The Key Technologies Of The Automatic Blood Type Analysis System

The automatic blood type analysis system was one of the representative of thehigh-end blood analysis equipments,and the system's research involves a number ofkey technology,such as motion control, micro pipette, fault diagnosis, imageprocessing,and so on. Therefore, the solution of these key technology is the premiseof the system's research.To meet the current domestic demand of the automatic bloodtype analysis system,based on the study of the blood type analysis technology and theforeign blood type analysis system,we solved these key key technology and developedthe domestic first automatic blood type analysis system.The micro-pipette institutions of the automatic blood type analysis system is acomplex mechanical structures with multi-axis coordinated motion. Its mechanicalstructure, control strategy, system model, single-axis motion controller, multi-axismotion controller was studied,and its control circuit was designed by the chip DSPand FGPA. The improvement of the single neuron PID speed control algorithm andfuzzy PID position control algorithm met the deficiency of the traditional PIDalgorithm.The speed and stability of the micro-pipette institutions was greatlyimproved with its single axis positioning accuracy5mm, its maximum velocity1.6m/sand its maximum acceleration6m/s2,which led the instrument's detection speed to80/h eventually.The micro-pipette technology is the premise to acheive the precise sample of themicro-pipette institutions. The mechanical model of a micro-pump, the outputaccuracy detction of the pump,the recognition of sampling needle's block and theliquid level detection was studied. Choosing the material ZrO2was proved effectiveby stress analysis and modal analysis, for the maximum displacement of its first-ordermodes was less than1um. The optical design improved the fluorescence collection efficiency of the micro-pump precision's testing organization by48.19%. The bloodclots blocking and serum bubbles was distinguished by analyzing the sampling needlecatheter pressure's amplitude distribution and spectral characteristics. The differentelectrical properties of the red blood cells and serum was studied with the liquid levelsensor designed by chip CD4046.The automatic blood typing system needs lower failure rate to achieve itsautomation. We studied the centrifuge's mechanical structure, fault detectionplatform,vibration signal software filtering, feature extraction and wavelet BP neuralnetwork fault diagnosis. The wavelet BP neural network's convergence speed andfault diagnosis accuracy was improved by adaptive rate and genetic algorithms. Itstraining iterations reduced by the463generations to112generations, and its faultdiagnosis's correct rate82.5%to95%.The automatic blood type analysis system is committed to the correct analysis ofthe blood group results. Four issues was studied,such as the blood card's tilt correction,image segmentation,species identification and results identify.The time required forimage processing was reduced effectively by using two matching algorithms,whichreduced the template matching time of the blood card from9.342s to0.946s.The subject was supported by the "863" Project with the mumber2011AA02A104.And,it also was supported by the science and technology projects inSuzhou with the number ZXG201135.