Road zone unit division method and system for digital management and control of highway engineering supervision

Abstract

The application relates to the technical field of digital management and control of highway engineering supervision, and provides a road area unit division method and system for digital management and control of highway engineering supervision, which comprises the following steps: horizontal partitioning and vertical segmenting operation processing of design and geographic information data collected by a terminal via an edge computing node to obtain a basic unit grid database; the edge computing node performs spatial calculation according to a preset algorithm, and generates a unique code for each minimum spatial unit; the calculation result is stored in a central database to form a minimum and uniquely identifiable spatial management unit set taking a stake number interval and horizontal partitioning as cores; a unit relationship list generated by calculation is stored in the central database and is bound with a mobile intelligent terminal account of a specific supervisor; and a comprehensive management view representing the whole bid section is formed. The system comprises a road area division module, a grid processing module and a result display module. The application solves problems such as fuzzy spatial positioning in the traditional mode.

Description

Technical Field

[0001] This invention relates to the field of digital management and control technology for highway engineering supervision, and in particular to a method and system for dividing road area units for digital management and control of highway engineering supervision. It is especially suitable for the construction of digital supervision platforms for linear projects such as expressways and national and provincial highways, improving the digital level of quality, safety, and quantity management. Background Technology

[0002] Currently, highway engineering supervision still primarily employs traditional manual management methods, which suffer from problems such as inaccurate spatial positioning, fragmented business data, and coarse-grained management. Problem descriptions in highway engineering supervision often rely on vague location markers, lacking a standardized spatial reference system, leading to low efficiency in problem location and difficulties in tracing responsibility. Furthermore, business data such as quality inspection, safety patrols, and quantity calculations are independent and difficult to directly correlate with the spatial location of the project, hindering comprehensive analysis. While existing digital technologies have partially addressed visualization needs, GIS / BIM systems primarily focus on 3D display and have failed to establish a grid-based management mechanism deeply integrated with supervision operations. Moreover, the natural linear reference benchmark of highway design stationings has not been fully utilized. There is an urgent need to establish a digital management system that integrates precise spatial positioning, business data correlation, and dynamic adjustment to drive the transformation of highway engineering supervision from experience-based management to data-driven approaches.

[0003] Existing technology 1, Publication No. CN120355239A, discloses a method and system for assessing the roadside environment safety during the construction period of highway engineering. The method includes: acquiring multi-source sensing data of the roadside environment during the construction period of highway engineering; inputting the multi-source sensing data into a multi-scale time-sensing coding module to obtain sequence features of macro-scale satellite and micro-scale UAV; inputting the sequence features into a multi-modal fusion Transformer module to obtain a multi-scale fourth feature; inputting the multi-scale fourth feature into a change detection module to obtain a change annotation map and a first change event log; and constructing a risk warning module based on the change annotation map and the first change event log to obtain a second change event log. Although the fusion of multi-source data from satellite remote sensing and UAV images enables accurate perception and dynamic monitoring of the roadside environment during the construction period of highway engineering, improving the accuracy and real-time response capability of environmental safety assessment, and is applicable to the field of highway engineering construction and construction safety management, it focuses on dynamic environmental monitoring of remote sensing images but lacks deep coupling with the engineering supervision process.

[0004] Existing technology two, publication number CN119476757A, discloses a method for screening and configuring plant species on roadside slopes of transportation infrastructure, including the following steps: conducting a survey of existing plant species in the area, classifying them into artificial slopes and natural slopes according to their formation methods, and calculating the plant importance value of each plant; using qualitative and quantitative index analysis to screen suitable plant species, determining the weight of plant screening evaluation indicators for a specific area based on the analytic hierarchy process (AHP), and obtaining a plant screening evaluation formula for that specific area; finally, selecting pioneer species, dominant species, and associated species with higher screening scores based on the screening scores; classifying the species according to geological and geomorphological conditions and according to protection methods; and determining the final plant configuration form using a coupling analysis of the vegetation community structure and the target succession community structure in a specific area. Although it can screen pioneer species, dominant species, and associated species suitable for roadside slopes of transportation infrastructure in different typical areas, it focuses on the ecological adaptability of plant configuration and the disconnect between ecological governance and engineering management.

[0005] Existing technology three, publication number CN118898404A, discloses a method and system for assessing and analyzing the ecological sensitivity of highway areas. In the comprehensive assessment and management of the ecological environment along highways, it identifies and analyzes the distribution of ecological factors in different ecosystems, divides monitoring areas, and extracts characteristic parameters. By constructing a Bayesian network model, it determines and calculates the weights of each monitoring area to obtain the overall ecological environment quality index. It uses satellite imagery for time-series analysis to obtain the spatiotemporal changes of ecological factors. Based on fuzzy logic analysis of the overall environmental quality and spatiotemporal changes, it conducts an ecological sensitivity assessment. A sensitive area division module divides high, medium, and low-sensitivity areas according to the assessment results and feeds the results back to management personnel. Although this systematic and scientific assessment method improves the accuracy and efficiency of highway ecological environment management and ensures timely protection and rational development of sensitive areas, the reliance on periodic satellite imagery analysis means that data timeliness needs further improvement.

[0006] Current technologies 1, 2, and 3 suffer from problems such as difficulty in integrating multi-dimensional data, inability to dynamically adapt supervisory responsibilities, overly coarse management granularity, and delayed decision-making response. Therefore, this invention provides a method and system for dividing road area units for digital management and control of highway engineering supervision. Summary of the Invention

[0007] To address the aforementioned technical problems, this invention provides a method for dividing road zone units for digital management and control of highway engineering supervision, comprising the following steps:

[0008] The design and geographic information data collected by the terminal are processed by the edge computing nodes through horizontal partitioning and vertical segmentation to obtain the basic unit grid database. The BIM / CAD model generated by the engineering design terminal and the GIS data collected by the geographic information terminal together constitute the original input for road area division. The edge computing nodes divide the station intervals vertically according to the preset algorithm and perform spatial calculations in the horizontal partitions using an unequal width partitioning strategy, and generate a unique code for each smallest spatial unit. The calculation results are stored in the central database, forming a set of smallest and uniquely identifiable spatial management units with station intervals and horizontal partitions as the core.

[0009] The basic unit grid database is managed by the platform server. Based on the supervisor's responsibility scope set by the administrator through the terminal, the grid aggregation algorithm is run to logically merge or split a series of continuous basic grids. The calculated unit relationship list is stored in the central database and bound to the mobile smart terminal account of the specific supervisor.

[0010] Optionally, the process of generating a unique code for each smallest spatial unit includes the following steps:

[0011] The longitudinal section is divided along the route with a preset length; the road area is divided into N transverse sections by using an unequal width division strategy in the cross section, covering the roadbed and ancillary facilities area; a strip grid unit system is established based on the highway design station number.

[0012] Extract the highway number and the section number within the project from the basic highway attributes, determine the route direction symbol based on the spatial location data, obtain the start and end station number range of the grid from the spatial calculation results, and finally attach the partition identifier representing the specific lateral location.

[0013] The highway number, section number, direction symbol, station number interval, and lateral partition identifier are combined with separators according to predetermined rules to generate a structured code for each basic grid.

[0014] Optionally, the longitudinal interval length ΔL is an adjustable parameter of 10-100 meters, which can be dynamically configured according to the needs of the supervision business.

[0015] Optionally, the horizontal partitions can use an unequal width strategy, with the partition width... satisfy:

[0016]

[0017] in The weighting coefficients are determined by the characteristics of the roadbed structure and satisfy the following conditions: ; This represents the maximum width of the selected cross-section construction area.

[0018] Optional, a dynamic mesh reconstruction mechanism automatically reconstructs the mesh when any of the following conditions are triggered:

[0019] Design changes caused station offset > / 2; Adjustment ratio of the scope of supervisory responsibility >30%; Statistical error in project quantity >5%.

[0020] Optionally, the process of generating a structured code for each base grid includes the following steps:

[0021] The spatial data output from the established strip grid unit system is subjected to structured analysis. The original data of the station intervals generated by the vertical interval division is paired and coupled with the original data of the horizontal partition identifiers determined by the horizontal unequal width partitions to form the core spatial attribute tuple of each smallest spatial unit;

[0022] The system calls up the highway number data block and section number data block extracted from the highway basic attribute library, and simultaneously accesses the direction symbol data block output by the spatial computing service; the system performs the first data fusion of the highway number data block, section number data block and direction symbol data block with the obtained core spatial attribute tuple to generate an enhanced spatial identifier description body containing both management and spatial attributes;

[0023] The highway number and section number are converted into standard abbreviation format, the directional symbols are unified into standardized orientation codes, the station intervals are converted into compact continuous representations, and the lateral partition identifiers are converted into standard partition codes. The formatted data elements are combined and spliced ​​in hierarchical order with specific delimiters to output a globally unique structured grid code.

[0024] Optionally, the process of generating an enhanced spatial identifier descriptor that includes both administrative and spatial attributes includes the following steps:

[0025] The highway number data block and the section number data block are standardized and preprocessed to form a unified management identification data group. At the same time, the directional symbol data block is parsed for directional features to generate a directional description data group with directional semantics.

[0026] The preprocessed management identification data set and orientation description data set are associated with the generated core spatial attribute tuples in multiple dimensions. By establishing a mapping relationship between management attributes and spatial attributes, the highway management identification, the management scope of the section, and the specific spatial location information are deeply coupled to form a space-management coupling body containing complete management attributes and precise spatial positioning.

[0027] The spatial-management coupling is subjected to consistency verification and structured reorganization, ensuring the logical correlation and business rationality between each data element, and outputting an enhanced spatial identifier description that simultaneously possesses management attributes and spatial characteristics.

[0028] Optionally, the process of forming a space-management coupling entity that includes complete management attributes and precise spatial positioning includes the following steps:

[0029] The generated management identifier data set and location description data set are jointly parsed. The management domain feature elements are extracted through the identifier parsing service, and the spatial domain feature elements are extracted from the core spatial attribute tuple to form their respective independent feature sets.

[0030] Establish a correspondence between the feature elements of the management domain and the feature elements of the spatial domain; assign spatial coordinate references to each management identifier, and inject management attribute identifiers into each spatial unit to create a bidirectional index relationship between management attributes and spatial location, generating a preliminary attribute-spatial association matrix;

[0031] The data coupling processor performs integrity verification and logical consistency checks on the attribute-spatial association matrix. Each management unit has a corresponding spatial representation, and each spatial unit has a clear management affiliation. The output contains both precise spatial coordinates and complete management information in a spatial-management coupling body.

[0032] Optionally, it also includes inspection records, acceptance results, and real-time data collected by sensor terminals reported by the supervisors' mobile terminal App. The platform server aggregates and calculates the data of all responsible units, covering the start and end chainage of the section, and performs quantitative statistics on indicators. The statistical results are presented in the form of visual charts on the project manager's terminal or large screen command center, forming a comprehensive management view representing the entire section.

[0033] This invention provides a road area unit division system for digital management and control of highway engineering supervision, and the method for implementing the road area unit division for digital management and control of highway engineering supervision includes:

[0034] The road zone division module is used to process the design and geographic information data collected by the terminal through edge computing nodes, performing horizontal partitioning and vertical segmentation operations to obtain a basic unit grid database. The BIM / CAD model generated by the engineering design terminal and the GIS data collected by the geographic information terminal together constitute the original input for road zone division. According to the preset algorithm, the edge computing nodes divide the station intervals vertically according to the preset length, and perform spatial calculations in the horizontal partitions using an unequal width partitioning strategy, generating a unique code for each smallest spatial unit. The calculation results are stored in the central database, forming a set of smallest, uniquely identifiable spatial management units with station intervals and horizontal partitions as the core.

[0035] The grid processing module is used for grid management via the platform server from the basic unit grid database. Based on the supervisor's responsibility scope set by the administrator through the terminal, it runs the grid aggregation algorithm to logically merge or split a series of continuous basic grids. The calculated unit relationship list is stored in the central database and bound to the mobile smart terminal account of the specific supervisor.

[0036] The results display module displays the inspection records, acceptance results, and real-time data collected by sensor terminals reported by the supervisors' mobile terminal App. The platform server aggregates and calculates the data of all responsible units, covering the start and end chainages of the section, and performs quantitative statistics on indicators. The statistical results are presented in the form of visual charts on the project manager's terminal or large-screen command center, forming a comprehensive management view representing the entire section.

[0037] This invention achieves precise digital management and control of highway engineering supervision through a three-step collaborative process: First, spatial gridding based on edge computing decomposes the engineering area into uniquely identifiable minimum management units, establishing a standardized spatial benchmark for subsequent management and control; second, dynamic grid aggregation enables flexible configuration of supervision responsibility areas, ensuring full management coverage while avoiding responsibility gaps; finally, multi-source data fusion analysis generates a section-level visualized decision-making view, allowing managers to grasp the overall picture of the project in real time. The overall technical effect is reflected in the construction of a full-chain digital supervision system encompassing refined spatial units, intelligent responsibility configuration, and data-driven regulatory decisions, significantly improving the granularity, response speed, and scientific nature of engineering management. This embodiment establishes strip-shaped grid units based on a stationing system to achieve gridded and standardized management of supervision operations, thereby enabling quantitative management at the section and project levels and solving problems such as ambiguous spatial positioning in traditional models.

[0038] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0039] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0040] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0041] Figure 1 This is a flowchart of the road area unit division method for digital management and control of highway engineering supervision in Embodiment 1 of the present invention;

[0042] Figure 2 This is a schematic diagram of the road area unit division method for digital management and control of highway engineering supervision in Embodiment 1 of the present invention;

[0043] Figure 3 A flowchart illustrating the process of generating a unique code for each smallest spatial unit in Embodiment 2 of the present invention;

[0044] Figure 4 This is a flowchart illustrating the process of storing the unit relationship list calculated and generated in Embodiment 6 of the present invention in the central database;

[0045] Figure 5 This is a flowchart illustrating the process of the platform server aggregating and calculating data from all responsible units in Embodiment 7 of the present invention.

[0046] Figure 6 This is a block diagram of the road area unit division system for digital management and control of highway engineering supervision in Embodiment 8 of the present invention;

[0047] Figure 7 This is a flowchart of the digital management and grid-based method for road engineering supervision in Embodiment 8 of the present invention;

[0048] Figure 8 This is a schematic diagram of the three-level mesh aggregation method in Embodiment 8 of the present invention;

[0049] Figure 9 This is a schematic diagram of highway grid division in Embodiment 8 of the present invention. Detailed Implementation

[0050] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0051] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of this application. The singular forms “a,” “the,” and “the” used in the embodiments of this application are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0052] In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application. In the description of this application, it should be understood that the terms "first," "second," "third," etc., are used only to distinguish similar objects and are not necessarily used to describe a specific order or sequence, nor should they be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0053] Example 1: As Figure 1 As shown in the figure, this embodiment of the invention provides a method for dividing road area units for digital management and control of highway engineering supervision, which includes the following steps:

[0054] S100: The design and geographic information data collected by the terminal are processed by the edge computing nodes through horizontal partitioning and vertical segmentation to obtain the basic unit grid database; the BIM / CAD model generated by the engineering design terminal and the GIS data collected by the geographic information terminal together constitute the original input for road area division; the edge computing nodes divide the station intervals vertically according to the preset algorithm and perform spatial calculations in the horizontal partitioning using an unequal width partitioning strategy, and generate a unique code for each smallest spatial unit; the calculation results are stored in the central database, forming a set of smallest, uniquely identifiable spatial management units with station intervals and horizontal partitions as the core;

[0055] S200: The basic unit grid database is managed by the platform server. Based on the supervisor's responsibility scope set by the administrator through the terminal, the grid aggregation algorithm is run to logically merge or split a series of continuous basic grids. The calculated unit relationship list is stored in the central database and bound to the mobile smart terminal account of the specific supervisor.

[0056] S300: Inspection records, acceptance results, and real-time data collected by sensor terminals reported by the supervisors' mobile terminal App are aggregated and calculated by the platform server for all responsible units, covering the start and end chainages of the section, and quantitative statistics are performed. The statistical results are presented in the form of visual charts on the project manager's terminal or large screen command center, forming a comprehensive management view representing the entire section.

[0057] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, the design and geographic information data collected by the terminal are first processed by the edge computing node through horizontal partitioning and vertical segmentation to obtain a basic unit grid database; the BIM / CAD model generated by the engineering design terminal and the GIS data collected by the geographic information terminal together constitute the original input for road area division; the edge computing node divides the station intervals vertically according to a preset algorithm and performs spatial calculations by using an unequal width partitioning strategy for horizontal partitioning, and generates a unique code for each smallest spatial unit; the calculation results are stored in the central database, forming a set of smallest, uniquely identifiable spatial management units with station intervals and horizontal partitions as the core; secondly, the basic unit grid database is then used to perform spatial calculations. The unit grid database, managed by the platform server, runs a grid aggregation algorithm based on the supervisor's responsibility scope set by the administrator via the terminal. This algorithm logically merges or splits a series of continuous basic grids. The generated unit relationship list is stored in the central database and linked to the mobile smart terminal account of the specific supervisor. Finally, the inspection records, acceptance results, and real-time data collected by sensor terminals reported by the supervisor's mobile terminal app are aggregated and calculated by the platform server for all responsible units, covering the start and end chainages of the section, and quantitative statistics are performed. The statistical results are presented in the form of visual charts on the project manager's terminal or large-screen command center, forming a comprehensive management view representing the entire section (the specific principle is as follows). Figure 2 (As shown). The above solution achieves precise digital management and control of highway engineering supervision through three collaborative steps: First, based on edge computing, spatial grid processing decomposes the engineering area into the smallest uniquely identifiable management unit, establishing a standardized spatial benchmark for subsequent management and control; second, dynamic grid aggregation enables flexible configuration of supervision responsibility areas, ensuring full management coverage while avoiding responsibility gaps; finally, multi-source data fusion analysis generates a section-level visualized decision-making view, allowing managers to grasp the overall picture of the project in real time. The overall technical effect is reflected in the construction of a full-chain digital supervision system of refined spatial units, intelligent responsibility configuration, and data-driven supervision decisions, significantly improving the granularity, response speed, and scientific nature of engineering management. This embodiment achieves grid-based and standardized management of supervision business by establishing strip grid units based on the stationing system, thereby realizing quantitative management at the section and project levels and solving problems such as ambiguous spatial positioning in the traditional model.

[0058] This embodiment achieves grid-based and standardized management of supervision business by establishing strip grid units based on the chainage system; it integrates the advantages of spatial positioning, business correlation and dynamic control, and promotes the transformation and upgrading of highway engineering supervision from experience-based management to data-driven management.

[0059] Example 2: As Figure 3As shown, based on Embodiment 1, the process of generating a unique code for each smallest spatial unit provided in this embodiment of the invention includes the following steps:

[0060] S101: Divide the longitudinal section along the route with a preset length; divide the road area into N transverse zones by using an unequal width division strategy in the cross section, covering the roadbed and ancillary facilities area; establish a strip grid unit system based on the highway design station;

[0061] S102: Extract the highway number and the section number within the project from the basic highway attributes, determine the route direction symbol based on the spatial location data, obtain the start and end station number range of the grid from the spatial calculation results, and finally attach the partition identifier representing the specific lateral location.

[0062] S103: Combine highway number, section number, direction symbol, station number interval and lateral partition identifier with separator according to predetermined rules to generate a structured code for each basic grid.

[0063] Among them, the longitudinal interval length ΔL is an adjustable parameter of 10-100 meters, which can be dynamically configured according to the needs of the supervision business;

[0064] The horizontal partitioning uses an unequal width strategy, with the partition width... satisfy:

[0065]

[0066] in The weighting coefficients are determined by the characteristics of the roadbed structure and satisfy the following conditions: ; The maximum width of the selected cross-section construction area;

[0067] The grid coding structure is: highway number + section number + direction symbol + chainage interval + lateral partition identifier (e.g., the section from 103+150 to 103+250 on the north side of the left lane of a certain expressway section 3 is represented as G25-S3-N-K103+150~103+250-L).

[0068] The mesh dynamic reconstruction mechanism automatically reconstructs the mesh when any of the following conditions are triggered:

[0069] (a) Design changes resulting in station offset > / 2;

[0070] (b) Adjustment ratio of the scope of supervisory responsibility >30%;

[0071] (c) Errors in quantity surveying >5%.

[0072] The working principle and beneficial effects of the above technical solution are as follows: First, the longitudinal section is divided along the route with a preset length; then, an unequal width division strategy is used in the cross section to divide the road area into N transverse sections, covering the roadbed and ancillary facilities area; a strip grid unit system is established based on the highway design station number; second, the highway number and the section number within the project are extracted from the highway basic attributes, the route direction symbol is determined according to the spatial location data, the start and end station number intervals of the grid are obtained from the spatial calculation results, and finally, a partition identifier representing the specific transverse location is attached; finally, the highway number, section number, direction symbol, station number interval and transverse partition identifier are combined with the separator according to predetermined rules to generate a structured code for each basic grid. The aforementioned scheme achieves refined grid-based management of the three-dimensional space of highways by dividing longitudinal intervals and dynamically adjusting lateral partitions, ensuring accurate positioning of complex structures such as roadbeds and slopes. It extracts multi-dimensional attributes and integrates spatial data to construct a set of coded elements with topological relationships, enabling each 30cm×50cm grid unit to reflect project affiliation or section number, spatial orientation or direction symbol, specific location or station number, and lateral partition. The resulting hierarchical coding is like implanting a barcode into the DNA of the highway, supporting rapid spatial indexing during maintenance inspections and enabling reverse analysis of the distribution logic of civil engineering, traffic safety, and other professional facilities, providing a spatial benchmark for full life-cycle digital management. The strip grid unit system uses the design station number as the longitudinal baseline and employs a dynamic projection algorithm to unfold the curved route into a computable linear coordinate system, solving the gridding challenges of complex alignments such as curves and superelevation sections.

[0073] Example 3: Based on Example 2, the process of generating a structured code for each basic grid provided in this embodiment of the invention includes the following steps:

[0074] S1031: Perform structured analysis on the spatial data output by the established strip grid unit system. Pair and couple the original data of the station intervals generated by the vertical interval division with the original data of the horizontal partition identifiers determined by the horizontal unequal width partitions to form the core spatial attribute tuple of each smallest spatial unit;

[0075] S1032: Call the highway number data block and section number data block extracted from the highway basic attribute library, and simultaneously access the direction symbol data block output by the spatial computing service; perform the first data fusion of the highway number data block, section number data block and direction symbol data block with the obtained core spatial attribute tuple to generate an enhanced spatial identifier description body containing both management and spatial attributes;

[0076] S1033: Convert highway numbers and section numbers into standard abbreviation formats, unify directional symbols into standardized orientation codes, convert station intervals into compact continuous representations, and convert lateral partition identifiers into standard partition codes; combine and splice formatted data elements in hierarchical order using specific delimiters to output globally unique structured grid codes.

[0077] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first performs structured analysis on the spatial data output by the established strip grid unit system. The original data of the station intervals generated by the vertical interval division is paired and coupled with the original data of the horizontal partition identifiers determined by the horizontal unequal-width partitions to form the core spatial attribute tuple of each smallest spatial unit. Secondly, the highway number data block and section number data block extracted from the highway basic attribute library are called, and the direction symbol data block output by the spatial computing service is simultaneously accessed. The highway number data block, section number data block, and direction symbol data block are then fused with the obtained core spatial attribute tuples for the first time to generate an enhanced spatial identifier description body containing both management and spatial attributes. Finally, the highway number and section number are converted to a standard abbreviation format, the direction symbols are unified into standardized directional codes, the station intervals are converted into compact continuous representations, and the horizontal partition identifiers are converted into standard partition codes. The formatted data elements are combined and spliced ​​in hierarchical order using specific delimiters to output a globally unique structured grid code. The above solution achieves precise digital mapping of highway infrastructure: by performing structured analysis and multi-data fusion on spatial data, fragmented information such as original station numbers and lateral partitions is transformed into a standard coding system containing management attributes and spatial characteristics, ultimately generating a hierarchical, standardized, and globally unique structured grid code; this is equivalent to creating a unique digital ID card for each infrastructure unit, which not only preserves the original spatial topology but also integrates management attribute information, providing a traceable and standardized data base for subsequent asset management, maintenance decisions, and spatial analysis.

[0078] Example 4: Based on Example 3, the process for generating an enhanced spatial identifier descriptor containing both administrative and spatial attributes provided in this embodiment of the invention includes the following steps:

[0079] S10321: Standardize and preprocess the highway number data block and section number data block to form a unified management identification data group. At the same time, perform orientation feature parsing on the direction symbol data block to generate an orientation description data group with orientation semantics.

[0080] S10322: The preprocessed management identification data set and orientation description data set are associated with the generated core spatial attribute tuple in multiple dimensions; by establishing a mapping relationship between management attributes and spatial attributes, the highway management identification, the management scope of the section, and the specific spatial location information are deeply coupled to form a space-management coupling body containing complete management attributes and precise spatial positioning;

[0081] S10323: Perform consistency verification and structured reorganization on the space-management coupling entity, verify the logical correlation and business rationality between each data element, and output an enhanced spatial identifier description entity that simultaneously possesses management attributes and spatial characteristics.

[0082] The working principle and beneficial effects of the above technical solution are as follows: First, the highway number data block and the section number data block are standardized and preprocessed to form a unified management identification data group. At the same time, the directional symbol data block is parsed for directional features to generate a directional description data group with directional semantics. Second, the preprocessed management identification data group and directional description data group are associated with the generated core spatial attribute tuple in multiple dimensions. By establishing a mapping relationship between management attributes and spatial attributes, the highway management identification, section management scope and specific spatial location information are deeply coupled to form a space-management coupling body containing complete management attributes and accurate spatial positioning. Finally, the space-management coupling body is verified for consistency and restructured, and the logical correlation and business rationality between each data element are verified to output an enhanced spatial identification description body that has both management attributes and spatial features. The above scheme achieves precise mapping and coupling between highway management signs and geospatial locations through standardized preprocessing of management data and multi-dimensional association of spatial tuples. The resulting enhanced spatial sign description has three major technical effects: First, it eliminates the separation between management attributes and spatial features in traditional coding, forming a spatial positioning system with business semantics through deep coupling; second, it establishes a traceable management-spatial bidirectional indexing mechanism, enabling each spatial unit to reflect both engineering management attributes and accurately locate geographical coordinates; and third, it ensures the data integrity of the description in complex business scenarios through consistency verification, providing standardized input with both management norms and spatial accuracy for subsequent structured coding.

[0083] Example 5: Based on Example 4, the process for forming a space-management coupling entity containing complete management attributes and precise spatial positioning provided by this embodiment of the invention includes the following steps:

[0084] S103221: Jointly parse the generated management identification data group and orientation description data group, extract the management domain feature elements through the identification resolution service, and extract the spatial domain feature elements from the core spatial attribute tuple to form their respective independent feature sets.

[0085] S103222: Establish a correspondence between the feature elements of the management domain and the feature elements of the spatial domain; assign spatial coordinate references to each management identifier, and inject management attribute identifiers into each spatial unit to create a bidirectional index relationship between management attributes and spatial location, generating a preliminary attribute-spatial association matrix;

[0086] S103223: The data coupling processor performs integrity verification and logical consistency detection on the attribute-spatial association matrix. Each management unit has a corresponding spatial representation, and each spatial unit has a clear management affiliation. The output contains both precise spatial coordinates and complete management information in a spatial-management coupling body.

[0087] The working principle and beneficial effects of the above technical solution are as follows: First, the generated management identifier data group and location description data group are jointly parsed. The management domain feature elements are extracted through the identifier parsing service, and the spatial domain feature elements are extracted from the core spatial attribute tuple to form their own independent feature sets. Second, the correspondence between the management domain feature elements and the spatial domain feature elements is established. Each management identifier is assigned a spatial coordinate reference, and a management attribute identifier is injected into each spatial unit to create a bidirectional index relationship between management attributes and spatial location, generating a preliminary attribute-spatial association matrix. Finally, the attribute-spatial association matrix is ​​checked for integrity and logical consistency through a data coupling processor. Each management unit has a corresponding spatial description, and each spatial unit has a clear management affiliation. The output is a spatial-management coupling body that contains both accurate spatial coordinates and complete management information. The above solution constructs an attribute-spatial association matrix through bidirectional parsing and indexing of feature elements in the management domain and spatial domain. The resulting spatial-management coupling achieves three major technical effects: First, it breaks down the traditional barriers between management and spatial data, enabling accurate cross-referencing between management identifiers and spatial coordinates through bidirectional indexing; second, it ensures that each management unit has complete spatial representation capabilities, while each spatial unit carries clear management attributes, forming a unified expression of business and geography; and third, after verification and optimization by the coupling processor, the output results have both data integrity and logical consistency, providing a verifiable and traceable integrated spatial management data foundation for upper-layer applications.

[0088] Example 6: As Figure 4 As shown, based on Example 1, the process of storing the calculated unit relationship list in the central database provided in this embodiment of the invention includes the following steps:

[0089] S201: Match and analyze the monitoring responsibility scope configuration parameters set by the administrator through the terminal with the continuous grid sequence extracted from the generated basic unit grid database, and generate a preliminary grid aggregation feasibility plan through the spatial continuity verification mechanism.

[0090] S202: Based on the spatial continuity and management scope constraints in the grid aggregation feasibility scheme, the basic grid is logically reconstructed; the basic grids that meet the conditions are merged through grid sequence reorganization, or the grid sequences that exceed the scope requirements are intelligently split to form an optimized grid aggregation scheme that meets the needs of supervision business.

[0091] S203: The optimized grid aggregation scheme is structured through the relationship mapper, a unique responsibility identifier is assigned to each aggregation unit, the correspondence between the grid and the supervisor is established, and a unit relationship list containing complete topological relationships and responsibility mappings is generated; the unit relationship list is stored in the central database after verification.

[0092] The working principle and beneficial effects of the above technical solution are as follows: First, this embodiment matches and analyzes the configuration parameters of the supervision responsibility scope set by the administrator through the terminal with the continuous grid sequence extracted from the generated basic unit grid database, and generates a preliminary grid aggregation feasibility plan through the spatial continuity verification mechanism; second, according to the spatial continuity and management scope constraints in the grid aggregation feasibility plan, the basic grid is logically reconstructed; through grid sequence recombination, the basic grids that meet the conditions are merged, or the grid sequences that exceed the scope requirements are intelligently split to form an optimized grid aggregation plan that meets the needs of supervision business; finally, the optimized grid aggregation plan is structured through the relationship mapper, a unique responsibility identifier is assigned to each aggregation unit, the correspondence between the grid and the supervision personnel is established, and a unit relationship list containing complete topological relationships and responsibility mappings is generated; the unit relationship list is stored in the central database after verification. The above solution achieves three major technical effects by dynamically matching, intelligently aggregating, and mapping relationships between the scope of supervisory responsibility and the basic grid, ultimately generating and storing a list of unit relationships: First, it transforms administrative management needs into calculable spatial grid operation rules, achieving precise adaptation between the business scope and the spatial grid through intelligent merging and splitting; second, it constructs a responsibility zoning system with complete topological characteristics, ensuring that each aggregated unit maintains spatial continuity while strictly adhering to management boundaries; and third, it forms a verifiable mapping relationship between supervisory personnel and grid units, providing a digital management foundation for project supervision that is spatially traceable and has identifiable responsibilities.

[0093] Example 7: Figure 5 As shown, based on Example 1, the process by which the platform server provided in this embodiment of the invention aggregates and calculates data from all responsible units includes the following steps:

[0094] S301: Receives the raw inspection records from the mobile terminal App and the monitoring data stream from the sensor terminal, cleans and formats the raw data through a data validity verification mechanism, and generates standardized supervision business data units.

[0095] S302: Associate and match the processed supervision business data units with the generated unit relationship list; map the business data to the corresponding responsibility units and basic grids through the spatiotemporal correlator, and execute three parallel calculation processes respectively: quality pass rate calculation, progress completion statistics and safety hazard counting, to generate a multi-dimensional indicator data set containing quality assessment, progress measurement and safety status.

[0096] S303: According to the established chainage interval system, the indicator data of each responsibility unit are accumulated and averaged according to the section range to form a section-level statistical result covering the entire section; the section-level statistical result is transmitted to the management terminal after being visualized and packaged.

[0097] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first receives the raw data of the inspection records from the mobile terminal App and the monitoring data stream from the sensor terminal. The raw data is cleaned and formatted through a data validity verification mechanism to generate standardized supervision business data units. Secondly, the processed supervision business data units are associated and matched with the generated unit relationship list. The business data is mapped to the corresponding responsibility units and basic grids through a spatiotemporal correlator. Three parallel calculation processes are executed, namely, quality pass rate calculation, progress completion statistics, and safety hazard counting, to generate a multi-dimensional indicator data set containing quality assessment, progress measurement, and safety status. Finally, according to the established station number interval system, the indicator data of each responsibility unit are accumulated and averaged according to the section range to form a section-level statistical result covering the entire section. The section-level statistical result is transmitted to the management terminal after being visualized and encapsulated. The above solution realizes the full-process value mining of engineering supervision data through multi-source data fusion and intelligent computing: First, a standardized data pipeline is established to transform fragmented on-site data into structured business units; second, spatial responsibility mapping is used to achieve accurate collection and parallel computing of three-dimensional indicators of quality, progress and safety; finally, the spatial aggregation of the stationing system forms a section-level decision view, which not only retains the refined management characteristics of individual grids, but also generates statistical indicators that meet the needs of macro-management, providing a data closed loop from on-site perception to decision support for the whole-cycle supervision of the project.

[0098] Example 8: As Figure 6 As shown, based on Embodiments 1-7, the road area unit division system for digital management and control of highway engineering supervision provided by this embodiment of the invention includes:

[0099] The road zone division module is used to process the design and geographic information data collected by the terminal through edge computing nodes, performing horizontal partitioning and vertical segmentation operations to obtain a basic unit grid database. The BIM / CAD model generated by the engineering design terminal and the GIS data collected by the geographic information terminal together constitute the original input for road zone division. According to the preset algorithm, the edge computing nodes divide the station intervals vertically according to the preset length, and perform spatial calculations in the horizontal partitions using an unequal width partitioning strategy, generating a unique code for each smallest spatial unit. The calculation results are stored in the central database, forming a set of smallest, uniquely identifiable spatial management units with station intervals and horizontal partitions as the core.

[0100] The grid processing module is used for grid management via the platform server from the basic unit grid database. Based on the supervisor's responsibility scope set by the administrator through the terminal, it runs the grid aggregation algorithm to logically merge or split a series of continuous basic grids. The calculated unit relationship list is stored in the central database and bound to the mobile smart terminal account of the specific supervisor.

[0101] The results display module displays the inspection records, acceptance results, and real-time data collected by sensor terminals reported by the supervisors' mobile terminal App. The platform server aggregates and calculates the data of all responsible units, covering the start and end chainages of the section, and performs quantitative statistics on indicators. The statistical results are presented in the form of visual charts on the project manager's terminal or large-screen command center, forming a comprehensive management view representing the entire section.

[0102] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, the road area division module uses the design and geographic information data collected by the terminal to perform horizontal partitioning and vertical segmentation operations on the edge computing nodes to obtain a basic unit grid database; the BIM / CAD model generated by the engineering design terminal and the GIS data collected by the geographic information terminal together constitute the original input for road area division; the edge computing nodes divide the station intervals vertically according to a preset algorithm and perform spatial calculations in the horizontal partitions using an unequal width partitioning strategy, and generate a unique code for each smallest spatial unit; the calculation results are stored in the central database, forming a set of smallest, uniquely identifiable spatial management units with station intervals and horizontal partitions as the core; grid processing The module is used for grid management via the platform server from the basic unit grid database. Based on the supervisor's responsibility scope set by the administrator through the terminal, it runs a grid aggregation algorithm to logically merge or split a series of continuous basic grids. The calculated unit relationship list is stored in the central database and bound to the mobile smart terminal account of the specific supervisor. The results display module shows the inspection records, acceptance results, and real-time data collected by sensor terminals reported by the supervisor's mobile terminal App. The platform server aggregates and calculates the data of all responsible units, covering the start and end chainage of the section, and performs quantitative statistics of indicators. The statistical results are presented in the form of visual charts on the project manager's terminal or large screen command center, forming a comprehensive management view representing the entire section. The aforementioned solution utilizes edge computing nodes to spatially encode BIM / CAD and GIS data, achieving digital decomposition and standardized identification of highway engineering objects and constructing a basic database that can be located down to the smallest spatial unit. The grid processing module uses a dynamic aggregation algorithm to match basic units with the scope of supervision responsibility, establishing a dynamic mapping relationship between spatial units and management responsibilities, supporting precise allocation and flexible adjustment of supervision tasks. The results display module, through the aggregation analysis and visualization of multi-source monitoring data, achieves real-time quantitative assessment of project status and macro-level situational awareness, providing data support for project management decisions. These three modules work together to realize a systematic mapping and closed-loop management of highway supervision operations from physical space to digital space.

[0103] The implementation of this embodiment is based on the appendix. Figure 7 Flowchart and appendix of the digital management and grid-based method for highway engineering supervision Figure 8 A schematic diagram of the three-level grid aggregation method shows how the process of combining road area unit division with three-level grid aggregation and dynamic supervision and control enables digital management and control of highway engineering supervision.

[0104] Implementation of Road Area Unit Division Standards Figure 7As shown, the lateral road zone division covers the roadbed and ancillary facilities areas, such as driving lanes, central median, guardrails, and drainage ditches. The specific number of zones N is determined based on the cross-sectional structure (e.g., for a two-way four-lane highway, N=5, including the left roadbed, left guardrail, central median, right roadbed, and right guardrail). The lateral zones adopt an unequal width division strategy, according to the formula... Calculate the width of each partition, where This is the maximum width of the construction area of ​​this cross section; The weighting coefficients are determined by the characteristics of the roadbed structure. The longitudinal strip grid division is based on the requirements of the supervision work, with the longitudinal interval length set accordingly. L (adjustable parameter from 10-100 meters), along the route (along the longitudinal profile of the road), based on the starting station, according to... L divides the continuous station number intervals sequentially.

[0105] Three-level grid aggregation method, such as Figure 8 As shown, S1, the basic grid cell is constructed with vertical interval lengths. L and the width of each partition The core minimum spatial management unit, with station intervals and lateral partitions as key parameters, is S2. The supervision responsibility unit is formed by merging continuous foundation grids, and its length must meet the requirements of the responsibility unit. It supports merging / splitting to match the responsibilities of supervisors (e.g., if a supervisor is responsible for the K100+000~100+300 section, 6 sections can be merged / splittered). The 50-meter basic grid is merged into one 300-meter responsibility unit; if the responsibility area is adjusted to K100+000~100+150, it is split into three 50-meter basic grids. S3, the section management unit is formed by aggregating all supervision responsibility units within the entire section, covering the start and end chainage of the section, and realizing indicator statistics through three-level aggregation. Progress indicator: the percentage of completed work in the section = cumulative completed work / total design work; quality indicator: the pass rate of a certain area = the number of qualified basic grids / the total number of basic grids; safety indicator: the number of hidden dangers in the responsibility unit.

[0106] Figure 9 This is a rendering of the highway grid division.

[0107] The grid dynamic reconstruction mechanism is based on the attached Figure 7 The closed-loop design of the process includes monitoring of trigger conditions: design changes causing station offset δ> L / 2 (e.g.: L=50 meters, δ>25 meters); the adjustment ratio of the scope of supervisory responsibility β>30% (e.g., originally responsible for 10 basic grids, adjusted to 14, β=40%); the statistical error of the project quantity ε>5% (e.g., the design quantity is 1000m³, the actual quantity is 1060m³, ε=6%); when any of the above conditions are triggered, the supervisory grid is automatically reconstructed. The grid reconstruction process is as follows: (1) The supervisory system identifies the triggering conditions and generates a grid reconstruction instruction; (2) The longitudinal interval is recalculated. L and horizontal partitions (3) Re-aggregate the three-level grid according to the new parameters and update the responsibility binding relationship synchronously; (4) Output the reconstruction report to ensure that the supervision data matches the new grid system.

[0108] Each process of dividing road domain units is a repetitive process.

[0109] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the road area unit division method for digital management and control of highway engineering supervision described above.

[0110] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method for dividing road area units for digital management and control of highway engineering supervision.

[0111] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in this application and in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0112] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of equivalents of this invention, this invention is also intended to include these modifications and variations.

Claims

1. A road domain unit division method for digital management and control of highway engineering supervision, characterized in that, Comprising the following steps: The terminal collected design and geographic information data is processed by horizontal partitioning and vertical segmentation operation through the edge computing node to obtain a basic unit grid database; the BIM / CAD model generated by the engineering design terminal and the GIS data collected by the geographic information terminal constitute the original input of road domain division; the edge computing node divides the stake number interval according to the preset algorithm, performs spatial calculation by unequal width partitioning strategy, and generates a unique code for each minimum space unit; The calculation result is stored in the central database to form a set of minimum and uniquely identifiable space management units with stake number interval and horizontal partitioning as the core; The basic unit grid database is managed by the platform server according to the supervisor's responsibility range set by the administrator through the terminal, and a series of continuous basic grids are logically combined or split by running the grid aggregation algorithm; the generated unit relationship list is stored in the central database and bound to the mobile intelligent terminal account of the specific supervisor; The process of storing the generated unit relationship list in the central database comprises the following steps: Match and analyze the supervisor's responsibility range configuration parameters set by the administrator through the terminal with the continuous grid sequence extracted from the generated basic unit grid database, and generate a preliminary grid aggregation feasibility scheme through the spatial continuity verification mechanism; According to the spatial continuity and management range constraint conditions in the grid aggregation feasibility scheme, the basic grid is logically reconstructed; The basic grid that meets the conditions is combined or the grid sequence that exceeds the range requirement is intelligently split through grid sequence reorganization to form an optimized grid aggregation scheme that meets the supervision business requirements; The optimized grid aggregation scheme is structured by the relationship mapper, a unique responsibility identifier is assigned to each aggregated unit, the correspondence between the grid and the supervisor is established, and a unit relationship list containing complete topological relationship and responsibility mapping is generated; the unit relationship list is stored in the central database after verification; The process of aggregating and calculating all responsibility unit data by the platform server comprises the following steps: Receive the inspection record raw data of the mobile terminal App and the monitoring data stream of the sensor terminal, clean and format the raw data through the data validity verification mechanism, and generate standardized supervision business data units; Associate and match the processed supervision business data units with the generated unit relationship list; map the business data to the corresponding responsibility unit and basic grid through the space-time correlator, respectively execute three parallel calculation processes of quality qualification rate calculation, progress completion amount statistics and safety hazard counting, and generate a multi-dimensional index data set containing quality evaluation, progress measurement and safety status; According to the established stake number interval system, the index data of each responsibility unit is accumulated and averaged according to the section range to form section-level statistical results covering the whole section; the section-level statistical results are encapsulated and transmitted to the management terminal after visualization.

2. The road domain unit division method for digital management and control of highway engineering supervision according to claim 1, characterized in that, The process of generating a unique code for each minimum space unit comprises the following steps: Divide the longitudinal section with preset length along the route; Divide the road area into N transverse sections by unequal width division strategy in the cross section, covering the roadbed and auxiliary facilities area; Establish a strip grid cell system based on the highway design stake number; Extract the highway number and bid section number from the highway basic attributes, determine the route direction symbol according to the spatial location data, obtain the grid start and end stake number interval from the spatial calculation result, and finally attach the transverse specific position partition identifier; Combine the highway number, bid section number, direction symbol, stake number interval and transverse partition identifier according to the predetermined rule and separator, and generate a structured code for each basic grid. 3.The road domain unit division method for digital management and control of highway engineering supervision according to claim 2, wherein, The longitudinal section length ΔL is a adjustable parameter of 10-100 meters, which can be dynamically configured according to the supervision business requirements. 4.The road domain unit division method for digital management and control of highway engineering supervision according to claim 2, wherein, The transverse partition adopts unequal width division strategy, and the partition width satisfies: wherein is a weight coefficient determined by the subgrade structure characteristics, satisfying ; is the maximum width of the selected cross-section construction range.

5. The road domain unit division method for digital management and control of highway engineering supervision according to claim 2, characterized in that, Grid dynamic reconstruction mechanism, automatically reconstruct the grid when any of the following conditions is triggered: Design change leads to pile number offset Supervision responsibility scope adjustment ratio Engineering quantity statistical error ​​ 6. The road domain unit division method for digital management and control of highway engineering supervision according to claim 2, characterized in that, The process of generating a structured code for each basic grid includes the following steps: Structured analysis of the spatial data output by the established strip grid cell system; Pair and couple the original data of the stake number interval generated by the longitudinal section division with the original data of the transverse partition identifier determined by the transverse unequal width division to form the core spatial attribute tuple of each minimum spatial unit; Call the highway number data block and bid section number data block extracted from the highway basic attribute library, and access the direction symbol data block output by the spatial calculation service; Perform first data fusion of the highway number data block and bid section number data block, and the direction symbol data block with the obtained core spatial attribute tuple to generate an enhanced spatial identifier description body containing management and spatial dual attributes; Convert the highway number and bid section number to standard abbreviation format, unify the direction symbol to standard direction code, convert the stake number interval to compact continuous expression, and convert the transverse partition identifier to standard partition code; Combine and splice the formatted data elements in hierarchical order with specific separators to output a structured grid code with global uniqueness.

7. The road domain unit division method for digital management and control of highway engineering supervision according to claim 6, characterized in that, The process of generating an enhanced spatial identifier description body containing management and spatial dual attributes includes the following steps: Standardize the called highway number data block and bid section number data block to form a unified management identifier data group, and analyze the direction symbol data block to generate a direction description data group with direction semantics; Associate the preprocessed management identifier data group and direction description data group with the generated core spatial attribute tuple in multiple dimensions; Through the mapping relationship between management attributes and spatial attributes, deeply couple the highway management identifier, bid section management range and specific spatial location information to form a space-management coupling body containing complete management attributes and accurate spatial positioning; Conduct consistency verification and structured reorganization on the space-management coupling body, and output an enhanced spatial identifier description body with management attributes and spatial characteristics. 8.The road domain unit division method for digital management and control of highway engineering supervision according to claim 7, wherein, The process of forming a space-management coupling body containing complete management attributes and accurate spatial positioning includes the following steps: The generated management identification data set and the position description data set are jointly parsed, the management domain feature elements are extracted through the identification parsing service, and the spatial domain feature elements are extracted from the core spatial attribute tuple to form independent feature sets; The management domain feature elements and the spatial domain feature elements are correspondingly established; each management identification is assigned with a spatial coordinate reference, and each spatial unit is injected with a management attribute identification, thereby creating a bidirectional index relationship between the management attribute and the spatial position, and generating a preliminary attribute-spatial association matrix; The attribute-spatial association matrix is subjected to integrity check and logical consistency detection by a data coupling processor; each management unit has a corresponding spatial expression, and each spatial unit has a clear management attribution; and a spatial-management coupling body containing accurate spatial coordinates and complete management information is output. 9.The road domain unit division method for digital management and control of highway engineering supervision according to claim 1, wherein, The inspection records, acceptance results and real-time data collected by the sensor terminal reported by the supervision personnel mobile terminal App are aggregated and calculated by the platform server, the start and end stakes of the bid section are covered, and the index quantization statistics are performed; the statistical results are presented in the form of visual charts on the terminal or large-screen command center of the project manager, forming a comprehensive management view representing the entire bid section.

10. A road domain unit division system for digital management and control of highway engineering supervision, implementing the road domain unit division method for digital management and control of highway engineering supervision according to any one of claims 1-9, characterized in that, It includes: A road domain division module is used for horizontal partitioning and vertical segmenting operation processing of terminal collected design and geographic information data via an edge computing node to obtain a basic unit grid database; a BIM / CAD model generated by an engineering design terminal and GIS data collected by a geographic information terminal jointly constitute the original input of road domain division; the edge computing node divides the stake interval according to a preset algorithm, performs spatial calculation by unequal width partitioning strategy for unequal width partitioning in the horizontal direction, and generates a unique code for each minimum spatial unit; The calculation results are stored in the central database to form a set of minimum and uniquely identifiable spatial management units with the stake interval and horizontal partitioning as the core; A grid processing module is used for grid management of the basic unit grid database via the platform server, according to the supervision personnel responsibility range set by the administrator through the terminal, a grid aggregation algorithm is run to logically combine or split a series of continuous basic grids; the generated unit relationship list is stored in the central database and is bound with the mobile intelligent terminal account of the specific supervision personnel; A result display module, the inspection records, acceptance results and real-time data collected by the sensor terminal reported by the supervision personnel mobile terminal App are aggregated and calculated by the platform server, the start and end stakes of the bid section are covered, and the index quantization statistics are performed; the statistical results are presented in the form of visual charts on the terminal or large-screen command center of the project manager, forming a comprehensive management view representing the entire bid section; The process of storing the calculation generated unit relationship list in the central database includes: The supervision responsibility range configuration parameters set by the administrator through the terminal are matched and analyzed with the continuous grid sequence extracted from the generated basic unit grid database, and a preliminary grid aggregation feasibility scheme is generated through a spatial continuity check mechanism; According to the space continuity and management range constraints in the grid aggregation feasibility scheme, the basic grid is logically reconstructed; Through grid sequence reorganization, the qualified basic grid is merged or the grid sequence exceeding the range requirement is intelligently split to form an optimized grid aggregation scheme meeting the supervision business requirements; Through a relationship mapper, the optimized grid aggregation scheme is structured, a unique responsibility identifier is assigned to each aggregation unit, the grid and the supervision personnel are corresponded, and a unit relationship list containing complete topological relationship and responsibility mapping is generated; the unit relationship list is stored in the central database after verification; The platform server includes the following steps in the process of aggregating and calculating the data of all responsibility units: The mobile terminal App's inspection record raw data and the sensor terminal's monitoring data stream are received, the raw data is cleaned and formatted through a data validity verification mechanism, and standardized supervision business data units are generated; The processed supervision business data units are associated and matched with the generated unit relationship list; through a space-time correlator, the business data is mapped to the corresponding responsibility unit and basic grid, three parallel calculation processes of quality qualification rate calculation, progress completion quantity statistics and safety hazard counting are respectively executed, and a multi-dimensional index data set containing quality evaluation, progress measurement and safety condition is generated; According to the established pile number interval system, the index data of each responsibility unit is accumulated and averaged according to the bid section range to form a bid section level statistical result covering the whole bid section; the bid section level statistical result is transmitted to the management terminal after being visually packaged.

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