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基于WSN的指纹识别就诊服务系统设计

发布时间:2019-04-24 18:59
【摘要】:就诊服务质量的高低是病人获得满意、获得优质服务的重要指标。然而,病人到医院就诊存在着很多问题。首先“黄牛倒号”的现象十分严重,导致病人一号难求。而且病人在择医时存在很大的盲目性,挂错号、选错科室的情况时有存在。病人“常排队、排队长”的现象得不到改善,大部分时间用在排队上,就诊时间却很短。针对上述情况,为了有效解决病人在就诊过程中存在的问题,本课题设计了一种基于无线传感网络技术和指纹识别技术的就诊服务系统。就诊服务系统设计主要分为三个部分:底层ZigBee无线传感网络、GSM发送提醒短信模块与基于MVC模式的B/S架构的上位机系统。底层ZigBee无线传感网络主要由ZigBee技术与指纹识别技术设计实现,基于指纹的唯一性、不可复制性,通过指纹识别就诊节点验证病人身份实现了避免“黄牛倒号”的现象,同时利用ZigBee技术的可移动性与无线性,设计了移动的指纹识别挂号节点方便行动不便的病人挂号,而且护士手持移动的挂号节点方便病人不需到窗口排队挂号;无线通信模块TC35通过GSM网络发送提醒短信通知马上就诊的病人,以免错过治疗;上位机系统功能主要包括病人身份验证、医疗评价、优化排队等模块,实现了医生对病人身份识别、病人评价医生与医院管理员建立排队论模型并对排队长现象进行优化等功能。本文设计实现了基于WSN的指纹识别就诊服务系统的下位机软硬件设计与上位机系统的软件设计。系统以CC2530芯片为核心模块设计了指纹识别就诊节点、指纹识别挂号节点、路由节点与协调器;在Windows操作系统下,结合数据库SQLServer2005、Web服务器Tomcat以及开发框架Spring、Struts2 和 Hibernate3设计实现了基于MVC模式的B/S架构的就诊服务上位机系统,同时在上位机优化排队模块采用Matlab Builder JA技术针对病人排队长现象建立了排队论M/M/C模型并对其进行优化,仿真并分析了随着配置医生人数的不同病人排队等待时间的长短变化,并且以医院服务费用和病人等待损失费用的总费用为优化排队模型的数量指标来配置合适数目的医生;最后对系统进行联合调试,实现了避免“黄牛倒号”现象、指导病人科学就医与有效地减少病人排队时间等功能。
[Abstract]:The quality of medical service is an important index for patients to obtain satisfactory and high-quality service. However, there are many problems with patients coming to the hospital. First of all, the phenomenon of "cattle inverted sign" is very serious, resulting in patient No. 1 difficult to obtain. Moreover, patients have great blindness in the selection of medical treatment, the wrong number, the situation of selecting the wrong department from time to time. Patients "often queue, platoon captain" phenomenon has not been improved, most of the time spent on the queue, but very short visit time. In order to solve the problems existing in the process of seeing a doctor effectively, a medical service system based on wireless sensor network technology and fingerprint identification technology is designed in this paper. The design of the consultation service system is divided into three parts: the bottom ZigBee wireless sensor network, the GSM sending alert message module and the host computer system based on the MVC mode Bass architecture. The underlying ZigBee wireless sensor network is mainly designed and implemented by ZigBee technology and fingerprint identification technology. Based on the uniqueness and non-replicability of fingerprint, the identification of patient is verified by fingerprint identification node, and the phenomenon of "cattle inverted sign" is avoided. At the same time, using the mobility and non-linearity of ZigBee technology, the mobile fingerprint identification registration node is designed to facilitate the mobile patient registration, and the nurse hand-held mobile registration node is convenient for the patient to queue up to the window. The wireless communication module TC35 sends reminding message through the GSM network to inform the patients who are visiting immediately so as not to miss the treatment. The main functions of the upper computer system include the identification of patients, medical evaluation, optimization of queuing and other modules to realize the identification of doctors to patients. Patients evaluate doctors and hospital administrators to establish queuing theory model and optimize platoon captains. In this paper, the software and hardware design of the fingerprint identification service system based on WSN and the software design of the upper computer system are designed and implemented. The system uses CC2530 chip as the core module to design fingerprint identification node, fingerprint identification registration node, routing node and coordinator. Under the Windows operating system, combined with the database SQLServer2005,Web server Tomcat and the development framework Spring,Struts2 and Hibernate3, a doctor service host system based on MVC mode is designed and implemented. At the same time, the queuing theory M/C model is established and optimized in the upper computer optimization queue module by using Matlab Builder JA technology to solve the problem of patient queue length. In this paper, we simulate and analyze the change of waiting time of patients with different number of doctors, and use the cost of hospital service and the total cost of patient waiting loss as the quantity index of the optimized queuing model to configure the appropriate number of doctors. Finally, the joint debugging of the system is carried out to avoid the phenomenon of "cattle inverted sign", to guide patients to seek medical treatment scientifically and to effectively reduce patient queue time and so on.
【学位授予单位】:西南交通大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TH789

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