River and lake health monitoring method based on multi-source data fusion

Abstract

The invention provides a river and lake health monitoring method based on multi-source data fusion. In the river and lake health monitoring method, a monitoring acquisition module, a data generation module and a monitoring fusion module are used; by the river and lake health monitoring method, rivers and lakes can be monitored in an omnibearing manner in real time so as to obtain multiple assessment results, and detection results are high in accuracy; the embodiment of the invention provides the river and lake health monitoring method based on the multi-source data fusion so as to solve the problems of data acquisition limitation and the like in river and lake monitoring.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a river and lake health monitoring method based on multi-source data fusion. technical background [0002] Rivers are the birthplace of human civilization and the basis for sustainable social and economic development. However, in the past few decades, with the rise of industrial civilization, human beings have significantly increased the development and utilization of rivers and disturbed them, and the river ecosystem has gradually degraded. Some rivers have lost not only their ecological functions, but also their social and economic service functions. With the changes of the times, my country's industrial field has expanded rapidly, and at the same time, the damage to the environment has also increased. The random discharge of industrial sewage and domestic wastewater has seriously affected the growth of organisms in water environments such as rivers, lakes and se...

AI Technical Summary

Problems solved by technology

Due to the small number of environmental monitoring points of rivers and lakes, the mutual influence and complex relationship between environmental parameters, it is impossible to truly monitor the health of rivers and lakes; in addition, the obtained data is too single

The monitored data can only reflect part of the river and lake information, and it is difficult to fully and accurately reflect the changes in the entire river and lake environment

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