SUMP PUMP SMART HOME INTEGRATION
Described methods and systems user to manually activate or engage the pump from a remote location and/or to monitor the state of the sump pump (e.g., the water level, the pump condition, pipe conditions, etc.) when located at a remote location relative to the sump pump. A sump pump system may implement sensors configured to detect motion or acceleration of a sensor disposed in water in the sump basin or disposed on a sump pump or pipe. The sump pump system may analyze data from these sensors to identify diagnostic metrics or values that are transmitted to a user's user interface device, thereby notifying a user of conditions such as a stuck impeller, a blocked pipe, a dry pumping pump, etc.
1 . A method for implementing remote monitoring of sump pump systems, the system comprising:
implementing remote control of a sump pump including a first sensor that is configured to detect water levels in a sump basin, wherein the sump pump is configured to activate and deactivate based on an output from the first sensor representing the water levels;
detecting, via a second sensor, acceleration of the second sensor and generating acceleration data representing the detected acceleration;
detecting, via a sump pump control system for the sump pump, an acceleration pattern in the acceleration data;
detecting a sump pump condition corresponding to the acceleration pattern;
generating a value for a diagnostic metric based on the sump pump condition;
transmitting the value for the diagnostic metric to a user interface device; and
displaying the diagnostic metric at the user interface device.
2 . The method of claim 1 , wherein the second sensor is an accelerometer, a gyroscope, or an inertial measurement unit (IMU).
3 . The method of claim 1 , wherein the second sensor is a force sensor.
4 . The method of claim 1 , wherein detecting the sump pump condition corresponding to the acceleration pattern comprises implementing a machine learning (ML) model trained to identify sump pump conditions based on acceleration patterns.
5 . The method of claim 1 , wherein transmitting the value for the diagnostic metric to the user interface device comprises transmitting to the user interface device a water level detected after the sump pump has been activated and deactivated.
6 . A method for implementing remote monitoring of sump pump systems, the system comprising:
implementing remote control of a sump pump including a first sensor that is configured to detect water levels in a sump basin, wherein the sump pump is configured to activate and deactivate based on an output from the first sensor representing the water levels;
detecting, via a second sensor, acceleration of the second sensor and generating acceleration data representing the detected acceleration;
detecting, via a sump pump control system for the sump pump, an acceleration pattern in the acceleration data;
detecting a sump pump condition corresponding to the acceleration pattern; and
generating a value for a diagnostic metric based on the sump pump condition.
7 . The method of claim 6 , wherein the second sensor is an accelerometer, a gyroscope, or an inertial measurement unit (IMU).
8 . The method of claim 6 , wherein the second sensor is a force sensor.
9 . The method of claim 6 , wherein detecting the sump pump condition corresponding to the acceleration pattern comprises implementing a machine learning (ML) model trained to identify sump pump conditions based on acceleration patterns.
10 . The method of claim 6 , further comprising transmitting the value for the diagnostic metric to a user interface device.
11 . The method of claim 10 , further comprising displaying the diagnostic metric at the user interface device.
12 . The method of claim 10 , wherein transmitting the value for the diagnostic metric to the user interface device comprises transmitting to the user interface device a water level detected after the sump pump has been activated and deactivated.
13 . A method for implementing remote monitoring of sump pump systems, the system comprising:
implementing remote control of a sump pump including a first sensor that is configured to detect water levels in a sump basin;
detecting, via a second sensor, acceleration of the second sensor and generating acceleration data representing the detected acceleration;
detecting, via a sump pump control system for the sump pump, an acceleration pattern in the acceleration data;
detecting a sump pump condition corresponding to the acceleration pattern; and
generating a value for a diagnostic metric based on the sump pump condition.
transmitting the value for the diagnostic metric to a user interface device; and
displaying the diagnostic metric at the user interface device.
14 . The method of claim 13 , wherein the second sensor is an accelerometer, a gyroscope, or an inertial measurement unit (IMU).
15 . The method of claim 13 , wherein the second sensor is a force sensor.
16 . The method of claim 13 , wherein detecting the sump pump condition corresponding to the acceleration pattern comprises implementing a machine learning (ML) model trained to identify sump pump conditions based on acceleration patterns.
17 . The method of claim 13 , wherein the sump pump is configured to activate and deactivate based on an output from the first sensor representing the water levels.
18 . The method of claim 13 , further comprising transmitting the value for the diagnostic metric to a user interface device.
19 . The method of claim 18 , further comprising displaying the diagnostic metric at the user interface device.
20 . The method of claim 18 , wherein transmitting the value for the diagnostic metric to the user interface device comprises transmitting to the user interface device a water level detected after the sump pump has been activated and deactivated.