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The collection of Temperature is one of the prerequisites for temperature control systems, a suitable acquisition system will reflect the real changes of the temperature, and reliable data can provide a strong guarantee for subsequent data analysis. Gross error is modal value in acquisition system, effective removal of these gross error can help the experimenter to better analyze the performance of the acquisition system.In this paper, we first introduces three common gross error elimination methods, including Grabs criteria、Dixon guidelines and Pauta Criterion. Comparing the merits of Pauta Criterion and improved Pauta Criterion, and apply the improved Pauta criterion to LabVIEW temperature acquisition system, and this system not only realized the automatic collection and compute, but also got rid of the coarse error of the non-normal distribution data successfully, and reached expected goal.