US2020096952A1PendingUtilityA1

Fall protection equipment event generation and monitoring

Assignee: 3M INNOVATIVE PROPERTIES COPriority: Oct 14, 2016Filed: Nov 26, 2019Published: Mar 26, 2020
Est. expiryOct 14, 2036(~10.2 yrs left)· nominal 20-yr term from priority
G05B 6/02A62B 35/0093G05B 17/02A62B 35/0043G05B 9/02A62B 35/0037
67
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Claims

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.

Claims

exact text as granted — not AI-modified
1 . (canceled) 
     
     
         2 . A system comprising:
 a self-retracting lifeline (SRL) comprising:
 a first connector configured to be coupled to an anchor; 
 a second connector configured to be coupled to a user of the lifeline; 
 one or more electronic sensors, the one or more electronic sensors configured to generate usage data that is indicative of an operation of the SRL; 
 a first communication component; and 
   a data hub comprising:
 a second communication component; 
 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, from the first communication and by the second communication component, usage data for the SRL; 
 apply the usage data to a safety model stored in the memory, the usage data characterizing a force applied to the lifeline of the SRL based on activity of a user of the SRL; 
 determine, based on identification of anomalous behavior of the user of the SRL relative to known safe behavior characterized by the safety model, an occurrence of a safety event associated with the SRL based on application of the usage data to the safety model, wherein the anomalous behavior of the user is characterized by the force applied to the lifeline of the SRL over a time period exceeding a force associated with safe activity of the SRL over the time period; and 
 perform at least one operation based at least in part on determining the occurrence of the safety event associated with the SRL. 
 
   
     
     
         3 . The system of  claim 2 , wherein the safety model is constructed from historical data of known safety events from a plurality of SRLs having similar characteristics to the SRL. 
     
     
         4 . The computing device of  claim 2 , wherein the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to update the safety model based on the usage data from at least one of the SRL or one or more devices other than the SRL. 
     
     
         5 . The computing device of  claim 2 , wherein the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to select the safety model based on at least one of a configuration of the SRL, the user of the SRL, an environment in which the SRL is used, or one or more other devices that are in use with the SRL. 
     
     
         6 . The computing device of  claim 2 , wherein to apply the usage data to the safety model the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to apply the usage data to the safety model that is constructed from training data of known safety events associated with a plurality of SRLs. 
     
     
         7 . The computing device of  claim 2 , wherein to perform the at least one operation the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to generate at least one alert for output. 
     
     
         8 . The computing device of  claim 2 , wherein to perform the at least one operation the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to send a message to a remote computing device. 
     
     
         9 . A self-retracting lifeline (SRL) comprising:
 a first connector configured to be coupled to an anchor;   a second connector configured to be coupled to a user of the lifeline;   one or more electronic sensors, the one or more electronic sensors configured to generate usage data that is indicative of an operation of the SRL;   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, from the one or more electronic sensors, usage data for the SRL;   apply the usage data to a safety model stored in the memory, the usage data characterizing a force applied to the lifeline of the SRL based on activity of a user of the SRL;   determine, based on identification of anomalous behavior of the user of the SRL relative to known safe behavior characterized by the safety model, an occurrence of a safety event associated with the SRL based on application of the usage data to the safety model, wherein the anomalous behavior of the user is characterized by the force applied to the lifeline of the SRL over a time period exceeding a force associated with safe activity of the SRL over the time period; and   perform at least one operation based at least in part on determining the occurrence of the safety event associated with the SRL.   
     
     
         10 . The SRL of  claim 9 , wherein the safety model is constructed from historical data of known safety events from a plurality of SRLs having similar characteristics to the SRL. 
     
     
         11 . The SRL of  claim 9 , wherein the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to update the safety model based on the usage data from at least one of the SRL or one or more devices other than the SRL. 
     
     
         12 . The SRL of  claim 9 , wherein the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to select the safety model based on at least one of a configuration of the SRL, the user of the SRL, an environment in which the SRL is used, or one or more other devices that are in use with the SRL. 
     
     
         13 . The SRL of  claim 9 , wherein to apply the usage data to the safety model the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to apply the usage data to the safety model that is constructed from training data of known safety events associated with a plurality of SRLs. 
     
     
         14 . The SRL of  claim 9 , wherein to perform the at least one operation the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to generate at least one alert for output. 
     
     
         15 . The SRL of  claim 9 , wherein to perform the at least one operation the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to send a message to a remote computing device. 
     
     
         15 . The SRL of  claim 9 , wherein the one or more sensors comprise at least one of an extension sensor, a tension sensor, an accelerometer, a location sensor, or an altimeter. 
     
     
         16 . The SRL of  claim 9 , further comprising one or more environment sensors configured to generate data indicative of an environment in which the self-retracting lifeline is located. 
     
     
         17 . The SRL of  claim 16 , wherein the one or more environment sensors are configured to generate data indicative of at least one of temperature, barometric pressure, humidity, particulate content, or ambient noise. 
     
     
         18 . A 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, from one or more electronic sensors configured in a self-retracting lifeline (SRL), usage data for the SRL;   apply the usage data to a safety model stored in the memory, the usage data characterizing a force applied to a lifeline of the SRL based on activity of a user of the SRL;   determine, based on identification of anomalous behavior of the user of the SRL relative to known safe behavior characterized by the safety model, an occurrence of a safety event associated with the SRL based on application of the usage data to the safety model, wherein the anomalous behavior of the user is characterized by the force applied to the lifeline of the SRL over a time period exceeding a force associated with safe activity of the SRL over the time period; and   perform at least one operation based at least in part on determining the occurrence of the safety event associated with the SRL.   
     
     
         19 . The computing device of  claim 18 , wherein the safety model is constructed from historical data of known safety events from a plurality of SRLs having similar characteristics to the SRL. 
     
     
         20 . The computing device of  claim 18 , wherein to perform the at least one operation the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to generate at least one alert for output. 
     
     
         21 . The computing device of  claim 18 , wherein to perform the at least one operation the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to send a message to a remote computing device.

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