Relative Localization in Wireless Sensor Networks for Measurement of Electric Fields under HVDC  Transmission Lines

Cui, Yong; Wang, Qiusheng; Yuan, Haiwen; Song, Xiao Yan; Hu, Xuemin; Zhao, Luxing

doi:10.3390/s150203540

Cited by 17 publications

(12 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The non-contact and long-distance measurement method of highvoltage DC electric field strength is shown in Figure 1. Electronics 2020, 9,329 3 of 21 In Figure 1, C 0 represents the air stray capacitance value, which can be ignored generally. C 1 and R represent signal processing circuits at the back-end of the sensor.…”

Section: Electric Field Measurement Methodsmentioning

confidence: 99%

“…The author proposed and designed a DC electric inspection system based on dual-axis sensing [6], combining with the dual-axis sensing mechanism to improve the vibration capacitance sensor and expand the measurement range of the system. The DDC-01 ground electric field detector and the high-voltage DC combined field strength detection system HDEM-1 and the EFM-115 electrostatic field monitor was developed in the literature [7][8][9]. They just realized the measurement of the electric field size, about which they do not have a safety warning function, and the measurement system is cumbersome and expensive.According to the research status of existing technologies, this paper proposes an adaptive security early warning technology solution based on non-contact electric field measurement.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Safety Early Warning Device for Non-contact Measurement of HVDC Electric Field

et al. 2020

View full text Add to dashboard Cite

In order to prevent electric shock accidents during the maintenance and repair of high-voltage direct current (DC) live equipment, an intelligent safety early warning system device based on non-contact electric field measurement is developed in this paper, to ensure the life safety of electrical workers and the stable operation of equipment. Firstly, the self-developed electric field sensor is used to measure the electric field strength of the space around the charged device. The STM32 microprocessor in the sensor will compare the measured electric field value with a preset safety threshold. If the safety threshold is exceeded, the early warning device issues an audible alarm. It prompts the electric power operator to exit to a safe distance. In addition, the alarm prompt symbol and the real-time waveform of the measured electric field can be seen intuitively on the mobile smart APP interface. Secondly, for devices with different voltage levels, the sensor electric field measurement range and sensitivity can be dynamically adjusted by changing the motor speed. In addition, according to the voltage level identification algorithm, this is also to achieve an adaptive safety early warning of different live equipment. Finally, field experiments were performed at a ±500 kV DC converter station and an ±800 kV DC transmission line experimental platform. The measured values of the electric field are basically consistent with the simulated values, and the safety early warning device has no false positives or false negatives during the test. The experimental results show that the design of the safety warning device in this paper meets the actual needs, and it can alert the electric workers to the specified safety distance.

show abstract

Section: Electric Field Measurement Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Adaptive Safety Early Warning Device for Non-contact Measurement of HVDC Electric Field

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Such an ordered matrix avoids to test all the possible permutations, as in [10]. In [12], the first node is known and authors also propose mechanisms to handle exceptions, which occur when the output sequence does not contain all the nodes.…”

Section: Related Workmentioning

confidence: 99%

Node ranking in wireless sensor networks with linear topology

et al. 2017

View full text Add to dashboard Cite

In wireless sensor networks with linear topology, knowing the physical order in which nodes are deployed is useful not only for the target application, but also to some network services, like routing or data aggregation. Considering the limited resources of sensor nodes, the design of autonomous protocols to find this order is a challenging topic. In this paper, we propose a distributed and iterative centroid-based algorithm to address this problem. At each iteration, the algorithm selects two virtual anchors and finds the order of a subset of nodes, placed between these two anchors. The proposed algorithm requires local node connectivity knowledge and the identifier of the first sensor node of the network, which is the only manually configured parameter. This solution, scalable and lightweight from the deployment and maintenance point of view, is shown to be robust to connectivity degradation, correctly ordering more than 95% of the nodes, even under very low connectivity conditions

show abstract

“…There are many basic parameters [15,16,17,18,19] used to determine the performance of wireless network system. Packet reception ratio (PRR) is the most intuitionistic communication quality indicators; received signal strength indicator (RSSI) can be used to determine the communication quality; link quality indicator (LQI) shows the energy and quality of the receiving data.…”

Section: Implementation Of the Distributed Measurement Systemmentioning

confidence: 99%

Development and Application of a Wireless Sensor for Space Charge Density Measurement in an Ultra-High-Voltage, Direct-Current Environment

Xin

Ju²,

Yuan

2016

Sensors

Self Cite

View full text Add to dashboard Cite

A space charge density wireless measurement system based on the idea of distributed measurement is proposed for collecting and monitoring the space charge density in an ultra-high-voltage direct-current (UHVDC) environment. The proposed system architecture is composed of a number of wireless nodes connected with space charge density sensors and a base station. The space charge density sensor based on atmospheric ion counter method is elaborated and developed, and the ARM microprocessor and Zigbee radio frequency module are applied. The wireless network communication quality and the relationship between energy consumption and transmission distance in the complicated electromagnetic environment is tested. Based on the experimental results, the proposed measurement system demonstrates that it can adapt to the complex electromagnetic environment under the UHVDC transmission lines and can accurately measure the space charge density.

show abstract

Relative Localization in Wireless Sensor Networks for Measurement of Electric Fields under HVDC Transmission Lines

Cited by 17 publications

References 19 publications

Adaptive Safety Early Warning Device for Non-contact Measurement of HVDC Electric Field

Adaptive Safety Early Warning Device for Non-contact Measurement of HVDC Electric Field

Node ranking in wireless sensor networks with linear topology

Development and Application of a Wireless Sensor for Space Charge Density Measurement in an Ultra-High-Voltage, Direct-Current Environment

Contact Info

Product

Resources

About