In view of the influence of information's ''incompleteness'' and ''asymmetry'' to supply chain operation efficiency, we make big production enterprise as the object and apply blockchain to its supply chain endogenous risk management, to research the specific operation mechanism and application value. In the operation process of big production enterprise supply chain, because of the information's asymmetry, the fraud problem will produce among the business subjects; blockchain is a decentralized distributed accounting and data storage technology, and with blockchain technology, we can resolve the business subjects' fraud problem and can provide more accurate decision information basis for each business section, and realize group decision. This paper has described the system structure and intelligent contract operation mechanism under consensus authentication of blockchain applying in big production enterprise supply chain and analyzed by the case. In view of the limitation of classical blockchain technology applying in big production enterprise supply chain, we constructed the corresponding blockchain data storage mechanism and data access mechanism. Analyzed the economic value of this paper researching from the aspects of response speed, supply accuracy, cooperation integrity, business interaction economic cost, supply quality, and supply price. This paper research will provide ideas and model structure for developing supply chain area's blockchain system and will promote the application research development of blockchain in specific area. INDEX TERMS Blockchain, big production enterprise, supply chain, endogenous risk management.

Aiming at the current problems of security threats and privacy leak risks in the operation process of related data of intelligent logistics system, and the operation of system lacking of supervision and traceability, this paper proposes to use blockchain technology to resolve these problems. A scheme on applying blockchain in intelligent logistics system is proposed, including operation principle, consensus authentication mechanism, and data storage and access mechanism. By introducing and analyzing the related big data of intelligent logistics system, improving the scientific, rationality, and intelligence of the decision. The basic characteristic of blockchain is traceability. By constructing algorithm models, proposing the realization principles of consensus authentication mechanism. For different events, different ''multi-authentication centers'', intelligent contracts, and blockchain systems are constructed, improving the efficiency and supervision of the operation of intelligent logistics system. By constructing the correlations between the fundamental data that corresponding to different blockchain, and the correlations between the fundamental data that corresponding to the same blockchain, making the related data easier to collect and analyze. By constructing the storage and access mechanism, ensuring the security and confidentiality of the operation data of intelligent logistics system. This paper has provided thought for the application research of intelligent logistics system based on blockchain, and has positive reference value and guiding significance to the development of blockchain application research.

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In current credit evaluation methods, the credit condition of the network supplier and the credit degree of each index cannot be described well, and the credit evaluation data only source of the transaction platform have much limitation. This research proposes the method of calculating the importance and the value of the credit evaluation indexes, and proposes to put credit evaluation into big data environment. This research uses the transaction process of B2C as the case, and constructs multiple attribute weighted Petri net credit index subnet (CWPSN) for realizing the credit evaluation of the network supplier, and for presenting the correlations among the evaluation results of the credit evaluation indexes, and for presenting the importance of the indexes and the credit degree of each index, and describes the cost optimization process with credit cost optimization investment process Petri net (CCOIPPN). By the case to verify the credit evaluation method based on Petri net and the cost optimization method based on Petri net. The researches have provided methods for clearly and concretely describing the process of credit evaluation and cost optimization of network supplier, and have guidance significance for similar other researches.

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CPS (Cyber Physical Systems) have got wide application and research, and information security risk evaluation became the key for CPS greatly developing. In view of the physical structure and business characteristics of CPS, this paper constructs an information security risk evaluation system for CPS. In the process of risk evaluation, colligating the analysis results from experts and the analysis results of external data sources' related big data for information security risk evaluation of CPS, by experts confirming the index system and indexes' weight values for CPS information security risk evaluation, further through using evaluation model to realize the quantitative calculation to CPS information security risks. This paper proposes using blockchain technology to construct the data's authenticity and reliability guarantee system for CPS and CPS related external systems, and constructing blockchain's layered model structure based on CPS. In the part of case analysis, comparing and analysing the evaluation system based on blockchain and big data and the evaluation system based on traditional mode, to confirm the research value of this paper.