2004•Hongshui RiverRequires access

Construction and Application of the Automatic Water Measuring & Reporting System and in Tianshengqiao Hydropower Station

Guang Lin

Open publisher page 0 citations

Abstract

Covering a catchment area of 50 194km2, the automatic water monitoring and reporting system in Tianshengqiao hydropower station is communication with a combined network by Inmarsat C satellite provided by international organization for movable satellite, and the VHF network. The hydrological data obtained in the 36 remote observation stations are sent to the central station through satellite, VHF, microwave and fibre optical, etc., meantime the water data of Lubuge hydropower station is connected to this system by VSAT satellite. This system realizes the functions of the power station in data collection and processing within its covering area, management and maintenance of database, flood forecast, flood dispatching and dispatching for power generation, as well as network management, and meets the requirement of the power station in flood prevention dispatching and optimized dispatching, providing guarantee for maximum benefit of both the Phase I and Phase II of the power stations.

About this research paper

What this paper is about

Covering a catchment area of 50 194km2, the automatic water monitoring and reporting system in Tianshengqiao hydropower station is communication with a combined network by Inmarsat C satellite provided by international organization for movable satellite, and the VHF network. The hydrological data obtained in the 36 remote observation stations are sent to the central station through satellite, VHF, microwave and fibre optical, etc., meantime the water data of Lubuge hydropower station is connected to this system by VSAT satellite. This system realizes the functions of the power station in data collection and processing within its covering area, management and maintenance of database, flood forecast, flood dispatching and dispatching for power generation, as well as network management, and meets the requirement of the power station in flood prevention dispatching and optimized dispatching, providing guarantee for maximum benefit of both the Phase I and Phase II of the power stations.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Covering a catchment area of 50 194km2, the automatic water monitoring and reporting system in Tianshengqiao hydropower station is communication with a combined network by Inmarsat C satellite provided by international organization for movable satellite, and the VHF network. The hydrological data obtained in the 36 remote observation stations are sent to the central station through satellite, VHF, microwave and fibre optical, etc., meantime the water data of Lubuge hydropower station is connected to this system by VSAT satellite. This system realizes the functions of the power station in data collection and processing within its covering area, management and maintenance of database, flood forecast, flood dispatching and dispatching for power generation, as well as network management, and meets the requirement of the power station in flood prevention dispatching and optimized dispatching, providing guarantee for maximum benefit of both the Phase I and Phase II of the power stations.

Key concepts: Hydropower, Satellite, Flood myth, Power station, Communications satellite, Remote sensing, Environmental science, Flood prevention

Related papers

Back to paper searchBrowse research topicsOriginal source
Construction and Application of the Automatic Water Measuring & Reporting System and in Tianshengqiao Hydropower Station — Research Paper | ScholarLens