Autonomous Wireless Sensors Network for the Implementation of a Cyber-Physical System Monitoring Reinforced Concrete Civil Engineering Structures

Loubet, Gaël; Sidibe, Alassane; Takacs, Alexandru; Dragomirescu, Daniela

doi:10.1016/j.ifacol.2022.08.004

Cited by 9 publications

(9 citation statements)

References 12 publications

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“…WSNs met the requirements of synchronous wireless information and power transmission paradigms by using a single antenna in the sensor node (used for both power collection and data transmission). The proposed system was designed for Structural health monitoring of reinforced concrete civil engineering structures, which could adapt to other applications, especially in harsh environments [12]. X. Jin pointed out that the node position information in WSN played a crucial role in its practical application, but its signal strength information was susceptible to interference from external environments.…”

Section: Related Workmentioning

confidence: 99%

Application Research of DV-HOP Wireless Sensor Localization System Based on Geometric Constraint Optimization

Wu,

Dong

et al. 2024

IEEE Access

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The use of wireless sensors has expanded across various industries, highlighting the need for accurate positioning research. In irregular network environments, conventional distance vector jump algorithms result in poor localization performance. To solve this problem, an improved distance vector jump algorithm is proposed in this study. The algorithm introduces geometric constraint mechanism and optimized weighted DV-HOP localization algorithm. The proposed method applies an optimal weight function to determine the hop count from unknown nodes to anchor nodes and calculates the unknown node coordinates using the least squares method. Additionally, geometric constraint mechanisms are used to eliminate positioning errors caused by outliers. The experimental results demonstrate that the positioning error is 0.37% in C-type network environment, 0.38% in F-type network environment, 0.29% in L-type network environment and 0.30% in H-type network environment. These results verify the effectiveness of the proposed algorithm in reducing positioning errors, which can meet the accuracy requirements of practical applications in complex network environments.

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Section: Related Workmentioning

confidence: 99%

Application Research of DV-HOP Wireless Sensor Localization System Based on Geometric Constraint Optimization

Wu,

Dong

et al. 2024

IEEE Access

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“…The global architecture of the proposed Cyber-Physical System is presented in Fig. 1 [16][17][18]. Even though it was imagined for a communicating reinforced concrete, this Cyber-Physical System can be easily scalable to other communicating materials, as well as other Structural Health Monitoring applications, especially in harsh environments.…”

Section: A Cyber-physical Systemmentioning

confidence: 99%

“…The Communicating Nodes must achieve several functions: (1) collect the data sent by the Sensing Nodes located in their neighborhood; (2) aggregate, process, store and share -locally and/or remotely-the data provided by the Sensing Nodes, by the other Communicating Nodes, by the other Wireless Sensor Networks and/or Devices, and/or by the digital twin(s); and (3) wirelessly power and control the Sensing Nodes located in their neighborhood, thanks to a Wireless Power Transfer system [16].…”

Section: B Communicating Nodesmentioning

confidence: 99%

“…In the presented implementation, the Communicating Nodes are composed of a LoRaWAN gateway (based on a Raspberry Pi 3 model B+ from the Raspberry Pi Foundation (Caldecote, Cambridgeshire, United-Kingdom) and an iC880A LoRaWAN concentrator for IMST (Kamp-Lintfort, Germany), and using the Raspberry Pi OS Lite operating system from the Raspberry Pi Foundation (Caldecote, Cambridgeshire, United-Kingdom), the user datagram protocol packet-forwarder from Semtech (Camarillo, California, United States of America) and some Chirpstack tools (Orne Brocaar)) with Wi-Fi, Ethernet and cellular interfaces (a Bluetooth interface is available but not used) associated with a homemade power source (designed with components from Mini-Circuits (Brooklyn, New-York, United States of America)) providing a Continuous Wave (CW) signal with an Equivalent Isotropic Radiated Power of +33 dBm (or +3 dB, or 2 W) in the 868 MHz Industrial, Scientific and Medical frequency band [6]. More details on its implementation are available in [16].…”

Section: B Communicating Nodesmentioning

confidence: 99%

“…It is based on an energy autonomous Wireless Sensor Network embedded in the material and able to update during all its life a Building Information Modelling available through the Internet. Due to a need for genericity (to be independent of the targeted environment and application) and due to the inaccessibility of the system once deployed in the material, a battery-free Wireless Sensor Network wirelessly powered by radiated electromagnetic waves has been chosen [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Autonomous Industrial IoT for Civil Engineering Structural Health Monitoring

Loubet,

Sidibe,

Herail

et al. 2024

IEEE Internet Things J.

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This paper presents a wireless Sensing Node part of a Wireless Sensor Network dedicated to the deployment of a Cyber-Physical System intended for the Structural Health Monitoring of reinforced concretes. This low-power Sensing Node requires less than 21 mJ for a full processing: measurement, data formatting and transmission of a 17 bytes LoRaWAN frame; id est 39 µJ per transmitted bit. It is designed to be buried in reinforced concrete and is battery-free and energy autonomous for long-term deployment by a radiative electromagnetic Wireless Power Transfer approach. The Sensing Node is cold-start compatible down to a power of -17 dBm available at the output of the antenna. It is able to wirelessly transmit data over at least tens of meters thanks to the LoRaWAN wireless communication technology. Moreover, it is wirelessly, remotely and omnidirectionally powered and controlled by a Communicating Node over meters, with the respect of regional regulatory constraints (Equivalent Isotropic Radiated Power of +33 dBm allowed in the 868 MHz Industrial, Scientific and Medical frequency band). By being a generic platform, this Sensing Node can employ various sensors to measure relevant parameters for the targeted application, id est: temperature, relative humidity, mechanical deformation through the strain, and electrical resistivity whose the variation allows to estimate the corrosion rate. By simultaneously using the same 868 MHz Industrial, Scientific and Medical frequency band for the wireless communication and the Wireless Power Transfer, the Sensing Node meets the Simultaneous Wireless Information and Power Transfer paradigm with a unique antenna and without interferences. Thus, the tested system allows the deployment of the subnetwork of two Communicating Nodes and several Sensing Nodes (currently four) to cover a surface/volume of several meters, currently up to 11 meters around each Communicating Node indoors. Finally, this system can be easily deployed for other applications requiring energy autonomous Wireless Sensor Networks, especially in harsh environments,

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Study on Ultimate Bearing Capacity of CFRP-Reinforced Concrete Under Reciprocating Load

Wang,

Yao

2024

Novel Technology and Whole-Process Management in Prefabricated Building

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Objective: To study the ultimate bearing capacity of CFRP- reinforced concrete under reciprocating load. Methods: Firstly, a number of CFRP- reinforced concrete specimens were made on the test platform, and the overall compression was adopted to meet the test requirements. Secondly, the load-displacement curve of the specimen is drawn to determine the displacement change of the compression limit state. Finally, the load-deformation situation is analyzed, and the compressive ultimate bearing capacity of the specimen at each position is analyzed to determine the compressive ultimate bearing capacity of the specimen. Results: The compression state of CFRP-reinforced concrete can not be changed by winding CFRP and changing the strength of steel tube. The smaller the overall deformation, the higher the ultimate bearing capacity of CFRP-reinforced concrete. Conclusion: The ultimate compressive bearing capacity of CFRP-reinforced concrete is related to the slenderness ratio, the number of CFRP layers and the circumferential fiber yarn, which plays an important role in improving the strength of CFRP-reinforced concrete.

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Autonomous Wireless Sensors Network for the Implementation of a Cyber-Physical System Monitoring Reinforced Concrete Civil Engineering Structures

Cited by 9 publications

References 12 publications

Application Research of DV-HOP Wireless Sensor Localization System Based on Geometric Constraint Optimization

Application Research of DV-HOP Wireless Sensor Localization System Based on Geometric Constraint Optimization

Autonomous Industrial IoT for Civil Engineering Structural Health Monitoring

Study on Ultimate Bearing Capacity of CFRP-Reinforced Concrete Under Reciprocating Load

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