| In the rapid development of science and technology,energy has become an essential resource.Among the many energy sources,electricity is used most directly by people.The discovery of electromagnetic induction by British scientist Michael Radi in 1831 triggered interest in the development of generators.After more than one hundred years,electricity has been flooded in all aspects of our lives.The technology of generators has grown quite mature,and people have invented many ways to convert other energy sources into electricity,such as hydropower,wind power,solar power,and geothermal power.,Yangon power generation and so on.Therefore,the generator is a necessary infrastructure for supplying power to various fields and plays an irreplaceable role in the national economy.With the strong growth in power demand,the capacity of electrical equipment is also increasing,and the larger the generator,the more inconvenient the overhaul.Large generators fail,and nearly 50% of accidents are caused by stator windings.At home and abroad,a large number of generator stator windings have already been tested with a set of inspection procedures.Most of the testing procedures require that a hand-held inspection instrument be used by a worker to enter the generator stator windings for inspection.Due to the large labor intensity of the stator winding fault detection,long detection time,plus the possibility of manual detection of missed detection and false detection.Therefore,this subject will aim at the shortcomings of the existing methods of measuring faults,and design and implement a magnetic field detection system using a smart car equipped with a Hall element to detect the magnetic field inside the stator windings.The use of magnetic field mutation analysis of the degree of aging of the stator winding or The fault location realizes the combination of magnetic field detection and robot technology,improves the efficiency of stator winding detection,and can greatly reduce the amount of labor for stator winding detection,which is of great significance for reducing manual labor.First of all,in this paper,according to the internal environment of the stator windings,the function of the detection equipment needs to be analyzed,and a smart vehicle with a large load can be selected as the mobile carrier for magnetic field detection.Therefore,this paper selects the four-wheel differential driving method,selects the matching drive,transmission,and positioning device,and establishes a basic mobile positioning system for intelligent detection of the car.Second,this paper designs a set of intelligent magnetic field detection car control system hardware circuit.After analyzing the hardware circuit of the control system,thispaper realizes the selection and design of the hardware circuit of each component including the controller module.This paper also implements the linear running feedback control system and magnetic field sensor implementation of the smart magnetic field detection trolley.The analysis shows that the most important problem to be solved in the detection of the trolley is motion control and magnetic field detection.Therefore,after completing the design and construction of the hardware circuit,the control algorithm for the linear motion of the smart magnetic field detection car was described.The principle of the PWM motor control was analyzed,and the motion control part,the magnetic field detection part and the communication part of the software part were programmed.Finally,according to the technical characteristics of the virtual instrument development software LabVIEW,a software platform integrating magnetic car motion control,real-time acquisition and display of magnetic field data,data storage,etc.was established and simulated in the magnetic field of a self-made magnetic field generator..The car can run along the inner line of the stator windings of a large generator and detect the data of the magnetic field inside the stator windings and feed back to the upper computer in time to achieve the purpose of automatic detection. |