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Filter debugging method and device, electronic equipment and readable memory medium

A debugging method and filter technology, applied in the field of reinforcement learning, can solve the problems of high labor cost and time cost, low filter debugging efficiency, etc.

Active Publication Date: 2020-10-20
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the advent of the 5G communication era, the demand for filters (such as ceramic dielectric filters) is increasing rapidly. In the production process of filters, in order to ensure the performance of the filters, each filter needs repeated debugging by skilled workers. Need to consume high labor cost and time cost, which leads to low filter debugging efficiency

Method used

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  • Filter debugging method and device, electronic equipment and readable memory medium
  • Filter debugging method and device, electronic equipment and readable memory medium
  • Filter debugging method and device, electronic equipment and readable memory medium

Examples

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no. 1 example

[0030] Such as figure 1 As shown, the present application provides a filter debugging method, including the following steps:

[0031] Step S1: Input the current hole parameters and index values ​​of the filter into the pre-trained policy network;

[0032] Step S2: The policy network determines the target hole to be polished of the filter according to the current hole parameters and index values ​​of the filter;

[0033] Step S3: controlling the mechanical arm to polish the target hole of the filter;

[0034] Step S4: According to the index value of the polished filter, judge whether the filter is qualified, if the filter is qualified, then end; if the filter is not qualified, execute the steps S1 to all Repeat step S4 until the filter is qualified.

[0035] In this application, the filter may include a ceramic dielectric filter or other filters. The aperture parameters of the filter may include aperture depth and aperture, and the filter index may include at least one of c...

no. 2 example

[0076] Such as Figure 5 As shown, the present application provides a filter debugging device 300, including an input module 301, a control module 302, a judgment module 303 and a pre-trained policy network 304;

[0077] The input module 301 is used to input the current hole parameters and index values ​​of the filter into the strategy network 304;

[0078] The strategy network 304 is used to determine the target hole to be polished of the filter according to the current hole parameters and index values ​​of the filter;

[0079] The control module 302 is used to control the mechanical arm to grind the target hole of the filter;

[0080] The judging module 303 is used to judge whether the filter is qualified according to the index value of the filter after polishing, if the filter is qualified, then end; if the filter is unqualified, trigger the input module 301, strategy Network 304 and control module 302 process until the filter is qualified.

[0081] Optionally, the input...

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Abstract

The invention discloses a filter debugging method and device, electronic equipment and a readable memory medium and relates to the technical field of filter intelligent debugging and deep learning. The filter debugging method comprises the steps that 1, a current hole parameter and an index value of a filter are input into a strategy network which is trained in advance; 2, the strategy network determines a to-be-ground target hole of the filter according to the current hole parameter and the index value of the filter; 3, a mechanical arm is controlled to grind the target hole of the filter; and 4, according to a index value, obtained after grinding, of the filter, whether the filter is qualified or not is judged, if the filter is qualified, the process is ended; and if the filter is not qualified, the steps from 1 to 4 are implemented circularly till the filter is qualified. By means of the filter debugging method, intelligent debugging of the filter is achieved; manual work is replaced for debugging the filter; the filter debugging efficiency is improved; and problems existing in the prior art are solved.

Description

technical field [0001] The present application relates to reinforcement learning technology, in particular to the technical field of filter intelligent debugging, and in particular to a filter debugging method, device, electronic equipment and readable storage medium. Background technique [0002] With the advent of the 5G communication era, the demand for filters (such as ceramic dielectric filters) is increasing rapidly. In the production process of filters, in order to ensure the performance of the filters, each filter needs repeated debugging by skilled workers. High labor cost and time cost are required, which leads to low filter debugging efficiency. Contents of the invention [0003] The present application provides a filter debugging method, device, electronic equipment and readable storage medium. [0004] According to the first aspect, the present application provides a filter debugging method, including: [0005] Step S1: Input the current hole parameters and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B24B5/48G06F30/27
CPCB24B5/48G06F30/27G06F30/17H01P11/007G06F30/367G06F30/373H04L41/16H04L43/028H04W84/02
Inventor 许铭解鑫刘颖齐月震李瑞锋白璐
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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