用于距离测量的超声传感器数据融合

Piretc Pub Date : 2023-11-06 DOI:10.36962/piretc29082023-43
Mahabbat Khudaverdieva Mahabbat Khudaverdieva
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引用次数: 0

摘要

距离测量在当代技术中起着至关重要的作用,对从自主导航、工业自动化到机器人等众多领域的应用产生了重大影响。超声波传感器以其简单、经济、适应性强而著称,已成为测量距离的重要仪器。然而,单个超声波传感器也不能免于约束,这些约束包括由环境条件、传感器噪声和测量误差引起的不准确性。本文深入研究了数据融合的高级实践,这种方法需要合并来自多个超声波传感器的数据,并辅以人工智能(AI)和统计技术等复杂算法。超声传感器数据的融合优于单纯的合并;它利用人工智能的潜力来完善数据集成。因此,这不仅提高了测量精度,而且使系统在动态和苛刻的环境中可靠地运行。本文探讨了超声波传感器的重要性、数据融合的必要性、数据预处理的步骤、相关特征的提取、融合算法的应用以及不确定性的处理。它研究了超声波传感器数据融合在自动驾驶汽车、机器人、工业自动化、医疗保健和环境监测等不同领域的应用。此外,它还面临着与数据质量、环境变化、隐私问题和道德考虑相关的问题。文章总结了该领域令人鼓舞的发展方向,包括先进算法的开发、不同传感器类型的无缝集成、实时数据处理以及对安全关键应用的强调。来自超声波传感器的数据融合标志着一种不断发展和变革的技术,对各个行业产生了深远的影响。负责任地推进和部署这项技术对于确保充分发挥其潜力至关重要,同时在不断发展的技术环境中保持安全、道德和可靠性原则。关键词:复杂测量,多传感器距离测量,超声波传感器,数据融合,测量精度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DATA FUSION OF ULTRASONIC SENSORS FOR DISTANCE MEASUREMENT
Distance measurement plays a fundamental role in contemporary technology, exerting a significant influence on applications across a myriad of sectors, ranging from autonomous navigation and industrial automation to robotics. Ultrasonic sensors, celebrated for their simplicity, cost-efficiency, and adaptability, have grown into essential instruments for gauging distances. Nevertheless, individual ultrasonic sensors are not exempt from constraints, which encompass inaccuracies stemming from environmental conditions, sensor noise, and measurement errors. This article delves into the advanced practice of data fusion, a method that entails amalgamating data from multiple ultrasonic sensors, bolstered by intricate algorithms like artificial intelligence (AI) and statistical techniques. The fusion of ultrasonic sensor data surpasses mere amalgamation; it harnesses the potency of AI to refine data integration. Consequently, this doesn't only enhance measurement precision but also equips systems to function dependably in dynamic and demanding environments. The article explores the importance of ultrasonic sensors, the necessity for data fusion, procedures for data preprocessing, the extraction of relevant features, the application of fusion algorithms, and the handling of uncertainties. It investigates the utilization of ultrasonic sensor data fusion in diverse domains such as autonomous vehicles, robotics, industrial automation, healthcare, and environmental monitoring. Moreover, it confronts issues associated with data quality, environmental variations, privacy concerns, and ethical deliberations. The article concludes by shedding light on the encouraging avenues that lie ahead in the field, which include the development of advanced algorithms, the seamless integration of different sensor types, real-time data processing, and a strong emphasis on safety-critical applications. Data fusion from ultrasonic sensors signifies an evolving and transformative technology with profound consequences for various sectors. The responsible advancement and deployment of this technology are of paramount importance to ensure the realization of its full potential, while maintaining the principles of safety, ethics, and reliability in a continuously evolving technological landscape. Keywords: Complex measurement, Multi-sensor distance measurement, Ultrasonic sensors, Data fusion, Measurement accuracy.
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