Intelligent operational optimization method in municipal solid waste incineration process
US12271665B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 7, 2024 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Aug 7, 2044 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF23G5/50
- WIPO fieldEnvironmental technology
- WIPO sectorChemistry
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.