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    FALL-PROTECTION APPARATUS COMPRISING FRICTION BRAKE
    1.
    发明申请
    FALL-PROTECTION APPARATUS COMPRISING FRICTION BRAKE 审中-公开

    公开(公告)号：WO2019012454A1

    公开(公告)日：2019-01-17

    申请号：PCT/IB2018/055124

    申请日：2018-07-11

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： BORAAS, Michael A. ,  MATTSON, Keith G.

    IPC: A62B1/14 ,  A62B1/18

    Abstract: A non-motorized fall-protection apparatus, comprises a drum, and a rotationally-activated braking device that comprises at least one pawl and at least one ratchet with at least one tooth that is engagable by an engaging end of the at least one pawl, wherein the rotationally-activated braking device comprises a limited-use, constant-contact friction brake comprising at least one layer of friction material with a friction-braking surface and at least one rotatable member with a contact surface that is in contact with the friction-braking surface of the layer of friction material.

    PERSONAL PROTECTIVE EQUIPMENT (PPE) WITH ANALYTICAL STREAM PROCESSING FOR SAFETY EVENT DETECTION
    2.
    发明申请
    PERSONAL PROTECTIVE EQUIPMENT (PPE) WITH ANALYTICAL STREAM PROCESSING FOR SAFETY EVENT DETECTION 审中-公开
    用于安全事件检测的具有分析流处理功能的个人防护设备（PPE）

    公开(公告)号：WO2017223476A1

    公开(公告)日：2017-12-28

    申请号：PCT/US2017/039041

    申请日：2017-06-23

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： AWISZUS, Steven T. ,  LOBNER, Eric C. ,  WURM, Michael G. ,  KANUKURTHY, Kiran S. ,  HU, Jia ,  BLACKFORD, Matthew J. ,  MATTSON, Keith G. ,  JESME, Ronald D. ,  ANDERSON, Nathan J.

    IPC: G06Q10/06

    Abstract: In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

    Abstract translation: 在一些示例中，系统包括具有被配置为生成使用数据流的至少一个传感器的个人防护装备（PPE）物品; 以及分析流处理组件，包括：通信组件，其接收所述使用数据流; 存储器，其经配置以存储所述使用数据流的至少一部分和用于检测安全事件签名的至少一个模型，其中所述至少一个模型至少部分基于由一个或一个以上 与PPE物品相同类型的其他PPE物品; 以及一个或多个计算机处理器，其被配置为：基于使用所述模型处理所述使用数据流来检测所述使用数据流中的所述安全事件签名，并且响应于检测到所述安全事件签名来生成输出。

    FALL PROTECTION EQUIPMENT EVENT GENERATION AND MONITORING
    4.
    发明申请
    FALL PROTECTION EQUIPMENT EVENT GENERATION AND MONITORING 审中-公开
    防坠落设备事件发生与监测

    公开(公告)号：WO2018071695A1

    公开(公告)日：2018-04-19

    申请号：PCT/US2017/056376

    申请日：2017-10-12

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： HU, Jia ,  BLACKFORD, Matthew J. ,  MATTSON, Keith G. ,  JESME, Ronald D. ,  ANDERSON, Nathan J.

    IPC: A62B35/00

    Abstract: In some examples, a system includes a self-retracting lifeline (SRL) comprising one or more electronic sensors, the one or more electronic sensors configured to generate data that is indicative of an operation of the SRL; and at least one computing device comprising one or more computer processors and a memory comprising instructions that when executed by the one or more computer processors cause the one or more computer processors to: receive the data that is indicative of the operation of the SRL; apply the data to a safety model that predicts a likelihood of an occurrence of a safety event associated with the SRL; and perform one or more operations based at least in part on the likelihood of the occurrence of the safety event.

    Abstract translation: 在一些示例中，系统包括包括一个或多个电子传感器的自缩回生命线（SRL），所述一个或多个电子传感器被配置为生成指示所述SRL的操作的数据; 以及包括一个或多个计算机处理器和存储器的至少一个计算设备，所述存储器包括指令，所述指令在由所述一个或多个计算机处理器执行时使所述一个或多个计算机处理器：接收指示所述SRL的操作的数据; 将数据应用于预测发生与SRL相关的安全事件的可能性的安全模型; 并至少部分基于发生安全事件的可能性来执行一个或多个操作。

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