| Motor has become an indispensable power machine in modern production,and ac motor has become the most important electrical equipment in the production process with good performance.Motor because of its complexity and the machine structure has been in a working state,so will work as the lengthen of time often appear all sorts of machine fault or wrong operation equipment can not work normally,it will be because of the importance of motor affect the normal work of the whole machine equipment,especially in some complex work environment,may be a small fault for not timely discovery will lead to a series of chain reaction,resulting in significant property damage or disaster,so you have to improve the safe operation of the motor.Because of wireless communication and computing technology development,the more advanced and complicated,the user of the future wireless network technology and computing solution must be able to meet these challenges demand are presented,the algorithm research and a lot of research on learning strategies,this is mainly because they have module monitoring ability and efficient data analysis ability.The application of the algorithm in the Internet of things can significantly improve the performance of the Internet of things system in different stages,including the node level of the Internet of things,local communication,remote communication,enterprise data center,etc.This paper mainly focuses on the further analysis of the data transmitted by the Internet of things.Motor in the production of coal enterprises in the motor everywhere,such as coal drilling machine,scraper conveyor,hoist,motor in the underground work often because of small faults caused major safety accidents.In order to improve the efficient and safe production of coal enterprises,it is of great significance to study the fault of mine ac motor.This design is mainly based on the Internet of things technology,data acquisition through various sensors and finally in-depth research on mine ac motor through algorithm analysis.With the wireless transmission chip CC2530 as the core,the front end of the collection motor operation data sensors are: ACS712 flow sensor,DS18B20 temperature sensor.Finally,the PSO algorithm is used to accurately judge the current fault situation by fault analysis of the collected parameters.Data transmission mainly consists of network layer,and regional wireless communication is realized through the wireless rf function of Zig Bee chip.The data acquisition mainly consists of the sensor module,which collects the current and voltage signals of the ac motor through the sensor,and realizes the conversion of analog signals and digital signals.The data application layer,namely the upper computer monitoring software,will collect the real-time reality of data in the terminal device for the operator to read by the upper computer software.PSO algorithm is used to analyze the data,and the most accurate fault judgment is obtained by analyzing the collected current signal and algorithm.In addition to real-time reading of the motor operation data on the spot,the data can also be archived in the form of a table or put into a specialized cloud data processing library,and the historical data can be pulled out at any time for professional staff to analyze,not only can determine the current state of the motor andPSOsible future failures.In order to verify the design of innovative and accuracy,and finally through the experiment in the laboratory are needed to build the working state of the mine ac motor,by motor test in laboratory,the motor rotor current and temperature data collection,finally through the analysis of the PSO algorithm for fault,realize local fault alarm and remote transmission function. |
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