Module machine type selection method and device, computer equipment and storage medium

Abstract

The invention relates to a module machine type selection method and device, computer equipment and a storage medium. The method comprises the steps: responding to a model selection instruction, and displaying a model selection operation interface; obtaining target working condition parameters and actual operation data input in the model selection operation interface; determining a corresponding standard module machine type according to the target working condition parameters; according to the target working condition parameters and the actual operation data, controlling the model of the standard module machine to perform simulation operation, and generating corresponding performance parameters; displaying the model of the standard module machine and the corresponding performance parameters on a display panel; and obtaining the model of a target module machine selected from the standard module machine types, and displaying the model of the target module machine. By adopting the method, a user or a worker does not need to directly perform model selection according to personal experience, model selection failure caused by insufficient personal experience or errors can be avoided, the trial and error cost is reduced, and the model selection accuracy of module machine model selection is improved.

Description

technical field [0001] The present application relates to the technical field of air conditioners, in particular to a method, device, computer equipment and storage medium for selecting a modular machine. Background technique [0002] With the development of air conditioner technology and different actual application environments, modular unit technology has emerged. Among them, modular unit refers to units that can be freely combined, spliced, increased or decreased according to the required load size, and have different models. On the basis of cooling only and heat pump, in order to meet the normal use in different practical application environments and meet the different needs in corresponding environments, more and more types of modular machines have been developed. [0003] Traditionally, the personal experience of staff or engineers is often used for model selection, and the corresponding model of module machine is recommended to users with purchase intentions. Howeve...

AI Technical Summary

Problems solved by technology

However, due to the sharp increase in the model of the module machine, it is increasingly time-consuming and labor-intensive to use personal experience to select models, and when the wrong type is selected due to lack of personal experience or mistakes, the module machine will be damaged, so the cost of trial and error is relatively low. higher

[0004] Therefore, the traditional method of selecting the module machine based on personal experience, due to lack of personal experience or mistakes, the accuracy of the selection is still relatively low

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