US2024041221A1PendingUtilityA1

Systems and methods for detecting presence of leaks in beds

Assignee: SLEEP NUMBER CORPPriority: Aug 2, 2022Filed: Jul 20, 2023Published: Feb 8, 2024
Est. expiryAug 2, 2042(~16 yrs left)· nominal 20-yr term from priority
A47C 27/083A47C 27/082A47C 27/10
50
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Claims

Abstract

Disclosed herein are systems, methods, and techniques for detecting presence of leaks and/or holes in bed systems. An example system can include a bed system having a mattress to support a user laying on the bed system, at least one sensor that can be configured to collect pressure data on the bed system, and a computer system having a processor and memory. The computer system can be configured to: receive the pressure data that is collected by the at least one sensor, provide, as input, the pressure data to a model to detect presence of a leak in the mattress of the bed system based at least in part on the pressure data, receive, as output from the model, data indicating the detected presence of a leak in the mattress, and return a message indicating the detected presence of a leak in the mattress.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A system comprising:
 a bed system having a mattress to support a user laying on the bed system;   at least one sensor configured to collect pressure data on the bed system; and   a computer system comprising a processor and memory, wherein the computer system is configured to:
 receive the pressure data that is collected by the at least one sensor; 
 provide, as input, the pressure data to a model to detect presence of a leak in the mattress of the bed system based at least in part on the pressure data; 
 receive, as output from the model, data indicating the detected presence of a leak in the mattress; and 
 return a message indicating the detected presence of a leak in the mattress. 
   
     
     
         2 . The system of  claim 1 , wherein the model is a linear model. 
     
     
         3 . The system of  claim 1 , wherein the model is a polynomial model including at least one of a logistic regression model and a support vector machine (SVM) model. 
     
     
         4 . The system of  claim 1 , wherein the model is a physics-based model that includes variables for volume data and the pressure data of the bed system, wherein the physics-based model is configured to determine a hole diameter value of the leak in the mattress based at least in part on the volume data and the pressure data. 
     
     
         5 . The system of  claim 1 , wherein the model is a neural network model. 
     
     
         6 . The system of  claim 1 , wherein the computer system is configured to receive the pressure data in response to:
 receiving an indication from a user device to initiate a leak detection test for the bed; and   transmitting a signal to a pump of the bed system to inflate the mattress of the bed system.   
     
     
         7 . The system of  claim 1 , wherein the bed system further comprises a pump configured to inflate and deflate the mattress, wherein the at least one sensor is in fluid communication with the pump. 
     
     
         8 . The system of  claim 1 , wherein the mattress includes at least one air chamber, wherein the at least one sensor is a pressure sensor in fluid communication with the air chamber. 
     
     
         9 . The system of  claim 1 , wherein the bed system further comprises means for controlling pressure of the mattress that includes the at least one sensor. 
     
     
         10 . The system of  claim 1 , wherein the computer system is configured to:
 determine, based on initial pressure data sensed by the at least one sensor, whether a foundation of the bed system is flat;   determine, based on the initial pressure data sensed by the at least one sensor, whether the user is laying on the mattress; and   poll, based on a determination that the foundation is flat and the user is not laying on the mattress, the at least one sensor for the pressure data.   
     
     
         11 . The system of  claim 10 , wherein the computer system is configured to:
 control the bed system to adjust the foundation to a flat position based on a determination that the foundation is not flat; and   poll, in response to adjusting the foundation to the flat position, the at least one sensor for the pressure data.   
     
     
         12 . The system of  claim 11 , wherein the computer system is further configured to store, in local memory of the computer system, current settings of the bed system before controlling the bed system to adjust the foundation to the flat position, wherein the current settings correspond to a state of the bed system. 
     
     
         13 . The system of  claim 12 , wherein the state of the bed system includes at least one of (i) a position of the foundation, (ii) a firmness setting of the mattress, (iii) a responsive air setting for the bed system, and (iv) an activation of a heating or cooling feature of the bed system. 
     
     
         14 . The system of  claim 12 , wherein the computer system is further configured to:
 retrieve, from the local memory and after returning the detected presence of the leak in the mattress, the stored settings of the bed system; and   control the bed system to adjust to the stored settings.   
     
     
         15 . The system of  claim 1 , wherein the computer system is configured to:
 determine, based on the pressure data, a leak rate for the mattress of the bed system;   determine whether the leak rate exceeds a threshold leak rate value;   generate a leak presence indication for the bed system based on a determination that the leak rate exceeds the threshold leak rate value; and   return the leak presence indication.   
     
     
         16 . A system comprising:
 a bed system having a mattress to support a user laying on the bed system;   at least one sensor configured to collect pressure data on the bed system; and   a computer system comprising a processor and memory, wherein the computer system is configured to:
 receive the pressure data that is collected by the at least one sensor; 
 determine, based on the pressure data, a leak rate for the bed system; 
 determine whether the leak rate exceeds a threshold leak rate value; 
 generate a leak presence indication for the bed system based on a determination that the leak rate exceeds the threshold leak rate value; and 
 return the leak presence indication for presentation in a graphical user interface (GUI) display at a user device. 
   
     
     
         17 . The system of  claim 16 , wherein determining, based on the pressure data, the leak rate for the bed system comprises determining a change in the pressure data over a threshold amount of time that the pressure data is collected by the at least one sensor. 
     
     
         18 . The system of  claim 16 , wherein the user device is a mobile computing device of the user of the bed system. 
     
     
         19 . The system of  claim 16 , wherein the user device is a mobile computing device of a technician setting up the bed system. 
     
     
         20 . The system of  claim 16 , wherein the user device is a computing device of a customer service agent who was requested, by the user of the bed system, to initiate a leak detection test at the bed system.

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