Water environment big data monitoring system and method

A monitoring system and big data technology, applied in database management systems, data processing applications, structured data retrieval, etc., to achieve the effect of improving the level of intelligent supervision, scientific and decision-making support capabilities

Active Publication Date: 2021-08-13
重庆市生态环境大数据应用中心
View PDF14 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a water environment big data monitoring system, which solves the technical problem that the existing methods and technologies cannot efficiently, quickly and accurately monitor and manage watersheds intelligently

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Water environment big data monitoring system and method
  • Water environment big data monitoring system and method
  • Water environment big data monitoring system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] A water environment big data monitoring system of the present invention is attached figure 1 shown, including:

[0039] The ecological environment monitoring network is used to monitor the ecological environment in real time and obtain ecological environment data;

[0040] The big data cloud platform for ecological environment protection is used to establish a big data center for ecological environment protection using data sharing and exchange algorithms based on ecological environment data;

[0041] The big data application platform is used to analyze ecological environment data using multi-dimensional spatio-temporal big data analysis algorithms.

[0042] In this embodiment, the ecological environment monitoring network is used to monitor water environment quality data, air environment quality data, pollution sources, and risk sources; the ecological environment protection big data center established by the ecological environment protection big data cloud platform i...

Embodiment 2

[0054] The only difference from Example 1 is that

[0055] In this example, aiming at the problem that the pressure source of the river has its own complex environment, many affected factors, and it is difficult to accurately construct a fitting model, an adaptive pressure source and water quality relationship model based on deep learning is studied, and a dynamic weight relationship is constructed. Adapt to calculate the importance of pressure sources such as upstream water supply, land development, industrialization and urbanization. In addition, the model can abstract the relationship between pressure sources and water quality in the demonstration basin in the big data platform, so as to obtain an accurate reference model that can describe the relationship between pressure sources and water quality in other rivers, and build a water body response model and index system , and the generalized model is used in the city's rivers, providing a big data theoretical basis for the t...

Embodiment 3

[0070] The only difference from Embodiment 2 is that it also includes a collection device, such as the attached figure 2 As shown, the collection device includes: a first pole 1, a second pole 2, a rotating rod 3, a pin 4, a spring 5, a tension sensor 6, a controller 7, a water quality detector 8, a filter plate 9, and a housing 10 . The housing 10 is cylindrical, and the left and right ends of the housing 10 are equipped with filter plates 9, for example, by screws; the filter plates 9 are drilled with a plurality of filter holes. One end of the first strut 1 is welded on the inner wall of the housing 10, and the controller 7 and the water quality detector 8 are fixedly installed on the other end of the first strut 1, for example, by screws or by steel wires. One end of the second pole 2 is welded on the inner wall of the housing 10 , and the other end is hinged with the rotating rod 3 , that is, hinged through the pin 4 , and the rotating rod 3 can rotate freely around the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention relates to the technical field of water resource monitoring, in particular to a water environment big data monitoring system, comprising: an ecological environment monitoring network for real-time monitoring of the ecological environment and obtaining ecological environment data; a big data cloud platform for ecological environment protection, It is used to establish a big data center for ecological environment protection by using data sharing and exchange algorithms based on ecological environment data; the big data application platform is used to analyze ecological environment data by using multi-dimensional spatiotemporal big data analysis algorithms. The invention comprehensively collects ecological environment protection data, dynamically studies and judges the environmental situation, predicts environmental quality, intelligently perceives environmental problems, and traces the causes of pollution through mathematical algorithms. It can effectively recommend control measures, improve the level of intelligent supervision of the ecological environment, and solve the existing problems Methods and technologies cannot efficiently, quickly and accurately conduct intelligent monitoring and management of watersheds.

Description

technical field [0001] The invention relates to the technical field of water resources monitoring, in particular to a water environment big data monitoring system and method. Background technique [0002] At present, the problem of water resource pollution is becoming more and more serious. To repair the polluted water body requires a large economic investment, high technical difficulty, and a long time period. Therefore, the task of water resources monitoring is very heavy. In order to meet the needs of water resources management and protection, it is urgent to improve the automation, intelligence and modernization of water resources monitoring technology. [0003] In this regard, Chinese patent CN108346004A discloses a water resource monitoring and analysis system based on big data, including a big data processing center, a big data storage center, communication equipment, a water supply control center, metering equipment, detection data collection, real-time forecasting u...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/25G06Q10/06G06Q50/06G01D21/02
CPCG01D21/02G06Q10/0635G06Q10/06393G06Q50/06G06F16/252
Inventor 刘明君刘海涵余游刘晓刘建林米雪晶耿京保
Owner 重庆市生态环境大数据应用中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap