summary of the invention
To solve the above problems, the present invention is intended to provide a kind of sewage monitoring system.
The purpose of the present invention is achieved through the following technical solutions:
A kind of sewage monitoring system, including sewage monitoring data acquisition conveyer system and monitoring center, the sewage monitoring
Data acquisition conveyer system is for acquiring sewage monitoring data and by sewage monitoring data transmission to monitoring center；In the monitoring
Pericardium includes primary server and data processing server, and the sewage monitoring data acquisition conveyer system is connect with primary server, institute
Primary server is stated to connect with data processing server interactive mode.
Beneficial effects of the present invention: the sewage information data that each monitoring point acquires in real time can be sent in long-range monitoring
Heart platform is for statistical analysis, realizes wireless penetration, automation and intelligence that sewage information data is acquired and handled in real time, mentions
The high operability of monitoring data, and meet the requirement of real-time and reliability.
Detailed description of the invention
Invention is described further using attached drawing, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention,
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to the following drawings
Its attached drawing.
Fig. 1 is structure of the invention connection schematic diagram；
Fig. 2 is the structural schematic diagram of sewage monitoring data acquisition conveyer system.
Appended drawing reference:
Sewage monitoring data acquire conveyer system 1, monitoring center 2, data acquisition unit 11, data processing unit 12, number
According to transmission unit 13, primary server 21, data processing server 22.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of sewage monitoring system of the present embodiment, including sewage monitoring data acquisition conveyer system and
Monitoring center, sewage monitoring data acquisition conveyer system is for acquiring sewage monitoring data and by sewage monitoring data transmission
To monitoring center；The monitoring center includes primary server and data processing server, the sewage monitoring data acquisition transmission
System is connect with primary server, and the primary server is connect with data processing server interactive mode.
Preferably, the sewage monitoring data include sewage PH value, turbidity, conductivity, temperature, flow, oxygen meltage.
The above embodiment of the present invention can send the sewage information data that each monitoring point acquires in real time in long-range monitoring
Heart platform is for statistical analysis, realizes wireless penetration, automation and intelligence that sewage information data is acquired and handled in real time, mentions
The high operability of monitoring data, and meet the requirement of real-time and reliability.
Preferably, the sewage monitoring data acquisition conveyer system 1 includes data acquisition unit 11, data processing unit 12
With data transmission unit 13；The data acquisition unit 11 by the sensor node constructed by each sensor for being cooperated
The acquisition of sewage monitoring data is carried out, and exports the sewage monitoring data of each sensor node acquisition；The data processing unit
The 12 sewage monitoring data for acquiring to each sensor node pre-process, to obtain effective sewage monitoring data；Institute
State data transmission unit 13 for using preset data transmission mechanism progress sewage monitoring data transmission.
Preferably, the data acquisition unit 11 includes sensor locator unit and data revise subelemen；The biography
For carrying out sensor node localization, the progress sensor node localization specifically includes sensor locator unit:
(1) by small part sensor node deployment on known position coordinates, as beaconing nodes, according to beaconing nodes
The local coordinate system for meeting domestic environment is established in position；
(2) coordinate for assuming unknown node is (x, y), and the beaconing nodes coordinate that can be in communication with is respectively (x1,
y1), (x2, y2) ..., (xn, yn), it is the center of circle that unknown node, which is located at each beaconing nodes, and communication radius is the intersection of the circle of radius
Domain takes the region any point as the pre- reconnaissance of unknown node coordinate, the difference letter of the pre- reconnaissance of unknown node coordinate to beaconing nodes
Number are as follows:
In formula, riFor the pre- reconnaissance of unknown node coordinate to (xi, yi) distance, i=1,2 ..., n utilize maximal possibility estimation
Method seeks the minimum value of the formula, as unknown node coordinate position；
The data correction subelement is for being modified monitoring data of the sensor under non-standard environmental, modifying factor
Sub- σ are as follows:
In formula, T0For the normal temperature that sensor uses, T is environment temperature when sensor uses.
This preferred embodiment realizes the accurate measurement of sensor positioning and data.
Preferably, the data processing unit 12 includes data filtering module and Supplementing Data module, the data filtering
Module is used for the sewage monitoring data by intelligent gateway filter false, and the Supplementing Data module is used to fill up the sewage of loss
Monitoring data；
The sewage monitoring data by intelligent gateway filter false, comprising:
(1) removal does not fall within the sewage monitoring data in the effective range of sensor reading；
(2) processing is filtered to remaining sewage monitoring data, specifically:
1) assume that the sensing frequency of all the sensors is consistent and sliding window size is A, utilize Jaccard similarity function
Calculate two sensor SI、SJSimilarity Sim (the x of reading behaviorI(t), xJ(t)), wherein xI(t) sensor S is indicatedIWhen
Between t when level readings, xJ(t) sensor S is indicatedJLevel readings in time t；
2) sensor S is definedI、SJInitial interim similarity are as follows:
The interim similarity at K+1 moment are as follows:
In formula, xI(A+t) sensor S is indicatedIInitial reading behavior, μ are adjustable variable of setting, the value model of μ
It encloses for [- 1,1]；
3) shared M sensor is set, sensor S is come fromIAn event query q, frequently inquired in the past by sensor
Data than those seldom by sensor SIThe data and sensor S of readingIWith more correlation, sensor S is calculatedISequence
Grade point QL(q, SI), calculation formula are as follows:
In formula, n (q, SI) it is in past sensor SIEvent query number for inquiry q to some themes, N (q, SI)
Indicate sensor SIFor the event query sum of inquiry q, B is smoothing factor；
4) whether the current reading for using ballot method to judge sensor SI sets discriminant function for false readings are as follows:
In formula, net (I) indicates sensor SINeighbours' set of sensors, VDecisionj(I) neighbours' sensor S is indicatedJ
To sensor SIMake and choosing in a vote, chosen two classes in a vote, one kind be it is positive, it is another kind of be it is passive, choose in a vote for
When positive, VDecisionj(I)=1 when, choosing in a vote as passiveness, VDecisionj(I)=0；PIWhen > 0, sensor S is indicatedI
Current reading be normal reading, PIWhen < 0, sensor S is indicatedIIt is current reading be false readings.
The sewage monitoring data for filling up loss, comprising:
(1) clustering processing of sewage monitoring data is carried out using K-means clustering method；
(2) to the missing values in same class carry out be data filling.
When the sewage monitoring data of this preferred embodiment filter false, it is contemplated that sensor and neighbor node and environment it
Between relevance, be that each sensor distributes a weight appropriate the importance that reflects sensor by sort algorithm, into
And the collected data of sensor are accepted or rejected with abnormal number caused by filter wrong data and environment in collection process
According to improving the precision of filtering；Using first cluster fill up missing values afterwards by the way of fill up the sewage monitoring data of loss, can be compared with
The local characteristics of good consideration data, improve the precision of data filling.
In one embodiment, the preset data transmission mechanism includes:
(1) collected data are transferred to affiliated cluster within the period respectively distributed by member in a manner of single-hop in cluster
Leader cluster node Ci, leader cluster node CiIntegration processing is carried out to the sewage monitoring data being collected into；
(2) leader cluster node CiOther leader cluster nodes are selected according to the following formula, to determine that it routes candidate cluster head node set CN:
In formula, diBIndicate leader cluster node CiTo the distance of base station, djBIndicate leader cluster node CjTo the distance of base station, dijIt indicates
Leader cluster node CiTo leader cluster node CjDistance, NSiIndicate leader cluster node CiDump energy rank, NSjIndicate leader cluster node Cj
Dump energy rank；
(3) if routing candidate cluster head node set CN is sky, leader cluster node CiDirectly sewage monitoring data are sent to
Base station, and jump to (6)；
(4) if only existing one than leader cluster node C in routing candidate cluster head node setiIt is closer or remaining apart from base station
Higher other leader cluster nodes C of energy rankj, then leader cluster node C is selectedjAs next-hop routing node, and by sewage monitoring number
According to being transmitted to leader cluster node Cj, make leader cluster node CjAs new leader cluster node Ci, and jump back to (2)；
(5) if there are multiple than leader cluster node C in routing candidate cluster head node setiApart from base station is closer or residual energy
Not higher other leader cluster nodes C of magnitudej, then selection is so that the forwarding the smallest leader cluster node C of sewage monitoring data communication expensej
Leader cluster node C is given as next-hop routing node, and by sewage monitoring data forwardingj, make leader cluster node CjAs new cluster head section
Point Ci, and jump back to (2)；
(6) base station receives leader cluster node CiThe sewage monitoring data of transmission.
This preferred embodiment carries out the transmission of sewage monitoring data using preset data transmission mechanism, makes cluster head section
The dump energy distribution of point is more balanced, efficiently solve apart from base station compared with it is close or apart from the farther away node energy in base station it is too early
The problem of ruing out of, to extend the life cycle of entire data transmission network.
In another embodiment, the preset data transmission mechanism includes:
Different transmission modes is used for different transmission size of data and transmission range, defines transfer function Tr:
In formula, S is transmission size of data, S0For data transfer size cut off value, S0=1MB, D are transmission range, D0To pass
Defeated distance cut off value, D0=10m；
If D < D0, then data communication is carried out using bluetooth,
If D >=D0And S≤S0, then data communication is carried out using zigbee network,
If D >=D0And S > S0, then communicated using WIFI.
This preferred embodiment is being realized to the low energy consumption of sewage monitoring data, the communication of high-speed.
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 (4)
1. a kind of sewage monitoring system, characterized in that acquire conveyer system and monitoring center, the dirt including sewage monitoring data
Water monitoring data acquisition conveyer system is for acquiring sewage monitoring data and by sewage monitoring data transmission to monitoring center；It is described
It includes data acquisition unit, data processing unit that sewage monitoring data, which acquire conveyer system,；The data acquisition unit is for leading to
The acquisition for being cooperated by the sensor node that each sensor constructs and carrying out sewage monitoring data is crossed, and exports each sensor node
The sewage monitoring data of acquisition；The sewage monitoring data that the data processing unit is used to acquire each sensor node carry out pre-
Processing includes data filtering module to obtain data processing unit described in effective sewage monitoring data, and data filtering module is used
In the sewage monitoring data for passing through intelligent gateway filter false, comprising:
(1) removal does not fall within the sewage monitoring data in the effective range of sensor reading；
(2) processing is filtered to remaining sewage monitoring data, specifically:
1) assume that the sensing frequency of all the sensors is consistent and sliding window size is A, calculated using Jaccard similarity function
Two sensor S outI、SJSimilarity Sim (the x of reading behaviorI(t),xJ(t)), wherein xI(t) sensor S is indicatedIIn time t
When level readings, xJ(t) sensor S is indicatedJLevel readings in time t；
2) sensor S is definedI、SJInitial interim similarity are as follows:
The interim similarity at K+1 moment are as follows:
In formula, xI(A+t) sensor S is indicatedIInitial reading behavior, μ are adjustable variable of setting, and the value range of μ is
[-1,1]；
3) shared M sensor is set, sensor S is come fromIAn event query q, in the data that the past is frequently inquired by sensor
Than those seldom by sensor SIThe data and sensor S of readingIWith more correlation, sensor S is calculatedIRank value
QL(q,SI), calculation formula are as follows:
In formula, n (q, SI) it is in past sensor SIEvent query number for inquiry q to some themes, N (q, SI) indicate
Sensor SIFor the event query sum of inquiry q, B is smoothing factor；
4) sensor S is judged using ballot methodIIt is current reading whether be false readings, set discriminant function are as follows:
In formula, net (I) indicates sensor SINeighbours' set of sensors, VDecisionj(I) neighbours' sensor S is indicatedJTo biography
Sensor SIMake and choosing in a vote, chosen two classes in a vote, one kind be it is positive, it is another kind of be it is passive, it is positive for choosing in a vote
When, VDecisionj(I)=1 when, choosing in a vote as passiveness, VDecisionj(I)=0；PIWhen > 0, sensor S is indicatedIWork as
Preceding reading is normal reading, PIWhen < 0, sensor S is indicatedIIt is current reading be false readings.
2. a kind of sewage monitoring system according to claim 1, characterized in that the sewage monitoring data include sewage pH
Value, turbidity, conductivity, temperature, flow, oxygen meltage.
3. a kind of sewage monitoring system according to claim 1, characterized in that the monitoring center include primary server and
Data processing server, the sewage monitoring data acquisition conveyer system are connect with primary server, the primary server and data
The connection of processing server interactive mode.
4. a kind of sewage monitoring system according to claim 1, characterized in that the sewage monitoring data acquisition transmission system
System further includes data transmission unit, and the data transmission unit is used to carry out the transmission of sewage monitoring data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811059672.4A CN109212150A (en) | 2018-09-12 | 2018-09-12 | A kind of sewage monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811059672.4A CN109212150A (en) | 2018-09-12 | 2018-09-12 | A kind of sewage monitoring system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111970656A (en) * | 2020-08-13 | 2020-11-20 | 江苏华东新能源勘探有限公司（江苏省有色金属华东地质勘查局八一三队） | Agricultural sewage treatment system of recycling |
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Application publication date: 20190115 |