Case Studies - LF Edge

Robot BP will write case study document based on result in food factory.

Abstract

In food factories, the ambient temperature often affects the completion of products. In particular, in the production of bean curd skin "yuba", a traditional Japanese food, temperature is an important factor. Because heat denaturation of soy protein is utilized. However, food factory needs to take outside air to prevent high-humidity and condensation by cooking heating. As a result, the temperature becomes unstable. Therefore, it is a problem to predict and control the temperature change in the food plant. To solve this problem we used the Blueprint to build a sensor network and analyze data to create a temperature prediction model for the factory based on past outdoor temperatures and temperatures in the factory.

Follow up to see we need a co-located event.

Another candidate is edge computing conference on end of august.