![<?echo $_SERVER['SERVER_NAME'];?>](/template/twentyseventeen/skin/images/header.jpg)
Blockchain, Bitcoin, and Ethereum are all popular in 2017. However, the popularity of such popular technology is sure to find the most suitable application. The great development of the Internet of Things and AI technology seems to have a natural fit with the blockchain.
The Internet of Things is actually an extension of the Internet. The essence is the Internet, but the terminal is not a specific computer, it may be an embedded computer system, or a supporting sensor. As long as there is hardware or product data connected to the Internet, and data interaction occurs, it can be called the Internet of Things.
In fact, AI technology and the Internet of Things itself are not a dimension. AI can find out predictive insights for the future based on a large amount of historical data and real-time observations. Data is more important for artificial intelligence than data models.
Having said that, what is the relationship with the blockchain?
Data transaction needs
Some of the data generated by various sensors is required by the data owner, but a considerable portion is not required by the data owner, or there is no data to be planned for a short period of time.
This can be derived from economics, and data owners can desensitize this part of the data and share it with researchers or data miners. On the one hand, it can solve the problem of waste of data, on the other hand, the income generated can compensate the cost in the process of data construction, and even produce objective profits. So the question is coming? How to confirm the data, track the direction of use of the data, and how to effectively receive the relevant income? These parts have exceeded the technical scope of the IoT industry itself.
The introduction of the blockchain can just solve these pain points.
The development of the blockchain from the initial generation of bitcoin, to the current Ether Square in the blockchain 2.0 era, smart contracts, and even a large number of other related blockchain technologies currently on the market, can solve the data from different aspects. The right to use, track the use of data, and receive revenue from data transactions based on smart contracts.
Data security needs
In addition to the use of blockchain technology in data transactions, another important application area is the technical experience and practice of strong security. The current hackers have proven that they can completely take over Tesla's assisted driving system. It is no exaggeration to say that the data security of artificial intelligence systems has become a matter of life and death. Once this system that does not require human intervention is invaded by malicious elements, the result is likely to be a disaster accompanied by a large number of casualties. Such areas include smart homes, smart medical devices, smart transportation, smart cities, and more.
The scalable, secure, and easy-to-audit data platform created by the blockchain seems to be an important means of addressing data security at this stage.
Industry famous enterprise case
Let's analyze the recent emergence of a large number of IoT and blockchain combinations:
Porsche
At the stage:
---- Currently testing the blockchain application in the car. The company announced that it will be the first major automaker to implement and successfully test blockchain technology in automobiles.
purpose:
---- Faster and safer use of blockchain for data transfer, so that customers can face more charges in the future, parking or need to give third parties, such as parcel delivery agents, temporary access to tools, can enjoy more Peace of mind.
How to use the blockchain:
---- Self-execution and enjoy information about who owns it to solve the trust problem.
The data collected by the car, including the data used for navigation, can be locally encrypted in a decentralized blockchain; this data can then be sold to integrators and other drivers. This data aggregation provides "cluster data" collected by autonomous vehicles and other vehicles and analyzed by artificial intelligence (AI) techniques such as machine learning. Collecting and selling group data, which may include real-time road and traffic conditions, may be a viable business model.
partner company:
The Berlin-based XAIN company is a developer based on blockchain, artificial intelligence and IoT technology solutions with a special focus on smart industry applications. Autonomous machine learning is used to train autonomous vehicles on the basis of local data and further enriched by integrated data and general data such as weather conditions. This can improve autonomous driving in regions such as Europe and Asia, which are not adequately covered in the global solution for training in Silicon Valley.
2. Daimler launched the cryptocurrency MobiCoin,
Reward green driving behavior
At the stage:
----Car owners participate in the experiment. The project started in February and is scheduled to run for three months. 500 Mercedes owners participated in the experiment. Only by obtaining a higher “environmental scoreâ€, they can win MobiCOINs, factors such as smooth acceleration and braking are all considered.
purpose:
The blockchain and its decentralized architecture will open up the business model and provide more possibilities for cooperation between different players in the market.
How to use the blockchain:
The Daimler-issued token is based on blockchain technology and is also the underlying technology of most existing cryptocurrencies.
The vehicle's data is associated with the wallet app, and the driver can exchange tokens for the reward. In order to avoid traffic accidents, the driver will not be able to obtain the score data in real time and will only be able to view it after the end of the trip. Drivers with higher scores can exchange their MobiCOINs for VIP tickets for events such as MercedesCup final or Berlin Fashion Week.
partner company:
----Malottki is also working on the Hyperledger project and is related to the blockchain startup XING. The latter is working with Porsche to test the different features of the blockchain application.
If Porsche became the first brand to use blockchains in cars, then Mercedes-Benz may be the first car brand to deploy cryptocurrencies. In any case, Stuttgart will be the last winner because both companies are in the city. (some content is taken from Babbitt)
3. IBM introduced blockchain truck tracking solutions,
IoT + blockchain to achieve transparent cargo transportation
At the stage:
The solution plan will begin deployment in July. This solution is currently only available in the Colombian market.
purpose:
----- Have the right hardware, software and cloud environment to protect our customers to ensure that the blockchain is secure. We are thinking about how to ensure the safety and the highest level of integrity.
How to use the blockchain:
The truck will be fitted with RFID tags that contain vehicle data, shipper name and product details.
The IoT sensor will track the shipping process and the available space for the truck, as well as record the data on the blockchain for all interested parties to access. This process is usually done manually, is slow and error prone.
“The truck will be sealed with a bar code, and the bar code information will be placed in the blockchain and used as a safety indicator to measure whether the load has changed. In addition, we are considering registering the GPS signal of each car to record the route and increase the number. Trace data.
This solution integrates IBM's Watson IoT system to check for factors such as weather and temperature that can affect travel and estimated delivery times.
partner company:
Columbia Logistics Solutions Provider AOS
UCOAX offers LVDS Assemblies service for oversea customer.
Lvds Cable Assembly,Lvds Cables,Lvds Cable Extension,Lvds Cable Assembly Function
UCOAX , https://www.jsucoax.com