CAJ | 학술논문

结合通信技术最新发展，本文通过引入云智能，提出了一种基于WiFi的云智能血氧浓度检测系统。该系统利用云计算实现了模糊神经网络的蚁群优化算法，不仅降低了感知端的软硬件设计的复杂度，而且有效提高了血氧检测精度，更有利于血氧健康数据的实时跟踪和长期维护。实验结果表明，本文提出的设计安全可靠，符合智能医疗的发展方向，因此具有较好的应用及推广价值。
결합통신기술최신발전，본문통과인입운지능，제출료일충기우WiFi적운지능혈양농도검측계통。해계통이용운계산실현료모호신경망락적의군우화산법，불부강저료감지단적연경건설계적복잡도，이차유효제고료혈양검측정도，경유리우혈양건강수거적실시근종화장기유호。실험결과표명，본문제출적설계안전가고，부합지능의료적발전방향，인차구유교호적응용급추엄개치。
Combined with the latest developments in communications technology,this paper presented a detection system of oxygen concentration based on WiFi and intelligent cloud. The system utilizes cloud computing to fulfill fuzzy neural, and network to achieve the ant colony optimization algorithm,which not only reduces the complexity of the perceived end hardware and software design,and effectively improves the oxygen detection accuracy,real-time tracking and more condu-cive to long-term maintenance of health data oxygen. Experimental Results shows the design is safe and reliable,consist-ent with the development of intelligent health care,so it has good application and promotional value.