Application and Exploration of Early Warning Mechanism in Abnormal Use of Large Sharing Instruments

Abstract

With the continuous investment of the national "Double First Class" universities, the financial investment of universities has increased year by year, and the purchased instruments have correspondingly grown rapidly. At the same time, the performance evaluation standards for large-scale shared instruments by national ministries and commissions are gradually improving, and higher requirements are being put forward for instrument sharing and management. In the process of large-scale instrument sharing in universities, there are common problems such as insufficient management personnel, inadequate management, and difficulty in implementing responsibilities. By utilizing the usage data in the shared platform data warehouse, analyzing relevant data such as usage time intervals, personal behavior, and user affiliation units, a preliminary evaluation of the reasonable usage interval is made. Combined with the use of early warning mechanisms, feedback from users is utilized to continuously optimize the usage warning values, This provides a solution for strengthening the digital management of large-scale instruments.