CN-122024171-A - Slag yard monitoring and early warning method based on separated model data management and terminal equipment

CN122024171ACN 122024171 ACN122024171 ACN 122024171ACN-122024171-A

Abstract

The invention discloses a slag yard monitoring and early warning method and terminal equipment based on separated model data management, belongs to the technical field of engineering monitoring, and can solve the problems of low efficiency, insufficient precision and information rupture of the existing slag yard monitoring. The method comprises the steps of S1, constructing a building information model and a current-period real model of a slag field, S2, respectively converting the building information model and the current-period real model into three-dimensional tile formats to correspondingly obtain a building display model and a real-scene display model, S3, performing spatial position fitting on point cloud data of the building information model and the current-period real-scene model, the real-scene display model and the calibrated building display model, S4, determining slag field construction difference data and slag field state change data, and S5, determining slag field early warning information according to the slag field construction difference data and the slag field state change data. The invention is used for slag field monitoring and early warning.

Inventors

BIAN ZHIGANG
LI HU
Bao Aruhan
SONG AN
MA HONGBIN
Xu Motao
TIAN NING

Assignees

中国电建集团西北勘测设计研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20260401

Claims (10)

1. A slag yard monitoring and early warning method based on separated model data management is characterized by comprising the following steps: S1, constructing a building information model of a slag field according to reconnaissance design data of the slag field, and constructing a current-period live-action model of the slag field according to slag field oblique photographing data acquired at the current acquisition moment; s2, respectively converting the building information model and the current-period live-action model into a three-dimensional tile format, and correspondingly obtaining a building display model and a live-action display model; s3, carrying out coordinate system calibration on the building display model, and carrying out space position fitting on the point cloud data of the building information model and the current-period live-action model and the live-action display model and the calibrated building display model; s4, determining slag field construction difference data according to the fitted point cloud data of the building information model and the current live-action model, and determining slag field state change data according to the current live-action model and the point cloud data of the last live-action model corresponding to the last acquisition moment; S5, determining slag field early warning information according to the slag field construction difference data and the slag field state change data.
2. The method according to claim 1, wherein the coordinate system calibration of the building display model in S3 is specifically: Base point coordinates are added to the building display model to convert the building display model from a local coordinate system to a geographic coordinate system.
3. The method of claim 1, wherein the slag yard construction difference data comprises a square difference data, a slag pile profile difference data, a slope ratio difference data, and a water conservation environmental protection difference data.
4. A method according to claim 3, wherein the determining, in S4, the difference data of the square difference according to the fitted point cloud data of the building information model and the current live-action model specifically includes: calculating the current actual square quantity of the slag field by using a square grid method according to the point cloud data of the current actual scene model; And extracting the current design party quantity of the slag field from the point cloud data of the building information model, and acquiring the difference value between the current design party quantity and the current actual party quantity as party quantity difference data.
5. The method according to claim 3, wherein the determining slope ratio difference data according to the fitted point cloud data of the building information model and the current live-action model in S4 specifically includes: calculating the current actual slope ratio of the slag field by using a triangulation network method according to the point cloud data of the current actual scene model; And extracting the current period design slope ratio of the slag field from the point cloud data of the building information model, and acquiring the difference value between the current period design slope ratio and the current period actual slope ratio as the difference data of the square quantity.
6. The method of claim 3, wherein the slag field state change data includes fill rate data and slag pile height change data.
7. The method of claim 6, wherein the slag yard pre-warning information comprises square variation pre-warning information, design compliance pre-warning information, construction safety pre-warning information, and water conservation environmental protection pre-warning information; The step S5 specifically comprises the following steps: And determining square quantity change early warning information according to the square quantity difference data and the filling rate data, determining design compliance early warning information according to the slag pile contour difference data and the slag pile height change data, determining construction safety early warning information according to the slope ratio difference data, and determining water-conservation environment-protection early warning information according to the water-conservation environment-protection difference data.
8. The method according to claim 1, characterized in that before said S1, the method further comprises: Constructing a parameterized design tool of a slag field; And in the step S1, building a building information model of the slag field according to the survey design data of the slag field, specifically, building the building information model of the slag field through the parameterized design tool according to the survey design data of the slag field.
9. The method according to claim 1, characterized in that before said S1, the method further comprises: And selecting an unmanned aerial vehicle acquisition mode according to the monitoring scene, and acquiring slag field oblique photography data by utilizing the unmanned aerial vehicle acquisition mode.
10. Terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the slag yard monitoring and early warning method based on split model data management as claimed in any one of claims 1 to 9 when the computer program is executed.

Description

Slag yard monitoring and early warning method based on separated model data management and terminal equipment Technical Field The invention relates to a slag yard monitoring and early warning method and terminal equipment based on separated model data management, and belongs to the technical field of engineering monitoring. Background The construction scale of the hydropower engineering and the pumped storage project is large, the construction period is long, a large amount of engineering waste slag is inevitably generated, and a large-scale waste slag field is formed. The slag fields generally have the characteristics of high side slope, large square quantity, complex geological conditions and the like, and whether the construction process can be effectively monitored and early warned directly relates to the safety of main engineering, the protection of surrounding environment and the effect of source balance. Therefore, the effective monitoring of the stability, the filling quantity and the construction compliance of the slag yard is important. Currently, the traditional slag field monitoring and managing method is used for periodically measuring preset discrete points on the surface of the slag field, and has the inherent defects of low efficiency, narrow coverage, high safety risk and the like. For slag fields with complex terrains and wide range, manual measurement is time-consuming and labor-consuming, the acquired data are sparse 'point' -shaped information, and the deformation situation and the square quantity change of the surface of the whole slag field cannot be comprehensively and truly reflected. In addition, the application of BIM (Building Information Modeling, building information model) technology alone generates only static or preset "as-built states", and it is difficult to actually feed back the construction process. Single oblique photography applications, while truly reflecting the morphology of the earth's surface, lack design intent and information bearing. The existing monitoring system is arranged by a plurality of sensors, has the problems of high cost, limited coverage range and incomplete surface displacement monitoring, and commonly has the phenomenon of 'information island', namely, the design information, the monitoring data and the early warning management are mutually fractured, a BIM model, live-action data and business management and control flow do not form a closed loop, meanwhile, the traditional model processing mode adopts a mode of 'display and calculation integration', if the loading performance is pursued, the calculation precision is sacrificed, if the loading is blocked, if the precision is reserved, the loading is not suitable for the high-frequency dynamic monitoring of a slag yard and the multi-user collaborative management and control requirement, the key problems of supervision lag, decision lack of data support, difficulty in finding out the overdrawing and superfilling in time, the slope is not up to standard, the water and soil conservation facility is invalid and the like are caused, and the fine management and control requirement of a large-scale hydropower project cannot be met. Disclosure of Invention The invention provides a slag yard monitoring and early warning method and terminal equipment based on separated model data management, which can solve the problems of low efficiency, insufficient precision and information cracking of the existing slag yard monitoring. In one aspect, the invention provides a slag yard monitoring and early warning method based on separated model data management, which comprises the following steps: S1, constructing a building information model of a slag field according to reconnaissance design data of the slag field, and constructing a current-period live-action model of the slag field according to slag field oblique photographing data acquired at the current acquisition moment; s2, respectively converting the building information model and the current-period live-action model into a three-dimensional tile format, and correspondingly obtaining a building display model and a live-action display model; s3, carrying out coordinate system calibration on the building display model, and carrying out space position fitting on the point cloud data of the building information model and the current-period live-action model and the live-action display model and the calibrated building display model; s4, determining slag field construction difference data according to the fitted point cloud data of the building information model and the current live-action model, and determining slag field state change data according to the current live-action model and the point cloud data of the last live-action model corresponding to the last acquisition moment; S5, determining slag field early warning information according to the slag field construction difference data and the slag field state change data. Optionally, in S3, the performing coord