Rubber machinery

‌The application of I/O remote modules in rubber machinery‌is mainly reflected in the following aspects:


Rubber machinery.jpg


‌Automated control

In the production process of rubber machinery, I/O remote modules are used to detect sensor signals and control actuators to achieve automated control of the production line. For example, in the tire production process, from mixing, extrusion, calendering to final vulcanization, the I/O remote module can control and monitor in strict accordance with the temperature, pressure and other conditions specified by the process to ensure the stability of the production process. and product quality‌.


‌Data collection and processing

The I/O remote module can collect various data during the production process and monitor and manage the equipment through remote control. For example, when using a vulcanizer, the I/O remote module can monitor the pressure and temperature changes during the vulcanization process in real time to ensure the vulcanization quality of the tire.


‌Improve production efficiency and equipment stability

Through the automated control of I/O remote modules, manual intervention can be reduced and production efficiency improved. At the same time, the wide-temperature and wide-pressure design of the module can ensure the stable operation of rubber machinery in high-temperature environments and avoid failure or damage due to excessive temperature.


‌System integration and expansion

The I/O remote module can be integrated with other control systems (such as PLC control systems) to form a complete automation control system. In this way, complex human-computer interaction functions can be realized and data management can be carried out, further improving the intelligence level of the production process‌.


To sum up, the application of I/O remote modules in rubber machinery not only improves production efficiency and equipment stability, but also enhances the intelligence level of the entire production process through automated control and data management.