2results about How to "Avoid duplicate collection" patented technology

This invention discloses a method for constructing a 3D visualization region model for surveying and mapping data, belonging to the field of 3D visualization modeling technology. The invention determines the target range and several modeling targets, sets modeling levels and matches corresponding data scales, and determines the surveying and mapping area by grouping the modeling levels from high to low. Based on the matched data scales, it acquires surveying and mapping data and completes multi-scale modeling. This invention supports the downward conversion of high-precision data through the linkage of modeling levels and data scales, avoiding the repeated collection of low-precision data for low-level targets. Simultaneously, the expanded area of ​​high-level targets can cover low-level targets, reducing the workload of separate zoning and improving data acquisition efficiency. Furthermore, the buffer zone formed by the expansion enables smooth fusion of data at different levels, eliminating "precision gaps" at boundary stitching, ensuring the overall coherence and naturalness of the 3D visualization model, and providing accurate spatial model support for scenarios such as urban planning and regional management.

This invention relates to the field of medical emergency and telemedicine technology, and in particular to an online diagnosis and treatment system. Addressing the problems of lagging information transmission and lack of intelligent data analysis in existing traditional pre-hospital emergency care models, this invention proposes the following solution: a portable emergency intelligent terminal, a cloud-based big data and artificial intelligence analysis platform, a hospital-side command and preparation system, and a high-speed mobile communication network. The portable emergency intelligent terminal is deployed at the emergency site to collect and preprocess patient physiological and environmental data and transmit it in real time. After receiving the data, the cloud platform retrieves the patient's historical health data, diagnoses and evaluates the patient using an AI model, and generates a personalized dynamic emergency care plan based on a knowledge graph. This invention achieves real-time, multi-dimensional collection and intelligent analysis of pre-hospital emergency care data, breaks down information barriers between pre-hospital and in-hospital care, provides dynamic optimization solutions for on-site emergency care, guides precise in-hospital preparation, significantly improves emergency care efficiency and accuracy, and reduces the prognostic risks for critically ill patients.