Automated industrial applications work towards an era of smart manufacturing within an operating ecosystem centralized through core functionalities known as the Industrial Internet of Things, IIoT or Industry 4.0.
These concepts place people, production, machines and services in remote locations, whilst connecting each stage of the industrial process through highly automated, data driven cloud applications.
Connecting each stage of the industrial process autonomously and with detailed analysis functions requires a highly efficient network of wirelessly-powered sensor nodes.
Machine-to-machine (M2M) connectivity is presently restricted by the limitations of power by cable or by conventional battery-driven devices. Continued use of incumbent practices associates a number of installation and maintenance costs with the general cost of production.
For the IIoT to realize its potential, a flexible and robust wireless power source is required to provide actionable solutions that seek to optimize industrial operational efficiencies through cost saving practices and improved manufacturing processes.
Surwon Technology's collaboration initiative, in partnership with the research and manufacturing units of leading corporations, continues to uncover the potential of its IP range throughout the industrial sphere.
Surwon Technology's collaboration initiative has been instrumental in the development of real world applications that are currently employed in the production processes of leading automobile corporations.
Smart manufacturing: Full automation and M2M connectivity to improve performance analysis of high temperature manufacturing processes.
Automotive testing applications: Automobile testing processes to analyze levels of strain as engine temperatures are monitored.
Malfunction detection: Vibration and temperature sensors deliver analysis to determine early warning signals as machinery performance begin to show signs of failure.
Supply chain trace: Centralized chain traceability to improve all aspect of the production-to-delivery process.
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