一种温室设备智能点检管理系统

The intelligent inspection and management system for greenhouse equipment utilizes time-varying state prediction models and real-time alignment technology to solve the problem of over- or under-inspection caused by differences in environmental and equipment conditions during greenhouse equipment inspection, thus achieving efficient and intelligent equipment condition monitoring and maintenance.

CN122414743APending Publication Date: 2026-07-17JIQING TECH (SHANGHAI) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIQING TECH (SHANGHAI) CO LTD
Filing Date
2026-06-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing greenhouse equipment inspection methods cannot reflect the differences in the rate of change of equipment status due to differences in microenvironment and aging, resulting in over-inspection or under-inspection of some equipment. Furthermore, they lack the dynamic correlation between environmental parameters and equipment operating status, and cannot respond in a timely manner to abnormal equipment status and accelerated degradation.

Method used

The intelligent inspection and management system for greenhouse equipment is adopted. It acquires environmental parameters and equipment status data through the data acquisition module, uses a time-varying status prediction model to predict future status change trajectories, dynamically sets the inspection time series, and performs real-time alignment and adjustment at key turning points to generate differentiated inspection path maps and optimize the inspection plan.

Benefits of technology

It enables accurate prediction and real-time adjustment of inspection plans based on changes in equipment status, avoiding resource waste and missed inspections, improving the intelligence and timeliness of inspections, and ensuring the timely detection and handling of critical equipment.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种温室设备智能点检管理系统,属于农业物联网技术领域。系统包括数据采集模块、轨迹预测模块、路径规划模块和动态对齐模块。数据采集模块响应于点检任务生成事件,获取温室环境参数及设备运行状态数据;轨迹预测模块将上述数据输入时变状态预测模型,输出未来时间窗口内设备的预测状态变化轨迹,并动态设定各设备的点检时间序列;路径规划模块按点检时间序列生成点检路径图,图中标记关键点检节点;动态对齐模块在到达转折点时间时采集实时工作参数并与预测参数动态对齐,根据对齐结果调整后续点检时间序列。本发明能够根据环境变化和设备状态预测自适应生成点检计划,并实时修正,提高点检效率和准确性。
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