Gas source positioning technology in wireless sensor network without wind speed and wind direction measuring

Abstract

The invention discloses a gas source positioning technology in a wireless sensor network without measuring wind speed and wind direction. The technology includes the following steps: detecting gas concentrations through the wireless sensor network; adopting a plume model which is based on the turbulent diffusion theory to obtain a gas concentration expression formula; conducting sum of square of deviation on the concentrations which are obtained from the detection by sensors to obtain a required object function, the error sum of squares of the measuring value of the sensor and an actual value serving as the object function; using the particle swarm optimization algorithm to resolve the object function to obtain a positioning result and environment information. According to the invention, the technology conducts online estimation on the wind speed and wind direction without adding detection means, and increases robustness and accuracy of gas source positioning.

Description

technical field [0001] The invention belongs to the field of wireless positioning of gas sources, and relates to a wireless sensor network gas source positioning technology for wind direction measurement without wind. Background technique [0002] With the rapid development of industrialization, the use of toxic and harmful gases is also increasing, and more and more people pay attention to the problem of gas leakage. In industrial production, gas leakage also exists. Due to the uncertainty of gas leakage, the location and environment at that time are also unpredictable. Once toxic and harmful gas leaks, it is very easy to cause safety hazards. It will cause great loss to industrial production and personnel safety. [0003] In recent years, with the development of wireless communication technology and semiconductor technology, the miniature sensors with small size, low power consumption, high sensitivity and large communication range can be mass-produced. The wireless sens...

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Problems solved by technology

[0011] However, the gas diffusion process is easily affected by wind speed, wind direction and turbulence. The accuracy of the traditional positioning algorithm is not high and it is also affected by the starting point. In the case of unknown external environmental factors and noise, it is difficult to obtain ideal results.

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