Detecting and utilizing water vibrations in sump pump system control
A sump pump system may detect and utilize motion or acceleration of water in sump basins when implementing control of sump pumps. To detect the motion or acceleration, the sump pump system may utilize a sensor that is configured to detect motion or acceleration, such as an accelerometer or gyroscope. The sump pump system may identify a water level in a sump basin based on the detected motion or acceleration, which may be compared to a reading or expected signal from the sump pump system's “typical” sensor (e.g., float switch) that is used to detect one or more water levels. In this manner, the sump pump system may detect a malfunctioning level sensor that is used by the pump to detect high-water and low-water marks at which the sump pump activates and deactivates, respectively.
1. A system for detecting and utilizing motion of water in sump basins when implementing control of sump pumps, the system comprising:
a sump pump disposed in a sump basin and configured to pump water out of the sump basin via an outlet pipe, the 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 detected water levels;
a second sensor that is configured to be disposed on or within water in the sump basin and that is configured to detect acceleration;
a sump pump control system communicatively coupled to the sump pump and the second sensor, wherein the sump pump control system is configured to:
detect, via the second sensor, acceleration data representing detected acceleration of the second sensor;
analyze the acceleration data to estimate a water level that is indicative of a potential fault in the first sensor, wherein estimating the water level includes
detecting within the acceleration data, a ripple pattern and comparing the detected ripple pattern to at least one known ripple pattern associated with a sump pump condition, and
determining within the acceleration data, based on the comparing, a transition from a first ripple pattern indicative of an inlet pipe being above the water level to a second ripple pattern indicative of the inlet pipe being at least partially submerged below the water level; and
in response to the determining, activate the sump pump.
2. The system of claim 1 , wherein the sump pump control system is further configured to analyze the acceleration data to estimate a water level that is indicative of a potential fault in the first sensor in a manner that comprises:
analyzing the acceleration data to determine water has been moving in the sump basin in a manner consistent with water flowing into the sump basin for a period of time exceeding a threshold length of time.
3. The system of claim 1 , wherein
the known ripple patterns are stored to system memory.
4. The system of claim 1 , wherein the first sensor is a point level sensor including a switch connected to a float, wherein the switch energizes when the float reaches a high-water mark and deenergizes when the float reaches a low-water mark.
5. The system of claim 1 , wherein the first sensor is a capacitance sensor.
6. The system of claim 1 , wherein the first sensor is an ultrasonic sensor or a radar sensor.
7. The system of claim 1 , wherein the sump pump control system is further configured to:
detect second acceleration data after the sump pump has been activated;
estimate that the water level has dropped below a threshold level based on an analysis of the second acceleration data; and
in response to estimating that the water level has dropped below a threshold level, deactivating the sump pump.
8. The system of claim 1 , wherein the sump pump control system is further configured to generate an alarm, configured to be audible at the sump basin, to indicate to a user that water is backflowing into the sump basin.
9. The system of claim 1 , wherein the sump pump control system is further configured to transmit a message to a smart home system to cause the smart home system to activate an alarm at an electronic user interface device associated with a user.
10. The system of claim 1 , wherein the sump pump control system is further configured to analyze the acceleration data to estimate a water level that is indicative of a potential fault in the first sensor in a manner that comprises implementing machine learning techniques.
11. A method for detecting and utilizing motion of water in sump basins when implementing control of sump pumps, the method comprising:
implementing 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 that is configured to be disposed on or within water in the sump basin, acceleration of the second sensor and generating acceleration data representing the detected acceleration;
analyzing the acceleration data to estimate a water level that is indicative of a potential fault in the first sensor, wherein estimating the water level includes
detecting within the acceleration data, a ripple pattern and comparing the detected ripple pattern to at least one known ripple pattern associated with a sump pump condition, and
determining within the acceleration data, based on the comparing, a transition from a first ripple pattern indicative of an inlet pipe being above the water level to a second ripple pattern indicative of the inlet pipe being at least partially submerged below the water level; and
in response to the determining, activating the sump pump.
12. The method of claim 11 , wherein analyzing the acceleration data to estimate a water level that is indicative of a potential fault in the first sensor further comprises: analyzing the acceleration data to determine water has been moving in the sump basin in a manner consistent with water flowing into the sump basin for a period of time exceeding a threshold length of time.
13. The method of claim 11 , wherein
the known ripple patterns are stored to memory.
14. The method of claim 11 , wherein the first sensor is a point level sensor including a switch connected to a float, wherein the switch energizes when the float reaches a high-water mark and deenergizes when the float reaches a low-water mark.
15. The method of claim 11 , wherein the first sensor is a capacitance sensor.
16. The method of claim 11 , wherein the first sensor is an ultrasonic sensor or a radar sensor.
17. The method of claim 11 , further comprising:
analyzing the output from the second sensor, after activating the pump, to identify second acceleration data;
estimating that the water level has dropped below a threshold level based on an analysis of the second acceleration data; and
in response to estimating the water level has dropped below a threshold level, deactivating the sump pump.
18. The method of claim 11 , further comprising generating an alarm, configured to be audible at the sump basin, to indicate to a user that water is backflowing into the sump basin.
19. The method of claim 11 , further comprising transmitting a message to a smart home system to cause the smart home system to activate an alarm at an electronic user interface device associated with a user.
20. The method of claim 11 , wherein analyzing the acceleration data to estimate a water level that is indicative of a potential fault in the first sensor comprises implementing machine learning techniques.