Efficient Data Query for Large-scale Manufacturing Product Lifecycle based on Blockchain

The data query for large-scale manufacturing product lifecycle provides the data basis for finding out the processes and causes of the quality problems. At present, lifecycle data query methods are inefficient due to the complex search process. Therefore, this paper designs an efficient data query method for large-scale manufacturing product lifecycle. The new method uses blockchain technology, improves the original transaction structure, and sets K-V(Key-Value) database tables. Firstly, add pre-index and post-index to the transaction data structure. Secondly, store the correspondence between the pre/post-index and the hash value of transactions through K-V database tables. Thirdly, a new efficient lifecycle data query algorithm is designed using the pre&post-index. Finally, a comparative experiment is carried out to validate the efficiency of the efficient lifecycle data query method. The results show that the new method is more efficient than current methods.