CN107991454A - A kind of water pollution source analysis method - Google Patents
A kind of water pollution source analysis method Download PDFInfo
- Publication number
- CN107991454A CN107991454A CN201810046462.5A CN201810046462A CN107991454A CN 107991454 A CN107991454 A CN 107991454A CN 201810046462 A CN201810046462 A CN 201810046462A CN 107991454 A CN107991454 A CN 107991454A
- Authority
- CN
- China
- Prior art keywords
- pollution
- monitoring
- overlapping
- path
- cloud server
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- 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
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A kind of water pollution source analysis method, the water quality monitoring in the cycles such as scope such as carry out to waters, and monitoring data and the geographical coordinate on monitored ground are bound, all exceeded data in the monitoring data are then subjected to classification and ordination and form pollution level sequencing table, the geographical coordinate according to corresponding to the order of the pollution level sequencing table by the detection data forms pollution path using trace-point method.The advantages of for the present invention by possessing the efficient of definite pollution sources, accuracy is high, the repeated work of effective reduction environmental protection administration.
Description
Technical field
The present invention relates to water quality monitoring technical field, and in particular to a kind of water pollution source analysis method.
Background technology
The water quality monitoring in water body basin be environmental protection administration monitoring in it is most important several work one of, existing water
The method of body monitoring be the monitoring personnel in each basin by the water quality data in the basin of each Self management, periodically report, then by total
Pollution sources are found, this mode lacks entirely to showing that the basin of pollution especially severe examines on the spot in data by administrative department
Score of the game is analysed, and causes to typically find the inefficient of pollution sources, and accuracy is low, so as to cause environmental protection administration substantial amounts of repeat occur
Work.
The content of the invention
The object of the present invention is to provide a kind of water pollution source analysis method, the present invention collects each stream by cloud server
The monitoring data in domain simultaneously pollute path in order to intuitively find pollution sources using trace-point method mark.
The present invention above-mentioned technical purpose technical scheme is that：A kind of water pollution source analysis side
Method, the water quality monitoring in the cycles such as scope such as carries out waters, and monitoring data and the geographical coordinate on monitored ground are bound, then
All exceeded data in the monitoring data are subjected to classification and ordination and form pollution level sequencing table, according to the pollution level
The geographical coordinate corresponding to the detection data is formed pollution path by the order of sequencing table using trace-point method.
As a preference of the present invention, following steps are specifically included,
S1, arranges table naturally, wire monitoring station arrangement is carried out to waters along water body flow direction, by described in each monitoring station
Geographical coordinate forms natural ordering table according to the distributing order that the monitoring station is flowed to along water body；
S2, monitoring in real time, the monitoring station is sent by the monitoring data and institute with the fixed cycle to cloud server
State the data packet of geodata composition；
S3, pollution level row table, cloud server by each monitoring index in the monitoring data received every time into
Row sorts to form the pollution level sequencing table equal with the monitoring index quantity respectively；
S4, pollution path are described, and the cloud server is with trace-point method by the geographical coordinate according to each monitoring
Order carries out described point line to determine each monitoring index institute respectively in the pollution level sequencing table corresponding to index
Corresponding pollution path.
As a preference of the present invention, in the S4, the trace-point method comprises the following steps that,
A1, single to take table, the cloud server takes the pollution level sequencing table corresponding to a monitoring index；
A2, overlapping value, the cloud server project the geographical coordinate in the pollution level sequencing table
To take out after the natural ordering table it is all there is precedence is consistent in two tables the geographical coordinate as effective coordinate, will
All effectively coordinates carry out line and form the pollution path.
As a preference of the present invention, further including S5, main path of polluting is described, and the cloud server is by described in every
Pollute path and carry out overlapping analysis to determine the pollution path of primary pollution source.
As a preference of the present invention, the overlapping analysis comprises the following steps that,
B1, total number is overlapping, and all pollution paths are positioned over the same coordinate system by the cloud server；
B2, takes overlay segment, by all overlapping line segments taking-ups that there are two pollution path overlaps to be formed and in order
Connection.
As a preference of the present invention, in the B2, when being connected with the described overlapping of two or more on same coordinate
During line segment, the most line segment of overlapping number is only taken, when having the equal overlapping line segment of more than two overlapping numbers on same coordinate
Shi Ze takes the equal overlapping line segment of all overlapping numbers.
As a preference of the present invention, further include S6, real time inspection, the cloud server by the pollution path send to
Graphical display is carried out on smart mobile phone or intelligent handset.
In conclusion the present invention has the advantages that：
For the present invention by possessing the efficient of definite pollution sources, accuracy is high, effectively reduces the repeated work of environmental protection administration
The advantages of.
Brief description of the drawings
Fig. 1 is the flow chart of the embodiment of the present invention.
Embodiment
The present invention is described in further detail below in conjunction with attached drawing.
The method of the embodiment of the present invention such as is summarized as carrying out waters at the water quality monitoring in the cycles such as scope, and by monitoring data
Bound with the geographical coordinate on monitored ground, all exceeded data in monitoring data then are carried out classification and ordination forms pollution journey
Sequencing table is spent, the geographical coordinate according to corresponding to the order of pollution level sequencing table will detect data forms pollution using trace-point method
Path.
As shown in Figure 1, the specific implementation of the method for the embodiment of the present invention comprises the following steps,
S1, arranges table naturally, wire monitoring station arrangement is carried out to waters along water body flow direction, by the geographical coordinate of each monitoring station
Natural ordering table is formed according to the distributing order that monitoring station is flowed to along water body；
S2, monitoring in real time, monitoring station is sent by monitoring data and geodata structure with the fixed cycle to cloud server
Into data packet；
S3, pollution level row's table, cloud server are divided each monitoring index in the monitoring data received every time
Do not sort to form pollution level sequencing table equal with monitoring index quantity, be both that how many parameter just forms how many pollutions
Degree sequencing table；
S4, pollution path are described, and cloud server is with trace-point method by geographical coordinate according to corresponding to each monitoring index
Order carries out described point line to determine the pollution path corresponding to each monitoring index respectively in pollution level sequencing table.
S5, main path of polluting are described, and cloud server is main dirty to determine by every pollution path progress overlapping analysis
The pollution path in dye source.
S6, real time inspection, cloud server will pollute path and send to carrying out figure on smart mobile phone or intelligent handset
Display.
In S4, trace-point method comprises the following steps that,
A1, single to take table, cloud server takes the pollution level sequencing table corresponding to a monitoring index；
A2, overlapping value, cloud server project the geographical coordinate in the pollution level sequencing table to natural ordering table
Take out afterwards it is all there is precedence is consistent in two tables geographical coordinate as effective coordinate, all effectively coordinates are subjected to lines
Pollution path is formed, wherein precedence is only the priority to sort, and nonessential is adjacent coordinates relation in natural ordering table.
Overlapping analysis comprises the following steps that,
B1, total number is overlapping, and all pollution paths are positioned over the same coordinate system by cloud server；
B2, takes overlay segment, and all overlapping line segments that there are two pollution path overlaps to be formed are taken out and are connected in order.
Wherein, when being connected with two or more overlapping line segment on same coordinate, the most line segment of overlapping number is only taken, when same
Have on coordinate during more than the two equal overlapping line segments of overlapping number and then take the equal overlapping line segment of all overlapping numbers.
This specific embodiment is only explanation of the invention, it is not limitation of the present invention, people in the art
Member as needed can make the present embodiment the modification of no creative contribution after this specification is read, but as long as at this
All protected in the right of invention be subject to Patent Law.
Claims (7)
- A kind of 1. water pollution source analysis method, it is characterised in that：The water quality monitoring in the cycles such as scope such as carry out to waters, and will Monitoring data and the geographical coordinate on monitored ground are bound, and all exceeded data in the monitoring data then are carried out classification row Sequence forms pollution level sequencing table, described according to corresponding to the order of the pollution level sequencing table by the detection data Manage coordinate and form pollution path using trace-point method.
- A kind of 2. water pollution source analysis method according to claim 1, it is characterised in that：Specifically include following steps,S1, arranges table naturally, wire monitoring station arrangement is carried out to waters along water body flow direction, by the geography of each monitoring station Coordinate forms natural ordering table according to the distributing order that the monitoring station is flowed to along water body；S2, in real time monitoring, the monitoring station are sent by monitoring data and described with the fixed cycle to cloud server Manage the data packet that data are formed；S3, pollution level row's table, cloud server are divided each monitoring index in the monitoring data received every time Do not sort to form the pollution level sequencing table equal with the monitoring index quantity；S4, pollution path are described, and the cloud server is with trace-point method by the geographical coordinate according to each monitoring index Order carries out described point line to determine corresponding to each monitoring index respectively in the corresponding pollution level sequencing table Pollution path.
- A kind of 3. water pollution source analysis method according to claim 1, it is characterised in that：It is described to retouch in the S4 Point method comprises the following steps that,A1, single to take table, the cloud server takes the pollution level sequencing table corresponding to a monitoring index；A2, overlapping value, the cloud server project the geographical coordinate in the pollution level sequencing table to institute State take out after natural ordering table it is all there is precedence is consistent in two tables the geographical coordinate as effective coordinate, will be all Effective coordinate carries out line and forms the pollution path.
- A kind of 4. water pollution source analysis method according to claim 1, it is characterised in that：S5 is further included, main pollution Path is described, and the pollution path described in every is carried out overlapping analysis to determine described in primary pollution source by the cloud server Pollute path.
- A kind of 5. water pollution source analysis method according to claim 4, it is characterised in that：The overlapping analysis it is specific Step is as follows,B1, total number is overlapping, and all pollution paths are positioned over the same coordinate system by the cloud server；B2, takes overlay segment, and all overlapping line segments that there are two pollution path overlaps to be formed are taken out and are connected in order.
- A kind of 6. water pollution source analysis method according to claim 5, it is characterised in that：In the B2, when same seat When putting on the overlapping line segment for being connected with two or more, the most line segment of overlapping number is only taken, is had when on same coordinate All overlapping numbers equal overlapping line segment is then taken when there are more than the two equal overlapping line segments of overlapping number.
- A kind of 7. water pollution source analysis method according to claim 1, it is characterised in that：Further include S6, real time inspection, The cloud server sends in the pollution path to carrying out graphical display on smart mobile phone or intelligent handset.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810046462.5A CN107991454B (en) | 2018-01-17 | 2018-01-17 | Water quality pollution source analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810046462.5A CN107991454B (en) | 2018-01-17 | 2018-01-17 | Water quality pollution source analysis method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107991454A true CN107991454A (en) | 2018-05-04 |
| CN107991454B CN107991454B (en) | 2021-03-19 |
Family
ID=62041303
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810046462.5A Active CN107991454B (en) | 2018-01-17 | 2018-01-17 | Water quality pollution source analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107991454B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109001409A (en) * | 2018-09-18 | 2018-12-14 | 南昌工程学院 | Suitable for monitoring the service platform and its working method of different water area water-qualities |
| CN116109118A (en) * | 2023-04-17 | 2023-05-12 | 江苏新睿清智科技有限公司 | Pollution tracing and tracking analysis system and method based on Internet of things |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11256665A (en) * | 1998-03-13 | 1999-09-21 | Hitachi Ltd | Mapping system for river basin control |
| CN1873716A (en) * | 2006-06-16 | 2006-12-06 | 张小平 | Long-range wireless monitoring method and equipment for pollution discharge based on geographical information system |
| CN104865353A (en) * | 2015-06-01 | 2015-08-26 | 上海交通大学 | Atmospheric pollution data acquisition method for industrial park based on unmanned aerial vehicle |
| CN105117856A (en) * | 2015-09-15 | 2015-12-02 | 苏州市伏泰信息科技有限公司 | Intelligent landfill management system based on three-dimensional storage capacity analysis and prediction technique |
| CN105137993A (en) * | 2015-09-09 | 2015-12-09 | 广州睿航电子科技有限公司 | Pollution source tracking method and system used for unmanned ship |
| CN105675448A (en) * | 2014-11-17 | 2016-06-15 | 中国科学院沈阳计算技术研究所有限公司 | Pollutant diffusion dynamic simulation method for water environment quality monitoring |
| CN106355166A (en) * | 2016-10-13 | 2017-01-25 | 北京师范大学 | Monitoring video and remote sensing image-based dust-haze spreading path drawing and source determination method |
| CN106442921A (en) * | 2016-11-28 | 2017-02-22 | 力合科技（湖南）股份有限公司 | Pollutant dispersion tracking method |
| CN107091911A (en) * | 2017-04-17 | 2017-08-25 | 郑州大学环境技术咨询工程有限公司 | A kind of water quality prediction of river method |
| CN107403034A (en) * | 2017-06-28 | 2017-11-28 | 西交利物浦大学 | Water pollution spreads early warning method for visualizing |
| WO2017204653A1 (en) * | 2016-05-24 | 2017-11-30 | Polarcus Dmcc | Hydrocarbon detection |
-
2018
- 2018-01-17 CN CN201810046462.5A patent/CN107991454B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11256665A (en) * | 1998-03-13 | 1999-09-21 | Hitachi Ltd | Mapping system for river basin control |
| CN1873716A (en) * | 2006-06-16 | 2006-12-06 | 张小平 | Long-range wireless monitoring method and equipment for pollution discharge based on geographical information system |
| CN105675448A (en) * | 2014-11-17 | 2016-06-15 | 中国科学院沈阳计算技术研究所有限公司 | Pollutant diffusion dynamic simulation method for water environment quality monitoring |
| CN104865353A (en) * | 2015-06-01 | 2015-08-26 | 上海交通大学 | Atmospheric pollution data acquisition method for industrial park based on unmanned aerial vehicle |
| CN105137993A (en) * | 2015-09-09 | 2015-12-09 | 广州睿航电子科技有限公司 | Pollution source tracking method and system used for unmanned ship |
| CN105117856A (en) * | 2015-09-15 | 2015-12-02 | 苏州市伏泰信息科技有限公司 | Intelligent landfill management system based on three-dimensional storage capacity analysis and prediction technique |
| WO2017204653A1 (en) * | 2016-05-24 | 2017-11-30 | Polarcus Dmcc | Hydrocarbon detection |
| CN106355166A (en) * | 2016-10-13 | 2017-01-25 | 北京师范大学 | Monitoring video and remote sensing image-based dust-haze spreading path drawing and source determination method |
| CN106442921A (en) * | 2016-11-28 | 2017-02-22 | 力合科技（湖南）股份有限公司 | Pollutant dispersion tracking method |
| CN107091911A (en) * | 2017-04-17 | 2017-08-25 | 郑州大学环境技术咨询工程有限公司 | A kind of water quality prediction of river method |
| CN107403034A (en) * | 2017-06-28 | 2017-11-28 | 西交利物浦大学 | Water pollution spreads early warning method for visualizing |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109001409A (en) * | 2018-09-18 | 2018-12-14 | 南昌工程学院 | Suitable for monitoring the service platform and its working method of different water area water-qualities |
| CN116109118A (en) * | 2023-04-17 | 2023-05-12 | 江苏新睿清智科技有限公司 | Pollution tracing and tracking analysis system and method based on Internet of things |
| CN116109118B (en) * | 2023-04-17 | 2023-06-30 | 江苏新睿清智科技有限公司 | Pollution tracing and tracking analysis system and method based on Internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107991454B (en) | 2021-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107527395A (en) | A kind of unmanned plane method for inspecting, device and unmanned plane | |
| CN102116639B (en) | Method and device for automatically checking traffic limit information of electronic map | |
| CN106570917A (en) | Vehicle demand thermodynamic diagram generation method and device thereof | |
| CN107067163A (en) | A kind of breakdown maintenance work dispatching method and device | |
| CN107195175A (en) | A kind of order allocation method and system | |
| CN107991454A (en) | A kind of water pollution source analysis method | |
| CN104951865B (en) | A kind of delivery of goods and materials method for tracing and system based on power grid GIS | |
| CN104270785B (en) | A kind of wireless network region positioning problems method being polymerize based on geographical grid | |
| CN102097004A (en) | Mobile phone positioning data-based traveling origin-destination (OD) matrix acquisition method | |
| CN108510124A (en) | Refuse on water surface paths planning method based on machine learning and device | |
| CN108230698A (en) | traffic flow forecasting method and device | |
| CN103310062A (en) | Simulation testing device and simulation testing method of urban rail transit line | |
| CN105847310A (en) | Position determination method and apparatus | |
| CN206975821U (en) | Long-distance meter-reading system based on unmanned plane | |
| CN103810350A (en) | Automatic pel creating method and creating device thereof | |
| CN112990613B (en) | Population flow simulation prediction method, device, equipment and medium | |
| CN106779388A (en) | A kind of work order intellectuality work dispatching method of flux matched based on work and optimal utility | |
| CN105631551A (en) | Optimal route recommendation method and device | |
| CN109345001A (en) | The unbalance method of adjustment of shared bicycle website and system based on Pareto multiobjective selection | |
| CN109855626B (en) | Indoor map road network generation method based on scanning lines | |
| CN105957071A (en) | Lamp group positioning method and device | |
| CN104502692A (en) | Power abnormality detection method and central processing device | |
| CN110113222B (en) | Method and device for acquiring link bandwidth utilization rate and terminal | |
| CN107071808B (en) | Neighbor cell checking method and device | |
| CN106255126A (en) | A kind of method and device identifying to arrange flowers in base station location district |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |