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1.
公开(公告)号:US20190064750A1
公开(公告)日:2019-02-28
申请号:US15757021
申请日:2016-08-29
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Steven T. AWISZUS , Michael BAHNERS , Robert BIALLUCH , Nadine E. BRUECKMANN , Frank T. HERFORT , Kiran S. KANUKURTHY , Markus Gunther Wilfried LIERSE , Eric C. LOBNER , Hugh Gerard Henry Tracey MURPHY , Michael H. STALDER
IPC: G04F13/00 , A42B3/04 , A61F9/06 , A61F11/14 , A41D13/00 , A62B9/00 , A62B35/00 , A62B18/08 , A43B7/32 , A43B3/00
Abstract: The present disclosure includes an article of PPE. The device includes a first sensor that detects whether the article of PPE is being worn by a user, a processing module and a communications module. The processing module includes a clock that measures the length of time that the article of PPE is being worn by the user, and memory for storage of usage data, wherein usage data includes the length of time the article of PPE has been worn by the user. The communications module is for wirelessly transmitting stored usage data to a device separate from the article of PPE.
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2.
公开(公告)号:US20170374436A1
公开(公告)日:2017-12-28
申请号:US15631870
申请日:2017-06-23
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Steven T. AWISZUS , Eric C. LOBNER , Michael G. WURM , Kiran S. KANUKURTHY , Jia HU , Matthew J. BLACKFORD , Keith G. MATTSON , Ronald D. JESME , Nathan J. ANDERSON
CPC classification number: H04Q9/00 , A61F9/06 , A62B9/00 , A62B18/00 , A62B27/00 , A62B99/00 , G06F17/30516
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.
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公开(公告)号:US20180108236A1
公开(公告)日:2018-04-19
申请号:US15782676
申请日:2017-10-12
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Kiran S. KANUKURTHY , Steven T. AWISZUS , Eric C. LOBNER , Michael G. WURM , Kenneth J. GAMBERINI
IPC: G08B21/02 , A62B18/08 , A41D13/002
CPC classification number: G08B21/0275 , A41D13/002 , A62B9/006 , A62B18/08 , G06Q10/0635 , G06Q10/0639 , G06Q50/265 , G08B7/06 , G08B21/02 , G08B21/12
Abstract: In some examples, a system includes: an article of personal protective equipment (PPE) that includes a communication component; a computing device communicatively coupled to the article of PPE, wherein the computing device: receives context data that is based on one or more of the article of PPE, a work environment for the article of PPE, or a worker assigned to the article of PPE; selects, based at least in part on the context data, a set of programmable safety rules that are contextually associated with the at least one article of PPE; sends the programmable safety rules to one or more of the article of PPE or a data hub communicatively coupled to the article of PPE; and wherein the programmable safety rules are configured at the article of PPE or the data hub to perform one or more operations based at least in part on PPE data.
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公开(公告)号:US20170372216A1
公开(公告)日:2017-12-28
申请号:US15631950
申请日:2017-06-23
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Steven T. AWISZUS , Kiran S. KANUKURTHY , Eric C. LOBNER , Robert J. QUINTERO , Micayla A. JOHNSON , Madeleine FILLOUX
CPC classification number: G06N7/005 , A41D13/12 , A61F9/06 , A61F11/14 , A62B7/00 , A62B9/006 , A62B18/006 , A62B27/00 , G06N20/00
Abstract: In some examples, a system includes an article of personal protective equipment (PPE) comprising one or more sensors, the one or more sensors configured to generate usage data that is indicative of an operation of the article of PPE; and at least one computing device comprising a memory and one or more computer processors that: receive the usage data that is indicative of the operation of the article of PPE; apply the usage data to a safety learning model that predicts a likelihood of an occurrence of a safety event associated with the article of PPE based at least in part on previously generated usage data that corresponds to the safety event; and perform, based at least in part on predicting the likelihood of the occurrence of the safety event, at least one operation.
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