Study on embedded system in monitoring of intelligent city pipeline network

Ye, Lunqiang

doi:10.1016/j.comcom.2020.02.004

Cited by 14 publications

(7 citation statements)

References 3 publications

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“…Wang Y, Liu M, Zheng P, Yang H and Zou J [34] deployed R-CNN on edge devices and incorporate cloud computing for real-time monitoring of part surface defects. Ye L [35] used embedded devices to preliminary process the collected data, and then further analyzes the data through cloud computing to monitor the health of city pipes. Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodik [36] proposed VideoEdge architecture, it identify the best tradeoff between resources and accuracy on cloud-edge collaboration framework for processing video stream.…”

Section: Cloud-edge Cooperationmentioning

confidence: 99%

A Surveillance Video Real-Time Analysis System Based on Edge-Cloud and FL-YOLO Cooperation in Coal Mine

Zhang

2021

IEEE Access

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Video monitoring is an important means to ensure production safety in coal mine. However, the currently intelligent video surveillance is difficult to respond in real-time due to the latency of cloud computing. In this paper, a cloud-edge cooperation framework is proposed, which integrates cloud computing and edge computing in a coordinated manner. The cloud computing is used to process non-realtime and global tasks, while the edge computing is responsible for handling local monitoring video in realtime. In order to realize cloud-edge data interaction and online optimization for edge models, the heterogeneous converged network is built. In addition, an object detection model FL-YOLO composed of depthwise separable convolution and down-sampling inverted residual block is proposed, which realizes real-time video analysis at the edge. Finally, this paper discusses the complexity of FL-YOLO by its computational cost and model size. The experiment results show that the model size of FL-YOLO is 16.1MB, which is very light, and it achieves 36.7 FPS on NVIDIA Jetson TX1 and an AP of 76.7% on Multi-scene pedestrian dataset. Comparing with mainstream object detection models, FL-YOLO completes faster detection speed and higher accuracy, and it has lower calculation complexity and smaller model scale. Furthermore, the AP on Single-scene pedestrian dataset of FL-YOLO is improved to 80.7% by cloud-edge cooperation. K-Fold method is also used to further compared the performance of FL-YOLO and other models. Moreover, system test is implemented on coal mine, which validates the actual engineering effect of the proposed cloud-edge cooperation framework.INDEX TERMS Edge computing, YOLO, cloud-edge cooperation, real-time analysis.

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Section: Cloud-edge Cooperationmentioning

confidence: 99%

A Surveillance Video Real-Time Analysis System Based on Edge-Cloud and FL-YOLO Cooperation in Coal Mine

Zhang

2021

IEEE Access

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“…IES has been widely employed in sensor-embedded smart devices [7]. The embedded intelligence is programmable, highly effective, and essential functionalities can be achieved effectively [8].…”

Section: Based On Requirement Of Functionalities and Performancementioning

confidence: 99%

Privacy Preservation, Trust, and Security in Intelligent Embedded Systems

Yadav

Alharbi

2021

Preprint

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An embedded system is a software and hardware system that is based on a microcontroller or microprocessor designed to accomplish the dedicated functions within a massive electrical or mechanical system. An intelligent embedded system (IES) is a generation or promising evolution of an embedded system (ES). IES has the ability of reasoning about their external atmosphere and acclimates their nature accordingly. The capacity of IES is characterized by the ability of process, service, or product to expose the performance of the environment to enrich the lifetime, quality, and satisfaction of the individual. IES facilitates the processing of information gathered from the embedded sensors. IES rely on numerous multidisciplinary methods for the successive operation.IES is widely employed in consumer electronics, industrial machines, agriculture, medical equipment, and other automated applications. It is programmable and necessary functionalities can be achieved effectively. In this article diversified utilities of embedded intelligence, challenges, issues, privacy, and security metrics of IES are discussed.

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“…Nevertheless, the 3D trajectory of the inspected pipeline is not accessible by using the non-inertial-based PIG surveying technology. The 3D trajectory of the inspected pipeline is of vital importance both for the PIM and for the digital and intelligent pipeline management especially when these pipelines are routed under the urban areas and geologically unstable areas [59,60]. In addition, the PIG transmitter and the PIG tracking and locating receiver, which are shown in Figure 4, are also integrated to track and locate the PIG between the two adjacent PIG tracking and locating receiver mounted along the pipeline [55,56].…”

Section: Non-inertial Based Pig Surveying Technologymentioning

confidence: 99%

“…Nevertheless, the 3D trajectory of the inspected pipeline is not accessible by using the non-inertial-based PIG surveying technology. The 3D trajectory of the inspected pipeline is of vital importance both for the PIM and for the digital and intelligent pipeline management especially when these pipelines are routed under the urban areas and geologically unstable areas [59,60]. Nevertheless, the 3D trajectory of the inspected pipeline is not accessible by using the non-inertialbased PIG surveying technology.…”

Section: Non-inertial Based Pig Surveying Technologymentioning

confidence: 99%

A Comprehensive Review of Micro-Inertial Measurement Unit Based Intelligent PIG Multi-Sensor Fusion Technologies for Small-Diameter Pipeline Surveying

et al. 2020

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It is of great importance for pipeline systems to be is efficient, cost-effective and safe during the transportation of the liquids and gases. However, underground pipelines often experience leaks due to corrosion, human destruction or theft, long-term Earth movement, natural disasters and so on. Leakage or explosion of the operating pipeline usually cause great economical loss, environmental pollution or even a threat to citizens, especially when these accidents occur in human-concentrated urban areas. Therefore, the surveying of the routed pipeline is of vital importance for the Pipeline Integrated Management (PIM). In this paper, a comprehensive review of the Micro-Inertial Measurement Unit (MIMU)-based intelligent Pipeline Inspection Gauge (PIG) multi-sensor fusion technologies for the transport of liquids and gases purposed for small-diameter pipeline (D<30cm) surveying is demonstrated. Firstly, four types of typical small-diameter intelligent PIGs and their corresponding pipeline-defects inspection technologies and defects-positioning technologies are investigated according to the various pipeline defects inspection and localization principles. Secondly, the multi-sensor fused pipeline surveying technologies are classified into two main categories, the non-inertial-based and the MIMU-based intelligent PIG surveying technology. Moreover, five schematic diagrams of the MIMU fused intelligent PIG fusion technology is also surveyed and analyzed with details. Thirdly, the potential research directions and challenges of the popular intelligent PIG surveying techniques by multi-sensor fusion system are further presented with details. Finally, the review is comprehensively concluded and demonstrated.

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Study on embedded system in monitoring of intelligent city pipeline network

Cited by 14 publications

References 3 publications

A Surveillance Video Real-Time Analysis System Based on Edge-Cloud and FL-YOLO Cooperation in Coal Mine

A Surveillance Video Real-Time Analysis System Based on Edge-Cloud and FL-YOLO Cooperation in Coal Mine

Privacy Preservation, Trust, and Security in Intelligent Embedded Systems

A Comprehensive Review of Micro-Inertial Measurement Unit Based Intelligent PIG Multi-Sensor Fusion Technologies for Small-Diameter Pipeline Surveying

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