Beijing University of Technology

China Academy of Telecommunications Technology

Xi Meng

Junfei Qiao

Shaohui Sun

Shaoli Kang

Xiaoming Dai

Qizheng Hou

Yahui Peng

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

Provided is an intelligent operational optimization method in the municipal solid waste incineration process, which belongs to both the field of municipal solid waste treatment and the field of intelligent optimization. The method includes: constructing a sample data set by collecting historical data in the municipal solid waste incineration process; with optimization objectives of nitrogen oxide emissions and combustion efficiency, establishing an SORBF neural network-based indicator model to characterize the mapping relationship between operational variables and optimization objectives in the municipal solid waste incineration process; and setting the established indicator model as evaluation functions of a multi-objective optimization algorithm, and obtaining optimal setting values of the operational variables by the multi-objective particle swarm optimization algorithm, so as to improve combustion efficiency while reducing concentrations of nitrogen oxide emissions.

Intelligent operational optimization method in municipal solid waste incineration process

The present application provides a spatial layered transmission method and a spatial layered transmission device. The spatial layered transmission method includes steps of: dividing to-be-transmitted data into at least two layers of spatial data; determining a symbol rate for each layer of spatial data, to enable an error between SERs for the layers of spatial data to be smaller than a predetermined error threshold; and encoding each layer of spatial data in accordance with the determined symbol rate, and transmitting the encoded layer of spatial data.

Spatial layered transmission method and device

Growing community of inventors

Beijing, China

Xi Meng