| In the automation instrument,the nixie tube as the commonly used display equipment,usually displays the important parameter data such as temperature,humidity,index,etc.In some factories or enterprises,especially in dangerous areas or places that are not convenient for human observation,the monitoring of these equipment and instrument data has always been a complicated engineering problem.For some old instruments and equipment,they often do not have digital interfaces such as serial ports,USB ports,or even network ports for automatic uploading of device parameter data.It is often manual collection of terminal display data.In the actual collection process,there are often human errors in manual collection,and low collection efficiency.With the development of image processing technology,it is followed by the use of image recognition technology to replace manual meter reading,but today's image processing technology generally uses the camera to collect the terminal instrument display interface and transfer it to the PC or server for specific digital processing and Recognition,this processing method has the problems of low efficiency,large size and poor portability,and once the number of terminal devices increases,it cannot be recognized in real time.At the same time,with the continuous development of computer technology,the devices in these factories and enterprises all need to face the trend of computer integration.Data collection and identification require more safe,accurate,and efficient methods.Therefore,for these occasions,research and development of an intelligent It is very necessary for the portable,digital tube identification and monitoring system to be fast,fast and mobile.In this thesis,after exploring and analyzing the existing digital recognition processing methods,an in-depth analysis and research on the digital tube display value is carried out.A portable digital tube recognition monitoring system is designed and designed.The system hardware is based on the ZYNQ chip.It adopts an industrial camera whose exposure time can be adjusted dynamically as the image acquisition unit,adopts a 10.1-inch LCD touch screen as the system human-computer interaction device,and is equipped with a large-capacity storage chip and a Gigabit network card,while ensuring that the identification data can be stored locally in real time It ensures high-speed and stable data transmission,and effectively solves the problems of excessive size and poor portability of traditional PCs.In terms of system software,the current digital recognition related theories are analyzed in depth,and after analyzing the functional requirements of this system,each relevant module unit is designed in detail.ARM is responsible for overall system control,and FPGA is responsible for algorithm processing and recognition of image data.While making full use of the advantages of FPGA parallel computing speed and taking advantage of the high speed and low power consumption of the ARM processor,the overall function of the system is complemented.At the same time,the Linux operating system and QT library were transplanted to the ARM end of the system,and the development of related application programs was completed on the basis of this operating system,mainly including: image acquisition program,LCD and touch screen driver,network communication program And the development of related programs such as human-computer interaction programs.On the FPGA side,the development of related algorithms for nixie tube character processing is mainly completed,including: character image preprocessing and enhancement,image data binarization,character correction,character segmentation,and character feature extraction and matching and other related algorithms Development and implementation.In the end,the operation of the system is intelligent and fast,so that users can use the system conveniently and quickly.Finally,a comprehensive experiment was carried out on this system under laboratory conditions.On the basis of completing the functional test of the digital tube digital recognition system,the system was tested in detail by simulating different environments.The test results show that the system can achieve 97.9% recognition accuracy for the recognition of conventional digital characters,so that the functions of the embedded digital tube digital recognition system have met the system requirements,achieved the expected goals specified by the subject,and can be stable and reliable run. |