Process guidance system for industrial process control

Abstract

The invention discloses a process guidance system for industrial process control. The system comprises a process guidance module, a data acquisition and monitoring control system, a process analysis module and an interface drive module, wherein the process guidance module is used for performing action decomposition and attribute configuration on a controlled element, and performing simple imaging and drag operation on the process of a user to generate intelligent guidance data that can be recognized by the system; the data acquisition and monitoring control system is used for monitoring the running state of the process control system and adjusting parameters; the process analysis module is used for analyzing the data generated by the process guidance module via a controller, and implementing process control on the user process; and the interface drive module is used for driving peripheral interface equipment according to the analysis result of the process analysis module. The system does not need to concern the specific detail and network topology structure of the controlled element, the user process control program is completely replaced by intelligent data via data drive thought, the controller user process program is free from being compiled, and the process control of the user becomes simple, transparent, direct and flexible.

Description

technical field [0001] The invention relates to the field of industrial control systems, in particular to an industrial process control process guidance system. Background technique [0002] At present, the process control system is divided into two categories: CCS centralized control system and DCS distributed control system. Whether it is a CCS system or a DCS system, people divide it into two fields from the perspective of industry technology, and PLM, MES, and SCADA are divided into two categories. For the IT field, while PLC controller hardware and PLC programming are classified as the AT field. SCADA (Data Acquisition and Supervisory Control System) and the controller are connected through an industrial real-time database. Although these two parts are developing rapidly, their independence also makes the process control cumbersome and complicated, requiring one-to-one programming. Secondly, there are mostly master-slave structures. For example, DCS is a typical maste...

AI Technical Summary

Problems solved by technology

However, it cannot completely transparently integrate engineering configuration, PLC programming, user instrumentation, equipment, and data communication into one

One of the most important bottlenecks is that the controller cannot directly understand the language of the control management software, resulting in the need for differentiated programming to interpret these languages, and flexibility naturally becomes extremely difficult

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