Advancing System Integration in Process Industry: Sensor Data Gathering, Wireless Networking Supervisory Control

Important results from the project

The aim of the project has been to investigate whether wireless control of large scale industrial processes is possible. Based on extensive radio channel measurements we have built statistical models describing channel properties in complex industrial environments. In addition, we have developed protocols for how to send data packets efficiently in multi-hop networks. We have investigated event-based control based on harvesting-based methods. Tests on an industrial process in full production during five days show that wireless control is feasible, sustainable and attractive.

Expected long term effects

The overall result is that implementation of wireless control is feasible on complex industrial processes. We have developed methods to describe the radio environment, how to send packets between nodes, how to use energy management along with event-based control methods. We see three main effects of the project in addition to enhanced industrial cooperation: Valuable input to new standards for wireless control systems, major savings in terms of material, installation- and maintenance costs, as well as the ability to update existing processes with wireless control technology.

Approach and implementation

The project was initially divided into different work packages to investigate key components such as radio channel modeling, harvesting, routing and control strategies. Various partial results were discussed and evaluated during joint project meetings. The experiences from these meetings were then used for the continued work. Then we discussed how we could test our developed methods on a true industrial process during full production. Initial tests were conducted on a smaller scale before full-scale tests were conducted for five days. Results were evaluated and conclusions drawn