Intelligent proofreading method and system for digital design of power plant

Abstract

The invention relates to an intelligent proofreading method and system for the digital design of a power plant. The method includes the steps of A, collecting information, to be more specific, scanning engineering drawings including PID system diagrams and manufacturer data into graphical mapping diagrams and data text files; B, importing data, to be more specific, extracting the three-dimensional model information of to-be-proofread pipelines and supports and hangers, and classifying and collecting the extracted information and the data generated in the step A; C1, proofreading design specifications; C2, proofreading the PID system diagrams and the three-dimensional model topological relation; C3, calculating, matching and proofreading three-dimensional model and pipeline stress; C4, matching and proofreading the manufacturer data; C5, proofreading three-dimensional support and hanger models and the support and hanger original data; C6, performing collision check proofreading on the pipelines and the supports and hangers; D, outputting proofreading advice; E, generating a proofreading file. The intelligent proofreading method and system has the advantages that the engineering data of the three-dimensional pipelines and the supports and hangers can be automatically intelligently proofread, the efficiency of the digital design and the proofreading efficiency of the three-dimensional models are increased greatly, and the careless omission of artificial proofreading is evidently reduced even avoided.

Description

technical field [0001] The invention relates to intelligent data review, in particular to a method and system for digital design intelligent review of power plants. Background technique [0002] PDMS (Plant Design Management system) is a three-dimensional layout design management software for factories, which is widely used in engineering design in the electric power industry. Piping personnel can build detailed three-dimensional pipeline and equipment models on this platform. After the design is completed, the reviewers can It is necessary to do a lot of reading and checking of reference design data. Such manual operations greatly reduce the design efficiency, and the work is cumbersome and error-prone. [0003] In the traditional review stage, after completing the drawing of the PID diagram (pipeline and instrument flow chart), the reviewer needs to refer to the submitted PID drawing, pipeline stress calculation book, manufacturer information, support and hanger data, buil...

AI Technical Summary

Problems solved by technology

The review process requires a large amount of reference data and scattered distribution. Reviewers need to browse through the huge amount of data to find useful information and carry out various aspects of review work. Such a cumbersome and complicated workload affects the design level of reviewers. , level of detail, etc. have put forward very high requirements

Even so, human omissions or negligence in the proofreading process are unavoidable, which will eventually lead to unreasonable design drawings, reduce design efficiency and may even cause delays in the construction period, etc.

[0004] In the current digital design, the 3D model and design data are the foundation of power generation design, construction and operation and maintenance, which requires strict consistency between the designed 3D model and the PID drawings used for construction. The 3D models of pipes and hangers must be constantly updated, which brings new problems to the traditional review process. On the one hand, it increases the need for reviewers to continuously check the 3D models and PID drawings. On the other hand, due to the time lag, the reviewers are prone to check omissions during the check process, which reduces the design efficiency and may even affect the subsequent operation and maintenance of the power plant

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