Real-time monitoring of fan operation in livestock houses based on the image processing

作者：

Highlights：

• A machine vision method was developed to monitor fan operations in animal houses.

• Aggregability and discriminability were found for the displacement matrix of pixels.

• Proper resolution and threshold were recommended in using the proposed method.

• Fan running state was 100% identified with the error of 1.84% for airflow rate.

摘要

•A machine vision method was developed to monitor fan operations in animal houses.•Aggregability and discriminability were found for the displacement matrix of pixels.•Proper resolution and threshold were recommended in using the proposed method.•Fan running state was 100% identified with the error of 1.84% for airflow rate.

论文关键词：Running state,Airflow rate,Hough transformation,Dense optical flow,Displacements of pixels

论文评审过程：Received 26 January 2022, Revised 22 August 2022, Accepted 22 August 2022, Available online 26 August 2022, Version of Record 29 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118683