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GB/T 37686-2019: Internet of things - Sensing object information fusion model Delivery: 9 seconds. True-PDF full-copy in English & invoice will be downloaded + auto-delivered via email. See step-by-step procedure Status: Valid
Similar standardsGB/T 37686-2019: Internet of things - Sensing object information fusion model---This is an excerpt. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.), auto-downloaded/delivered in 9 seconds, can be purchased online: https://www.ChineseStandard.net/PDF.aspx/GBT37686-2019Internet of things - Sensing object information fusion model ICS 35.110 L79 National Standards of People's Republic of China Internet of Things Perception Object Information Fusion Model Published on.2019-08-30 2020-03-01 implementation State market supervision and administration China National Standardization Administration issued Content Foreword I 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Concept Model 2 5 Fusion Level 3 5.1 level 0 fusion - signal detection 3 5.2 Level 1 Fusion - Object Estimation 3 5.3 Level 2 Fusion - Situation Estimation 6 5.4 Level 3 Convergence - Impact Estimation 7 5.5 Level 4 Fusion - Process Refining 8 5.6 Level 5 Fusion - Cognitive Refining 9 6 Information Fusion in the IoT Reference Architecture 10 6.1 Overview 10 6.2 Description of the relationship between domains and information fusion 11 6.3 Information Transmission Description 11 Appendix A (informative appendix) Disease diagnosis system based on IoT information fusion 13 ForewordThis standard was drafted in accordance with the rules given in GB/T 1.1-2009. Please note that some of the contents of this document may involve patents. The issuing organization of this document is not responsible for identifying these patents. This standard is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28). This standard was drafted. Wuxi Internet of Things Industry Research Institute, China Electronics Technology Standardization Research Institute, Shanghai Integrated Communication Equipment Co., Ltd. Division, Xi'an Aerospace Automation Co., Ltd., Shenzhen Standard Technology Research Institute, Jiangnan University Affiliated Hospital, Guangdong Fengtang IOT Technology (Shenzhen) Co., Ltd., Shenzhen Huichuan Technology Co., Ltd., Perception Group Co., Ltd., Zhejiang Qingyutang Technology Co., Ltd., Northwestern Engineering University, Zhongtong Service Consulting Design and Research Institute Co., Ltd. The main drafters of this standard. Qian Weilin, Wang Wenfeng, Fu Genli, Zhang Hui, Li Jianhui, Yang Huijia, Zhang Xujie, Xu Dongmei, Wu Mingjuan, Liu Li, Xie Zhenhua, Xing Tao, Chen Shuyi, Zhang Jianqi, Sun Wanyuan, Shen Jie, Wang Liang, Xu Xiaofeng, Zhong Yongbin, Zhang Kangming. Internet of Things Perception Object Information Fusion Model1 ScopeThis standard proposes a conceptual model of information fusion of IoT-aware objects, and describes the fusion of perceptual object information in the IoT reference system. The position in the structure. This standard applies to the design and development of information sharing of object-aware systems.2 Normative referencesThe following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article. Pieces. For undated references, the latest edition (including all amendments) applies to this document. GB/T 33474-2016 IoT Reference Architecture GB/T 33745-2017 Internet of Things terminology3 Terms and definitionsThe following terms and definitions defined in GB/T 33745-2017 and GB/T 33474-2016 apply to this document. 3.1 Perceptual object sensingobject Object A physical entity that collects information through a sensing device. 3.2 Information fusion informationfusion Multi-level multi-faceted processing of multi-source information (in the Internet of Things system), time-space unification, error compensation, correlation, estimation, etc. Get accurate object state estimates, complete, timely object properties, posture, and impact estimates. 3.3 Time and space unified timeandspaceunification The information in the input local time and space coordinates is transformed into a unified system reference time and space coordinates. 3.4 Error compensation errorcompensation A process of estimating and compensating for time, space, and other characteristic errors of input object information to achieve time synchronization and cancellation In addition to or reduce space and other feature errors. 3.5 Information association informationassociation From the multi-source multi-object information (signal, data) set, a process of representing the same object information set is generated. 3.6 Signal detection signaldetection Time-space unification, error compensation, signal correlation, signal accumulation and feature extraction for multi-source measurement signals to detect the target as early as possible The processing of the standard signal. GB/T 37686-2019 Internet of things - Sensing object information fusion model ICS 35.110 L79 National Standards of People's Republic of China Internet of Things Perception Object Information Fusion Model Published on.2019-08-30 2020-03-01 implementation State market supervision and administration China National Standardization Administration issued Content Foreword I 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Concept Model 2 5 Fusion Level 3 5.1 level 0 fusion - signal detection 3 5.2 Level 1 Fusion - Object Estimation 3 5.3 Level 2 Fusion - Situation Estimation 6 5.4 Level 3 Convergence - Impact Estimation 7 5.5 Level 4 Fusion - Process Refining 8 5.6 Level 5 Fusion - Cognitive Refining 9 6 Information Fusion in the IoT Reference Architecture 10 6.1 Overview 10 6.2 Description of the relationship between domains and information fusion 11 6.3 Information Transmission Description 11 Appendix A (informative appendix) Disease diagnosis system based on IoT information fusion 13ForewordThis standard was drafted in accordance with the rules given in GB/T 1.1-2009. Please note that some of the contents of this document may involve patents. The issuing organization of this document is not responsible for identifying these patents. This standard is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28). This standard was drafted. Wuxi Internet of Things Industry Research Institute, China Electronics Technology Standardization Research Institute, Shanghai Integrated Communication Equipment Co., Ltd. Division, Xi'an Aerospace Automation Co., Ltd., Shenzhen Standard Technology Research Institute, Jiangnan University Affiliated Hospital, Guangdong Fengtang IOT Technology (Shenzhen) Co., Ltd., Shenzhen Huichuan Technology Co., Ltd., Perception Group Co., Ltd., Zhejiang Qingyutang Technology Co., Ltd., Northwestern Engineering University, Zhongtong Service Consulting Design and Research Institute Co., Ltd. The main drafters of this standard. Qian Weilin, Wang Wenfeng, Fu Genli, Zhang Hui, Li Jianhui, Yang Huijia, Zhang Xujie, Xu Dongmei, Wu Mingjuan, Liu Li, Xie Zhenhua, Xing Tao, Chen Shuyi, Zhang Jianqi, Sun Wanyuan, Shen Jie, Wang Liang, Xu Xiaofeng, Zhong Yongbin, Zhang Kangming. Internet of Things Perception Object Information Fusion Model1 ScopeThis standard proposes a conceptual model of information fusion of IoT-aware objects, and describes the fusion of perceptual object information in the IoT reference system. The position in the structure. This standard applies to the design and development of information sharing of object-aware systems.2 Normative referencesThe following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article. Pieces. For undated references, the latest edition (including all amendments) applies to this document. GB/T 33474-2016 IoT Reference Architecture GB/T 33745-2017 Internet of Things terminology3 Terms and definitionsThe following terms and definitions defined in GB/T 33745-2017 and GB/T 33474-2016 apply to this document. 3.1 Perceptual object sensingobject Object A physical entity that collects information through a sensing device. 3.2 Information fusion informationfusion Multi-level multi-faceted processing of multi-source information (in the Internet of Things system), time-space unification, error compensation, correlation, estimation, etc. Get accurate object state estimates, complete, timely object properties, posture, and impact estimates. 3.3 Time and space unified timeandspaceunification The information in the input local time and space coordinates is transformed into a unified system reference time and space coordinates. 3.4 Error compensation errorcompensation A process of estimating and compensating for time, space, and other characteristic errors of input object information to achieve time synchronization and cancellation In addition to or reduce space and other feature errors. 3.5 Information association informationassociation From the multi-source multi-object information (signal, data) set, a process of representing the same object information set is generated. 3.6 Signal detection signaldetection Time-space unification, error compensation, signal correlation, signal accumulation and feature extraction for multi-source measurement signals to detect the target as early as possible The processing of the standard signal. ......Source: Above contents are excerpted from the full-copy PDF -- translated/reviewed by: www.ChineseStandard.net / Wayne Zheng et al. 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