Automotive air conditioner and method and apparatus for controlling automotive air conditioner
First Claim
1. An automotive air conditioner comprising:
- an air-conditioning unit for supplying conditioned air into a vehicle;
an information acquiring unit for acquiring state information indicating a state related to said vehicle;
a storage unit for storing a plurality of pieces of said state information as respective learned data;
a learning unit, by using said learned data, for constructing a probabilistic model into which said state information is entered in order to calculate the probability of a vehicle occupant performing a specific setting operation;
a control information correcting unit for calculating said probability by entering said state information into the probabilistic model constructed by said learning unit, and for correcting setting information or control information related to the setting operation of said occupant in accordance with said calculated probability so as to achieve said specific setting operation; and
an air-conditioning control unit for controlling said air-conditioning unit in accordance with said corrected setting information or control information, whereinsaid learning unit comprises;
a clustering subunit for classifying said plurality of learned data stored in said storage unit into at least a first cluster and a second cluster, and for determining a first range for a value of said state information from the learned data included in said first cluster and a second range for the value of said state information from the learned data included in said second cluster; and
a probabilistic model constructing subunit for constructing said probabilistic model associated with said specific setting operation by determining the probability of occurrence of the value of said state information contained in said first range and the probability of occurrence of the value of said state information contained in said second range.
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Accused Products
Abstract
An automotive air conditioner includes a storage unit which stores a plurality of pieces of state information as respective learned data; a learning unit which constructs a probabilistic model; a control information correcting unit which corrects setting information, etc., related to a vehicle occupant'"'"'s setting operation in accordance with a calculated probability so as to achieve a specific setting operation; and an air-conditioning control unit which controls an air-conditioning unit in accordance with the corrected setting information, etc. The learning unit includes a clustering subunit for classifying the plurality of learned data into at least first and second clusters and for determining first and second ranges for the value of the state information from the learned data included in the respective clusters, and a probabilistic model constructing subunit for constructing the probabilistic model by determining the probabilities for the state information contained in the first and second ranges, respectively.
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Citations
16 Claims
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1. An automotive air conditioner comprising:
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an air-conditioning unit for supplying conditioned air into a vehicle; an information acquiring unit for acquiring state information indicating a state related to said vehicle; a storage unit for storing a plurality of pieces of said state information as respective learned data; a learning unit, by using said learned data, for constructing a probabilistic model into which said state information is entered in order to calculate the probability of a vehicle occupant performing a specific setting operation; a control information correcting unit for calculating said probability by entering said state information into the probabilistic model constructed by said learning unit, and for correcting setting information or control information related to the setting operation of said occupant in accordance with said calculated probability so as to achieve said specific setting operation; and an air-conditioning control unit for controlling said air-conditioning unit in accordance with said corrected setting information or control information, wherein said learning unit comprises; a clustering subunit for classifying said plurality of learned data stored in said storage unit into at least a first cluster and a second cluster, and for determining a first range for a value of said state information from the learned data included in said first cluster and a second range for the value of said state information from the learned data included in said second cluster; and a probabilistic model constructing subunit for constructing said probabilistic model associated with said specific setting operation by determining the probability of occurrence of the value of said state information contained in said first range and the probability of occurrence of the value of said state information contained in said second range. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for controlling an automotive air conditioner, said air conditioner comprising an air-conditioning unit for supplying conditioned air into a vehicle, an information acquiring unit for acquiring state information indicating a state related to said vehicle, a storage unit, a control information correcting unit for having at least one probabilistic model associated with a specific setting operation, calculating the probability of said specific operation by entering said state information into said probabilistic model, and correcting setting information or control information related to the setting operation of a vehicle occupant in accordance with said calculated probability so as to achieve said specific setting operation, and an air-conditioning control unit for controlling said air-conditioning unit in accordance with said corrected setting information or control information, the method comprising:
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storing said state information as learned information in said storage unit; selecting a plurality of learned data from said learned data stored in said storage unit; classifying said plurality of learned data stored in said storage unit into at least a first cluster and a second cluster, and determining a first range for a value of said state information from the learned data included in said first cluster and a second range for the value of said state information from the learned data included in said second cluster; and constructing said probabilistic model associated with said specific setting operation by determining the probability of occurrence of said state information contained in said first range and the probability of occurrence of said state information contained in said second range. - View Dependent Claims (12, 13, 14, 15, 16)
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Specification