Systems and methods for predicting operating conditions of a spot cooler

Abstract

Systems, methods, and other embodiments described herein relate to improving predicting conditions of a spot cooler. In one embodiment, a method includes acquiring, from at least the spot cooler, device data about operation of the spot cooler. The method includes predicting the operating condition of the spot cooler according to the device data using a model. The method includes providing the operating condition.

What is claimed is: 
     
         1 . A cooling system for improving operation of a spot cooler by predicting an operating condition, comprising:
 one or more processors;   a memory communicably coupled to the one or more processors and storing:   a control module including instructions that when executed by the one or more processors cause the one or more processors to:
 acquire, from at least the spot cooler, device data about operation of the spot cooler; 
 predict the operating condition of the spot cooler according to the device data using a model; and 
 provide the operating condition. 
   
     
     
         2 . The cooling system of  claim 1 , wherein the instructions to acquire the device data include instructions to acquire additional data as part of the device data from an additional source, wherein the additional data includes one or more of weather information, historical usage information, traffic volume, and population density information, and
 wherein the additional source is a remote source of the additional data.   
     
     
         3 . The cooling system of  claim 1 , wherein instructions to acquire the device data from the spot cooler include instructions to receive a communication from the spot cooler that is located remotely, the device data including one or more of a GPS location, a fan rotation speed, a fan indicated duty, total hours on, a fan speed, refrigerant piping temperature, room temperature, a cooling set temperature, a total time of cooling operation, a humidity, and a tank full status. 
     
     
         4 . The cooling system of  claim 1 , wherein the instructions to predict the operating condition include instructions to predict whether a tank level of a reservoir in the spot cooler has reached a threshold value that is less than full. 
     
     
         5 . The cooling system of  claim 1 , wherein the instructions to predict the operating condition include instructions to predict when a tank level of a reservoir in the spot cooler will reach full. 
     
     
         6 . The cooling system of  claim 1 , wherein the instructions to predict the operating condition include instructions to determine a load on the spot cooler according to a population density of a location of the spot cooler, and
 wherein the instructions to predict the operating condition include instructions to determine whether the spot cooler exhibits irregular usage according to a variance in times between a tank level indicating full.   
     
     
         7 . The cooling system of  claim 1 , further comprising:
 instructions to train the model using training data that includes the device data and a supervising signal indicating a tank level of a reservoir of the spot cooler.   
     
     
         8 . The cooling system of  claim 1 , wherein the spot cooler is a portable air-cooling device. 
     
     
         9 . A non-transitory computer-readable medium storing instructions for improving operation of a spot cooler by predicting an operating condition and that when executed by one or more processors cause the one or more processors to:
 acquire, from at least the spot cooler, device data about operation of the spot cooler;   predict the operating condition of the spot cooler according to the device data using a model; and   provide the operating condition.   
     
     
         10 . The non-transitory computer-readable medium of  claim 9 , wherein the instructions to acquire the device data include instructions to acquire additional data as part of the device data from an additional source, wherein the additional data includes one or more of weather information, historical usage information, traffic volume, and population density information, and
 wherein the additional source is a remote source of the additional data.   
     
     
         11 . The non-transitory computer-readable medium of  claim 9 , wherein instructions to acquire the device data from the spot cooler include instructions to receive a communication from the spot cooler that is located remotely, the device data including one or more of a GPS location, a fan rotation speed, a fan indicated duty, total hours on, a fan speed, refrigerant piping temperature, room temperature, a cooling set temperature, a total time of cooling operation, a humidity, and a tank full status. 
     
     
         12 . The non-transitory computer-readable medium of  claim 9 , wherein the instructions to predict the operating condition include instructions to predict whether a tank level of a reservoir in the spot cooler has reached a threshold value that is less than full. 
     
     
         13 . The non-transitory computer-readable medium of  claim 9 , wherein the instructions to predict the operating condition include instructions to predict when a tank level of a reservoir in the spot cooler will reach full. 
     
     
         14 . A method of improving operation of a spot cooler by predicting an operating condition, comprising:
 acquiring, from at least the spot cooler, device data about operation of the spot cooler;   predicting the operating condition of the spot cooler according to the device data using a model; and   providing the operating condition.   
     
     
         15 . The method of  claim 14 , wherein acquiring the device data includes acquiring additional data as part of the device data from an additional source, wherein the additional data includes one or more of weather information, historical usage information, traffic volume, and population density information, and
 wherein the additional source is a remote source of the additional data.   
     
     
         16 . The method of  claim 14 , wherein acquiring the device data from the spot cooler includes receiving a communication from the spot cooler that is located remotely, the device data including one or more of a GPS location, a fan rotation speed, a fan indicated duty, total hours on, a fan speed, refrigerant piping temperature, room temperature, a cooling set temperature, a total time of cooling operation, a humidity, and a tank full status. 
     
     
         17 . The method of  claim 14 , wherein predicting the operating condition includes predicting whether a tank level of a reservoir in the spot cooler has reached a threshold value that is less than full. 
     
     
         18 . The method of  claim 14 , wherein predicting the operating condition includes predicting when a tank level of a reservoir in the spot cooler will reach full. 
     
     
         19 . The method of  claim 14 , wherein predicting the operating condition includes determining a load on the spot cooler according to a population density of a location of the spot cooler, and
 wherein predicting the operating condition includes determining whether the spot cooler exhibits irregular usage according to a variance in times between a tank level indicating full.   
     
     
         20 . The method of  claim 14 , further comprising:
 training the model using training data that includes the device data and a supervising signal indicating a tank level of a reservoir of the spot cooler.