Abstract:Lead-based solid waste is a common waste produced at both production and consumption ends, and has a strong pollution effect. Its green treatment technology is a key link to achieve the prevention of lead containing waste pollution. The collaborative treatment of lead based solid waste by double-bottom blowing process is an economical and reasonable way to treat lead based solid waste. Comparing with the traditional ore lead smelting, its production operation is more complex for co-processing lead solid waste. In order to ensure its production status in a stable and economic state, there are higher requirements for its process control system. A set of online intelligent optimization control system for lead-based solid waste collaborative smelting process has been developed by China ENFI Engineering Corporation. The whole system is integrated of online optimization control system, intelligent early warning and efficient monitoring system and system database, which mainly realizes the following functions : ① In response to the low level of automation in treatment process, based on smelting process mechanism and big data of production operation, a prediction model of key parameters of smelting process is established by applying computer modeling and neural network method, and a set of online optimization control system for lead-based solid waste collaborative smelting is developed; ② Using the workshop reality model as the carrier, an intelligent early warning and efficient monitoring system for lead-based solid waste synergistic smelting is established to realize the digitalization and visualization of industrial signals, scenes and processes; ③ The control system integrates the relevant hardware and software on site, and displays the data interaction and collaborative operation between the modules in detail, forming an intelligent, efficient and safe synergistic smelting workshop.