Robust, scalable and cost-effective LPWAN for Smart Cities
Inadequate network coverage and scalability as well as high-cost barriers
The high building density in urban environments presents enormous challenges for conventional communications solutions that have significant penetration and range limitations.
In addition, a smart city model requires a cost-effective, highly scalable network to connect a massive, growing number of granular data points.
Drive Robust, Scalable and Cost-Effective Smart City Innovation with MYTHINGS™
Purpose-built for low cost, low power and large-scale IoT applications, MYTHINGSprovides versatile citywide connectivity that supports a vibrant smart city ecosystem. The robust, long-range radio link enables reliable data communications from the most difficult locations like basements or parking garages.
Effectively align energy generation with demand and execute time-of-use dynamic pricing using real-time consumption data from smart meters. Facilitate the integration of renewables and micro-generation into the electrical grid with metering data.
Adjust brightness and preschedule lighting of street lamps based on traffic conditions and pedestrian presence data. Remotely monitor component health status (e.g. fixtures and lighting panels) for timely maintenance to ensure traffic safety.
Detect tank and pipeline leakages with flow sensors and smart meters. Enable consumers to track their water usage patterns and better manage consumption to augment conservation with metering data. Keep track of water quality at public taps.
Track data on parking space availability and update digital signs, indicators lights and API-fed user apps to reduce congestion, improve driver satisfaction and save on ventilation costs in indoor parking facilities. Enable automatic alerts for mobile devices to remind users of their parking expiration.
Monitor the structural health of critical public infrastructures like bridges and high-rise buildings. Diagnose potential wear and tear for predictive maintenance to avoid disastrous incidents
Monitor air quality and generate pollution maps to help guide urban planning initiatives. Reduce exposure to pollution at critical times and in optimal places and regulate emission generating activities such as traffic.
Optimize schedules and routes of waste pickups leveraging sensor data on container fill-levels to reduce financial and environmental burden.
Disaster Warning and Response
Monitor weather, atmospheric and seismic parameters to identify early signs of disasters (e.g. forest fires, avalanche, earthquake) and improve warning and response activities.