Research On Data Acquisition And Supervision System For Physical Fitness Equipment

With the rapid socio-economic development,people's living standards have been greatly improved,more and more people began to walk into the gym to keep fit and relieve stress.In recent years,with the development of high-tech,especially the combination of Internet of Things technology,sensor technology and embedded technology makes fitness more convenient and smart.So networked and intelligent fitness has become the current research focus.Sporting networks,digitization and intelligence is not high at present,which leading to blind random exercise,exercise ineffective,sports injuries and other issues.This article is based on the Shandong Luneng Football Club,take the strength of fitness equipment as the object of study and developed an intelligent power equipment training system with the help of highly developed technology in Internet of Things technology,wireless network transmission technology,embedded technology,fingerprint recognition technology and Android program development technology.This system includes fitness client and fitness management backstage,according to the above related technologies to complete the system acquisition unit,transmission unit and host computer software and hardware design and testing,the test results show that the system works well in Luneng Football Club,and realize erupt simultaneously collection of 33 power type equipment,the completion of the training program delivery,real-time training data collection and upload and training data for effective preservation.According to different authorities,managers can query and modify training records and training plans,while players can only view.The implementation of this system greatly improves the rationality and interest of strength training.The main content and innovation of this system are as below:1.The traditional of fitness equipment has been renovated,The perception layer is installed on the bottom of the counterweight block with the pull rope displacement sensor and the Holzer sensor.STM32 is selected as the main control chip,and the weight and frequency of the training process are collected effectively.2.Select serial port communication mode to achieve connection between acquisition unit and intelligent terminal,intelligent terminal and terminal management backstage communicate through Wifi form.And build the Android development environment under the Windows system to realize the installation of database and server.3.Select FPC1020 fingerprint recognition module as one of the ways of user login,compile the mobile terminal APP,realize the real-time display and upload to the database of training data.Finish the WEB development of terminal management background.This background can be used for administrators to see and modify players' personal information,training records and training plans,etc.players can also enter personal information through the terminal management background and check personal history training records.