Food safety is crucial for national economy and people’s livelihood, but traditional grain storage has long relied on manual inspections, leading to blind spots of “invisibility, incompleteness, and inaccuracy.” Risks such as grain surface anomalies, personnel violations, and equipment hazards can directly result in economic losses and safety incidents if left unchecked. Enterprises urgently need an intelligent solution that operates 24/7 with second-level early warnings, transforming post-event remediation into preemptive interception.
「READING
01
Background Overview
The Central Document No. 1 of 2025 once again emphasizes the construction of “smart grain storage,” requiring all large grain depots to connect to an information supervision platform. Faced with frequent hazards such as “moldy grain, open doors, and personnel violations,” manual inspections combined with traditional cameras can no longer meet the rigid requirements of “real-time detection and immediate handling.” This project employs a visual AI edge computing integrated machine to perform video analysis locally in the grain depot, identifying over 10 risk events such as smoke, fire, personnel falls, and grain surface anomalies within 0.3 seconds. It seamlessly connects with the national grain storage platform through a “front-end closed loop + back-end aggregation” architecture, validated in provincial storage depots in Jiangsu and Shandong, achieving a threefold increase in inspection efficiency and an 85% reduction in accident rates, fully meeting the GB/T 26882-2021 standard for grain storage monitoring.
02
Product Solution｜”Goodbye to Manual Monitoring: An Edge AI Box for 24/7 Grain Storage Safety”
The AI edge computing terminal is equipped with a specialized algorithm package for the grain industry, capable of real-time analysis of the following scenarios:
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In-warehouse operations—automatically detecting violations such as climbing over grain barriers, smoking, and not wearing dust masks, with immediate broadcast warnings to stop the actions;
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Grain surface status—identifying condensation, water accumulation, depressions, and cracks with an accuracy of ≥95%, providing early warnings for mold;
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Equipment safety—detecting conveyor belt misalignment, abnormal gate valves, and sparks from distribution cabinets, automatically pushing notifications to duty phones;
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Fire and explosion prevention—smoke and fire detection in <3 seconds, with a false alarm rate of <1%, capable of directly triggering fire sprinklers;
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Vehicle/personnel management—door opening/closing recognition + license plate/face recognition, ensuring traceability of entries and exits.
The system supports mainstream protocols, allowing existing cameras with over 2 million pixels to be upgraded without replacement, simply by plugging in power and network; it can operate offline, saving 90% bandwidth. Deployment in a single warehouse takes <4 hours, achieving true “plug-and-play” functionality.
03
Product Advantages
Multi-source access: Video + external devices + edge computing terminal, all handled by one box.
Cost-saving reuse: Compatible with mainstream cameras, requiring zero construction modifications.
Front-end closed loop: Local recognition + audio-visual alarms.
Real-time response: Alarms for grain surface cracks and smoke within 3 seconds.
04
Algorithm Demonstration
05
User Effects
After deployment at a certain direct-controlled warehouse of China Grain Reserves, the time to discover hazards was reduced from an average of 2 hours to 30 seconds, preventing approximately 1000 tons of grain loss due to early handling of water seepage. The number of inspection personnel was reduced from 12 to 4 per shift, and violations such as open flames and not wearing masks decreased by an average of 90% per month. The safety compliance score ranked first in the group for four consecutive quarters, and the AI report automatically generated a “grain risk heat map,” helping management optimize storage layout, reducing ventilation energy consumption by 15%.
During inspections, leaders praised it as if the grain depot had been equipped with “eyes from a thousand miles away,” providing greater assurance for safety compliance. Most gratifying is that in the past, during rotation seasons, everyone was anxious, but now they say with a smile: “With AI guarding us, we can sleep soundly at night.”
Zhongke Shenchuang (Smart) Technology Co., Ltd.Company
Zhongke Shenchuang (Zhengzhou) Smart Technology Co., Ltd. is an artificial intelligence system research and application enterprise under the Zhengzhou Zhongke Integrated Circuit and System Application Research Institute, focusing on high-tech research in the field of artificial intelligence + Internet of Things technology. The core R&D team relies on researchers from the institute and the Chinese Academy of Sciences, with research directions covering multiple cutting-edge fields such as machine vision, edge computing, video AI analysis, smart IoT, and intelligent inspection robots.
Zhengzhou Zhongke Integrated Circuit and System Application Research Institute
The Zhengzhou Zhongke Integrated Circuit and System Application Research Institute is a new type of R&D institution approved by the Zhengzhou Municipal People’s Government and hosted by the Zhengzhou High-tech Zone Management Committee, focusing on cutting-edge technology research and industrial application in the fields of integrated circuits, information systems, and artificial intelligence. Relying on top research resources such as the Chinese Academy of Sciences, it actively integrates into the national science and technology innovation strategy layout, achieving a series of breakthroughs in areas such as smart chips, edge computing, and AI algorithm platforms, creating an innovative high ground for “chip-intelligence integration” with regional leadership.
Official Website丨www.zkscaiot.com
Contact Information丨18637195210