Environment pollution monitoring device based on big data and artificial intelligence

Abstract

The invention discloses an environmental pollution monitoring device based on big data and artificial intelligence. The device comprises a supporting frame, the interior of the supporting frame is fixedly provided with a monitoring chamber, and the interior of the monitoring chamber is sequentially provided with a protective mirror, a focusing mechanism, a detection mechanism, and a two-axis linear electric sliding table. A monitoring mechanism used for monitoring the environment is installed between the supporting frame and the monitoring chamber, the focusing mechanism comprises a lower protection box installed at the bottom of the monitoring chamber, a rotating shaft is installed in the lower protection box through a bearing, a gear is fixedly installed on the outer surface of the rotating shaft, and the top of the gear is meshed with a rack. According to the present invention, the position of a light beam can be detected through a light intensity sensor, a detection signal is transmitted to an analysis system, and the analysis system controls the two-axis linear electric sliding table to drive the end, located in the monitoring chamber, of an optical fiber to move according to the detection data, so that the end, located in the monitoring chamber, of the optical fiber is aligned with the light beam of an emitter, and the automatic remote calibration of the optical fiber position is realized.

Description

technical field [0001] The invention relates to the technical field of pollution monitoring, in particular to an environmental pollution monitoring device based on big data and artificial intelligence. Background technique [0002] Environmental pollution refers to natural or man-made destruction, the behavior of adding certain substances to the environment and exceeding the self-purification ability of the environment and causing harm. Ecosystem, which in turn causes environmental pollution. There are many types of environmental pollution, among which air pollution is a common type of environmental pollution. [0003] In the prior art, the pollution in the air environment can be monitored by differential absorption spectroscopy. The principle is that the transmitter emits a light beam with a certain spectrum to the optical fiber. When the light beam passes through the monitoring room, it is absorbed by the measured substance, and the absorbed optical signal Received by the...

AI Technical Summary

Problems solved by technology

[0004] In order to ensure the alignment of the optical fiber and the transmitter before use, the position of the optical fiber needs to be calibrated. In the prior art, this operation is realized manually, and the operation is cumbersome, and it is difficult to achieve remote online calibration.

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