Assembly time acquisition method and processor

Abstract

The invention provides an assembly time acquisition method and a processor, wherein the method comprises the steps: processing a process text in a target process document in a text mining mode, and determining a target process type of the target process text; obtaining a target neural network model corresponding to the target process type according to the target process type of the target processtext; and inputting the time influence factors in the target process text into the corresponding target neural network model, and obtaining an assembly time output by the target neural network model and corresponding to the target process text. According to the embodiment of the invention, process-level process classification is carried out on a process document in a text mining form, the process-level time prediction model is constructed by acquiring the neural network model corresponding to the process type, and the time corresponding to the process text and the total time corresponding to the whole process document are acquired on the basis of the process-level time prediction model; the accuracy and the efficiency of time prediction are improved, and the estimation accuracy and the management efficiency of an enterprise for the time quota are further improved.

Description

technical field [0001] The invention relates to the technical field of man-hour prediction, in particular to a method and a processor for acquiring assembly man-hours. Background technique [0002] Man-hour quota refers to the time it takes to complete a product according to the prescribed workflow in a manufacturing enterprise. Man-hour quota is the production guidance for enterprise planning and personnel scheduling, the standard of management assessment and the measurement of production efficiency, and an important basis for controlling labor costs and product quotations. In the development and production of complex products such as satellites, the importance of the assembly process has become increasingly prominent. The man-hours of the satellite assembly stage are about 40% of the product development cycle, and the assembly cost exceeds 50% of the complete production cost. At present, satellite manufacturing enterprises mainly rely on manual experience to estimate man-...

AI Technical Summary

Problems solved by technology

[0004] The technical purpose to be achieved by the embodiments of the present invention is to provide a method for obtaining assembly man-hours and a processor to solve the problem of difficulty in estimating assembly man-hours of complex products such as satellites

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