区块链技术下垃圾分类管理平台的试验及熵权-云模型评价

Experiments on a blockchain-based waste classification management platform and evaluation of entropy-cloud model

文章基于区块链技术(blockchain technology,BT)的去中心化、可溯源性、不可篡改和激励机制4大特征,构建具有积分激励、宣传教育、线上交易和数据溯源功能的区块链技术下垃圾分类管理平台,并选取合肥市某垃圾分类试点小区进行试验,通过2022年1—9月的问卷调查、实地采样和物理组分分析检验平台的垃圾分类管理效果。结果表明:可回收垃圾回收潜力较试验前增长20.4%,厨余垃圾混杂率降低23.5%;截止到9月公众支持率和参与率超95%,违规事件成功溯源率达83.2%。同时文章首次引入熵权-云模型对区块链平台的垃圾分类管理的试验效果进行评价分析,结果表明,S1(1—3月)、S2(4—6月)、S3(7—9月)试验阶段的垃圾分类管理综合确定度分别为2.53、2.66、2.82,综合评价等级分别为Ⅳ(较差)、Ⅲ(中等)和Ⅱ(良好)。区块链技术下垃圾分类管理平台能够解决垃圾分类过程中分类质量差、公众参与度低等普遍性问题,适用于我国强制性垃圾分类的时代要求。熵权-云模型能考虑问卷调查和采样结果的随机性,实现定性概念到定量数据的转变,在垃圾分类管理领域具有创新性和可行性。

Based on the four characteristics of blockchain technology(BT),namely decentralization,traceability,tamper-proofness and incentive mechanisms,this paper constructed a blockchain-based waste classification management platform with the functions of points incentive,publicity and education,online transaction and data traceability and selected a pilot district in Hefei City to test the effectiveness of the platform through questionnaire survey,field sampling and physical component analysis from January to September 2022.The results show that the recycling potential of recyclable waste increases by 20.4%compared to pre-test,and the food waste mixing rate decreases by 23.5%;the public support and participation rate exceeds 95%as of September 2022,and the successful traceability rate of violations reaches 83.2%.Meanwhile,the paper introduced the entropy-cloud model for the first time to evaluate the blockchain platform.The results show that the comprehensive determinations of waste classification management in the S1(January-March),S2(April-June)and S3(July-September)trial phases are 2.53,2.66 and 2.82,and the comprehensive evaluation grades areⅣ(poor),Ⅲ(fair)andⅡ(good),respectively.The platform can solve the universal problems of poor classification quality and low public participation,and meet the requirements of the era of mandatory waste classification in China.The entropy-cloud model can consider the randomness of questionnaire and sampling results,and realize the transformation from qualitative concept to quantitative data,which is innovative and feasible in the field of waste classification management.