The realization of remote operation technology for vulcanizing machines mainly involves the following aspects:
Data acquisition and networking: By connecting to the vulcanizing machine controller PLC, data interaction is achieved. By leveraging Internet of Things (iot) technology, vulcanization equipment is networked, enabling enterprises to monitor in real time the operational status, process parameters, production information, alarm data, etc. of each vulcanizing machine on the factory data dashboard and MES platform. For instance, the on-site control system is responsible for controlling the vulcanization process of the vulcanizing machine and collecting real-time data. These data are transmitted to the monitoring station via the local area network and then sent to the remote client via the Internet.
Remote monitoring and alarm: Collect corresponding information in monitoring systems at all levels and summarize it uniformly to achieve full supervision of the production situation of the entire factory. Operators can understand the entire working process by analyzing data, identify system problems and handle them in a timely manner. When the equipment parameters exceed the normal range, the system automatically sends out alarm information to remind relevant personnel to handle it in time.
Remote control and operation: The control signals from the monitoring nodes or those sent by the project administrator through the local client or remote client can be transmitted to the lower computer via the network, enabling remote operation and control of the lower computer. For instance, engineers can achieve remote programming and debugging of PLCS, as well as remote uploading and downloading of programs through the network channel for remote maintenance of PLCS, thereby enhancing work efficiency and reducing operation and maintenance costs.
Data storage and analysis: Conduct comprehensive statistics and analysis on equipment operation data, fault data, maintenance data, etc. Through data analysis, enterprises can understand the overall operation status of equipment, identify potential problems and weak links of equipment, and provide data support for the optimization and upgrading of equipment. At the same time, a full life cycle file of the equipment should be formed to understand information such as the alarm frequency and operation and maintenance records of the equipment, summarize experiences and make improvements and optimizations, take measures for timely maintenance, and reduce the losses caused by faults and shutdowns.