Intelligent algorithm of geotechnical test data based on Internet of Things

摘要

In the geotechnical engineering geological survey industry, geotechnical test data is the basic data for analyzing and evaluating geotechnical engineering geology, forming reports, graphics, and survey reports. It plays an important role in the calculation of the bearing capacity, deformation calculation and physical and mechanical characteristics of the foundation soil. The purpose of this article is to solve the problems of tedious, inefficient and error-prone data collection, processing and analysis of geotechnical test data in the geotechnical and geological surveying industry of geotechnical engineering. By using the BP neural algorithm and selecting the intelligent algorithm, the SVM is used to solve the sample problem. The algorithm establishes an intelligent algorithm for geotechnical test data based on the Internet of Things. Then take the geological characteristics of the Ganjiang River Basin as an example, analyze the geotechnical test data to verify the feasibility of the intelligent algorithm for data analysis. The research results show that the algorithm realizes the automatic collection and processing of geotechnical test data, reduces the tester's workload and the influence of human factors on the test results, makes up for the shortcomings of traditional acquisition algorithm hardware fixation, and solves the problem of simultaneous multitasking. Difficult problems have promoted the development of innovative experiments.