AIOTOIA is committed to smart manufacturing and industrial IoT solutions since 2008.
Twenty P17 industrial tablets were deployed at key workstations in the final assembly line, testing line, and packaging line, with their configuration and functional design precisely tailored to the needs of industrial scenarios.
Hardware configuration
A 17-inch 4:3 aspect ratio screen with a resolution of 1280×1024, offering a vertical viewing angle that is more suitable for displaying technical documents.
Intel Core i5-7200U processor and 8GB DDR4 memory ensure smooth operation of complex interfaces.
Three Intel Gigabit Ethernet ports are used to connect to the PLC, vision sensor, and MES system, respectively.
Four COM ports (supporting RS422/485 and power supply), compatible with older equipment and dedicated controllers.
Resistive touchscreen, supporting stable operation while wearing gloves and in harsh environments.
System functions:
Centralized management of injection molding process parameters
Real-time monitoring of 32 key parameters, including melt temperature, injection pressure, and holding time.
Automatically retrieves the optimal process formula for different raw material grades
Automatic alerts for abnormal parameters and locking of the last 30 modules.
Online quality inspection system
Real-time display of product appearance images captured by CCD camera
Automatically identifies the location of defects such as shrinkage, flash, and shortness of material.
Generate quality trend charts and provide early warnings of mold wear conditions.
Equipment performance analysis dashboard
Real-time display of equipment OEE, energy consumption statistics, and production capacity achievement.
Automatically records the number of times the mold is used and prompts for the maintenance cycle.
Innovative application scenarios
Intelligent process optimization system
The injection molding process expert database built on P17 automatically records the correspondence between each parameter adjustment and product quality. Through machine learning, it continuously optimizes the combination of process parameters, enabling new employees to quickly produce qualified products.
Mold lifecycle management
By monitoring mold temperature, clamping force, and other data in real time using P17, a mold health prediction model can be established to provide early warnings before abnormal wear occurs, reducing mold maintenance costs by 35%.
Remote expert diagnostic platform
Leveraging the P17's multiple network ports, a collaborative platform was established for equipment manufacturers, mold engineers, and field personnel. AR remote guidance was used to quickly resolve equipment malfunctions, reducing the average troubleshooting time by 60%.
After project implementation, the following results were achieved: 1. Overall equipment efficiency increased to 87%. 2. Frequency of manual intervention on the production line decreased by 40%. 3. Customer order delivery cycle shortened by 25%. 4. Annual operating and maintenance costs were reduced.
The P17 professional industrial tablet is not only an upgrade to the human-machine interface, but also a strategic infrastructure that promotes the implementation of intelligent manufacturing.