CN-122015784-A - Real estate mapping system and method based on geographic information system

CN122015784ACN 122015784 ACN122015784 ACN 122015784ACN-122015784-A

Abstract

The invention discloses a real estate mapping system and method based on a geographic information system, wherein the real estate mapping system comprises an unmanned aerial vehicle mapping unit, the unmanned aerial vehicle mapping unit is responsible for collecting aerial large-scale images and laser point clouds, and adaptively adjusts measurement parameters according to real estate types, the laser measurement unit correspondingly completes measurement and complement measurement of ground high-precision boundary points, can identify a shelter in a measurement path and trigger complement measurement signals, a positioning enhancement unit provides anti-interference multi-source positioning support for the whole system to ensure continuous stability of positioning in a complex environment, a data fusion calibration unit synchronizes the coordinates of cross-medium data with a time stamp, corrects data fusion deviation, a GIS processing unit bears core tasks of geographic information management, data processing and mapping result generation, and a linkage verification unit realizes real-time linkage verification of mapping data and real estate registration data and identification right boundary conflict. The method has the advantages of multi-source cooperation, self-adaptive matching, anti-interference enhancement and linkage calibration.

Inventors

GAO ZHAOWEI
LIU JIANFENG
NIU CHUAN
ZHANG CHAO

Assignees

山东蒙山路桥有限公司

Dates

Publication Date: 20260512
Application Date: 20260119

Claims (10)

1. The real estate mapping system based on the geographic information system is characterized by comprising an unmanned aerial vehicle mapping unit, a laser measuring unit, a GIS processing unit, a data fusion calibration unit, a positioning enhancement unit and a linkage verification unit, wherein the units are cooperatively matched to realize cross-medium, anti-interference and self-adaptive high-precision real estate mapping, the unmanned aerial vehicle mapping unit is responsible for collecting aerial large-scale images and laser point clouds, measuring parameters are self-adaptively adjusted according to real estate types, the laser measuring unit correspondingly completes measurement and complement measurement of ground high-precision boundary points, and can discern the shelter from thing in the measurement route and trigger the complement measurement signal, the location reinforcing unit provides the multisource location support of anti-interference for the whole system in order to ensure the continuous stability of location under the complex environment, the data fusion calibration unit realizes crossing the coordinate unification and the timestamp synchronization of medium data, and then revise the data fusion deviation, GIS processing unit bears the core task of geographic information management, data processing and mapping result generation, the linkage check unit then realizes the real-time linkage check of mapping data and real estate registration data and discerns the right and belongs to the boundary conflict.
2. The real estate mapping system based on the geographic information system of claim 1 wherein the unmanned aerial vehicle mapping unit comprises a multi-rotor unmanned aerial vehicle platform, a long range laser radar, a visible light camera, an IMU inertial measurement module, a high precision positioning module and a self-adaptive parameter adjustment module, wherein the multi-rotor unmanned aerial vehicle platform can carry various measurement loads to realize preset course flight and dynamic obstacle avoidance so as to adapt to complex working environment, the long range laser radar supports a specific scanning mode, ground point clouds are acquired through penetrating vegetation and tiny ground objects are accurately captured, the IMU inertial measurement module and the high precision positioning module cooperate to ensure stable and accurate positioning of the attitude in the flight process, and meanwhile, a preset parameter library is arranged in the self-adaptive parameter adjustment module to automatically adjust laser scanning frequency, camera exposure time and flight height according to real estate types so as to realize dynamic adaptation of measurement parameters.
3. The real estate mapping system based on the geographic information system of claim 1 wherein the laser measuring unit comprises a ground laser total station, a hand-held laser range finder and a shielding recognition sensor, wherein the ground laser total station has high-precision ranging precision and supports angle measurement and coordinate direct output, high-precision complement measurement is completed for a shielding area which cannot be covered by the unmanned aerial vehicle, the hand-held laser range finder realizes the dimension measurement of the indoor real estate and achieves the indoor and outdoor data fusion by virtue of portability advantages, the shielding recognition sensor is respectively arranged on the unmanned aerial vehicle and the total station, and the shielding object is judged through laser ranging and the complement measurement signal is triggered, so that the data integrity of air-ground collaborative mapping is ensured.
4. The real estate mapping system based on a geographic information system of claim 1 wherein the positioning enhancement unit comprises a GNSS reference station and an inertial navigation blind compensation module, wherein the GNSS reference station is fixed at a known coordinate point and continuously transmits differential signals to provide a unified positioning reference for the unmanned aerial vehicle and the ground measurement equipment, and when the GNSS signals are lost or disturbed, the inertial navigation blind compensation module is automatically started to realize short-term positioning compensation based on IMU data and a preset track, thereby ensuring the continuity of the whole measurement process.
5. The real estate mapping system based on the geographic information system as claimed in claim 1, characterized in that the data fusion calibration unit comprises a multi-medium coordinate conversion module and a time stamp synchronization module, wherein the multi-medium coordinate conversion module presets coordinate system conversion parameters of land, water area and shallow underground, coordinate unification of measurement data of different mediums is achieved through a coordinate conversion method, the time stamp synchronization module adds unified time stamps for multi-source acquisition data of each unit, synchronization of the multi-source data in time dimension is ensured, and data fusion precision is improved.
6. The real estate mapping system based on the geographic information system of claim 1 wherein the GIS processing unit includes a GIS server, a data processing workstation and a visual terminal, wherein the GIS server is carried with a custom real estate mapping geographic information database for storing high precision topographic data, ownership registration data and historical mapping results, the data processing workstation can complete classification of laser point cloud, denoising and multi-format result output, the visual terminal can display mapping progress, data quality and result preview in real time, and simultaneously support an operator to remotely control each measuring device for measurement while checking operation.
7. The real estate mapping system based on the geographic information system of claim 1 wherein the linkage check unit includes a equity data interface module and a boundary conflict check module, wherein the equity data interface module can interface with the real estate registration system and retrieve the historical equity registration data in real time, the boundary conflict check module adopts a geometric comparison method to compare the measured data with the historical registration data, automatically identifies the boundary conflict area and outputs a conflict report, providing a direct basis for equity validation.
8. The real estate mapping system based on the geographic information system as claimed in claim 1, wherein the standard system conversion parameters are used for realizing coordinate unification of measurement data of different media and correcting cross-media fusion deviation through a seven-parameter conversion method, and the timestamp synchronizing module is used for adding uniform timestamps for collected data of an unmanned plane, a total station and a reference station, ensuring synchronization of multi-source data in a time dimension and improving fusion precision.
9. The real estate mapping system based on the geographic information system of claim 1 wherein the equity data interface module invokes the historical equity registration data of the target area to the real estate registration system in real time, and the boundary conflict verification module performs superposition comparison of the actual measurement boundary point data and the historical registration data, automatically identifies and marks the boundary conflict area, and outputs a conflict report, providing basis for the right.
10. A method of using a real estate mapping system based on a geographic information system, based on the real estate mapping system of any of claims 1-9, characterized in that it comprises: Loading basic geographic data and rights registration data of a mapping area through a GIS processing unit, dividing land, water area and shallow underground of the mapping area, setting initial measurement parameters of each area, arranging GNSS reference stations in the area, and completing positioning calibration; The self-adaptive parameter adjusting module is used for adjusting the matched laser scanning frequency, flight height and camera exposure parameters from a preset parameter library according to the real estate type bridges, dykes and civil houses of each partition, and transmitting the parameters to the unmanned aerial vehicle mapping unit; Meanwhile, the ground laser total station carries out complement measurement on the interior of a building in an area which is not covered by the unmanned aerial vehicle and the bottom of a bridge, a shielding recognition sensor monitors shielding conditions in real time, and if shielding is found, unmanned aerial vehicle track adjustment or ground complement measurement is triggered; In a strong electromagnetic interference or signal shielding area, the positioning enhancement unit is automatically switched to an inertial navigation blind compensation mode, the positioning accuracy is maintained by combining IMU data and a preset track, and the positioning enhancement unit is automatically switched back to a differential positioning mode after GNSS signals are recovered, so that continuous positioning is ensured; The data fusion calibration unit unifies the time reference of the multi-source data through the time stamp synchronization module, completes coordinate unification of different partition data by utilizing the multi-medium coordinate conversion module, performs denoising and classification treatment on the laser point cloud, and fuses the laser point cloud with the visible light image to generate a three-dimensional point cloud model; The GIS processing unit generates results such as an orthophoto map, a three-dimensional model, a religion map and the like based on the calibrated data, stores the results in a geographic information database and outputs the results.

Description

Real estate mapping system and method based on geographic information system Technical Field The invention relates to the technical field of geographic mapping, in particular to a real estate mapping system and method based on a geographic information system. Background At present, along with the rapid promotion of infrastructure construction in China, the real estate mapping requirements are increasingly diversified, and particularly, the real estate mapping around road and bridge engineering faces many challenges such as complex terrain, fuzzy rights and rights boundaries, bad measuring environment and the like. Currently, a fusion mapping scheme based on a Geographic Information System (GIS), a laser measuring instrument and an unmanned aerial vehicle technology gradually replaces traditional manual mapping, but a plurality of technical bottlenecks still exist in practical application: The prior art focuses on real estate mapping of single medium pure land and pure water areas, and for the common cross-medium real estate bridge affiliated water areas, dykes and dams linking areas, shallow underground pipe networks and ground building linkage areas of road and bridge engineering, a mapping scheme with pertinence is lacking, so that coordinate system deviation exists in measurement data of different medium areas, the data fusion difficulty is high, and the precision is difficult to guarantee. Meanwhile, under a dynamic construction scene, factors such as temporary structure shielding, construction vibration and the like are easy to cause mapping data faults, the existing system cannot realize automatic identification and accurate complement measurement of a shielding area, manual secondary approach is needed, and the system is low in efficiency and high in cost. In addition, the measurement parameters of the existing mapping system, such as laser scanning frequency, unmanned aerial vehicle flight height and data sampling interval, are mostly fixed, and cannot be adaptively adjusted according to physical characteristics of real estate type bridge pier columns, water area dykes and dams and old buildings, so that the recognition accuracy of auxiliary embedded parts and dykes and dams cracks of a micro-structure road bridge is insufficient, or the mapping efficiency of a large-area open area is low. In a complex signal environment, a strong electromagnetic interference area around road and bridge engineering and a dense forest area are prone to shielding or interference of GNSS positioning signals, the conventional system depends on a single positioning mode, stable high-precision positioning is difficult to maintain, and reliability of mapping results is affected. In addition, the prior art fails to realize real-time linkage calibration of mapping data and real estate registration data, mapping results can adapt to registration requirements through multiple rounds of manual check, and particularly in joint areas of collective lands and national construction lands related to road and bridge engineering, mapping data of rights and borders and historical registration data are easy to collide, and an automatic border calibration mechanism is lacked, so that the right confirmation efficiency is low. These problems limit the application efficiency of real estate mapping in road and bridge engineering and related fields, and no effective solution has been proposed in the prior art. Aiming at the common land, water area and shallow underground medium-crossing real estate scenes of road and bridge engineering, the prior art lacks a coordinate system-mechanism of multi-medium adaptation, so that significant deviation occurs when laser measurement data of different medium areas are fused with unmanned aerial vehicle image data, and the space boundary and the ownership range of the medium-crossing real estate cannot be accurately represented. In the road bridge construction process, dynamic shielding objects such as temporary surrounding blocks and construction machinery are easy to cause mapping blind areas, an existing system cannot automatically identify the shielding areas and trigger the complement measurement flow, so that faults occur in mapping data, and the time stamps of the complement measurement data and original data are not matched, and continuity and timeliness of results are affected. The physical characteristics of the auxiliary building of different types of real estate bridges, the dykes and dams of water areas and old civil houses have obvious surface reflectivity, structural complexity and space scale difference, the existing system adopts fixed measurement parameters, so that the effect of measuring oversampling of bridge steel structures with high reflectivity and undersampling of dykes and dams vegetation areas with low reflectivity is poor, and the accuracy and efficiency are considered. High-voltage lines and large machines around road and bridge engineering generate strong electromagnetic inte