Utilization of Intelligent LIMS System Based on Artificial Intelligence Algorithm in Environmental Evaluation

In the process of environmental monitoring, the accuracy and reliability of laboratory testing data play a crucial role in the smooth progress of monitoring work. With the continuous development of environmental monitoring business, traditional manual methods can no longer meet the needs of environmental monitoring work. The article studied an intelligent LIMS (Laboratory Information Management System) based on artificial intelligence algorithms and elaborated on its application in environmental monitoring business. Firstly, a large amount of environmental evaluation data was collected and organized, and then convolutional neural networks were used to train and model these data to establish an environmental quality prediction model. Tests have proven that the intelligent LIMS established using convolutional neural networks has an assessment efficiency of 87.6% and an accuracy of 95%, providing strong support for environmental protection and governance work. The application of intelligent LIMS provides a new data management and analysis tool for the environment management department.