Testing laboratory resources are an important support for teaching and scientific research in universities. How to evaluate the utilization efficiency of testing laboratories through big data analysis and make targeted optimization suggestions is of great significance to improving the testing capabilities and resource utilization efficiency of universities. Based on the big data analysis method, this article starts from the aspects of testing laboratory usage data collection, storage, analysis, visualization, etc., builds a testing laboratory usage efficiency evaluation model, and proposes an optimization strategy. The study found that the evaluation of testing laboratory usage efficiency needs to comprehensively consider multi-dimensional indicators such as frequency of use, duration, equipment utilization, sample processing capacity, testing accuracy, testing cycle, etc. Data collection and processing are key links. In response to the problems discovered in the assessment, optimization measures such as strengthening planning management, improving the reservation system, optimizing layout, and establishing incentive mechanisms were proposed. This study has certain reference value for promoting the informatization of testing laboratory management and improving testing capabilities and efficiency.

university laboratories  /  big data  /  efficiency assessment  /  resource optimization