Intelligent control system and method for facility agriculture based on multi-source perception

The intelligent control system for facility agriculture, which utilizes multi-source sensing and dynamic decision-making, solves the problems of single sensing, inefficient data processing, and poor security in existing facility agriculture control systems. It achieves intelligent control with high precision, low energy consumption, and rapid emergency response, and is applicable to various scenarios in facility agriculture.

CN122194624APending Publication Date: 2026-06-12SHANDONG AGRICULTURAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG AGRICULTURAL UNIVERSITY
Filing Date
2026-03-18
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing facility agriculture control systems suffer from limited sensing dimensions, low data processing accuracy, inflexible control strategies, high energy consumption, susceptibility to existing technological limitations, significant data security risks, and delayed emergency response, making it difficult to achieve precise and intelligent control.

Method used

Employing a multi-source heterogeneous sensing module, an edge collaborative processing module, a dynamic decision-making and control module, and an encrypted storage module, and connected to a 5G narrowband hybrid communication link via a dedicated industrial bus, a closed-loop control system is formed. This system integrates crop physiology, environmental, soil, and equipment operation sensing. It uses an improved wavelet threshold denoising algorithm, a hierarchical weighted fusion algorithm, and a lightweight neural network model to construct a dynamic growth model and generate targeted control strategies. The system further optimizes control by combining the whale optimization algorithm and uses the national cryptographic SM4 algorithm to encrypt data, achieving modular execution and dual storage.

Benefits of technology

It enables comprehensive, precise, and intelligent control of facility agriculture, with low data processing latency, high security, rapid emergency response, 18% reduction in energy consumption, and 12% improvement in crop growth status. It is adaptable to different facility agriculture scenarios and is both innovative and practical.

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Abstract

The application discloses a facility agriculture intelligent regulation and control system and method based on multi-source sensing, relates to the technical field of intelligent monitoring and Internet of Things sensing, and specifically relates to a facility agriculture intelligent regulation and control system and method based on multi-source sensing, which comprises a sensor layer, a local computing layer and a cloud platform layer and collaborates layer by layer from low to high. The sensor layer collects physical signals related to human behaviors, generates intermediate characteristic data or behavior elements; the local computing layer receives and performs aggregation, time processing and intermediate state calculation, and generates behavior candidate results with confidence; the cloud platform layer is responsible for data storage, parameter management and trend analysis. The system clearly defines the permissions of each layer: the sensor layer does not perform fine operations such as bone modeling, the local layer does not directly output the final result, the cloud platform does not participate in real-time final judgment, and the final behavior judgment is completed by an external module not mentioned. Each layer communicates through a preset interface, and cooperates to realize efficient and layered human behavior monitoring.
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