Automatic motor type selection method

Abstract

The invention provides an automatic motor type selection method. The method comprises the following steps: S1, establishing a cloud database for motor type selection; s2, enabling a user to input related data of a required motor and a manufacturer into an input interface of the motor type selection system; s3, determining a motor screening threshold meeting the user demand at least; s4, sending the related data calculated in the step S3 to a cloud server, comparing the related data with data stored in a cloud database, finding out a motor meeting the lowest threshold in the cloud database, sending the data back to a motor type selection system, and displaying the data by a human-computer interaction interface; and S4, after the user receives the motor data, caryring out the steps S2-S3 formultiple times according to the personalized requirements to carry out further screening until the final requirements are met. According to the invention, the cloud data is applied to the establishment of the motor database, thereby facilitating the transverse comparison of motor products of different motor manufacturers by a user, and facilitating the later management of product information by the manufacturers.

Description

technical field [0001] The invention belongs to the technical field of motor type selection software. Specifically, it is an automatic motor type selection method, which combines cloud data and computer technology and applies it to the motor selection process, and calculates the demand data input by the user to the cloud database. Screening to realize the automatic selection of motors. Background technique [0002] Due to the rapid development of e-commerce, the rapid development of my country's express delivery and logistics industry has also increased its pressure. The traditional manual sorting has been unable to keep up with the increasing number of express delivery. In order to meet the current demand for logistics flow, the intelligent sorting production line has been put into operation. production and use. The stable transportation of goods is the basic premise and guarantee of intelligent logistics. However, the existing sorting lines mostly use belt conveyors, and t...

AI Technical Summary

Problems solved by technology

The manual selection method is not only backward in means, but also has low accuracy and extremely low efficiency. It has obviously lost its competitiveness.

[0006] For the problem that the manual selection method is not only outdated but also extremely inefficient, in recent years some foreign manufacturers have developed motor selection software for their own brands, which can assist in the selection of motors of their own brand, but the selection software is only for a certain company For its own motor products, users cannot make horizontal comparisons of motor models from different manufacturers when selecting

Domestic motor selection software is still in its preliminary stage, and there are ordering platforms of some manufacturers. Customers need to communicate with the platform customer service in detail to determine the model. The communication efficiency of the third communication party between the developer and the engineer is low, and the selection efficiency is relatively low

When users choose motors, they lack a unified data platform where they can see the motor models of different motor manufacturers, which makes it particularly difficult for users to choose motors

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