Real Time Indoor Positioning System for Smart Grid based on UWB and Artificial Intelligence Techniques

Cheng, Long; Chang, Hao; Wang, Kexin; Wu, Zhaoqi

doi:10.1109/sustech47890.2020.9150486

Cited by 23 publications

(10 citation statements)

References 29 publications

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“…Major sources of range error include non-line-of-sight (NLOS), multipath propagation, multiple access interface, and the high temporal resolution of UWB signals. In addition, they have the drawback of having a high cost due to expensive tags, infrastructure and complex installation [ 21 ]. Magnetic field: the current position can be determined by comparing the intensity of the magnetic field detected during movement with a magnetic fingerprint previously measured inside the building.…”

Section: Methodsmentioning

confidence: 99%

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Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities

Luschi

Villa

Gherardelli

et al. 2022

THC

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BACKGROUND: Navigation portable applications have largely grown during the last years. However, the majority of them works just for outdoor positioning and routing, due to their architecture based upon Global Positioning System signals. Real-Time Positioning System intended to provide position estimation inside buildings is known as Indoor Positioning System (IPS). OBJECTIVE: This paper presents an IPS implemented as a mobile application that can guide patients and visitors throughout a healthcare premise. METHODS: The proposed system exploits the geolocation capabilities offered by existing navigation frameworks for determining and displaying the user’s position. A hybrid mobile application architecture has been adopted because it allows to deploy the code to multiple platforms, simplifying maintenance and upgrading. RESULTS: The developed application features two different working modes for on-site and off-site navigation, which offer both the possibility of actual navigation within the hospital, or planning a route from a list of available starting points to the desired target, without being within the navigable area. Tests have been conducted to evaluate the performance and the accuracy of the system. CONCLUSION: The proposed application aims to overcome the limitations of Global Navigation Satellite System by using magnetic fingerprinting in combination with sensor fusion simultaneously. This prevents to rely on a single technology, reducing possible system failures and increasing the scalability.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities

Luschi

Villa

Gherardelli

et al. 2022

THC

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“…In this paper, Qorvo's DWM1001 boards which satisfies IEEE 802.15.4 are used as a real-time positioning system. The DWM1001 integrates UWB and Bluetooth chips and has a motion sensor [7]. The main characteristic of DWM1001 is that the distance measurement error is less than 10cm and it uses a frequency band of 6.5GHz.…”

Section: Design and Implementationmentioning

confidence: 99%

UWB Indoor Localization in LOS and NLOS

kim

Joe

2022

Preprint

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As wireless communication technology develops, services using user’s location information are also increasing and becoming important. Among many technologies that can measure position, ultra wideband (UWB) is being used in many fields of robot and human positioning systems. A high-precision technology using UWB can find targets with an error of a few centimeters, from industrial robot operations to drones used in search and rescue operations. In this paper, indoor positioning is performed using UWB boards in line of sight (LOS) and non line of sight (NLOS) situations. With the long short-term memory (LSTM) Deep Learning Algorithm, we propose a method for compensating location errors and predicting a more accurate location. In the LOS situation, the location was measured based on fingerprinting using four anchors and tags. The measured distance values were classified into training and test dataset. By applying these distance values to the LSTM, it was confirmed that the position error was compensated. In the NLOS situation, the quality factor was measured for each obstacle by placing four types of obstacles (no obstacles, metal, mirror, multipath) between the anchor and the tag at a distance of 4 meters. By applying the measured values to the LSTM, it was confirmed that the position error was compensated by detecting an abnormal signal occurring in the UWB board. Finally, the experimental results show that the proposed method can provide more accurate position compensation and prediction in LOS and NLOS environments.

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“…in the smart city domain, intelligent transportation systems, or smart buildings [72]. From an industrial perspective and within the IIoT, other potential applications include inventory management [10], smart grids [73], [74], fleet management [75], safety in humanrobot operations [76], or asset tracking [77].…”

Section: Uwb In the Iiotmentioning

confidence: 99%

Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems

Queralta

et al. 2021

2021 10th Mediterranean Conference on Embedded Computing (MECO)

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Ultra-wideband (UWB) technology is a mature technology that contested other wireless technologies in the advent of the IoT but did not achieve the same levels of widespread adoption. In recent years, however, with its potential as a wireless ranging and localization solution, it has regained momentum. Within the robotics field, UWB positioning systems are being increasingly adopted for localizing autonomous ground or aerial robots. In the Industrial IoT (IIoT) domain, its potential for ad-hoc networking and simultaneous positioning is also being explored. This survey overviews the state-of-the-art in UWB networking and localization for robotic and autonomous systems. We also cover novel techniques focusing on more scalable systems, collaborative approaches to localization, ad-hoc networking, and solutions involving machine learning to improve accuracy. This is, to the best of our knowledge, the first survey to put together the robotics and IIoT perspectives and to emphasize novel ranging and positioning modalities. We complete the survey with a discussion on current trends and open research problems.

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Real Time Indoor Positioning System for Smart Grid based on UWB and Artificial Intelligence Techniques

Cited by 23 publications

References 29 publications

Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities

Designing and developing a mobile application for indoor real-time positioning and navigation in healthcare facilities

UWB Indoor Localization in LOS and NLOS

Applications of UWB Networks and Positioning to Autonomous Robots and Industrial Systems

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