Air conditioner, and operation parameter recommendation method, system, and big data server for same
Abstract:
An operation parameter recommending method includes acquiring current application scenario information of a target air conditioner, comparing the current application scenario information with an application scenario information database to select at least one matched application scenario which matches a current application scenario of the target air conditioner associated with the current application scenario information of the target air conditioner, acquiring an air conditioner operation parameter under each of the at least one matched application scenario, acquiring a group-behavior recommended parameter based on the acquired air conditioner operation parameter, acquiring historical operation records of the target air conditioner through an acquisition server, acquiring an individual-behavior recommended parameter based on the historical operation records, generating a final recommended parameter based on the group-behavior recommended parameter and the individual-behavior recommended parameter, and providing the final recommended parameter to control the target air conditioner to operate according to the final recommended parameter.
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