IOT News

In the context of intelligent manufacturing, the core position of quality management is becoming increasingly prominent, becoming a key factor driving efficient and sustainable development of enterprises. However, most industrial enterprises often face many challenges when advancing quality management systems, such as the inability to perceive quality fluctuations in the production process, the formation of information islands from large amounts of data, poor cross-departmental information communication, and slow updates of quality inspection standards.

Quality inspection instruments include weighing meters for weight measurement, frequency meters and spectrum analyzers for electrical measurement, tension meters and torque meters used for mechanical testing, high-and-low temperature test chambers for environmental testing, and so on. They often rely on manual operation of various instruments, which brings problems such as high work intensity, low efficiency, and large errors. At the same time, quality inspection data management is also very chaotic, resulting in product traceability, process optimization, and other work being unable to obtain decision-making improvements.

By connecting to various quality monitoring instruments through serial ports and network ports, the industrial intelligent gateway can collect data such as weight, quantity, temperature and humidity, and frequency in real time, and connect to the quality management platform through 5G/4G/WIFI/Ethernet and other methods, thereby forming quality reports, realizing quality monitoring and automatic alarms for raw materials, semi-finished products, and finished products, facilitating rapid understanding of nonconforming data and taking measures, and ensuring product quality and safety.

Implemented Functions

1. Monitor various quality data of products and display them in forms such as charts and maps, facilitating management personnel to intuitively understand production status, qualification rate, production time, and other information.

2. Monitor alarm data of nonconforming products and summarize them into reports, facilitating management personnel to locate the batches of nonconforming products, trace back the causes of alarms, and take reasonable measures.

3. Save data to the database, thereby continuously tracking quality changes of each product, and reasonably adjusting and updating according to market changes and customer needs, and establishing a new quality supervision system.