Control system for collecting sensor and device pairing data

A computer-implemented method for detecting utility usage using sensor and device pairing data, the method implemented by a control system including a server computing device having a first memory and a first processor, and a control hub physically located at a property, the control hub including a second memory and a second processor, the method comprising:

• communicatively coupling the control hub to the server computing device, to a distributed network of telematics devices physically located at the property, and to at least one wireless communication device physically located at the property, each telematics device including a respective utility sensor and configured to collect sensor data representing utility consumption and including timestamps associated with the utility consumption, the at least one wireless communication device configured to collect wireless pairing data including timestamps associated with wireless pairing of the wireless communication device with any user computing device;
• continuously receiving, by the control hub from the distributed network of telematics devices, sensor data;
• continuously receiving, by the control hub from the wireless communication device, wireless pairing data;
• periodically transmitting, by the control hub to the server computing device, the sensor data and wireless pairing data;
• generating, by the server computing device by processing the received sensor data and wireless pairing data using trained machine learning functionality stored within the first memory, a presence profile for each user computing device, the presence profile representing physical presence of a corresponding user of the respective user computing device at the property;
• identifying, by the server computing device in the received sensor data and wireless pairing data, a presence anomaly;
• in response to identifying the presence anomaly, transmitting, by the server computing device, a confirmation request to at least one of the user computing devices;
• updating, by the server computing device, the presence profile for each property user computing device using the trained machine learning functionality and a response to the confirmation request;
• and
• causing to be displayed, by the server computing device within a graphical user interface of an application executed on each respective user computing device, a respective portion of the overall utility usage associated with the presence profile of that user computing device.

At least one non-transitory computer-readable storage medium having computer-executable instructions embodied thereon, wherein, when executed by a first processor of a server computing device and a second processor of a control hub physically located at a property, the control hub in communication with the server computing device, with a distributed network of telematics devices physically located at the property, and with at least one wireless communication device physically located at the property, each telematics device including a respective utility sensor and configured to collect sensor data representing utility consumption and including timestamps associated with the utility consumption, the at least one wireless communication device configured to collect wireless pairing data including timestamps associated with wireless pairing of the wireless communication device with any user computing device, the computer-executable instructions cause the first and second processors to:

• continuously receive, by the second processor from the distributed network of telematics devices, sensor data;
• continuously receive, by the second processor from the wireless communication device, wireless pairing data;
• periodically transmit, by the second processor to the server computing device, the sensor data and wireless pairing data;
• generate, by the first processor by processing the received sensor data and wireless pairing data using trained machine learning functionality stored within the first memory, a presence profile for each user computing device, the presence profile representing physical presence of a corresponding user of the respective user computing device at the property;
• identify, by the first processor in the received sensor data and wireless pairing data, a presence anomaly;
• in response to identifying the presence anomaly, transmit, by the first processor, a confirmation request to at least one of the user computing devices;
• update, by the first processor, the presence profile for each property user computing device using the trained machine learning functionality and a response to the confirmation request;
• and
• cause to be displayed, by the first processor within a graphical user interface of an application executed on each respective user computing device, a respective portion of the overall utility usage associated with the presence profile of that user computing device.