Abstract
At present, the remote meter reading problem for a large number of existing domestic diaphragm gas meters has not been reliably solved. The diaphragm gas meter uses a physical structure to measure gas consumption, so the main problem of remote meter reading is the digitization of gas consumption. Although it is possible to digitize the consumption data by modifying the internal structure of the gas meter or adding sensors, thereby realizing the function of remote meter reading, the modification process is complicated, the modification cost is high, and manual meter reading can only be used for the existing diaphragm gas meters. For this reason, this paper proposes an indirect measurement method of gas consumption based on gas pressure signal detection. The method can digitalize the metering results of the mechanical diaphragm gas meter and develop a state detection function by analyzing the pressure signal of the outlet of the meter without modifying the internal structure of a meter, thus addressing the key difficulties in the construction of a gas meter remote meter reading system. The experimental results show that this method has small calculation error and high reliability.
Highlights
With the rapid development of modern computer technology and communication technology, the remote intelligent collection of domestic gas meter, water meter, electric energy meter and thermal energy meter information has become a major priority
The remote meter reading system is widely used in developed countries
Using an intelligent meter reading method instead of the traditional manual meter reading method can greatly reduce the cost of labor
Summary
With the rapid development of modern computer technology and communication technology, the remote intelligent collection of domestic gas meter, water meter, electric energy meter and thermal energy meter information has become a major priority. Cai Shun studies a remote control gas meter reading system based on ZigBee wireless communication technology and digital image recognition technology [2] In this scheme, the sensor node takes a picture of the gas meter using a CMOS camera, and sends it to the sink node through a multi-hop ZigBee network in the residential area. The scheme involves installing the Omega FMA3340 high-precision airflow meter and pressure detecting device at the gas outlet of the diaphragm gas meter, and adding an optical encoder to the gas meter gear to obtain the rotation parameters This method can achieve high-precision gas metering and gas leakage monitoring, but the method is carried out in an ideal experimental environment without considering the actual gas network pressure fluctuations and noise.
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