Horizontal resolution of high-frequency GPR antennas in concrete.

Horizontal resolution of high-frequency GPR antennas in concrete.

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Article
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In order to solve the current problems that conventional video inspection can only detect, as an internal pipeline defect and drainage pipeline radar inspection device detects in a single direction and at radar frequency in water pipeline defect detection, a three-channel drainage pipeline ground penetrating radar (GPR) inspection device was design...

Contexts in source publication

Context 1
... corrosion is usually most severe at the top of the pipeline, GPR technology is used to detect the depth of corrosion and determine defects in the pipeline. The depth and accuracy of detection depends on the frequency of the GPR antenna, as shown in Table 1. The waterproof pipeline robotics unit runs inside the pipe to detect defects in the pipe. ...
Context 2
... corrosion is usually most severe at the top of the pipeline, GPR technology is used to detect the depth of corrosion and determine defects in the pipeline. The depth and accuracy of detection depends on the frequency of the GPR antenna, as shown in Table 1. The three-channel GPR inspection device is composed of three channels, the angle between the three channels is 120 • , and each channel is composed of a video camera system and an antenna system. ...

Citations

... At present, the equipment for monitoring pipeline leakage distresses includes sound sensors, humidity sensors, and ground-penetrating radar. Humidity sensor [65][66][67][68] Ground-Penetrating Radar (GPR) [69][70][71][72][73] 3.2. Monitoring Technology Table 2 summarizes the representative research findings related to drainage facility distress detection, and the detailed applications are elaborated in the following subsections. ...
... Statistical analysis was carried out to evaluate the influence of soil characteristics on methane migration distance and concentration. Xu Maoxuan et al. [70] designed a threechannel ground-penetrating radar (GPR) detection device for drainage pipelines, which realized the synchronous detection of the interior, main body, and external environments of pipelines and improved the detection depth and efficiency. Savin Adriana et al. [71] used ground-penetrating radar to detect and evaluate underground drainage pipes passing through large building areas parallel to the riverbed. ...
Article
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The attributes of diversity and concealment pose formidable challenges in the accurate detection and efficacious management of distresses within subgrade structures. The onset of subgrade distresses may precipitate structural degradation, thereby amplifying the frequency of traffic incidents and instigating economic ramifications. Accurate and timely detection of subgrade distresses is essential for maintaining and repairing road sections with existing distresses. This helps to prolong the service life of road infrastructure and reduce financial burden. In recent years, the advent of numerous novel technologies and methodologies has propelled significant advancements in subgrade distress detection. Therefore, this review delineates a concentrated examination of subgrade distress detection, methodically consolidating and presenting various techniques while dissecting their respective merits and constraints. By furnishing comprehensive guidance on subgrade distress detection, this review facilitates the expedient identification and targeted treatment of subgrade distresses, thereby fortifying safety and enhancing durability. The pivotal role of this review in bolstering the construction and operational facets of transportation infrastructure is underscored.
... The research object of this study is the three-channel drainage pipeline radar detection device [2,3], which has been developed by the China University of Mining and Technology (Beijing) and is depicted in Figure 1. This device consists of a video system and a radar antenna system that are used to determine the corrosion depth of the pipe top and detect voids outside the pipe. ...
Article
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The pipeline ground-penetrating radar stands as an indispensable detection device for ensuring underground space security. A wheeled pipeline robot is deployed to traverse the interior of urban underground drainage pipelines along their central axis. It is subject to influences such as resistance, speed, and human factors, leading to deviations in its posture. A guiding wheel is employed to rectify its roll angle and ensure the precise spatial positioning of defects both inside and outside the pipeline, as detected by the radar antenna. By analyzing its deflection factors and correction trajectories, the intelligent correction control of the pipeline ground-penetrating radar falls into the realm of nonlinear multi-constraint optimization. Consequently, a time-series-based correction angle prediction algorithm is proposed. The application of the long short-term memory (LSTM) deep learning model facilitates the prediction of correction angles and torque for the guiding wheel. This study compares the performance of LSTM with an autoregressive integrated moving average model under identical dataset conditions. The subsequent findings reveal a reduction of 4.11° and 8.25 N·m in mean absolute error, and a decrease of 10.66% and 7.27% in mean squared error for the predicted correction angles and torques, respectively. These outcomes are achieved utilizing the three-channel drainage pipeline ground-penetrating radar device with top antenna operating at 1.2 GHz and left/right antennas at 750 MHz. The LSTM prediction model intelligently corrects its posture. Experimental results demonstrate an average correction speed of 5 s and an average angular error of ±1°. It is verified that the model can correct its attitude in real-time with small errors, thereby enhancing the accuracy of ground-penetrating radar antennas in locating pipeline defects.
... It seamlessly integrated into the sewer system without requiring extensive modifications or disruptions to normal operations [47]. The nonintrusive measurement techniques employed by the device also ensured minimal impact on the system's hydraulic performance and overall functionality [48]. The newly developed device brings forth numerous benefits for urban wastewater management systems [49]. ...
Article
Full-text available
Rainwater infiltration presents substantial challenges for urban wastewater management systems. This article delves into enhancing the quality of wastewater systems by proposing a novel device designed to tackle this issue comprehensively. The focal point of our research revolves around the conceptualization, construction, rigorous testing, and the potential multifaceted applications of this innovative wastewater device. Our study is dedicated to assessing the viability of a cutting-edge apparatus that empowers municipal entities in swiftly identifying rainwater ingress points within channels during precipitation events. Our findings vividly showcase the device’s remarkable capability to directly measure moisture levels along the channel’s path, eliminating the arduous need for manual data input, extensive data collection, and intricate water analysis procedures. To ensure the seamless flow of both sewage and water within the sewer channel, the use of a relatively slender strap is conventionally favored. However, factoring in the requisite structural robustness, we recommend a minimum thickness of 4 mm for 3D printing applications. For instances where maintaining the channel’s cross-sectional area integrity is paramount, opting for an armlet with a wet circuit measurement thickness of up to 7 mm is vital. In the realm of material selection, our investigation advocates for the utilization of PC/ABS (polycarbonate/Acrylonitrile Butadiene Styrene), ABS, ASA (Acrylonitrile Styrene Acrylate), or HIPS (High Impact Polystyrene) for strap housing. For sewer diameters surpassing 315 mm, the application of thin-walled PVC (Poly Vinyl Chloride) emerges as a practical recommendation. Notably, the incorporation of PVC flat bars is discouraged, as their presence might potentially hinder the fluidity of sewage flow, thereby compromising the precision of wet circuit measurements. The pivotal innovation lies in the armlet with a wet circuit measurement system, harboring immense potential for broad-scale integration across municipal facilities. This solution emerges as a streamlined and efficient strategy, offering a comprehensive avenue for continuously monitoring, fine-tuning, and optimizing the structural soundness and operational efficacy of sewer systems.
... It seamlessly integrated into the sewer system without requiring extensive modifications or disruptions to normal operations [51]. The nonintrusive measurement techniques employed by the device also ensured minimal impact on the system's hydraulic performance and overall functionality [52]. The newly developed device brings forth numerous benefits for urban wastewater management systems [53]. ...
Preprint
Full-text available
Rainwater infiltration presents substantial challenges for urban wastewater management systems. This article delves into enhancing the quality of wastewater systems by proposing a novel device designed to tackle this issue comprehensively. The focal point of our research revolves around the conceptualization, construction, rigorous testing, and the potential multifaceted applications of this innovative wastewater device. Our study is dedicated to assessing the viability of a cutting-edge apparatus that empowers municipal entities in swiftly identifying rainwater ingress points within channels during precipitation events. Our findings vividly showcase the device's remarkable capability to directly measure moisture levels along the channel's path, eliminating the arduous need for manual data input, extensive data collection, and intricate water analysis procedures. To ensure the seamless flow of both sewage and water within the sewer channel, the use of a relatively slender strap is conventionally favored. However, factoring in the requisite structural robustness, we recommend a minimum thickness of 4 mm for 3D printing applications. For instances where maintaining the channel's cross-sectional area integrity is paramount, opting for a armlet with wet circuit measurement thickness of up to 7 mm is prudent. In the realm of material selection, our investigation advocates for the utilization of PC/ABS (polycarbonate/ Acrylonitrile Butadiene Styrene), ABS, ASA (Acrylonitrile Styrene Acrylate), or HIPS (High Impact Polystyrene) for the strap housing. For sewer diameters surpassing 315 mm, the application of thin-walled PVC (Poly Vinyl Chloride) emerges as a practical recommendation. Notably, the incorporation of PVC flat bars is discouraged, as their presence might potentially hinder the fluidity of sewage flow, thereby compromising the precision of wet circuit measurements. The pivotal innovation lies in the armlet with wet circuit measurement system, harboring immense potential for broad-scale integration across municipal facilities. This solution emerges as a streamlined and efficient strategy, offering a comprehensive avenue for continuously monitoring, fine-tuning, and optimizing the structural soundness and operational efficacy of sewer systems.
Article
Cavities beneath urban roads pose a growing threat to traffic safety, mainly due to leakage from subsurface pipelines. Ground Penetrating Radar (GPR) and Pipe Penetrating Radar (PPR) have become widely adopted tools for the detection of cavities. However, a notable limitation of both GPR and PPR lies in their inability to clearly delineate the top and bottom of cavities. This letter introduces a collaborative detection technique that employs both GPR and PPR. Subsequently, a collaborative imaging method is proposed, derived separately from GPR and PPR data, utilizing a Reverse Time Migration (RTM) algorithm with a zero-lag cross-correlation imaging condition. Laboratory experimental results show that the artefacts caused by the RTM are significantly suppressed through the application of cross-correlation imaging. As such, the proposed technique allows clear imaging of both the top and bottom of cavities around a pipeline. It is concluded that the proposed technique can enhance the capability of GPR in detection and characterization of subsurface cavities.