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Enforta and Actility announce deployment of IoT network spanning the vast territory of the Russian ...

Enforta, the Russian telecom operator owned by ER Telecom Holding, and Actility, the industry leader in Low Power Wide Area (LPWA) networks have begun a collaboration to deploy a LoRaWAN wireless netw...

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32 h
A great emotional reward “Prix de l’Engagement Sociétal” for the “Les P’tits Doudous” association, to help children…
47 h
Merci @MarcLefevreEY ! Nous sommes fiers d'avoir participé à cette cérémonie et d'avoir passé le flambeau !

Actility acquires NL Noodvermogenpool, taking the lead in European demand response

European Utility Week, Amsterdam, October 2nd: Actility, the industry leader in the Internet of Energy, today announces that it has acquired NL Noodvermogenpool, the largest demand response aggregator...

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Actility and machineQ Demonstrate Asset Tracking Solution at MWC Americas

Actility, the industry leader in Low Power Wide Area Networks (LPWAN) and IoT location solutions, and machineQ, Comcast’s IoT network service and platform, are together demonstrating an asset tracki...

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Solution Smart Cities

Improving quality of life for tomorrow’s smart citizens

Today, more than half of the world population lives in urban areas, and that proportion is expected to reach 2/3 by end of 2050. Many cities are also challenged by ageing infrastructure, increasing air pollution and traffic congestion, spiralling energy prices and scarcity of natural resources – especially natural gas and water. Cities are becoming smarter, and many are currently experimenting with an array of new technologies to face these challenges. However, cities need a structured approach to better manage existing resources and to make their activities on behalf of their citizens more efficient.

Actility provides a unique LPWAN platform for cities, using the IoT to enable new services like smart parking, waste management, street lighting or air quality control. Building on a dedicated long range low power network for IoT, city authorities can connect countless battery powered « things » into a single network, enabling data collection from parking sensors, air quality monitoring equipment, flood detection sensors or smart meters. The data is then fed to centralized intelligent systems which can make recommendations to optimise city service management.

An easy-to-deploy and cost-effective solution

Actility allows cities to enable various services using a single shared IoT platform rather than existing vertical single-service solutions (eg a dedicated connectivity network for street lighting alone). Based on open technologies like LoRaWAN, a single platform facilitates the deployment, operation and maintenance of smart city projects, and potentially offers an additional service enabler the city can offer to local companies and industries for their own third party applications. The LPWA network is a cost-effective solution which allows cities to have complete control of the network and data with only few base stations.

A wide variety of urban use cases

Actility’s LPWA platform enables various vertical use cases, improving quality of life for citizens and promoting wellness. They include smart parking solutions that allow drivers to easily find free parking spots, avoid congestion and reduce fuel consumption and pollution. Connected street lighting solutions optimise lighting based on local conditions and traffic, reducing electricity consumption; connected waste bins help authorities manage refuse collection to be more efficient and effective; air quality sensors help to prevent pollution spikes when linked to traffic management and routing systems. Connected sensors bring countless other benefits.

Applications for process optimisation and predictive analytics

City authorities also benefit from a set of high performance Actility applications to help optimise operations, automate processes and manage the huge amount of data generated by a Smart City IoT network. The fully integrated solution uses intelligent algorithms, advanced analytics and machine learning for process modelling, real-time control and predictive maintenance operations.