CN113970627A - Water quality monitoring and early warning method and system - Google Patents
Water quality monitoring and early warning method and system Download PDFInfo
- Publication number
- CN113970627A CN113970627A CN202111231846.2A CN202111231846A CN113970627A CN 113970627 A CN113970627 A CN 113970627A CN 202111231846 A CN202111231846 A CN 202111231846A CN 113970627 A CN113970627 A CN 113970627A
- Authority
- CN
- China
- Prior art keywords
- water quality
- data
- quality monitoring
- monitoring
- early warning
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 219
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 193
- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000002159 abnormal effect Effects 0.000 claims abstract description 76
- 238000009792 diffusion process Methods 0.000 claims abstract description 59
- 238000007726 management method Methods 0.000 claims abstract description 34
- 238000013523 data management Methods 0.000 claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 21
- 239000002352 surface water Substances 0.000 claims abstract description 18
- 239000008399 tap water Substances 0.000 claims abstract description 16
- 235000020679 tap water Nutrition 0.000 claims abstract description 16
- 238000012216 screening Methods 0.000 claims abstract description 8
- 239000003344 environmental pollutant Substances 0.000 claims description 12
- 231100000719 pollutant Toxicity 0.000 claims description 12
- 239000003673 groundwater Substances 0.000 claims description 10
- 238000010790 dilution Methods 0.000 claims description 7
- 239000012895 dilution Substances 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 abstract description 4
- 230000005540 biological transmission Effects 0.000 description 8
- 239000000126 substance Substances 0.000 description 8
- 230000008713 feedback mechanism Effects 0.000 description 6
- 244000005700 microbiome Species 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 5
- 238000010276 construction Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 239000012535 impurity Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- VEXZGXHMUGYJMC-UHFFFAOYSA-M Chloride anion Chemical compound [Cl-] VEXZGXHMUGYJMC-UHFFFAOYSA-M 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 239000000356 contaminant Substances 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 229910001385 heavy metal Inorganic materials 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000013024 troubleshooting Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Food Science & Technology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Remote Sensing (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (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 discloses a water quality monitoring and early warning method and system. The method comprises the steps of collecting underground water quality monitoring data, surface water quality monitoring data and/or tap water quality monitoring data through a water quality monitoring system, sending the collected water quality monitoring data to a data management platform for analysis and processing, screening abnormal data, predicting a diffusion range and a diffusion path of a water body corresponding to the abnormal data, displaying the abnormal data and the diffusion range and the diffusion path of the corresponding water body on a virtual map, and finally sending the abnormal data to a management terminal. And abnormal data and the diffusion range and the diffusion path of the corresponding water body are displayed on the virtual map, so that managers can visually check the abnormal conditions of the water body, and the effective treatment can be quickly carried out.
Description
Technical Field
The invention relates to the technical field of water quality monitoring, in particular to a water quality monitoring and early warning method and system.
Background
With the rapid development of national economy and the continuous acceleration of urbanization process, the construction of smart cities becomes an important content in the urbanization construction. The smart city fully applies a new generation of information technology to various urban industries, and based on the urban informatization advanced form of the next generation innovation (innovation 2.0) of the knowledge society, the intelligent city can realize the deep integration of informatization, industrialization and urbanization, is beneficial to relieving the large urban diseases, improves the urbanization quality, realizes the fine and dynamic management, improves the urban management effect and improves the quality of life of citizens. With the development and maturity of the internet of things technology, the internet of things technology has been deeply involved in all links of smart city construction. In the construction of smart cities, water quality safety has become one of the focus of attention. People pay more and more attention to various water quality safety problems and put forward higher and higher requirements. For example, underground water quality safety, river and lake water quality safety, tap water quality safety, and the like.
At present, a water quality monitoring system is single in mode and small in detection quantity, functions of underground water monitoring, surface water monitoring, tap water monitoring and the like cannot be considered simultaneously, most of detection systems are wired, the problems of line aging, short service life and cost increase exist, particularly, a sampling monitoring mode is adopted in many local water quality monitoring, the efficiency is low, and the water quality condition cannot be accurately and effectively reflected. Therefore, the existing water quality monitoring technology cannot meet the construction standard of a smart city.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides the following technical scheme.
The invention provides a water quality monitoring and early warning method on one hand, which comprises the following steps:
acquiring water quality monitoring data;
screening abnormal data from the water quality monitoring data;
predicting the diffusion range and diffusion path of the corresponding water body according to the abnormal data;
displaying the water quality monitoring data on a virtual map, wherein the displaying comprises distinguishing and displaying the abnormal data, and displaying the diffusion range and the diffusion path;
and sending early warning information to different levels of management terminals corresponding to the monitoring points where the abnormal data are located, and if the feedback information of the next level of management terminal is not received, sending the early warning information to the previous level of management terminal, wherein the early warning information comprises the abnormal data, and the display results of the diffusion range, the diffusion path and/or the water quality monitoring data of the corresponding water body predicted according to the abnormal data on a virtual map.
Preferably, the water quality monitoring data comprises groundwater water quality monitoring data, surface water quality monitoring data and/or tap water quality monitoring data.
Preferably, the acquiring water quality monitoring data includes:
acquiring water quality monitoring data of each monitoring point by using a water quality monitor which is arranged at a plurality of monitoring points in a gridding mode;
and the water quality monitor wirelessly transmits the water quality monitoring data to a data management platform.
Preferably, the screening of abnormal data from the water quality monitoring data includes:
and comparing the water quality monitoring data with a preset standard numerical value, and if the water quality monitoring data does not accord with the preset standard numerical value, determining that the data is abnormal data.
Preferably, the water body corresponding to the abnormal data is subjected to abnormal classification according to the deviation of the abnormal data and the preset standard value.
Preferably, the predicting the diffusion range and the diffusion path of the corresponding water body according to the abnormal data includes:
calculating the diffusion distance of the water body by using the dilution coefficient of the pollutants;
and determining a diffusion range and a diffusion path in the virtual map according to the position of the monitoring point where the abnormal data is located and the diffusion distance of the water body.
Preferably, the contaminant dilution factor K is calculated using the following formula:
K＝(C1-C2)*2/(V1+V2)*L1
in the formula, C1 is the pollutant concentration of the first monitoring point, C2 is the pollutant concentration of the second monitoring point close to the first monitoring point, L1 is the distance between the first monitoring point and the second monitoring point, V1 is the water flow speed of the first monitoring point, and V2 is the water flow speed of the second monitoring point close to the first monitoring point.
Preferably, historical data of each monitoring point, a virtual map mark of a key monitoring area and/or monitoring data in a certain time period are also displayed on the virtual map.
A second aspect of the present invention provides a data management platform, including: the water quality monitoring and early warning system comprises a processor and a memory connected with the processor, wherein the memory stores a plurality of instructions which can be loaded and executed by the processor, so that the processor can execute the water quality monitoring and early warning method.
The third aspect of the invention provides a water quality monitoring and early warning system, which comprises the data management platform, a water quality monitoring system and a management terminal;
the water quality monitoring system comprises a groundwater water quality monitoring system, a surface water quality monitoring system and/or a tap water quality monitoring system, wherein the groundwater water quality monitoring system, the surface water quality monitoring system and/or the tap water quality monitoring system are all provided with a plurality of monitoring points in a gridding mode, each monitoring point is provided with a water quality monitor for monitoring water quality data, and the water quality monitors wirelessly transmit the monitored water quality data to the data management platform;
the management terminal is provided with a plurality of levels and is used for receiving the early warning information of the corresponding monitoring points sent by the data management platform and sending the processing information of the monitoring points where the abnormal data are located to the data management platform.
The invention has the beneficial effects that: the invention provides a water quality monitoring and early warning method and system, which are characterized in that a water quality monitoring system is used for collecting underground water quality monitoring data, surface water quality monitoring data and/or tap water quality monitoring data, the collected water quality monitoring data are sent to a data management platform for analysis and processing, abnormal data are screened out, the diffusion range and the diffusion path of a water body corresponding to the abnormal data are predicted, the abnormal data and the diffusion range and the diffusion path of the corresponding water body are displayed on a virtual map, and finally the abnormal data and the diffusion range and the diffusion path of the corresponding water body are sent to a management terminal, and personnel at the management terminal are used for timely and effectively processing the monitoring point where the abnormal data are located and the water body on the predicted diffusion path, so that the water quality safety of underground water, surface water and/or tap water is ensured. And abnormal data and the diffusion range and the diffusion path of the corresponding water body are displayed on the virtual map, so that managers can visually check the abnormal conditions of the water body, and the effective treatment can be quickly carried out.
Drawings
FIG. 1 is a schematic flow chart of a water quality monitoring and early warning method of the invention;
FIG. 2 is a schematic diagram of a water quality monitoring and early warning system according to the present invention.
Detailed Description
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
The method provided by the invention can be implemented in the following terminal environment, and the terminal can comprise one or more of the following components: a processor, a memory, and a display screen. Wherein the memory has stored therein at least one instruction that is loaded and executed by the processor to implement the methods described in the embodiments described below.
A processor may include one or more processing cores. The processor connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory, and calling data stored in the memory.
The Memory may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). The memory may be used to store instructions, programs, code sets, or instructions.
The display screen is used for displaying user interfaces of all the application programs.
In addition, those skilled in the art will appreciate that the above-described terminal configurations are not intended to be limiting, and that the terminal may include more or fewer components, or some components may be combined, or a different arrangement of components. For example, the terminal further includes a radio frequency circuit, an input unit, a sensor, an audio circuit, a power supply, and other components, which are not described herein again.
Example one
As shown in fig. 1, an embodiment of the present invention provides a water quality monitoring and early warning method, including:
s101, acquiring water quality monitoring data;
s102, screening abnormal data from the water quality monitoring data;
s103, predicting a diffusion range and a diffusion path of the corresponding water body according to the abnormal data;
s104, displaying the water quality monitoring data on a virtual map, wherein the displaying comprises distinguishing and displaying the abnormal data and displaying the diffusion range and the diffusion path;
and S105, sending early warning information to different levels of management terminals corresponding to the monitoring points where the abnormal data are located, and if the feedback information of the next level of management terminal is not received, sending the early warning information to the previous level of management terminal, wherein the early warning information comprises the abnormal data and the display results of the diffusion range, the diffusion path and/or the water quality monitoring data of the corresponding water body predicted according to the abnormal data on the virtual map.
In step S101, the water quality monitoring data includes groundwater water quality monitoring data, surface water quality monitoring data, and/or tap water quality monitoring data.
In a preferred embodiment of the present invention, the acquiring water quality monitoring data includes:
acquiring water quality monitoring data of each monitoring point by using a water quality monitor which is arranged at a plurality of monitoring points in a gridding mode;
and the water quality monitor wirelessly transmits the water quality monitoring data to a data management platform.
Wherein, set up a plurality of monitoring points in monitoring area, and adopt the position that the monitoring point was arranged to the grid mode. The water quality monitoring data comprises parameter data of underground water such as water temperature, water level, flow rate, PH value, chemical components and microorganisms, parameter data of surface water such as impurity amount, chromaticity, flow rate, water temperature, water level, PH value, chemical components and microorganisms, parameter data of tap water such as impurity, chromaticity, flow rate, water temperature, PH value, chemical components (heavy metal and chloride), microorganisms and other harmful substances.
The water quality monitor can be provided with a wireless data transmission module, and after water quality data are collected, the data can be transmitted to the data management platform through the wireless data transmission module.
Step S102 is executed, after the data management platform obtains the water quality monitoring data, the data may be firstly analyzed, and abnormal data may be screened from all the water quality monitoring data, which may specifically include:
and comparing the water quality monitoring data with a preset standard numerical value, and if the water quality monitoring data does not accord with the preset standard numerical value, determining that the data is abnormal data.
In this embodiment, the preset standard value may be a standard value interval, and in the analysis process, if a certain water quality parameter data of the sampled water body at a certain monitoring point is not within the standard value interval corresponding to the water quality parameter, the water quality parameter data is marked and recorded as abnormal data.
And screening out null data in the abnormal data. And then grading the marked abnormal data according to a preset abnormal level, specifically grading according to the deviation of the monitoring data and a standard numerical value interval. The abnormality levels may include severe abnormality, moderate abnormality, mild abnormality, and no abnormality.
Executing step S103, and predicting the diffusion range and diffusion path of the corresponding water body according to the abnormal data comprises the following steps:
calculating the diffusion distance of the water body by using the dilution coefficient of the pollutants;
and determining a diffusion range and a diffusion path in the virtual map according to the position of the monitoring point where the abnormal data is located and the diffusion distance of the water body.
Wherein the contaminant dilution factor K can be calculated using the following formula:
K＝(C1-C2)*2/(V1+V2)*L1
wherein C1 is the pollutant concentration of a first monitoring point, C2 is the pollutant concentration of a second monitoring point close to the first monitoring point, L1 is the distance between the first monitoring point and the second monitoring point, V1 is the water flow speed of the first monitoring point, and V2 is the water flow speed of the second monitoring point close to the first monitoring point;
the diffusion distance of the water body can be calculated by the following formula:
L＝(C1-C)/(K*Vt)
where C1 is the pollutant concentration at the first monitoring point, C is the concentration meeting the emission standard, K is the pollutant dilution factor of the water area, and Vt is the average water flow velocity of the water area.
The Vt may be preliminarily calculated by real-time monitoring data of two close monitoring points, and the specific calculation formula may be:
Vt＝(V1+V2)/2
where V1 is the water flow rate at the first monitoring point and V2 is the water flow rate at a second monitoring point that is close to the first monitoring point.
As will be appreciated by those skilled in the art, the diffusion distance of the body of water may also be calculated according to other methods known in the art.
And step S104 is executed, the water quality monitoring data is displayed on a virtual map, the abnormal data is distinguished and displayed, and the diffusion range and the diffusion path are displayed.
The abnormal data and the normal data can be displayed in different colors in a distinguishing mode, the abnormal data can be highlighted, and the abnormal data can be more visual. Moreover, the display can be distinguished according to the level division of the abnormal data. The diffusion range and the diffusion path of the abnormal water body obtained through prediction can be displayed through gradient colors.
In a preferred embodiment of the present invention, historical data of each monitoring point, a virtual map mark of a key monitoring area, and/or monitoring data within a certain time period may also be displayed on the virtual map.
And S105, sending early warning information to different levels of management terminals corresponding to the monitoring points where the abnormal data are located, and if the feedback information of the next level of management terminal is not received, sending the early warning information to the previous level of management terminal, wherein the early warning information comprises the abnormal data and the display results of the diffusion range, the diffusion path and/or the water quality monitoring data of the corresponding water body predicted according to the abnormal data on the virtual map.
After the data management platform sends the early warning information to the management terminals of different levels of the monitoring points where the abnormal data are located, the management personnel of the management terminals can usually verify the monitoring equipment of the monitoring points where the abnormal data are located according to the abnormal data information, timely feed back the verification result to the data management platform, and timely perform abnormal work processing according to the condition of the abnormal monitoring information, wherein the processing includes troubleshooting, starting and stopping, management and control and the like.
The management terminal can construct a multi-user mutual-aid water quality safety feedback mechanism through social attributes of the App and the WeChat small program, after abnormal data of detection and early warning are uploaded to the data management platform by monitoring points at all levels, the data management platform can inform the App and the WeChat small program in the corresponding management terminal through a message forwarding mechanism to wait for timely processing by workers, when the workers do not process within a certain time, the early warning data are forwarded to a user at a higher management layer through the data management platform to be processed, a higher-level response strategy is realized, and the multi-user mutual-aid processing feedback mechanism is realized.
Example two
An embodiment of the present invention provides a data management platform, including: the system comprises a processor and a memory connected with the processor, wherein the memory stores a plurality of instructions which can be loaded and executed by the processor to enable the processor to execute the method according to the first embodiment.
EXAMPLE III
As shown in fig. 2, an embodiment of the present invention provides a water quality monitoring and early warning system, which includes a data management platform 302 according to the second embodiment, a water quality monitoring system 301, and a management terminal 303.
The water quality monitoring system 301 comprises a groundwater water quality monitoring system, a surface water quality monitoring system and/or a tap water quality monitoring system, the groundwater water quality monitoring system, the surface water quality monitoring system and/or the tap water quality monitoring system all adopt a gridding mode to arrange a plurality of monitoring points, each monitoring point is provided with a water quality monitor used for monitoring water quality data, the water quality data monitored by the water quality monitor are wirelessly transmitted to the data management platform 302.
The management terminal 303 is provided with a plurality of levels, and is configured to receive the early warning information of the corresponding monitoring point sent by the data management platform 302, and also is configured to send processing information of the monitoring point where the abnormal data is located to the data management platform 302.
In the embodiment of the invention, the underground water quality monitoring system can comprise a water quality monitor placed in underground water, the monitor can detect data of parameters such as water temperature, water level, PH value, chemical components, microorganisms and the like of the underground water, the part of the monitor placed on the ground can be composed of a built-in wireless network data transmission module, a solar optical panel and a storage battery, and when the monitor detects underground water quality data of a monitoring point in real time, the water quality data can be transmitted to a data management platform through the wireless network data module; the solar light panel and the storage battery can supply power to the monitor by using solar energy.
The surface water quality monitoring system can comprise a water quality monitor arranged in surface water such as rivers and lakes, the monitor can detect data of parameters such as impurity amount, chromaticity, water temperature, water level, PH value, chemical composition and microorganism of the surface water, a wireless network data transmission module can be arranged in the monitor, a solar light panel and a storage battery can be arranged on the ground, and the solar light panel and the storage battery can utilize solar energy to supply power for the monitor. When the monitor detects the water quality data in rivers and lakes, the water quality data can be transmitted to the data management platform through the wireless network data module.
Running water quality monitoring system can be including installing in the water quality monitoring ware of running water export, this monitor can detect the impurity of running water, the colourity, the temperature, the pH value, chemical composition (heavy metal, chloride), microorganism, the data of other harmful substance isoparametric, can be provided with wireless network data transmission module in the monitor, this monitor adopts the power cord power supply at indoor monitoring point usually, adopt solar energy power supply (being provided with solar photovoltaic panel, battery) at outdoor monitoring point, after this monitor detected running water quality of water data, can be through wireless network data module with quality of water data transmission to data management platform.
In the embodiment of the invention, the data management platform can adopt an internet of things cloud platform.
The Internet of things cloud platform can comprise a data transmission module, a data processing module, a data modeling module, a scene database, a virtual display module and a data storage module; the data transmission module is used for receiving, issuing and forwarding service data such as monitoring data and analysis data; the data processing module is used for screening and filtering the monitoring data and then analyzing and processing the data; the data modeling module is used for importing monitoring data into a smart city scene model database, and forming a virtual display effect by utilizing various monitoring data of each monitoring point and scene data of each monitoring point, wherein the virtual display effect comprises a virtual map water quality state display graph, a smart city key monitoring region highlight graph, a key monitoring index data change schematic diagram in a certain time period and the like; the scene database is used for storing model data for constructing a three-dimensional smart city scene, and the model data comprises smart city virtual map information, historical data information of each monitoring point, virtual map marking information of a key monitoring area, a monitoring data set in a certain time period and the like; the virtual display module is used for displaying model data of the three-dimensional virtual city scene; the data storage module is used for storing monitoring data.
In the embodiment of the invention, the management terminal can adopt a mobile terminal. The mobile terminal is connected with the Internet of things cloud platform through a wireless network.
The Internet of things cloud platform sends abnormal data information to the mobile terminal, and a mobile terminal manager verifies monitoring equipment of a monitoring point according to the abnormal data information, timely feeds a verification result back to the Internet of things cloud platform, and timely performs abnormal work processing according to the condition of the abnormal monitoring information, wherein the processing comprises troubleshooting, starting and stopping, management and control and the like.
The mobile terminal can construct a multi-user mutual-aid water quality safety feedback mechanism through social attributes of the App and the WeChat small program, when abnormal data of detection and early warning of each level of monitoring points are uploaded to the Internet of things cloud platform, the App and the WeChat small program in the corresponding mobile terminal device are notified through a message forwarding mechanism to wait for timely processing of workers, when the workers do not process within a certain time, the early warning data are forwarded to users of a higher management layer through the Internet of things cloud platform to be processed, a higher-level response strategy is realized, and the multi-user mutual-aid processing feedback mechanism is realized.
The water quality monitoring and early warning system provided by the embodiment of the invention mainly comprises an Internet of things cloud platform, a mobile terminal, a groundwater water quality monitoring system, a surface water quality monitoring system and a tap water quality monitoring system. Through adopting nimble design, have better convenience and security, integrated functions such as different water quality monitoring, can solve the single problem of city water quality monitoring among the prior art. Meanwhile, the invention constructs a processing feedback mechanism of the staff by utilizing social attributes of App, WeChat applet and the like in the mobile terminal. After the subsystems at all levels upload alarm data to the Internet of things cloud platform, informing the corresponding App and the WeChat applet in the mobile terminal through a message forwarding mechanism, and waiting for field processing of workers. When the workers do not process the alarm data within a certain time, the alarm data are forwarded to the users of the superior management personnel through the Internet of things cloud platform, a higher-level response strategy is realized, and a multi-user mutual aid processing feedback mechanism is realized. Compared with other water quality monitoring systems, the water quality monitoring and early warning system provided by the invention has higher accuracy and timeliness, can provide a high-quality water resource environment for cities, and has higher market application value and wide social significance.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A water quality monitoring and early warning method is characterized by comprising the following steps:
acquiring water quality monitoring data;
screening abnormal data from the water quality monitoring data;
predicting the diffusion range and diffusion path of the corresponding water body according to the abnormal data;
displaying the water quality monitoring data on a virtual map, wherein the displaying comprises distinguishing and displaying the abnormal data, and displaying the diffusion range and the diffusion path;
and sending early warning information to different levels of management terminals corresponding to the monitoring points where the abnormal data are located, and if the feedback information of the next level of management terminal is not received, sending the early warning information to the previous level of management terminal, wherein the early warning information comprises the abnormal data, and the display results of the diffusion range, the diffusion path and/or the water quality monitoring data of the corresponding water body predicted according to the abnormal data on a virtual map.
2. The water quality monitoring and early warning method of claim 1, wherein the water quality monitoring data comprises groundwater quality monitoring data, surface water quality monitoring data and/or tap water quality monitoring data.
3. The water quality monitoring and early warning method of claim 1, wherein the acquiring water quality monitoring data comprises:
acquiring water quality monitoring data of each monitoring point by using a water quality monitor which is arranged at a plurality of monitoring points in a gridding mode;
and the water quality monitor wirelessly transmits the water quality monitoring data to a data management platform.
4. The water quality monitoring and early warning method of claim 1, wherein the screening of abnormal data from the water quality monitoring data comprises:
and comparing the water quality monitoring data with a preset standard numerical value, and if the water quality monitoring data does not accord with the preset standard numerical value, determining that the data is abnormal data.
5. The water quality monitoring and early warning method according to claim 4, wherein the water body corresponding to the abnormal data is subjected to abnormal classification according to the deviation of the abnormal data and the preset standard value.
6. The water quality monitoring and early warning method of claim 1, wherein the predicting the diffusion range and diffusion path of the corresponding water body according to the abnormal data comprises:
calculating the diffusion distance of the water body by using the dilution coefficient of the pollutants;
and determining a diffusion range and a diffusion path in the virtual map according to the position of the monitoring point where the abnormal data is located and the diffusion distance of the water body.
7. The water quality monitoring and early warning method according to claim 6, wherein the pollutant dilution factor K is calculated by the following formula:
K＝(C1-C2)*2/(V1+V2)*L1
in the formula, C1 is the pollutant concentration of the first monitoring point, C2 is the pollutant concentration of the second monitoring point close to the first monitoring point, L1 is the distance between the first monitoring point and the second monitoring point, V1 is the water flow speed of the first monitoring point, and V2 is the water flow speed of the second monitoring point close to the first monitoring point.
8. The water quality monitoring and early warning method according to claim 1, wherein historical data of each monitoring point, a virtual map mark of a key monitoring area and/or monitoring data in a certain time period are also displayed on the virtual map.
9. A data management platform, comprising: a processor and a memory coupled to the processor, the memory storing a plurality of instructions that are loadable and executable by the processor to enable the processor to perform the method of any of claims 1-8.
10. A water quality monitoring and early warning system, which is characterized by comprising the data management platform as claimed in claim 9, a water quality monitoring system and a management terminal;
the water quality monitoring system comprises a groundwater water quality monitoring system, a surface water quality monitoring system and/or a tap water quality monitoring system, wherein the groundwater water quality monitoring system, the surface water quality monitoring system and/or the tap water quality monitoring system are all provided with a plurality of monitoring points in a gridding mode, each monitoring point is provided with a water quality monitor for monitoring water quality data, and the water quality monitors wirelessly transmit the monitored water quality data to the data management platform;
the management terminal is provided with a plurality of levels and is used for receiving the early warning information of the corresponding monitoring points sent by the data management platform and sending the processing information of the monitoring points where the abnormal data are located to the data management platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111231846.2A CN113970627B (en) | 2021-10-22 | 2021-10-22 | Water quality monitoring and early warning method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111231846.2A CN113970627B (en) | 2021-10-22 | 2021-10-22 | Water quality monitoring and early warning method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113970627A true CN113970627A (en) | 2022-01-25 |
| CN113970627B CN113970627B (en) | 2023-04-07 |
Family
ID=79587857
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111231846.2A Active CN113970627B (en) | 2021-10-22 | 2021-10-22 | Water quality monitoring and early warning method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113970627B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114623872A (en) * | 2022-03-08 | 2022-06-14 | 内蒙古金原农牧科技有限公司 | Underground water dynamic monitoring system based on strong magnetic wireless transmission |
| CN115541838A (en) * | 2022-10-19 | 2022-12-30 | 贵州凯环环境检测技术有限公司 | Peripheral area water quality monitoring system of refuse treatment plant |
| CN116182949A (en) * | 2023-02-23 | 2023-05-30 | 中国人民解放军91977部队 | Marine environment water quality monitoring system and method |
| CN117630319A (en) * | 2024-01-26 | 2024-03-01 | 深圳市天地互通科技有限公司 | Big data-based water quality monitoring and early warning method and system |
| CN116359456B (en) * | 2023-01-15 | 2024-05-31 | 寿县国祯水处理有限公司 | Water quality dynamic monitoring and early warning method and system based on integration of station network |
| CN118762289A (en) * | 2024-09-09 | 2024-10-11 | 杭州鸿森林业调查规划设计有限公司 | An ecological environment monitoring feedback system |
| CN118939343A (en) * | 2024-10-14 | 2024-11-12 | 重庆华悦生态环境工程研究院有限公司深圳分公司 | Method and device for loading map information of watershed |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080178663A1 (en) * | 2007-01-31 | 2008-07-31 | Yingping Jeffrey Yang | Adaptive real-time contaminant detection and early warning for drinking water distribution systems |
| CN103018418A (en) * | 2012-12-16 | 2013-04-03 | 天津大学 | Landscape water quality online early warning system |
| CN104392100A (en) * | 2014-10-29 | 2015-03-04 | 南京南瑞集团公司 | Pollution source diffusion early-warning method based on water quality on-line monitoring system |
| CN107403034A (en) * | 2017-06-28 | 2017-11-28 | 西交利物浦大学 | Water pollution spreads early warning method for visualizing |
| CN109270237A (en) * | 2018-11-27 | 2019-01-25 | 广州市怡纯净水科技有限公司 | A kind of Monitoring And Analysis of The Quality system based on big data |
| CN109523144A (en) * | 2018-10-25 | 2019-03-26 | 国科创（北京）信息技术有限公司 | A kind of basin water environment business operation management system and method |
-
2021
- 2021-10-22 CN CN202111231846.2A patent/CN113970627B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080178663A1 (en) * | 2007-01-31 | 2008-07-31 | Yingping Jeffrey Yang | Adaptive real-time contaminant detection and early warning for drinking water distribution systems |
| CN103018418A (en) * | 2012-12-16 | 2013-04-03 | 天津大学 | Landscape water quality online early warning system |
| CN104392100A (en) * | 2014-10-29 | 2015-03-04 | 南京南瑞集团公司 | Pollution source diffusion early-warning method based on water quality on-line monitoring system |
| CN107403034A (en) * | 2017-06-28 | 2017-11-28 | 西交利物浦大学 | Water pollution spreads early warning method for visualizing |
| CN109523144A (en) * | 2018-10-25 | 2019-03-26 | 国科创（北京）信息技术有限公司 | A kind of basin water environment business operation management system and method |
| CN109270237A (en) * | 2018-11-27 | 2019-01-25 | 广州市怡纯净水科技有限公司 | A kind of Monitoring And Analysis of The Quality system based on big data |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114623872A (en) * | 2022-03-08 | 2022-06-14 | 内蒙古金原农牧科技有限公司 | Underground water dynamic monitoring system based on strong magnetic wireless transmission |
| CN115541838A (en) * | 2022-10-19 | 2022-12-30 | 贵州凯环环境检测技术有限公司 | Peripheral area water quality monitoring system of refuse treatment plant |
| CN116359456B (en) * | 2023-01-15 | 2024-05-31 | 寿县国祯水处理有限公司 | Water quality dynamic monitoring and early warning method and system based on integration of station network |
| CN116182949A (en) * | 2023-02-23 | 2023-05-30 | 中国人民解放军91977部队 | Marine environment water quality monitoring system and method |
| CN116182949B (en) * | 2023-02-23 | 2024-03-19 | 中国人民解放军91977部队 | Marine environment water quality monitoring system and method |
| CN117630319A (en) * | 2024-01-26 | 2024-03-01 | 深圳市天地互通科技有限公司 | Big data-based water quality monitoring and early warning method and system |
| CN117630319B (en) * | 2024-01-26 | 2024-04-05 | 深圳市天地互通科技有限公司 | Big data-based water quality monitoring and early warning method and system |
| CN118762289A (en) * | 2024-09-09 | 2024-10-11 | 杭州鸿森林业调查规划设计有限公司 | An ecological environment monitoring feedback system |
| CN118939343A (en) * | 2024-10-14 | 2024-11-12 | 重庆华悦生态环境工程研究院有限公司深圳分公司 | Method and device for loading map information of watershed |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113970627B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113970627B (en) | Water quality monitoring and early warning method and system | |
| CN112085241B (en) | Environmental big data analysis and decision platform based on machine learning | |
| CN110956783B (en) | Urban waterlogging monitoring method and electronic equipment | |
| CN205028126U (en) | Water supply network intelligent monitoring system based on GIS | |
| CN115393142A (en) | Intelligent park management method and management platform | |
| CN103063255B (en) | A kind of communication tower monitoring method and system thereof | |
| CN103186134A (en) | Circulating water intelligent monitoring system based on Internet of things | |
| CN110535845A (en) | A kind of GROUP OF HYDROPOWER STATIONS remote date transmission method, system, terminal and storage medium based on Internet of Things | |
| CN108776465A (en) | Ground water quality monitoring system based on Internet of Things and main system | |
| CN103546536A (en) | Internet of things system of sewage treatment plant | |
| CN103489053A (en) | Intelligent water resource control platform based on cloud computing and expert system | |
| CN103247151A (en) | Geological disaster monitoring system | |
| CN106871956A (en) | Monitoring water quality on line system and method based on Internet of Things | |
| CN104331833B (en) | Environment risk source method for early warning | |
| CN116539829A (en) | Water quality monitoring sensing analysis method | |
| CN111121874A (en) | Water quality monitoring and evaluating system and method for water source area | |
| CN110836683A (en) | River channel management method, river channel management device and terminal | |
| CN201741234U (en) | Urban fire remote monitoring and management system | |
| CN206038668U (en) | Real -time on -line monitoring of quality of water and teletransmission processing system | |
| CN115964757A (en) | Drainage basin environment monitoring and disposal method and device based on block chain | |
| CN117875860A (en) | A smart supervision platform for river basin water environment management | |
| CN118917673B (en) | An intelligent monitoring system based on big data analysis of grassroots smart governance | |
| CN212647305U (en) | On-line monitoring system for whole process of producing, treating and discharging sewage | |
| CN215340800U (en) | Basin management system | |
| CN114646735A (en) | Carbon dioxide concentration monitoring system in air |
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 |