2results about How to "Reliable early warning" patented technology

This invention discloses an intelligent analysis method for low-altitude remote sensing data from low-altitude unmanned aerial vehicle (UAV) hangars, belonging to the field of intelligent control technology. This scheme first collects multi-source heterogeneous data through timestamp alignment and hardware-triggered synchronization mechanisms; then, geometric correction is achieved through joint optimization of the RPC model and GCP, and image stitching is completed by combining SIFT feature matching and graph cut algorithms; subsequently, an improved YOLOv8 model is constructed to achieve multimodal fusion target detection, and semantically guided change detection is completed based on the Transformer algorithm; a high-precision 3D model is generated by fusing multi-source data using an enhanced NeRF algorithm, and vegetation analysis and trend prediction are completed using a dynamic weighting algorithm and an LSTM network; finally, a comprehensive report is generated based on a knowledge graph and interactive visualization output is provided. This invention effectively solves the problems of inefficient multi-source data processing and insufficient core detection accuracy in existing technologies, significantly improving data processing efficiency, detection accuracy, and analytical practicality, and is applicable to multiple scenarios such as ecological monitoring and resource exploration.

This invention relates to the field of complex human-machine systems technology, and particularly to an early warning method and device for detecting poor mental workload in operators. The method includes: determining the output state of a target mental workload recognition model to obtain a mental workload state result; determining whether the proportion of the same abnormal state in the mental workload state result exceeds a preset threshold; if not, no early warning response is triggered; otherwise, performance monitoring of the target operator is performed to obtain a performance state result; determining whether the performance state result deviates from the individual's historical performance range; if it deviates, an intervention response is triggered; otherwise, a prompt-level response is triggered. This solves the problems of existing early warning methods, such as difficulty in adaptively adjusting to changes in the operational context, leading to a high risk of false alarms or missed alarms, and difficulty in achieving targeted, sensitive, and effective support, thus affecting the intervention effect.