Intelligent Coating Solutions for Precision Results

1. Real-Time Perception and Dynamic Adjustment: Precise Control Over Every Inch of Coating

• Visual inspection layer: 3D laser profilers and hyperspectral cameras collect 1000 frames of workpiece surface images per second, accurately identifying spraying blind spots in complex structures such as edges and grooves. Combined with robot path planning algorithms, they automatically correct the spray gun angle (adjustment accuracy ±0.5°), ensuring no spraying dead angles for special-shaped workpieces (such as automobile bumpers and air conditioning outlets);
• Parameter monitoring layer: Embedded sensors capture spray pressure (accuracy ±0.01MPa), coating flow rate (±1ml/min) and curing temperature (±1℃) in real time. Data is synchronously transmitted to the central control system, which automatically adjusts valve opening and conveyor speed within 0.5 seconds when deviating from preset thresholds;
• Coating feedback layer: The online film thickness gauge scans the entire surface of the workpiece within 1 second after spraying, comparing the thickness data (accuracy ±1μm) with the standard value. If there is a deviation of more than ±3μm, a secondary touch-up program is triggered immediately, ensuring the final coating thickness is controlled within ±2μm.

2. Data-Based Management and Process Precipitation: Making Precision a Replicable Standard

• Process database: The system has built-in 500+ industry-standard process templates (such as spraying parameters for home appliance polyester paint and automotive electrophoresis coating curves). When new workpieces are put into production, simply input material, size and coating requirements, and the AI algorithm can automatically match optimal parameters, and optimize paint output and curing time based on historical data, shortening the trial production cycle by 60%;
• Full-process traceability: IoT modules record the spraying time, equipment status and detection data of each workpiece, generating a unique electronic file. It supports tracing from finished products back to raw material batches, easily meeting the traceability requirements of systems such as IATF16949 in the automotive industry and ISO9001 in the home appliance industry;
• Predictive maintenance: By analyzing equipment operation data (such as spray gun wear and filter pressure difference), the system warns of potential faults (such as nozzle clogging risks) 72 hours in advance, avoiding coating deviations caused by sudden equipment shutdowns, and increasing overall equipment efficiency (OEE) to over 92%.

3. Flexible Adaptation and Efficiency Balance: Value Extension Beyond Precision

• Rapid changeover system: For industries with multiple categories such as furniture and agricultural machinery, the "one-click color change + program call" mode is adopted. During changeover, pipelines are automatically cleaned and process parameters are switched. It only takes 15 minutes to switch from spraying cabinet door panels to dining table brackets, saving 80% of time compared to traditional manual changeover;
• Dynamic energy consumption regulation: According to the number of workpieces and coating requirements, it intelligently adjusts curing oven power and robot running speed, reducing unit product energy consumption by 25% while ensuring precision. A hardware enterprise saves more than 300,000 yuan in annual electricity bills;
• Human-machine collaboration optimization: It retains manual intervention interfaces. When encountering special workpieces (such as hand-carved furniture), operators can mark areas requiring key spraying through AR glasses, and the system automatically adapts parameters, giving play to the stability of intelligent systems while retaining the advantage of flexible manual processing.

Conclusion