云梯系统饿了么外卖入梯分析数据

依据本数据，及时在轿厢内提醒乘客安全乘梯，设备抓图便于在发生突发状况时，快速了解现场状况，定位电梯及乘客所在位置，对居民安全起到实际保障作用；定期对告警数据设备抓图所反映的现场情况进行分析，方便物业进行日常监管；根据数据分析结果，可以为外卖平台提供更加精准的市场洞察和服务优化建议，调整配送策略、优化配送网络、提升服务质量等。1.通过基于传感器的实时电梯门开关状态检测算法检出处于运行状态的电梯； 2.开启电梯内摄像头抓图服务(抓图频率1FPS),并将图片上传到华为云obs。云端算法服务器从华为云obs拉取到图片后，通过基于深度学习神经网络训练的目标检测算法进行图片检测，输出图片相关属性；3.输出的图片属性包含：目标类型category、目标坐标框box、目标结果置信度score、目标匹配groupid； 4.对输出的目标类型进行识别，若目标类型category=23，表示目标结果为饿了么外卖员，系统会向平台发送饿了么外卖员入梯告警，告警时间为时间戳，更加精准。

Based on this dataset, real-time safety reminders for passengers riding elevators can be provided inside the elevator car. The device-captured images enable rapid on-site situation awareness and positioning of elevators and passengers during emergencies, effectively ensuring residents' safety. Regular analysis of on-site scenarios reflected by alarm data and captured images facilitates daily supervision for property management. Additionally, based on data analysis results, more precise market insights and service optimization suggestions can be provided for food delivery platforms, including adjusting delivery strategies, optimizing delivery networks, and improving service quality. 1. Detect operating elevators using a real-time elevator door state detection algorithm based on sensors; 2. Enable the in-elevator camera image capture service (with a capture frequency of 1 FPS) and upload images to Huawei Cloud OBS. After the cloud algorithm server pulls the images from Huawei Cloud OBS, it performs image detection using a target detection algorithm trained on deep learning neural networks, and outputs relevant image attributes; 3. The output image attributes include: target category, target bounding box, target confidence score, and target matching groupid; 4. Identify the output target category: if the target category equals 23, which indicates the target is an Ele.me delivery rider, the system will send an alarm to the platform notifying that an Ele.me delivery rider has entered the elevator, with the alarm time recorded as a timestamp for enhanced precision.