GB/T 37686-2019 in English
VALIDInternet of things—Sensing object information fusion model
- Issued on:2019-08-30
- Implemented on:2020-03-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$243.00
| Standard No: | GB/T 37686-2019 |
| Document status: | VALID |
| Title in English: | Internet of things—Sensing object information fusion model |
| Title in Chinese: | 物联网 感知对象信息融合模型 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 1~3 business days |
| Issued on: | 2019-08-30 |
| Implemented on: | 2020-03-01 |
| ICS Classification: | 35.110-Networking |
| Chinese Classification: | L79-Opening and system interconnection of computer |
| Professional Classification: | GB-National Standard |
| Related Keywords: | things perception object information fusion model
object information fusion object information fusion model introduction object information fusion output object state |
| Related Topics: | internet of things
perception Detection object sensory signal cascade model sensory signal Integration of two networks joint modeling cascade model Electrode Sensing Perceived enthalpy GBT37686 Intelligent network connection perception related Hangzhou IoT sensing access Internet of Things perception layer at home and abroad |
《GB/T 37686-2019物联网 感知对象信息融合模型》由TC28（全国信息技术标准化技术委员会）归口，TC28SC41（全国信息技术标准化技术委员会物联网分会）执行，主管部门为国家标准化管理委员会。
Introduction
1. Standard Overview
GB/T 37686-2019 "Internet of Things Perception Object Information Fusion Model" was proposed and managed by the National Information Technology Standardization Technical Committee, aiming to standardize the fusion process of perception object information in the Internet of Things system. This standard is applicable to the design and development of perception object information fusion in the Internet of Things system.
2. Comparison of standard frameworks
| Fusion level | Input source | Output result | Application scenario |
|---|---|---|---|
| Level 0 fusion (signal detection) | Multi-source original measurement signals | Detected signal data | Real-time signal processing and early warning system |
| Level 1 fusion (object estimation) | Perception device collects data, level 0 fusion output | Object state and attribute estimation | Military Internet of Things and civilian monitoring system |
| Level 2 fusion (situation estimation) | Object status, external environment information | Relationship estimation and situation prediction | Military command and control and smart city management |
| Level 3 fusion (impact estimation) | Situation estimation results, application requirements | Impact level and early warning plan | Security monitoring and risk assessment system |
3. Background of standard formulation and analysis of technological evolution
Background:With the rapid development of Internet of Things technology, the fusion of perceived object information has become a core technology to enhance the intelligence and decision-making capabilities of the system. This standard proposes a unified information fusion framework for the multi-source heterogeneous data characteristics of the Internet of Things system.
Technical evolution:From the early single sensor signal processing, it has gradually developed to the advanced fusion technology of cross-domain collaboration and cognitive enhancement. This standard update focuses on strengthening the cognitive refinement (5-level fusion) module, introducing a human-machine collaboration mechanism, and improving system adaptability.
4. Implementation Suggestions
4.1 Technology Selection and Architecture Design
- Select a fusion level combination (such as level 0+level 1 or full-level fusion) according to actual needs.
- Adopt a modular design to ensure that each fusion level is independent and scalable.
- It is recommended to use a fusion platform that supports distributed computing to cope with large-scale data processing needs.
4.2 Data Management and Storage
- Establish a complete database system, including support databases and fusion databases.
- Optimize data access strategies, reduce redundant storage and improve query efficiency.
- Regularly update the prior knowledge base to improve fusion accuracy.
4.3 System Integration and Interface Specifications
- Follow the standardized IoT reference architecture to ensure system compatibility.
- Define a unified information transmission protocol to support multi-source heterogeneous data access.
- Provide an extensible application service interface to meet different business needs.
4.4 System Optimization and Maintenance
- Regularly evaluate the performance of the fusion process and optimize algorithm parameters.
- Monitor the system operation status and adjust the resource allocation strategy in a timely manner.
- Establish a complete fault warning mechanism to ensure system reliability.
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