Air conditioning control system

Abstract

An air conditioning control system for controlling an air conditioner specifies a condition in an environment, detects a state amount representing the environment, infers a control method for the air conditioner in the environment based on the state amount that is detected, and controls the air conditioner based on the control method that is inferred. Further, the air conditioning control system generates or updates a plurality of learning models through machine learning using the state amount that is detected and stores the plurality of learning models in a manner such that they are associated with combinations of conditions in the environment.

1 . An air conditioning control system that controls an air conditioner in an environment in which at least one machine is installed, the air conditioning control system comprising:
 a condition specification unit that specifies a condition in the environment;   a state amount detection unit that detects a state amount representing a state of the environment;   an inference calculation unit that infers a control method for the air conditioner in the environment based on the state amount;   an air conditioning control unit that controls the air conditioner based on the control method that is inferred by the inference calculation unit;   a learning model generation unit that generates or updates a learning model through machine learning using the state amount; and   a learning model storage unit that stores one or more learning models generated by the learning model generation unit in a manner such that the one or more learning model are associated with a combination of conditions specified by the condition specification unit, wherein   the inference calculation unit calculates a control method for the air conditioner in the environment managed by the air conditioning control system, by selectively using one or more learning models among learning models stored in the learning model storage unit, based on the condition in the environment that is specified by the condition specification unit.   
     
     
         2 . The air conditioning control system according to  claim 1 , further comprising:
 a feature amount creation unit that creates a feature amount characterizing the environment based on the state amount detected by the state amount detection unit, wherein   the inference calculation unit infers a control method for the air conditioner in the environment based on the feature amount, and   the learning model generation unit generates or updates learning model through machine learning using the feature amount.   
     
     
         3 . The air conditioning control system according to  claim 1 , wherein the learning model generation unit alters an existing learning model stored in the learning model storage unit so as to generate a new learning model. 
     
     
         4 . The air conditioning control system according to  claim 1 , wherein the learning model storage unit encrypts and stores a learning model generated by the learning model generation unit, and decrypts the encrypted learning model when the learning model encrypted is read by the inference calculation unit. 
     
     
         5 . An air conditioning control system that controls an air conditioner in an environment in which one or more machines are installed the air conditioning control system comprising:
 a condition specification unit that specifies a condition in the environment;   a state amount detection unit that detects a state amount representing the environment;   an inference calculation unit that infers a control method for the air conditioner in the environment based on the state amount;   an air conditioning control unit that controls the air conditioner based on the control method that is inferred by the inference calculation unit; and   a learning model storage unit that stores at least one learning model that is preliminarily associated with a combination of conditions in the environment, wherein   the inference calculation unit calculates a control method for the air conditioner in the environment by selectively using one or more learning models among the learning models stored in the learning model storage unit, based on the condition in the environment that is specified by the condition specification unit   
     
     
         6 . The air conditioning control system according to  claim 5 , further comprising:
 a feature amount creation unit that creates a feature amount characterizing the environment based on the state amount, wherein   the inference calculation unit infers, based on the feature amount, a control method for the air conditioner in the environment managed by the air conditioning control system.   
     
     
         7 . An air conditioning controller comprising:
 the condition specification unit according to  claim 1 ; and   the state amount detection unit according to  claim 1 .   
     
     
         8 . An air conditioning controller comprising:
 the condition specification unit according to  claim 5 ; and   the state amount detection unit according to  claim 5     
     
     
         9 . An air conditioning control method comprising:
 a step for specifying a condition for controlling an air conditioner in an environment in which one or more machines are installed;   a step for detecting a state amount representing the environment;   a step for inferring a control method for the air conditioner in the environment based on the state amount;   a step for controlling the air conditioner based on the control method; and   a step for generating or updating a learning model through machine learning using the state amount, wherein   in the step for inferring, a learning model to be used based on the condition in the environment that is specified in the step for specifying is selected from the one or more learning models that are preliminarily associated with a combination of conditions in the environment, and a control method for the air conditioner in the environment is calculated using the learning model that is selected.   
     
     
         10 . The air conditioning control method according to  claim 9 , further comprising:
 a step for creating a feature amount characterizing the environment based on the state amount, wherein   in the step for inferring, a control method for the air conditioner in the environment is inferred based on the feature amount, and   in the step for generating or updating a learning model, a learning model is generated or updated through machine learning using the feature amount.   
     
     
         11 . An air conditioning control method comprising:
 a step for specifying a condition for controlling an air conditioner in an environment in which one or more machines are installed;   a step for detecting a state amount representing the environment;   a step for inferring a control method for the air conditioner in the environment based on the state amount; and   a step for controlling the conditioner based on the control method, wherein   in the step for inferring, a learning model to be used based on the condition in the environment that is specified in the step for specifying is selected from one or more learning models that are preliminarily associated with a combination of conditions in the environment, and a control method for the air conditioner in the environment is calculated using the learning model that is selected.   
     
     
         12 . The air conditioning control method according to  claim 11 , further comprising:
 a step for creating a feature amount characterizing the environment based on the state amount, wherein   in the step for inferring, a control method for the air conditioner in the environment is inferred based on the feature amount.   
     
     
         13 . A learning model set comprising:
 a plurality of learning models each of which is associated with a combination of conditions for controlling an air conditioner in an environment in which one or more machines are installed, wherein   each of the plurality of learning models is a learning model generated or updated, in a condition in the environment, based on a state amount representing the environment, and   one learning model is selected from the plurality of learning models based on a condition set in an environment, and   
       the learning model that is selected is used for processing of inferring a control method for the air conditioner in the environment.