Multi-sensor data fusion algorithm based on the improved weighting factor
Aiming at the decrease of the accuracy of fusion data caused by the abnormal value and noise interference in the multi-sensor observations, this paper proposes a multi-sensor data fusion algorithm based on improved weighting factors. Firstly, the Dixon criterion is used to eliminate outliers in obse...
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| Vydáno v: | Journal of physics. Conference series Ročník 1754; číslo 1; s. 12227 - 12232 |
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| Jazyk: | angličtina |
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Bristol
IOP Publishing
01.02.2021
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| ISSN: | 1742-6588, 1742-6596 |
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| Abstract | Aiming at the decrease of the accuracy of fusion data caused by the abnormal value and noise interference in the multi-sensor observations, this paper proposes a multi-sensor data fusion algorithm based on improved weighting factors. Firstly, the Dixon criterion is used to eliminate outliers in observations to avoid data containing gross errors. Then the Kalman filter algorithm is used to effectively reduce the noise impact caused by various reasons and provides the optimal data for weighted data fusion. Finally, an improved weighted fusion algorithm is used to comprehensively consider the nature of the sensor and the influence of various factors in the measurement process to obtain the best fusion data. The simulation analysis of the soil humidity in the greenhouse shows that the error of the multi-sensor data fusion algorithm based on the improved weighting factor is maintained at 0.04%-0.18%. Compared with the adaptive weighted fusion algorithm, the error of this algorithm is reduced by 0.12%, which verifies the algorithm's effectiveness. |
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| AbstractList | Aiming at the decrease of the accuracy of fusion data caused by the abnormal value and noise interference in the multi-sensor observations, this paper proposes a multi-sensor data fusion algorithm based on improved weighting factors. Firstly, the Dixon criterion is used to eliminate outliers in observations to avoid data containing gross errors. Then the Kalman filter algorithm is used to effectively reduce the noise impact caused by various reasons and provides the optimal data for weighted data fusion. Finally, an improved weighted fusion algorithm is used to comprehensively consider the nature of the sensor and the influence of various factors in the measurement process to obtain the best fusion data. The simulation analysis of the soil humidity in the greenhouse shows that the error of the multi-sensor data fusion algorithm based on the improved weighting factor is maintained at 0.04%-0.18%. Compared with the adaptive weighted fusion algorithm, the error of this algorithm is reduced by 0.12%, which verifies the algorithm’s effectiveness. |
| Author | Xu, Chuannuo Cheng, Xuezhen Yu, Yongjin Liu, Xiaoqing |
| Author_xml | – sequence: 1 givenname: Yongjin surname: Yu fullname: Yu, Yongjin organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology , China – sequence: 2 givenname: Xiaoqing surname: Liu fullname: Liu, Xiaoqing organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology , China – sequence: 3 givenname: Chuannuo surname: Xu fullname: Xu, Chuannuo organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology , China – sequence: 4 givenname: Xuezhen surname: Cheng fullname: Cheng, Xuezhen email: chengxuezhen@sdust.edu.cn organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology , China |
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| DOI | 10.1088/1742-6596/1754/1/012227 |
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| References | Duan (JPCS_1754_1_012227bib5) 2017; 33 Luo (JPCS_1754_1_012227bib1) 2015; 13 Tian (JPCS_1754_1_012227bib7) 2019; 49 Sun (JPCS_1754_1_012227bib12) 2018; 49 Zhou (JPCS_1754_1_012227bib13) 2018; 27 Yang (JPCS_1754_1_012227bib8) 2020; 39 Li (JPCS_1754_1_012227bib6) 2019; 30 Duan (JPCS_1754_1_012227bib14) 2018; 39 Wang (JPCS_1754_1_012227bib10) 2017; 30 Liu (JPCS_1754_1_012227bib15) 2016; 24 Yang (JPCS_1754_1_012227bib3) 2011; 11 Zhang (JPCS_1754_1_012227bib2) 2014; 27 Chen (JPCS_1754_1_012227bib11) 2020; 32 Ding (JPCS_1754_1_012227bib4) 2016; 30 Yang (JPCS_1754_1_012227bib16) 2017; 54 Jing (JPCS_1754_1_012227bib9) 2020; 43 |
| References_xml | – volume: 13 start-page: 539 year: 2015 ident: JPCS_1754_1_012227bib1 article-title: A novel data fusion scheme using grey model and extreme learning machine in wireless sensor networks publication-title: International Journal of Control – volume: 30 start-page: 1525 year: 2017 ident: JPCS_1754_1_012227bib10 article-title: A data fusion algorithm on data preprocessing and Kalman filter for greenhouse environment monitor publication-title: Chinese Journal of Sensors and Actuators – volume: 49 start-page: 268 year: 2018 ident: JPCS_1754_1_012227bib12 article-title: Approach to decision fusion for intelligent greenhouse environmental control based on D-S evidence theory publication-title: Journal of Agricultural Machinery – volume: 49 start-page: 32 year: 2019 ident: JPCS_1754_1_012227bib7 article-title: A method of multi-sensor data fusion under the complicated environment publication-title: Journal of Shandong University (Engineering Science) – volume: 27 start-page: 184 year: 2018 ident: JPCS_1754_1_012227bib13 article-title: Meteorological data fusion based on proposed Kalman filter method publication-title: Computer Systems & Applications – volume: 24 start-page: 970 year: 2016 ident: JPCS_1754_1_012227bib15 article-title: Sediment concentration measurement based on Kalman-BP collaborative fusion model publication-title: Journal of Basic Science and Engineering – volume: 30 start-page: 114 year: 2016 ident: JPCS_1754_1_012227bib4 article-title: Multi-Sensor adaptive weighted fusion algorithm based on correlation function publication-title: Journal of Chongqing University of Technology (Natural Science) – volume: 39 start-page: 60 year: 2018 ident: JPCS_1754_1_012227bib14 article-title: Research on data fusion processing technology of agricultural greenhouse based on Kalman filtering algorithm publication-title: Journal of Chinese Agricultural Mechanization – volume: 32 start-page: 197 year: 2020 ident: JPCS_1754_1_012227bib11 article-title: Application research on data fusion and fuzzy control method in greenhouse publication-title: Journal of Zhejiang University of Science and Technology – volume: 33 start-page: 239 year: 2017 ident: JPCS_1754_1_012227bib5 article-title: Data fusion method of livestock and poultry breeding internet of things based on improved support function publication-title: Transactions of the Chinese Society of Agricultural Engineering – volume: 11 start-page: 97 year: 2011 ident: JPCS_1754_1_012227bib3 article-title: Improved dynamic weighted multi-sensors data fusion algorithm publication-title: Computer Engineering – volume: 27 start-page: 643 year: 2014 ident: JPCS_1754_1_012227bib2 article-title: An optimal method of data fusion for multi-sensors based on Bayesian estimation publication-title: Chinese Journal of Sensorsand Actuators – volume: 30 start-page: 34 year: 2019 ident: JPCS_1754_1_012227bib6 article-title: Application research of multi-sensor data fusion technology in greenhouse control system publication-title: Science & Technology Vision – volume: 54 start-page: 947 year: 2017 ident: JPCS_1754_1_012227bib16 article-title: Dynamic weighting fusion based on Kalman filter publication-title: Journal of Sichuan University (Natural Science Edition) – volume: 39 start-page: 39 year: 2020 ident: JPCS_1754_1_012227bib8 article-title: Method of data weighted fusion for multi-sensors publication-title: Transducer and Microsystem Technologies – volume: 43 start-page: 10 year: 2020 ident: JPCS_1754_1_012227bib9 article-title: Research on data fusion algorithm based on multi-sensor publication-title: Modern Electronics Technique |
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| SubjectTerms | Adaptive algorithms Algorithms Data integration Kalman filters Multisensor fusion Noise reduction Outliers (statistics) Physics Sensors Soil analysis Weighting |
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| Title | Multi-sensor data fusion algorithm based on the improved weighting factor |
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