CN-121999409-A - Real-time monitoring method, device, equipment, medium and product for construction engineering quantity

CN121999409ACN 121999409 ACN121999409 ACN 121999409ACN-121999409-A

Abstract

The invention relates to the technical field of construction monitoring and discloses a method, a device, equipment, a medium and a product for monitoring construction engineering quantity in real time, wherein the method comprises the steps of collecting video monitoring data and point cloud data; the method comprises the steps of establishing a reference coordinate system of a construction site, establishing a mapping relation between initial point cloud data, initial video monitoring data and the reference coordinate system, obtaining estimated party quantity data in a preset time interval based on the video monitoring data, determining point cloud data corresponding to the video monitoring data space, calculating actual party quantity data according to the point cloud data, and correcting single operation party quantity of earth moving machinery equipment by means of a comparison result of the actual party quantity data and the estimated party quantity data. According to the invention, the point cloud data and the video data are fused according to the unified reference coordinate system, so that the video data and the point cloud data are simultaneously owned in the same construction site, and the video monitoring data are corrected according to the comparison result of the video data and the point cloud data, thereby achieving the effect of obtaining the accurate engineering quantity of each earth mechanical device.

Inventors

ZHANG JUAN
XU LIZHI
LI XIANGQIAN
LIN ENDE
Fang Kuanda
HAN YIMING
YU QI

Assignees

中国长江三峡集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260120

Claims (11)

1. The method for monitoring the construction work quantity in real time is characterized by comprising the following steps of: in a preset time interval, initial video monitoring data and periodic initial point cloud data in a construction site are collected in real time; setting a plurality of primary control points, and establishing a reference coordinate system of the construction site according to the primary control points; Establishing a spatial mapping relation among the initial point cloud data, the initial video monitoring data and the reference coordinate system to obtain point cloud data and video monitoring data under the reference coordinate system; identifying the operation behavior of the earth moving machinery equipment based on the video monitoring data, and calculating to obtain estimated square quantity data in a preset time interval based on operation behavior characteristics; Determining point cloud data corresponding to the video monitoring data space in the reference coordinate system, and calculating actual square quantity data in a preset time interval according to the point cloud data difference of adjacent time nodes; and correcting the single operation party amount of the earth moving mechanical equipment by using the comparison result of the actual party amount data and the estimated party amount data to obtain corrected party amount process data.
2. The method of claim 1, wherein the establishing the spatial mapping relationship between the initial point cloud data, the initial video monitoring data and the reference coordinate system to obtain the point cloud data and the video monitoring data in the reference coordinate system comprises: A plurality of secondary control points are distributed in a construction site; determining coordinate information of each secondary control point in the construction site in the initial point cloud data; according to the coordinate information of each secondary control point in the initial point cloud data and the coordinate information of each secondary control point in the reference coordinate system, calculating a rigid transformation matrix of the initial point cloud data, and accordingly determining the spatial mapping relation between the initial point cloud data and the reference coordinate system; And mapping the initial point cloud data into the reference coordinate system according to the mapping relation to obtain the point cloud data.
3. The method according to claim 2, wherein the establishing the spatial mapping relationship between the initial point cloud data, the initial video monitoring data and the reference coordinate system to obtain the point cloud data and the video monitoring data in the reference coordinate system includes: mapping the coordinate information of the secondary control points in the construction site in the reference coordinate system to the camera coordinate system to obtain the coordinate information of each secondary control point in the camera coordinate system; Mapping the coordinate information of each secondary control point in a camera coordinate system to initial video monitoring data to obtain image pixel coordinates of each secondary control point in the initial video monitoring data; According to the coordinate information of each secondary control point in a reference coordinate system and the image pixel coordinates of each secondary control point in the initial video monitoring data, calculating a camera external reference matrix of the video monitoring data, and combining an internal reference model of a camera, thereby determining the spatial mapping relation between the initial video monitoring data and the reference coordinate system; and mapping the initial video monitoring data into the reference coordinate system according to the mapping relation to obtain the video monitoring data.
4. The method of claim 1, wherein the setting a plurality of primary control points and establishing a reference coordinate system of the construction site based on the primary control points comprises: a plurality of primary control points are arranged outside a construction site; taking any first primary control point in the primary control points as an origin of a reference coordinate system; acquiring a second-stage control point except an origin, and defining the direction of the origin pointing to the second-stage control point as a transverse axis; And acquiring a third-level control point except the original point and the second-level control point, defining a reference plane of a reference coordinate system based on planes determined by the original point, the second-level control point and the third-level control point, and determining a longitudinal axis and a vertical axis according to the reference plane so as to construct the reference coordinate system.
5. The method according to claim 4, wherein the method further comprises: Dividing the construction site into a plurality of construction sections; Dividing the video monitoring data into segmented video monitoring data corresponding to each construction section, analyzing each earth mechanical device of each construction section based on each segmented video monitoring data to obtain a plurality of estimated party amount process data of each construction section, and calculating to obtain estimated party amount data of each construction section in a preset time interval according to the estimated party amount process data; Dividing the point cloud data into segmented point cloud data corresponding to each construction section respectively, and calculating actual square quantity data of each construction section in a preset time interval according to the segmented point cloud data of each construction section adjacent twice; calculating the square quantity correction coefficient of each construction section in the preset time interval according to the actual square quantity data and the estimated square quantity data of each construction section, and correcting each estimated square quantity process data according to the correction coefficient of each construction section to obtain square quantity process data.
6. The method of claim 5, wherein dividing the point cloud data into segmented point cloud data corresponding to each of the construction segments comprises: a plurality of secondary control points are distributed in each construction section and at the edge of each construction section; calibrating the positions of the points in the point cloud data according to the positions of the secondary control points in the point cloud data and the coordinates of the secondary control points in a reference coordinate system to obtain the coordinate data of the points in the point cloud data in the reference coordinate system; and cutting the point cloud data according to the coordinate data of the secondary control points at the edge of each construction section and the coordinate data of each point in the point cloud data in a reference coordinate system to obtain segmented point cloud data corresponding to each construction section.
7. The method of claim 5, wherein dividing the video monitoring data into segmented video monitoring data corresponding to each of the construction segments, comprises: projecting the secondary control points at the edges of each construction section to a two-dimensional plane where the video monitoring data are located, and obtaining the positions of the secondary control points in the video monitoring data; and dividing the video monitoring data according to the positions of the secondary control points at the edge of each construction section in the video monitoring data to obtain segmented video monitoring data corresponding to each construction section.
8. A real-time monitoring device for construction work amount, characterized in that the device comprises: the data acquisition module is used for acquiring initial video monitoring data and periodic initial point cloud data in the construction site in real time within a preset time interval; The coordinate building module is used for setting a plurality of primary control points and building a reference coordinate system of the construction site according to the primary control points; The data fusion module is used for establishing a spatial mapping relation between the initial point cloud data, the initial video monitoring data and the reference coordinate system to obtain point cloud data and video monitoring data under the reference coordinate system; Fang Liang estimation module, which is used for identifying the operation behavior of the earth machinery equipment based on the video monitoring data and calculating based on the operation behavior characteristics to obtain the estimated square quantity data in the preset time interval; The square quantity calculating module is used for determining point cloud data corresponding to the video monitoring data space in the reference coordinate system and calculating actual square quantity data in a preset time interval according to the point cloud data difference of the adjacent time nodes; and the square quantity correction module is used for correcting the single operation square quantity of the earth moving mechanical equipment by utilizing the comparison result of the actual square quantity data and the estimated square quantity data to obtain corrected square quantity process data.
9. An electronic device, comprising: The system comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, so that the real-time monitoring method of the construction engineering quantity is executed.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to execute a construction work amount real-time monitoring method according to any one of claims 1 to 7.
11. A computer program product comprising computer instructions for causing a computer to perform a method of monitoring the amount of work in real time as claimed in any one of claims 1 to 7.

Description

Real-time monitoring method, device, equipment, medium and product for construction engineering quantity Technical Field The invention relates to the technical field of construction quantity monitoring, in particular to a method, a device, equipment, a medium and a product for monitoring construction engineering quantity in real time. Background The accuracy and timeliness of the square calculation of the earth and stone excavation or backfill of the slope engineering directly influence the construction progress, the cost control and the engineering settlement. However, the current periodic measurement method based on three-dimensional laser scanning, unmanned aerial vehicle aerial survey and the like can provide a higher-precision periodic result, but the single measurement cost is higher, and the measurement is 'post-hoc', so that real-time dynamic feedback and management of the construction process cannot be performed, and the real-time information requirement of construction process management such as construction equipment scheduling cannot be met. The traditional video monitoring method can analyze the construction process of the side slope based on mass unstructured video data, but cannot acquire the regional positioning of excavation or backfill analysis results, so that the actual requirement of engineering high-precision metering is difficult to meet. Disclosure of Invention The invention provides a method, a device, equipment, a medium and a product for monitoring the construction engineering quantity in real time, which are used for solving the problem that the periodic measurement method cannot feed back and manage the construction process in real time and dynamically and the precision of the traditional video monitoring method is insufficient. In a first aspect, the present invention provides a method for monitoring construction work amount in real time, including: in a preset time interval, initial video monitoring data and periodic initial point cloud data in a construction site are collected in real time; setting a plurality of primary control points, and establishing a reference coordinate system of a construction site according to the primary control points; Establishing a space mapping relation between initial point cloud data, initial video monitoring data and a reference coordinate system to obtain point cloud data and video monitoring data under a unified coordinate system; Identifying the operation behavior of the earth machinery equipment based on the video monitoring data, and calculating to obtain estimated party quantity data in a preset time interval based on the operation behavior characteristics; in a reference coordinate system, determining point cloud data corresponding to the video monitoring data space, and calculating actual square quantity data in a preset time interval according to the point cloud data difference of adjacent time nodes; And correcting the single operation party quantity of the earth moving equipment by using a comparison result of the actual party quantity data and the estimated party quantity data to obtain corrected party quantity process data. In the calculation process, a reference coordinate system is established according to the first-level control point, and in the subsequent calculation process, the positioning of the point cloud data and the conversion from the initial video monitoring data to the video monitoring data are obtained by calculation according to the coordinates in the reference coordinate system, so that the fusion of the point cloud data and the video data is realized on the basis of calculation by taking the reference coordinate system as a calculation basis, and the two accurate measurement data of the point cloud data and the video data are simultaneously possessed in the same construction site. Since the estimated party amount data is calculated by analyzing the estimated party amount process data of the mechanical equipment in the video monitoring data, an error is generated with the actual party amount in the analysis process. The point cloud data has higher accuracy in terms of the volume calculation, so that the correction coefficient for correcting the error of the estimated volume data is calculated by combining the actual volume data and the estimated volume data calculated by the point cloud data, and the estimated volume process data under the estimated volume data is corrected by the correction coefficient, so that more accurate estimated volume process data is obtained. In an alternative embodiment, establishing a spatial mapping relation between the initial point cloud data, the initial video monitoring data and the reference coordinate system to obtain the point cloud data and the video monitoring data under the reference coordinate system, including: The method comprises the steps of arranging a plurality of secondary control points in a construction site, determining coordinate information of each secondary con