The underground sensor network is a kind of sensor network with sensor nodes buried in the soil. It is used in football fields, golf courses, and other stadiums and can effectively assist the stadium managers to maintain the turf condition. As the turf maintenance in the stadium is still in the manual state, the turf maintenance is time-consuming and laborious. In order to improve this situation and adapt to future development needs, this paper proposes a wireless underground sensor network, designs the network architecture, and uses NS2 network simulation. The performance of the network was simulated and tested by the platform. This article first proposes a distance estimation method for sound and vibration signals based on the generalized correlation of the time difference of arrival based on the characteristics of the real signal when the event occurs. Then, for the range estimation obtained by applying this method, applying the idea of sparse signal reconstruction, a positioning algorithm based on the time difference of arrival based on the velocity function is proposed. Finally, using the above-mentioned positioning algorithm, this paper obtains an overall fusion positioning strategy with the help of the idea of data fusion while taking into account the characteristics of the vibration source on the steel beam based on the positioning results of individual sound and vibration signals. The point of innovation lies in the development of positioning and tracking-oriented platforms, including the development of wireless sensor network gateways and the development of sensor nodes. A network gateway based on network communication was developed to realize the connection with the Internet extranet. The results show that the wireless underground sensor network has strong usability in stadiums, and the network performance can meet the application requirements.
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