In order to improve detection accuracy and reduce false alarm rate, research on gas pipeline leakage algorithm has extremely important significance. In this paper based on long pipe negative pressure wave algorithm, the adaptive Kalman filter detection method is proposed, which can overcome the shortage of wavelet transform method. An adaptive detection model is established using the data collected by pressure sensor. The location of leakage point can be calculated by time difference between the upstream and downstream through the Kalman Filter. The relative error and false alarm rate are estimated. Experimental results show that the improved method can reduce the false alarm rate. The adaptive Kalman filter detection method provides a useful method for the detection of natural gas pipeline leakage.Keywords Negative pressure wave Á Wavelet transform Á Adaptive Kalman filtering Á Detection technology IntroductionNatural gas is a necessary energy in people's daily life, and is closely related to people's life. As energy fuel distributed by the state it has received immense social attention today; natural gas is the most important energy being a clean green energy and being supplied directly to millions of households through gas pipelines. Because of the flammable characteristics of natural gas, it is mainly transported by pipelines [1]. The safe transportation of natural gas is a problem that must be solved as it has become the focus of people's worry and the country attaches great

Wireless charging technology is wireless power transmission through electromagnetic wave. Wireless charging technology can make the product design get rid of the shackles of cable and make the product design more compact and miniaturized. This paper introduces the wireless charging technology. in order to overcome the heavy charging cable, realize wireless charging anytime and anywhere; Electronic equipment has the trend of miniaturization, low power consumption and standardization of wireless charging; The application of Internet of things and the sensor of wireless sensor network do not need to connect, power supply and send and upload data through cable. As well as wireless charging, charging efficiency, its impact on the human body, ultra-low power sensors and commercial operation of wireless charging technology are the research focus of wireless charging technology.

Ventilation tunnel wind-induced vibration piezoelectric energy collection MFC as vibration energy in the ventilation tunnel and stores it in the energy storage device to provide the electrical energy required by the wireless sensor in the tunnel. According to the piezoelectric effect of piezoelectric materials, the instantaneous accumulated positive and negative charges generated at both ends of the piezoelectric vibrator at the instantaneous wind speed and wind vibration in the tunnel are collected. By establishing a piezoelectric energy collection model, the irregular transient charges are captured and stored as Available direct current. The piezoelectric energy harvesting model uses wind speed rotation as the traction force to drive the piezoelectric vibrator to vibrate, thereby converting wind energy into instantaneous electrical energy, and using the electrical energy harvesting device to store the electrical energy in the energy storage device. Experiments verify that when the wind-induced vibration piezoelectric energy collection model of the ventilation tunnel is at a wind speed of 8m/s, the maximum output voltage of the energy storage device is 42.2V, which can meet the power supply requirements of wireless sensors in the ventilation tunnel.