Energy & Power Generation
In coal and biomass power plants, the presence of dust in fuel storage and processing facilities represents an inhalation and combustion risk. The Dock Robotics Ltd. data acquisition and analytics tool allows dust concentrations to be routinely monitored and spatially mapped over work areas. This allows opportunities for dust management strategy improvements to be to be intuitively visualised.
Chemical Processing
In chemical processing industries, gas leak detection and quantification can be vital to maintaining plant safety and efficiency. Manual gas detection can be dangerous, costly, error-prone and result in plant downtime. Dock Robotic Ltd. data acquisition and analytics tool allows levels of specific gases to be routinely monitored so that anomalies can be flagged without the reliance on human intervention or plant downtime.
Oil & Gas
In the oil & gas industry, visual plant inspection is a routine requirement that is often carried out manually. Motivations to automate this originate from the need to improve health and safety, efficiency, and inspection data quality. The Dock Robotics Ltd. data acquisition and analytics tool address these issues by reducing human intervention in inspection tasks and allowing precision datasets to be built for predictive, rather than reactive, maintenance.
Warehousing
In warehousing, there is growing motivation to improve thermal performance of storage facilities amid rising energy costs and the need to reduce environmental impacts. Routine thermal imaging, densely mapped across a facility, using the Dock Robotics Ltd. data acquisition and analytics tool allows hot and cold spots to be visualised to identify opportunities for improving energy management.
Mass Production
In food production, monitoring of temperature, humidity and airborne allergens is important for product quality and safety. These conditions are typically measured using fixed sensors. Routine monitoring with the Dock Robotics Ltd. data acquisition and analytics tool allows data to be densely mapped across a facility rather than interpolated between measurement points. Dense datasets open up opportunities for gaining previously unknown insights to optimise operations.
