Ground engineering construction quality supervision digital delivery system

Abstract

The invention discloses a ground engineering construction quality supervision digital delivery system, which relates to the technical field of engineering supervision, and comprises the steps of generation and multi-source data checking, activity record structuring and anti-verification before hiding, space-time reference unification and point cloud fusion playback, rule checking and differential rectification, and object-level marshalling delivery and asset authority management. According to the method, a unified data pool, activities, events and evidence chains are constructed through object codes to achieve time-space consistent association, image, point cloud and detection consistency check is conducted before hiding, blocking difference and unified reference fusion point cloud are generated, indexes support three-dimensional playback, rule base batch check is conducted, and issuing rectification is conducted. And the object-level delivery list and fingerprints support cross-platform identification and auditing to form a traceable link.

Description

Technical Field

[0001] This invention relates to the field of engineering supervision technology, and in particular to a digital delivery system for supervising the quality of ground engineering construction. Background Technology

[0002] Ground engineering construction involves collaboration across multiple disciplines, including roads, stations, and underground pipelines, resulting in heterogeneous information such as design data, construction records, inspection reports, images, and point clouds. However, existing technologies generally lack a unified data pool with object codes as the primary key. This leads to a lack of stable association between object attributes, activity records, and event records and specific object instances and their temporal and spatial locations. Images, point clouds, and inspection conclusions from the concealed works phase are not strongly bound to object codes. There is a lack of mandatory consistency verification before closure, making post-event traceability difficult. BIM, GIS, and point clouds operate independently, failing to achieve integration and benchmark unification at the object code level. The 3D interface struggles to accurately replay the construction and rectification process. Quality verification relies on manual spot checks, lacking textual rule bases, threshold bases, and version management. Differential entries and rectification loops lack auditable links. Delivery remains at the level of document handover, with delivery lists lacking object-level indexes and integrity fingerprints. Cross-platform identification and retrieval are unstable. Phased quality audits and trial use feedback are difficult to integrate with evidence chain summaries, rule versions, and the unified data pool, affecting the objectivity and verifiability of the final acceptance.

[0003] Currently, Chinese invention patent application number 202311180337.0 discloses a digital delivery analysis and management system for coal construction projects, relating to the field of digital delivery technology for coal construction projects. Specifically, the system discloses a digital delivery analysis and management system for coal construction projects, comprising: a mine area division module, a mine explosion-proof monitoring and analysis module, a cloud database, a mine fire prevention monitoring and analysis module, and a mine safety delivery analysis module. By constructing a three-dimensional information model of the target mine and analyzing the explosion-proof performance evaluation index and the working accuracy of the fire prevention equipment, the system determines whether the target mine can be delivered. This effectively solves the limitations of current delivery safety testing based on explosion-proof and fire prevention measures, ensuring the safety of construction personnel, reducing the possibility of accidents, ensuring the safe operation of coal construction projects, providing a clear direction for subsequent adjustments and improvements to mining projects, and improving the mining efficiency and quality of mining projects.

[0004] The aforementioned technologies struggle to use object encoding as the primary key to achieve object-level spatiotemporal consistency association between multi-source data and activities, events, images, point clouds, and detection, and to enforce consistency verification and differential closure before concealment, while simultaneously completing point cloud fusion, rule-based batch quality verification, and object-level auditable delivery. Summary of the Invention

[0005] The technical problem solved by this invention is that existing technologies are unable to use object encoding as the primary key to achieve object-level spatiotemporal consistency association between multi-source data and activities, events, images, point clouds and detection, and to force consistency verification and differential closure before concealment, while simultaneously completing point cloud fusion and rule-based batch quality verification and object-level auditable delivery.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: A digital delivery system for quality supervision of ground engineering construction includes a data access and encoding module, an evidence chain collection and quality inspection module, a digital twin construction module, a rule engine evaluation module, a delivery asset management module, and a quality audit and acceptance module. The data access encoding module is used to generate and verify multi-source data. The evidence chain collection and quality inspection module is used for structuring activity records and pre-concealed counter-evidence. The digital twin construction module is used for spatiotemporal benchmark unification and point cloud fusion playback; The rule engine evaluation module is used for rule verification and differential rectification. The delivery asset management module is used for object-level group delivery and asset access management; The quality audit and acceptance module is used for progress-triggered acceptance and trial use tracking and certification.

[0007] Preferably, the data access encoding module includes a PBS generation unit, a multi-source data access unit, and an encoding rule engine unit; The PBS generation unit generates an object tree and establishes a one-to-one correspondence between object instances and object codes, registers object names, location information, basic parameters, and forms a basic parameter draft. The multi-source data access unit accesses design data, construction records, supervision records, test reports, quality supervision records, construction unit instructions and sensor acquisition streams through a unified interface, and binds them with object codes, data sources, responsible entities and acquisition timestamps. Duplicate data is deduplicated or different entries are retained based on object codes and timestamps. The coding rule engine unit checks the consistency of object naming, spatial consistency of location information, consistency of basic parameters and design parameters, and completeness of required fields based on coding and naming specifications. For non-compliant items, it generates an error correction list and rectification deadline, outputs the review results, and writes them to the audit log.

[0008] Preferably, the evidence chain collection and quality inspection module includes an activity record structured unit, a concealed engineering counter-evidence unit, and a consistency and integrity verification unit; The activity record structured unit collects activities according to fixed fields. The activities include excavation, subbase, pouring, compaction, welding, backfilling, on-site supervision and parallel inspection. The record records the corresponding work type, process segment range, materials, equipment, work team, witnessing method and collection medium of the activity, and binds it with object code, time point and responsible entity. The concealed engineering counter-evidence unit compares the consistency of activity records, inspection reports, image records, point cloud records with the same object instance before closure. If there is inconsistency or missing elements, closure is prevented and a differential list is generated. The consistency and integrity verification unit performs number compliance, field completeness, and cross-record consistency verification on activity records, event records, and object attributes, outputs the verification results and writes them to the audit log. After rectification is passed, the status is changed to pass and the original trajectory is retained.

[0009] Preferably, the concealed engineering counter-evidence unit uses the object code as a unique index to verify the detection conclusion, image record and point cloud record; The test results are consistent with the operational elements, the scope of the inspection batch, and the description of the test method; The video recordings must be identifiable from a specific perspective, have recognizable boundaries, and be consistent with the construction time point, and must be labeled with object codes or reconstructible spatial references; Point cloud records are the density of objects that fall within the object's range under a unified spatiotemporal reference and have identifiable structural boundaries and elevation features. Occlusions or gaps are handled through supplementary sampling and written descriptions. If a mismatch occurs, a differential entry is generated, specifying the object code, problem category, responsible party, and rectification deadline. The unified data pool marks it as failing. Only after rectification and successful review can the evidence chain summary and audit mark be sealed.

[0010] Preferably, the digital twin construction module includes a spatiotemporal reference unification unit, a point cloud fusion unit, and an object-level time synchronization unit; The unified spatiotemporal reference unit binds coordinate and elevation references to object instances and activity records during data entry and records the source, conversion parameters, and verification results. The point cloud fusion unit performs sequential verification in the object encoding dimension. The sequential verification includes object encoding consistency, spatial envelope matching, and key feature consistency. If the sequential verification is not met, a difference item is formed and the original-fusion correspondence is retained. The object-level time synchronization unit establishes an index, which includes object code, time index and spatial location. It generates a playback sequence according to timestamp. The playback sequence supports filtering and display by process, inspection and rectification. When timestamp is missing or conflicting, a time consistency review is triggered. After the review is passed, the index is updated.

[0011] Preferably, the rule engine evaluation module includes a rule base and threshold base unit, a batch verification and differential generation unit, and a version and audit unit; The rule base and threshold base units maintain object attribute compliance rules, process time limit rules, detection coverage rules and document attribute rules with text rule entries, and record rule identifier, applicable object, judgment element, allowable deviation or value set, time limit requirement, reference basis, responsible role, activation status, effective range and priority. The batch verification and differential generation unit compares objects sequentially at the object instance level. The sequence is object attribute compliance, process coverage, time limit compliance, detection coverage, document attributes, and cross-modal association. It forms verification records and generates blocking or early warning differential entries, issues rectification instructions, and specifies the responsible entity, rectification period, and reviewer. The version and audit unit record rule changes and before-and-after comparisons. The version and audit unit support replaying the verification results according to the rule version and forming a traceability chain. The traceability chain includes object code, rule version, differential record, rectification record, review record and sealing mark.

[0012] Preferably, the text processing logic of the batch verification and difference generation unit is as follows: Verify the unique mapping and evolution of object codes and object names; Verify the spatial consistency between the location information and the design envelope, and refer to the unified spatiotemporal reference and object scope; Verify the consistency between the basic parameters and the set of values ​​allowed by the design, and record the collection time and the responsible party. Approval records should be attached for alternative materials or temporary parameters. Verify the compliance of the required procedures with the time window, which is determined by the schedule, the time limit of the procedures, and the requirements for supervision and witnessing. Verify that the event records and test reports are effectively linked to the event records on a one-to-one or one-to-many basis and that they have evidentiary references and original media fingerprints; If any judgment fails, a differential entry is generated and suggested corrective actions are given. When the differential is closed, the original judgment, supplementary evidence and final conclusion are retained at the same time.

[0013] Preferably, the delivery asset management module includes a delivery grouping unit, an assetization and authorization unit, and a multi-party delivery interface unit; The delivery grouping unit collects object attributes, activity records, event records, 3D fragments and audit reports according to object codes, forming a delivery list with object codes as the main index and time and space as secondary indexes, and records the data source, collection time, responsible party and evidence citation, and generates verification summary and integrity fingerprint; The assetization and authorization unit registration and delivery list is a data asset, which records the asset identifier, object code range, version number, effective period, retention policy, visibility range and usage permissions. Historical versions and reference relationships are retained for revoked or replaced assets, and access is written to the audit log. The multi-party delivery interface unit provides query, retrieval, and download capabilities using object encoding as the public primary key, and publishes index mappings to ensure the fixed association and cross-platform recognizability of structured, semi-structured, and unstructured data.

[0014] Preferably, when the delivery grouping unit outputs the delivery list, it organizes structured data, semi-structured data, and unstructured data according to object codes: Structured data is expressed in object attribute tables, which include object code, object name, location information, basic parameters, activity summary, event summary, data source, collection time, responsible entity, version number, and rule version identifier. Fields follow a unified naming convention and are accompanied by an architecture version. Semi-structured data is expressed as 3D model fragments or graphical process fragments, recording object codes, spatial envelopes, key feature identifiers, display levels and view poses, and establishing bidirectional and temporal indexes with object codes; Unstructured data is expressed as reports, photos, and videos, with source tags, collection time, collection location or object scope, responsible party, original media fingerprint and integrity verification information. Reports record titles and page numbers, and photos and videos record shooting parameters and thumbnail references. The structured data, semi-structured data, and unstructured data are linked in a fixed way at the object level and written into a unified index. When exported, a directory list and an integrity fingerprint are generated.

[0015] Preferably, the quality audit and acceptance module includes a stage triggering unit, a trial use and overall acceptance unit, and a responsibility closed-loop unit; The stage triggering unit automatically initiates stage acceptance when the progress reaches a preset proportion or a key milestone is reached, and generates a list of objects to be reviewed based on the object code. The list includes the scope of objects to be accepted, the corresponding activity records and test report list, the completeness status of the evidence chain summary, the unclosed differential items and rectification period, the responsible party and witnessing requirements, the planned time window and on-site review arrangements. During the trial use period, the trial use and overall acceptance unit tracks event records and rectification records and forms an object coding dimension tracking ledger. After the trial use period, the unit summarizes and generates an overall acceptance report and certificate entries. The overall acceptance report includes an object coverage matrix, rule version and verification results, rectification closed-loop list and legacy issue ledger, operation restrictions and maintenance suggestions, certificate entry validity conditions and invalidation conditions. The certificate entries record the object coding range, issuance time, validity period, issuance basis and supplementary restrictions, and establish a reference relationship with the delivery list. The closed-loop responsibility unit binds the audit opinions and rectification conclusions with the object codes and responsible entities, records the time of submission, response time, processing conclusion and review conclusion, and seals the opinion text, evidence citations and status evolution in the audit log.

[0016] The beneficial effects of this invention are as follows: This invention constructs a unified data pool using object encoding, achieves spatiotemporal consistency association of activities, events, and evidence chains, verifies the consistency of images, point clouds, and detections before concealment and generates a blockable differential, fuses point clouds with a unified benchmark, supports 3D playback with indexes, conducts batch verification of the rule base and issues rectification orders, and supports cross-platform identification and auditing with object-level delivery lists and fingerprints, forming a traceable link. Attached Figure Description

[0017] Figure 1 This is a basic flowchart of a digital delivery system for quality supervision of ground engineering construction provided as an embodiment of the present invention. Detailed Implementation

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0019] Example, refer to Figure 1 This paper presents a digital delivery system for quality supervision of ground engineering construction, including a data access and encoding module, an evidence chain collection and quality inspection module, a digital twin construction module, a rule engine evaluation module, a delivery asset management module, and a quality audit and acceptance module. The data access encoding module is used to generate and verify multi-source data.

[0020] The evidence chain collection and quality inspection module is used for structuring activity records and pre-concealed rebuttal evidence.

[0021] The digital twin building block is used for spatiotemporal benchmark unification and point cloud fusion playback.

[0022] The rule engine evaluation module is used for rule verification and differential rectification.

[0023] The delivery asset management module is used for object-level grouping delivery and asset access management.

[0024] The quality audit and acceptance module is used for progress-triggered acceptance and trial use tracking and certification.

[0025] This invention constructs a unified data pool using object encoding, achieves spatiotemporal consistency association of activities, events, and evidence chains, verifies the consistency of images, point clouds, and detections before concealment and generates a blockable differential, fuses point clouds with a unified benchmark, supports 3D playback with indexes, conducts batch verification of the rule base and issues rectification orders, and supports cross-platform identification and auditing with object-level delivery lists and fingerprints, forming a traceable link.

[0026] The data access and encoding module includes a PBS generation unit, a multi-source data access unit, and an encoding rule engine unit.

[0027] The PBS generation unit generates an object tree and establishes a one-to-one correspondence between object instances and object codes, registers object names, location information, basic parameters, and forms a basic parameter draft.

[0028] The PBS generation unit forms a complete object tree, establishes a one-to-one correspondence between object instances and object codes, generates a basic parameter draft containing object names, location information and basic parameters, and establishes an object-level index for subsequent collection and verification.

[0029] The multi-source data access unit accesses design documents, construction records, supervision records, test reports, quality supervision records, construction unit instructions and sensor acquisition streams through a unified interface, and binds them to object codes, data sources, responsible entities and acquisition timestamps. Duplicate data is deduplicated or retained based on object codes and timestamps.

[0030] The multi-source data access unit inputs design data, construction records, supervision records, test reports, quality supervision records, construction unit instructions and sensor data collection streams into the database through a unified interface, and binds them with object codes, data sources, responsible entities and collection timestamps. It performs deduplication or retention of duplicate data based on object codes and timestamps to form a traceable database set.

[0031] The coding rule engine unit checks the consistency of object naming, spatial consistency of location information, consistency of basic parameters and design parameters, and completeness of required fields based on coding and naming specifications. For non-compliant items, it generates an error correction list and rectification deadline, outputs the review results, and writes them to the audit log.

[0032] The coding rule engine unit performs batch checks on object naming consistency, location information spatial consistency, basic parameter and design parameter consistency, and the completeness of required fields. It outputs a list of non-compliant errors and rectification deadlines, generates pass and fail review statuses and writes them to the audit log, forming an auditable data quality closed loop.

[0033] The data access coding module realizes the unification of object tree and object coding, full multi-source data entry and object-level binding, duplication control and difference retention, coding and naming compliance verification and audit traceability, and outputs object tree, basic parameter draft, unified data pool entry record, error correction list and review results.

[0034] The evidence chain collection quality inspection module includes an activity record structured unit, a hidden works counter-evidence unit, and a consistency and integrity verification unit.

[0035] The activity record structured unit collects activities according to fixed fields. Activities include excavation, subgrade, pouring, compaction, welding, backfilling, on-site supervision and parallel inspection. The record records the corresponding work type, process segment range, materials, equipment, work team, witnessing method and collection medium of the activity, and binds them with object code, time point and responsible entity.

[0036] The structured activity record unit collects operational elements such as excavation, subbase, pouring, compaction, welding, backfilling, on-site supervision, and parallel inspection according to fixed fields. It records the operation type, process segment range, materials, equipment, work team, witnessing method, and collection medium, and binds them with object code, time point, and responsible entity. The output structured activity record serves as the basis for subsequent verification and validation.

[0037] Before closure, the concealed works counter-evidence unit compares the consistency of activity records, inspection reports, image records, point cloud records with the same object instance. If there is inconsistency or missing elements, closure is prevented and a differential list is generated.

[0038] The concealed works counter-evidence unit uses the object code as a unique index to verify the detection conclusions, image records and point cloud records.

[0039] The test results are consistent with the operational elements, the scope of the inspection batch, and the description of the test method.

[0040] The image recordings must be identifiable from a specific perspective, have recognizable boundaries, and be consistent with the construction time point, and must be labeled with object codes or reconstructible spatial references.

[0041] Point cloud records are the density of objects that fall within the object's range under a unified spatiotemporal reference and have identifiable structural boundaries and elevation features. Occlusions or gaps are handled through supplementary sampling and written descriptions.

[0042] If a mismatch occurs, a differential entry is generated, specifying the object code, problem category, responsible party, and rectification deadline. The unified data pool marks it as failing. Only after rectification and successful review can the evidence chain summary and audit mark be sealed.

[0043] Before closure, the concealed works counter-evidence unit compares activity records, inspection reports, image records, and point cloud records using the object code as the unique index. Inspection conclusions must be consistent with the descriptions of work elements, inspection batch scope, and inspection methods. Images must have identifiable viewpoints, identifiable boundaries, and timestamps consistent with the construction time, and be labeled with the object code or a reproducible spatial reference. Point clouds must fall within the object's range under a unified spatiotemporal reference, and their density must meet the requirements for identifying structural boundaries and elevation features. Obstructions or gaps must be addressed through re-sampling or written explanations. If a mismatch occurs, a difference entry is generated, specifying the object code, problem category, responsible party, and rectification deadline. If the entry fails in the unified data pool, the evidence chain summary and audit identifier are sealed after rectification and review.

[0044] The consistency and integrity verification unit performs number compliance, field completeness, and cross-record consistency verification on activity records, event records, and object attributes. It outputs the verification results and writes them to the audit log. After the rectification is approved, the status is changed to "approved" and the original trajectory is retained.

[0045] The consistency and integrity verification unit performs number compliance, field completeness and cross-record consistency verification on activity records, event records and object attributes, outputs pass or fail conclusions and writes them to the audit log. Failed records are updated to pass status after rectification and review, and the original trace and review results are retained for traceability.

[0046] The evidence chain collection and quality inspection module realizes the structuring of activity records, mandatory counter-evidence before concealment, and batch consistency verification, forming evidence chain summaries and differential entries bound to object codes. Records that fail are marked in a unified data pool and sealed with audit marks after closed-loop review.

[0047] The digital twin building blocks include a spatiotemporal reference unification unit, a point cloud fusion unit, and an object-level time synchronization unit.

[0048] When the spatiotemporal reference unified unit is entered into the database, it binds the coordinate reference and elevation reference to the object instance and activity record, and records the source, transformation parameters and verification results.

[0049] When the spatiotemporal reference unified unit is entered into the database, it binds the coordinate reference and elevation reference to the object instance and activity record, and registers the source, transformation parameters and verification results to ensure that the object code and spatial location correspond one-to-one, and supports cross-source data alignment and traceability.

[0050] The point cloud fusion unit performs sequential verification in the object encoding dimension. Sequential verification includes consistency of object encoding, spatial envelope matching, and consistency of key features. If the sequential verification is not met, a difference entry is formed and the original-fusion correspondence is preserved.

[0051] The point cloud fusion unit verifies the point cloud data in the order of consistent object coding, spatial envelope matching, and consistent key features. If any step fails to meet the requirements, a difference entry is generated and the correspondence between the original data and the fusion result is retained. Qualified data is written into the set of locatable objects.

[0052] The object-level time synchronization unit establishes an index, which includes object code, time index and spatial location. It generates a playback sequence by timestamp. The playback sequence supports filtering and display by process, inspection and rectification. When timestamp is missing or conflicting, a time consistency review is triggered. After the review is passed, the index is updated.

[0053] The object-level time synchronization unit establishes a three-element index including object code, time index and spatial location, generates a filterable playback sequence based on timestamp, and triggers time consistency verification when timestamp is missing or conflicting. After the verification is passed, the index is updated and traceable records are maintained.

[0054] The digital twin building module achieves a unified spatiotemporal reference, reliable fusion of point clouds in the object encoding dimension, and object-level temporal indexing. It outputs a set of locatable objects, difference entries and object codes, time indexes, and a playback sequence of spatial locations for subsequent verification, display, and acceptance testing.

[0055] The rule engine evaluation module includes a rule base and threshold base unit, a batch verification and differential generation unit, and a version and audit unit.

[0056] The rule base and threshold base units maintain object attribute compliance rules, process time limit rules, inspection coverage rules and document attribute rules with text rule entries, and record the rule identifier, applicable object, judgment element, allowable deviation or value set, time limit requirement, reference basis, responsible role, activation status, effective range and priority.

[0057] The rule base and threshold base units form a machine-readable set of textual rule entries and thresholds, which fully record the rule identifier, applicable objects, judgment elements, allowable deviations and value sets, time limit requirements, reference basis, responsible role and activation status, effective range, and priority, serving as the sole basis for verification.

[0058] The batch verification and differential generation unit compares objects sequentially at the object instance level, in the following order: object attribute compliance, process coverage, time limit compliance, detection coverage, document attributes, and cross-modal association. This forms verification records and generates blocking or warning differential entries. Rectification instructions are then issued, specifying the responsible party, rectification deadline, and reviewer.

[0059] The text processing logic for batch verification and difference generation units is as follows: Verify the unique mapping and evolution of object encoding and object naming.

[0060] Verify the spatial consistency between the location information and the design envelope, and refer to the unified spatiotemporal reference and object scope.

[0061] Verify the consistency between the basic parameters and the set of values ​​allowed by the design, and record the collection time and the responsible party. Approval records should be attached for alternative materials or temporary parameters.

[0062] Verify the compliance of the required procedures with the time window, which is determined by the schedule, procedure time limits, and supervision witnessing requirements.

[0063] Verify that the event logs and test reports are effectively linked to the activity logs on a one-to-one or one-to-many basis and that they have evidentiary references and original media fingerprints.

[0064] If any judgment fails, a differential entry is generated and suggested corrective actions are given. When the differential is closed, the original judgment, supplementary evidence and final conclusion are retained at the same time.

[0065] The batch verification and differential generation unit compares objects at the object instance level in the order of object attribute compliance, process coverage, time limit compliance, detection coverage, document attributes, and cross-modal association. Specifically, it judges each item according to unique mapping and evolution, spatial consistency, basic parameters and allowed value set, necessary processes and time windows, evidence links and original media fingerprints. If any one fails, a differential entry is generated, a rectification instruction is issued and the responsible party, rectification deadline and reviewer are specified. When differential is closed, the original judgment, supplementary evidence and final conclusion are retained at the same time.

[0066] Version and audit unit records rule changes and before-and-after comparisons. Version and audit units support replaying verification results by rule version and forming a traceability chain. The traceability chain includes object code, rule version, differential record, rectification record, review record and sealing mark.

[0067] Version and audit unit record rule changes and before-and-after comparisons, support replaying verification results by rule version, generate a traceability chain of object code, rule version, differential record, rectification record, review record and sealing mark, and archive the entire process audit log with version information.

[0068] The rule engine evaluation module enables batch quality verification and differential processing based on textual rules and thresholds. It judges object attributes, process coverage, time window, detection coverage, document attributes and cross-modal associations in a predetermined order, automatically generates blocking / early warning differentials and rectification instructions, and retains version comparison and full audit traceability chain.

[0069] The delivery asset management module includes a delivery grouping unit, an assetization and permissions unit, and a multi-party delivery interface unit.

[0070] The delivery grouping unit collects object attributes, activity records, event records, 3D segments, and audit reports according to object codes, forming a delivery list with object codes as the main index and time and space as secondary indexes. It also records the data source, collection time, responsible party, and evidence citation, and generates a verification summary and integrity fingerprint.

[0071] When delivering the delivery list to the delivery group unit, structured data, semi-structured data, and unstructured data are organized by object code: Structured data is expressed in object attribute tables, which include object code, object name, location information, basic parameters, activity summary, event summary, data source, collection time, responsible entity, version number, and rule version identifier. Fields follow a unified naming convention and are accompanied by an architecture version.

[0072] Semi-structured data is expressed as 3D model fragments or graphical process fragments, recording object codes, spatial envelopes, key feature identifiers, display levels and view poses, and establishing bidirectional and temporal indexes with object codes.

[0073] Unstructured data is expressed as reports, photos, and videos, with source tags, collection time, collection location or object scope, responsible party, original media fingerprint and integrity verification information, report record title and page number location, and photo and video record shooting parameters and thumbnail references.

[0074] Structured, semi-structured, and unstructured data are linked at the object level and written into a unified index. When exported, a catalog list and integrity fingerprint are generated.

[0075] The delivery grouping unit collects object attributes, activity records, event records, 3D fragments, and audit reports according to object codes, forming a delivery list with object codes as the main index and time and space as secondary indexes. In the output stage, structured, semi-structured, and unstructured data are organized according to object codes, fixed associations are established at the object dimension and written into a unified index, and a catalog list and integrity fingerprint are generated at the same time.

[0076] The assetization and authorization unit registration and delivery list is a data asset, which records the asset identifier, object code range, version number, effective period, retention policy, visibility range and usage permissions. Historical versions and reference relationships are retained for revoked or replaced assets, and access is written to the audit log.

[0077] The assetization and authorization unit registers the delivery list as data assets, recording asset identifiers, object code ranges, version numbers, effective periods, retention policies, visibility ranges, and usage permissions; it retains historical versions and reference relationships for revocation or replacement cases, and writes each access to the audit log to form a traceable asset file.

[0078] The multi-party delivery interface unit provides query, retrieval, and download capabilities using object encoding as the public primary key, and publishes index mappings to ensure the fixed association and cross-platform recognizability of structured, semi-structured, and unstructured data.

[0079] The multi-party delivery interface unit provides query, retrieval, and download capabilities using object encoding as the common primary key, and publishes index mappings to ensure the fixed association and cross-platform recognizability of structured, semi-structured, and unstructured data, thereby achieving stable integration with supervision, quality control, construction, and operation and maintenance systems.

[0080] The delivery asset management module enables object-level delivery grouping, asset registration, and cross-platform identifiable invocation; it outputs a delivery list containing primary and secondary indexes, a catalog list, and an integrity fingerprint, and establishes a traceable asset library with version, permissions, and audit traces.

[0081] The quality audit and acceptance module includes a phase triggering unit, a trial use and overall acceptance unit, and a responsibility closed-loop unit.

[0082] When the progress reaches a preset percentage or a key milestone is reached, the phase triggering unit automatically initiates phase acceptance and generates a list of objects to be reviewed based on the object code. The list includes the scope of objects to be accepted, the corresponding activity records and test reports, the completeness status of the evidence chain summary, unclosed differential items and rectification deadlines, responsible parties and witnessing requirements, planned time windows and on-site review arrangements.

[0083] The phase triggering unit automatically initiates phase acceptance when the progress reaches a preset percentage or a key milestone is reached; it generates a list of objects to be accepted based on the object code, which includes the scope of objects to be accepted, the corresponding activity records and test reports, the completeness status of the evidence chain summary, unclosed differential items and rectification deadlines, responsible parties and witnessing requirements, planned time windows and on-site review arrangements.

[0084] During the trial use and overall acceptance period, the unit tracks event records and rectification records and forms an object coding dimension tracking ledger. After the trial use period, the unit summarizes and generates an overall acceptance report and certificate entries. The overall acceptance report includes an object coverage matrix, rule version and verification results, rectification closed-loop list and legacy issue ledger, operation restrictions and maintenance suggestions, certificate entry validity conditions and invalidation conditions. Certificate entries record the object coding range, issuance time, validity period, issuance basis and supplementary restrictions, and establish a reference relationship with the delivery list.

[0085] During the trial use and overall acceptance phase, event records and rectification records are continuously tracked and compiled into an object coding dimension tracking ledger. Upon completion, an overall acceptance report and certificate entries are compiled. The overall acceptance report includes the object coverage matrix, rule version and verification results, rectification closed-loop list and legacy issue ledger, operational restrictions and maintenance recommendations, and certificate entry validity and expiration conditions. Certificate entries record the object coding range, issuance time, validity period, issuance basis and additional restrictions, and establish a reference relationship with the delivery list.

[0086] The closed-loop responsibility unit binds the audit opinions and rectification conclusions with the object codes and responsible entities, records the time of submission, response time, processing conclusion and review conclusion, and seals the opinion text, evidence citations and status evolution in the audit log.

[0087] The closed-loop responsibility unit binds the review opinions and rectification conclusions with the object codes and responsible entities, and records the time of submission, response time, processing conclusion and review conclusion; it also stores the opinion texts, evidence citations and status evolution in the audit log to achieve closed-loop management of responsibility tracing and review audits.

[0088] The quality audit and acceptance module enables progress-driven phased acceptance triggering, evidence tracking during trial use, and overall acceptance certification, as well as a closed-loop responsibility system for audit opinions and rectification conclusions and full-process audit traceability. It outputs a list of pending audits, an overall acceptance report, and certificate items, and solidifies object-level traceable records.

[0089] This invention constructs a unified data pool using object encoding as the primary key, and achieves object-level and spatiotemporally consistent association between object attributes, activity records, event records and evidence chain summaries. Before concealment, it performs consistency checks on images, point clouds and detection reports and generates blockable differential entries.

[0090] By unifying the spatiotemporal reference and integrating point clouds, a three-element index of object encoding, time index, and spatial location is established, supporting continuous playback of construction, inspection, and rectification in a three-dimensional interface.

[0091] By introducing a text-based rule base and threshold base, batch verification of attribute compliance, process coverage, time window, detection coverage and cross-modal association are performed in a fixed order, automatically generating differential entries and rectification instructions and retaining version comparisons.

[0092] Deliverables are grouped into object-level delivery lists, and structured, semi-structured, and unstructured data are linked in a fixed way and integrity fingerprints are generated, improving cross-platform identification and audit review capabilities.

[0093] An audit chain is formed, consisting of object codes, rule versions, differential records, rectification records, review records, and sealing identifiers. This enables phased quality audits to work in tandem with trial use feedback and delivery lists, as well as evidence chain summaries. Combined with assetization and access control, it provides controllable access and object-level retrieval for the operation and maintenance phase.

[0094] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0095] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A digital delivery system for ground engineering construction quality supervision, characterized in that, The system comprises a data access coding module, an evidence chain collection and quality inspection module, a digital twin construction module, a rule engine evaluation module, a delivery asset management module, and a quality audit and acceptance module. The data access coding module is used to generate multi-source data verification; The evidence chain collection and quality inspection module is used to structure and conceal pre-contradictory evidence of activities; The digital twin construction module is used to unify space-time reference and fuse point cloud playback; The rule engine evaluation module is used to rule verification and differential rectification; The delivery asset management module is used for object-level grouping delivery and asset permission management; The quality audit and acceptance module is used for progress-triggered acceptance and trial use tracking evidence.

2. The digital delivery system for quality supervision of ground engineering construction according to claim 1, wherein, The data access coding module comprises a PBS generation unit, a multi-source data access unit, and an encoding rule engine unit; The PBS generation unit generates an object tree and establishes a one-to-one correspondence between object instances and object codes, registers object naming, location information, and basic parameters, and forms a basic parameter draft; The multi-source data access unit accesses design materials, construction records, supervision records, detection reports, quality supervision records, construction unit instructions, and sensor collection streams through a unified interface, and binds them with object codes, data sources, responsible subjects, and collection time points. Repeated data is de-duplicated based on object codes and timestamps or the difference entries are retained; The encoding rule engine unit checks the consistency of object naming, the spatial consistency of location information, the consistency of basic parameters and design parameters, and the completeness of mandatory items according to the coding and naming specifications. Non-compliant items generate a correction list and a rectification period, and the review results are output and written into an audit log.

3. The digital delivery system for quality supervision of ground engineering construction according to claim 2, wherein, The evidence chain collection and quality inspection module comprises an activity record structuring unit, a concealed engineering counter-evidence unit, and a consistency and completeness checking unit; The activity record structuring unit collects activities according to fixed fields, including excavation, bedding, pouring, compaction, welding, backfilling, standing by, and parallel inspection. It records the corresponding job type, process section range, materials, equipment, team, witnessing method, and collection medium, and binds them with object codes, time points, and responsible subjects; The concealed engineering counter-evidence unit compares the consistency of activity records, detection reports, image records, point cloud records, and the same object instance before closing. If they are inconsistent or missing elements, it prevents closing and generates a difference list; The consistency and completeness checking unit performs number compliance, field completeness, and cross-record consistency checks on activity records, event records, and object attributes. The checking results are output and written into an audit log. After rectification, the status is changed to pass and the original track is retained.

4. The digital delivery system for quality supervision of ground engineering construction according to claim 3, characterized in that, The concealed engineering counter-evidence unit checks detection conclusions, image records, and point cloud records with object codes as the only index; The detection conclusion is consistent with the job elements, inspection lot range, and detection method description; The image record meets the requirements of identifiable perspective, identifiable boundary, and consistent time stamp of construction time point, and marks the object code or can restore the spatial reference; The point cloud record falls within the object range under the unified space-time reference and has the density of identifying structural boundaries and elevation characteristics. Obstructions or gaps are handled through supplementary sampling and written explanations. If there is a mismatch, a difference entry is generated and the object code, problem category, responsible subject, rectification period, and uniform data pool annotation are indicated. After rectification, the evidence chain summary and audit identification are sealed.

5. A digital delivery system for quality supervision of ground engineering construction according to claim 4, characterized in that, The digital twin construction module includes a space-time reference unification unit, a point cloud fusion unit, and an object-level time sequence synchronization unit. The space-time reference unification unit binds the coordinate reference and elevation reference for object instances and activity records when warehousing, and records the source, conversion parameters, and verification results. The point cloud fusion unit implements sequential verification in the object code dimension, which includes object code consistency, spatial envelope matching, and key feature consistency. If the sequential verification is not met, a difference entry is formed and the original fusion correspondence is retained. The object-level time sequence synchronization unit establishes an index, which includes object code, time index, and spatial location. Playback sequences are generated according to timestamps, which support filtering and display by process, detection, and rectification. When timestamps are missing or conflicting, time consistency verification is triggered. After verification, the index is updated.

6. A digital delivery system for quality supervision of ground engineering construction according to claim 5, characterized in that, The rule engine evaluation module includes a rule library and threshold library unit, a batch verification and difference generation unit, and a version and audit unit. The rule library and threshold library unit maintains object attribute compliance rules, process time limit rules, detection coverage rules, and document attribute rules in the form of text rule entries. It records rule identification, applicable objects, decision elements, allowed deviations or value sets, time limit requirements, reference basis, responsible roles, enabled state, effective interval, and priority. The batch verification and difference generation unit performs sequential comparison by object instance granularity. The sequence includes object attribute compliance, process coverage, time limit compliance, detection coverage, document attribute, and cross-modal association. Verification records are formed, and blocking or early warning difference entries are generated. Rectification instructions are issued, and responsible subjects, rectification periods, and review personnel are specified. The version and audit unit records rule changes and comparisons before and after. It supports replaying verification results by rule version and forming a traceability chain, which includes object code, rule version, difference record, rectification record, review record, and sealed identification.

7. The digital delivery system for quality supervision of ground engineering construction according to claim 6, wherein, The text processing logic of the batch verification and difference generation unit is as follows: Check the unique mapping and evolution of object codes and object names. Check the spatial consistency of location information and design envelope, referring to the unified space-time reference and object range. Check the consistency of basic parameters and design allowed value set, and record the collection time and responsible subject. Substitute materials or temporary parameters should be attached with approval records. Check the process coverage and time window compliance. The window is determined by the progress plan, process time limit, and supervision witness requirements. Check the one-to-one or one-to-many effective association between event records and detection reports and activity records, and provide evidence reference and original medium fingerprint. Generate a difference entry and give a suggested rectification action for any failed decision. When the difference is closed, the original decision, supplementary evidence, and final conclusion are also retained.

8. A digital delivery system for quality control of ground engineering construction according to claim 7, characterized in that, The delivery asset management module includes a delivery grouping unit, an assetization and permission unit, and a multi-party delivery interface unit. The delivery grouping unit aggregates object attributes, activity records, event records, three-dimensional segments, and audit reports according to object codes, forms a delivery list indexed by object codes, time, and space, records data sources, collection time points, responsible subjects, and evidence references, generates verification summaries and integrity fingerprints, and forms a delivery list; The assetization and permission unit registers the delivery list as a data asset, records asset identification, object code range, version number, effective interval, retention policy, visibility range, and use permission, retains historical versions and reference relationships for revoked or replaced assets, and records access and write audit logs; The multi-party delivery interface unit provides query, retrieval, and download capabilities using object codes as a common primary key, and publishes index mappings to ensure the fixed association of structured data, semi-structured data, and unstructured data and cross-platform identification.

9. The digital delivery system for quality supervision of ground engineering construction according to claim 8, wherein, The delivery grouping unit organizes structured data, semi-structured data, and unstructured data according to object codes when outputting the delivery list: Structured data is expressed in object attribute tables, including object codes, object names, location information, basic parameters, activity summaries, event summaries, data sources, collection time points, responsible subjects, version numbers, rule version identifiers, fields follow uniform naming conventions, and include architecture versions; Semi-structured data is expressed in three-dimensional model segments or graphical process segments, recording object codes, spatial envelopes, key feature identifiers, display levels, and view poses, and establishing bidirectional indexes with object codes and time indexes; Unstructured data is expressed in report, photo, and video entries, with source labels, collection times, collection locations or object ranges, responsible subjects, original medium fingerprints, and integrity verification information, report records include titles and page number locations, and photo and video records include shooting parameters and thumbnail references; The structured data, semi-structured data, and unstructured data are fixedly associated in the object dimension and written into a unified index, and generate a directory list and integrity fingerprint when exported.

10. The digital delivery system for quality supervision of ground engineering construction according to claim 9, wherein, The quality audit and acceptance module includes a phase triggering unit, a trial use and overall acceptance unit, and a responsibility closure unit; The phase triggering unit automatically initiates phase acceptance when the visual progress reaches a preset proportion or a key milestone is reached, and generates a list of objects to be audited based on object codes, which includes the scope of objects to be audited, corresponding activity records and detection report lists, evidence chain summary integrity status, non-closed difference items and rectification period, responsible subjects and witness requirements, planned time window, and on-site review arrangement; The trial use and overall acceptance unit tracks event records and rectification records during the trial use period and forms an object code dimension tracking account, and generates an overall acceptance report and certificate entry after the period expires, the overall acceptance report includes an object coverage matrix, rule version and review results, rectification closure list and remaining problem account, operation restrictions and maintenance recommendations, certificate entry validity conditions and invalidation conditions, certificate entry records object code range, issuance time, validity period, issuance basis, and attached restrictions, and establishes a reference relationship with the delivery list; The duty closed loop unit binds the auditing opinion and rectification conclusion with the object code and the duty subject, records the proposing time, response time, processing conclusion and review conclusion, and seals the opinion text, evidence reference and state evolution in the audit log.

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