System for abnormal condition detection using nearest neighbor
One embodiment provides a method, including: receiving, from at least one sensor operatively coupled to a mechanical device, sensor data corresponding to a function of the mechanical device; accessing, from an environmental database, information regarding at least one environmental condition in proximity to a geographical location of the mechanical device; generating, using a processor, a correlative value for the mechanical device, wherein the correlative value identifies a correlation between the sensor data corresponding to a function of the mechanical device and the at least one environmental condition; assigning the correlative value as a baseline correlative value to the mechanical device; monitoring the sensor data corresponding to a function of the mechanical device and the at least one environmental condition and updating the correlative value; identifying, using a processor, the correlative value for the mechanical device has exceeded a predetermined threshold as compared to the baseline correlative value; and notifying a user that the correlative value for the mechanical device has exceeded the predetermined threshold. Other aspects are described and claimed.
1. A method comprising:
receiving, by processing circuitry operatively coupled to a memory, first sensor data comprising device conditions of a target mechanical device,
wherein the first sensor data comprises an electrical current draw of the target mechanical device;
receiving, by the processing circuitry, second sensor data comprising environmental conditions of the target mechanical device;
retrieving, from a database, data for a plurality of mechanical devices, wherein each mechanical device of the plurality of mechanical devices in the database is associated with one or more device characteristics, respective operating parameters, and respective environmental conditions;
identifying, from the plurality of mechanical devices, a subset of devices that have similar device characteristics and similar environmental conditions to the target mechanical device, wherein the subset of devices is in a different location than the target mechanical device;
determining, by the processing circuitry, expected operating parameters for the target mechanical device based on the operating parameters of the subset of devices;
comparing, by the processing circuitry, the first sensor data with the expected operating parameters for the target mechanical device and comparing the second sensor data with environmental conditions associated with a respective device of the subset of devices;
determining, by the processing circuitry, whether the target mechanical device is functioning outside the expected operating parameters using the comparison; and
in response to determining that the target mechanical device is functioning outside the expected operating parameters, sending, by the processing circuitry over a network, an electronic message configured to be received by an external computing device connected in communication with the processing circuitry via the network that the target mechanical device is functioning outside the expected parameters,
wherein the electronic message includes at least one of a cause of the functioning outside the expected operating parameters or an estimated time to failure for the target mechanical device.
2. The method of claim 1 , wherein the device characteristics comprise one or more of: a type of device, a manufacturer, a model, a location, a flow rate, a normal operating electrical current draw, and an operating temperature.
3. The method of claim 2 , wherein the database comprises environmental conditions germane to the location, where the environmental conditions comprise one or more of: a climate type, a terrain type, a water table level, outside air temperature, outside humidity, and weather conditions.
4. The method of claim 1 , wherein the database is stored at the memory.
5. The method of claim 1 , wherein the similar device characteristics of the subset of devices exactly match device characteristics of the target mechanical device.
6. The method of claim 1 , wherein determining, by the processing circuitry, the expected operating parameters for the target mechanical device is further based on previously stored historical data and information.
7. The method of claim 1 , wherein the target mechanical device is in a different location from each device of the subset of devices.
8. The method of claim 1 , wherein identifying the subset of devices further comprises comparing a first correlative value for the target mechanical device to at least a second correlative value for each mechanical device of the plurality of mechanical devices in the database.
9. The method of claim 8 , wherein the first correlative value for the target mechanical device identifies a correlation between the second sensor data and the environmental conditions.
10. The method of claim 1 , wherein the respective operating parameters comprise one or more of:
a mechanical parameter, which includes one or more of:
flow rate, valve position, pump rate, device temperature, pressure, outflow value;
an operating environment parameter, which includes one or more of:
water table level, sump pit water level, temperature, humidity, rainfall amount, and other weather conditions; and
an electrical parameter, which includes one or more of:
electrical current draw, voltage magnitude, cycle time.
11. The method of claim 1 , wherein identifying, by the processing circuitry, from the database, the subset of devices for the target mechanical device, comprises ranking the one or more device characteristics for the plurality of mechanical devices in the database for comparison to target mechanical device.
12. A system comprising:
an external computing device comprising first processing circuitry coupled to a first memory, wherein the external computing device is configured to:
store a database comprising data for a plurality of mechanical devices;
identify, from the plurality of mechanical devices, a subset of devices that have similar device characteristics and similar environmental conditions to a target mechanical device,
wherein the subset of devices is located in a location different than the target mechanical device; and
determine expected operating parameters for the target mechanical device based on the operating parameters of the subset of devices;
an information handling device comprising:
second processing circuitry;
a second memory operatively coupled to the second processing circuitry;
one or more sensors operatively coupled to the second processing circuitry and configured to receive:
first sensor data comprising device conditions of the target mechanical device,
wherein the first sensor data comprises an electrical current draw of the target mechanical device; and
second sensor data comprising environmental conditions of the target mechanical device,
wherein the second processing circuitry is configured to:
receive the expected operating parameters for the target mechanical device;
compare the first sensor data with the expected operating parameters for the target mechanical device and comparing the second sensor data with environmental conditions associated with a respective device of the subset of devices;
determine whether the target mechanical device is functioning outside the expected operating parameters based on the first sensor data and the second sensor data; and
in response to the determination that the target mechanical device is functioning outside the expected operating parameters, send an electronic message that the target mechanical device is functioning outside the expected parameters,
wherein the electronic message includes at least one of a cause of the functioning outside the expected operating parameters or an estimated time to failure for the target mechanical device.
13. The system of claim 12 , wherein the device characteristics comprise one or more of: a type of device, a manufacturer, a model, a location, a flow rate, a normal operating electrical current draw, and an operating temperature.
14. The system of claim 13 , wherein the database further comprises environmental conditions germane to the location, where the environmental conditions comprise one or more of: a climate type, a terrain type, a water table level, outside air temperature, outside humidity, and weather conditions.
15. The system of claim 12 wherein the respective operating parameters comprise one or more of:
a mechanical parameter, which includes one or more of: flow rate, valve position, pump rate, device temperature, pressure, outflow value;
an operating environment parameter, which includes one or more of: water table level, sump pit water level, temperature, humidity, rainfall amount, and other weather conditions; and
an electrical parameter, which includes one or more of: electrical current draw, voltage magnitude, cycle time.
16. The system of claim 12 , wherein the external computing device is a first external computing device, the system further comprising a second external computing device, wherein the second electronic device is configured to receive the electronic message.
17. The system of claim 12 , wherein the information handling device further comprises a rechargeable battery.
18. The system of claim 12 , wherein determining, by the processing circuitry, the expected operating parameters for the target mechanical device is further based on previously stored historical data and information.
19. The system of claim 12 , wherein identifying the subset of devices further comprises comparing a first correlative value for the target mechanical device to at least a second correlative value for each mechanical device of the plurality of mechanical devices in the database.
20. The system of claim 12 , wherein identifying, by the processing circuitry, from the database, the subset of devices for the target mechanical device, comprises ranking the one or more device characteristics for the plurality of mechanical devices in the database for comparison to target mechanical device.