AI-based intelligent environment precision regulation system and method for edible mushroom factory cultivation
An intelligent environmental control system based on multimodal environmental perception, digital twin reasoning, and reinforcement learning collaborative decision-making solves the problem of conflict between environmental uniformity and parameter control in the industrialized cultivation of edible fungi, and achieves efficient and safe cultivation control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN HONGSHENGYUAN EDIBLE FUNGUS TECH DEV
- Filing Date
- 2026-05-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for industrialized cultivation of edible fungi suffer from several problems, including difficulty in dynamically ensuring environmental uniformity, physical conflicts in multi-parameter regulation, difficulty in distinguishing between environmental stress and biological rhythms, and a lack of interpretability and safety assurance in decision-making. These issues lead to decreased yield, deterioration in quality, and increased energy consumption.
An intelligent environmental control system employing a multimodal environment perception layer, a digital twin reasoning layer, a reinforcement learning collaborative decision-making layer, and a population evolution-driven execution layer achieves precise control through full-field three-dimensional state perception, physical coupling modeling, and biological rhythm differentiation.
It improves the stability, energy efficiency and safety of industrialized cultivation of edible fungi, realizes intelligent closed-loop collaborative control of the cultivation environment, and reduces ineffective energy consumption and the risk of mycelial damage.
Smart Images
Figure CN122411209A_ABST