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SYSTEM AND METHOD TO PREDICT AND AVOID MUSCULOSKELETAL INJURIES

机译:预测和避免肌肉骨骼损伤的系统和方法

摘要

A miniaturized, ruggedized, field-deployable Portable Exposure Assessment System (PEAS) is used to remotely monitor workers and provide real-time warning of exposure to musculoskeletal injury conditions via alarm and smart-phone transmission. The PEAS unit wirelessly acquires exposure data from sensors; conducts initial data analysis; triggers proximal and remote alarms; sends out text messages with abnormal data, GPS locations, and time stamps to a safety office; and saves data for more extensive assessment. Sensor technology is used in this field-deployable system to simultaneously measure and collect the body loads and awkward postures imposed by package handling as well as driving-related, low-frequency vibration exposures. Wireless technology is used to set up wireless communication links between the sensors and a data logger and between the data logger and a smart phone with GPS, date/time stamp and text messaging capabilities.
机译:微型,坚固耐用,可在现场部署的便携式暴露评估系统(PEAS)用于远程监控工人,并通过警报和智能电话传输功能,对暴露于肌肉骨骼损伤的情况提供实时警告。 PEAS单元以无线方式从传感器获取曝光数据;进行初始数据分析;触发近端和远程警报;向安全办公室发送带有异常数据,GPS位置和时间戳的文本消息;并保存数据以进行更广泛的评估。在该可现场部署的系统中使用传感器技术来同时测量和收集由包裹处理以及与驾驶相关的低频振动暴露所施加的身体负荷和笨拙的姿势。无线技术用于在传感器和数据记录器之间以及数据记录器和具有GPS,日期/时间戳和文本消息收发功能的智能手机之间建立无线通信链接。

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