For our customers, Energy IoT means a set of ready-to-use features that streamline fast development applications for connected devices, and that ensure scalability and cross-device compatibility.
Hardware linked within an Energy IoT reacts instantly to user applications (or other devices), and the platform manages all interactions between the hardware and various application layers. This means users can manage vast arrays of systems within a simple, intuitive interface.
Some of an Energy IoT’s primary tasks include data collection from multiple devices over different protocols and network topologies, remote device configuration and control, device management, and over-the-air firmware updates.
Useful Energy IoT are expected to support integration with as many sensors and devices as possible, while still providing a standardized API for higher-level applications (ERP, MDM, Billing, etc.). Iskraemeco uses Energy IoT to facilitate the development of a tailored solution for our customers.
Analytics – Tools to statistically analyze data and inform decisions, and to extrapolate new information for use in higher-level applications.
Open API – An open and standardized approach to transmitting and receiving data (SOAP, CIM, XMP, REST, MQTT, etc.)
Device Management – Commissioning, deployment, firmware updates, de-commissioning, device resource management
Robustness – Enterprise system architecture (High availability, redundancy, disaster recovery, virtualization, cloud deployments)
Identity Management – Tools and processes for authentication and authorization, and for granting access to systems when conditions are met
Data streams – Receiving and delivering arrays of data through the interconnected systems
Open Communication – Network and protocol agnostic (G3PLC, RF, GSM, GPRS, LTE, NB-IoT, G5, RS485, Cascade, DLMS/Cosem, 1107, MQTT, SOAP, LwM2M, etc.)
Iskraemeco’s Energy IoT goes further and introduces a variety of valuable features to the hardware and application layers. It provides components for frontend and analytics, on-device data processing, and cloud-based deployment.