In grouting pressure control, traditional alarming based on pressure threshold is sometimes erroneous and delayed. In view of this, a network monitoring alarming system for grouting pressure is developed based on the theory of Statistical Process Control (SPC). Fengning pumped storage power plant (stage I) in Hebei Province with a large amount of toe plate curtain grouting is taken as a case study. The system identifies the position of sampling points and the pressure change trend by monitoring the grouting pressure value through sampling and generates pressure control diagrams based on SPC. Moreover, different pressure judgment criteria for different stages of grouting are set. Hence, the monitoring, alarming, and prediction of grouting pressure can be accomplished. Compared with traditional pressure threshold alarming, the present system reduced the time-consumption of alarming by 25% while promotes the alarming efficiency by 8%. By integrating SPC and threshold algorithm, we could identify abnormal information in advance, favorable for grouting management and control.