Smart Manufacturing
Industrial IoT and Analytics for a Competitive Edge In today's rapidly changing global marketplace, manufacturers require innovative ways to produce high quality goods as efficiently as possible while still adapting nimbly to shifting demands. The emerging Industrial IoT (IIoT) paired with advanced analytics provides a solution. By instrumenting assembly lines and industrial equipment with networked sensors, manufacturers gain unprecedented visibility into operations.
01
Asset Monitoring
Sensors on machines collect data like vibration, temperature and pressure. This information is wirelessly transmitted to cloud systems. AI algorithms analyze the machine data to predict maintenance needs before breakdowns happen, maximizing uptime.
02
Process Automation
Robots and other automated equipment are controlled by programmable logic controllers (PLCs). Integration between these controllers and cloud systems allows remote monitoring and adjusting production lines flexibly based on metrics.
03
Anomaly Detection
IoT sensors constantly generate huge streams of data as products move down the assembly line. Machine learning reviews these streams to find any abnormal patterns compared to past normal performance.
04
Energy Management
Electricity and gas usage sensors track consumption. IIoT systems then control industrial equipment and processes to minimize waste. Dashboards show where to focus for reducing environmental impact and expenses.

Case study 1

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