基于分布式智能化建模与优化的制浆造纸过程清洁生产策略研究

Environmental pollution is one of the major issues that have received great attention in the contemporary world, and the pollution prevention and treatment have become urgent projects that need to be dealt with in almost every industry. This research proposed the idea of applying automation technology, especially the modeling and optimization techniques to cleaner production of industrial processes. Take the pulp and paper industry as application background, the technology is used to build the framework of automation based cleaner production strategy as well as its multi-agent model. With the pollution model and optimization algorithm of this strategy, the operation of cooperated optimization can be fulfilled through existing computer process control system, which will be the integrated control of product quality guarantee and pollution yield decrease, so that the purpose of a low-cost cleaner production can be reached. Real-time continuous dynamic systems and agent expression of uncertainty are also studied. A multi-agent based multi-objective optimization algorithm and a distributed intelligent multi-variable DMC control algorithm are proposed, in which the theory and implementing problem of multi-agent cooperated objective optimization for different layer, different production index and different structure of multi-agent are considered. All the theory and algorithms obtained are tested through the models and simulation based on the data from the real production fields, and they could be extended to other industry easily.

清洁生产是从源头减少污染物产生的重要工业环保策略。自动化技术是实现这一策略的重要手段。本申请采用分布式智能化技术，研究统一框架下实现制浆造纸过程清洁生产多智能体模型和优化策略，解决连续动态系统智能体表达、智能优化方法、多智能体协同优化等关键问题，对建立基于自动化技术实现清洁生产方法体系、推进复杂系统智能方法研究意义重大。