CN110749712A - GIS drinking water source environment monitoring information data analysis and processing system - Google Patents

GIS drinking water source environment monitoring information data analysis and processing system Download PDF

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CN110749712A
CN110749712A CN201911030114.XA CN201911030114A CN110749712A CN 110749712 A CN110749712 A CN 110749712A CN 201911030114 A CN201911030114 A CN 201911030114A CN 110749712 A CN110749712 A CN 110749712A
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data
water
module
monitoring
water quality
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倪家明
胡云华
赵立
张颖
程志巧
罗秀
任亚琦
李强林
冯思文
董娇娇
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Chengdu Technological University CDTU
Chengdu Univeristy of Technology
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    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • G01N33/18Water
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00Water conservation; Efficient water supply; Efficient water use
    • Y02A20/20Controlling water pollution; Waste water treatment

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Abstract

The invention provides a GIS drinking water source environment monitoring information data analysis and processing system, which manages a drinking water source environment through monitoring, acquisition, transmission, analysis processing, evaluation and prediction methods, and specifically comprises a data monitoring module A101, a data acquisition module A102, a data transmission module A103, a data analysis and processing module A104, a data evaluation module A105 and a prediction module A106. The technical scheme of the invention fully realizes technical intercommunication of the drain port monitoring data, the water level monitoring data and the water quality monitoring data of the water source environment to be detected, and realizes sharing of integrated data; the water pollution distribution of the water quality is displayed or predicted according to a preset big data water quality model, meanwhile, early warning is carried out on the area where the water pollution exceeds a certain threshold value, the development trend and the cause of the water pollution are judged according to the pollution indexes of various data, and very accurate data support is provided for water environment management.

Description

GIS drinking water source environment monitoring information data analysis and processing system
Technical Field
The invention relates to the technical field of water conservancy environment dynamic monitoring, in particular to a drinking water source environment monitoring information data analysis and processing system of a GIS.
Background
At present, a plurality of problems are faced by a supervision department in the method and the technology of water environment management. Firstly, the management method is backward, data statistics are summarized in a traditional manual mode, and the workload is heavy and the difficulty is high; the existing information management system has single function and cannot fully cover all aspects of water environment management; the management involves many departments, the range is large, data among all the departments cannot be shared, and the information integrity and the real-time performance are not strong.
In order to better develop the water environment management work, a supervision department utilizes the thinking of 'internet +', utilizes an informatization technology and constructs a comprehensive information management system. The system is based on big data, realizes sharing and integration of data information to the greatest extent, constructs functional modules such as basic information query, environmental monitoring data query, data statistics, decision analysis and the like, and provides scientific basis and guarantee for water environment management.
The existing water environment management technical scheme is mainly a comprehensive management solution for river growth business, and mainly relates to subsystems such as a water conservancy geographic information system, a remote sensing data analysis system, a video monitoring system, a gridding government affair management system, a water administration law enforcement management system and the like. The subsystems are relatively independent, and data integration and application cannot be well performed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a GIS drinking water source environment monitoring information data analysis and processing system, which is used for solving the problems in the prior art.
According to one aspect of the invention, a drinking water source environment monitoring information data analysis processing system of a GIS manages drinking water source environment through monitoring, collecting, transmitting, analyzing, processing, evaluating and predicting methods, and specifically comprises a data monitoring module, a data collecting module, a data transmitting module, a data analysis processing module, a data evaluating module and a predicting module:
the data monitoring module is used for monitoring the water source environment to be detected through a preset sensor unit, an unmanned aerial vehicle unit and a GIS unit;
the data acquisition module is used for acquiring drainage monitoring data, water level monitoring data and water quality monitoring data of a water source environment to be detected through the sensor unit, monitoring illegal operation data in the water source environment area to be detected through the unmanned aerial vehicle unit, and acquiring and storing auxiliary data through the GIS unit;
the data transmission module is used for carrying out data interaction through a communication protocol and is connected with the server through a network port of a preset communication protocol so as to monitor the acquired data by the server;
the data analysis processing module is used for classifying, sorting and screening the acquired data to acquire the classified data
The data evaluation module is used for evaluating the classified data one by one through a single factor evaluation method so as to obtain the pollution data of various data;
the prediction module is used for displaying or predicting the pollution distribution of water quality according to a preset big data water quality model, simultaneously carrying out early warning on a region with water pollution exceeding a certain threshold value, and judging the development trend and the cause of the water pollution according to the pollution indexes of various data.
Further, the sensor unit comprises a water quality sensor and a site sensor, wherein the water quality sensor and the site sensor are arranged at a plurality of monitoring points in the water area to be detected so as to monitor each monitoring point.
Further, the water quality monitoring data comprises chlorophyll a data, turbidity data, water body heavy metal concentration data, conductivity data and organic pesticide data.
Further, the auxiliary data includes three factor data of driving force, state and response; the driving force in the auxiliary data comprises the urbanization level, the per capita GDP, the third industrial ratio and the fishery industrial ratio, the state comprises surface water resources, the water area ratio, the surface water function and the uniformity index, and the response comprises the environmental input GDP proportion, the garbage harmlessness, the sewage centralized treatment and the water area protection rate.
Further, the data evaluation module evaluates the classified data one by one through a single factor evaluation method, specifically:
according to the water quality standard, evaluating by using an index evaluation standard to obtain an evaluation result;
and (4) comparing the water quality evaluation result with a water quality target by using a single-factor evaluation method according to the water quality standard, and judging whether the water quality of the water functional area reaches the standard or not.
Further, the prediction module displays or predicts the pollution distribution of the water quality according to a preset big data water quality model, and the prediction module is used for:
hydrologic flow direction analysis is carried out on the processed data and the corresponding acquired data through DEM data in the GIS unit to obtain division rules of the drainage basins, different drainage basin blocks are separately simulated in distributed parallel computation, and water pollution distribution in a simulation area is obtained through computation.
Further, the prediction module comprises a big data water quality prediction model; the big data water quality prediction model refers to a water quality prediction model base which integrates a large amount of data and operates water quality prediction according to the large amount of data.
Further, the system also comprises a water resource quality information sharing service platform for displaying various data information;
the water resource quality information sharing service platform is used for realizing the functions of remote control, data interconnection and access, technical support, personnel allocation, information display and storage.
Further, a computer program is also included;
and the computer program is used for realizing the function of the water resource quality information sharing service platform on the graph.
Further, a computer-readable storage medium is also included;
the computer-readable storage medium includes instructions that, when executed on a computer, cause the computer to perform the functions of the water resource quality information sharing service platform as described above. Compared with the prior art, the invention has the beneficial effects that:
1. the technical scheme of the invention fully realizes technical intercommunication of the drain port monitoring data, the water level monitoring data and the water quality monitoring data of the water source environment to be detected, and realizes sharing of integrated data; (ii) a
2. The water pollution distribution of the water quality is displayed or predicted according to a preset big data water quality model, meanwhile, early warning is carried out on the area where the water pollution exceeds a certain threshold value, the development trend and the cause of the water pollution are judged according to the pollution indexes of various data, and very accurate data support is provided for water environment management. .
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic block diagram of a configuration of a drinking water source environment monitoring information data analysis and processing system of a GIS in an embodiment of the present invention;
fig. 2 is a schematic block diagram of a computer apparatus in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and are not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Example one
As shown in fig. 1, the drinking water source environment monitoring information data analysis and processing system of a GIS according to an embodiment of the present invention manages a drinking water source environment by monitoring, acquiring, transmitting, analyzing, processing, evaluating, and predicting methods, and specifically includes a data monitoring module a101, a data acquisition module a102, a data transmission module a103, a data analysis and processing module a104, a data evaluation module a105, and a prediction module a 106:
the data monitoring module A101 is used for monitoring the water source environment to be detected through a preset sensor unit, an unmanned aerial vehicle unit and a GIS unit;
the data acquisition module A102 is used for acquiring drainage monitoring data, water level monitoring data and water quality monitoring data of a water source environment to be detected through the sensor unit, monitoring illegal operation data in the water source environment area to be detected through the unmanned aerial vehicle unit, and acquiring and storing auxiliary data through the GIS unit;
the sensor unit comprises a water quality sensor and a site sensor, wherein the water quality sensor and the site sensor are arranged at a plurality of monitoring points in a water area to be detected so as to monitor each monitoring point.
The water quality monitoring data comprises chlorophyll a data, turbidity data, water body heavy metal concentration data, conductivity data and organic pesticide data.
The GIS unit also has the function of carrying out vector expression and visualization on the stored data and can display water quality map information.
The auxiliary data comprises three factor data of driving force, state and response; the driving force in the auxiliary data includes urbanization level, per capita GDP, third industry ratio and fishery industry ratio, the state includes surface water resource, water area ratio, surface water function and uniformity index, and the response includes environmental input GDP proportion, garbage harmlessness, sewage centralized treatment and water area protection rate.
The data transmission module A103 is used for carrying out data interaction through a communication protocol and is connected with the server through a network port of a preset communication protocol so as to monitor the acquired data by the server;
each module of the system is coupled by adopting a configuration \ interface mode, and some components can be very conveniently disassembled or assembled to complete certain functions. And other systems can smoothly access the system as long as the system can meet the interface standard. Such as: the communication assembly adopts a standardized communication protocol, and can be in butt joint with a system to complete data sharing as long as other platforms meeting the protocol are adopted.
The specific application of the communication protocol is as follows:
through Modbus communication protocol data interaction, based on a TCP/IP protocol, through GPRS and network card transmission, a server side monitors and acquires acquired data at a network port through SOCKET communication; the transmission can be carried out through a 4G network, a broadband network and an environment-friendly private network.
A data analysis processing module A104 for classifying, sorting and screening the collected data to obtain the classified data
The data evaluation module A105 is used for evaluating the classified data one by one through a single factor evaluation method so as to obtain the pollution data of various data;
the data evaluation module a105 evaluates the classified data one by one through a single factor evaluation method, specifically:
according to the water quality standard, evaluating by using an index evaluation standard to obtain an evaluation result;
and (4) comparing the water quality evaluation result with a water quality target by using a single-factor evaluation method according to the water quality standard, and judging whether the water quality of the water functional area reaches the standard or not.
And the prediction module A106 is used for displaying or predicting the pollution distribution of the water quality according to a preset big data water quality model, early warning a region with water pollution exceeding a certain threshold value, and judging the development trend and the cause of the water pollution according to the pollution indexes of various data.
The prediction module a106 displays or predicts the pollution distribution of the water quality according to a preset big data water quality model, which means that:
hydrologic flow direction analysis is carried out on the processed data and the corresponding acquired data through DEM data in the GIS unit to obtain division rules of the drainage basins, different drainage basin blocks are separately simulated in distributed parallel computation, and water pollution distribution in a simulation area is obtained through computation.
The prediction module A106 comprises a big data water quality prediction model; the big data water quality prediction model refers to a water quality prediction model base which integrates a large amount of data and operates water quality prediction according to the large amount of data. The big data water quality prediction model comprises a large number of configurable parameters in consideration of universality, and for each basin, most of requirements can be met by changing each parameter through a panel, so that the big data water quality prediction model has universality.
The big data water quality prediction model consists of a basic database, a dynamic database, an attribute database and a spatial database; the basic database comprises an environment basic information database, an organization system information database, a system information database, a first river first-grade information database and a monitoring station information database; the dynamic database comprises a working process information database, a spot check supervision information database, an examination evaluation information database, a monitoring data information database, an application push information database and a department sharing information database; the attribute database comprises an object database, an object basic database, a main service database, an object relation database and a metadata database; the spatial database comprises a remote sensing image database, a basic geographic database, an object spatial database, a special topic database and a service sharing database. Heterogeneous data exchange requires two major functions, data extraction and conversion. The following four steps are mainly required for completing heterogeneous data exchange: 1. connecting heterogeneous data sources; 2. setting an extraction rule; 3. data cleaning; 4. and (5) making a conversion rule.
Each module of the system is coupled by adopting a configuration \ interface mode, and some components can be very conveniently disassembled or assembled to complete certain functions. And other systems can smoothly access the system as long as the system can meet the interface standard. Such as: the communication assembly adopts a standardized communication protocol, and can be in butt joint with a system to complete data sharing as long as other platforms meeting the protocol are adopted.
In other embodiments, the system for analyzing and processing the drinking water source environment monitoring information data of the GIS further comprises the following modules:
1. displaying the water resource quality information sharing service platform of various data information;
the water resource quality information sharing service platform is used for unifying user access entries and integrating, integrating and displaying various information and interaction functions; the task management and the display and flexible customization of the functions required by each post can adapt to the change of the post or an organization structure, and realize the functions of remote control, data interconnection and access, technical support, personnel allocation, information display and storage.
2. A computer program;
and the computer program is used for realizing the function of the water resource quality information sharing service platform.
The water resource quality information sharing service platform may be implemented in the form of a computer program that may run on a computer device as shown in fig. 2.
Referring to fig. 2, fig. 2 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a terminal or a server, where the terminal may be an electronic device with a communication function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device. The server may be an independent server or a server cluster composed of a plurality of servers.
Referring to fig. 2, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer programs 5032 comprise program instructions for execution to cause the processor 502 to perform the associated methods.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of the computer program 5032 in the non-volatile storage medium 503, and the computer program 5032, when executed by the processor 502, may cause the processor 502 to perform related methods.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the configuration shown in fig. 2 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation of the computer device 500 to which the present application may be applied, and that a particular computer device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
Wherein the processor 502 is configured to run a computer program 5032 stored in the memory,
it should be understood that, in the embodiment of the present Application, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be understood by those skilled in the art that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program instructing associated hardware. The computer program includes program instructions, and the computer program may be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
3. A computer-readable storage medium;
a computer-readable storage medium is included that includes instructions which, when executed on a computer, cause the computer to perform the functions of the water resource quality information sharing service platform.
The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, which can store various computer readable storage media.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of each module is only one logic function division, and there may be another division manner in actual implementation. For example, multiple modules or units may be combined or may be integrated into another system, or some features may be omitted, or not implemented.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be merged, divided and deleted according to actual needs. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. The utility model provides a GIS's drinking water source environmental monitoring information data analysis processing system which characterized in that, manages the drinking water source environment through monitoring, collection, transmission, analysis processing, evaluation and prediction method, specifically includes data monitoring module, data acquisition module, data transmission module, data analysis processing module, data evaluation module and prediction module:
the data monitoring module is used for monitoring the water source environment to be detected through a preset sensor unit, an unmanned aerial vehicle unit and a GIS unit;
the data acquisition module is used for acquiring drainage monitoring data, water level monitoring data and water quality monitoring data of a water source environment to be detected through the sensor unit, monitoring illegal operation data in the water source environment area to be detected through the unmanned aerial vehicle unit, and acquiring and storing auxiliary data through the GIS unit;
the data transmission module is used for carrying out data interaction through a communication protocol and is connected with the server through a network port of a preset communication protocol so as to monitor the acquired data by the server;
the data analysis processing module is used for classifying, sorting and screening the acquired data to acquire the classified data
The data evaluation module is used for evaluating the classified data one by one through a single factor evaluation method so as to obtain the pollution data of various data;
the prediction module is used for displaying or predicting the pollution distribution of water quality according to a preset big data water quality model, simultaneously carrying out early warning on a region with water pollution exceeding a certain threshold value, and judging the development trend and the cause of the water pollution according to the pollution indexes of various data.
2. The system of claim 1, wherein the sensor unit comprises a water quality sensor and a site sensor, which are provided at a plurality of monitoring points in the water area to be measured to monitor the respective monitoring points.
3. The system of claim 2, wherein the water quality monitoring data comprises chlorophyll a data, turbidity data, water body heavy metal concentration data, conductivity data, organic pesticide data.
4. The system of claim 3, wherein the auxiliary data includes driving force, status and response data; the driving force in the auxiliary data comprises the urbanization level, the per capita GDP, the third industrial ratio and the fishery industrial ratio, the state comprises surface water resources, the water area ratio, the surface water function and the uniformity index, and the response comprises the environmental input GDP proportion, the garbage harmlessness, the sewage centralized treatment and the water area protection rate.
5. The system according to claim 4, wherein the data evaluation module evaluates the classified data one by a single factor evaluation method, specifically:
according to the water quality standard, evaluating by using an index evaluation standard to obtain an evaluation result;
and (4) comparing the water quality evaluation result with a water quality target by using a single-factor evaluation method according to the water quality standard, and judging whether the water quality of the water functional area reaches the standard or not.
6. The system of claim 5, wherein the prediction module displays or predicts the pollution distribution of the water quality according to a preset big data water quality model, and the prediction module is used for:
hydrologic flow direction analysis is carried out on the processed data and the corresponding acquired data through DEM data in the GIS unit to obtain division rules of the drainage basins, different drainage basin blocks are separately simulated in distributed parallel computation, and water pollution distribution in a simulation area is obtained through computation.
7. The system of claim 6, wherein the prediction module comprises a big data water quality prediction model; the big data water quality prediction model refers to a water quality prediction model base which integrates a large amount of data and operates water quality prediction according to the large amount of data.
8. The system according to any one of claims 1 to 7, further comprising a water resource quality information sharing service platform for displaying various types of data information;
the water resource quality information sharing service platform is used for realizing the functions of remote control, data interconnection and access, technical support, personnel allocation, information display and storage.
9. The system of claim 8, further comprising a computer program;
the computer program is used for realizing the function of the water resource quality information sharing service platform in claim 8.
10. The system of claim 8, further comprising a computer-readable storage medium;
the computer-readable storage medium includes instructions that, when executed on a computer, cause the computer to perform the functions of the water resource quality information sharing service platform as claimed in claim 8.
CN201911030114.XA 2019-10-28 2019-10-28 GIS drinking water source environment monitoring information data analysis and processing system Pending CN110749712A (en)

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CN111807615A (en) * 2020-07-02 2020-10-23 武汉佳园环境工程有限公司 Nitrogen and phosphorus interception and purification system for farmland surface runoff
CN112101794A (en) * 2020-09-17 2020-12-18 北京慧怡科技有限责任公司 Intelligent water network remote management method and device
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CN112785126A (en) * 2021-01-06 2021-05-11 济南市疾病预防控制中心 Teaching environment monitoring information system and method
CN112966969A (en) * 2021-03-29 2021-06-15 武汉神州地理软件开发有限公司 Water quality monitoring and evaluation information service system
CN113051323A (en) * 2021-03-11 2021-06-29 江苏省生态环境监控中心(江苏省环境信息中心) Water environment big data exchange method
CN113610381A (en) * 2021-08-02 2021-11-05 江苏云聚汇科技有限公司 Water quality remote real-time monitoring system based on 5G network
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