Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining

Based on the wireless sensor network unmanned driving infringement identification system, this paper focuses on the application of data mining technology and state machine technology and designs and implements a set of practical and effective. Self-driving cars can reduce the frequency of traffic ac...

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Autor principal:	Menglu Yang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/9084bc7b102a4a36a2cf6500c41a25dc
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id	oai:doaj.org-article:9084bc7b102a4a36a2cf6500c41a25dc
record_format	dspace
spelling	oai:doaj.org-article:9084bc7b102a4a36a2cf6500c41a25dc2021-11-15T01:19:53ZUnmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining1687-726810.1155/2021/1599330https://doaj.org/article/9084bc7b102a4a36a2cf6500c41a25dc2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1599330https://doaj.org/toc/1687-7268Based on the wireless sensor network unmanned driving infringement identification system, this paper focuses on the application of data mining technology and state machine technology and designs and implements a set of practical and effective. Self-driving cars can reduce the frequency of traffic accidents, alleviate urban traffic congestion, improve people’s travel efficiency, and lower the threshold of driving and other social values. The data processing program and a number of algorithms are given, and a complete set of data processing procedures and algorithms are proposed, including the collection of raw sensor data, the preprocessing of the collected data, and the feature extraction of the processed data. In the experiment, the unmanned driving infringement monitoring network was first designed to conduct real-time monitoring of unmanned driving infringements during transportation and application. Aiming at the characteristics of unmanned driving infringements, a monitoring network platform was designed for remote control and large-scale monitoring. Secondly, according to the characteristics of the unmanned driving infringement monitoring sensor network, the unmanned driving infringement node monitoring terminal is designed. The monitoring terminal part mainly designs the sensor module, the wireless communication module, the display warning module power module, and the data mining processing module. The sensor modules, respectively, include temperature, humidity, and concentration sensors, and the communication mode in the communication module mainly adopts Wi-Fi. At the same time, the research is based on wireless sensor network, combined with data mining technology, puts forward a sensory data display system model based on data mining technology, and conducts an in-depth analysis of the sensory data display system model, including the logical level of the system, system architecture, and functional modules. Finally, it focuses on the specific application of data mining technology in environmental information analysis and prediction, uses JAVA programming and realizes a data analysis and display system based on wireless sensor network, and verifies the accuracy of the data mining algorithm. The experimental results analyze the application of data mining technology in the driverless infringement determination system and use a large number of unmanned driving infringements to analyze the determination rules, so as to realize the interaction between active people and driverless cars.Menglu YangHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995
spellingShingle	Technology (General) T1-995 Menglu Yang Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining
description	Based on the wireless sensor network unmanned driving infringement identification system, this paper focuses on the application of data mining technology and state machine technology and designs and implements a set of practical and effective. Self-driving cars can reduce the frequency of traffic accidents, alleviate urban traffic congestion, improve people’s travel efficiency, and lower the threshold of driving and other social values. The data processing program and a number of algorithms are given, and a complete set of data processing procedures and algorithms are proposed, including the collection of raw sensor data, the preprocessing of the collected data, and the feature extraction of the processed data. In the experiment, the unmanned driving infringement monitoring network was first designed to conduct real-time monitoring of unmanned driving infringements during transportation and application. Aiming at the characteristics of unmanned driving infringements, a monitoring network platform was designed for remote control and large-scale monitoring. Secondly, according to the characteristics of the unmanned driving infringement monitoring sensor network, the unmanned driving infringement node monitoring terminal is designed. The monitoring terminal part mainly designs the sensor module, the wireless communication module, the display warning module power module, and the data mining processing module. The sensor modules, respectively, include temperature, humidity, and concentration sensors, and the communication mode in the communication module mainly adopts Wi-Fi. At the same time, the research is based on wireless sensor network, combined with data mining technology, puts forward a sensory data display system model based on data mining technology, and conducts an in-depth analysis of the sensory data display system model, including the logical level of the system, system architecture, and functional modules. Finally, it focuses on the specific application of data mining technology in environmental information analysis and prediction, uses JAVA programming and realizes a data analysis and display system based on wireless sensor network, and verifies the accuracy of the data mining algorithm. The experimental results analyze the application of data mining technology in the driverless infringement determination system and use a large number of unmanned driving infringements to analyze the determination rules, so as to realize the interaction between active people and driverless cars.
format	article
author	Menglu Yang
author_facet	Menglu Yang
author_sort	Menglu Yang
title	Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining
title_short	Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining
title_full	Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining
title_fullStr	Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining
title_full_unstemmed	Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining
title_sort	unmanned driving infringement judgment based on wireless sensor network data mining
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/9084bc7b102a4a36a2cf6500c41a25dc
work_keys_str_mv	AT mengluyang unmanneddrivinginfringementjudgmentbasedonwirelesssensornetworkdatamining
_version_	1718428936814198784

Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining

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