What Is the Main Detection Content of Paper Disease Online Detection System

Because the paper quality of papermaking production is very important, but in the process of papermaking production, there are many aspects that will cause paper defects. Therefore, it is urgent to adopt advanced technical solutions to solve the existing problems. The SIMV paper surface defect detection system based on machine vision technology scans the paper surface through a linear array camera, cooperates with the SIMV paper surface defect detection system independently developed by semefi to quickly identify defects, automatically classify defects, find defects, alarm and mark, realize 100% paper defect detection, and greatly improve production efficiency.

Wuxi semefi Technology Co., Ltd. is located in the International Innovation Park of China sensor network and in Wuxi, the core area of the Yangtze River Delta with beautiful scenery and developed economy. It is a scientific and technological enterprise specializing in machine vision automatic detection equipment. At the same time, it is also an earlier and technologically leading machine vision solution provider in China.

Since its establishment, the company has been focusing on the field of machine vision detection, aiming to help enterprises improve product quality, find bad products, save labor and reduce manufacturing costs. Relying on its strong talent, technology and other resource advantages, the company has achieved great success in the application field of machine vision detection. SIMV machine vision inspection system independently developed by the company is widely used in surface quality inspection of steel strip, film, non-woven fabric, paper and other industries.

For normal paper, the whiteness is more than 70%, while the whiteness of rotten pulp is generally less than 30%. The whiteness detection can be measured by various optical detection instruments. Because the current paper measurement requires dynamic detection in high-speed operation, a fast detection device must be used, and the application system in the existing technical scheme is the most ideal choice. The SIMV paper surface defect detection system based on machine vision technology scans the paper surface through a linear array camera, cooperates with the SIMV paper surface defect detection system independently developed by semefi to quickly identify defects, automatically classify defects, find defects, alarm and mark, realize 100% paper defect detection, and greatly improve production efficiency.

Detection principle: during normal production of the production line, the bright LED linear condensing cold light source irradiates the product surface based on the transmission principle (for paper products with thick paper and high surface defect detection angle, the reflection detection principle is adopted), and the linear array camera erected on the production line performs real-time synchronous scanning, At the same time, the paper defect image collected by the camera is segmented by SIMV image processing unit. Because the gray scale of defect image is obviously different from that of normal products, the system can find defects and effectively judge and classify defects at the same time.

Technical parameters:

Test objects: newsprint, special paper, coated paper, whiteboard, art paper, cultural paper, cigarette paper, laser paper, etc

Typical defects: scratches, bright spots, damages, black spots, holes, folds, oil spots, etc

Detection width: any width (different width can be met through the combination of cameras)

Detection speed: max2000m / min

Detection accuracy: 0.2mm 2mm (depending on detection speed and number of cameras)

Defect identification: audible and visual alarm, real-time labeling, real-time display of defect coordinate information distribution map

System advantages:

1. Accurate positioning and display of defect coordinates (x, y coordinates);

2. Real time defect calibration, recording defect diameter, coordinates, type and other information;

3. Monitor meters in real time and display alarm information;

4. Realize automatic defect classification according to the characteristics of defect shape, area size and gray difference;

5. Automatically generate the product defect record of each roll of products, and the user can query directly according to the batch number;

6. The product basic information module records the product batch, model, specification, shift number, operator and other information;

7. Automatic statistics, storage, query, call and print of detection history;

8. Automatically change the volume and automatically print the quality report of each volume of product information;

9. Automatic audible and visual alarm, and display the current and front and rear 10 defect images;

10. Long time and large capacity history storage;

11. Automatic linkage of products, remote technical services, etc.

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