Research Article
Development and Application of Big Data-Based Infant and Toddler Intelligent Care Management System
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345313, author={Liang Wang and Shuang He}, title={Development and Application of Big Data-Based Infant and Toddler Intelligent Care Management System}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={intelligent childcare big data technology management system development application}, doi={10.4108/eai.15-12-2023.2345313} }
- Liang Wang
Shuang He
Year: 2024
Development and Application of Big Data-Based Infant and Toddler Intelligent Care Management System
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345313
Abstract
Currently, childcare services in China face significant challenges, especially with the implementation of the two-child policy, resulting in a substantial increase in the infant and toddler population and higher demands for refined and intelligent childcare services. To achieve intelligent childcare, this research has developed a Big Data-based Infant and Toddler Care Management System. This system adopts a B/S architecture and utilizes databases like MySQL to store data from multiple heterogeneous sources. The system's functional modules include intelligent video monitoring, precise feeding, smart security, and data analysis, among others. It finds broad applications in infant and toddler care, resource allocation, and decision support. The research demonstrates that this system can intelligently analyze big data, provide precise services for infants and toddlers, optimize resource allocation, and enhance the effectiveness of management decisions, making childcare services more intelligent and personalized. This study offers valuable support and reference for elevating the level of childcare services in China through the use of Big Data technology, and it holds significant social value and application prospects.