The present invention provides a honeysuckle concentration process online real-time discharging detection method, which comprises: collecting a honeysuckle concentration process near-infrared transmitted spectrum, establishing a near-infrared model, collecting an end point sample, determining various quality control indexes, establishing a quantitative real-time discharging detection standard by using a Shewhart control map, collecting the near-infrared spectrum of the end point sample, establishing a multi-variable statistics process control model, obtaining a qualitative RTRT standard, collecting abnormal batch samples, predicting the abnormal batch by using the near-infrared model, drawing the Shewhart control map, verifying the quantitative RTRT feasibility, collecting the abnormal batch sample spectrum, calculating the D statistic and the Q statistic by using a MSPC model, and verifying the RTRT feasibility. According to the present invention, the near infrared control and the statistical process control are combined to achieve the honeysuckle concentration process real-time discharging detection, and the batch meeting the quantitative and qualitative discharging standard can be discharged and enters the subsequent fine purification process so as to improve the quality control level of the concentration process.