6results about How to "Improve spatial precision" patented technology

The invention relates to a mapping system and method for flight inspection of indoor equipment, the system comprises a data acquisition end and an offline data processing end, the data acquisition end comprises an unmanned aerial vehicle and a sensing module, and the sensing module comprises a laser radar module, a binocular camera module, an inertial measurement module and an airborne recording module; the method comprises the following steps: synchronously acquiring multi-source data through layered flight; performing space-time alignment and preprocessing; self-adaptive sampling is carried out based on point cloud geometric prior guide image features, and laser-vision joint features are generated; fusing point cloud registration, joint features and inertial data, and carrying out joint estimation on adjacent frame pose increments; performing loopback detection based on the key frame to generate a closed-loop constraint; constructing and optimizing a pose map to eliminate cumulative drift; and finally fusing to generate a global point cloud map. According to the method, the space consistency and geometric accuracy of the map can be effectively improved, and a reliable data basis is provided for digital modeling and intelligent operation and maintenance of indoor equipment inspection.

The application discloses a kind of nanometer non-contact in-situ optical thermal characterization technology combination measurement method, this method includes: for larger device size, measurement accuracy requirement is not high, qualitative evaluation main heat source area or thermal failure positioning wide band gap semiconductor power device thermal characterization application demand, using infrared thermal imaging mode;For smaller device size, measurement accuracy requirement is higher, quantitative characterization wide band gap, ultra-wide band gap semiconductor power device temperature distribution thermal characterization application demand, for transverse structure device using thermal reflection imaging mode and nanometer particle-based Raman thermal characterization mode characterization measurement device metal electrode temperature and device surface temperature;For vertical structure device using thermal reflection imaging mode, Raman thermal characterization mode and nanometer particle-based Raman thermal characterization mode characterization measurement device metal electrode temperature, device surface temperature and device surface temperature under even thickness.

This invention provides a UAV visual language navigation method based on predictive semantic occupancy representation, comprising: acquiring multimodal visual observations and six-degree-of-freedom pose data; extracting semantic features using a large visual language model and back-projecting them to construct a local three-dimensional semantic occupancy representation; performing target existence likelihood inference on the observation boundary and unexplored airspace based on the semantic prior of the large model to generate predictive semantic occupancy representations; parsing natural language commands to extract target semantic description vectors, aligning them with the predictive representations across modalities, and calculating semantic response scores; extracting candidate frontiers based on semantic response scores and obstacle avoidance constraints, calculating comprehensive exploration utility to select local navigation target points; performing local trajectory planning that satisfies kinematic constraints, driving the UAV to fly along a collision-free smooth trajectory, and updating the environmental representation online in a closed loop based on real physical observations until the mission is completed.

The invention relates to the technical field of temperature monitoring, in particular to an equipment temperature monitoring method and system based on wireless communication, and the method comprises the steps: obtaining the temperature data, infrared thermal imaging data and radio frequency signal feature data of target equipment in the same monitoring time period, and obtaining a multi-source monitoring data set; performing anomaly detection on the multi-source monitoring data set to obtain a temperature anomaly data segment, an infrared anomaly pixel region and a signal anomaly feature segment, and taking a monitoring region corresponding to an intersection of the temperature anomaly data segment, the infrared anomaly pixel region and the signal anomaly feature segment as a core anomaly region; and screening the multi-source monitoring data set according to the core abnormal region to obtain target temperature data, a target thermal image and a target signal feature. According to the method, the intersection of the temperature abnormal data segment, the infrared abnormal pixel region and the signal abnormal feature segment is analyzed, so that a core region which may have problems in the equipment can be accurately positioned, the spatial precision of anomaly detection is effectively improved, and false alarm and missing alarm are avoided.

This invention provides a method for quantitatively evaluating the occlusion impact of a meteorological station observation environment based on three-dimensional point clouds. The method acquires three-dimensional point cloud data of the observation environment surrounding the target meteorological station and the spatial position of the instrument's sensing elements. It extracts point cloud data of obstructions within a preset evaluation range and establishes a local spatial coordinate system with the sensing elements as the origin, determining the azimuth, elevation, horizontal distance, and effective obstruction height of the point cloud points. The sky hemisphere is divided into grids, and the effective obstruction points of each grid are determined. The occlusion impact is calculated based on the distance-to-height ratio and attenuation coefficient. The occlusion impact of each grid is comprehensively processed to obtain a comprehensive occlusion impact, and a quantitative evaluation result is generated. This scheme can improve the accuracy and stability of the meteorological station observation environment occlusion evaluation.

This invention relates to the field of carbon sink monitoring technology, and particularly to a forestry carbon sink measurement and monitoring system based on dynamic correction of meteorological factors. The system includes: a data acquisition module for acquiring periodic meteorological data packets; a micro-meteorological calculation module for outputting micro-meteorological data at each individual tree location; an individual tree simulation module for inputting micro-meteorological data into an individual tree growth model; and a global aggregation module for performing spatial aggregation calculations to generate a global carbon sink prediction value and its spatial distribution map for the target forestry area. This invention reconstructs discrete observations into a high-resolution microclimate spatiotemporal field covering each individual tree location, enabling each individual tree to obtain light, temperature, and water conditions that reflect its true microhabitat, thereby fundamentally improving the spatial accuracy of carbon sink measurement. By using an individual tree growth process model to simulate photosynthesis, respiration, and carbon allocation processes on a tree-by-tree basis, the overall carbon sink prediction accuracy is improved.