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ThingPark X enables IoT network operators to create more value in the data and application layers.
Actility’s ThingPark X platform provides application enablers including data management and storage, and high performance algorithms and predictive analytics for key Industrial IoT domains such as manufacturing, utilities and agriculture. ThingPark X is complemented by a suite of integrated solutions including process modelling, machine learning engines, automated and real-time control algorithms.
Easy-to-implement REST APIs make it straightforward for third-party applications to interface with the ThingPark X data management system, enabling operators, device and application developers to support different M2M devices from various suppliers.
ThingPark X also delivers a comprehensive standardised platform focused on data analysis, response and actions (e.g. alerting, charging, and monitoring applications). Operators deploying ThingPark X benefit from a high availability platform with publication and subscribe-notify mechanisms, allowing developers to design multiple applications to interact with LoRaWAN™ devices through the same real-time APIs.
ThingPark can handle massive amounts of data, performing key features like quota management and automatic secure open data mediation. This function simplifies M2M application development, allowing clients to concentrate on data analysis and representation capabilities rather than storage management.
Third-party application developers can easily interface with the ThingPark OS data management engine through connectors dedicated to specific external IoT cloud services, including Amazon Web Services, Microsoft Azure and IBM Bluemix. ThingPark X also makes it possible for multiple application protocols like KNX, WMBus or ZCL to be carried over a LoRaWAN network with a single data storage and access mechanism.
ThingPark X helps industrial process managers make informed decisions by collecting key information on asset utilisation and health status, and leveraging the predictive models developed for specific end-to-end LPWA solutions. Leveraging data collected from LPWA networks, ThingPark X provides predictive models for major industrial processes: for example, helping utilities develop in-depth insights based on the analysis of real-time information collected from fault management modules.
ThingPark X includes real-time high-performance algorithms able to control millions of end-points and respond to network and market events with sub-second response time. ThingPark X large scale aggregation platforms are used today by Energy DSOs and TSOs to help control power consumption in real time.