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工程设计学报
工程设计学报  2020, Vol. 27 Issue (3): 389-397    DOI: 10.3785/j.issn.1006-754X.2020.00.039
整机和系统设计     
民宿无人值守智能管理系统设计与实现
刘羽嘉1, 潘滨2, 李东泽1, 李凤迪1, 张迁1, 孙丰刚1, 兰鹏1
1.山东农业大学 信息科学与工程学院， 山东 泰安 271018
2.山东泰开互感器有限公司， 山东 泰安 271000
Design and implementation of unattended intelligent management system for homestay
LIU Yu-jia1, PAN Bin2, LI Dong-ze1, LI Feng-di1, ZHANG Qian1, SUN Feng-gang1, LAN Peng1
1.College of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China
2.Shandong Taikai Instrument Transformer Co., Ltd., Taian 271000, China
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摘要： 在民宿的运营成本中，人力成本与能源成本所占份额较大。为了在降低成本和减少能源损耗的同时增加收益，设计了一款民宿无人值守智能管理系统。基于数据挖掘技术，利用爬虫程序获取了大量民宿运营数据，为辅助民宿商户决策提供参考；使用无线RFID（radio frequency identification，射频识别）技术，通过读写器读取对应标签的RSSI（received signal strength indicator，接受信号强度指示器）值来检测人体位置的变化情况，使得入住管理和退房管理更加高效；通过STM32控制模块控制照明灯、窗帘和空调等的驱动电路以实现自动控光、自动控温等功能，或通过智能触控面板手动控制智能家居设备。结果表明：结合SVM（support vector machine,支持向量机）算法，RFID检测系统可准确检测到房间内人员的变化情况，其准确率达到99.25%，具有较高的实用价值。研究显示，该智能管理系统可实现民宿的无人值守管理，既降低了人力成本又减少了能源损耗，为响应国家智能用电服务的乡村振兴战略奠定了基础。
Abstract: In the operation cost of homestay, labor cost and energy cost account for a large share of total cost. In order to increase revenue while reducing costs and energy consumption, an unattended intelligent management system for homestay is designed. Based on the data mining technology, the crawler program was used to obtain a large amount of homestay operation data to provide reference for assisting homestay merchants to make decisions. Through the wireless RFID (radio frequency identification) technology, the RSSI (received signal strength indicator) values of corresponding tags were read by the reader to detect the change of human body position, which made the check-in management and check-out management more efficient. The STM32 control module was used to control the driving circuits of lamps, curtains and air conditioners to realize the functions of automatic light control and automatic temperature control, or the intelligent touch panel was used to control the intelligent home equipment manually. The experimental results showed that combining with the SVM (support vector machine) algorithm, the RFID detect system could accurately detect the change of human in the room, and the accuracy rate was up to 99.25%, which had high practical application value. The research shows that the intelligent management system can realize the unattended management for homestay and reduce labor costs and energy consumption, which lays the foundation for responding to the national strategy of intelligent electricity service for rural revitalization.
收稿日期: 2019-09-26 出版日期: 2020-06-28
:  TM 926  
基金资助: 山东省重点研发计划资助项目（2019GNC106106）；山东省自然科学基金资助项目（ZR2019MF026）
通讯作者: 兰鹏（1981—），男，山东泰安人，教授，博士，从事农业信息化研究，E-mail：lanpeng@sdau.edu.cn     E-mail: lanpeng@sdau.edu.cn
作者简介: 刘羽嘉（1996—），女，山东泰安人，硕士生，从事农业信息服务技术与工程研究，E-mail：505768565@qq.com，https://orcid.org/0000-0001-8684-9790。
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引用本文:

刘羽嘉, 潘滨, 李东泽, 李凤迪, 张迁, 孙丰刚, 兰鹏. 民宿无人值守智能管理系统设计与实现[J]. 工程设计学报, 2020, 27(3): 389-397.

LIU Yu-jia, PAN Bin, LI Dong-ze, LI Feng-di, ZHANG Qian, SUN Feng-gang, LAN Peng. Design and implementation of unattended intelligent management system for homestay. Chinese Journal of Engineering Design, 2020, 27(3): 389-397.

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https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2020.00.039    或    https://www.zjujournals.com/gcsjxb/CN/Y2020/V27/I3/389

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