EtherCAT Single-Strand Media Converter, TX 1550 nm, RX 1310 nm, SC (RoHS)

Monitoring whether the efficiency of energy utilization within the entire plant achieves a loop balance, which is a major concern for those factory owners who really care about the price of electricity. In those situations, they would relatively concerned about whether the contract capacity exceeds the contract, and whether the power factor (PF) achieves the balance.

The classification of and access to electricity consumption information is defined here as the monitoring of production equipment, motors, pumps, refrigerating and air-conditioning, air compressors, heating equipment, and lighting to obtain electricity consumption information and status of each circuit, and the automatically generation of reports by the system, from which the information and status can be further integrated with an MES and/or ERP system to precisely calculate the unit cost of the electricity consumption.

ICP DAS ensures that the customer’s production goals can be achieved using existing equipment by integrating the customer’s needs, as well as collecting data from the terminal equipment via sensors and then transmitting it to the back-end for further analysis. In this way, we can help improve the availability, improve the production process for the products, increase the quality and yield, and reduce the implicit cost of production, thereby helping the company to progressively migrate to Industry 4.0.

Measure whether the temperature of key components in each machine, such as the motors, heaters, bearings, valves, pumps has increased, and whether the current for each has changed. Other items, such as the vibration frequency should also be monitored. If there is any suspicious abnormality, an early warning should be provided so that any maintenance can be begun in advance, thereby avoiding any risk of a shutdown.  

ICP DAS utilizes its own IoTstar cloud management software, together with its own WISE, PMC and PMD intelligent controller series to manage the data collected by the I/O devices being controlled, or perform the logic configuration for scheduling control, which authentically shares the computing burden and realizes real-time intelligent control in the field.