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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Design of intelligent home pension service platform based on machine learning and wireless sensor network
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Design of intelligent home pension service platform based on machine learning and wireless sensor network

机译：基于机器学习和无线传感器网络的智能家居养老金服务平台设计

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摘要

At present, there is a certain lag in the construction of the service platform of the smart home pension system in my country, which does not reflect the use characteristics of the elderly. In order to improve the reliability of the smart service system for the elderly, this research builds a smart home care service platform based on machine learning and wireless sensor networks around the state of the elderly's home life, disease stage, physical state, and intellectual state. Moreover, after comparing the advantages and disadvantages of several wireless sensor communication network technologies and in-depth understanding of communication principles and network topology, the overall design of the system is proposed. In addition, this study combines the design requirements of the system to optimize and improve the wearable physiological parameter collection system and focuses on the design and implementation of the hardware and software of the physiological parameter collection module in the construction of the new system platform. Finally, this study analyzes the performance of the model in this study through controlled trials. The results of the study show that the platform constructed in this paper is effective.
机译：目前，我国智能家居养老系统服务平台建设存在一定的滞后性，不能反映老年人的使用特点。为了提高老年人智能服务系统的可靠性，本研究围绕老年人的家庭生活状态、疾病阶段、身体状态和智力状态，构建了基于机器学习和无线传感器网络的智能家居护理服务平台。此外，在比较了几种无线传感器通信网络技术的优缺点，深入了解了通信原理和网络拓扑结构后，提出了系统的总体设计方案。此外，本研究结合系统的设计要求，对可穿戴生理参数采集系统进行了优化和改进，并在构建新的系统平台时，重点对生理参数采集模块的硬件和软件进行了设计和实现。最后，本研究通过对照试验分析了本研究中模型的性能。研究结果表明，本文构建的平台是有效的。

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