In 2017, when introducing the development trend of the Internet of Things, three tools were introduced: Gartner technology maturity curve, user threshold and user number curve, CHIP method.
In one of the 2018 IoT development trend series, the following judgments were made through the Gartner technology maturity curve: The Internet of Things has been applied in many fields without knowing it. Today, the user threshold and user number curve are used again to judge the development trend of the Internet of Things.
From the perspective of the community, the high-end community has a tendency to spread to the lower end.
In the field of application, there are also some industries with high thresholds, once popular applications, and the trend toward the relatively low threshold of the industry.
The petrochemical industry is one of the leading industries in the automation industry. The petrochemical industry is divided into three parts: oil production, oil refining and sales. Among them, the refining industry is the highest industry in the petrochemical industry. Therefore, the high level of automation in the petrochemical industry is mainly reflected in the refining segment. In the refinery, basically critical equipment has been connected via bus (or industrial Ethernet) and the device information is transmitted to the central control system (DCS). The refinery's DCS system is actually a local IoT within the refinery.
In the absence of a DCS system, the safety of the equipment in the refinery is monitored by the instrument room staff, patrolling or obtaining data near the equipment to monitor the operating conditions. The DCS system uploads all device data to the central control system, and maintenance personnel monitor the system operation status in the central control room.
With the improvement of the DCS system, in fact, the oil production and sales links also need a management platform to monitor the data of each link. However, the equipment for oil production and sales is too scattered, and the cost of wired connections is too high, which makes this function impossible (high threshold). When the Internet of Things technology is popularized, through the Internet of Things technology, the petrochemical oil production and sales equipment can be connected at a relatively low cost. At this time, more devices will be connected to the network, thereby creating value and increasing the number of connected devices. To reach the extreme (the number of users here refers to the number of device connections), so that the industry network is rapidly popularized.
Therefore, the application of IoT in the oil production and sales links has begun to increase recently. For the petrochemical sales industry, the core is the dangerous goods logistics industry. I remember that in 2012, IBM was promoting smart logistics projects. He once introduced the head of IBM Smart Logistics and the person in charge of Sinopec's sales department. He found that Sinopec's dangerous goods transportation is already leading in practice. In recent years, the Internet of Things in the field of dangerous goods transportation has been widely used.
There is a lot of experience in the petrochemical field that will be applied in other fields. One of the cases I often talk about in the intelligent manufacturing course is the remote monitoring system of the rotating equipment of Shaanxi drum. It is a very typical Internet of Things application. The prototype of the remote monitoring system of Shaanxi Drum Power is a DCS system that is very popular in the petrochemical industry. The remote monitoring system of Shaanxi Drum is actually a wide area network-wide DCS. Later, during the maintenance and repair process, it gradually improved and realized many functions of the Internet of Things.
The petrochemical industry also has a lot of experience in the field of equipment maintenance, such as petrochemical enterprises, the experience of equipment maintenance has become an expert system; and this expert system accesses real-time data of equipment through IoT technology, according to real-time data, and experts Experience keeps the equipment in top working condition. With the accumulation of data, expert experience is too large to automatically accumulate (the original expert experience is completed through expert interviews), thus deriving a tool with expert experience.
The model of the petrochemical industry expert library is now being done by an Internet of Things company in Wuxi that is doing online equipment maintenance.
The same industrial Ethernet is popular in the petrochemical industry, and the experience of industrial Ethernet will be applied by the Internet of Things. For example, the cooperation between OPC UA and TSN in 2017 can be seen as the experience of the Internet of Things borrowing from the advanced field, close to the singularity. , the process of popularization.
Study the development trend of the Internet of Things, to understand the difference between high-end and low-endTrends always spread from the high-end to the low-end. Therefore, when studying the application of the Internet of Things, we must also understand the high-end industry and the low-end industry. The Internet of Things is in the middle of application, and some popular applications in the high-end field can lower the threshold by means of Internet of Things technology, so it will also be popular in the low-end field.
For example, after the popularization of DCS in the refining segment, the oil production link has the need to aggregate equipment data, and this field will be a direction for large-scale application.
Many automation application experiences in the petrochemical industry will be popularized in many other industries through the use of IoT tools.
However, there are no strict restrictions on the high end and the low end. For example, 2C's Internet of Things and 2B's Internet of Things. Technically, the technical threshold for most 2B applications is higher than that for 2C applications. From the business model, 2C's business model is ahead of 2B's business model.
Therefore, when observing the application of the Internet of Things, the transformation of the business model should be based on 2C from 2B; the improvement of technology, 2C should learn from 2B.
Therefore, the distinction between high-end and low-end is not absolute. The distinction between high-end and low-end is based on the leading trend of a certain aspect.
In the process of popularizing Internet of Things applications, some traditionally popular applications, which can be scaled by means of Internet of Things technology, will be the most explicit applications. Dangerous goods logistics, oil production equipment networking, expert systems after equipment networking, equipment supplier equipment networking, etc., these Internet of Things applications will be applied in the near future.
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