Environment big data internet-of-things intelligent detection system

Abstract

The invention discloses an environment big data Internet of Things intelligent detection system, which comprises an environment parameter acquisition platform and a formaldehyde big data intelligent prediction subsystem, realizes accurate detection and grade classification of formaldehyde concentration, and improves the reliability and accuracy of formaldehyde concentration detection. The system effectively solves the problems that an existing environment parameter detection system has no influence on the accuracy and reliability of measured environment parameters according to complex changes such as large environment area, nonlinearity of environment parameter changes, large lag and the like, and does not accurately detect and predict the environment parameters, so that the monitoring and management of the environment parameters are greatly influenced.

Description

technical field [0001] The invention relates to the technical field of automatic control equipment for environmental parameter detection and processing, in particular to an intelligent detection system for environmental big data Internet of Things. Background technique [0002] In the process of social modernization and urbanization, with the continuous expansion of urbanization scale and more and more housing construction, the problem of environmental pollution is unavoidable, and environmental pollution is particularly important. According to statistics from the China Consumers Association, the focus of complaints has gradually shifted from quality complaints to environmental pollution complaints. The national health, construction and environmental protection departments conducted spot checks on interior decoration materials and found that 68% of them contain toxic gases or strong pollutants. These materials emit various pollutants including formaldehyde, benzene, trichlor...

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Problems solved by technology

[0003] The present invention provides an intelligent detection system for environmental big data Internet of Things, which effectively solves the problem of the accuracy and reliability of the measured environmental parameters due to the large environmental area, nonlinearity of environmental parameter changes, and large hysteresis in the existing environmental parameter detection system. There is no accurate detection and prediction of environmental parameters, which greatly affects the monitoring and management of environmental parameters.

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