A machine learning based reactor type intelligent aerobic composting system
By using a machine learning-based reactor-type intelligent aerobic composting system, the composting status can be monitored and predicted in real time, and optimization suggestions can be generated. This solves the problems of manual dependence and lag in existing technologies and improves the intelligence and automation level of the composting system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING FORESTRY UNIVERSITY
- Filing Date
- 2026-05-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing reactor-type aerobic composting systems rely on manual experience, resulting in lag in composting process detection, low automation, limited functionality, and a lack of intelligent information, thus failing to meet the needs of modern smart composting.
A machine learning-based reactor-type intelligent aerobic composting system is adopted. The system acquires composting status and environmental data through an aerobic composting acquisition subsystem, uses a decision tree model to predict seed germination index, and generates optimization suggestions when unsatisfactory conditions are detected, thereby achieving real-time monitoring and control.
It enables real-time monitoring and prediction of the composting process, improves the level of intelligence and composting efficiency, solves the lag problem in traditional methods, and improves the degree of automation and data acquisition accuracy.
Smart Images
Figure CN122404045A_ABST