Beijing University of Technology

Shanghai Microport Ep Medtech Co., Ltd.

Yahui Peng

Junfei Qiao

Yiyong Sun

Xi Meng

Liuping Shen

Qingchun Zhang

Huimin Chu

Huasheng Cheng

Provided are an end-edge-cloud collaborative furnace temperature (FT) control method and system in a municipal solid waste incineration (MSWI) process, which relates to the field of FT control. Process data of the MSWI process are obtained in real time, and the acquire process data are processed. An FT prediction model is established according to received data, the prediction model is updated based on a self-correcting mechanism (SCM), and the established model is delivered to an edge side. An FT prediction model established and updated online on a cloud side is used to predict FT on the edge. An objective function is optimized by using a gradient descent method, an optimal control law (OCL) is solved, and an execution device is adjusted according to the calculated control law. This implements stable and accurate control of the FT in the MSWI process.

End-edge-cloud collaborative furnace temperature (FT) control method and system in municipal solid waste incineration (MSWI) process

Growing community of inventors

Beijing, China

Yahui Peng