Modern industries have a large number of interdependent units and careful use of embedded systems with sophisticated analytics to connect reactors, products, people and services can potentially help in wide-scale improvement in supply chain management and overall plant optimization. By linking the physical units with internet using embedded smart devices and data carriers, it will be easier to monitor the performance and life cycle of production.
We digitally re-create the environment, whether that is the entire factory or a specific instrument, and provide the immersive experience of virtual reality (VR) to the user. Within VR, we can support introductory, training exercises and remote control of the physical subject (typically via a digital control system).
We provide dynamic information to the user at the scene via augmented reality (AR), this can simply be sensor readings or complex control manoeuvre instructions. Furthermore, by combining both realities, we can provide users with a truly seamless working method that overcomes geographical distance.
Simulations, another reality exists in numbers, constantly provide us with accurate, reliable predictions and efficiently draw experiences from historical data. We have well-established methodologies for integrating process models and data and information to develop synthesis tools and capabilities for industrial processes. Based on these capabilities, the application of dynamic process simulation to the intelligent factory will be explored in order to capture industrial processes in real-time. These novel simulation platforms will have the capability to mimic real-time chemical operations in a virtual environment and will form the basis for simulation-based optimisation.
We aim to provide a robotic solution to replace labour in the factory. Additionally, we build a novel strategy for autonomous architecture, that exhibit rapid information selection, sense understanding and decision-making capabilities in the remote sensing networks.
In collaboration with the Surrey Space Centre at the University of Surrey, we have access to the most cutting-edge research and technology:
The 5G network enables mass connectivity, better bandwidth and low latency. It is fundamental to the idea of remote control and a massive number of wireless sensors.
In collaboration with the 5G Innovation Centre at the University of Surrey, we are open to the state-of-the-art 5G infrastructure and latest 5G technologies.
Together, we are dedicated to delivering mobile communications and wireless connectivity solutions capable of meeting the needs of tomorrow’s connected society and digital economy. Fast mobile and wireless communication technologies are very vital to the interconnectivity of connected industry of the future. Our collaborator, the University of Surrey has over a decade’s expertise in research focused on future communication systems, such as mobile and wireless communications, satellite communications, networking (management, protocols and security). Through the 5G Innovation Centre, world-leading expertise in wireless sensor networks, the realisation of low-cost embedded industrial automation systems that can monitor and control industrial processes has become feasible. Cognizant sensor networks can be deployed in industrial processes to predict equipment outages and leakages, monitor inventory and optimise energy efficiency. These capabilities will also pave the way for analytics to ensure a variety of industries operate in a sustainable manner by comparing the current usage of energy resources to expected usage and determining possible causes of variation and possibilities to reduce the overall carbon footprint.
The human factor has always played a critical role in the production, and it will still be a decisive factor post-industrial 4.0 era.
If managed successfully and effectively, we can provide the best care to the employees, and at the same time improve the production process and optimise costs.
Robotics & Automation
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Surrey Technology Centre
40 Occam Road
Surrey Research Park
Guildford, Surrey, GU2 7YG