Abstract:[Purpose / Significance] As the core basic carrier of scientific and technological resource sharing services, large-scale scientific research instruments undertake the heavy task of scientific test analysis and theoretical demonstration. Their analysis and test contents can reflect the current level and trend of scientific and Technological Development in the region. Therefore, a large number of analysis and test contents are analyzed to draw the evolution map of the spatial pattern of regional scientific and technological innovation, which not only provides a guide for the management department to formulate the scientific and technological development plan, also can finds the phenomenon of mutual entanglement in the scientific research field and adjust the development strategy in time. [method / process] Through on the semantic text clustering, concept tree and connection strength matrix computation, the analysis and test service data of large scientific research instruments in the region is organized to build a technology theme evolution model, which can observe the evolution of the space-time pattern of scientific and technological innovation in the region, and finds out the development law of technological innovation based on the data analysis results. [Results / Conclusion] the analysis results are consistent with the current innovation and development trend in the region. It can find out the trend of scientific and technological activities in the region at the current stage, and has accurate direction and guidance for the scientific and technological management department to formulate policies.