iot区块链 边缘计算,区块链 边缘计算

近年来，随着物联网技术的发展，物联网技术的应用越来越广泛，IoT区块链边缘计算也越来越重要。

IoT区块链边缘计算是一种利用区块链技术和边缘计算技术，将物联网设备终端的计算能力和存储能力与区块链技术相结合，实现设备终端数据的安全存储与可靠传输，以及智能合约的实现，从而推动物联网的发展。

IoT区块链边缘计算的优势在于，它可以改善物联网的安全性，使物联网的数据存储更加安全可靠，防止数据泄露和攻击；同时，它还可以提高物联网的数据处理能力，使物联网设备更加智能，实现自动化管理，提高物联网的可靠性。

此外，IoT区块链边缘计算还可以改善物联网的数据传输效率，使物联网设备之间的通信更加高效；同时，它还可以改善物联网的计算能力，使物联网设备更加智能，实现更加智能化的管理。

总之，IoT区块链边缘计算是一种可以提高物联网安全性、可靠性和效率的技术，是物联网发展的重要技术，也是未来发展的趋势。

(i) Edge computing does not belong to the five ABCDE new technologies

Edge computing does not belong to the five ABCDE new technologies.
ABCDE (AI, Block Chain, Cloud Computing, Data Tech, Edge Computing) - artificial intelligence, blockchain, cloud computing, data technology and edge computing. They represent the most advanced and practical technological productivity, reshaping every aspect of people's life, work and study.
Edge computing is an important supplement to cloud computing and the key to the evolution of various terminal capabilities to support innovative applications. Currently, security monitoring, autonomous driving, intelligent manufacturing, etc. are common scenarios for edge computing. These scenarios require strong computing power within limited space and power consumption to achieve endless innovative functions, such as full automation and intelligence. Move forward. At the same time, edge computing is closely related to the Internet of Things, and advanced edge computing technology can make the IoT more intelligent and powerful.

㈡ What is edge computing and what fields can this technology be applied in?

Edge computing is the distribution of network, computing, storage and application core capabilities closest to the objects or data sources in the network. An open platform that provides edge intelligence services nearby. Providing services on the edge of the network closer to the terminal is the biggest feature of edge computing, and it has become a powerful supplement to cloud computing in terms of timeliness and effectiveness of data processing.

Based on years of edge computing scenario exploration and implementation practice, edge computing has shown two obvious development trends. The first trend is edge empowerment. To refine it, it is called "X + edge", where X represents various industries, that is, edge computing empowers all walks of life. There are large-scale implementation cases in automobiles, construction, bridges and tunnels, logistics, finance, mobile, communications, CDN, agriculture, animal husbandry, AGV, robots, drones, industry, Internet of Things, etc.

The second trend is the cross-domain integration of edge computing. To refine it, it is called "edge + X", where X represents other emerging technology fields, such as the familiar artificial intelligence, as well as blockchain, privacy computing and other technologies. We have encountered more and more integration scenarios in these aspects during the implementation process.

Generally speaking, the current form of edge computing is a runtime, and new scenarios, cross-domain integration and other technical challenges are constantly being proposed, including offloading tasks at the edge and handling centralized chain collaboration. Fields such as robotics still face considerable challenges.

㈢ What is AIoT? AI+IoT solution

The full English name of AloT is "Artificial Intelligence & Internet of Things", which broadly refers to the practical application of artificial intelligence technology and the Internet of Things. However, with the arrival of the 5G wave, the connotation of "AloT" has become increasingly rich. AIoT is not simply AI+IoT, but shouldUse technologies such as artificial intelligence and the Internet of Things, with big data and cloud computing as the basic support, semiconductors as the algorithm carrier, network security technology as the implementation guarantee, and 5G as the catalyst to integrate data, knowledge and intelligence.
Emerging technologies such as 5G and AI broke out in full force in 2019, allowing more and more application scenarios such as autonomous driving, urban brains, AI elderly care, and medical imaging to step down from the altar and enter our lives. 5G has the characteristics of high speed, large capacity, and low latency, and brings a more efficient information transmission channel to the Internet of Things (IoT). Rural areas and other fields have broad prospects. The blessing of AI technology provides smarter information collection portals and richer application scenarios for IoT. AI can bring a relatively isolated device into the scenario, which can greatly improve the response space of IoT.

㈣ What is edge computing and what are its benefits

What is edge computing
Before explaining edge computing, we first study a strange creature on the earth-the octopus . Some researchers lamented, "Octopuses are like alien creatures." This is because octopuses have many differences from other animals. An obvious feature is that 60% of the neurons are distributed on the eight legs. The distributed method of one brain + multiple cerebellum makes the octopus move extremely sensitively when hunting.
Edge computing is very similar to how octopus neurons are distributed. It can provide cloud services and IT environment services to application developers and service providers at the edge of the network. The goal is to provide computing, storage and network bandwidth close to data input or users
A technology is often born to solve a certain problem, and edge computing is the same. Under the traditional cloud computing model, there are problems such as high latency, network instability, and low bandwidth. If some or all of the processing programs are moved to a location closer to the user, these problems can be solved and data transmission efficiency and stability can be improved.

What can edge computing do?
With the development of the Internet, the amount of data is increasing. It is obviously unrealistic to transmit massive amounts of data to cloud computing centers and generate decisions. At this time, edge computing can reflect its advantages. Data no longer needs to be transmitted to remote clouds and can be solved at the edge.
Typical application areas of edge computing: CDN, Internet of Things (Internet of Vehicles), and blockchain.