ZhiYi Elderly Care Nursing System

Aug 24, 2026 · 2 min read
projects

Comprehensive management platform for medium-sized nursing homes (B-end ops dashboard + C-end family mini-program), covering health assessment, IoT device monitoring, and care work orders.

🔒 Repository is not yet public. Project details below.

Project Overview

Comprehensive management platform for medium-sized nursing homes with both B-end operations dashboard and C-end family mini-program. Covers health assessment, IoT device monitoring, and nursing work orders.

Team of 6 developers; responsible for the health assessment engine, IoT sync service, and unified authentication modules, serving 500+ devices and 2000+ daily family visits.

Core Responsibilities

1. Health Assessment Module Development & Performance Optimization

  • Integrated Baidu Qianfan AI model for semantic analysis of health reports
  • Designed Redis multi-level caching for frequently accessed health advice
  • Reduced single analysis response from 8s to under 1s
  • Improved nurse review efficiency by ~30%
  • Effectively supported high-concurrency queries during peak morning hours

2. IoT Device Management Module Design

  • Developed Huawei Cloud IoT platform integration service
  • Incremental sync of product lists via async thread pool
  • “Device-Location” binding logic for data consistency
  • Sync time reduced from 3 minutes to 10 seconds
  • Real-time monitoring of 500+ devices

3. Security Authentication System

  • Interceptor + ThreadLocal based seamless login for WeChat mini-program users
  • Multi-thread data isolation and security
  • Zero memory leak stable operation
  • Supporting 2000+ daily active visits

Project Results

  • Performance: AI analysis response reduced from 8s to under 1s
  • Sync: IoT device list sync from 3min to 10s
  • Scale: 500+ devices real-time monitoring, 2000+ daily visits
  • Stability: Zero memory leak, stable production operation

Project Status: ✅ Completed
Repository: 🔒 Not yet public — coming soon

杨劲松
Authors
Java后端工程师 / AI应用开发

Java后端起步,正在转型AI应用/Agent开发者,让大模型落地到真实业务。

  • 🖥️ 技术方向 — Spring Boot微服务 + AI Agent应用
  • 🤖 当前专注 — 多智能体协同调度、RAG知识库
  • 🎯 目标 — 让企业软件从「点击操作」走向「自然对话」