Online atmospheric-pollutant monitoring system based on wireless cloud sensing network

Abstract

The invention belongs to the technical field of online atmospheric-pollutant monitoring, and discloses an online atmospheric-pollutant monitoring system based on a wireless cloud sensing network. Thesystem is provided with a user terminal, a data aggregation terminal, a wireless cloud sensing network, a system analysis module, a temperature monitoring module, a pollutant monitoring module, another temperature monitoring module and a time control module. The temperature monitoring module, the pollutant monitoring module and the another temperature monitoring module are connected with the timecontrol module and the system analysis module through wires. The system analysis module transmits data to the wireless cloud sensing network through a GTiBee protocol. The data aggregation terminal receives and aggregates the data of the wireless cloud sensing network. The user terminal knows an atmospheric pollution situation through accessing the data aggregation terminal, and controls monitoring equipment. According to the system, atmospheric pollutants and atmospheric temperature and humidity can be automatically monitored online, the data are transmitted to the data aggregation terminal through the wireless cloud sensing network, and finally, observation is carried out through the user terminal, and control is carried out.

Description

technical field [0001] The invention belongs to the technical field of on-line monitoring of air pollutants, in particular to an on-line monitoring system of air pollutants based on a wireless cloud sensor network. Background technique [0002] At present, while bringing economic benefits to some enterprises, it will cause great air pollution problems, threaten the health of local residents, and affect the safety of the local environment. [0003] The degree of automation of pollutant monitoring through manual or fixed monitoring points is low, the cost of manual maintenance is high, and the data has a large lag. The local management department cannot receive pollution monitoring information at any time. Therefore, there is an urgent need for a device that can automatically monitor air pollutants online. [0004] Image segmentation is a classic image processing problem. Its purpose is to divide an image into several meaningful regions, each of which has similar characterist...

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Problems solved by technology

[0007] To sum up, the problems existing in the existing technology are: the degree of automation of pollutant monitoring through manual or fixed monitoring points is low, the cost of manual maintenance is high, and the data has a large lag, and the local management department cannot receive pollution at any time. monitoring information; and the prior art pollutant image processing technology has a low degree of intelligence

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