Wireless Ranging and Smelting Driving Location based on Moore Voting Method

Abstract

In order to explore the reasons for the insufficient positioning accuracy of the crane, to ensure the personal safety of the staff, and to improve the reliability of production operations and work efficiency. Focus on building a set of practical, easy-to-operate, concise and efficient real-time positioning system based on TOF wireless ranging technology and laser radar technology measurement principle. Analyze the principle of the TOF wireless ranging data error, and use the extended Kalman filter method to perform error analysis and noise reduction processing on the distance data collected by the TOF wireless ranging sensor on site. After the extended Kalman filtering data, the average error is less than 0.1 cm, to improve the reliability and robustness of real-time positioning systems for on-site operations in steel mills. The Moore voting method is used to locate the smelting crane laterally, combined with the distance data of the laser radar sensor to determine the longitudinal positioning of the wireless smelting crane, and realize the all-round real-time positioning function of the smelting crane during operation.