Looking forward to the third wave of digital revolution, 360 lines are actively promoting digital transformation. It is conceivable that the impact of this tsunami on the world economy and social civilization is no less than that of the previous wave of people's Internet; so regardless of the old or new startups The pledge to grab the Internet of Things business opportunity, the reason is here, only because of the difference between the Internet of Things and the Internet of People
From 1985 to 1999, it was a period of booming PCs and the Internet. For us, it was also a beautiful time for economic take-off. At the time, America Online's founder, Steve Case, was one of the most influential figures; even though he is not an industry leader, he is still enthusiastic through the book "The Third Wave Digital Revolution." Resounding, once again become the focus.
Steve Case has set the App Economy and Mobile Revolution from 2000 to 2015 to the second wave of digital revolution. The driving factor is the “People's Networkâ€, which generates huge business opportunities through people's 24 hours a day. However, the third wave of digital revolutions centered on the Internet of Things (IoT) will lead to a major transformation of the physical industry through ubiquitous connectivity, and the impact will be greater than the Shangbo revolution.
In order to successfully create an Internet of Things business, there must be no shortage of technical elements.Advantech technical officer Yang Ruixiang said that looking forward to the third wave of digital revolution, 360 lines are actively promoting digital transformation. It is conceivable that the impact of this tsunami on the world economy and social civilization is no less than the last wave of people's Internet era; Regardless of whether the veteran or startup company has vowed to attack the Internet of Things business opportunities, the reason is that the difference between the Internet of Things and the Internet of People is that the former comprehensively collects information on people, equipment and the environment, and has a wider dimension and an imaginative space of value. Bigger.
Despite the promising prospects of the Internet of Things, the boss of a Chinese chain group has frankly struggled to work hard. Even if he has mastered the profound industrial knowledge, he still lacks sufficient technical and energy support, which leads to the inability to display and makes some good commercial ideas difficult to land. achieve. This sigh, invisible in the Internet of Things is indispensable for the victory equation, that is, industrial knowledge, technology, innovation, the three have a companion relationship, the lack of any one can not be formed.
Since the Internet of Things is inseparable from technology, what is the technical architecture it needs? From the bottom all the way up, the bottom is the sensing layer, the temperature, humidity, vibration, speed, positioning and so on a wide range of sensors to take the corner, responsible for collecting physical or environmental information of the front-end objects (Things).
According to most people's perception, the data collected by the IoT sensor will be uploaded to the cloud via wired or wireless networks (especially wireless), and subsequent storage, calculation and analysis will be performed, even if there is no shortage of such running modes in reality, but not Suitable for most situations.
In a nutshell, the intention is to truly convert the field data into valuable information. In the middle, it is necessary to have some processing procedures. The cloud-based SaaS platform may not be able to support the overall situation in one step, and the processing procedures of these mediators cannot be ignored. The key point.
Edge intelligence, intermediary bridge between the ground and the cloudThe aforementioned intermediary technology elements, collectively referred to as Edge Intelligence, are roughly the IoT gateways that people understand, but they contain many IoT software and hardware integration solutions, and the richness of the content has transcended the meaning interpretation of the gateway level; In terms of Advantech's line of edge intelligence products, it covers ultra-thin and streamlined computers, embedded fanless computers, IoT development tools, and WISE-PaaS software suites.
In short, the main task of edge intelligence is to connect the lower-layer front-end devices and upper-layer processing applications, relieve the burden and pressure of the SaaS cloud platform, and perform pre-processing such as data format conversion, data statistics, logic flow development and integration. Then through the WISE-Agent in the WISE-PaaS platform responsible for communication services, assist in the implementation of automatic cloud connection, and accurately transfer the information of the underlying device that has gone to the upper cloud platform for mechanical learning, data visualization or data analysis and prediction. And so on; from this point of view, WISE-PaaS seems to be an important interface across the virtual (cloud), real (object) boundary.
Even from the perspective of the IoT technology structure, the key elements are not only sensors, networks, gateways, PaaS, SaaS, etc., but the link relationship between these projects often has a high technical content, and it is not a threshold. Low, no wonder that the boss of a major Chinese chain group mentioned above, I feel that the Internet of Things is not an easy task, that is, as long as it is put into practice, it will find that there are many technical bottlenecks in it, which is enough to get stuck in the whole business process. The operation, but helpless to find technical talents to break through these bottlenecks, is not easy.
What are the technical obstacles? Advantech's Intelligent Netcom Business Group associate Qiu Jianqing, a basic example of the underlying, well-known IoT architecture contains two key components, such as sensors and wireless communications. In fact, they belong to two distinct industries and are not familiar with each other. .
Therefore, the process of collecting data by sensors and uploading them through the wireless network may be hindered by the inability to integrate the two technologies. Fortunately, Advantech has come forward from the third-party technology platform to promote the M2.COM standard. And provide relevant development kits, so that sensors and wireless communication on both sides can prevent dialogue and accelerate the growth of the Internet of Things industry.
"Only when we start to do the right information collection, we have follow-up development," Qiu Jianqing believes that the emergence of M2.COM will definitely help to make the future of the Internet of Things innovation story.
As for the wireless transmission technology, because the variety of technologies and the applicable scenarios are different, it is more complicated. Basically, the key measurement indicators are nothing more than the transmission speed, network coverage, and cost.
Wireless networks can be roughly divided into two major structures: star-shaped and mesh-shaped. The former includes well-known 3G, LTE, Wi-Fi, etc., as well as LoRa, NB-IoT, SigFox, etc., which are being discussed more and more. Etc., while the star-shaped architecture is most typical of Bluetooth and ZigBee.
The corresponding relationship between the aforementioned technical items and the application requirements has a basic context, for example, a scene requiring a higher transmission speed, which is suitable for selecting Wi-Fi; a device that is expected to be used for a long time without frequent charging or battery replacement, depending on the actual situation Projects such as BLE, ZigBee, LoRa and SigFox are selected as suitable targets; if you want to carry out long-distance wireless transmission over 1 km, including Sub-1G and LoRa (the latter can support 15 km long-distance transmission), it is worth considering. Option.
In summary, due to the promotion of the Internet of Things innovation industry, involving the three major elements of industrial knowledge, technology, and innovation, it is obvious that its path to success is very different from the first and second wave digital revolutions. The final winner may no longer be a single big company or a startup that specializes in a particular specialty, but a co-creation team that assembles three elements, and in the process of working together, like Advantech’s third-party technology. The role of the platform is particularly important.
Combine edge computing to improve economic efficiencyQu Zhonghe, senior manager of Amazon Internet Services (AWS), pointed out that the value of the Internet of Things must go through the intelligence, model, and mobile (AcTIon) trilogy to ensure the success of the three stories. There must be a series of story situations behind it must be established.
As the basic structure described by Advantech, the data is collected by sensors, and then the cloud is uploaded through the gateway, thereby connecting the ground things to the cloud, and making good use of various value-added tools such as big data analysis, artificial intelligence, and database on the cloud platform. Quickly generate high-valued Intelligence.
In fact, in addition to the above-mentioned series of links, there are three very valuable links that may conflict with the IoT value chain that most people perceive. They are physical, economic (cost) and regulations. For example, in the physical part, no matter how much people expect new high-speed communication technologies such as 5G, they are not optimistic that wireless communication will never be interrupted.
If everything depends on the cloud to form intelligence, once the network is disconnected, there will be no small out-of-order turmoil; in addition, regardless of whether the specific industry has a clear limit on whether the data can go up to the cloud, even if there is no limit All the networked sensing data is sent to the cloud, which will inevitably generate huge online and storage costs, which is not economical.
In order to solve the aforementioned worries, AWS proposes AWS Greengrass service for edge computing. If users deploy this in an industrial computer or gateway such as Advantech, they can enjoy the same function as the cloud on the ground. According to the site conditions, the conditional judgment and event trigger can be directly performed according to the site conditions. There is no need to rely on the cloud to gain intelligence, thus significantly reducing storage transmission and storage costs. More importantly, Greengrass can support offline operations without fear of intelligent decision-making mechanisms being shut down due to a break.
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