Blockchain traceability system
- yinlian answer:
blockchain can realize the traceability and non tampering of data, because it is based on the distributed database established by cryptographic links, thus forming non tamperable data sources. Therefore, in the whole process of procts from proction to circulation, complete information records can be achieved, and comprehensive data information can be provided for regulatory authorities, so that they can more efficiently complete proct quality inspection and data interconnection and sharing. In this process, blockchain can solve four problems:
first, information can not be tampered, consensus can be reached and trust can be built. In the network node composed of each participant, data records are formed in the business process, and the information of proct logistics, warehousing and proction, including raw material source, processing and assembly, is stored in the blockchain network to provide data information of each link for regulatory departments, cooperative enterprises or institutions
Second, the process is open and transparent. In the process of business process, the proct's anti-counterfeiting and circulation can be realized by implanting an identification chip into the proct and registering it on the blockchain, so that it can have a digital identity, and then record all the information of the digital identity, such as source and flow, through the account book maintained jointly, so as to achieve the verification effect Third, save cost and improve efficiency. Under the condition of confidentiality, the data records on the blockchain are stored, transmitted, verified and analyzed by the regulatory department, and transferred among different departments, so as to achieve unified voucher, whole process record and enterprise credit reference, which can effectively solve the problems of multi-party participation, information fragmentation and repeated audit in circulation Fourthly, information sharing. The circulation of enterprise proct certification depends on the interconnection of public data resources among departments and institutions such as commerce, customs, quality inspection, instry and commerce, banking, etc. under the review environment of blockchain construction, all departments can obtain information synchronously, establish credit evaluation mechanism based on supply chain, and organically connect various supply chain platforms, so as to improve the credit rating, credit record, risk warning, risk management, etc Information disclosure and sharing of illegal and dishonest behaviorthe disadvantages of traditional anti-counterfeiting traceability are very obvious, and anti-counterfeiting traceability has always been an important scenario in blockchain application, such as yinlian, which also starts from the anti-counterfeiting traceability scenario, hoping to build a commercial blockchain
compared with the traditional centralized anti-counterfeiting Traceability Technology, yinlian uses the underlying technology of blockchain, and the merchants proce their own anti-counterfeiting codes to remove the trust problem of cheating by the intermediate anti-counterfeiting merchants. The main process is as follows:
Python learning path
the first stage is Python foundation and Linux database. This is the beginning stage of python, and also an important stage to help students lay a good foundation. You need to master Python basic syntax rules and variables, logic control, built-in data structure, file operation, advanced functions, moles, common standard library moles, functions, exception handling, MySQL use, coroutine and other knowledge points
learning objectives: master basic Python syntax and basic programming ability; Master the basic operation commands of Linux, master the advanced content of MySQL, and complete the projects of bank ATM system, English Chinese dictionary, lyrics parser, etc
the second stage is full web stack. In this part, you need to master HTML, CSS, JavaScript, jQuery, bootstrap, web development foundation, Vue, flag views, flag template, database operation, flag configuration and other knowledge
learning objectives: master the web front-end technology content, master the web back-end framework, skillfully use flash, tornado, Django, and complete the data monitoring background project
The third stage is data analysis + artificial intelligence. This part is mainly to learn the knowledge points related to crawler. You need to master the knowledge of data capture, data extraction, data storage, crawler concurrency, dynamic web page capture, scrapy framework, distributed crawler, crawler attack and defense, data structure, algorithm, etclearning objective: to master crawler, data acquisition, data organization and algorithm advanced and artificial intelligence technology. It can complete crawler attack and defense, image mosaic, movie recommendation system, earthquake prediction, artificial intelligence project and other stage projects
The fourth stage is advanced. This is a python advanced knowledge point. You need to learn project development process, deployment, high concurrency, performance tuning, go language foundation, blockchain introction, etclearning objectives: master the technology of automatic operation and maintenance and blockchain development, and complete the automatic operation and maintenance projects, blockchain and other projects
according to the python learning roadmap above, you can basically become a qualified Python development engineer. Of course, if you want to quickly become the elite talents of enterprises, you need good teachers to guide you, and you need more projects to accumulate practical experience
self learning itself is very difficult, and learning step by step is sure to be comprehensive and solid. If you want to learn which part, you can skip the targeted learning mole you don't need for the time being, and watch more different videos. Systematic learning usually takes 5-6 months