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An optimization method based on modified constraint adaptive particle swarm optimization (CAPSO) algorithm is proposed on the basis of careful analysis of the crude oil pipeline blending process. First of all, a model of properties optimization through many types of crude oil blending is established based on crude oil blending rules, optimization pretreating and the constraints of equipment working ability; then, according to the given crude oil blending target, fast and accurate optimization calculation by using CAPSO algorithm is done to obtain the optimal combination of crude oil components. The actual effect shows that the system can efficiently, automatically calculate the optimal proportion of crude oil blending, avoid the problems such as the poor consistency, low computation efficiency and being not easy to get the best blending ratio caused by manual calculation, effectively improve the production efficiency of the processing equipment.