The FQ series gas ultrasonic flow meter is based on the principle of correlation-based differential prediction algorithm and features an independent digital temperature and pressure sensor. It offers high measurement accuracy, excellent error characteristics, low pressure loss, a wide rangeability, ease of maintenance, an aesthetically pleasing design, stable and reliable performance, and fault self-diagnosis capabilities. The built-in microcomputer of the FQ series gas ultrasonic flow meter automatically measures and stores user information, detects the operating status of the flow meter, records anomalies, and enables remote monitoring through NB-IoT communication in conjunction with a management server.
1. Micro-power technology: Utilizes sleep mode + timed detection + intelligent power reduction technology, reducing overall power consumption and extending the service life of the lithium battery.
2. Correlation-based differential prediction algorithm: Compared to the traditional time-difference method used in ultrasonic measurement, the correlation-based differential prediction algorithm can offset minor errors caused by fluid turbulence and environmental interference, achieving higher measurement accuracy.
3. Fully sealed technology: All circuits are sealed with high-performance potting compound, with no exposed electrodes, ensuring excellent sealing and long-term stable operation of the circuit board in harsh environments such as humidity and oil fumes.
4. Microcomputer and micro-storage technology: Components utilize SMD packaging with low temperature drift and high integration, ensuring stable and reliable product performance.
5. Automatic zero-point correction technology: Embedded automatic zero-point correction algorithm automatically adjusts to zero under no-flow conditions, compensating for component aging and drift over time, ensuring measurement stability and accuracy throughout the product's lifespan.
6. Gas quality automatic detection technology: Based on the difference in sound velocity between air and natural gas, it can automatically detect the type of gas flowing through the pipeline.
