Blockchain + Weather? Worth Imagining
Blockchain technology, as an underlying computer technology that has received increasing attention from the rise of Bitcoin, is undergoing vigorous development in various fields of application research. The opportunities and challenges that blockchain technology may bring to the development of the meteorological industry have also attracted much attention. What about blockchain + weather?
Broadly speaking, blockchain technology is a new type of distributed infrastructure and computing paradigm using blockchain data structures to verify and store data, distributed node consensus algorithms to generate and update data, cryptography to ensure the security of data transmission and access, and smart contracts consisting of automated script code to program and manipulate data.
Through a decentralized distributed structure, immutable time stamps, secure trust mechanisms, and flexible programmability, blockchain technology gains technical features such as decentralization, data traceability, information tamper resistance, and high reliability.
The application scenarios of blockchain technology involve financial services, supply chain management, entertainment, intelligent manufacturing, social welfare, education, employment and so on. The application scenarios in the meteorological field are roughly as follows:
On the topic of dealing with climate change, blockchain technology is considered to be able to effectively solve the problem of trust among various countries and organizations in the fields of climate change and environmental protection.
In terms of data transactions, the source and accuracy of weather data is always a hard nut to crack. Blockchain traceability and immutability can greatly reduce the risk of applying meteorological data and products.
In terms of meteorological insurance services, agricultural planting, urban transportation and building facilities are all faced with meteorological disaster risks. Meteorological insurance can reduce the economic losses caused by meteorological disasters. Blockchain also plays a certain role in obtaining evidence and getting payment processes much easier and faster in meteorological insurance.
In addition, in the maintenance of meteorological equipment, the high autonomy and data security characteristics of the blockchain technology are used to connect the equipment operation and maintenance and intelligent observation equipment to the blockchain network. At the same time, I learned that the entire process of record maintenance ensures that the information is consistent and cannot be rewritten. Changes are made to the internal "serial" business processes. The response speed is reduced, and the management cost can be reduced.
In addition, in the maintenance of meteorological equipment, all parties to the equipment operation and maintenance and intelligent observation equipment are connected to the blockchain network. With the feature of high autonomy and security, all the parties could be informed of equipment failure and all the entire process of maintenance could be recorded on the chain, which makes all the info consistent and cannot be tampered with. Compared with the current “serial” business processes of all parties, the application of blockchain in the maintenance of meteorological equipment make the response faster and the management cost lower.
Regard of the release of meteorological warning information, the tamper-resistant, traceable and safe characteristics of the blockchain technology can well solve the existing problems of meteorological warning information release.
The current application examples of blockchain technology in the meteorological field are mostly related to financial services. In the future, the development of the meteorological industry will become more diversified and deeply integrated in various fields. In addition, blockchain technology can ensure that data is not tampered with, but it cannot guarantee the authenticity and quality of the data entering the blockchain. Blockchain technology may be able to effectively integrate social meteorological observation data, but problems such as the lack of standard social meteorological detection equipment and low-quality-collected data have become technical application difficulties.