CN-121981945-A - Concrete cast-in-situ quality monitoring method and system

CN121981945ACN 121981945 ACN121981945 ACN 121981945ACN-121981945-A

Abstract

The invention provides a concrete cast-in-place quality monitoring method and system, the concrete cast-in-place quality monitoring method comprises the following steps of obtaining multi-mode image data of a concrete cast-in-place area, wherein the multi-mode image data at least comprises a near infrared image and a visible light image, the near infrared image is used for collecting topological characteristics of aggregate distribution, the visible light image is used for collecting surface defect characteristics, the multi-mode image data are fused to obtain fusion information, dynamic evaluation indexes reflecting the contact network state of concrete aggregate and the damage degree of the surface defect are calculated through a quantitative analysis model based on the fusion information, and comprehensive scores of the current casting construction quality are generated through a pre-built time sequence analysis model based on the dynamic evaluation indexes of time sequences. The concrete cast-in-situ quality monitoring method realizes real-time monitoring of aggregate distribution state and surface defects in the concrete cast-in-situ process, and provides reliable basis for construction technology.

Inventors

FENG YU
FANG TINGCHEN
ZHANG MING
MA WEI

Assignees

上海建工集团股份有限公司

Dates

Publication Date: 20260505
Application Date: 20251212

Claims (10)

1. The concrete cast-in-situ quality monitoring method is characterized by comprising the following steps of: S1, acquiring multi-mode image data of a concrete cast-in-place area, wherein the multi-mode image data at least comprises a near infrared image and a visible light image, the near infrared image is used for collecting topological features of aggregate distribution, the visible light image is used for collecting surface defect features, and the multi-mode image data are fused to obtain fusion information; s2, calculating dynamic evaluation indexes reflecting the contact network state and the surface defect hazard degree of the concrete aggregate through a quantitative analysis model based on the fusion information; And S3, generating a comprehensive score of the current pouring construction quality through a pre-established time sequence analysis model based on the dynamic evaluation index of the time sequence.
2. The method for monitoring the quality of concrete cast-in-situ as claimed in claim 1, wherein the step S1 of fusing the multi-modal image data comprises the steps of: S11, preprocessing the near infrared image to strengthen aggregate boundaries and internal textures; S12, performing vapor removal and glare suppression treatment on the visible light image; And S13, performing pixel level or feature level fusion on the processed near infrared image and visible light image to generate fusion information.
3. The method for monitoring the concrete cast-in-situ quality according to claim 2, wherein the visible light image is preprocessed by an illumination compensation model, and the illumination compensation model is as follows: Wherein I correct is the average brightness of the compensated image, I raw is the average brightness of the visible light image, mu shadow is the pixel mean value of a shadow area in the image, sigma highlight is the pixel brightness variance of a highlight area, and k dynamic is a dynamic adjustment coefficient related to vibration frequency.
4. The method for monitoring the quality of concrete cast-in-situ according to claim 1 or 2, wherein in the step S2, calculating the condition of the concrete aggregate contact network comprises: dividing and skeletonizing aggregate characteristics in the fusion information to generate an aggregate network diagram; based on the aggregate network map, calculating at least one of network node degree, contact point density or network connectivity parameters as a first type of dynamic evaluation index, and/or, In the step S2, calculating the dynamic evaluation index of the surface defect hazard degree includes: identifying surface bubble defects in the fusion information, and calculating at least one of the total defect area, the maximum defect diameter or the defect number; and calculating a bubble influence factor based on the total defect area, the maximum defect diameter or the defect number through a predefined mapping relation, and taking the bubble influence factor as a second type of dynamic evaluation index.
5. The method for monitoring the quality of concrete cast-in-situ according to claim 4, wherein the calculation formula of the density of the contact point is: CPD is the density of contact points, N contact is the number of aggregate contact points in unit area, A unit is unit area, delta theta is the included angle between adjacent aggregates, and k and theta 0 are morphological experience parameters based on aggregate type and grading calibration; the calculation formula of the bubble influence factor is as follows: Wherein BIF is a bubble influence factor, A bubble,i is the area of the ith bubble, A is the total area of the detection area, d i is the distance from the center of the ith bubble to the surface of the nearest reinforcing steel bar, N is the total number of bubbles in the detection area, and i is a positive integer greater than or equal to 1.
6. The method for monitoring the cast-in-situ quality of concrete according to claim 1, wherein in the step S3, the pre-built time sequence analysis model is a casting quality attenuation function, and a formula of the casting quality attenuation function is as follows: Wherein T is the vibrating time, Q 0 is the initial quality score determined based on the initial dynamic evaluation index, lambda is the segregation attenuation coefficient, beta is the vibrating period intensity factor, and T vibrate is the working period of the vibrating equipment.
7. The method for monitoring the quality of concrete cast-in-situ as claimed in claim 6, wherein the step S3 comprises: And determining optimal vibrating time based on the pouring quality attenuation function, calculating the ratio of the actual vibrating time to the optimal vibrating time, and judging the time sequence quality of vibrating construction according to the ratio.
8. The method for monitoring the quality of concrete cast-in-situ according to claim 1, wherein the near infrared image and the visible light image in the step S1 are acquired by two cameras arranged on the concrete vibrating equipment, and the two camera fields of view cover the vibrating bar action area.
9. A concrete cast-in-place quality monitoring system, comprising: The multi-mode image fusion module is used for acquiring multi-mode image data of a concrete cast-in-place area, wherein the multi-mode image data at least comprises a near infrared image and a visible light image, the near infrared image is used for acquiring topological features of aggregate distribution, the visible light image is used for acquiring surface defect features, and the multi-mode image data are fused to obtain fusion information; The quantitative analysis module is used for calculating dynamic evaluation indexes reflecting the contact network state of the concrete aggregate and the damage degree of the surface defects through a quantitative analysis model based on the fusion information; The time sequence analysis and scoring module is used for generating comprehensive scores of the current pouring construction quality through a pre-built time sequence analysis model based on the dynamic evaluation indexes of the time sequence.
10. The concrete cast-in-place quality monitoring system of claim 9, wherein the system employs a lightweight edge computing architecture.

Description

Concrete cast-in-situ quality monitoring method and system Technical Field The invention belongs to the technical field of concrete construction detection, and particularly relates to a concrete cast-in-situ quality monitoring method and system. Background The concrete cast-in-situ construction is a core procedure in the construction of infrastructures such as constructional engineering, bridge engineering, hydraulic engineering and the like, and the construction quality directly determines the strength, durability and safety of an engineering structure. Key influencing factors of concrete cast-in-situ quality include aggregate distribution uniformity, surface defect (such as bubbles and cracks) control, vibration process parameter matching and the like. The traditional concrete cast-in-situ quality monitoring method mainly relies on manual inspection, sampling detection or post-nondestructive detection (such as ultrasonic detection and rebound method), and has the following problems: The manual inspection is greatly influenced by subjective experience, the detection precision is low, the efficiency is low, dynamic quality change in the construction process is difficult to capture in real time, sampling detection belongs to destructive detection, full-area coverage monitoring cannot be realized, the detection result is delayed in the construction process, construction adjustment cannot be guided in time, nondestructive detection after the fact can realize nondestructive detection, but the construction quality cannot be fed back in real time, the method can only be used for later quality evaluation, and quality hidden danger generated in the construction process is difficult to avoid. In the prior art, an image-based concrete quality monitoring method is also presented, but most of the method only adopts a single-mode image (such as a visible light image), only can capture surface defect information, cannot acquire topological characteristics of aggregate distribution in concrete, causes single quality evaluation dimension, and is difficult to comprehensively reflect concrete cast-in-situ quality. Disclosure of Invention The invention provides a method and a system for monitoring concrete cast-in-situ quality, which realize real-time monitoring of aggregate distribution state and surface defects in the concrete cast-in-situ process and provide reliable basis for construction technology. The technical scheme of the invention is as follows: A concrete cast-in-situ quality monitoring method comprises the following steps: S1, acquiring multi-mode image data of a concrete cast-in-place area, wherein the multi-mode image data at least comprises a near infrared image and a visible light image, the near infrared image is used for collecting topological features of aggregate distribution, the visible light image is used for collecting surface defect features, and the multi-mode image data are fused to obtain fusion information; s2, calculating dynamic evaluation indexes reflecting the contact network state and the surface defect hazard degree of the concrete aggregate through a quantitative analysis model based on the fusion information; And S3, generating a comprehensive score of the current pouring construction quality through a pre-established time sequence analysis model based on the dynamic evaluation index of the time sequence. Further, in the method for monitoring the cast-in-situ quality of concrete, in the step S1, the step of fusing the multi-mode image data includes the following steps: S11, preprocessing the near infrared image to strengthen aggregate boundaries and internal textures; S12, performing vapor removal and glare suppression treatment on the visible light image; And S13, performing pixel level or feature level fusion on the processed near infrared image and visible light image to generate fusion information. Further, in the concrete cast-in-situ quality monitoring method, a visible light image is preprocessed by adopting an illumination compensation model, wherein the illumination compensation model is as follows: Wherein I correct is the average brightness of the compensated image, I raw is the average brightness of the visible light image, mu shadow is the pixel mean value of a shadow area in the image, sigma highlight is the pixel brightness variance of a highlight area, and k dynamic is a dynamic adjustment coefficient related to vibration frequency. Further, in the method for monitoring the cast-in-situ quality of concrete, in the step S2, calculating and reflecting the contact network state of the concrete aggregate includes: dividing and skeletonizing aggregate characteristics in the fusion information to generate an aggregate network diagram; based on the aggregate network map, calculating at least one of network node degree, contact point density or network connectivity parameters as a first type of dynamic evaluation index, and/or, In the step S2, calculating the dynamic evaluation in