SYSTEMS AND METHODS FOR DETECTING AND PREVENTING DAMAGE TO PIPES
Systems and methods are described for detecting a leak based upon home telematics data. The method may include: (1) receiving home telematics data from one or more sensors associated with one or more pipes in a structure, wherein the home telematics data is indicative of a frequency with which the one or more pipes are being used; (2) determining, using a trained machine learning algorithm, that the one or more pipes are leaking based upon at least the frequency with which the one or more pipes are being used; (3) initiating one or more preventative actions based upon the determination that the one or more pipes are leaking; and (4) generating, based upon the home telematics data, a structure damage estimate indicative of (i) the determination that the one or more pipes are leaking and (ii) the one or more preventative actions.
1 . A computer-implemented method for detecting a leak based upon home telematics data, the computer-implemented method comprising:
receiving, by one or more processors, home telematics data from one or more sensors associated with one or more pipes in a structure, wherein the home telematics data is indicative of a frequency with which the one or more pipes are being used;
determining, by the one or more processors and using a trained machine learning algorithm, that the one or more pipes are leaking based upon at least the frequency with which the one or more pipes are being used;
initiating, by the one or more processors, one or more preventative actions based upon the determination that the one or more pipes are leaking; and
generating, by the one or more processors and based upon the home telematics data, a structure damage estimate indicative of (i) the determination that the one or more pipes are leaking and (ii) the one or more preventative actions.
2 . The computer-implemented method of claim 1 , further comprising:
generating, during an initial calibration phase, a model for regular pipe activity associated with the one or more pipes;
wherein the determining that the pipe activity associated with the one or more pipes is occurring at the irregular frequency is based at least upon the model.
3 . The computer-implemented method of claim 1 , wherein the one or more sensors include at least one of: (i) vibration sensors; (ii) audio sensors, (iii) visual sensors, (iv) humidity sensors, or (v) conductivity sensors.
4 . The computer-implemented method of claim 3 , wherein the one or more sensors include at least the visual sensors, and determining that the one or more pipes are leaking includes:
detecting a presence of one or more visual indicators, wherein the one or more visual indicators are indicative of dripping water.
5 . The computer-implemented method of claim 3 , wherein the one or more sensors include at least the audio sensors, and determining that the one or more pipes are leaking includes:
detecting a presence of one or more audio indicators, wherein the one or more audio indicators are indicative of dripping water.
6 . The computer-implemented method of claim 1 , wherein the one or more preventative actions includes activating a water shut off valve associated with the one or more pipes.
7 . The computer-implemented method of claim 1 , further comprising:
transmitting an indication of the determination that the one or more pipes are leaking to a user associated with the structure, wherein the indication includes the structure damage estimate.
8 . A computing device for detecting a leak based upon home telematics data, the computing device comprising:
one or more processors;
a communication unit; and
a non-transitory computer-readable medium coupled to the one or more processors and the communication unit and storing instructions thereon that, when executed by the one or more processors, cause the computing device to:
receive home telematics data from one or more sensors associated with one or more pipes in a structure, wherein the home telematics data is indicative of a frequency with which the one or more pipes are being used;
determine, using a trained machine learning algorithm, that the one or more pipes are leaking based upon at least the frequency with which the one or more pipes are being used;
initiate one or more preventative actions based upon the determination that the one or more pipes are leaking; and
generate, based upon the home telematics data, a structure damage estimate indicative of (i) the determination that the one or more pipes are leaking and (ii) the one or more preventative actions.
9 . The computing device of claim 8 , wherein the non-transitory computer-readable medium further include instructions that, when executed by the one or more processors, cause the computing device to:
generate, during an initial calibration phase, a model for regular pipe activity associated with the one or more pipes;
wherein determining that the pipe activity associated with the one or more pipes is occurring at the irregular frequency is based at least upon the model.
10 . The computing device of claim 8 , wherein the one or more sensors include at least one of: (i) vibration sensors; (ii) audio sensors, (iii) visual sensors, (iv) humidity sensors, or (v) conductivity sensors.
11 . The computing device of claim 10 , wherein the one or more sensors include at least the visual sensors, and determining that the one or more pipes are leaking includes:
detecting a presence of one or more visual indicators, wherein the one or more visual indicators are indicative of dripping water.
12 . The computing device of claim 10 , wherein the one or more sensors include at least the audio sensors, and determining that the one or more pipes are leaking includes:
detecting a presence of one or more audio indicators, wherein the one or more audio indicators are indicative of dripping water.
13 . The computing device of claim 8 , wherein the one or more preventative actions includes activating a water shut off valve associated with the one or more pipes.
14 . The computing device of claim 8 , wherein the non-transitory computer-readable medium further include instructions that, when executed by the one or more processors, cause the computing device to:
transmit an indication of the determination that the one or more pipes are leaking to a user associated with the structure, wherein the indication includes the structure damage estimate.
15 . A tangible, non-transitory computer-readable medium storing instructions for detecting a leak based upon home telematics data that, when executed by one or more processors of a computing device, cause the computing device to:
receive home telematics data from one or more sensors associated with one or more pipes in a structure, wherein the home telematics data is indicative of a frequency with which the one or more pipes are being used;
determine, using a trained machine learning model, that the one or more pipes are leaking based upon at least the frequency with which the one or more pipes are being used;
initiate one or more preventative actions based upon the determination that the one or more pipes are leaking; and
generate, based upon the home telematics data, a structure damage estimate indicative of (i) the determination that the one or more pipes are leaking and (ii) the one or more preventative actions.
16 . The tangible, non-transitory computer-readable medium of claim 15 , wherein the tangible, non-transitory computer-readable medium further includes instructions that, when executed by the one or more processors, cause the computing device to:
generate, during an initial calibration phase, a model for regular pipe activity associated with the one or more pipes;
wherein determining that the pipe activity associated with the one or more pipes is occurring at the irregular frequency is based at least upon the model.
17 . The tangible, non-transitory computer-readable medium of claim 15 , wherein the one or more sensors include at least one of: (i) vibration sensors; (ii) audio sensors, (iii) visual sensors, (iv) humidity sensors, or (v) conductivity sensors.
18 . The tangible, non-transitory computer-readable medium of claim 17 , wherein the one or more sensors include at least the visual sensors, and determining that the one or more pipes are leaking includes:
detecting a presence of one or more visual indicators, wherein the one or more visual indicators are indicative of dripping water.
19 . The tangible, non-transitory computer-readable medium of claim 18 , wherein the one or more sensors include at least the audio sensors, and determining that the one or more pipes are leaking includes:
detecting a presence of one or more audio indicators, wherein the one or more audio indicators are indicative of dripping water.
20 . The tangible, non-transitory computer-readable medium of claim 18 , wherein the one or more preventative actions includes activating a water shut off valve associated with the one or more pipes.