Construction of Urban Greenland Resources Collaborative Management Platform
Dongyang Lyu, Xiaoqi Li, Zongwei Li
TL;DR
The paper presents a microservice-based urban greening management platform designed to coordinate administrators, gardeners, and suppliers to optimize maintenance, inventory, and green-space governance in cities. Built on a Spring Boot backend with a Vue.js frontend, it employs a layered architecture, RESTful APIs, and secure authentication to enable real-time data updates, predictive maintenance, and scalable operations. Key contributions include comprehensive database design for seven core modules, modular implementation across tree/flower/green-space management, and an end-to-end workflow for maintenance planning, procurement, and feedback. The platform demonstrates favorable implications for resource utilization, citizen satisfaction, and progress toward carbon neutrality, offering a practical framework for intelligent urban governance and community engagement.
Abstract
Nowadays, environmental protection has become a global consensus. At the same time, with the rapid development of science and technology, urbanisation has become a phenomenon that has become the norm. Therefore, the urban greening management system is an essential component in protecting the urban environment. The system utilises a transparent management process known as" monitoring - early warning - response - optimisation," which enhances the tracking of greening resources, streamlines maintenance scheduling, and encourages employee involvement in planning. Designed with a microservice architecture, the system can improve the utilisation of greening resources by 30%, increase citizen satisfaction by 20%, and support carbon neutrality objectives, ultimately making urban governance more intelligent and focused on the community. The Happy City Greening Management System effectively manages gardeners, trees, flowers, and green spaces. It comprises modules for gardener management, purchase and supplier management, tree and flower management, and maintenance planning. Its automation feature allows for real-time updates of greening data, thereby enhancing decision-making. The system is built using Java for the backend and MySQL for data storage, complemented by a user-friendly frontend designed with the Vue framework. Additionally, it leverages features from the Spring Boot framework to enhance maintainability and scalability.