Research on multi-sensor positioning and number identification method of greenhouse based on hall effect

Abstract

Wireless sensors are becoming increasingly important in greenhouse automation. In order for wireless charging to be as effective and stable as possible, accurate spatial physical location information and sensor quantity information are essential. Consequently, identifying sensor location and quantity information has become a crucial step in the construction of a high-quality greenhouse wireless charging system. This paper suggests using the Hall effect for multi-sensor positioning and quantity identification to solve this issue. The multi-sensor greenhouse space with Hall elements is modeled physically in three dimensions, with theoretical research and equation development. A magnetic field simulation using Maxwell is conducted to compare the magnetic field for sensor localization in space, and the parameters of the designed 3D physical model is optimized based on the simulation. Comparative experiments on sensor positioning and quantity identification were also carried out, and the design parameters constructed the experimental verification platform. After that, numerous sets of experimental comparison data were collected to confirm the system's viability. Finally, the positioning experiment's error between the calculated and test values is 5 to 11 percent, and the number of the receivers can be accurately obtained based on the number of Hall voltage pulse responses. The concept of multi-sensor positioning and number identification based on the Hall effect serves as a model and a direction for future research on wireless charging in greenhouses and other environments.