Why is HKB capacitive target flowmeter preferred for gas flow measurement

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1. Yizhi Liangxin has improved the MEMS measurement sensor device to effectively reduce measurement power consumption. By optimizing the MEMS sensor structure and supporting working methods, Yizhi Liangxin has achieved effective reduction in measurement power consumption and improved measurement accuracy. The core improvement lies in the addition of gas sensing devices and magnetic sensing modules, which dynamically control the operation of MEMS sensors through real-time sensing of airflow status, avoiding power waste and accuracy loss caused by habit of intermittent sampling.

1. Technical Background and Existing Problems MEMS Flow Meter Power Pain Points MEMS thermal flow meters rely on battery power supply, but due to high-power design, the battery life is only 1-3 years, far lower than the more than 10 years of mechanical flow meters.

. Although existing power consumption reduction schemes (such as intermittent operation) can reduce energy consumption, they sacrifice measurement accuracy, especially when gas flow is unstable and critical data is easily lost. The intermittent sampling defect habit scheme reduces power consumption by extending the sampling period (such as detecting once every 10 seconds), but it cannot perceive the gas flow status in the pipeline in real time, resulting in the loss of measurement information. The signal processing flow of analog conditioning circuits and digital conditioning circuits lacks judgment of airflow status, forcing MEMS sensors to work frequently to avoid missed detections and further increase power consumption.

2. Technical improvement plan for Yizhi Quantum Core: Optimization of device structure and addition of components: Gas induction device, magnet, a

nd magnetic induction device are added in the gas flow channel to form an airflow state sensing system.

. Gas sensing device: moved by the pressure of the gas flow, driving the magnet to approach or move away from the magnetic sensing device. Magnetic induction device: composed of an induction chip, resistor, capacitor, and MCU, it determines the airflow state by detecting changes in the position of the magnet. Control device: Coordinate the workflow of MEMS sensors, gas sensing devices, and magnetic sensing devices. Figure: Schematic diagram of the device structure, showing the layout of gas flow channels, MEMS sensors, gas sensing devices, magnets, and magnetic induction devices. Innovative working method dynamic control logic: Airflow triggering: Gas flow drives the gas sensing device to move, driving the magnet to approach the magnetic sensing device. State perception: After the sensing chip detects the magnet approaching, it sends a signal to the digital processing module through the controller to activate the MEMS sensor for flow rate sampling. Air flow stops: After the gas flow disappears, the gas sensing device resets, the magnet moves away from the magnetic sensing device, and the sensing chip transmits a stop signal to end the measurement. Power consumption optimization mechanism: Only activate MEMS sensors when airflow is detected to avoid invalid sampling, and the magnitude of power consumption reduction depends on the intermittent frequency of airflow. The conventional approach requires continuous or high-frequency sampling to prevent missed detections, while the improved approach shortens the sampling period to actual needs by sensing the airflow status in real-time, significantly reducing power consumpt

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