Robot vision-based method for identifying mould and accumulated dust in a concentrated wind system

Abstract

The invention relates to a robot vision-based method for identifying mould and accumulated dust in a concentrated wind system, which comprises the following steps of: acquiring a panoramic video stream in a ventilation system by using a movable pipeline robot carrying a high-definition camera, and performing illuminance reduction, noise elimination and image enhancement on image frames containing mould and accumulated dust by combining a plurality of algorithms; and achieving identification of mold and dust accumulation image features through construction of a deep neural network. In the aspect of application, a big data analysis method can be introduced according to periodically polled video sampling data to reveal where accumulated dust and mould are easily generated in the air duct, and a basis is provided for periodic and directional cleaning of a ventilation system. Aiming at the defects that at present, the detection of mould and accumulated dust in a centralized air system mainly depends on a biological sampling culture method, the consumed time is long, and only some parts of a ventilation system can be analyzed, the detection efficiency of the substances can be greatly improved by adopting the method; and support is provided for establishment of a visual diagnosis and quantitative evaluation method for the internal environment of the centralized ventilation system.

Description

technical field [0001] The invention belongs to the technical field of computer image recognition, and relates to a method for detecting and classifying objects based on robot vision, in particular to a method for identifying mold and accumulated dust inside a centralized wind system based on robot vision. Background technique [0002] my country's public building area exceeds 12.8 billion square meters (2020 data), of which more than 20% are equipped with centralized air conditioning and ventilation systems. The system mainly includes fresh air outlets, supply and exhaust fans, filters, ventilation ducts, etc., which can control and adjust the temperature and humidity of indoor air, provide fresh and clean air and remove indoor pollutants, creating a comfortable and healthy indoor environment for people. On the one hand, the air sent to the indoor environment will inevitably come into contact with the air conditioning ventilation system, and the contact between the two may ...

AI Technical Summary

Problems solved by technology

In terms of the progress of machine vision related to the present invention, existing scholars have applied image recognition to the automatic detection of rice mildew fungi and the classification and screening research of biological colony forms at this stage. Visual Correlation of Internal Environment of Building Central Ventilation System

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