Riverway intelligent supervision system

Abstract

The invention discloses a riverway intelligent supervision system which comprises a riverway monitoring module (1). The riverway monitoring module (1) is connected with a data processing module (2), and the data processing module (2) is connected with a real-time data display module (3), a regional data display module (4), an alarm module (5), a report module (6), a water environment capacity calculation module (7) and an accident module (8). The riverway intelligent supervision system has the characteristic of being capable of timely and clearly reflecting the actual condition of the riverway.

Description

technical field [0001] The invention relates to a river channel monitoring system, in particular to an intelligent river channel monitoring system. Background technique [0002] The current water quality monitoring is mainly composed of fixed monitoring stations and mobile monitoring equipment. The above-mentioned equipment monitors the water quality of the river and transmits the monitoring data to the control center, which is finally displayed on the display screen of the control center. The staff can only obtain simple The above data cannot be effectively analyzed and classified, resulting in the inability to reflect the actual situation of the river in a timely and rapid manner. Moreover, the existing detection equipment only simply detects the water quality in the river, and cannot make a judgment when the pollutants in the river exceed the water environment capacity that the river can carry. When a sudden pollution accident occurs, only mobile monitoring equipment can...

AI Technical Summary

Problems solved by technology

[0002] The current water quality monitoring is mainly composed of fixed monitoring stations and mobile monitoring equipment. The above-mentioned equipment monitors the water quality of the river and transmits the monitoring data to the control center, which is finally displayed on the display screen of the control center. The staff can only obtain simple The above data cannot be effectively analyzed and classified, resulting in the inability to reflect the actual situation of the river in a timely and rapid manner.

Moreover, the existing detection equipment only simply detects the water quality in the river, and cannot make a judgment when the pollutants in the river exceed the water environment capacity that the river can carry

When a sudden pollution accident occurs, only mobile monitoring equipment can be used to collect real-time data on the polluted land and its downstream rivers to monitor the pollution situation. This not only requires a large number of personnel to collect data, but also takes time Moreover, due to the relatively small number of data samples collected, it is impossible to quickly and accurately understand the pollution of the entire river

Therefore, the existing technology has the problem that it cannot reflect the actual situation of the river in a timely and clear manner.

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