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Multi-target model updating method for optimizing operation of coaxial cable sheath machine

A multi-objective model and coaxial cable technology, applied in neural learning methods, biological neural network models, electrical digital data processing, etc., can solve the problems of not being able to use learning results, shortening the computational workload and time of model updates, etc.

Active Publication Date: 2015-07-22
HANGZHOU FUTONG ELECTRIC WIRE & CABLE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method overcomes the shortcomings of completely abandoning the existing model in the general model update method and cannot use the learning results of the existing model, makes full use of the learning results of the existing model, and greatly reduces the computational workload and time of model updating

Method used

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Experimental program
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Embodiment Construction

[0022] The implementation of the present invention is described in detail below:

[0023] A multi-objective model update method for optimal operation of a coaxial cable sheathing machine, comprising the following steps:

[0024] (1). When a given coaxial cable sheathing machine needs to use new production materials (not included in the original model) due to production, the production operation of the coaxial cable sheathing machine is collected for the production materials of the sheath Parameters and related indicators that characterize the production quality of coaxial cable sheaths are consistent with the original model, and a database is established. The specific production and operation parameters of the coaxial cable sheathing machine are obtained through the operation of the numerical control system of the coaxial cable sheathing machine, or directly collected through instrument measurement.

[0025] The production operation parameter data of described coaxial cable s...

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Abstract

The invention relates to a multi-target model updating method for optimizing operation of a coaxial cable sheath machine. The traditional coaxial cable sheath machine is operated mainly by means of experiences of working personnel. The method is used for updating in terms of two situations, to be specific, when a new coaxial cable sheath material is adopted, production and operation data and product quality data of the new material are subjected to multi-target modeling to form a model, and the model is combined into an original model to form a new model; and when the model prediction error of certain production material in the model exceeds an allowable error range, a new multi-target model is established by using the data which exceeds the allowable error range, then an optimal combination proportion coefficient between the new model and the original multi-target model is searched by using the new data and an optimization algorithm, and the new model and the existing model are combined together to jointly predict and optimize a new production state so as to realize updating. The multi-target model updating model disclosed by the invention has the advantages of sufficiently utilizing the learning result of the existing model without the need of giving up the existing module and shortening the calculation workload and time of updating the model.

Description

technical field [0001] The invention belongs to the technical field of information and control, and relates to a multi-objective model update method for optimal operation of a coaxial cable sheathing machine. Background technique [0002] The optimized operation of the coaxial cable sheathing machine is an important technical means to ensure the quality of the coaxial cable sheath. Its goal is to adjust the feeding speed, core wire speed, and High-efficiency and high-quality operating conditions can be obtained by controlling production operating parameters such as temperature. The collocation of production operation parameters such as the sheath material used in the coaxial cable sheathing machine, the temperature in the production process, and the speed at which the core wire passes through the sheathing machine has a direct impact on the quality of the coaxial cable sheath. Different sheath materials , The configuration of production operation parameters such as temperat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N3/08
Inventor 王春林
Owner HANGZHOU FUTONG ELECTRIC WIRE & CABLE