一种智能化粮仓粮堆露点预警方法和系统
By continuously collecting data in grain warehouses to generate humidity and heat perception maps, and combining historical records and meteorological trend forecasts, potential condensation risks in grain warehouses can be identified. This solves the problem that existing systems cannot accurately reflect the humidity and heat risks of various grains or the same variety in different seasons, and achieves precise grain warehouse environmental management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU ON HONEST TECH CORP LTD
- Filing Date
- 2025-12-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing grain dew point monitoring systems cannot accurately reflect the localized heat and humidity risks of various grains or the same variety in different seasons, leading to false alarms or failure to identify condensation risks in a timely manner, which affects the quality of grain storage.
By continuously collecting data on temperature, humidity, airflow velocity, and density of grain storage, a humidity and heat perception map reflecting spatial stratification characteristics is generated. Combined with historical grain storage climate records and meteorological trend predictions, a humidity and heat evolution mapping model is constructed to identify potential condensation risks. Furthermore, by using virtual perturbation simulation to deduce humidity accumulation trends, the early warning threshold and perception sampling density are dynamically adjusted.
It enables accurate digital modeling of complex warehousing environments, significantly improves the continuity and foresight of dew point prediction, reduces the risk of mold growth, and enhances the accuracy and adaptability of the early warning system.
Smart Images
Figure CN121279817B_ABST