CN113311131A - Sewage monitoring system based on wireless sensor network - Google Patents
Sewage monitoring system based on wireless sensor network Download PDFInfo
- Publication number
- CN113311131A CN113311131A CN202110588958.7A CN202110588958A CN113311131A CN 113311131 A CN113311131 A CN 113311131A CN 202110588958 A CN202110588958 A CN 202110588958A CN 113311131 A CN113311131 A CN 113311131A
- Authority
- CN
- China
- Prior art keywords
- water quality
- wireless sensor
- quality data
- data
- sensor node
- 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- Withdrawn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
Images
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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/152—Water filtration
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/20—Controlling water pollution; Waste water treatment
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Pure & Applied Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Computational Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- Operations Research (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The invention provides a sewage monitoring system based on a wireless sensor network, which comprises a wireless sensor node, an edge data processing terminal and a monitoring terminal; the wireless sensor node is used for acquiring water quality data of a monitored water area and sending the water quality data to the edge data processing terminal; the edge data processing terminal is used for receiving the water quality data from the wireless sensor nodes, eliminating abnormal water quality data and transmitting correct water quality data to the monitoring terminal; the monitoring terminal is used for identifying correct water quality data and judging whether a water quality pollution event occurs or not according to the water quality data. The invention reserves the screening work of wrong data to the edge data processing terminal for processing, thereby reducing the quantity of water quality data transmitted to the monitoring terminal, effectively reducing the data transmission pressure, being beneficial to realizing the large-scale application of the sewage monitoring system by using computing equipment with lower service performance and effectively reducing the cost of the large-scale application.
Description
Technical Field
The invention relates to the field of monitoring, in particular to a sewage monitoring system based on a wireless sensor network.
Background
In the prior art, when the technology of the internet of things is adopted to monitor sewage, all data are generally directly transmitted back to the data processing center for uniform processing, but the processing mode obviously brings larger data transmission pressure, and the data processing center needs to process a large amount of data to replace a processor with stronger performance, which is obviously not beneficial to the large-scale application of the sewage monitoring system.
Disclosure of Invention
In view of the above problems, the present invention provides a sewage monitoring system based on a wireless sensor network, which includes a wireless sensor node, an edge data processing terminal and a monitoring terminal;
the wireless sensor node is used for acquiring water quality data of a monitored water area and sending the water quality data to the edge data processing terminal;
the edge data processing terminal is used for receiving water quality data from the wireless sensor nodes, removing abnormal water quality data and transmitting correct water quality data to the monitoring terminal;
and the monitoring terminal is used for identifying the correct water quality data and judging whether a water quality pollution event occurs or not according to the water quality data.
Preferably, the wireless sensor nodes form a wireless sensor network in an ad hoc network form;
the wireless sensor node is used for periodically acquiring the water quality data of the position where the wireless sensor node is located and transmitting the water quality data to the edge data processing terminal through the wireless sensor network.
Preferably, the edge data processing terminal judges whether the water quality data is abnormal by:
and calculating the deviation value of the water quality data acquired by the ith wireless sensor node at the time s by the following method:
in the formula, valoff (i, s) represents an offset value of water quality data acquired by the ith wireless sensor node at the time s, data (i, s) represents water quality data acquired by the ith wireless sensor node at the time s, unei represents a set of other wireless sensor nodes in a circular area with the circle center of the ith wireless sensor node and the radius of R; data (j, s) represents water quality data acquired by the jth wireless sensor node in unei at the s moment, and snei represents that unei contains dataThe total number of wireless sensor nodes of (a),
in the formula, distac (i, j) represents a straight-line distance between the ith wireless sensor node and the jth wireless sensor node in unei;
judging whether the deviation value is larger than a preset self-adaptive deviation value threshold value or not, and if so, indicating that the water quality data is abnormal; if not, the water quality data is normal.
Preferably, the monitoring terminal judges whether a water pollution event occurs by the following method:
and judging whether the correct water quality data is in a preset numerical value interval, if so, indicating that no water quality pollution event occurs, and if not, indicating that the water quality pollution event occurs.
Preferably, the sewage monitoring system based on the wireless sensor network further comprises an early warning device, and the early warning device is used for carrying out early warning prompt on workers according to a preset early warning mode when a water pollution event occurs.
Preferably, the preset early warning method includes:
sending an early warning short message to a worker;
and (5) making an early warning call to a worker.
The invention reserves the screening work of wrong data to the edge data processing terminal for processing, thereby reducing the quantity of water quality data transmitted to the monitoring terminal, effectively reducing the data transmission pressure, being beneficial to realizing the large-scale application of the sewage monitoring system by using computing equipment with lower service performance and effectively reducing the cost of the large-scale application.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an exemplary embodiment of a sewage monitoring system based on a wireless sensor network according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, the present invention provides a wireless sensor network-based sewage monitoring system, which includes a wireless sensor node, an edge data processing terminal, and a monitoring terminal;
the wireless sensor node is used for acquiring water quality data of a monitored water area and sending the water quality data to the edge data processing terminal;
the edge data processing terminal is used for receiving water quality data from the wireless sensor nodes, removing abnormal water quality data and transmitting correct water quality data to the monitoring terminal;
and the monitoring terminal is used for identifying the correct water quality data and judging whether a water quality pollution event occurs or not according to the water quality data.
Specifically, the water quality data includes water temperature, transparency, BOD index, COD index, and the like. The wireless sensor nodes are used, the communication cables can be prevented from being laid in the monitoring water area, monitoring cost is reduced, and meanwhile maintenance cost can be reduced due to the fact that the communication cables with large scale do not need to be maintained.
Wireless sensor nodes are dispersed in a monitored body of water, and adjacent wireless sensor nodes are capable of communicating with each other.
Preferably, the wireless sensor nodes form a wireless sensor network in an ad hoc network form;
the wireless sensor node is used for periodically acquiring the water quality data of the position where the wireless sensor node is located and transmitting the water quality data to the edge data processing terminal through the wireless sensor network.
Preferably, the edge data processing terminal judges whether the water quality data is abnormal by:
and calculating the deviation value of the water quality data acquired by the ith wireless sensor node at the time s by the following method:
in the formula, valoff (i, s) represents an offset value of water quality data acquired by the ith wireless sensor node at the time s, data (i, s) represents water quality data acquired by the ith wireless sensor node at the time s, unei represents a set of other wireless sensor nodes in a circular area with the circle center of the ith wireless sensor node and the radius of R; data (j, s) represents the water quality data acquired by the jth wireless sensor node in the unei at the s moment, snei represents the total number of the wireless sensor nodes contained in the unei,
in the formula, distac (i, j) represents a straight-line distance between the ith wireless sensor node and the jth wireless sensor node in unei;
judging whether the deviation value is larger than a preset self-adaptive deviation value threshold value or not, and if so, indicating that the water quality data is abnormal; if not, the water quality data is normal.
In the above embodiment of the present invention, the determination of whether the water quality data is abnormal is not a conventional determination method, that is, the water quality data is directly compared with a certain threshold, and then the determination of whether the water quality data is abnormal is performed. The invention firstly calculates the deviant, and then judges whether the water quality data is abnormal according to the size relation between the deviant and the adaptive deviant threshold value, thereby well solving the problem, and the threshold value is adaptively changed, so that the threshold values at different moments can be accurately obtained for different wireless sensor nodes in time. When the deviation value is calculated, the wireless sensor nodes in the circular area are used as reference, the weights are generated according to the distance and the difference of the acquired water quality data, the water quality data acquired by other wireless sensor nodes in the circular area at the same moment are weighted and summed, then the deviation value is obtained by acquiring the absolute value between the water quality data of which the deviation value needs to be calculated and the weighted and summed value, and the accuracy of judging whether the water quality data is abnormal is effectively improved. According to the invention, because the data at the same moment are compared, if a water quality pollution event occurs, the numerical values of the sensor nodes in the circular area are all larger, and the embodiment of the invention cannot be mistakenly judged as abnormal data because the numerical value of the water quality data of a certain wireless sensor node is larger.
Preferably, the adaptive offset value threshold is calculated by:
in the formula, adpthre (s +1) and adpthre(s) respectively represent adaptive offset value thresholds at time s +1 and time s, and valst represents a preset constant type value.
The adaptive offset value threshold value of the invention is gradually increased along with the increase of time, and the invention can adapt to the situation that the accuracy of the wireless sensor node is reduced along with the increase of the continuous working time.
Preferably, the monitoring terminal judges whether a water pollution event occurs by the following method:
and judging whether the correct water quality data is in a preset numerical value interval, if so, indicating that no water quality pollution event occurs, and if not, indicating that the water quality pollution event occurs.
Preferably, the sewage monitoring system based on the wireless sensor network further comprises an early warning device, and the early warning device is used for carrying out early warning prompt on workers according to a preset early warning mode when a water pollution event occurs.
Preferably, the preset early warning method includes:
sending an early warning short message to a worker;
and (5) making an early warning call to a worker.
Specifically, the early warning short message may include information about the type, the occurrence location, the occurrence event, and the like of the water quality pollution event. And the early warning telephone plays the related early warning information to the staff in a voice mode after dialing the telephone.
The invention reserves the screening work of wrong data to the edge data processing terminal for processing, thereby reducing the quantity of water quality data transmitted to the monitoring terminal, effectively reducing the data transmission pressure, being beneficial to realizing the large-scale application of the sewage monitoring system by using computing equipment with lower service performance and effectively reducing the cost of the large-scale application.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (6)
1. A sewage monitoring system based on a wireless sensor network is characterized by comprising wireless sensor nodes, an edge data processing terminal and a monitoring terminal;
the wireless sensor node is used for acquiring water quality data of a monitored water area and sending the water quality data to the edge data processing terminal;
the edge data processing terminal is used for receiving water quality data from the wireless sensor nodes, removing abnormal water quality data and transmitting correct water quality data to the monitoring terminal;
and the monitoring terminal is used for identifying the correct water quality data and judging whether a water quality pollution event occurs or not according to the water quality data.
2. The wireless sensor network-based sewage monitoring system according to claim 1, wherein the wireless sensor nodes form a wireless sensor network in an ad hoc network form;
the wireless sensor node is used for periodically acquiring the water quality data of the position where the wireless sensor node is located and transmitting the water quality data to the edge data processing terminal through the wireless sensor network.
3. The wireless sensor network-based sewage monitoring system of claim 1, wherein the edge data processing terminal determines whether the water quality data is abnormal by:
and calculating the deviation value of the water quality data acquired by the ith wireless sensor node at the time s by the following method:
in the formula, valoff (i, s) represents an offset value of water quality data acquired by the ith wireless sensor node at the time s, data (i, s) represents water quality data acquired by the ith wireless sensor node at the time s, unei represents a set of other wireless sensor nodes in a circular area with the circle center of the ith wireless sensor node and the radius of R; data (j, s) represents the water quality data acquired by the jth wireless sensor node in the unei at the s moment, snei represents the total number of the wireless sensor nodes contained in the unei,
judging whether the deviation value is larger than a preset self-adaptive deviation value threshold value or not, and if so, indicating that the water quality data is abnormal; if not, the water quality data is normal.
4. The wireless sensor network-based sewage monitoring system of claim 1, wherein the monitoring terminal determines whether a water pollution event occurs by:
and judging whether the correct water quality data is in a preset numerical value interval, if so, indicating that no water quality pollution event occurs, and if not, indicating that the water quality pollution event occurs.
5. The wireless sensor network-based sewage monitoring system according to claim 1, further comprising an early warning device for giving an early warning prompt to a worker according to a preset early warning mode when a water pollution event occurs.
6. The wireless sensor network-based sewage monitoring system according to claim 5, wherein the preset early warning manner comprises:
sending an early warning short message to a worker;
and (5) making an early warning call to a worker.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110588958.7A CN113311131A (en) | 2021-05-28 | 2021-05-28 | Sewage monitoring system based on wireless sensor network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110588958.7A CN113311131A (en) | 2021-05-28 | 2021-05-28 | Sewage monitoring system based on wireless sensor network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113311131A true CN113311131A (en) | 2021-08-27 |
Family
ID=77375870
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110588958.7A Withdrawn CN113311131A (en) | 2021-05-28 | 2021-05-28 | Sewage monitoring system based on wireless sensor network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113311131A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114997766A (en) * | 2022-04-15 | 2022-09-02 | 北京邮电大学 | Electronic commerce system based on cloud service |
-
2021
- 2021-05-28 CN CN202110588958.7A patent/CN113311131A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114997766A (en) * | 2022-04-15 | 2022-09-02 | 北京邮电大学 | Electronic commerce system based on cloud service |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3824659B1 (en) | Detecting communication network insights of alerts | |
| CN113242526B (en) | Cloud computing server room real-time monitoring system | |
| CN105915388B (en) | A kind of Transducer-fault Detecting Method and system based on distributed network | |
| CN113311131A (en) | Sewage monitoring system based on wireless sensor network | |
| EP2454848A1 (en) | Method and apparatus for telecommunications network performance anomaly events detection and notification | |
| CN114302362B (en) | Bridge intelligent sensing system based on Internet of things | |
| EP1515463A1 (en) | Mobile station executing alarm of a degraded communication quality | |
| CN111682975B (en) | Network state prediction method, device, electronic equipment and storage medium | |
| JPH11168410A (en) | Transmission line switching controller | |
| CN111901134B (en) | Method and device for predicting network quality based on recurrent neural network model (RNN) | |
| CN108270932B (en) | Communication number identification method and device | |
| CN111078503B (en) | Abnormality monitoring method and system | |
| CN107517120A (en) | A kind of method and device for detecting user's online quality | |
| CN112311454B (en) | Method, device and equipment for determining state of optical module | |
| CN109981358A (en) | A kind of adaptive network performance method for early warning based on built-up pattern | |
| JP2003259412A (en) | Mobile communication controller | |
| CN114337810B (en) | All-optical network communication system and communication method | |
| EP3848804A1 (en) | Telemetry-based method and system for predictive resource scaling | |
| EP1876787A1 (en) | Network call routing method and network calling center | |
| CN110577126B (en) | Intelligent elevator safety management system | |
| CN109803301B (en) | Offline identification management system for wireless network | |
| CN112838957A (en) | Flow prediction system with intelligent scheduling function | |
| CN113645584A (en) | Transformer state acquisition system based on Internet of things | |
| CN106452863B (en) | The resource allocation and prediction technique and device of a kind of information system | |
| CN111769993A (en) | Method and system for dynamically calling communication gateway of Internet of things |
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: 20210827 |