Abstract: To solve the problems of data quantity in visual monitoring for multi-machine equipment and some irresolvable complex tasks in single host model, a virtual monitoring method driven by real-time running data was proposed for a distributed hydraulic support group. Firstly, a driving model was established based on real-time running data. According to a data transfer method of identifiable data interactors, a distributed local area network collaboration model was established under C/S mode. And then, based on an allocation method of monitoring tasks with consistent Hash algorithm, a task scheduling model was established to dynamically allocate tasks according to the host load status. Finally, taking the laboratory hydraulic support group as the experimental object, a distributed virtual monitoring system was constructed. The experimental results show that, compared with the system established with a single host, the monitoring system established by this method can greatly improve the stability of monitoring and can provide core technical support for the construction of transparent fully mechanized mining face.