In order to accurately identify such key operation parameters as pressure and liquid level in the blendingprocess of crude oil pipelines,a new method of status reasoning and identifying based on multi- sensor information ispresented.In this method,first,according to the sensor values obtained previously and the actual correspondingoperation status,a membership degree curve is established,on the basis of which the current real- time physical va-lues are sampled by sensors,and the basic probability assignment of status subsets is obtained.Then,the modify-ing,ordering,reasoning and identification of evidence sources are carried out according to the correlation of sensorinformation.Moreover, multiplicative operator is utilized for the consistency of focus elements,and plus partial al-location is conducted for the conflict part among focus elements in the reasoning process.Experimental results indi-cate that the proposed method fully takes advantage of the multi- sensor consistency or conflict information in theblending process of crude oil pipelines.As a result,it helps increase the convergence speed,decrease the misjudg-ment rate,reduce the decision- making risk and enhance the system reliability of status identification.