Research On Key Technology In Energy Spectrum Surveying

In energy spectrum surveying, we usually acquire site data by surveying in field. Because the instrument is big and weighty, it is discommodious. Nowadays, we acquire site data to transmit by internet, next, we may separate our data from internet. In the process, how to separate data is a very important problem, so packet classification algorithm is our emphases.In measurement of radioactivity, the pulse energy is directly proportional to the radiation detector output pulse signal amplitude. So we may know their energy by measuring their pulse amplitude, which is a very important question in measurement of radioactivity. At present the measurement of pulse amplitude is widely adopted using the Multi-Channel Analyzer (MCA) to accomplish the measurement of radioactivity.I designed both hardware and software to develop the Multi-Channel Analyzer, of which the key is the PC/104 embedded computer. In a word, it has seven traits as follows:(1) The key of apparatus is the PC/104 embedded computer;(2) On the hardware, we introduce the high-speed A/D conversion component—AD 1674 to improve the MCA's conversion speed and meet the demand on the spot.;(3) On the peripheral circuit, we use the VHDL language to program and download to FPGA, which is convenient for upgrade and transplant.(4) At the same time owing to single-task DOS operating system, this makes the apparatus work more steady-going.(5) The Multi-Channel Analyzer can incept all kinds of X and y detector output signal;(6) The Multi-Channel Analyzer consumes low power (adding PC/104 computer for 4.5 watt);(7) The weight of the Multi-Channel Analyzer is light (including LCD, keyboard and battery for 2kg);The Multi-Channel Analyzer runs steady-going and good linearity by our preliminary testing and achieve anticipative aim.In energy spectrum surveying, we usually acquire site data by surveying in field. Because the instrument is big and weighty, it is discommodious. Nowadays, we acquire site data to transmit by internet, next, we may separate our data from internet. In the process, how to separate data is a very important problem, so packet classification algorithm is our emphases.