研究目的
To design a configurable data acquisition system that can adapt to various working conditions, specifically for automatic filling lines, without changing the hardware, to address the lack of universality in existing systems.
研究成果
The configurable data acquisition system successfully achieves data acquisition for various working conditions without hardware changes, demonstrating universality, expansibility via SPI interface, and non-interference with production. It improves product quality through real-time monitoring and analysis, with smooth operation and potential for broader industrial applications.
研究不足
The system may face issues with network instability leading to potential data loss, reliance on SD card backup which has limited capacity requiring periodic data erasure, and high cost of 3D printed shells suggesting a need for cost-effective alternatives. It is currently tested only on automatic filling lines, and scalability to very large data volumes might require additional hardware.
1：Experimental Design and Method Selection:
The system is based on ARM architecture and uses a modular design approach. It employs FreeRTOS real-time operating system for multitasking and time slice rotation scheduling algorithm to handle multiple data acquisition tasks simultaneously. Communication protocols are designed for data transmission between components.
2：Sample Selection and Data Sources:
The system is tested with an automatic filling line, collecting data from sensors such as gas pressure sensors, weighing sensors, and temperature sensors. Data is sourced from these sensors in real-time.
3：List of Experimental Equipment and Materials:
Includes ARM processor (STM32F103ZET6), WIFI module (ATK-ESP8266), HMI screen (3.2 inch), AD conversion chips (ADS1115 for analog sensors, HX711 for weighing sensors), SD card (16G), sensors (gas pressure, weighing, temperature), and power supply circuits.
4：2 inch), AD conversion chips (ADS1115 for analog sensors, HX711 for weighing sensors), SD card (16G), sensors (gas pressure, weighing, temperature), and power supply circuits.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The acquisition board collects data from up to 8 channels (4 analog, 4 digital), sends data to a host computer via WIFI and socket technology, which then uploads it to a MySQL database on a server. Users access data and analysis through a cloud platform. Configuration is done via HMI screen for WIFI settings, IP addresses, sensor selection, and sampling frequencies.
5：Data Analysis Methods:
Data is parsed and stored in databases; the cloud platform provides real-time data visualization and future statistical analysis for fault diagnosis and quality improvement.
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