Research And Design Of Online Virtual Simulation Experiment Process Evaluation Based On Blockchain

Most of the traditional experimental evaluation methods are mainly based on the result evaluation methods such as experimental reports,and lack of tracking and evaluation of students ’ experimental process.With the continuous deepening of the ’ Double First-Class ’construction,the concept of focusing on process assessment rather than result assessment has been recognized by more and more educators.Process evaluation can not only stimulate students ’ interest in learning and strengthen the learning effect,but also optimize the learning process and adjust learning strategies.When evaluating the process of virtual simulation experiment,in order to ensure that expert evaluation data,student experiment data and teacher rating data are not tampered,blockchain technology is introduced to store data on the chain to ensure the credibility of the data.This thesis analyzes the research status of process evaluation of online virtual simulation experiments at home and abroad,and on this basis,deeply studies the process evaluation of experiments in virtual simulation application scenarios.The main contents include three aspects : research on process evaluation of online virtual simulation experiments,research on improved practical Byzantine fault-tolerant algorithm based on trust,and design and implementation of online virtual simulation experiment process comprehensive evaluation system based on blockchain.The main research work is as follows :(1)In view of the problems in the process evaluation of online virtual simulation experiment,such as the inability to grasp the experimental operation process of students,the single and incomplete evaluation method,the lack of objective evaluation,and the inability to quantify subjective evaluation factors,this thesis designs an evaluation model based on analytic hierarchy process-grey correlation analysis and improved multi-level fuzzy comprehensive evaluation method to solve the corresponding problems in the process evaluation of virtual simulation experiment.Firstly,based on the work breakdown structure,the influencing factors of the experimental process are hierarchically divided,and a process evaluation index system for most virtual simulation experiments is constructed by the Delphi method.Then,the analytic hierarchy process-grey relational analysis evaluation model is used to quantitatively analyze the index data collected by the questionnaire survey.Among them,the analytic hierarchy process is used to calculate the index weight,and the grey relational analysis is used to determine the importance of different process factors to the experiment.Next,the whole virtual simulation experiment evaluation is improved by improving the multi-level fuzzy comprehensive evaluation model.Finally,the experimental courses selected in the virtual simulation experimental teaching platform are taken as an example for calculation and analysis.The results show that the evaluation results obtained by the evaluation model established in this thesis are relatively objective and effective.(2)Based on the constructed virtual simulation experiment process evaluation model,the blockchain technology is used to ensure the credibility and security of the experimental process evaluation data.When the experimental process evaluation data is packaged and uploaded to the blockchain,a consensus needs to be reached between the entire network nodes.In order to improve the consensus efficiency in the storage process on the data chain,a Trust Practical Byzantine Fault Tolerance(T-PBFT)is proposed.By improving the random selection of the main node in the PBFT algorithm and the high communication complexity of the Byzantine node as the main node and the consistency protocol,the main node can be reduced to be a Byzantine node.Optimizing the PBFT consistency protocol can reduce the communication overhead.The experimental results show that the T-PBFT algorithm effectively reduces the consensus delay and improves the throughput.(3)On the basis of the constructed virtual simulation experiment process evaluation model and the improved PBFT consensus algorithm,the data obtained in the virtual simulation experiment process evaluation is prevented from being tampered with and falsified.This thesis designs and implements an online virtual simulation experiment process comprehensive evaluation system CES-B based on blockchain.The system guarantees the security of the experimental process data through the on-chain and off-chain storage method,and uses T-PBFT as a consensus mechanism.The FISCO BCOS alliance chain is used to build the underlying framework,and the on-chain storage contract is written in Solidity language.The smart contract is added to the We BASE platform for management,and the transaction is sent for invocation to realize the on-chain storage of experimental data,which greatly improves the security of data.Blockchain-related technologies have been introduced into the evaluation mechanism by more and more researchers,which has improved the evaluation problem and provided new ideas for online virtual simulation experiment process evaluation.