Systems and methods for detecting and preventing damage to pipes

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 and occupancy data associated with at least part of the 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, pipe activity associated with the one or more pipes is occurring at an irregular frequency based upon at least the frequency and the occupancy data;
• determine, based upon at least the determination that the pipe activity associated with the one or more pipes is occurring at the irregular frequency, that the one or more pipes are leaking;
• and
• perform, based upon the occupancy data, at least one of:
• initiating one or more preventative actions when the occupancy data indicates a user associated with the structure is not present at the structure, or
• transmitting an indication to the user associated with the structure that the one or more pipes are leaking when the occupancy data indicates the user is present at the structure.

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 and occupancy data associated with at least part of the 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, pipe activity associated with the one or more pipes is occurring at an irregular frequency based upon at least the frequency and the occupancy data;
• determine, based upon at least the determination that the pipe activity associated with the one or more pipes is occurring at the irregular frequency, that the one or more pipes are leaking;
• and
• perform, based upon the occupancy data, at least one of:
• initiating one or more preventative actions when the occupancy data indicates a user associated with the structure is not present at the structure, or
• transmitting an indication to the user associated with the structure that the one or more pipes are leaking when the occupancy data indicates the user is present at the structure.