IoT July 2019

Making the case for IoT data

As Internet of Things (IoT) enabled devices such as connected cars become increasingly common, they are generating an immense volume of data with endless use cases. Each device fitted with an IoT SIM becomes a point of interest. Even basic call detail records (CDR) and short message service (SMS) data set records provide information such as time, location, connection state, quality of network, type of network – 3G, 4G and the recently launched 5G – and service description metadata associated to end user.

There are a multitude of other device-dependent data types that could be transferred over the SIM connection, such as telematics from vehicles, and integrated with other data sets using GeoSpock’s state-of-the-art spatial big data platform to gain unique insights to drive action.

Here are just a couple of the opportunities and use cases associated with IoT data:

Smart city management

The UK population continues to rise, increasing by 400,000 last year. As a result, urban centres are becoming ever-more congested, so smart city technology is vital to boost efficiency and improve citizens’ lives.

IoT data can be used to identify congestion or road issues and instantly reroute vehicles to keep traffic flowing, as well as automatically scheduling repairs. Data insights can also be used to manage energy use and minimise pollution, for instance by intelligently detecting when there is little or no traffic and automatically dimming streetlights. Moreover, IoT data can be used to optimise waste collection, by implementing insights to minimise mileage and fuel use, while avoiding traffic hot spots at specific times.

Micro weather forecasting

Weather conditions can vary dramatically over short distances, meaning regional weather forecasts often bear little relation to what’s actually happening outside the window.

IoT data can be used as one input for micro-cell weather forecasting, using the power levels of radio waves between the SIM and the cell tower to establish real-time weather conditions at an extremely local level. This information can then be combined with other data sets, such as telematics, to establish whether cars in the area have their lights on, or are using their windscreen wipers, building a more complete picture of weather conditions.

Streamlining delivery services

The delivery industry is continually looking to provide a better service at a lower cost and IoT data can provide the necessary insight to make that happen. When IoT SIMs are fitted to delivery vehicles, each one is a point of interest on the move, meaning its route can be accurately determined.

Delivery companies can analyse driver routes, calculating average drop times, dwell times, and distances between drops. Density analysis reveals when multiple drivers are operating in the same area at the same time, while additional data sets can reveal whether drops were successful or not. All this information can be integrated to establish patterns and optimise routes to increase efficiency.

Vehicle management services

Engine management and vehicle usage information, delivered over the SIM connection in the form of telematics, can provide auto original equipment manufacturers (OEMs) with incredible insight, allowing them to offer new data-driven services.

Telematics enables remote, real-time diagnostics and predictive maintenance, monitoring elements such as mileage, fuel consumption, battery levels, tyre pressures, and oil and water levels. It also allows driver behaviour to be analysed encouraging responsible vehicle use and potentially feeding into areas such as insurance. OEMs can use data to offer customers location-based services by layering in point of interest data such as dealer locations and approved garages.

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