CN-121996702-A - System base map nested identification checking method and system based on artificial intelligence

CN121996702ACN 121996702 ACN121996702 ACN 121996702ACN-121996702-A

Abstract

The invention belongs to the technical field of engineering design automation and artificial intelligence, and discloses a system base map nested identification checking method set and system based on artificial intelligence, wherein the method comprises the steps of searching a matched standard base map from a nested base map database according to a current design stage identification, automatically nesting the standard base map into the current system base map in a space matching mode based on a system base map data structure, and generating composite map file data; the method comprises the steps of generating a primary identification report by calling an AI identification engine, automatically mapping and integrating the composite image data according to a check rule to obtain a structural check conclusion, triggering a corresponding processing mechanism instruction according to the structural check conclusion to drive a check flow, automatically generating a backtracking path diagram according to operation history and resetting a flow state if the flow is refused, and realizing full-flow automation, intellectualization and standardization of design check by utilizing double-base diagram dynamic coupling check, thereby remarkably improving check efficiency, precision and quality controllability.

Inventors

SHE YANGYANG
DONG SHUQING
HUANG YU
XIE ZHIYAN
YANG PENGBO
LI XIUZHANG
WU TONG
KANG LE

Assignees

中国能源建设集团陕西省电力设计院有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. The system base map nested type identification checking method based on the artificial intelligence is characterized by comprising the following steps of: Constructing a system base map data structure and a nested base map database, wherein the system base map data structure is used for defining a data organization format and a version management framework of an editable basic album, and the nested base map database stores a read-only standard album for checking and referencing and an associated checking rule knowledge base thereof; Responding to a checking instruction, searching a matched standard base diagram from the nested base diagram database according to the current design stage identification, and automatically nesting the standard base diagram into the current system base diagram in a space matching mode based on the system base diagram data structure so as to generate composite diagram file data; An artificial intelligent recognition engine is called to automatically recognize the composite image file data according to the checking rules in the nested base image database, and a preliminary recognition report is generated, wherein the preliminary recognition report comprises error types, coordinate positions and violation rule numbers; Automatically performing result mapping and integration based on the preliminary identification report to obtain a structural check conclusion, wherein the structural check conclusion comprises an error level, an error positioning frame and a modification suggestion; According to the error level in the structural check conclusion, a corresponding processing mechanism instruction is automatically triggered to execute a check flow; If the checking flow is rejected by the authorized node, automatically generating a backtracking path diagram according to the rejection instruction and the operation history stored in the system base diagram data structure, and resetting the flow state to a specified stage.
2. The method for nested identification and verification of a system base map based on artificial intelligence of claim 1, wherein the steps of retrieving a matched standard base map from the nested base map database according to the current design stage identification, and automatically nesting the standard base map into the current system base map in a space matching manner based on the system base map data structure to generate composite map file data comprise: Analyzing metadata of a current system base map, and extracting a current design stage identifier, wherein the current design stage identifier comprises a professional type identifier and a design stage code; searching a matched standard base chart from the nested base chart database by taking the professional type identifier and the design stage code as query conditions; And embedding the standard base map into a system base map in a read-only visualization mode to form the composite map file data, and generating a global unique version identifier for the composite map file data.
3. The method for nested recognition and check of a system base map based on artificial intelligence according to claim 1, wherein the step of calling an artificial intelligence recognition engine to automatically recognize the composite map file data according to check rules in the nested base map database to generate a preliminary recognition report comprises the steps of: Analyzing the composite drawing file data, extracting geometric figures, text labels and entity model information in the composite drawing file data, and converting the geometric figures, the text labels and the entity model information into a standardized feature vector set; invoking a graphic processing engine to perform space alignment calculation on the standard base map and the current system base map to generate a space alignment matrix; Based on the space alignment matrix, establishing a logic link between a standard base diagram and a system base diagram design element in a correlation layer defined by the system base diagram data structure, and automatically calculating to generate a topology dependency relation matrix describing the logic link dependency relation; Invoking a geometric feature recognition sub-engine, processing corresponding line type and size data in the standardized feature vector set by adopting a convolutional neural network according to element pairs associated with the topological dependency matrix, and performing differential comparison with standard primitives prestored in the nested base map database to output a geometric feature deviation data set; Invoking a semantic rule recognition sub-engine, loading an industry specification knowledge graph in the nested base graph database based on system base graph design elements associated with the logic links to perform semantic analysis and compliance verification, and outputting a rule violation item list; invoking a collision detection sub-engine, and carrying out spatial interference analysis on multi-specialty three-dimensional entities in the composite drawing file data by adopting a voxelized spatial segmentation algorithm according to a spatial hierarchy relation defined by the topological dependency relation matrix to output a spatial collision conflict coordinate set; and integrating the geometric feature deviation data set, the rule violation entry list and the space collision conflict coordinate set, and carrying out normalization processing according to a preset format to form a preliminary identification report.
4. The method for nested recognition and check of a system base map based on artificial intelligence according to claim 3, wherein the automatically performing result mapping and integration based on the preliminary recognition report to obtain a structured check conclusion comprises: Automatically comparing each item of data in the preliminary identification report with preset multilevel matching threshold parameters; if the comparison result is within the allowable threshold range, generating and rendering a passing state mark at the corresponding coordinate position of the composite drawing file data; if the comparison result exceeds the allowable threshold, the system generates highlight early warning block diagram data according to the error type and automatically associates a solution knowledge base in the nested base map database to generate a modification suggestion text; And integrating all the through state marks, highlight early warning block diagram shape data and modification suggestion text, and generating a structured check conclusion according to a report template defined by the system base diagram data structure.
5. The method for nested recognition and check of system base graph based on artificial intelligence according to claim 1, wherein the automatically triggering the corresponding processing mechanism instruction according to the error level in the structured check conclusion to execute the check flow comprises: according to a preset error classification-strategy mapping table, automatically classifying the error types in the structural check conclusion into general errors or major conflicts; For general errors, automatically generating a layer local locking instruction to limit editing of an error area, and synchronously starting a correction countdown monitoring task; For major conflict, automatically triggering a three-level interlocking processing instruction sequence, wherein the three-level interlocking processing instruction sequence sequentially comprises the steps of generating a full-graph association freezing instruction to lock editing and circulation authorities of all related drawings, generating an alarm pushing instruction to a preset approval node system account, generating a cross-major countersignature flow creation instruction, and automatically assigning countersignature tasks; And continuously monitoring the execution feedback of the processing mechanism instruction, and maintaining the corresponding check flow control state before receiving the AI rechecking passing signal corresponding to the error item.
6. The system base map nested identification check method based on artificial intelligence according to claim 3, wherein the method further comprises: continuously monitoring version state identifiers of all upstream base graphs associated with the current composite graph file data according to the topology dependency relation matrix; when the version state identification of any upstream base map is detected to be changed, automatically calling a version comparison engine, analyzing the change content and generating a design change influence analysis report; Based on the design change influence analysis report and combining the logic link and the topology dependency relation matrix, evaluating the influence level of change on specific design elements in the current composite drawing file data; generating a nesting adaptation suggestion report according to the influence level, wherein the nesting adaptation suggestion report comprises a picture file area and an associated design key point identifier, and the picture file area is needed to be subjected to nesting and checking again; Updating the state of the current composite drawing file data to be re-nested, and pushing a forced re-checking notification instruction to the related responsible node system account according to the influence level.
7. The system base map nested identification check method based on artificial intelligence according to any one of claims 1 to 5, wherein the method further comprises: capturing each key operation event from building the system base graph data structure to generating the structural check conclusion to form an operation event chain, wherein the operation event chain carries a time stamp; Generating event feature hash values based on core data of each event in the operation event chain, wherein the core data comprises operation contents, execution contexts and hash digests of input and output data; uploading the event characteristic hash value to a blockchain storage certification network in real time for distributed storage; When a quality tracing request is initiated, a complete trusted operation history chain is retrieved and restored from the blockchain certification network according to the global unique version identifier or the time range; And dynamically generating and displaying a visualized full-flow tracing path diagram in a graphical interface based on the trusted operation history chain, wherein all approval nodes, flow reject points and associated design modification operations are highlighted in the visualized full-flow tracing path diagram.
8. An artificial intelligence based system base map nested identification and verification system, wherein the artificial intelligence based system base map nested identification and verification system is applied to the artificial intelligence based system base map nested identification and verification method as set forth in any one of claims 1 to 7, the system comprising: The system comprises a construction module, a verification module and a verification module, wherein the construction module is used for constructing a system base map data structure and a nested base map database, the system base map data structure is used for defining a data organization format and a version management framework of an editable basic album, and the nested base map database stores a read-only standard album for verification reference and a verification rule knowledge base related to the read-only standard album The nesting module is used for responding to the checking instruction, searching the matched standard base diagram from the nested base diagram database according to the current design stage identification, and automatically nesting the standard base diagram into the current system base diagram in a space matching mode based on the system base diagram data structure so as to generate composite diagram file data; The output module is used for calling an artificial intelligent recognition engine to automatically recognize the composite image file data according to the checking rules in the nested base image database, and generating a preliminary recognition report, wherein the preliminary recognition report comprises an error type, a coordinate position and a violation rule number; The processing module is used for automatically carrying out result mapping and integration based on the preliminary identification report to obtain a structural check conclusion, wherein the structural check conclusion comprises an error level, an error positioning frame and a modification suggestion; the execution module is used for automatically triggering corresponding processing mechanism instructions according to the error level in the structural check conclusion so as to execute a check flow; And the control module is used for automatically generating a backtracking path diagram according to the reject instruction and the operation history stored in the system base diagram data structure if the check flow is rejected by the authorized node, and resetting the flow state to a specified stage.
9. An artificial intelligence based system base map nested identification and check device is characterized by comprising a memory, a processor and an artificial intelligence based system base map nested identification and check program which is stored on the memory and can run on the processor, wherein the artificial intelligence based system base map nested identification and check program is configured to realize the steps of the artificial intelligence based system base map nested identification and check method according to any one of claims 1 to 7.
10. A storage medium, wherein the storage medium stores an artificial intelligence-based system base map nested identification verification program, and the artificial intelligence-based system base map nested identification verification program implements the steps of the artificial intelligence-based system base map nested identification verification method according to any one of claims 1 to 7 when executed by a processor.

Description

System base map nested identification checking method and system based on artificial intelligence Technical Field The invention relates to the technical field of engineering design automation and artificial intelligence, in particular to a system base map nested identification checking method and system based on artificial intelligence. Background In engineering design, downstream professional design is generally limited by upstream professional investment, and sometimes the upstream professional is repeatedly modified and invested for a plurality of times, so that the workload of repeated modification, check, countersignature and docking communication with a construction unit exists in the engineering drawing of the downstream professional part. In the process of engineering bid-drawing construction diagram, construction diagram design checking and engineering standard-reaching production, the checking quality control standards of all design roles are not uniform, and various hidden errors (small size, collision, omission and the like) exist in the drawing, so that the situation of design change is still more. Design change occurs, so that the design efficiency, the design quality and the service quality of a designer are reduced, repeated, redundant and complicated workload of the designer is increased, the design productivity is low, the quality of a finished product of the design, the overall design node and the performance reputation of the engineering are affected, the possibility of reworking exists partially, the on-site construction progress is restricted, and the smooth production of the engineering and the engineering provide quality goods or brilliant are further affected. In the traditional engineering design flow, the defects of non-uniform checking standard, difficult quality control, repeated and low-efficiency checking work, low design productivity, undefined change influence range and delayed linkage updating exist. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The invention mainly aims to provide a system base map nested identification checking method and system based on artificial intelligence, and aims to solve the technical problems of high labor production cost, more repeated workload, low submitting labor productivity and low per capita capacity in the traditional engineering design flow. In order to achieve the above purpose, the invention provides an artificial intelligence based system base map nested identification and verification method, which comprises the following steps: Constructing a system base map data structure and a nested base map database, wherein the system base map data structure is used for defining a data organization format and a version management framework of an editable basic album, and the nested base map database stores a read-only standard album for checking and referencing and an associated checking rule knowledge base thereof Responding to a checking instruction, searching a matched standard base diagram from the nested base diagram database according to the current design stage identification, and automatically nesting the standard base diagram into the current system base diagram in a space matching mode based on the system base diagram data structure so as to generate composite diagram file data; An artificial intelligent recognition engine is called to automatically recognize the composite image file data according to the checking rules in the nested base image database, and a preliminary recognition report is generated, wherein the preliminary recognition report comprises error types, coordinate positions and violation rule numbers; Automatically performing result mapping and integration based on the preliminary identification report to obtain a structural check conclusion, wherein the structural check conclusion comprises an error level, an error positioning frame and a modification suggestion; According to the error level in the structural check conclusion, a corresponding processing mechanism instruction is automatically triggered to execute a check flow; If the checking flow is rejected by the authorized node, automatically generating a backtracking path diagram according to the rejection instruction and the operation history stored in the system base diagram data structure, and resetting the flow state to a specified stage. In one embodiment, the searching the matched standard base graph from the nested base graph database according to the current design stage identification, and automatically nesting the standard base graph into the current system base graph in a space matching manner based on the system base graph data structure to generate composite graph file data includes: Analyzing metadata of a current system base map, and extracting a current design st