Traditional injection molding machines are controlled by local switches. This implies that alerts may not be responded immediately, and that maintenance can only be done through manual patrol, which is rather time- and labor-consuming. In the era of Industry 4.0 where everything is supposed to be “smart”, it is required that distributed equipment in the factory be constantly monitored and managed from a central location, so that operation and maintenance costs can be cut through prompt response to faults and preventive maintenance.
Remote Monitoring Solution of Injection Molding Machines
Onsite injection molding machines are connected to the IG502 via Ethernet ports. The IG502 collects data from the machine controller which is using OPC UA Client and then uploads the data to the customer’s MQTT server. Meanwhile, with the InConnect offering a tunnel for remote maintenance, engineers can update or modify the programs for the controller via OpenVPN. The IG502 supports local web view of real-time data, cache of breakpoint data, so that operation status can be viewed anytime as long as the machines are connected to the Internet.
- With support for multiple industrial protocols and major IoT clouds, the IG502 helps customers quickly build a “cloud + edge” solution for data collection and uploading;
- Featuring industrial design and multi-link redundancy, the IG502 works reliably under harsh industrial environments;
- With powerful edge computing capabilities and lower costs, the IG502 makes it easy for digital transformation;
- Python programmable, the IG502 enables users to customize their applications, so that data can be filtered, computed or analyzed on the IoT edge;
- Embedded with 8GB eMMC and Micro SD card, the IG502 enables data to be buffered locally when networking is unavailable, and resumes transmission when connectivity gets back;
- With worldwide certifications including CE, FCC, PTCRB, Verizon Wireless, AT&T, NBTC, etc., the IG502 works for the globe;
- The “cloud + edge” solution enables connection to large quantities of devices, which means shorter debugging time, lower operation costs and increased performance for businesses.