Internet of Things (IoT)
We believe Internet of Things (IoT) and Industrial Internet of Things (IIoT) are the next big things in the near future. HECO has gone a step further by embedding a complete Supervisory Control and Data Acquisition (SCADA) system that results in increased reliability, reduce operation costs, improve worker safety and greater customer satisfaction.
Our IoT solutions are designed to run efficiently on microcomputers such as Raspberry Pi. Written in C, the code requires such low levels of CPU power and memory that it allows for extra resources for OEMs to customise their own gateway. As such, our solutions are available across to all potential IoT and IIoT markets.
The advent of Internet of Things (IoT) & Industrial IoT (IIoT) has transformation effects on the society and the industry, its customers, technology providers, technologies, as well as sales and marketing models. According to Gartner Inc., one of the fundamental building blocks of both the IoT and IIoT is Cloud Computing, which refers to the delivery of on-demand computing services; typically, over the internet and on a pay-as-you-go basis. Companies are able to subscribe to applications/storages from a cloud service provider without spending for the cloud setup themselves.
But cloud computing has substantial problems when it comes to industrial control – latency (the time it takes data to get through the cloud) and the sheer transmission volume of data to the cloud service. To mitigate these issues Fog Computing was conceived. Just as IIoT relates to IoT, Fog Computing relates to Cloud Computing and all must exist in the same complex ecosystem. For both Fog Computing and Cloud Computing there is the concept of a gateway.
A gateway is a physical device or software program that serves as the connection point between the cloud and controllers, sensors and intelligent devices. All data moving to the cloud, or vice versa, goes through the gateway. IoT Gateways marshals the data from IoT endpoints (sensors etc.) into or out of the cloud. But in Fog Computing, more intelligence is needed; it’s able to perform processing close to the source and provide preliminary analytics within the Fog gateway.