AIoT launches smart gateway market edge computing to create Taiwan business opportunities

Edge computing will become an important design trend of the Internet of Things architecture. Lin Yingda, a professor of Jiaotong University, pointed out that Taiwan's gateway manufacturers can enhance the value of products through the added value of AI, and get rid of the low-margin fate of mass production standards in the past.

Since the end of 2016, there has been a new wave of AI in the world. In the past, AI had two obvious developments. However, due to the limitations of software and hardware technology at that time, it could not be commercialized. Finally, it returned to the academic field. In comparison, the AI ​​that has come back this time, the hardware and software technology developed by the technology industry for more than a decade, is expected to be implemented.

AIoT launches smart gateway market Edge computing creates Taiwan business opportunities

Lin Yingda, a special professor of the Department of Information Engineering at Jiaotong University, pointed out that AI will be closely integrated with the Internet of Things in terms of current development. The IoT structure includes the underlying sensing, the middle layer transmission, and the upper layer cloud. The architecture operates in such a way that the underlying sensor extracts the device data and transmits the information to the middle gateway, the gate or the wireless transmission. After collecting the data, the data is sent to the cloud platform for storage, analysis, and application. This kind of practice is enough for IoT systems with few sensor nodes or low real-time requirements. However, if the number of nodes is large, the burden of the back-end computing platform will be too high, and the data transmission cost will be Heavy load; in the case of manufacturing, medical and other systems that require extremely high real-time performance, this centralized operation method will not be able to respond to the response speed requirements of the terminal equipment.

Therefore, the IT industry proposed the concept of edge computing in the late stage, which is to give the first layer of the IoT or the second layer of communication transmission equipment a certain degree of computing functions. Edge computing can avoid all data being transmitted upwards. To the cloud, reduce the workload of the cloud processing platform and data transmission costs, and secondly, it can also respond to the needs of the underlying devices in real time, so that the overall system can run faster.

Lin Yingda said that edge computing will be an important trend in the future of the Internet of Things architecture. The role of terminal devices and gateways will also change, and this will be a challenge for Taiwanese manufacturers. In terms of gateways, there will be three types of gateways for the future Internet of Things. The first one is only the transmission function. This standard type of gateway has a large quantity but the price is low. The second type is a gateway with arithmetic functions. This type of product needs to be designed for the application field, the price will be higher than the transmission function only; the last one is the AI-enabled gateway device.

IoT intelligence AI will be the key

If edge computing is the design trend of the Internet of Things, AI is the soul of the Internet of Things. With the blessing of AI, the Internet of Things can truly be labeled as "intelligent". In the future architecture of the Internet of Things, not only the cloud The brain of the platform needs AI, some terminal or network layer devices, and AI is also needed.

The AI ​​with learning ability can comprehensively enhance the benefits of the Internet of Things. Take the manufacturing system as an example. The general IoT architecture manufacturing system will transfer the acquired manufacturing equipment data to the back end, and the back-end system will concentrate on the big data. In order to develop the best production strategy; but the Internet of Things with edge computing design will process the data in the gateway first, in addition to the data to the back end, it will also be simple control at the front end. The AI ​​function gateway, in addition to transmitting and computing data, analyzes the acquired data, learns from it, continuously adjusts the equipment running program to optimize it, and also provides the most intuitive to the operator in response to the site conditions. Handle suggestions.

Lin Yingda pointed out that the application of AI in the Internet of Things has become an established trend. Although Taiwanese manufacturers used to have huge shipments in the IT field, the market value is relatively low. From the past PCs to the current mobile phones, the main profits are This situation has also been possible in the IoT market, because the AI ​​market in the cloud platform of the IoT architecture is still based on global companies such as Europe and the United States. The trend of edge computing has started. The medium and low-end devices of the gateway have always been Taiwan's strengths. Taiwanese manufacturers can gain market advantages through the achievements of this type of terminal equipment in the past, and enhance the value of products through AI design. In the past, low-margin manufacturing fate.

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