Continuously logging temperature data in an office- or industry environment can provide a range of benefits. In this application note, a method of combining several Disruptive Technologies (DT) temperature- and door-proximity sensors to generate a temperature heatmap is proposed. Using a room layout representation, the heatmap gradients are calculated by inverse distance weighting. Read more.
Through body heat radiation, Wireless Temperature Sensors can be used to detect the presence of people by installing them underneath the desk, useful for generating an overview of utilization efficiency. In this application note, an algorithm for continuously tracking desk occupancy is proposed. Read more.
Continuously logging temperature data can help ensure the quality of refrigerated items in cold storage. However, in applications where the fridge door is opened in rapid succession, the unit's ambient air temperature may not reflect that of the items stored there. In this application note, a method for indirectly monitoring the core temperatures of items through heat-transfer modeling is explored. Read more.
When running large-scale services, continuously monitoring asset temperatures can provide essential information for smooth long-term operation. Due to their small size and long-lasting battery life, Disruptive Technologies (DT) Temperature Sensors are well suited for simultaneously monitoring many assets. In this application note, the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is applied on a stream of 25 temperature sensors with the aim of catching outlier events. Read more.
Forecasting time series data can be useful in many applications, be it simply for acquiring an overview of expected behavior or as incorporated in more complex anomaly detection systems. In this application note, the popular Holt-Winters model has been implemented and used for decomposing and forecasting seasonal transformer temperature data. Read more.
Being a popular topic in many fields that deal with logistics or inventory management, this application note takes a look at how Disruptive Technologies (DT) Wireless Sensors can be used to track assets between physical locations. By placing Cloud Connectors at different premises, determining both historic- and current positioning of sensors becomes trivial using RSSI measurements. Read more.
Cold storage applications are often subject to strict temperature requirements during operation. Continuously tracking the condition of fridges containing food, medicine, or other easily spoiled product can help avoid loss of produce by detecting failure onset. In this application note, an alternative approach to triggering alarms is proposed, separating short-time oscillations in temperature from the more representative baseline with the aim of reducing false alarms. Read more.
Disruptive Technologies (DT) sensors can be used to gather high-resolution environmental data which in turn can be used to develop models and aggregate analysis. In this application note, we will look at how the POWER BI platform can be used to develop an analytics solution on data continuously gathered using DT sensors and a Data Connector. Read more.
While our current range of devices already covers many use cases, some sensor types, like barometric pressure, are yet not in our repertoire. In this application note, we will take a look at how a Raspberry Pi can be used to sample barometric pressure data from a Mikroe Environment Click breakout board, then periodically publish events to the DT Cloud using our Python Emulator API. Read more.
We continuously improve and implement new DT Studio features for our users to interact with and explore their data. Many requested features are, however, quite user-specific and might take some time before receiving official support. In this application note, custom functionality is added to DT Studio using tools already available to all of our customers at no additional charge. Read more.