Design of garden landscape resource sharing system based on SQL database

Xueli Chen

doi:10.1117/12.2653225

6 September 2022 Design of garden landscape resource sharing system based on SQL database

Xueli Chen

Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 1233207 (2022) https://doi.org/10.1117/12.2653225
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China

Abstract

In recent years, the design of landscape resource sharing system based on SQL database has become an important means to realize the remote landscape resource sharing system, and the design framework of landscape resource sharing system is gradually realized through SQL database. However, the existing landscape resource sharing system is often based on the school, which is difficult to access each other. Virtual laboratory experimental resources are difficult to share, resulting in a waste of resources in the construction of landscape resource sharing, more importantly, the experimental data can not communicate, students in the process of experimental study can not be realized, which greatly weakens the influence of experimental teaching, hindering the popularity of network teaching and distance teaching. Therefore, to build a virtual peer-to-peer network system on the existing network and design a distributed cooperative experimental platform that can be cross-platform and support a variety of operating systems has become an urgent problem for the landscape resource sharing system of landscape architecture. In view of the current situation of landscape resource sharing system design, this paper puts forward its own views and makes a judgment on the current problems. The purpose is to speed up the process of landscape resource sharing system design and improve the progress of landscape design.

Citation Download Citation

Xueli Chen "Design of garden landscape resource sharing system based on SQL database", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 1233207 (6 September 2022); https://doi.org/10.1117/12.2653225

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