Space-air-ground integrated monitoring refers to the use of aerial images, satellite images and other remote sensing technologies, combined with ground monitoring equipment and data, to achieve all-round, multi-scale, multi-source data acquisition and analysis of the earth's surface.
Through the integration of different sensors and data sources, air-space-ground integrated monitoring can provide high-resolution and wide-coverage environmental information for water resources management, water quality monitoring, flood risk assessment, etc.
The development of this technology can provide more comprehensive, accurate and efficient monitoring and analysis capabilities, which will help us better understand and manage the Earth's environment.
The sky in the smart water conservancy scenarioEarth.
The goal of smart water conservancy is to realize the sustainable use of water resources, the protection and improvement of the water environment, the reduction of flood risks, and the efficient operation and management of water conservancy projects. It can provide decision support system, water resources dispatching system, water environment monitoring system, flood early warning system, etc., to help water conservancy departments and decision-makers better understand and manage water resources, and improve the efficiency of water conservancy projects and the quality of water environment.
The sensors of the empty space and the ground of smart water conservancy are:
1.Aerial photography sensor: Through the aerial photography sensor carried by the drone, the aerial impact data with high resolution can be obtained for the monitoring and analysis of water areas and water resources;
2.Satellite remote sensing sensors: Satellite remote sensing sensors with high-resolution image collection capabilities are used to obtain large-scale, regular, and global monitoring and analysis of water areas and water environments;
3.Water quality sensors: Water quality sensors arranged on the ground or underwater are used to monitor key water quality indicators such as pH, dissolved oxygen, turbidity, temperature, ammonia nitrogen, etc.
4.Water level sensor: It is used to measure the water level changes of rivers, lakes, reservoirs and other water bodies to monitor the water level in real time for flood warning and water resource management.
5.Rainfall sensor: It is used to measure rainfall and provide rainfall data, which is used for flood early warning, hydrological modeling, etc.
6.Ground monitoring equipment: including flow measurement stations, water quality monitoring stations, hydrological stations and other ground equipment, which are used to monitor river flow, water quality indicators, hydrological data, etc.
The sky in the smart water scenarioSmart water refers to the concept and practice of using modern information technology, Internet of Things technology, big data analysis and other means to intelligently manage and optimize the water system.
In smart water, an intelligent water management system can be applied to realize functions such as water metering, remote monitoring, and intelligent water management. At the same time, through data analysis and advanced models, it can provide decision support systems, water resources dispatching systems, water quality monitoring and early warning systems and other applications, and provide accurate data and decision-making basis for water affairs departments and decision-makers.
The goal of smart water is to improve the efficiency and quality of water utilities, reduce resource waste, environmental pollution and flood risks, and achieve sustainable water management and development. It is of great significance for improving the efficiency of water resource utilization, protecting the water environment, and improving the quality of water services.
1.Aerial image sensor: Aerial image sensor mounted on aircraft or UAV can obtain high-resolution aerial imagery for the monitoring of water and water resources, and the analysis of water changes.
2.Satellite remote sensing sensors: The remote sensing sensors carried by satellites are used to obtain large-scale and global coverage of water and water resources data, including water distribution, water quality, water level and other information.
3.Water quality sensor: A water quality sensor arranged on the ground or underwater, which is used to monitor the water quality indicators of the water body in real time, such as dissolved oxygen, ammonia nitrogen, turbidity, pH value, etc.
4.Water level sensor: It is used to measure the water level changes of rivers, lakes, reservoirs and other water bodies to monitor water level information in real time and provide flood early warning and data for hydrological model establishment.
5.Rainfall sensor: It is used to measure rainfall and provide rainfall data, which can be used for flood warning, hydrological modeling, etc.
Water Pressure Sensor:It is used to monitor the water pressure changes of the water supply network and grasp the operation status and water consumption of the water supply system in real time.
Water Flow Rate Sensor:It is used to measure the flow rate and flow of water bodies, help monitor the use of water resources and changes in water levels, etc.
Sewage flow sensors: It is used to measure the flow rate in the sewage pipeline in real time, help grasp the sewage discharge, and provide data support for sewage treatment and management.
What is the difference between smart water and smart water conservancy?
The difference between smart water conservancy and smart water scenarios
Smart water conservancy and smart water have a certain relationship, but the objects are a little different:
Definition and Scope:Smart water conservancy focuses on the optimization and intelligent management of the entire water conservancy system, involving water resources management, water environmental protection, flood risk management and other fields. It is mainly concerned with the sustainable use of water resources and the efficient operation of hydraulic projects.
Objectives and Focus:Smart water focuses more on the intelligent management and optimization of the water system, including water supply, drainage, sewage treatment, etc. It focuses on the monitoring and management of water quality, the improvement of water use efficiency, and the improvement of water service quality.
Scope and Applications:The scope of smart water conservancy is broader, including water resource dispatch, water conservancy project management, flood risk management, etc. Smart water, on the other hand, focuses more on the intelligent management of urban and community water systems, including water metering, remote monitoring, and intelligent water management.
Techniques and means:Both smart water conservancy and smart water rely on modern information technology, Internet of Things technology, big data analysis and other means, but they may differ in specific application scenarios and technical implementation.
In the integration of space, ground and air, smart water conservancy pays more attention to the application of remote sensing technology, geographic information system and other technologies, while smart water affairs pays more attention to the application of sensor technology, smart water meter and other technologies.
There are some challenges and difficulties in the practice of space-air-ground integrated monitoring, including:
The integration and fusion of data involves the calibration, registration, and unified processing of different data sources.
Efficient data processing and analysis, which includes technical challenges in image processing, data mining, spatial analysis, and more.
Algorithms and models, including remote sensing image processing algorithms, water extraction algorithms, water quality monitoring models, etc. The accuracy and applicability of algorithms and models are the key difficulties in technology research and development.
Data security and privacy protection involves a large amount of sensitive data in the integrated monitoring of the sky and ground, including geographic location information, water source data, etc., so data security and privacy protection is an important problem.
Of course, overcoming these difficulties requires technological innovation, multi-manufacturer cooperation and sharing, and other efforts and measures.