A perimeter intrusion detection method and system of daqing oilfield based on infrared and millimeter wave security radar cross-modal fusion
By using a cross-modal fusion method combining infrared and millimeter-wave radar, the problems of detection stability and system integration under complex weather conditions in oilfields were solved, achieving efficient intrusion detection and closed-loop processing under extreme weather conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DAQING ANRUIDA TECH DEV CO LTD
- Filing Date
- 2026-05-11
- Publication Date
- 2026-06-30
AI Technical Summary
Existing technologies suffer from several problems: insufficient stability of single-mode intrusion detection under complex weather conditions in oilfields; lack of environmental adaptability in cross-mode fusion of infrared and millimeter-wave radars; difficulty in effectively suppressing noise from sand, rain, snow, and sand in oilfields during radar signal preprocessing; insufficient model generalization ability due to the scarcity of real intrusion samples; and low integration of detection and early warning systems.
By acquiring infrared images and millimeter-wave radar signals from the oilfield perimeter, pairing and loading the data and preprocessing it, standardized data is generated. Modal weights are generated using environmental perception, and cross-modal attention processing and environmental gating fusion are performed. Combined with multilayer perceptron and Softmax output weights, intrusion detection classification is performed, and the detection results and confidence levels are output in real time.
It improves the model's generalization ability in complex environments, reduces the false negative and false positive rates, enhances the stability of detection results and system integration, and realizes a closed-loop processing flow from data acquisition to detection.
Smart Images
Figure CN122310184A_ABST