STAN Systems achieves simple, speedy, and powerful edge computing

[Nabanita1]

STAN  Systems  develops  a  wide  range of ICT business solutions, focusing on systems integration and is especially dedicated  to  providing  system  solutions to corporations in its local Shikoku region of Japan. One of these is the Tokushima Prefecture. With the regional expansion of  Internet of Things  (IoT), Tokushima Prefecture launched the Tokushima IoT Promotion Network in 2018. This is a data sharing foundation that saves and organizes data acquired from various sensors in one batch, and is open for free to corporations, municipalities, and universities in the prefecture.

According to Atsushi Manabe, COO, STAN Systems Corporation, “Systems that prepare and analyze large volumes of data at industrial sites require  affordable  cost,  speed,  flexibility,  and  high  durability.  HPE  Edgeline GL20 fulfills all of these requirements and is an optimum gateway for getting to know your worksite inside and out”.

STAN Systems has been conducting a Smart Plant demonstration experiment using Light Emitting Diodes (LED). Temperature sensors,  humidity  sensors,  CO2  sensors, moisture  sensors,  pH  sensors,  conductivity sensors, LED light devices, and web cameras are installed in the factory and cultivation-related data from each of the devices is automatically collected and analyzed. In one demonstration experiment to grow strawberries from seeds, it was possible to shorten the normal harvest time by 1.4  months. Also, in co-operation with Shikoku University, the Smart Plant was used to grow indigo leaves which are used  in  dyes.

“The indigo plant is a specialty of Tokushima. We selected this product because there is a lot of attention on Japan Blue for the upcoming 2020 Tokyo Olympics, and this attention will only increase from a health perspective as well, due to the uses of indigo dye. “The Smart Plant achieves stable plant production utilizing IoT and we believe it will become a critical solution in the future of agriculture”, explains  Manabe.

STAN Systems needed a system that would cope with rapid data acquisition using the edge, which is suitable for an industrial environment. The solution needed to be highly cost-effective and easy for most corporations and groups to implement and any device had to be installed quickly and instantly available for use. The problem was that traditional edge computing would not generally fulfill these criteria. This means that if the system expansion advances, it will be possible to quickly analyze the data acquired by GL20 and integrate Artificial Intelligence  (AI) to deepen the analysis further. Among the HPE Edgeline product line, the Gateway type GL series is equipped with a high-performance CPU that has never been used in gateways in the past, dramatically improving data processing performance at the edge. Similarly, the EL series is equipped with server grade performance, functions, and environmental resistance not seen in other edge computers and they are proof of the strong HPE commitment, which underlines the importance of edge  computing.

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Nabanita Maji
Hewlett Packard Enterprise

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