The theory and technology of process industry CIMS have been researched and developed for many years, especially after the test of practical application, it has gradually become a reasonable system structure. Its structural framework has evolved from the Purdue model of five-layer structure (process control, process optimization, production scheduling, enterprise management and business decision-making) to Enterprise Resource Planning ( ERP ) / Production Execution System ( MES ) / Process Control System ( PCS ). Layer structure. This has become the mainstream framework for CIMS theory and products of process industries in Western advanced industrial countries . Â
In the field of comprehensive automation technology of beneficiation industrial process , South Africa Mintek Company proposed a comprehensive automation system for beneficiation process consisting of three-layer structure of process stability, process optimization and process management, and developed the planting integrated automation platform PlantStar2000 system. BilmatTM of Algosys Canada has developed a data blending system for MES that is used primarily to achieve material balance in the concentrator. US Honeywell adoption of robust multivariable predictive control technology research and development of intelligent grinding software package (SmartGrind) and smart flotation packages (SmartFloat). Among them, SmartGrind , by analyzing the dynamic factors such as operation mode, production volume and feed quality, achieves the goal of optimal operation of the grinding process while ensuring process constraints. According to reports, the advanced control of SmartGrind can stabilize the process, increase the ore processing capacity (2%~5%) , make the product size distribution evenly, make full use of energy, and reduce the energy consumption of the grinding system (1%~2%) ; SmartFloat can Stabilize the concentrate grade and increase it by 1% , increase the recovery rate by 1%~3% , and reduce the consumption of chemicals by 2%~20% . Svedala Cisa 's optimized control system OCS uses intelligent control technology such as expert reasoning, fuzzy reasoning, neural network, soft measurement, etc., combined with intelligent modeling technology and optimized control technology to achieve mineral processing by optimizing the set values ​​of each basic circuit. Optimized operation of the process. The system has been successfully applied to many concentrators such as Canada, South Africa, Sweden, Tanzania, and the Netherlands. According to statistics, the return on investment for this product is 100% to 500% for customers every year . South Africa's Mintek has developed a range of software packages related to the optimal control of the grinding process using soft-measurement technology and optimized control technology, including mill optimization control software package MillStar , grinding particle size soft measurement software package PSE , cyclone non-contact Angle measurement software CYCAM . The system adjusts the water supply set value and the cyclone feed pressure set value through loop control and online optimization to ensure the grinding grain size is stable, and automatically finds the optimal mill load by introducing the perturbation of the ore. Changes in the nature of the ore. This system can increase the recovery rate by 1% . Finland's Outokumpu integrates intelligent control technology such as rules and fuzzy logic and intelligent modeling technology to develop a software platform PROSCON ACT that implements the supervision and control of the grinding process and the flotation process . The system increases the set value of each control loop by optimizing it. Production targets for handling, improving product quality, increasing recovery, and reducing energy consumption. The ECS/FuzzyExpert grinding process optimization control software of FL Smith Automation of Denmark can realize the maximum processing capacity of the grinding process, realize the desired grinding grain size and protection of abnormal working conditions by integrating the operating experience of the operating personnel.
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