Smart Pension System Based on Big Data Mining Algorithm

Authors

  • Bowen Li
  • Dandan Tan
  • Tao Zhang
  • Jialin Zhao
  • Zihang Fei
  • Junhao Zhai

DOI:

https://doi.org/10.54097/ajst.v5i2.6466

Keywords:

Smart Pension System, Big Data Mining Algorithm, WebGIS, Vue, SpringBoot.

Abstract

With the increasingly prominent problem of aging in our country, it has become an urgent task for our society to establish and improve a good old-age care system. At present, a new type of community smart elderly care model is gradually emerging, and has been actively explored and improved. In order to meet the needs of community elderly care services, big data mining algorithms are used to process data, and the smart elderly care system is connected with mobile APP and computer server equipment. Open source WebGIS technologies such as OpenLayers/Cesium, PostgreSQL/PostGIS, GeoServer, etc. are used as core supports, combined with front-end And back-end development technologies such as Vue and SpringBoot, etc., developed a mobile smart pension app and a web smart pension system based on open source WebGIS. This system can be more in line with my country's current smart elderly care service system, and accelerate the construction process of my country's intelligent elderly care.

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References

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Published

27-03-2023

Issue

Section

Articles

How to Cite

Li, B., Tan, D., Zhang, T., Zhao, J., Fei, Z., & Zhai, J. (2023). Smart Pension System Based on Big Data Mining Algorithm. Academic Journal of Science and Technology, 5(2), 140-143. https://doi.org/10.54097/ajst.v5i2.6466