CN105651336A - Pollution source dynamic data monitoring system and method - Google Patents
Pollution source dynamic data monitoring system and method Download PDFInfo
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- CN105651336A CN105651336A CN201610047117.4A CN201610047117A CN105651336A CN 105651336 A CN105651336 A CN 105651336A CN 201610047117 A CN201610047117 A CN 201610047117A CN 105651336 A CN105651336 A CN 105651336A
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Abstract
The invention discloses a pollution source dynamic data monitoring system and method. The monitoring system comprises a pollution source data generation sub-system, a pollution source data management sub-system, a water quality dynamic big data monitoring model and a user terminal, wherein the output end of the pollution source data generation sub-system is connected with the input ends of the pollution source data management sub-system and the water quality dynamic big data monitoring model respectively; the input end of the user terminal is connected with the output ends of the pollution source data management sub-system and the water quality dynamic big data monitoring model respectively; and the output end of the user terminal performs data communication with the pollution source data generation sub-system through a wireless network. Through the system and method disclosed by the invention, the dynamic update condition of the pollution source data can be mastered and analyzed in real time; and meanwhile, a pollution source dynamic monitoring model in the area is established through system simulation, the pollution discharge and exceeding conditions of key pollution source enterprises are dynamically got, and dynamic analysis of the water environment quality of the area is realized to provide basis for the water quality planning and management.
Description
Technical field
The present invention relates to water quality monitoring technical field, relate in particular to a kind of pollution sources dynamic data monitoring system.
Background technology
Along with going from bad to worse and the day by day raising of people to water resource requirement of quality of water environment, the monitoring to water environment and prediction of quality obtain applying more and more widely in environmental protection work. At present, to water pollutant, the delta data on space-time only has after monitoring on the spot and simulating and obtains, because the Data Source of pollution sources integrated management is more extensive, data volume is also very large simultaneously, but collection, transmission, storage and application to these data relatively disperse, still pollution source management data can not be converted into available information resource fully and effectively. The most important thing is that some areas and unit are not enough to the requirement understanding of Information of the Environment, and do things in his own way, therefore caused the phenomenon of pollution sources data locking obturation, finally cause the appearance of " information island ".
Summary of the invention
The technical issues that need to address of the present invention are to provide a kind of pollution sources dynamic data monitoring system that can pollution sources data be dynamically updated in real time and be analyzed, for water quality planning and management provide basis.
For solving the problems of the technologies described above, the technical solution used in the present invention is as follows.
A kind of pollution sources dynamic data monitoring system, comprise that pollution sources data generate subsystem, pollution sources data administration subsystem, the dynamically large data monitoring model of water quality and user terminal, the output that described pollution sources data generate subsystem is connected with the input of pollution sources data administration subsystem and the dynamically large data monitoring model of water quality respectively, the input of user terminal is connected with the output of pollution sources data administration subsystem and the dynamically large data monitoring model of water quality respectively, the output of user terminal generates subsystem by wireless network and pollution sources data and carries out data communication.
Above-mentioned pollution sources dynamic data monitoring system, described pollution sources data generate subsystem and comprise sampling unit, module machine, multi-parameter detecting sensor and data acquisition and memory cell, the controlled end of described sampling unit connects user terminal, the output difference link block machine of sampling unit and the input of multi-parameter detecting sensor, the output connection data of module machine and multi-parameter detecting sensor gathers and memory cell; The input of the dynamically large data monitoring model of described pollution sources data administration subsystem and water quality is connected respectively pollution sources data and generates data acquisition and the memory cell of subsystem.
Above-mentioned pollution sources dynamic data monitoring system, the dynamically large data monitoring model of described pollution sources data administration subsystem and water quality operates in respectively on user terminal.
Above-mentioned pollution sources dynamic data monitoring system, described water quality dynamically large data monitoring model comprises in dynamic pipe network monitoring model, region drinking water Dynamic monitoring pattern in sewage draining exit Dynamic monitoring pattern and region.
A kind of pollution sources dynamic data method for supervising, specifically comprises the following steps:
A. user terminal generates subsystem to pollution sources data and sends control instruction, and the sampling unit that pollution sources data generate subsystem carries out water sampling;
B. sampling unit is transported to pollution sources data by the water sample of collection and generates in the module machine of subsystem, module machine by water sample is carried out to pretreatment, clear up, colorimetric realizes the mensuration to COD, ammonia nitrogen, total phosphorus, total nitrogen, heavy metal index in water; Meanwhile, the multi-parameter detecting sensor of pollution sources data generation subsystem realizes the mensuration to oxygen in water, water temperature, pH, electrical conductivity, turbidity and potassium permanganate salt index;
C. the data acquisition of pollution sources data generation subsystem and memory cell complete collection, analysis and the processing of the real time data that step B is obtained;
D. according to the result of step C, the dynamically large data monitoring model of combining geographic information system made water quality;
E. by water quality dynamically large data monitoring model running in user terminal, thereby obtain region presence of pollution sources multidate information, set up pollution sources spatial database, complete the generation of Pollution Source Monitoring point location, monitoring section atlas analysis and dynamic data;
F. at user terminal operation pollution sources data administration subsystem, disposal of pollutants data are carried out to inquiry and analysis, operating personnel and authority thereof are managed and safeguarded.
Above-mentioned pollution sources dynamic data method for supervising, the foundation of the dynamically large data monitoring model of water quality specifically comprises the following steps described in step D:
D1. combining geographic information system, drafts Water-quality Monitoring Points;
D2. in Water-quality Monitoring Points, carry out monitoring in continuous 24 hours;
D3. set up pollution sources Dynamic monitoring pattern according to 24 hours continuous monitored data;
D4. according to 24 hours measured datas, pollution sources Dynamic monitoring pattern is carried out to static calibration and dynamic calibration checking;
D5. determine the distribution of pollution sources;
D6. on the dynamic model basis after calibration, set up the dynamically large data monitoring model of water quality, carry out the monitoring of water quality dynamic data.
Owing to having adopted above technical scheme, the invention technological progress is as follows.
The present invention can grasp the situation that dynamically updates of pollution sources data in real time, and it is analyzed, set up region presence of pollution sources Dynamic monitoring pattern by system simulation simultaneously, dynamically grasp blowdown and the situation that exceeds standard of major polluting sources enterprise, realize dynamic analysis to quality of the region's water, for water quality planning and management provide basis.
Brief description of the drawings
Fig. 1 is structured flowchart of the present invention;
Fig. 2 is the structured flowchart that pollution sources data of the present invention generate subsystem;
Fig. 3 is workflow diagram of the present invention.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is further elaborated.
A kind of pollution sources dynamic data monitoring system, its structure as shown in Figure 1, comprise that pollution sources data generate subsystem, pollution sources data administration subsystem, the dynamically large data monitoring model of water quality and user terminal, the output that described pollution sources data generate subsystem is connected with the input of pollution sources data administration subsystem and the dynamically large data monitoring model of water quality respectively, the input of user terminal is connected with the output of pollution sources data administration subsystem and the dynamically large data monitoring model of water quality respectively, the output of user terminal generates subsystem by wireless network and pollution sources data and carries out data communication.
It is a kind of miniature multi-parameter water quality automatic monitor station that pollution sources data generate subsystem, and its structure as shown in Figure 2, mainly comprises sampling unit, module machine, multi-parameter detecting sensor and data acquisition and memory cell. The controlled end of described sampling unit connects user terminal, for complete the collection of water sample under the instruction of user terminal; The output difference link block machine of sampling unit and the input of multi-parameter detecting sensor, module machine and multi-parameter detecting sensor are to the energy-saving multi parameter analysis of water sample gathering; The output of module machine and multi-parameter detecting sensor gathers and memory cell by data acquisition interface connection data, and data acquisition and memory cell gather and store water sample result.
Wherein, module machine comprises COD on-line monitoring instrument, ammonia nitrogen on-line monitoring instrument, total phosphorus on-line monitoring instrument, total nitrogen on-line monitoring instrument and heavy metal on-line monitoring instrument, can monitor the indexs such as COD, ammonia nitrogen, total phosphorus, total nitrogen, heavy metal; Certainly also can be according to the feature of on-the-spot water quality, by pretreatment, clear up, the science combination of measuring principle, change software and assembly and change detection index and the range of instrument, customize out and meet the monitoring water quality on line module machine that user requires. Multi-parameter detecting sensor comprises dissolved oxygen sensor, cooling-water temperature sensor, pH sensor, conductivity sensor, turbidity transducer and permanganate index sensor, can measure the parameters such as oxygen in water, water temperature, pH, electrical conductivity, turbidity, permanganate index; Multi-parameter detecting sensor also can, according to the demand of on-the-spot water quality monitoring, by gathering analog signal, be converted to data signal through A/D.
The input of pollution sources data administration subsystem is connected data acquisition and the memory cell of pollution sources data generation subsystem with wireless communication networks by data acquisition interface, generate for gathering pollution sources data the data that subsystem generates. Pollution sources data administration subsystem moves on user terminal, modules such as comprising data demonstration, data query, location, statistical analysis in real time, dynamically update, authority arranges,, can carry out inquiry and analysis, operating personnel and authority thereof to enterprise pollution emissions data and manage and safeguard by function setting at user terminal.
The input of the dynamically large data monitoring model of water quality connects data acquisition and the memory cell of pollution sources data generation subsystem by market demand interface GSI, generate by gathering pollution sources data the data that subsystem generates, combining geographic information system (GIS) is set up, and comprises in dynamic pipe network monitoring model, region in sewage draining exit Dynamic monitoring pattern, region drinking water Dynamic monitoring pattern etc. The dynamically large data monitoring model of water quality also moves on user terminal, can obtain at any time region presence of pollution sources multidate information, sets up pollution sources spatial database, completes the generation of Pollution Source Monitoring point location, monitoring section atlas analysis and dynamic data.
User terminal, comprise mobile terminal and computer terminal, monitored data in can Real-time Obtaining pollution sources data management system, browse and download real time data, observe water quality and water yield variation tendency, obtain complete record, realize the interconnectivity and sharing to resource environment dynamic monitoring information of government agencies at all levels and enterprise, water quality of river situation is carried out to remote monitoring. User terminal also generates subsystem by wireless communication networks Long-distance Control pollution sources data, can generate subsystem to pollution sources data as required, be that miniature multi-parameter water quality automatic monitor station carries out Long-distance Control, control object is work period, sample frequency, data output frequency, the warning of water quality unusual condition of instrument etc., thereby formulates rapidly and accurately solution targetedly.
A kind of pollution sources dynamic data method for supervising, its flow chart as shown in Figure 3, specifically comprises the following steps:
A. user terminal generates subsystem to pollution sources data and sends control instruction, and the sampling unit that pollution sources data generate subsystem carries out water sampling.
B. sampling unit is transported to pollution sources data by the water sample of collection and generates in the module machine of subsystem, module machine by water sample is carried out to pretreatment, clear up, colorimetric realizes the mensuration to indexs such as COD, ammonia nitrogen, total phosphorus, total nitrogen, heavy metals in water; Meanwhile, the multi-parameter detecting sensor of pollution sources data generation subsystem realizes the mensuration to oxygen in water, water temperature, pH, electrical conductivity, turbidity and potassium permanganate salt index.
C. the data acquisition of pollution sources data generation subsystem and memory cell complete collection, analysis and the processing of the real time data that step B is obtained.
D. according to the result of step C, the dynamically large data monitoring model of combining geographic information system made water quality. Water quality dynamically large data monitoring model comprises in dynamic pipe network monitoring model, region drinking water Dynamic monitoring pattern in sewage draining exit Dynamic monitoring pattern and region. As an example of sewage draining exit Dynamic monitoring pattern in region example, its process of establishing is described below.
D1. combining geographic information system, drafts river alongshore sewage draining exit as Water-quality Monitoring Points;
D2. in Water-quality Monitoring Points, carry out monitoring in continuous 24 hours, gather the data such as discharge load of this region internal contamination thing;
D3. set up the pollution sources Dynamic monitoring pattern of sewage draining exit in region according to 24 hours continuous monitored data;
D4. according to 24 hours measured datas, pollution sources Dynamic monitoring pattern is carried out to static calibration and dynamic calibration checking;
D5. determine the analysis of sewage draining exit in this region;
D6. on the dynamic model basis after calibration, set up the dynamically large data monitoring model of water quality; And carry out the dynamic data monitoring of water quality by the dynamically large data monitoring model of water quality, and calculate the capacity of river to various pollutants, make the regulations such as the corresponding annual emissions for industry, pollutant.
E. by water quality dynamically large data monitoring model running in user terminal, thereby obtain region presence of pollution sources multidate information, set up pollution sources spatial database, complete the generation of Pollution Source Monitoring point location, monitoring section atlas analysis and dynamic data.
F. at user terminal operation pollution sources data administration subsystem, disposal of pollutants data are carried out to inquiry and analysis, operating personnel and authority thereof are managed and safeguarded.
Claims (6)
1. a pollution sources dynamic data monitoring system, it is characterized in that: comprise that pollution sources data generate subsystem, pollution sources data administration subsystem, the dynamically large data monitoring model of water quality and user terminal, the output that described pollution sources data generate subsystem is connected with the input of pollution sources data administration subsystem and the dynamically large data monitoring model of water quality respectively, the input of user terminal is connected with the output of pollution sources data administration subsystem and the dynamically large data monitoring model of water quality respectively, the output of user terminal generates subsystem by wireless network and pollution sources data and carries out data communication.
2. a kind of pollution sources dynamic data monitoring system according to claim 1, it is characterized in that: described pollution sources data generate subsystem and comprise sampling unit, module machine, multi-parameter detecting sensor and data acquisition and memory cell, the controlled end of described sampling unit connects user terminal, the output difference link block machine of sampling unit and the input of multi-parameter detecting sensor, the output connection data of module machine and multi-parameter detecting sensor gathers and memory cell; The input of the dynamically large data monitoring model of described pollution sources data administration subsystem and water quality is connected respectively pollution sources data and generates data acquisition and the memory cell of subsystem.
3. a kind of pollution sources dynamic data monitoring system according to claim 1, is characterized in that: the dynamically large data monitoring model of described pollution sources data administration subsystem and water quality operates in respectively on user terminal.
4. a kind of pollution sources dynamic data monitoring system according to claim 1, is characterized in that: described water quality dynamically large data monitoring model comprises in dynamic pipe network monitoring model, region drinking water Dynamic monitoring pattern in sewage draining exit Dynamic monitoring pattern and region.
5. a pollution sources dynamic data method for supervising, is characterized in that, specifically comprises the following steps:
A. user terminal generates subsystem to pollution sources data and sends control instruction, and the sampling unit that pollution sources data generate subsystem carries out water sampling;
B. sampling unit is transported to pollution sources data by the water sample of collection and generates in the module machine of subsystem, module machine by water sample is carried out to pretreatment, clear up, colorimetric realizes the mensuration to COD, ammonia nitrogen, total phosphorus, total nitrogen, heavy metal index in water; Meanwhile, the multi-parameter detecting sensor of pollution sources data generation subsystem realizes the mensuration to oxygen in water, water temperature, pH, electrical conductivity, turbidity and potassium permanganate salt index;
C. the data acquisition of pollution sources data generation subsystem and memory cell complete collection, analysis and the processing of the real time data that step B is obtained;
D. according to the result of step C, the dynamically large data monitoring model of combining geographic information system made water quality;
E. by water quality dynamically large data monitoring model running in user terminal, thereby obtain region presence of pollution sources multidate information, set up pollution sources spatial database, complete the generation of Pollution Source Monitoring point location, monitoring section atlas analysis and dynamic data;
F. at user terminal operation pollution sources data administration subsystem, disposal of pollutants data are carried out to inquiry and analysis, operating personnel and authority thereof are managed and safeguarded.
6. a kind of pollution sources dynamic data method for supervising according to claim 5, is characterized in that, the foundation of the dynamically large data monitoring model of water quality specifically comprises the following steps described in step D:
D1. combining geographic information system, drafts Water-quality Monitoring Points;
D2. in Water-quality Monitoring Points, carry out monitoring in continuous 24 hours;
D3. set up pollution sources Dynamic monitoring pattern according to 24 hours continuous monitored data;
D4. according to 24 hours measured datas, pollution sources Dynamic monitoring pattern is carried out to static calibration and dynamic calibration checking;
D5. determine the distribution of pollution sources;
D6. on the dynamic model basis after calibration, set up the dynamically large data monitoring model of water quality and carry out the monitoring of water quality dynamic data.
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| CN107450427A (en) * | 2017-08-04 | 2017-12-08 | 南通汇聚软件科技有限公司 | The O＆M dynamic management-control method of pollution sources online monitoring system and its detection device |
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| CN110766328A (en) * | 2019-10-24 | 2020-02-07 | 中国环境科学研究院 | Pollution source pollution discharge permission monitoring method and system based on water quality reaching standard |
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| CN111912949A (en) * | 2020-08-10 | 2020-11-10 | 武汉巨正环保科技有限公司 | Water quality heavy metal pollution monitoring system |
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| CN113011903A (en) * | 2021-04-26 | 2021-06-22 | 成都环极科技有限公司 | Water pollution accurate tracing method based on GIS and hydraulic model |
| CN114199314A (en) * | 2021-12-25 | 2022-03-18 | 江西武大扬帆科技有限公司 | Hydrology monitoring feedback system based on 5G and big dipper technique |
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| CN116147697A (en) * | 2022-12-30 | 2023-05-23 | 中铝智能科技发展有限公司 | Unattended monitoring method and system for aluminum hydroxide |
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