where will the industrial Internet of Things go 2022?
Время обновления: 2021-12-21 16:08:09
The application of IoT technology under the epidemic has greatly reduced the risk of human-to-human transmission, and under the wave of 5G, the development of IoT is even more rapid, so in 2022, where will the industrial IoT go?
New infrastructure refers to the development of infrastructure construction at the science and technology end, mainly including 5G base station construction, intercity high-speed railroad and urban rail transportation, new energy vehicle charging pile, big data center, artificial intelligence, industrial Internet and other fields.
The new infrastructure is mainly reflected in: first, to provide infrastructure for 5G, artificial intelligence, big data, cloud computing and other information economy; second, electronic, intelligent transformation of traditional infrastructure; third, the development of new energy, new materials supporting the application of facilities; fourth, intercity high-speed railroads and other complementary short board infrastructure.
The Internet of Things is an important part of the "new infrastructure", in the "new infrastructure" of the seven areas, 5G, big data center, industrial Internet, artificial intelligence and the Internet of Things has a strong correlation, while energy infrastructure, transportation infrastructure also need to IoT IoT technology is also needed for energy infrastructure and transportation infrastructure. The layout and construction of "new infrastructure" will definitely bring new development opportunities for IoT and its related industries.
Using Digital Twins
Twenty-four percent of companies implementing IoT solutions are already using digital twins to improve security and efficiency - and according to Gartner, that number will continue to climb.
Digital twins are virtual copies of physical entities, often connected to physical entities in real time. In manufacturing, digital twins support many Industry 4.0 solutions ranging from automated root cause analysis to quality prediction, predictive maintenance, inventory intelligence and supply chain optimization.
Digital twins are most commonly used in the areas of design, modeling and simulation, and are becoming a trendy buzzword in 2018.
These "complete" digital twins will integrate process data and help manufacturers gain more accurate insights, whether it's diving into individual machines or looking at advanced process architectures to identify and address manufacturing inefficiencies.
By 2022, IoT sensors and devices will generate more than 60 billion pieces of data.
Manufacturers are already collecting data, but managing it through the cloud puts a financial strain on manufacturers - not to mention the security risks of storing all the raw data in the cloud.
Cloud computing helps companies reduce the time and expense associated with data analysis and improve data security by analyzing and storing data close to the source.
Cloud computing also reduces the cost of cloud data storage, while limiting the raw production data sent to the cloud reduces data security risks.
We are seeing an increasing deployment of industrial IoT solutions that are digitally revolutionizing the manufacturing landscape - transforming customer relationships, differentiating products and driving large-scale operational improvements to meet growing production demands.