The concept of the Internet of Things has been around for nearly 10 years. However, although the market has not experienced explosive growth as predicted by the industry and research institutes, it has continued to rise slowly. In the past two years, the IT industry has experienced an AI boom. Market participants believe that AI will be connected with the Internet of Things. Integrate to create more smart applications. Wu Baiyuan, the solution and integration manager of American AMI system, agrees with this view. He pointed out that the huge amount of information on the Internet of Things will provide enough data for AI to analyze more intelligent judgments and assist system management. Improve operational efficiency.
For the operation method of AI and IoT integration, Wu Baiyuan believes that it will be different from the current IoT architecture. In his "AMvivIoT-A Cloud-based IoT firmware development ecosystem" speech, he said that the way the Internet of Things works is to transfer the data captured by the underlying sensors to the centralized computing practices of the upper-level cloud platform, but if the system is huge First, the amount of data captured at the bottom will make the cloud system difficult to load. In addition, not all data is required for AI operation. Finally, if the network fault data cannot be uploaded, the overall system may be shut down. Wu Baiyuan pointed out that if Updating the behavior pattern data found in the cloud through the AI ​​to the terminal device will reduce the above problem and also make the underlying device extend more meaning.
Taking smart care as an example, he pointed out that under the smart medical system, future care organizations will allow caregivers to wear traceable wearable devices. This type of equipment not only allows medical personnel to grasp the position of the caregiver in the hospital, but now It can detect the body posture of an accident such as a fall. In the past, the Internet of Things method was to transmit all the information to the upper layer, and then notify the on-site personnel to handle the abnormality. If the data is stored in the firmware of the field device, if there is a condition. It is not necessary to be commanded by the upper system, and the on-site personnel will be able to deal with it immediately, which not only reduces the burden on the central computing platform, but also simultaneously improves the operating efficiency of the system. In addition to medical treatment, other fields such as manufacturing and transportation systems are quite suitable.
However, if the above-mentioned system is to be successfully built, it is necessary for all the manufacturers in the industry chain to work together. Wu Baiyuan pointed out that the problem now is that the ecosystem of the market has not yet been perfected. Most of the manufacturers have developed independently and are unwilling to disclose them. In the case of opaque information, many constructions have been repeatedly invested, resulting in waste of resources.
Therefore, Wu Baiyuan said that the cloud platform ecosystem will contribute to the development of the Internet of Things. He pointed out that the AMI vivIoT platform of the American company Anmai pointed out that under this platform, the information of the ecosystem midfield will be transparent. Resources can be used interchangeably, without having to re-build the infrastructure, you can focus on your own professional R & D, and companies do not have to build a specific system to purchase high-priced equipment, as long as the general PC can be connected to the cloud to start operations, and information Stored in the cloud, the work content can be fully passed without having to relearn. Wu Baiyuan finally pointed out that Taiwan's small and medium-sized enterprises have limited resources, and the cloud ecosystem can integrate resources, and at the same time, the cooperation between enterprises is closer, and the competitiveness of the Internet of Things is strengthened.
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