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Military hill from the car automatic measurement technology research

Author: XieYanGen
Tutor: YuGuangPing
School: Shenyang University of Technology
Course: Detection Technology and Automation
Keywords: Linear CCD Car speedometer Electronic ignition Stationary random signal Power spectrum estimation
CLC: TP274
Type: Master's thesis
Year: 2009
Downloads: 36
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Abstract


Hill from the car automatic evaluation system and its implementation can accelerate the speed and improve the assessment of training efficiency. According to the pathway from the car 's assessment content , the subject of study is divided into three parts , namely, CCD car speed system , gasoline as well as diesel car flameout detection system flameout detection system. Car position detecting sensor linear array CCD sensor , by measuring the car two CCD image output time interval after a number of pixels to achieve the vehicle speed measurements. Subject of the use of the CCD sensor is TCD1501C, its pixel number is 5000, and its timing-driven program designed driving frequency can be up to 2MHz. Through theoretical analysis , CCD driving frequency at 100KHz , the speed range and precision can get the best balance. In order to improve the measurement accuracy and better realization vehicle positioning , the introduction of the edge detection algorithm based on differential and window width of 5 moving average filter. A theoretical estimate of the program , the theoretical measurement speed range is 0.072km / h ~ 216km / h; velocity measurement accuracy of 0.36km / h. The CCD initial realization using FPGA speed program , after the experiment , measurement precision control at 1km / h or less, speed range to meet the requirements of the pathway from the car . Through the high-voltage electronic ignition gasoline characteristics and principles of research, designed a gasoline car flameout detection scheme . Using the sense coil induction ignition signal , to achieve the automobile engine condition monitoring . Taking into account the measurement range and coil size limit , using five coils in parallel manner . Through experiments , the flame detection scheme recognition accuracy above 99% . Diesel car uses compression ignition engine is running along with strong vibration signal of the vibration signal is a weak stationary random signal that can be extracted using the electret microphone . For engine vibration signal characteristics , designed based on the signal power spectrum estimation methods , the establishment of the order of 50 AR model , while solving the AR model are discussed Levinson-Durbin algorithm, the algorithm to estimate the scale of the operation , and select the corresponding MCU to implement the algorithm.

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