平衡车梯控告警分析数据

1、为保障消防安全，一般居民楼禁止平衡车入梯，云梯系统记录、分析居民乘梯行为，生成平衡车梯控告警数据，梯控告警是摄像头在电梯轿厢门开启到关闭过程中，抓图检测电梯内物体，云端算法检测到禁入物体后，通过梯控信号板使电梯门保持常开，阻止相应物体乘梯，避免潜在安全事故发生；2、本数据帮助物业管理公司制定更加合理的平衡车安全管理措施，根据平衡车发生的次数，决定电梯安全宣传和电梯维保的频率；3、在发生突发状况时，快速了解现场状况，定位电梯所在位置，及时处理；4、定期对告警数据设备抓图所反映的现场情况进行分析，了解乘梯人的需求和习惯，为物业管理方提供了优化资源配置的依据，使他们能够更精准地调配人员和设施，提升物业服务的响应速度和准确性；5、公开报道一段时间内平衡车梯控告警数据，可以提高公众对平衡车入梯安全的重视程度。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； 4.对输出的目标类型进行识别，若目标类型category=3，表示目标结果为平衡车，通过梯控信号板使电梯门保持常开，阻止平衡车入梯，告警时间为时间戳，更加精准。

1. To ensure fire safety, electric self-balancing scooters are generally prohibited from entering elevators in residential buildings. The elevator control system records and analyzes residents' elevator-taking behaviors, and generates elevator control alarm data for electric self-balancing scooters. The elevator control alarm mechanism operates as follows: the camera captures images of objects inside the elevator during the full opening-closing cycle of the elevator car door. Once the cloud-based algorithm detects a prohibited object, it activates the elevator control signal board to keep the door permanently open, preventing the object from entering the elevator and thus avoiding potential safety accidents. 2. This dataset helps property management companies develop more reasonable safety management measures for electric self-balancing scooters. The frequency of elevator safety publicity activities and elevator maintenance can be determined based on the number of incidents where such scooters attempt to enter elevators. 3. In the event of an emergency, relevant personnel can quickly understand the on-site situation, locate the exact position of the elevator, and handle the issue promptly. 4. Regular analysis of the on-site conditions reflected by the captured images from the alarm data equipment helps understand the needs and habits of elevator riders, providing a basis for property management teams to optimize resource allocation, enabling them to more accurately deploy personnel and facilities, and improve the response speed and accuracy of property services. 5. Publishing the elevator control alarm data for electric self-balancing scooters over a certain period can raise public awareness of the safety issues associated with bringing such scooters into elevators. 1. Detect operating elevators using a real-time elevator door switch state detection algorithm based on sensors. 2. Enable the in-elevator camera image capture service (with a capture frequency of 1 FPS), and upload the captured images to Huawei Cloud Object Storage Service (OBS). After pulling the images from HUAWEI CLOUD OBS, the cloud-based algorithm server performs image detection via an object detection algorithm trained on deep learning neural networks, and outputs relevant image attributes. 3. The output image attributes include: target category, target bounding box, and target detection confidence score. 4. Identify the output target category: if the target category equals 3, the detected object is an electric self-balancing scooter. The system will activate the elevator control signal board to keep the door permanently open to prevent the scooter from entering the elevator, with the alarm time recorded as a timestamp for higher precision.

搜集汇总

数据集介绍

特点

该数据集记录了平衡车进入电梯的告警信息，包含小区位置、告警时间和设备抓图等字段，用于消防安全管理和物业资源配置优化。数据每日更新，通过深度学习算法检测平衡车并触发梯控告警。