Post RFQ
Compared with traditional offline detection equipment, this system adopts an automatic pipeline sampling design, which can be directly connected to the production line to complete real-time detection without manual sampling. The detection speed can reach 15 samples per hour, realizing full-process quality monitoring of the production process. It is equipped with an automatic calibration module that can automatically complete system calibration regularly to ensure the accuracy of detection data. It uses a 316L stainless steel shell with a protection level of IP65, adapting to the complex environment of industrial production workshops, and is corrosion-resistant and easy to clean. The system supports a variety of industrial communication protocols such as Ethernet, MODBUS and Profibus, and can be seamlessly connected with the enterprise production management system to realize real-time data upload and remote monitoring. It is equipped with a cloud data storage system that can store millions of detection data, which is convenient for later quality traceability and analysis.

The overall size of the machine is 1200mm × 800mm × 1600mm, with a net weight of 180kg. The installation position and sampling interface can be customized according to customer needs. The detection range covers 0.05% to 50% total nitrogen content. The automatic sampling interval can be customized according to production needs, ranging from 1 minute to 60 minutes. The device is equipped with an industrial-grade touch screen that can display production progress, detection data and equipment operating status in real time. The power supply supports AC 380V 50/60Hz, adapting to industrial power standards. It is equipped with a complete safety protection system including over-temperature protection, over-voltage protection, leakage protection and other functions to ensure safe use in industrial production scenarios. The system supports remote operation and maintenance and fault diagnosis, and can monitor the operating status of the equipment in real time through the cloud platform to troubleshoot faults in advance.

It is mainly used for online detection of dairy protein content in food processing plants, real-time monitoring of raw material and finished product nitrogen content in feed production lines, online quality inspection of raw material nitrogen content in the pharmaceutical industry, and quality control of protein beverages in the beverage industry. It is suitable for large-scale continuous production enterprises, and can realize full-process quality control of the production process without manual sampling and laboratory detection, greatly improving production efficiency and product quality stability, while reducing labor costs and detection cycles, providing enterprises with real-time quality data to help enterprises optimize production processes and product formulas.