Multi-specialty high-capacity real-time data acquisition method

The invention discloses a multi-specialty high-capacity real-time data acquisition method. The method includes: deploying functions of a data acquisition subsystem of a large-scale SCADA (supervisory control and data acquisition) system on N IO server, wherein N refers to natural numbers larger than 1; using a main (N-1) hot spare redundancy mode to form a data acquisition server cluster; comprehensively considering constraint conditions and server states of each data acquisition task; dynamically adjusting the priority of the tasks on each server to allocate the tasks to the server with highest priority for parallel running; and instantiating a communication protocol to be 'workers' on 'workshop production lines' by means of plug-in software, wherein the 'production lines' are in parallel by means of combination of multithreading and multiprocessing to improve data handling capacity and communication reliability. Using the multi-specialty high-capacity real-time data acquisition method can improve communication redundancy and reliability, and data interaction handling capacity is greatly improved through the parallel mode of the multiple production lines.