The Development Of Crane Position Detection System Based On Inductive Radio Technology

The iron and steel industry is one of the key industries to implement the "made in China2025" plan.With the transformation of iron and steel enterprises to the goal of intelligence,unmanned and high efficiency,research on unmanned crane technology has become a boom.Crane position detection system,which plays an important role in unmanned crane system,needs to be transformed and upgraded.In this thesis,a crane position detection system based on induction radio is developed and successfully put into use in Shagang Group.The thesis includes the following content:After comparing the current mainstream crane position detection technologies and considering the working condition,a crane position technology based on induction radio is adopted to meet the requirements of position detection technology for unmanned crane system while the overall structure and software and hardware scheme are designed.According to the system requirements,modular software development and system testing are carried out.In case of distribution of electrical devices in the application field so that the crane position system is vulnerable to interference,an induction radio positioning algorithm based on FFT is designed.In this algorithm,useful signals are decoupled in the frequency domain to extract the signal characteristics accurately.Cortex M4 F series hardware floating-point computing platform is used to implement the algorithm to obtain high real-time performance.In order to decrease systematic errors of crane position detection system,calibration is designed,allowing external input accurate calibration positions during debugging and all the calibration and the measurement pairs are saved.The measurement results are automatically linear calibrated according to the corresponding pairs and then uploaded,which improves the accuracy of remote positon detection.Aiming at improving low configurability and poor portability,a configuration function is designed so that users can configure the number of wires and communication parameters,which reduces debugging and maintenance difficulties and makes transplantation possible.Redundant design is generally adopted in unmanned crane technology,and the internal state and reliability of the underlying position sensor need to be fully understood.To solve the problem that the existing crane position detection system only provides location information and the internal information of which is not transparent,a diagnosis function is designed to analyze and record the hardware signal state,communication state,software module and driving state,etc.,ensuring the reliability and security of system.