A raw milk service platform using BP Neural Network and Fuzzy Inference

Abstract

An important index for raw milk storage in a dairy farm is the raw milk storage temperature which directly reflects the raw milk quality. Meanwhile, it’s hard to centrally manage numerous dairy farms which are not distributed in the same place. We aim to build a kind of raw milk monitoring and warning equipment, gateway and cloud service platform to solve these problems. The raw milk monitoring and warning equipment and service platform were designed to monitor the raw milk temperature in the refrigerated storage tank and provide a warning alarm if an exception occurred. Data-driven modeling was used for acquiring, cleaning, and utilizing data to solve the raw milk storage problems. The raw milk monitoring and warning management system provided a way of predicting and warning for raw milk storage using BP Neural Network and Fuzzy Inference. The test showed that the BP Neural Network and Fuzzy Inference model built in this paper had a good performance in predicting the raw milk storage temperature and reflecting the variation of raw milk temperature in raw milk storage process. The platform and models provided a method to manage the raw milk in dairies and prevent the raw milk from deteriorating caused by the rising temperature.