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Visual Labeling Machine User Guide: A Comprehensive Guide to Common Problems and Troubleshooting

Time:2025-04-17 Page views: 1134次

Visual Labeling Machine User Guide: A Comprehensive Guide to Common Problems and Troubleshooting


This article introduces common faults and troubleshooting methods of Longhai Huanyu Visual Labeling Machine, providing technical guidance for customers to use it normally.

1、 Basic operation points of visual labeling machine

As the core equipment of intelligent packaging equipment, the visual labeling machine requires standardized startup operation procedures for stable operation:


1. Preparation steps for startup:

Check the air source pressure (0.4-0.6MPa);


Confirm that the camera/lens is not contaminated;


Calibrate the conveyor belt speed and visual trigger timing;


Verify the consistency of light source brightness (tested using a grayscale card).


2. Daily operation and maintenance standards:

Clean the dustproof glass of the lens every shift;


Regularly backup system parameters (recommended once a week);


Re calibration is required when changing product models;


Immediately stop the machine for troubleshooting in case of abnormal alarm.


2、 Common problem diagnosis and solution

1. Image acquisition related faults

(1) Image blur

Possible reasons:


A. Lens focal length not adjusted correctly (42%)


B. Camera shutter speed mismatch (28%)


C. Product vibration exceeds the standard (accounting for 18%)


Solution:


A. Refocus using target paper


B. Adjust the shutter speed to 1/1000s or more


C. Add shock absorbers and check the structural rigidity.


(2) Overexposure/underexposure of images

Parameter Adjustment Guide:


Recommended values for adjusting parameters of phenomena

Overexposure source brightness ↓ reduced by 30% -50%

Camera gain ↓ Recommended<15dB

Underexposure exposure time ↑ 100-500 μ s

Aperture value ↓ F2.8 → F4

2. Identify and locate faults

(1) Matching failed

Processing procedure:


Check if the template is obscured


Verify the offset of product position


Adjust the matching threshold (0.7 → 0.6)


Enable rotation compensation function


(2) Coordinate offset

Nine point calibration method review steps:


Use standard calibration board


Collect images of 9 location points


Calculate the residual of the transformation matrix (should be<0.1 pixel)


Update calibration parameters


3. Mechanical execution faults

(1) Label position deviation

Three dimensional compensation method:


X/Y direction: Adjust visual coordinate offset


Z-direction: Adjust the suction height parameter


Angle: Modify rotation compensation coefficient


(2) Abnormal label peeling

Checklist:


Peel off board angle (standard 30-45 °)


Matching the marking speed (recommended to be 5% faster than the conveyor belt)


Label backing tension detection


3、 Advanced troubleshooting techniques

1. Complex scene solutions

Problem type: Implementation effect of technical solutions

Reflective surface using polarizing mirror with low angle circular light reflection suppression rate>80%

Transparent packaging with backlight source and infrared camera recognition success rate increased to 95%

Curved surface labeling 3D visual positioning flexible sticker head curvature adaptation range ± 15 °

2. Improvement of system stability

Three elements of anti-interference:


Electromagnetic shielding: signal line with magnetic ring


Vibration isolation: Install dampers


Temperature control: ambient temperature of 23 ± 2 ℃


Preventive maintenance plan:


Periodic maintenance project equipment

Daily lens cleaning/air drainage, dust-free cloth, anhydrous alcohol

Monthly guide rail lubrication/belt tension testing lithium based grease lubricating grease

Quarterly calibration of light source brightness/camera calibration standard grayscale board testing

4、 Latest intelligent diagnostic technology

1. Remote operation and maintenance system

Real time monitoring of equipment status (voltage/temperature/vibration)


Automatically generate fault reports (including recommended solutions)


Support AR remote guidance for maintenance


2. Predictive maintenance

Life prediction based on big data:


Remaining life analysis of servo motor


Light source attenuation warning


Reminder for replacement of vulnerable parts


3. Self learning system

Automatically record and handle successful exception cases


Establish a solution knowledge base


Automatic matching of historical solutions for similar faults


5、 Operator Essential Skills Matrix

Skill level and ability require training duration

8 hours of beginner basic operations/simple fault handling

Intermediate parameter optimization/mechanical adjustment 24 class hours

Advanced algorithm modification/system integration 80 class hours

Expert secondary development/special scenario solution design 200 class hours

6、 Practical troubleshooting flowchart


A [Fault Phenomenon] -->B {Image Category? }

B -->| Yes | C [Check camera/light source/lens]

B -->| No | D {Mechanical category? }

D -->| Yes | E [Check cylinder/servo/conveyor belt]

D -->| No | F [Check electrical system]

C -->G [Is the image quality up to standard? ]

G -->| No | H [Adjust optical parameters]

G -->| Yes | I [recalibrate]

E -->J [Is the actuator operating normally? ]

J -->| No | K [Check air/circuit]

J -->| Yes | L [Calibrate motion parameters]

7、 Summary and Suggestions

1. Establish standardized fault handling SOP (Standard Operating Procedure)


2. Keep complete equipment maintenance records


3. Regular preventive maintenance


4. Pay attention to the technological updates of manufacturer Longhai Huanyu


Mastering the solutions listed in this guide can solve over 90% of common malfunctions in Longhai Huanyu Visual Labeling Machine. For complex systemic issues, it is recommended to contact the equipment
Manufacturers obtain professional technical support. Through standardized operation and scientific maintenance, the overall equipment efficiency (OEE) can be improved to over 85%.

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