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CN-122021062-A - GIM file intelligent quality inspection system and method based on design result confidentiality

CN122021062ACN 122021062 ACN122021062 ACN 122021062ACN-122021062-A

Abstract

The invention discloses a GIM file intelligent quality inspection system and method based on design result confidentiality, which relates to the technical field of big data service and comprises the following steps: the system comprises a user interaction layer, a service logic layer, a core processing layer, a data storage layer, a block chain network module, an external auxiliary system and a design service, wherein the user interaction layer is used for completing man-machine interaction, the service logic layer is used for completing service, the core processing layer is used for processing data and executing programs, the data storage layer is used for storing service data and system data, the block chain network module is used for expanding block chain service, and the external auxiliary system is used for completing the design service. The system is characterized in that more than 95% of complex scenes are covered by various verification rules, the time for single item quality inspection is shortened from 4 hours to 0.5 hour, a system innovation integrated block chain evidence storage technology is adopted, the design result is guaranteed to be untampere by adopting an SHA-256 hash algorithm, the difficulty in confidentiality and traceability of the result is effectively solved, the modularized framework supports flexible expansion, the quality inspection efficiency and accuracy are greatly improved, and meanwhile, the dual requirements of quality control and intellectual property protection in digital transformation of the power industry are met.

Inventors

  • MIAO TIAN
  • Su Xingshengnan
  • LI JINZE
  • LIU XUELAI
  • LAN ZEHUA

Assignees

  • 甘肃电通电力工程设计咨询有限公司

Dates

Publication Date
20260512
Application Date
20260403

Claims (10)

  1. 1. GIM file intelligent quality inspection system based on design achievement confidentiality, characterized by comprising: The user interaction layer is used for completing man-machine interaction; The business logic layer is used for completing business; the core processing layer is used for processing data and executing programs; the data storage layer is used for storing service data and system data; the block chain network module is used for expanding block chain services; The external auxiliary system is used for completing design business; The core processing layer comprises a GIM file scanning module, a data quality checking module and an intelligent report generating module; The GIM file scanning module is in signal connection with the data quality checking module, the data quality checking module is in signal connection with the intelligent report generating module, and the intelligent report generating module is in signal connection with the blockchain network module; The GIM file scanning module comprises a catalog traversing module, a file filtering module and a batch processing module; the data quality checking module comprises a rule base management module, a multi-dimensional detection module and an error classification module; The intelligent report generating module comprises a report template module, a data analysis module and a visual display module; The blockchain network module comprises a blockchain certification module, wherein the blockchain certification module comprises a hash calculation module, a timestamp module and a distributed storage module.
  2. 2. The intelligent quality inspection system for GIM documents based on design effort confidentiality as claimed in claim 1, wherein said batch processing unit in said GIM document scanning module has a concurrent processing efficiency improvement rate Measured by the following formula: ; Wherein, the Indicating the total time consumed for the serial processing, Indicating the total time consumed for the concurrent processing.
  3. 3. The smart quality inspection system for GIM documents based on design effort confidentiality of claim 1, wherein said rule base management module is configured to store verification rules applicable to three-dimensional design specifications of the power industry; The multi-dimensional detection module is configured to detect the integrity, compliance and consistency of the GIM file; the error classification module is configured to mark detection problems in a grading manner according to the severity of errors; the user interaction layer comprises a Web interface and a CLI tool; The business logic layer comprises an API gateway and a permission authentication module; the core processing layer also comprises a task scheduling engine and a report output interface; the data storage layer comprises a relational database, a file system, a rule base, a knowledge base, a log system and a buffer system; The blockchain network module also comprises a certificate inquiry API module; The external auxiliary system comprises a design software running module, a BIM platform and a supervision platform module.
  4. 4. The GIM file intelligent quality inspection system based on design effort confidentiality of claim 1, wherein said data quality inspection module is configured with an inspection rule, wherein the inspection rule of geometric accuracy of the model is subjected to deviation analysis by adopting Hausdorff distance-based algorithm, and the maximum geometric deviation thereof The calculation formula of (2) is as follows: ; wherein A is a GIM model point set to be detected, sup represents the minimum upper bound of the set, namely the popularization of the maximum value, B is a standard reference model point set, inf represents the maximum lower bound of the set, namely the popularization of the minimum value, Is the euclidean distance between point a and point b.
  5. 5. The smart quality inspection system for GIM documents based on design effort privacy of claim 1, wherein the integrated quality score Q of the data analysis unit in the smart report generating module is calculated by a weighted summation algorithm: ; Wherein, the For the weight of the ith quality inspection dimension, For the score of the dimension, n is the total number of dimensions, and the ownership weight satisfies 。
  6. 6. The intelligent quality inspection system for GIM files based on design effort confidentiality as claimed in claim 1, wherein the hash calculation unit in the blockchain certification module generates digital fingerprint H by SHA-256 algorithm: ; Wherein, the In order to test the quality report data, As a result of the trusted time stamp, Representing a data connection operation.
  7. 7. The GIM file intelligent quality inspection method based on design result confidentiality is characterized by being applied to the GIM file intelligent quality inspection system based on design result confidentiality as claimed in any one of claims 1-6, and comprises the following steps: s1, automatically traversing a directory tree through a GIM file scanning module to acquire all GIM files to be detected; s2, performing intelligent verification on the GIM file through a data quality verification module; S3, generating a detailed quality inspection report through an intelligent report generation module; s4, the quality inspection key data is stored in a uplink mode through the blockchain certification module.
  8. 8. The intelligent quality inspection method for GIM files based on design effort confidentiality as claimed in claim 7, wherein said step S2 further comprises the steps of: S201, loading a pre-configured check rule base; S202, carrying out multi-turn and multi-dimensional detection on the GIM file; s203, recording and classifying all detected problems.
  9. 9. The intelligent quality inspection method for GIM files based on design effort confidentiality as claimed in claim 7, wherein said step S3 further comprises the steps of: S301, automatically summarizing all detection results and calculating a quality score by adopting the comprehensive quality score formula as claimed in claim 5; S302, generating a structured report according to a preset template; s303, providing a report export function and supporting output in multiple formats.
  10. 10. The intelligent quality inspection method for GIM files based on design effort confidentiality as claimed in claim 7, wherein said step S4 further comprises the steps of: S401, calculating hash values of the quality inspection report and key GIM file data by adopting the hash algorithm; s402, binding the hash value with a time stamp and linking the hash value with the time stamp; S403, generating a certification certificate for subsequent verification.

Description

GIM file intelligent quality inspection system and method based on design result confidentiality Technical Field The invention relates to the technical field of big data service, in particular to a GIM file intelligent quality inspection system and method based on confidentiality of design results. Background The GIM file is used as a core data carrier of three-dimensional digital design in the power industry, contains all-element information such as the geometric structure, electrical parameters, space topology and the like of power grid equipment, and becomes a core digital asset in the whole life cycle of power transmission and transformation engineering. In the construction of complex electric facilities such as ultra-high voltage engineering, intelligent transformer substations and the like, the quality of the GIM file is directly related to the compliance of engineering design, the construction accuracy and the reliability of later operation and maintenance. With the comprehensive promotion of three-dimensional digital designs of national power grids and southern power grids, GIM file quality inspection has become a mandatory link for engineering acceptance. However, GIM files are inherently very complex, and their data structures contain tens of different types of attribute groups and associations, making quality inspection work extremely complex. Currently, three major problems exist in quality inspection technology for GIM files in the power industry. The traditional manual detection method is highly dependent on personal experience and professional knowledge of quality inspectors, and the inspectors need to open the GIM model one by one in three-dimensional design software, and verify through visual inspection, manual clicking of equipment elements, verification of attribute tables and the like. The method has low efficiency and high omission rate, and in the GIM model detection of a typical convertor station project, manual comprehensive inspection needs about 80 working hours, and the average omission rate reaches 15% -20%. Meanwhile, the manual detection has strong subjectivity and different standards, and lacks traceable records, so that consistency of quality inspection quality is difficult to ensure. Semi-automated detection schemes based on existing commercial tools, such as detection modules in GIMREADER, bentley Substation software, etc., although some automation of the detection project is achieved to some extent, there are significant drawbacks. Such tools have limited resolution capability for GIM files, and resolution errors or compatibility problems often occur when files are generated by different versions or different depths of design software. More importantly, the tools lack deep intelligent verification capability, and most of the tools can only perform basic grammar and structure inspection, and cannot find complex problems such as electrical connection logic errors and space layout rationality conflicts among devices. Most seriously, the existing tools completely neglect the confidentiality and intellectual property protection requirements of design results, and cannot perform trusted verification on quality inspection processes and results. Early developed big data automated detection systems had significantly shorter boards in architecture and function. The big data service systems have single functions, are seriously insufficient in scene coverage, can only cover about 60% of common quality problems on average, and cannot cope with multi-dimensional and high-complexity compound scenes. Meanwhile, most of the big data service systems are information islands, cannot be effectively integrated with the existing data security system and project management flow of enterprises, and lack security consideration on the core intellectual property asset of the GIM file. In addition, the quality inspection report generated by the system is often only a simple error list, and lacks deep processing such as classification statistics, trend analysis, visual display and the like, so that the added value of quality inspection data is severely limited. In recent years, eight departments such as the industrial information department clearly propose to develop online intelligent detection in a mechanical industry digital transformation implementation scheme (2025-2030) so as to realize accurate and rapid detection of quality and whole process traceability. The existing GIM file quality inspection technology has obvious shortboards in the aspects of data management, whole process tracing and data-based decision support, and cannot meet the high-quality development requirement under policy guidance. Disclosure of Invention The invention aims to provide a GIM file intelligent quality inspection system and method based on design result confidentiality, which solve the problems in the background technology. In order to achieve the purpose, the invention is realized through the following technical sch