In the industrial production process of the rubber and plastics industry, the IoT intelligent monitoring system can be divided into an information layer and a control layer to achieve more efficient monitoring and control capabilities.
information layer: The information layer is the core of the IoT intelligent monitoring system. It provides real-time monitoring and management functions through terminal devices such as computers and mobile phones. Users can access the central control system through these devices and obtain real-time data, status information and alarm information during the rubber and plastic production process. These data can be presented in a visual form to help users quickly understand production status and conduct remote monitoring and decision-making.
control layer: The control layer includes plastic machinery such as injection molding machines, various sensors, and intelligent auxiliary equipment. Injection molding machines are common production equipment in the rubber and plastic industry. They are connected to the central control system through Internet of Things technology to achieve remote monitoring and control. Various sensors can sense temperature, pressure, flow and other parameters in the production process in real time and transmit these data to the central control system. In addition, auxiliary equipment such as intelligent constant temperature and constant pressure variable frequency water supply systems, intelligent central feeding systems, and energy-saving air supply systems can also be integrated with the central control system through Internet of Things technology to achieve automated control and optimization.
Third-party integrated system: The IoT intelligent monitoring system can also be connected with third-party integrated systems to achieve wider functionality and expansion. For example, integrating with the enterprise's ERP system can realize the automation of production planning and material management; integrating with the quality management system can realize real-time quality monitoring and report generation; integrating with the energy management system can realize the monitoring and optimization of energy consumption. Such integration can provide comprehensive production management and decision support, making the entire production process more intelligent and efficient.
