IoT (Internet of Things) projects need ideas, cooperation, planning, broad know-how

The competitiveness of companies can always be measured by the same factors: operational efficiency, reduction of production costs, acceleration of processes and successful implementation of new business models. Automation has already reached a high level in many industries through robotics and digitization. In logistics, too, the just-in-time supply of raw materials and parts to production has become ever more efficient through digitization.

In communication, however, many people still perform the interface functions between logistics and production, machine A and machine B, machine wearout and spare part ordering.

The next logical step in automation is therefore the establishment of direct machine-to-machine (M2M) communication, which is monitored by humans but no longer initiated. The IIoT (Industrial Internet of Things) is therefore considered to have the next great potential for increasing efficiency.

With a consistent introduction and implementation of the Industrial Internet of Things, material procurement, production, and transport of material goods take place with the highest operational efficiency. Machine learning can be used to automate production processes which, due to their complexity, previously required human control and supervision. Processors can collect and process large amounts of data extremely quickly. On this basis, production processes can be adapted to changing requirements virtually in real time.

The engineers at COSATEQ Engineering are your specialists in the planning and implementation of intelligent networked machines and equipment. We know the often adverse industrial environmental conditions from over 20 years of experience in control engineering and embedded systems, and will find the best and feasible IIoT solution for your company.