Model training method, air conditioner control method and device, equipment and storage medium
A control method and model training technology, applied in air handling equipment, heating/cooling equipment, transportation and packaging, etc., can solve the problems of not being able to meet the needs of different people, poor user experience, etc., and achieve the effect of guaranteeing the experience
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Embodiment 1
[0030] In order to solve the technical problem that the existing technology cannot meet the needs of different people, and cannot set customized air-conditioning control parameters according to the personal preferences of different car owners, so that the user experience is not good, the embodiment of this application provides a separate A model training method applied to a local server and an air-conditioning control method on an online server.
[0031] see figure 1 with figure 2 as shown, figure 1 It is a schematic diagram of an interaction flow between a local server, an online server and a vehicle terminal provided in the embodiment of the present application, including:
[0032]S101: The local server performs data tagging according to the historical data of each user corresponding to each parameter, and obtains tagged data of each user corresponding to each parameter and user portrait data of each user.
[0033] In the embodiment of the present application, a big data...
Embodiment 2
[0071] In this embodiment, on the basis of the first embodiment, a specific air-conditioning control process is taken as an example to further illustrate the present application.
[0072] see image 3 As shown, this embodiment includes a big data platform, a vehicle terminal, an online server and a local server.
[0073] The big data platform adopts hive, ES, spark and other technologies to collect, store and manage vehicle data, forming a data management mechanism that takes the license plate as the user identification and associates the collected data with the user identification.
[0074] In this embodiment, it is assumed that the prediction models for the three parameters of air volume, temperature, and defrosting function are configured, corresponding to image 3 Prediction Model 1, Prediction Model 2, and Prediction Model 3 in .
[0075] The local server screens the historical data corresponding to the air volume, temperature, and defrosting function from the big data ...
Embodiment 3
[0083] Based on the same inventive concept, the embodiment of the present application also provides a model training device 100 and an air conditioner control device 200 . see Figure 4 with Figure 5 as shown, Figure 4 shows the use of figure 1 In the method shown, the local server executes the steps of the model training means, Figure 5 shows the use of figure 1 In the shown method, the steps performed by the online server are the air conditioner control device. It should be understood that the specific functions of the device 100 and the device 200 may refer to the above description, and to avoid repetition, the detailed description is appropriately omitted here. The device 100 and the device 200 include at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the operating system of the device 100 and the device 200 . specifically:
[0084] see Figure 4 As shown, the apparatus 100 is applied to a l...
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