Intelligent Management

Establish an intelligent control AI model for a single dryer/single chlorine distillation column to optimize the process to quickly reach the optimal energy consumption conditions, making the process more stable and achieving energy-saving benefits.

Image recognition (AOI) combined with multiple equipment and processes within the facility allows us to monitor and alert operators to ensure a safe working environment.

Utilizing AI models to provide optimal program settings (SP) and implementing AI-based intelligent control optimization allow us to rapidly achieve the best energy consumption conditions, resulting in more stable processes and energy-saving benefits which are introduced to the PVC dryer/unit chlorine distillation column.

The establishment of an AI model for process safety monitoring of the hydrochloric acid absorption tower can detect abnormal operations in advance, so that personnel can take preventive measures and control them in advance to avoid abnormal discharge and cause environmental pollution.

Introduction of the electrical panel AOI thermal imaging recognition, AI-based intelligent sensing safety systems for forklifts, and intelligent image recognition for smart weighing scales and tank truck loading, we can monitor and alert operators in the workflow, creating a safe operating environment.

Situation Room at Main Plant.

Introduce AI to a single dryer/mono chlorine distillation column through industry-academia collaboration, use the AI model to provide the optimal program operating condition setting (SP), and intelligently control the optimization with the AI model to make the program quickly reach the optimal energy consumption conditions to make the process more stable and achieve energy-saving benefits, while replicating and applying it to the three sets of dryers and three sets of distillation columns from the plant.

The production schedule can be adjusted according to the production status and changes. The AI algorithm is used to consider different production modes and constraints to find the optimal conditions in a steady state to achieve the 3M production goals: Max Capacity, Minimum idle time, and minimum power consumption.

On utilities, rotating equipment, and industrial safety and environmental protection, we collect data to establish databases, develop AI judgment models and real-time monitoring, and implement AI predictive maintenance and monitoring.

The Situation Room of the Toufen Main plant has linked the overlapping production management system, the alkaline chlorine production management system, and various online management systems to grasp the most information in real time to establish production management indicators, and display real-time production reports of each process section to meet the needs of each unit. List various indicators, produce reports as data or charts with significance for management decision-making after analysis, formulate relevant variables and relevant management countermeasures, and integrate AI functions to optimize production management, intelligent monitoring, and reduce anomalies in process operation, quality, and labor.

AI implementation in raw material production - parallel promotion of optimal operating conditions for intelligent control and introduction of the Situation Room and production management system at Toufen Main plant to extend the experience to the processing process to diversify the processed products, improve production efficiency, and reduce energy consumption. The utilization of automated intelligent inspection equipment to assist personnel in detecting defects in processed products will be further supported with the establishment of an intelligent engineering information analysis system with traceability, which is a key project for the next stage.

In the future, with the introduction of AI and the control of smart learning, AIOT technology will bring new vitality to traditional industries. In terms of hardware and software equipment, we combine technology and smart management to realize smart monitoring and automated control to effectively improve production efficiency. At the same time, through the energy management system, we maximize energy utilization and reduce environmental impact, immediately sense hazards, and provide quick and accurate contingency measures.

Manufacturing upgrades not only strengthen the integration of hardware and software, but also provide a higher level of security, accelerate the transformation from traditional production to a low-carbon future, and achieve the goals of energy conservation and carbon reduction, contributing to environmental protection.