GB/T 36404-2018 in English

VALID

On-line detection for spot faults of flat glass

Issued on:2018-06-07
Implemented on:2019-05-01
File Format:PDF
Delivery:Via email within 1~3 business days

Price(USD)： $80.00
$78.00

Standard No:	GB/T 36404-2018
Document status:	VALID
Title in English:	On-line detection for spot faults of flat glass
Title in Chinese:	平板玻璃点状缺陷在线检测
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2018-06-07
Implemented on:	2019-05-01
ICS Classification:	81.040.10-Raw materials and raw glass
Chinese Classification:	Q33-Building glass
Professional Classification:	GB-National Standard
Related Keywords:	flat glass defects flat glass flat glass introduction gb/t flat glass production technology defect detection rate
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《GB/T 36404-2018平板玻璃点状缺陷在线检测》由TC255（全国建筑用玻璃标准化技术委员会）归口，主管部门为中国建筑材料联合会。

Introduction

GB/T 36404—2018 Standard Overview

GB/T 36404—2018 "Online Detection of Point Defects in Flat Glass" is a technical specification for the online real-time automatic detection method of point defects in the production of flat glass by float process. The standard aims to improve product quality control capabilities and ensure that there are no defects such as bubbles and inclusions on the glass surface.

Background of Standard Formulation and Technological Evolution

With the continuous development of flat glass production technology, especially the application of float process, the requirements for product quality are increasing. As an important means of modern industrial quality control, online detection technology has become an indispensable part of glass manufacturing enterprises. GB/T 36404—2018 standard is formulated based on industry practical experience and technological progress, filling the gap in the field of online detection of flat glass defects in China.

In terms of technological evolution, the standard integrates advanced technologies such as optical imaging, computer vision and artificial intelligence, and promotes the development of traditional detection methods towards intelligence and automation. By introducing image acquisition and processing systems and computer analysis technology, the defect detection rate and recognition accuracy have been significantly improved.

Detection requirements and specifications

Glass thickness D/mm	Defect core size L/mm	Defect detection rate/%	False positive rate/%	Defect type identification accuracy/%
2≤D≤5	0.1≤L<0.3	≥95	≤1	≥85
2≤D≤5		L≥0.3			≥98
5	0.1≤L<0.3	≥90
5	L≥0.3	≥95

Note: The above table shows the inspection requirements for flat glass of different thicknesses under different defect sizes. The specific indicators need to be adjusted according to actual production needs.

Composition and Function of Online Inspection System

1. Overall Architecture of Inspection System

The online inspection system for point defects of flat glass is mainly composed of light source, image acquisition system and computer processing system. These modules work together to ensure the complete process from defect identification to data output.

Light source:Provides uniform illumination and optimizes defect development.
Image acquisition system:Captures glass surface images through high-speed cameras and transmits them to computer processing systems.
Computer processing system:Responsible for image analysis, defect identification and data storage.

Implementation suggestions and application cases

To ensure the effective implementation of the standard, it is recommended that enterprises optimize the following aspects:

Equipment selection:Choose a suitable online detection system according to the production capacity and detection requirements of the glass production line.
Operation training:Provide comprehensive training for technical personnel to ensure the correct use and maintenance of detection equipment.
Data management:Establish a complete defect data analysis mechanism and regularly optimize detection parameters.

More samples: NB/T 47013.2-2015 JC/T 2453-2018 GB 50021-2001(2009)

Sample only — not a preview of GB/T 36404-2018