A bar LED lamp assembly device

Through the intelligent collaborative control system and process parameter self-learning module, the glue application and lamp board insertion process are monitored and optimized in real time, solving the problems of uneven glue distribution and insufficient assembly resistance sensing in existing equipment, and realizing efficient and stable automated assembly of lamps.

CN122253441APending Publication Date: 2026-06-23GUANGDONG CHANGLI PHOTOELECTRIC TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG CHANGLI PHOTOELECTRIC TECH CO LTD
Filing Date
2026-02-06
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing automated assembly equipment cannot monitor the amount and uniformity of adhesive application in real time, resulting in poor lens bonding or stress problems. Furthermore, it cannot sense and adapt to dynamic assembly resistance, leading to damage to lamp panels or light strips and a decrease in assembly yield.

Method used

The system employs an intelligent collaborative control system that integrates a process parameter self-learning module. Through sensors, it monitors the pressing and insertion process in real time, dynamically adjusts control parameters, predicts and sets adaptive resistance thresholds, and combines a special mechanical structure to prevent jamming. This enables the diagnosis of abnormal glue distribution and proactive optimization of the insertion process.

Benefits of technology

It improves the quality and stability of lens installation and the success rate of insertion, reduces the equipment's reliance on manual parameter adjustment, and enhances the long-term stability and intelligence level of the production line.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a bar-shaped LED lamp assembling equipment and relates to the technical field of LED lamp automatic assembling. The equipment comprises a rack, a conveying device, a glue coating device, a lens mounting device and a lamp plate inserting device, and is characterized in that the equipment further comprises an intelligent collaborative control system. The system is provided with a first sensor for collecting lens pressing process pressure and a second sensor for collecting lamp plate inserting process resistance, and comprises a process parameter self-learning module. The module continuously analyzes historical data to establish and update an optimization strategy model through regression analysis or machine learning methods. According to real-time pressing characteristic data, the model can predict and dynamically set an adaptive resistance warning threshold linked with the second sensor, so that the lamp plate end face pushing device can be intelligently controlled to perform anti-stuck actions such as reverse rotation, cross-process quality prediction and adaptive control are realized, and the assembling success rate and the equipment intelligent level are significantly improved.
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