Unlock instant, AI-driven research and patent intelligence for your innovation.

A monitoring method of foundation pit based on visual measurement

A visual measurement and foundation pit technology, which is applied in the field of foundation soil survey, infrastructure engineering, construction, etc., can solve the problem of costly manpower, rare urban foundation pit projects, and can not really play the role of optimal design and timely feedback guidance Construction and other issues, to achieve the effect of improving measurement accuracy and reducing camera calibration errors

Inactive Publication Date: 2019-04-26
SUZHOU UNIV OF SCI & TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, there are few urban foundation pit projects that can truly successfully implement information-based construction
Most of the foundation pit monitoring work only plays some simple feedback functions, and cannot ultimately make the feedback of monitoring results reach a deeper level
At present, most monitoring units attach great importance to instrument burial and data collection, and despise data analysis and feedback. They are only satisfied with collecting data, submitting data and reports, performing simple analysis, judging whether the control value is exceeded, and calling the police. They cannot combine construction and geological conditions for monitoring results. Sufficient and in-depth theoretical analysis leads to the fact that the monitoring work that takes a lot of manpower and resources cannot really play the role of optimizing design and timely feedback to guide construction

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A monitoring method of foundation pit based on visual measurement
  • A monitoring method of foundation pit based on visual measurement
  • A monitoring method of foundation pit based on visual measurement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] This embodiment discloses a method for monitoring a foundation pit based on visual measurement, which includes the following steps:

[0087] S101 Arrangement of detection points: Use road spikes or steel bars with cross wires as detection points, and the detection points shall be reinforced with concrete;

[0088] S102 Determine monitoring accuracy, monitoring items and monitoring frequency;

[0089] S103 Optimizing center positioning: after obtaining the digital color image, perform grayscale conversion, and then obtain the optimal coordinates of multiple target centers through noise removal, multi-target area recognition, and target center calculation;

[0090] S104 uses error compensation to reduce camera calibration errors and improve recognition accuracy;

[0091] S105 establishes a hierarchical component library oriented to the field of construction engineering, and then performs component search based on 3D similarity to realize real-time simulation of parametri...

Embodiment 2

[0094] The specific monitoring scheme in Example 2 is based on the method disclosed in Example 1, specifically including:

[0095] 1. Layout of monitoring points

[0096] In order to accurately reflect the horizontal and vertical displacement of the top of the enclosure structure and control the deformation at the section of each structure type, monitor the buried monitoring points on the top of the enclosure structure, using road spikes or steel bar marks with a length of about 10cm with cross wires as points , the points are reinforced with concrete.

[0097] 2. Foundation pit monitoring and simulation

[0098] 2.1 Solutions to improve measurement accuracy

[0099] 2.1.1 Multi-objective optimization target center

[0100] In order to improve the measurement accuracy, in this embodiment, firstly, the method of multi-objective optimization of the target point center is used to identify the center of the monitoring point.

[0101] In this embodiment, a multi-target point ce...

Embodiment 3

[0127] Embodiment Aiming at the design and construction of a large-scale deep foundation pit support project, the system was used to complete the previous three-dimensional design simulation, real-time simulation and simulation of the construction process, and achieved better spatial performance effects.

[0128] The comparison results between the deformation data of foundation pit support structure simulated by this method and the actual data are shown in Table 1. The data error is small, which fully shows that the simulation result data is highly consistent with the actual data, and the hidden dangers of the foundation pit support project of the visiting team play an early warning role.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention disclosed a monitoring method based on visual measurement foundation pit, including the following steps: S101 layout detection point; S102 determines the monitoring accuracy, monitoring items, and monitoring frequency;Multi -target area recognition and target center calculation to obtain the optimal coordinates of multiple target centers; S104 uses error compensation to reduce camera calibration errors and improve recognition accuracy; S105 establishs a hierarchical component library for construction engineering, and then based on three -dimensional similaritySearch for components to realize the three -dimensional model of the parameterized three -dimensional model; the S106 uses BP neural network to establish a foundation pit deformation prediction model to estimate and early warning the structural deformation possible in the foundation pit.The invention uses target center optimization technology to improve recognition, and then use error compensation to improve recognition accuracy from the perspective of reducing camera calibration errors.

Description

technical field [0001] The invention relates to the field of foundation pit monitoring, in particular to a method for monitoring foundation pits based on visual measurement. Background technique [0002] Foundation pit monitoring refers to the inspection and monitoring of building foundation pits and the surrounding environment within the construction and use period. The safety of the foundation pit is the key to the construction of the foundation pit. There are various related factors in the safety of the foundation pit. The impact on foundation pit soil is closely related. During the construction process of foundation pit excavation, the soil inside and outside the foundation pit changes from the original static earth pressure state to the active dynamic earth pressure state, and the deformation caused by the change of stress state, even if support measures are taken, a certain amount of deformation will always be is inevitable. These deformations include: the uplift of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): E02D1/00G06K9/62G06N3/04
CPCG06N3/04E02D1/00G06F18/23213
Inventor 卞恺慧吴宏杰陈成邱劲韦俊
Owner SUZHOU UNIV OF SCI & TECH