Research On Measurement Data Evaluation And Equipment Management System Of Electrical Laboratory

In the background of the rapid development of computer technology and artificial intelligence technology,intelligence and information technology has been applied to every corner of campus life,the development of artificial intelligence technology and the popularization of electrical and electronic education for electrical and electronic laboratory teaching and management of higher requirements.The traditional laboratory is mostly managed manually,which consumes a lot of manpower and material resources.The experimental teaching efficiency is low,the data is scattered,and the resources are wasted seriously,the frequently used equipment in the laboratory cannot be effectively managed.In addition,the experimental data generated in the experimental process can not be timely processing and scientific judgment,teachers manual evaluation the data measured by students is cumbersome,which affects the quality and efficiency of teaching.In order to meet the development needs of the intelligent era,the electrical laboratory measurement data evaluation and equipment management system in this thesis aims to judge the experimental data uploaded by students and manage laboratory equipment effectively.The whole system focuses on the experimental data generated by students’ experiments.Through in-depth mining and analysis of the experimental data uploaded by students,the informatization and intelligent management of electrical laboratory can be realized.The system adopts open source,free and fast Python language for development,the mature and stable Flask lightweight Web application framework is selected to build the system framework,gunicorn zero-configuration and high performance WSGI is used as the Web server of the system,the database uses Postgre SQL to ensure data integrity,which can ensure the integrity of data.At the same time,in order to ensure that students complete the electrician experiment class efficiently and save the uploaded experimental data completely,the system uses the optimized and improved Rabbit MQ message queue to realize the asynchronous and reliable transmission of experimental data.The system uses the improved DT-Kmeans clustering algorithm to cluster the experimental data of students,and uses the multiple improved KNN classification algorithm to classify the experimental data uploaded by students in real time after clustering,which meets the requirements of course teaching and realizes the timely training of algorithm model according to the data submitted by students in experiments.And to achieve accurate judgment of new data categories,it can meet the needs of intelligent and scientific management of electrical laboratory teaching,and realize the equipment management of electrical laboratory indirectly through the analysis and processing of wrong data.Electrician laboratory measurement data evaluation and equipment management system can greatly improve the current situation of the low degree of intelligent laboratory,this system is conducive to a more scientific intelligent use of laboratory resources,greatly reduce the pressure of teaching staff and laboratory maintenance personnel work,to ensure the efficient use of laboratory equipment and experimental data of accurate evaluation.