【摘要】：隨著無(wú)線(xiàn)傳感器技術(shù)的快速發(fā)展,功能豐富、品類(lèi)繁多的無(wú)線(xiàn)傳感器產(chǎn)品已逐漸融入人們的生活。為了解決無(wú)線(xiàn)傳感器的定位問(wèn)題,出現(xiàn)了眾多高精度、低功耗、低成本的定位技術(shù)。但在如今移動(dòng)互聯(lián)網(wǎng)大潮中,利用手機(jī)終端對(duì)無(wú)線(xiàn)傳感器進(jìn)行定位的解決方案卻始終不太理想。這些解決方案通常直接在無(wú)線(xiàn)傳感器中裝載衛(wèi)星定位模塊,或者只允許手機(jī)終端在處于無(wú)線(xiàn)傳感器信號(hào)覆蓋范圍內(nèi)時(shí)對(duì)其進(jìn)行定位。這兩種方式中,前者提高了無(wú)線(xiàn)傳感器模塊的成本和功耗,后者則應(yīng)用范圍較窄。本文針對(duì)上述問(wèn)題,基于iOS平臺(tái)設(shè)計(jì)和實(shí)現(xiàn)了一套高效、便捷、低成本、低能耗的無(wú)線(xiàn)傳感器定位系統(tǒng)。該系統(tǒng)以智能手機(jī)iPhone作為控制終端,以低功耗藍(lán)牙模塊作為定位目標(biāo),根據(jù)二者是否處于可連接范圍,采用基于藍(lán)牙的RSSI測(cè)距或基于云服務(wù)器的Crowd-GPS技術(shù)兩種方式,實(shí)現(xiàn)對(duì)目標(biāo)無(wú)線(xiàn)傳感器的定位追蹤。論文主要研究?jī)?nèi)容和創(chuàng)新點(diǎn)如下:(1)基于對(duì)無(wú)線(xiàn)傳感器定位、iOSAPP開(kāi)發(fā)、服務(wù)器開(kāi)發(fā)等相關(guān)技術(shù)的分析和研究,完成了基于iOS平臺(tái)的無(wú)線(xiàn)傳感器定位系統(tǒng)的設(shè)計(jì)和實(shí)現(xiàn),包括移動(dòng)客戶(hù)端、無(wú)線(xiàn)傳感器和云服務(wù)器三大部分的開(kāi)發(fā)與配置。(2)采用蘋(píng)果公司基于藍(lán)牙4.0低功耗技術(shù)發(fā)布的軟硬件創(chuàng)新技術(shù)iBeacon,和基于藍(lán)牙的RSSI(Received SignalStrength Indication,接收的信號(hào)強(qiáng)度指示)測(cè)距技術(shù),實(shí)現(xiàn)了 iPhone與無(wú)線(xiàn)傳感器在可連接范圍內(nèi)時(shí)對(duì)無(wú)線(xiàn)傳感器的定位功能。(3)針對(duì)iPhone與無(wú)線(xiàn)傳感器不在可連接范圍內(nèi)的情況,采用了 Crowd-GPS(人群GPS)的設(shè)想,將所有用戶(hù)均視為Crowd-GPS中的"偵察兵",每當(dāng)用戶(hù)移動(dòng)時(shí)都將自己所探測(cè)到的無(wú)線(xiàn)傳感器"位置情報(bào)"上傳至云服務(wù)器。通過(guò)這種方式,云服務(wù)器可以持續(xù)更新和保持所有無(wú)線(xiàn)傳感器的最新位置信息,當(dāng)某用戶(hù)需要尋找自己遺失的無(wú)線(xiàn)傳感器時(shí),只要向云服務(wù)器發(fā)起請(qǐng)求即可。本文從理論上分析了該技術(shù)的可行性,并在設(shè)計(jì)中實(shí)現(xiàn)了 Crowd-GPS定位技術(shù)。最后論文從穩(wěn)定性和實(shí)用性?xún)煞矫鎸?duì)基于iOS的無(wú)線(xiàn)傳感器定位追蹤系統(tǒng)進(jìn)行了測(cè)試,從測(cè)試結(jié)果來(lái)看,系統(tǒng)的各部分運(yùn)行正常,實(shí)現(xiàn)了設(shè)計(jì)預(yù)期的目標(biāo)。
[Abstract]:With the rapid development of wireless sensor technology, many kinds of wireless sensor products have been gradually integrated into people's lives. In order to solve the localization problem of wireless sensors, there are many high-precision, low-power, low-cost positioning technology. However, in today's mobile Internet tide, mobile phone terminals for wireless sensor positioning solutions have not been ideal. These solutions typically load satellite positioning modules directly in wireless sensors or allow mobile terminals to locate them only when they are within the coverage of wireless sensor signals. In these two ways, the former increases the cost and power consumption of the wireless sensor module, while the latter has a narrower range of applications. In this paper, a wireless sensor positioning system with high efficiency, convenience, low cost and low energy consumption is designed and implemented based on iOS platform. The system uses smart phone iPhone as the control terminal and low power Bluetooth module as the positioning target. According to whether the two are in the connectable range, the system adopts two ways: RSSI ranging based on Bluetooth or Crowd-GPS technology based on cloud server. The target wireless sensor can be located and tracked. The main research contents and innovations are as follows: (1) based on the analysis and research of wireless sensor location, iOSAPP development, server development and other related technologies, the design and implementation of wireless sensor positioning system based on iOS platform is completed. It includes the development and configuration of mobile client, wireless sensor and cloud server. (2) iBeacon, a software and hardware innovation technology released by Apple based on Bluetooth 4.0low-power technology, and a Bluetooth-based RSSI (Received SignalStrength Indication, are adopted in the development and configuration of the mobile client, wireless sensor and cloud server. The received signal strength indication) ranging technology realizes the positioning function of the wireless sensor when the iPhone and the wireless sensor can be connected. (3) aiming at the situation that the iPhone and the wireless sensor are not in the connectable range, The idea of Crowd-GPS (crowd GPS) is adopted, which considers all users as "scouts" in Crowd-GPS, and uploads "location intelligence" of the wireless sensor they detect to the cloud server whenever the user moves. In this way, the cloud server can continuously update and keep up-to-date location information for all wireless sensors, and when a user needs to find his or her missing wireless sensor, just make a request to the cloud server. In this paper, the feasibility of this technology is analyzed theoretically, and the Crowd-GPS positioning technology is realized in the design. Finally, the paper tests the wireless sensor location and tracking system based on iOS from two aspects of stability and practicability. From the test results, each part of the system is running normally and achieves the expected goal of the design.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN925;TP212.9

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本文編號(hào)：2455673