Sports Event Level Measurement Indicator System Using Multisensor Information Fusion

In view of the imperfection of the measurement index of the level of sports events, the coverage rate of the measurement index is low and the stability is poor. Therefore, this paper puts forward a sports event level measurement index system based on multisensor information fusion. First, the simula...

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Autores principales:	Weiwei Yu, Jinming Xing
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/f275b57e0ab94235af446e9cb68c3284
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spelling	oai:doaj.org-article:f275b57e0ab94235af446e9cb68c32842021-11-15T01:18:59ZSports Event Level Measurement Indicator System Using Multisensor Information Fusion1687-726810.1155/2021/9330438https://doaj.org/article/f275b57e0ab94235af446e9cb68c32842021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9330438https://doaj.org/toc/1687-7268In view of the imperfection of the measurement index of the level of sports events, the coverage rate of the measurement index is low and the stability is poor. Therefore, this paper puts forward a sports event level measurement index system based on multisensor information fusion. First, the simulated annealing algorithm is used to cluster the grouped sensors and fuse the optimal Bayesian estimation of compatible sensors. Second, the relative entropy measure method is used to expand the compatibility measure of the sensor information in the group, and the optimal Bayesian estimation value of the consistent measure test is obtained. The outliers are eliminated, the optimal fusion value is obtained by the overall weighted statistical fusion, and the alternative measure index system is constructed. Finally, analytic hierarchy process (AHP) is used to calculate the weight of each alternative index, so as to achieve the final measurement index. The results show that the standard deviation of clustering average energy consumption is low, and the energy loss is small. The system can effectively construct the measurement index, and the index coverage rate is as high as 95%.Weiwei YuJinming XingHindawi 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 Weiwei Yu Jinming Xing Sports Event Level Measurement Indicator System Using Multisensor Information Fusion
description	In view of the imperfection of the measurement index of the level of sports events, the coverage rate of the measurement index is low and the stability is poor. Therefore, this paper puts forward a sports event level measurement index system based on multisensor information fusion. First, the simulated annealing algorithm is used to cluster the grouped sensors and fuse the optimal Bayesian estimation of compatible sensors. Second, the relative entropy measure method is used to expand the compatibility measure of the sensor information in the group, and the optimal Bayesian estimation value of the consistent measure test is obtained. The outliers are eliminated, the optimal fusion value is obtained by the overall weighted statistical fusion, and the alternative measure index system is constructed. Finally, analytic hierarchy process (AHP) is used to calculate the weight of each alternative index, so as to achieve the final measurement index. The results show that the standard deviation of clustering average energy consumption is low, and the energy loss is small. The system can effectively construct the measurement index, and the index coverage rate is as high as 95%.
format	article
author	Weiwei Yu Jinming Xing
author_facet	Weiwei Yu Jinming Xing
author_sort	Weiwei Yu
title	Sports Event Level Measurement Indicator System Using Multisensor Information Fusion
title_short	Sports Event Level Measurement Indicator System Using Multisensor Information Fusion
title_full	Sports Event Level Measurement Indicator System Using Multisensor Information Fusion
title_fullStr	Sports Event Level Measurement Indicator System Using Multisensor Information Fusion
title_full_unstemmed	Sports Event Level Measurement Indicator System Using Multisensor Information Fusion
title_sort	sports event level measurement indicator system using multisensor information fusion
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/f275b57e0ab94235af446e9cb68c3284
work_keys_str_mv	AT weiweiyu sportseventlevelmeasurementindicatorsystemusingmultisensorinformationfusion AT jinmingxing sportseventlevelmeasurementindicatorsystemusingmultisensorinformationfusion
_version_	1718429019576205312

Sports Event Level Measurement Indicator System Using Multisensor Information Fusion

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