InfiConnector
A middleware that is installed on a range of gateways and connects equipment to InfiIoT and popular Internet of Things(IoT) or Industrial Internet of Things (IIoT) clouds. It securely connects various devices (e.g., PV panels, battery energy storage, HVACs, EV stations, compressors, and boilers) through industrial protocols (Modbus, OPC UA, BACnet) and cellular networks (LTE and 5G). InfiConnector is configurable from cloud services to collect data from devices and sensors and prepare data for data analysis and Artificial Intelligence (AI) cloud applications.
InfiConnector provides a code-less edge computing and rule engine interface that configures any machine to machine, diagnostic, alerting, and log management services in a few minutes.
The light middleware requires 512MB RAM, 1 core CPU, and 16GB disk. It is compatible with Ubuntu 20.04 and upper.
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ICONICS IoT
Make your HMI/SCADA platform more accessible and efficient with the power of IoT. The Internet of Things (IoT) sees the world in a smart, interconnected way. Its vision is to connect assets, or “things”, to a larger IoT software system, or network of systems that make up a smart grid. These “things” retain the capability of actuation, control, automation and autonomous operation. The unification of devices results in vast amounts of data being collected, which empowers users with more opportunities than ever. ICONICS’ SCADA with IoT collects this data and provides the operator with a new layer of actionable intelligence. ICONICS IoT connects your buildings, facilities, and equipment through secure TLS encryption and Microsoft Azure. Your data in the cloud can be accessed from anywhere through pub/sub architecture for real-time visualization of KPI data at the edge. We deliver an efficient, secure connection to the cloud through bi-directional AMQP for Microsoft Azure.
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AWS IoT Analytics
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.
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HyperConnect
HyperConnect is an enterprise-grade, open source Internet-of-Things framework that utilizes the Elastos Peer-to-Peer Carrier Network to route network traffic between IoT devices. The modular architecture provides a solid base for any industry vertical in the Internet-of-Things. Communication, data transfer and storage are vital elements of the Internet of Things. Obtain relevant metrics, recognize patterns and understand data by placing it in a visual context. Create, manage and validate python scripts on a low-level for sensors with the built-in compiler. Collect data in real-time from multiple inputs and produce meaningful information automatically. Manage and monitor multiple devices and sensors locally or remotely in a simple and secure manner. The Graphical User Interface (GUI) allows maximum flexibility with no, or minimal, coding. Secure peer-to-peer communication for the entire Internet-of-Things network, so you can own your data.
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