4 results about "Hazard avoidance" patented technology

This invention discloses a digital twin management and inspection method and system for gas risers. The method establishes a riser feature map by performing a weighted analysis of missing data from survey records and geospatial data. It generates a twin archive set of shading depth data through gradient analysis of facade visibility angles and correction of shading deviations, which is then fused with record attributes to form a twin correlation matrix. Through coupling analysis of shading depth and inspection intervals, and identification of reverse deviations in pipe age and maintenance density, it generates mismatch classification markers. Dynamic rolling scheduling is performed on these mismatch markers. A hazard avoidance confirmation set is obtained through cross-inspector omission rate comparison and accessibility obstacle cluster identification. A graded disposal task group is generated by suppressing false low-risk situations using vacancy-coordinated over-limit difference. Finally, through prediction of sudden changes in on-duty time difference and correction of fatigue coordinate drift, the method integrates scheduling status feedback to output the riser twin inspection results, achieving continuous refinement of the gas riser twin status and proactive risk detection.

The present invention provides a method and system for dynamic risk avoidance transfer in a flood storage and detention area based on flood information and road network reconstruction, and relates to the technical field of risk management of flood storage and detention areas. The method constructs a one-dimensional river hydraulic model and a two-dimensional flood storage and detention area hydrodynamic model, and couples the two to form a one- and two-dimensional coupling model for simulating the flooding process of the flood storage and detention area, and obtains the flood evolution information of the flood storage and detention area; in addition, an initial road network topology structure is constructed, and the static shortest path is solved with the shortest travel time as the goal; the initial road network topology structure is reconstructed using the flood evolution information, and a dynamic risk avoidance path is calculated, which is used as the optimal transfer path during the flood evolution process. The present invention can take into account the real-time flood information and the dynamic changes of the road network structure during the flooding process of the flood storage and detention area, obtain the latest time to ensure that all villages inside the flood storage and detention area complete the risk avoidance transfer, avoid the irrationality of the traditional flood storage and detention area transfer path planning method, and reduce the risks of the traditional method.

The invention relates to the technical field of road marking, in particular to a road marking drawing method and system based on image recognition. The method comprises the following steps: acquiring a historical track data set, a road design parameter set and an environment image set of a target road; analyzing the historical track data set, and determining track repetition; determining geometric constraint conditions according to the road design parameter set; according to the environment image set, dangerous source distribution characteristics are determined; and determining a marking scheme according to the track repetition degree, the geometric constraint condition and the hazard source distribution characteristics. The method is helpful for increasing the visual distance of the marking under extreme conditions, reducing out-of-control accidents caused by overspeed, reducing roadside hazard source danger avoiding space contradictions, generating a marking scheme, preventing compensation intensity from exceeding physical limitation of a lane, and reducing the decision error rate at a marking abrupt change position.

This invention discloses a method and system for assisted navigation of ships in typical waterways based on UAV escort, belonging to the field of intelligent shipping auxiliary control technology. It constructs a multi-dimensional risk perception model for the waterway area, extracts historical accident, hydrological, and obstacle information to generate a risk density matrix; forms high-risk clusters based on risk spectrum dynamic clustering and assigns adjustable intervention weights; schedules UAVs with self-localization and differential recognition capabilities for escort flight, and acquires track deviation, velocity vector, and attitude information through multi-modal perception and low-latency links; calculates intervention coefficients using a risk decision engine and generates heading, speed, and turning point control parameters; and finally achieves local path dynamic optimization and feedback closed-loop control. This invention improves the heading accuracy and hazard avoidance capabilities of ships in complex typical waterways and is suitable for intelligent shipping applications in high-density navigation environments.