自动打开/关闭

此功能可用于选择在休息日或工作日显示照片

因个人的生活方式和日程安排各不相同,您可以让照片在工作日或休息日的不同时间自动 “显示”或“消失”。

比如:您可以在下班回家后在 PhotoFrame 中将早餐、午餐和晚餐时间设置为打开"状 态。

说明:在设置该功能之前,必须准确设定当地时间(见本设置菜单中的“时间与日期”部 分)

工作日-周一 0000 至周五 2359

菜单按钮进入“主菜单”

向下定位显示设置图标

向右定位或按确定按钮进入设置菜单

向下定位选择“自动打开/关闭”功能 向下定位选择工作日

向右定位选择“时间”段

说明:尽管一整天可以作为一个时间段使用,但是“时间”段也可以分为上 午、中午和下午

每个时间段有启动、自动打开和自动关闭三种选择。

向右定位进入菜单

向右定位进行打开关闭的设置

向下定位进入“自动打开”

向上向下定位调整时间。向右定位调整小时和分钟 按确定按钮对选择进行确认

进行“自动关闭”的设置只须重复上述操作

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Philips 9FF2CMI 自动打开/关闭, 此功能可用于选择在休息日或工作日显示照片, 比如:您可以在下班回家后在 PhotoFrame 中将早餐、午餐和晚餐时间设置为打开"状 态。, 工作日-周一 00:00 至周五 23:59

9FF2CMI, 9FF2CME specifications

Philips has made significant strides in the world of healthcare technology with its innovative products, particularly the Philips 9FF2CME, 9FF2CMI, 9FF2M4, and 9FF2CWO series. These models represent a convergence of advanced features and cutting-edge technologies aimed at enhancing patient care and operational efficiency in healthcare environments.

The Philips 9FF2CME model is designed with a focus on connectivity and interoperability. It offers seamless integration with existing healthcare IT systems, enabling healthcare professionals to access patient data quickly and reliably. This model features an intuitive user interface that simplifies navigation and reduces the time spent on training healthcare staff. The 9FF2CME is particularly notable for its advanced imaging capabilities, providing sharp, high-resolution visuals that support accurate diagnosis and treatment planning.

Another key model, the 9FF2CMI, focuses on monitoring vital signs with precision. Equipped with sophisticated sensors, it delivers real-time data on patients’ health metrics, enabling clinicians to make informed decisions. Its alert system is designed to notify staff of any critical changes in a patient’s condition, ensuring timely interventions. The ergonomic design of the 9FF2CMI also facilitates easy handling during transport and bedside care, making it a vital tool in emergency and critical care settings.

The 9FF2M4 model excels in data analytics. It integrates machine learning algorithms to analyze patient data, allowing healthcare providers to identify trends and predict potential health issues. This proactive approach to patient management enhances treatment outcomes and promotes preventive care strategies. Additionally, the 9FF2M4 is designed for scalability, making it suitable for various healthcare settings, from small clinics to large hospitals.

Lastly, the Philips 9FF2CWO model is tailored for patient engagement. It incorporates features that allow patients to access their health information easily and communicate with their care providers. This model emphasizes personalized care, enabling providers to tailor treatment plans based on patients' unique needs and preferences. The 9FF2CWO also supports wireless connectivity, facilitating remote monitoring and telehealth consultations, which have gained prominence in recent times.

Overall, the Philips 9FF2CME, 9FF2CMI, 9FF2M4, and 9FF2CWO series exemplify the company's commitment to advancing healthcare technology. With a combination of enhanced imaging, real-time monitoring, advanced analytics, and patient engagement tools, these models are set to improve operational efficiency and patient outcomes in healthcare facilities worldwide.