Maintaining equipment is challenging in extreme environments such as high temperatures, dust, corrosive substances, and remote locations. Failure of such equipment has large economic consequences due to both downtime in production lines and the cost of replacing components. Manual inspection of can be dangerous, with the potential of seriously harming personnel. Monitoring is often done through periodic inspection during production stops which may not be representative of the equipment state while in operation.
Idletechs offers systems for online condition monitoring – combining powerful analysis software with thermal imaging and existing sensors. This gives our customers updated status of equipment presented in a user-friendly dashboard.
Having control over all factors influencing production processes is crucial for operations. This could be raw material composition, temperature distribution in products, process parameters, or external factors such as seasonal temperature variation. To maintain consistently high product quality, energy efficiency, and low emissions all these factors must be considered when controlling the process.
Idletechs offers systems for process monitoring, combining customers’ existing process knowledge and models with powerful analysis software to improve process knowledge and control. Results are presented in a dashboard, showing how factors are related and alerts users when to make adjustments.
Monitoring the quality of end products is crucial both in terms of ensuring that customers get the product they ordered, and to verify that the production process is running as it should. In many industries, quality is inspected through infrequent manual sampling. This means that the majority of products are not checked, and variations in product quality are left undetected.
Idletechs offers systems for online quality monitoring based on a range of sensors such as thermal cameras, video cameras and hyperspectral sensors. Results are presented to users in a dashboard, where users can monitor product quality over time and investigate common quality deviations.
The use of multichannel sensors such as hyperspectral cameras or spectrophotometers is growing rapidly. These sensors capture enormous amounts of information which must be handled both in terms of sheer amount of data and separating the information into causal phenomena.
Idletechs’ hyperspectral compression toolbox use N-way (time, space, and spectral) model-based compression to greatly reduce the size of hyperspectral images. Coupled with our methods for analyzing model fit of new data, transmitting unmodelled data, and for performing smart updates to models. This gives our solution a unique ability to both adapt to new situations and transmit highly compressed data with little loss of information.
This allows much better bandwidth utilization through