A municipal comprehensive GIS data integration and management system for hub airport construction

Abstract

The present application relates to municipal comprehensive GIS data management technical field, specifically, it is a kind of municipal comprehensive GIS data integration and management system for hub airport construction.It includes data acquisition unit for collecting spatial geographic parameters, construction parameters and traffic operation parameters to construct original multi-source data set, and the original multi-source data set is preprocessed, and the standardized data set is output;Equipment scheduling and resource management unit generates total conflict set based on spatial fusion data set and dynamic progress data set, and obtains Pareto optimal solution set by constructing multi-objective optimization function;Multi-dimensional conflict early warning unit obtains safety conflict set based on spatial fusion data set and dynamic progress data set, and combined with total conflict set, finally generates dynamic early warning information.Can automatically generate the scheduling scheme after coordination in the progress conflict scene of multiple construction parties, avoid completely relying on artificial decision-making, improve construction efficiency and cooperativity.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of municipal comprehensive GIS data management, in particular to a municipal comprehensive GIS data integration and management system for hub airport construction. BACKGROUND

[0002] In the process of hub airport construction, municipal pipe network, power, drainage and traffic supporting projects are highly coupled with airport main projects (terminal, runway, taxiway, etc.). The complexity of multiple construction parties, multiple processes and multiple types of cross construction leads to the management of construction progress, resource scheduling and safety risks as key problems that restrict the quality and efficiency of the project.

[0003] Although the existing GIS construction monitoring system can collect spatial geographic parameters, construction progress and traffic operation data, and realize three-dimensional modeling and spatial topology detection, in the scenario of progress conflict of multiple construction parties, if the contradictory relationship between different construction parties and different processes cannot be identified in time when the construction progress conflict is detected, the utilization rate of construction resources is low, and there is a risk of delay in project progress. Moreover, the traditional method mostly relies on geometric proximity relationship for conflict judgment, that is, the conflict is judged by spatial position and distance threshold, which leads to a large deviation of conflict judgment result, making it difficult to reflect the real engineering risk in time, and leading to the fact that part of the conflict cannot be prewarned. Therefore, a municipal comprehensive GIS data integration and management system for hub airport construction is designed. SUMMARY

[0004] The purpose of the present application is to provide a municipal comprehensive GIS data integration and management system for hub airport construction to solve the problem that in the scenario of progress conflict of multiple construction parties, the contradictory relationship between different construction parties and different processes cannot be identified in time, leading to low utilization rate of construction resources and risk of delay in project progress.

[0005] To achieve the above purpose, the present application provides a municipal comprehensive GIS data integration and management system for hub airport construction, comprising:

[0006] A data acquisition unit is used to acquire spatial geographic parameters, construction parameters and traffic operation parameters, and to build an original multi-source data set , and to preprocess the original multi-source data set to output a standardized data set ;

[0007] A spatial modeling and GIS fusion unit is used to establish a three-dimensional GIS database based on the standardized data set , to topologically model municipal elements and airport main projects, and to support conflict detection, and to output a spatial fusion data set ;

[0008] Construction progress monitoring unit, which is used for binding construction plan process and airport main body engineering space object, and updating construction progress in real time based on equipment operation state, material supply state and process execution situation, and generating dynamic progress data set ;

[0009] Equipment scheduling and resource management unit, which generates total conflict set based on spatial fusion data set and dynamic progress data set Meanwhile, based on total conflict set , conflict severity score is constructed by introducing construction party priority, and multi-objective optimization function is constructed, and Pareto optimal solution set is obtained by using Pareto front search solution ;

[0010] Multi-dimensional conflict early warning unit, which identifies construction object and potential hazard source of construction site based on spatial fusion data set and dynamic progress data set , generates hazard source set , and obtains safety conflict set by combining total conflict set , and finally generates dynamic early warning information by performing risk level division.

[0011] As a further improvement of the technical solution, the spatial geographic parameters at least include longitude and latitude coordinates, elevation, underground pipe network nodes and road center line

[0012] Construction parameters at least include construction progress, equipment position, material supply and process plan

[0013] Traffic operation parameters at least include road traffic and congestion index

[0014] As a further improvement of the technical solution, the spatial modeling and GIS fusion unit includes three-dimensional spatial modeling module, municipal layer integration module and spatial fusion output module

[0015] The three-dimensional spatial modeling module is based on standardized data set , and extracts spatial object set from it, and obtains spatial feature object by three-dimensional reconstruction and coordinate registration, and constructs spatial feature set ;

[0016] The municipal layer integration module is based on spatial object set ​A 3D GIS database is constructed by overlaying municipal pipeline, power, and drainage layers and establishing topological relationships. ;

[0017] The spatial fusion output module is based on a 3D GIS database. , set of joint elements and adjacency matrix Constructing a spatial fusion dataset in the form of triples .

[0018] As a further improvement to this technical solution, based on the aforementioned set of spatial objects... Constructing a 3D GIS database The specific steps involved are as follows:

[0019] Based on spatial object collection Define the set of main engineering elements of the airport The set of main engineering elements of the airport It must include at least the terminal building, runway, and taxiway;

[0020] Define the set of municipal supporting elements The aforementioned set of municipal supporting elements It includes at least municipal pipelines, electricity, drainage, and roads;

[0021] Based on the set of main airport engineering elements and municipal supporting elements Construct a joint element set ;

[0022] Based on spatial fusion dataset The node attributes in the context of any two spatial feature objects and Calculate the Euclidean distance between two spatial feature objects. And by introducing an adaptive adjacency threshold Calculate the adjacency matrix ;

[0023] Based on the joint element set and adjacency matrix Determine the set of edges ;

[0024] From the set of joint elements Sum of edges Building a 3D GIS Database ;

[0025] Among them, in the three-dimensional GIS database In this context, nodes are used for storage. attribute vector Edges are used for storage Relationship tags .

[0026] As a further improvement to this technical solution, the construction progress monitoring unit includes a construction object binding module and a construction progress generation module;

[0027] The construction object binding module is used to bind the construction procedure plan. With spatial elements Bind the components based on the construction status. Material supply status As well as the execution status of procedures, update the construction progress in real time. and generate an exception flag. ;

[0028] The construction progress generation module is based on the normalized construction progress. Simultaneously, schedule deviation and anomaly indicators are introduced. As an extended attribute, it is written into the construction object attribute table to form a progress enhancement attribute. ;

[0029] Based on progress enhancement attributes And introduce spatial geometric information A dynamic progress dataset is constructed. .

[0030] As a further improvement to this technical solution, the construction object binding module generates an anomaly identifier. The following steps are involved:

[0031] spatial element objects Construction plan procedures Bind and build a construction progress mapping set. ;

[0032] Based on construction status Material supply status And the execution status of the work processes, updating the actual progress of the construction objects. ;

[0033] Updated actual progress Normalization is performed, and the construction progress deviation is calculated by comparing the actual construction progress with the planned construction progress. ,when Greater than the preset construction progress deviation threshold When this occurs, an exception flag is generated. .

[0034] As a further improvement to this technical solution, the equipment scheduling and resource management unit includes a conflict detection module and a multi-objective adjustment module, and the conflict detection module includes a spatial conflict sub-module and an engineering logic conflict sub-module.

[0035] The spatial conflict submodule is used to detect spatial proximity conflicts between different main engineering elements and municipal supporting elements at the construction site, and to detect these conflicts through an adjacency matrix. Topological relationships accelerate conflict detection, while outputting a set of spatial conflicts. ;

[0036] The engineering logic conflict submodule is used to automatically detect logical contradictions on the construction site and output a set of logical conflicts. Simultaneously, by integrating spatial and logical conflicts, a total conflict set is generated. ;

[0037] The multi-objective adjustment module, when the conflict detection module outputs a conflict identifier, is based on the spatial fusion dataset. With dynamic progress dataset The construction resource scheduling plan is optimized through multiple objectives to generate a coordinated equipment and resource scheduling plan.

[0038] As a further improvement to this technical solution, the conflict detection module generates a total conflict set. The specific steps involved are as follows:

[0039] Based on spatial fusion dataset For any two spatial element objects and Calculate the Euclidean distance between two spatial feature objects. and compare it with the adaptive adjacency threshold Compare;

[0040] When Euclidean distance ≤Adaptive Adjacency Threshold When a spatial conflict is detected, a conflict flag is output. ,otherwise ;

[0041] And through the adjacency matrix Topological relationships accelerate conflict detection, while outputting a set of spatial conflicts. ;

[0042] Meanwhile, based on dynamic progress dataset For any two construction objects and Determine whether the set of process plans overlaps within the time interval and whether the total amount of resources required exceeds the available resource constraints.

[0043] When the process plans of different construction objects in the same time interval have intersections, and the total resource demand exceeds the available resource capacity, there is an engineering logic conflict and the conflict identifier is output, and all conflict pairs that meet the conditions are collected and output as a logic conflict set ;

[0044] At the same time, based on the space conflict and the logic conflict, a total conflict set is generated .

[0045] As a further improvement of the technical solution, the multi-objective adjustment module generates a coordinated device and resource scheduling scheme, involving the following specific steps:

[0046] Based on the total conflict set , according to the conflict type and the construction progress deviation, and introducing the priority of the construction party, the conflict severity score is calculated , and it is sorted by score to get the scheduling priority;

[0047] On the basis of the scheduling priority, the multi-objective optimization function is constructed with the optimization objectives of minimizing the actual progress deviation, minimizing the resource load fluctuation and minimizing the number of conflicts, and the cost constraint, construction sequence constraint, resource availability constraint and safety distance constraint are introduced;

[0048] The multi-objective optimization function is solved by using the Pareto front search method to obtain a Pareto optimal solution set ;

[0049] The Pareto optimal solution set is sorted and filtered to obtain an optimal scheduling scheme , and a scheduling result set is generated;

[0050] Among them, the cost constraint includes:

[0051] The total resource consumption cost under the scheduling scheme should not exceed the upper limit of the project fund budget;

[0052] The single consumption cost of the key resource should not exceed the preset allocation quota;

[0053] The resource consumption cost of each construction process should not exceed the unit process threshold;

[0054] The cumulative consumption cost of each construction stage should not exceed the stage budget.

[0055] As a further improvement of the technical solution, the multi-dimensional conflict early warning unit includes a hazard source identification module, a safety conflict detection module and a warning information generation module;

[0056] The hazard source identification module identifies a construction object and a potential hazard source of a construction site based on a spatial fusion data set and a dynamic progress data set , extracts spatial geometric information of the construction object , generates a hazard source set in combination with a construction stage, a process plan and a device type ;

[0057] The safety conflict detection module detects safety conflicts of the construction site based on the hazard source set and a total conflict set , and outputs a safety conflict set , wherein the safety conflicts include personnel and device conflicts, device and environment conflicts, and engineering logic and safety conflicts superimposed;

[0058] The early warning information generation module classifies risk levels based on the safety conflict set , and generates dynamic early warning information.

[0059] Compared with the prior art, the present application has the following advantages:

[0060] 1. In the municipal comprehensive GIS data integration and management system for hub airport construction, a conflict detection module is arranged in the device scheduling and resource management unit, and a spatial conflict submodule and an engineering logic conflict submodule are introduced respectively; wherein the spatial conflict submodule determines spatial proximity relationships based on a spatial fusion data set and an adjacency matrix, and the engineering logic conflict submodule determines process logic conflicts based on a process plan, resource requirements and available resource constraints of a dynamic progress data set; finally, a total conflict set is outputted, unified detection of spatial contradictions and logic contradictions in multi-process cross construction is realized, and the limitation of traditional methods which only rely on geometric threshold determination to cause result deviation is overcome.

[0061] 2. In the municipal comprehensive GIS data integration and management system for hub airport construction, in the multi-target regulation module, a conflict severity score is constructed based on conflict types, progress deviations and priority levels of construction parties; on this basis, a multi-objective optimization function is established, with the objectives of minimizing construction progress deviations, minimizing resource load fluctuations and minimizing the number of conflicts, and cost constraints, construction sequence constraints and safety distance constraints are introduced; and a candidate solution set is generated through Pareto frontier search, and a scheduling result set containing object identifiers, scheduling time windows and resource allocations is outputted through weight adaptive sorting; in the scene of multi-construction party progress conflict, a coordinated scheduling scheme can be automatically generated, avoiding complete reliance on manual decision-making, and improving construction efficiency and collaboration.

[0062] 3. In the multi-dimensional conflict early warning unit of the municipal comprehensive GIS data integration and management system for hub airport construction, based on the spatial fusion data set and the dynamic progress data set, the potential dangerous sources are identified in combination with the process plan and the equipment type to form a dangerous source set; and the dangerous source set is associated with the total conflict set to detect personnel and equipment conflicts, equipment and environment conflicts, and process logic and dangerous source superimposed conflicts, and output a safety conflict set;

[0063] Finally, the risk level of the conflict event is divided to generate early warning information containing conflict type, location, timestamp and danger level; and the perception and response ability of the system to complex risks in the construction site is improved, thereby realizing the integrated management of construction safety and progress scheduling. BRIEF DESCRIPTION OF DRAWINGS

[0064] Figure 1 The figure is a whole flow chart of the present application.

[0065] The meanings of the various numbers in the figure are as follows:

[0066] 1. Data acquisition unit;

[0067] 2. Spatial modeling and GIS fusion unit; 21. Three-dimensional spatial modeling module; 22. Municipal layer integration module; 23. Spatial fusion output module;

[0068] 3. Construction progress monitoring unit; 31. Construction object binding module; 32. Construction progress generation module;

[0069] 4. Equipment scheduling and resource management unit; 41. Conflict detection module; 42. Multi-objective regulation module;

[0070] 5. Multi-dimensional conflict early warning unit; 51. Dangerous source identification module; 52. Safety conflict detection module; 53. Early warning information generation module. DETAILED DESCRIPTION

[0071] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0072] Embodiment: Please refer to Figure 1 As shown in the figure, a municipal comprehensive GIS data integration and management system for hub airport construction is provided, which comprises a data acquisition unit 1, the data acquisition unit 1 is used for acquiring spatial geographic parameters, construction parameters and traffic operation parameters, and constructing an original multi-source data set and pre-process the original multi-source dataset (unify spatial coordinates, normalize construction progress, align progress data and equipment status coding and timestamps), output standardized dataset ;

[0073] wherein the spatial geographic parameters at least include longitude and latitude coordinates, elevation, underground pipe network nodes and road centerlines;

[0074] The construction parameters at least include construction progress, equipment position, material supply and process plan ;

[0075] The traffic operation parameters at least include road traffic and congestion index.

[0076] In this embodiment, for each spatial geographic parameter (spatial geographic parameters include runway, taxiway, terminal, road centerline, underground pipe network node); collect its three-dimensional coordinates and attribute vector (attribute vector includes, for example, type, length, pipe diameter, buried depth);

[0077] All spatial geographic parameters are constructed as a spatial object set :

[0078]

[0079] wherein, represents the spatial object (from runway, taxiway, terminal, road centerline, underground pipe network node, etc. spatial geographic elements) corresponding to the th spatial geographic parameter; (( ) represents the three-dimensional coordinate component of the spatial object ; represents the attribute vector of the spatial object (concrete attribute items are different according to object type: runway / taxiway: length, width, paving material; pipe network node: pipe diameter, buried depth, connection relationship; pipe network node: pipe diameter, buried depth, connection relationship); represents the total number of spatial objects (represents the number of all spatial geographic parameter objects collected in the dataset); represents the index of the spatial geographic parameter;

[0080] For construction objects (such as construction section, construction process, construction equipment), collect construction progress , equipment position , process plan and material supply status , construct a construction parameter matrix :

[0081]

[0082] In the formula, represents the th construction object (for construction process (work unit in time dimension (such as concrete pouring, steel bar binding)), or for construction section (a section of construction area continuously in space (such as runway section, pipeline section)) or construction equipment (mechanical equipment dynamically participating in construction (such as tower crane, excavator, transport vehicle)), as the primary key index of the construction parameter matrix); represents the th construction object at time Construction progress (scalar, unit: percentage); represents the th construction object at time Device position coordinates (if the object is a construction section / process, represents its spatial position (such as paragraph starting point / center of gravity coordinates), if the object is a device, represents the real-time coordinates of the device on the site); represents the th construction object at time Process plan set; represents the th construction object at time Material supply status (used to judge material support situation and supply risk, its unit depends on the type of material (ton, cubic meter, piece, etc.)); represents the total number of construction objects; is a construction parameter matrix, containing five-tuple parameters of all construction objects and their at time As the input of dynamic progress monitoring, conflict detection and resource scheduling;

[0083] For traffic operation parameters, real-time road traffic and congestion index of the relevant road network are collected to build traffic operation parameter set :

[0084]

[0085] In the formula, represents the th road identifier or index, which is used to uniquely represent a road in the road network; represents the th road real-time road traffic at time, usually in vehicles / hour or vehicles / minute, indicating the number of vehicles passing on the road; Indicates the first The road is The congestion index at any given time is used to measure the degree of road congestion. The higher the value, the more severe the congestion. It is usually calculated based on indicators such as speed, traffic flow, and density. This represents the total number of roads in the road network and is used to define the index. Scope; It is a set of traffic operation parameters, representing a general description of the operation status of each road in the road network at a certain moment;

[0086] Arrange the above subsets by timestamp Alignment to form the original multi-source dataset :

[0087]

[0088] In the formula, This represents a merge operation of sets or matrices, used to form indexable multi-source data tables, supporting subsequent data standardization and spatial fusion operations; This represents a construction parameter matrix, which shows information such as construction progress, equipment status, and work process plans that change over time; it is time series data. This represents the time interval of each road in the road network. Traffic flow and congestion status; The timestamp represents the specific time point of data collection and is used for time-series alignment of multi-source data.

[0089] In this embodiment, preprocessing includes spatial coordinate alignment, used to align the three-dimensional coordinates. Transform to a unified spatial reference system;

[0090] Construction progress normalization In the formula, Indicates the first A construction object (such as a construction section, process, or equipment) at a given time The actual construction progress; Indicates the first The maximum construction progress of each construction object; Indicates the first Each construction object at any time Normalization progress; The normalized interval is defined as 0, where 0 indicates no start and 1 indicates completion. Normalization is used to unify the progress of different construction objects to the same dimension, making subsequent comparisons, coding, or fusion calculations more stable.

[0091] The construction area was divided into grids of fixed size, and the equipment locations were determined. Encoding, linear index or Morton / Z-order;

[0092] The original process plan is mapped into a fixed dimension vector , where the fixed dimension vector is composed of current process one-hot, remaining progress binning, future step process sequence one-hot, resource requirement normalized vector and process priority;

[0093] And the material supply state is composed of material inventory, in-transit quantity, ETA (expressed as arrival time) and supply reliability after normalization and binning respectively , which represents the encoded material supply state vector of the th construction object at time ;

[0094] And the real-time road traffic and congestion index are also normalized;

[0095] Finally, the original multi-source data set is preprocessed to obtain the standardized data set .

[0096] The municipal comprehensive GIS data integration and management system for hub airport construction further comprises a spatial modeling and GIS fusion unit 2, which establishes a three-dimensional GIS database based on the standardized data set, for topological modeling of municipal pipe networks, power, drainage and other municipal elements and airport main projects, and supports conflict detection, and outputs a spatial fusion data set .

[0097] The spatial modeling and GIS fusion unit 2 comprises a three-dimensional spatial modeling module 21, a municipal layer integration module 22 and a spatial fusion output module 23.

[0098] The three-dimensional spatial modeling module 21 is based on the standardized data set , and extracts a spatial object set therefrom, and obtains spatial element objects through three-dimensional reconstruction and coordinate registration, to construct a spatial element set .

[0099] Wherein,

[0100]

[0101] In the formula, represents the a spatial element object; representing the first original spatial object extracted from the standardized dataset ; representing the first original spatial object extracted from the standardized dataset ; representing a three-dimensional reconstruction and coordinate registration function for converting the original spatial object into a standardized; is a collection symbol for representing a collection of all spatial element objects; the spatial element collection is a collection of all spatial objects processed by the three-dimensional modeling module, for converting original spatial parameters into three-dimensional entities that can be used for GIS calculations, ensuring geometric accuracy for subsequent topological operations;

[0102] The municipal layer integration module 22 is based on the spatial object collection , constructs a three-dimensional GIS database by superimposing municipal pipe network, power and drainage layer, and establishing topological relationships;

[0103] The spatial fusion output module 23 is based on the three-dimensional GIS database , the joint element collection and the adjacency matrix , constructs a spatial fusion dataset in the form of triples;

[0104] In this embodiment, represents the fusion node set of the airport main body and municipal elements; represents a graph database constructed by and an edge set , and the graph database adopts a graph database model (such as Property Graph or RDF Graph), in which each spatial element object corresponds to a graph node , and the attributes of the node include geometric information (position , size, buried depth) and engineering semantics (category, material, construction phase);

[0105] The edge set is determined by the joint element collection and the adjacency matrix , and when , an edge is established in the graph; the edge attributes include connection relationship types (geometric proximity, pipe network connectivity, road intersection), and the topological dependencies and spatial constraints between the airport project and municipal elements are explicitly expressed through the edge set ; the node is used to store the attribute vector of ​ , the relationship label of the spatial object is stored in the spatial fusion database , so that the fusion data has the ability of spatial semantic retrieval and topological reasoning.

[0106] In the embodiment, based on the spatial object set , a three-dimensional GIS database is constructed, and the specific steps are as follows:

[0107] Based on the spatial object set , an airport main engineering feature set is defined , and the airport main engineering feature set at least includes a terminal, a runway and a taxiway;

[0108] A municipal supporting feature set is defined , and the municipal supporting feature set at least includes municipal pipe network, power supply, drainage and road;

[0109] Based on the airport main engineering feature set and the municipal supporting feature set , a joint feature set is constructed , wherein represents a set merging operation, and represents merging all elements in two sets; is the joint feature set, which means that all spatial features of the airport main engineering and the municipal supporting facilities are uniformly placed in a set to form a complete three-dimensional GIS object library for subsequent spatial analysis, conflict detection or topological operation;

[0110] Based on the node attribute in the spatial fusion data set , for any two spatial feature objects and (wherein ), the Euclidean distance between the two spatial feature objects is calculated, and the adjacency matrix is calculated by introducing an adaptive adjacency threshold ;

[0111] In the embodiment, the Euclidean distance is specifically as follows:

[0112]

[0113] wherein represents the coordinates of a point belonging to the spatial feature object ; represents the coordinates of a point belonging to the spatial feature object ; denotes the Euclidean norm of a vector;

[0114] adaptive neighborhood threshold corrected by type reference and uncertainty:

[0115]

[0116] where, denotes a node and a node adaptive neighborhood threshold for deciding whether they are connected (neighborhood relation) in the neighborhood matrix ; denotes a type-based safety distance reference; denotes the geometric or measurement uncertainty of a spatial feature object ; denotes the geometric or measurement uncertainty of a spatial feature object ; denotes a weight correction factor (for adjusting the contribution of uncertainty to the neighborhood threshold, ensuring a safety margin); denotes the type identification of a spatial feature object (for distinguishing different types of spatial features, such as terminal, runway, pipeline, road, etc.); denotes the type identification of a spatial feature object ;

[0117] Further:

[0118]

[0119] then ;

[0120] where the neighborhood matrix is a two-dimensional matrix composed of all elements , with dimensions , where is the number of nodes (municipal features or spatial objects) in the joint feature set ; denotes a single element of the neighborhood matrix , corresponding to whether node and node are adjacent, denotes that spatial feature objects and are considered adjacent (connected) within a distance threshold , denotes not adjacent;

[0121] neighborhood matrix This is used to achieve spatial integration and topological association between the main airport and municipal elements, providing a topological basis for conflict detection and process coordination;

[0122] Based on the joint element set and adjacency matrix Determine the set of edges In the formula, Represents a node Nodes The edge between;

[0123] From the set of joint elements Sum of edges Building a 3D GIS Database ;

[0124] Among them, in the three-dimensional GIS database In this context, nodes are used for storage. attribute vector (attribute vector) This includes geometric information (3D coordinates of nodes; boundary or shape descriptions (such as polygon vertices, voxels, or point clouds); spatial features such as dimensions, area, and volume) and engineering semantics (feature types (such as terminals, runways, roads, pipelines, etc.); functional attributes (such as load-bearing capacity, construction stage, and service life); and status information related to construction and operation (such as progress, resource requirements, and equipment occupancy)) used to describe nodes. All relevant attribute information for each node For each spatial element (such as an airport terminal, runway, road network, etc.), edges are used for storage. Relationship tags (Used to characterize the topological or semantic relationships between elements).

[0125] The municipal integrated GIS data integration and management system for hub airport construction also includes a construction progress monitoring unit 3. This unit binds the planned construction procedures to spatial objects of the airport's main engineering structure and updates the construction progress in real time based on equipment operating status, material supply status, and procedure execution, generating a dynamic progress dataset. ;

[0126] Among them, the construction progress monitoring unit 3 includes a construction object binding module 31 and a construction progress generation module 32;

[0127] Among them, the construction object binding module 31 is used to bind the construction procedure plan. With spatial elements Bind the components based on the construction status. Material supply status As well as the execution status of procedures, update the construction progress in real time. The updated actual construction progress is normalized and the progress deviation is calculated When , an abnormality identifier is generated ;

[0128] wherein represents the planning information of the i-th construction process (including process sequence, resource arrangement, expected progress, etc.), and the timestamp is ; represents the progress deviation, which is the difference between the actual progress and the planned progress; is the construction progress deviation threshold value, when , it is determined that there is a progress abnormality; is the abnormality identifier, a binary variable or a Boolean value, used to indicate whether there is a progress abnormality in the spatial element at time , when , , otherwise ;

[0129] The construction progress generation module (32) generates the construction progress based on the normalized construction progress (wherein represents the planned construction progress of the i-th construction object at time ; represents the actual construction progress of the i-th construction object at time , represents the normalized construction progress, which is used to unify the dimension), while introducing the progress deviation and the abnormality identifier as an extended attribute to write into the construction object attribute table, forming the progress enhanced attribute ;

[0130] Based on the progress enhanced attribute and introducing the spatial geometric information , a dynamic progress data set is constructed .

[0131] In this embodiment, the construction object attribute table update formula is:

[0132]

[0133] That is, the GIS attribute table update mechanism is: based on the spatial object geometric information, the construction progress attribute in the time dimension is superimposed;

[0134] Finally, the dynamic progress data set is obtained as: ​​​

[0135]

[0136] In the formula, The time interval for progress updates is the time difference between the previous attribute update and the current update. It is selected based on the collection frequency of construction monitoring data, such as per hour, per day, or per monitoring cycle. This indicates the deviation from the planned construction schedule, representing the difference between the actual progress and the planned progress. It is used to determine whether construction is behind schedule or ahead of schedule. ; This is an anomaly indicator. ; Represents objects composed of spatial elements With the construction object The bound unified index object, and and In They have the same meaning; both are uniform index objects. It simultaneously possesses the dual semantics of spatial elements and construction objects, realizing a unified mapping between spatial geometric information and construction progress; Represents the spatial geometric information of the construction object (including three-dimensional coordinates, shape, size, etc., used for spatial modeling, visualization and spatial analysis in GIS database); Indicates the construction object in time The attribute vector includes historical attributes, normalized construction progress values, construction progress deviations, and anomaly indicators.

[0137] Furthermore, spatial geometric information Generated by Spatial Modeling and GIS Fusion Unit 2, involving the following steps:

[0138] The standardized dataset is integrated into the spatial modeling and GIS fusion unit 2. of In Convert to GIS geometric objects (Points / Lines / Surfaces / Solids), for example, a road centerline is generated as a polyline, a pipeline node is generated as a point, and a terminal building is generated as a polygon or a 3D solid;

[0139] and GIS geometric objects Stored as node attributes in a 3D GIS database In, among them, Therefore, the spatial fusion dataset output by Spatial Modeling and GIS Fusion Unit 2 middle, Nodes contain and attribute information.

[0140] Specifically, the construction object binding module 31 generates an abnormal identifier Involving the following steps:

[0141] The spatial element object is bound with the construction plan process (corresponding to the construction object , the construction object is a construction process or a construction section) to construct a construction progress mapping set ;

[0142]

[0143] In the formula, denotes the normalized construction progress ; denotes the construction party identifier, used to distinguish different general contractors / subcontractors; denotes the construction progress mapping set at time , composed of object identifier, normalized progress and construction party identifier triplets, and is refreshed synchronously based on the updated actual progress, thereby ensuring the time sequence continuity and data consistency of the construction progress;

[0144] Based on the construction state , the material supply state and the process execution, the actual progress of the construction object is updated ;

[0145]

[0146] In the formula, denotes the actual construction progress (0-100%) of the th construction object at time ; denotes the construction plan process set of the th construction object at time , including process order, planned progress and resource arrangement, etc. denotes the progress updating function (such as linear weighting model, rule engine or trained prediction model (such as regression / LSTM)), which is used to comprehensively consider the influence of construction state, material supply and planned process, and output progress increment; denotes the time interval of progress updating; denotes the construction state vector of the th construction object at time , including equipment operating condition, work personnel state and site condition, etc. denotes the construction state vector of the th construction object at time The status of material supply includes parameters such as inventory, quantity in transit, estimated time of arrival (ETA), and supply reliability;

[0147] Updated actual progress Normalization processing ( (In the formula, Indicates the first Each construction object at any time The actual construction progress; express Each construction object at any time Normalized construction schedule; Indicates the first Each construction object at any time The planned construction schedule, data sourced from the construction schedule procedures. The construction progress deviation is calculated by comparing the actual construction progress with the planned construction progress. ,when Greater than the preset construction progress deviation threshold When this occurs, an exception flag is generated. The abnormal labels are written to the construction object attribute table and synchronized to the dynamic progress dataset for subsequent scheduling and early warning. A preset construction progress deviation threshold is also included. This is used to limit the normal fluctuation range (set according to engineering management requirements). When an anomaly is triggered, ,otherwise .

[0148] The municipal integrated GIS data integration and management system for hub airport construction also includes equipment scheduling and resource management unit 4, which is based on spatial fusion dataset. and dynamic progress dataset Generate the total conflict set Meanwhile, based on the total conflict set Furthermore, a conflict severity score is constructed by introducing the contractor priority calculation method. A multi-objective optimization function is then developed and solved using Pareto front search to obtain the Pareto optimal solution set. ;

[0149] The equipment scheduling and resource management unit 4 includes a conflict detection module 41 and a multi-objective adjustment module 42, and the conflict detection module 41 includes a spatial conflict sub-module and an engineering logic conflict sub-module.

[0150] The spatial conflict submodule is used to detect spatial proximity conflicts between different main engineering elements and municipal supporting elements at the construction site, and to detect these conflicts through an adjacency matrix. Topological relationships accelerate conflict detection, while outputting a set of spatial conflicts. ;

[0151] The engineering logic conflict sub-module is used for automatic detection of logical contradictions caused by plan conflicts, resource conflicts or process dependency errors in the construction site, and outputs a logical conflict set Meanwhile, the spatial conflict and the logical conflict are integrated to generate a total conflict set ;

[0152] The multi-objective regulation module 42, in the case that the conflict detection module 41 outputs a conflict identifier, performs multi-objective optimization on the construction resource scheduling scheme based on the spatial fusion data set and the dynamic progress data set , to automatically generate a coordinated equipment and resource scheduling scheme under the premise of ensuring construction safety and engineering quality.

[0153] Further, the conflict detection module 41 generates a total conflict set , and the specific steps are as follows:

[0154] Based on the spatial fusion data set , the Euclidean distance between any two spatial element objects and (wherein, ) is calculated , and compared with the adaptive adjacency threshold value ;

[0155] When the Euclidean distance ≤ adaptive adjacency threshold value , it is determined that there is a spatial conflict and a conflict identifier is output , otherwise ;

[0156] The topological relationship of the adjacency matrix is used to accelerate conflict detection, and a spatial conflict set is output , wherein the spatial conflict set represents a set of spatial element object pairs that meet the spatial adjacent conflict condition at time , and the elements are , i.e., a pair of spatial element objects that have a spatial conflict relationship. When the Euclidean distance is less than or equal to the adaptive adjacency threshold value , it is determined that there is a conflict between the two and recorded in the set, otherwise not included in the set.

[0157] In this embodiment, the adjacency matrix comes from the spatial fusion data set , wherein the adjacency matrix A graph representing the adjacency / dependency relationship between spatial elements, used to represent the spatial adjacency or dependency relationship between construction objects, wherein a spatial element object is represented by a node , and an adjacency or constraint relationship exists between the nodes (and when they are respectively bound to construction processes, they can be mapped to the corresponding spatial dependency between the construction objects ); in the spatial conflict detection process, only the object pairs satisfying are calculated for the Euclidean distance , thereby reducing the calculation of irrelevant objects and improving the efficiency of conflict detection;

[0158] At the same time, based on the dynamic progress dataset , for any two construction objects and , it is determined whether their process plan sets in the time interval overlap and whether the total amount of resources required exceeds the available resource constraint;

[0159] When the process plans of different construction objects in the same time interval have an intersection, and the total amount of resource demand exceeds the available resource capacity, there is an engineering logic conflict and the conflict identifier is output, and all conflict pairs satisfying the conditions are uniformly collected to output a logical conflict set ;

[0160] In this embodiment, from the dynamic progress dataset , for each construction object , the process plan , actual progress , normalized progress , and resource demand are included;

[0161] For any two construction objects and , it is determined whether they simultaneously satisfy:

[0162]

[0163] If so, record the conflict pair , and generate a conflict identifier ; wherein the conflict pair represents a set of construction object binary tuples that have a logical conflict in the same time interval ;

[0164] All conflict pairs satisfying the conditions are uniformly collected to output a logical conflict set :

[0165]

[0166] wherein, total amount of available resources (upper limit of on-site schedulable resource capacity) at time ; total amount of resources required by construction object at time , including equipment, material, or human resource consumption; total amount of resources required by construction object at time ; identifier indicating whether a logical conflict occurs between construction objects at time , taking a value of 1 to indicate that a logical conflict exists and 0 to indicate that no conflict exists; indicates that the total amount of resource requirements of two construction objects in the time period exceeds the available resource capacity, resulting in a resource conflict; total set of logical conflicts at time , with elements being a conflict object pair and a timestamp;

[0167] Meanwhile, based on the spatial conflict and the logical conflict, a total conflict set is generated, which is used to represent all engineering logical conflict relationships (marking the conflict set, recording the involved construction parties, conflict types, and severity) at time and is passed as input to a subsequent scheduling optimization module.

[0168] The multi-objective adjustment module 42 generates a coordinated equipment and resource scheduling scheme, involving the following specific steps:

[0169] Based on each pair of conflict objects (uniformly indexed objects) in the total conflict set , the conflict severity score is calculated according to the conflict type (spatial conflict or logical conflict) and the construction progress deviation, and the priority of the construction party is introduced , where the conflict severity score is used to quantify the priority of a pair of conflict objects, and the larger the value, the more serious the conflict, and it is sorted by score to obtain the scheduling priority;

[0170] In this embodiment, the conflict type, construction progress deviation, and construction party priority are normalized respectively:

[0171] wherein , (the conflict type includes a spatial conflict (taking a value of 0.5) and a logical conflict (taking a value of 1.0)); in the formula, represents the normalized conflict type factor, which takes a value range of , used to distinguish the severity of spatial conflicts and logical conflicts;

[0172] ; ;

[0173] This represents the maximum schedule deviation used for normalization; Indicates the first Each construction object at any time Construction progress deviation After the maximum schedule deviation The range of values ​​for the normalized result This is used to reflect the degree of deviation between the progress of the construction project and the plan; Indicates the first Each construction object at any time Construction progress deviation After the maximum schedule deviation The range of values ​​for the normalized result This is used to reflect the degree of deviation between the progress of the construction project and the plan;

[0174] Depend on If the contractor's priority is the maximum value (priority is coded from 1 to 5), then the contractor's priority is normalized as follows:

[0175] ; ;

[0176] In the formula, Indicates the construction object The priority value of the contractor (integer code, such as 1-5) is used to indicate the priority of the contractor in construction coordination; Indicates the construction object Priority value of the contractor (integer code, such as 1-5); Indicates the first The priority of the contractor to which each construction project belongs After the highest priority The range of normalized values This is used to reflect the relative priority of the contractor; Indicates the first The priority of the contractor to which each construction project belongs After the highest priority The range of normalized values This is used to reflect the relative priority of the contractor;

[0177] When generating scheduling priorities, the multi-objective adjustment module 42 considers the total conflict set. Each pair of conflicting objects Calculate the conflict severity score:

[0178] ;

[0179] wherein, is a weight coefficient representing conflict type; is a weight coefficient representing construction progress deviation; is a weight coefficient representing contractor priority, and is adjusted according to construction strategy or real-time feedback; is a conflict severity score, and the greater the conflict severity score, the more serious the conflict, which is ranked higher in scheduling priority, thereby providing a quantitative basis for subsequent multi-objective optimization scheduling;

[0180] On the basis of scheduling priority, a multi-objective optimization function is constructed with the optimization objectives of minimizing actual progress deviation, minimizing resource load fluctuation, and minimizing the number of conflicts, and cost constraints, construction sequence constraints, resource availability constraints, and safety distance constraints are introduced;

[0181] The multi-objective optimization function is solved by a Pareto frontier search method to obtain a Pareto optimal solution set ;

[0182] When the target conflicts, the multi-objective adjustment module 42 adopts a harmonic strategy based on weight self-adaptive adjustment to screen out candidate solutions that balance each target in the Pareto optimal solution set ;

[0183] The Pareto optimal solution set is sorted and screened to obtain an optimal scheduling scheme , and a scheduling result set is generated, wherein, represents a construction object; represents the planned start time of the construction object; represents the planned end time of the construction object; represents the resource allocation (including specific resource allocation information such as equipment type, number of personnel, and material consumption) allocated to the construction object;

[0184] The scheduling result includes the start and end time of the construction object and the resource allocation, and is output to the scheduling execution end of the construction site and flows back to to update the construction progress (the is issued to the execution end and written back to the GIS attribute table and the progress data set: for each , the scheduling information is written into , and is updated accordingly; at the same time, the summary (hash / signature) of is stored for traceability);

[0185] In this embodiment, the multi-objective optimization function:

[0186]

[0187] wherein, denotes a scheduling scheme, i.e. a combination of start-end time and resource allocation for each construction object within a given time interval; denotes a progress deviation, used to measure the scheduling scheme under which the cumulative deviation between actual progress and planned progress of each construction object; denotes a resource load fluctuation, used to measure the scheduling scheme under which the overall resource usage fluctuates over time; denotes the number of conflicts, used to measure the scheduling scheme under which the number of spatial conflicts and logical conflicts occurs;

[0188] wherein the actual progress deviation is minimized:

[0189]

[0190] the resource load fluctuation is minimized:

[0191]

[0192] the number of conflicts is minimized:

[0193]

[0194] wherein, denotes the index of a construction object, the index range covers all construction objects (including construction segments, construction processes and construction equipment) involved in the scheduling scheme used to accumulate the progress deviation of each construction object; denotes the sum of absolute values of all construction object progress deviation amounts, used to measure the deviation degree of overall construction progress; denotes the total resource occupancy at time under the scheduling scheme , usually including the total of equipment, personnel and materials and other resources; denotes the standard deviation of total resource occupancy over time under the scheduling scheme , used to reflect the fluctuation of resource usage, the smaller the value, the more balanced the resource usage; denotes the standard deviation operation, used to measure the fluctuation degree of resource usage over time; denotes the total resource occupancy at time under the scheduling scheme a conflict set, including conflict objects of spatial conflict and logical conflict; representing the number of conflicts under the scheduling scheme , i.e. the cardinality of the conflict set, for measuring the frequency of conflict occurrence;

[0195] Further, the optimal solution set is first solved by using Pareto front search (or NSGA-II, etc.) : Specifically, in the embodiment, the NSGA-II algorithm is preferred, and the specific steps include population initialization, non-dominated sorting, crowdedness calculation and selection, crossover mutation operation and iteration update, and the population size is set to 100, the maximum iteration number is set to 200, the crossover probability is set to 0.9, and the mutation probability is set to 0.1; and the convergence judgment condition is set as: when the improvement amplitude of the hypervolume index (Hypervolume) of the Pareto front solution set in the continuous 20 iterations is less than 1%, the iteration is terminated in advance;

[0196] If a single executable scheme needs to be selected from the Pareto set, a weight adaptive score is used:

[0197] Given the weight vector (weight update is adjusted by an online learner, and the online learner uses linear regression update (based on historical scheduling scheme and actual deviation, minimizes the prediction error to update the weight) or sliding weighted average algorithm (by setting a time window, the recent feedback target deviation is weighted and averaged, and the weight is dynamically corrected)), the weighted score of the candidate solution is calculated:

[0198]

[0199] and the solution that makes the minimum is selected as the optimal scheduling scheme ; or the candidate solutions are first prioritized by using the conflict severity score, and then the final solution is selected by using the weighted score;

[0200] In the embodiment, the sorting and screening of the optimal solution set preferably use the above-mentioned weighted score method;

[0201] The weight adaptive adjustment mechanism means that if it is found in the historical segment / real-time feedback that a target (such as safety / progress) is more important, the weight value of the target is dynamically increased;

[0202] wherein the optimal scheduling scheme :

[0203]

[0204] wherein, represents the candidate solution a weighted scoring function; represents a scheduling scheme, any candidate solution (i.e. candidate solution) in the Pareto optimal solution set, contains the start and end time of each construction object and resource allocation; represents the optimal solution set obtained by Pareto front search, contains the candidate scheduling scheme set that cannot be dominated under multi-objective optimization; represents the optimal scheduling scheme, i.e. in the Pareto optimal solution set , the final execution scheme obtained by sorting and screening;

[0205] The scheduling result set at least includes object identification, scheduling time window and resource allocation, in the preferred embodiment, regarding the scheduling result set , for each construction object , includes the following parameters (i.e. the output structure of the scheduling result set , which is used to map the mathematical optimization result to the actual construction scheduling instruction set):

[0206] Object identification: (or graph node ID);

[0207] Scheduling time window: (specific timestamp or time period);

[0208] Resource allocation: (equipment / personnel / material);

[0209] Cost allocation: (money value);

[0210] Expected progress impact: (progress improvement / deviation prediction under the scheme);

[0211] Conflict resolution description: conflict pair involved and resolution measures (such as adjustment order, delay, resource addition);

[0212] Contractor information: (responsible unit);

[0213] Acceptance flag / execution status: (such as issued / pending confirmation / executed / rollback);

[0214] The multi-objective adjustment module 42 is used to realize the comprehensive coordination and automatic reconciliation of construction progress deviation, resource occupation and space / logical conflict, ensure the multi-contractor collaborative construction of construction task under budget constraint, so as to reduce manual intervention and improve the automation and intelligent level of construction scheduling;

[0215] Among them, the cost constraint includes:

[0216] The total resource consumption cost under the scheduling scheme shall not exceed the project funding budget cap;

[0217] The single-class consumption cost of the key resources shall not exceed the preset allocation quota;

[0218] The resource consumption cost of each construction process shall not exceed the unit process threshold;

[0219] The phase-by-phase cumulative consumption cost of each construction phase shall not exceed the phase budget.

[0220] The municipal comprehensive GIS data integration and management system for hub airport construction further comprises a multi-dimensional conflict early warning unit 5, which identifies potential hazard sources of construction objects and construction sites based on the spatial fusion data set and the dynamic progress data set , generates a hazard source set , obtains a safety conflict set by combining the total conflict set , and finally generates a dynamic early warning signal by performing risk level division.

[0221] The multi-dimensional conflict early warning unit 5 comprises a hazard source identification module 51, a safety conflict detection module 52, and an early warning information generation module 53.

[0222] The hazard source identification module 51 identifies potential hazard sources of construction objects and construction sites based on the spatial fusion data set and the dynamic progress data set , extracts the spatial geometric information of the construction objects , and generates a hazard source set in combination with the construction phase, process plan, and equipment type.

[0223] In this embodiment, the spatial geometric information and static attributes of each unified index object are extracted from the spatial fusion data set ;

[0224] In combination with the process plan , equipment type, construction phase, and material information in the spatial fusion data set , potential hazard nodes or areas are identified according to a rule set , and a hazard source set is outputted, wherein,

[0225]

[0226] In the formula, the unified index object At time is determined as a hazard source (e.g. deep foundation pit, high-voltage equipment, flammable storage); represents a unified index object corresponding process plan, from dynamic progress dataset progress attribute (i.e. integrated process plan, equipment type, construction phase and material information); represents a rule set a single rule in, input is geometric information, attribute and process plan, output binary result (1 represents hazard source, 0 represents non-hazard source); represents logical or operation, that is, as long as any one rule is satisfied, it is determined as a hazard source;

[0227] rule set for determining whether a spatial element object constitutes a hazard source, composed of a group of spatial rules, attribute rules and time sequence rules:

[0228] ,

[0229]

[0230] In the formula, represents the geometric information of the spatial element; represents the object attribute (equipment type, construction method, hazard level, material property, etc.); represents the process plan corresponding to the object; represents a rule for determining whether the object satisfies the hazard source condition, and outputs a binary result. If it is 1, it is considered that the object satisfies the hazard source condition;

[0231] Specifically, the spatial rule is specifically:

[0232] If the object is located in a foundation pit area with a depth exceeding , it is marked as a hazard source;

[0233] If the equipment operating range intersects with the high-voltage line buffer area, the equipment object is marked as a hazard source;

[0234] The attribute rule is specifically:

[0235] If the material category in the object attribute = flammable / explosive / toxic, it is marked as a hazard source;

[0236] If the equipment type = crane, and the rated load , it is marked as a hazard source;

[0237] The time sequence rule is specifically:

[0238] If the procedure plan overlaps with the night period , and the object attribute is high-risk operation (such as high-altitude welding), it is marked as a hazard source;

[0239] If the object needs to use multiple types of critical resources (such as electricity + gas + high temperature) at the same time within a certain time window, it is marked as a hazard source;

[0240] Finally, the hazard source identification module 51 identifies the hazard source based on the rule set calculation , if the result is 1, the object at time is added to the hazard source set ;

[0241] The safety conflict detection module 52 detects safety conflicts in the construction site based on the hazard source set and the total conflict set , and outputs the safety conflict set , wherein the safety conflict includes personnel and equipment conflict, equipment and environment conflict, engineering logic and safety conflict superposition;

[0242] The early warning information generation module 53 classifies the risk level based on the safety conflict set and generates dynamic early warning information.

[0243] In this embodiment, the personnel and equipment conflict detection:

[0244] When the construction personnel activity area ( from the site positioning) and the high-risk construction equipment operation track (from the device GPS / position monitoring) have an intersection, and the safety distance constraint is not met , it is marked as a personnel and equipment conflict , and added to the safety conflict set ;

[0245] Device and environment conflict detection:

[0246] When the operation range of large construction machinery and equipment overlaps with the hazard source area, and the device operation parameters (such as load, inclination, vibration) exceed the safety threshold , it is determined as a device-environment conflict , and added to ;

[0247] Engineering logic and safety conflict superposition:

[0248] When the procedure logic conflict in the logic conflict set is associated with the hazard source node at the same time:

[0249] If there exists and associated with the above logical conflict object (e.g. sharing the same site location or time window overlap), its risk level is promoted and the conflict is added to with high risk level, where represents the hazard source object; represents the set of logical conflicts at time

[0250] The final set of safety conflicts output by the safety conflict detection module 52 is:

[0251] where represents the set of safety conflicts at time represents the set of personnel and equipment conflicts; represents the set of equipment and environment conflicts; the set of safety conflicts can be further extended to other types of safety conflicts, such as personnel-environment conflicts, procedure-hazard source conflicts, etc.

[0252] and additional metadata (involving object pair, time window, location (spatial coordinates or construction section), risk level, related contractor identification , etc. are attached to each conflict record;

[0253] Further, the set of safety conflicts generate a hierarchical warning identifier according to the severity of the conflict (e.g. whether it simultaneously satisfies the logical conflict and the high-risk node association, whether it involves the risk of personnel injury, whether it exceeds the safety threshold of the equipment) ;

[0254] generate a warning message package :

[0255]

[0256] where represents the unique identifier of the conflict for tracing; represents the conflict type; represents the construction location or spatial coordinates where the conflict occurs; represents the severity classification of the conflict; represents the timestamp of the conflict occurrence; represents the safety conflict warning message generated at time ​​​Not only for real-time grading prompt and alarm linkage of conflict events, but also as a data interface of dispatch system and supervision platform, to realize traceable, quantifiable and automatic disposal of conflict events, so as to significantly improve the safety management level of construction site and the collaborative efficiency of multiple construction parties;

[0257] The early warning message package is synchronized to the construction site dispatch execution end and the safety supervision platform, to realize real-time prompt, alarm linkage and disposal suggestion.

[0258] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above examples, and the above examples and descriptions in the specification are only preferred examples of the present application and are not intended to limit the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A municipal comprehensive GIS data integration and management system for hub airport construction, characterized in that, Comprise: A data acquisition unit (1) is configured to acquire spatial geographic parameters, construction parameters and traffic operation parameters, and construct an original multi-source data set , and to preprocess the original multi-source data set and output a standardized data set . a space modeling and GIS fusion unit (2) that establishes a three-dimensional GIS database based on the standardized data set , for topological modeling of municipal elements and airport main works, outputting a spatial fusion data set ; The construction progress monitoring unit (3) is used for binding the construction plan process and the airport main body engineering space object, and updating the construction progress in real time based on the equipment operation state, the material supply state and the process execution condition, and generating a dynamic progress data set ; A device scheduling and resource management unit (4) generates a total conflict set based on the spatial fusion dataset and the dynamic progress dataset Meanwhile, based on the total conflict set , and introduces the priority of the construction party to calculate the conflict severity score to build the conflict severity score, through the construction of a multi-objective optimization function, the Pareto front search is solved to obtain the Pareto optimal solution set ;​ Wherein, the device scheduling and resource management unit (4) comprises a conflict detection module (41) and a multi-objective adjustment module (42), and the conflict detection module (41) comprises a spatial conflict submodule and an engineering logic conflict submodule; The space conflict sub-module is used for detecting space adjacent conflicts between different main body engineering elements and municipal supporting elements in a construction site, and the space conflict set is output through the topology relationship of an adjacency matrix to accelerate conflict detection . The engineering logic conflict sub-module is used for automatic detection of logical contradictions in the construction site, and outputs a logic conflict set Meanwhile, the total conflict set is generated by comprehensively considering the spatial conflict and the logic conflict The specific steps are as follows: Spatial fusion dataset For any two spatial feature objects And The Euclidean distance between the two spatial feature objects is calculated And compared with the adaptive adjacency threshold ; when the euclidean distance ≤ adaptive adjacency threshold a spatial conflict is determined to exist and a conflict identification is output , otherwise ; And through the topology relationship of adjacency matrix of accelerating conflict detection, while outputting spatial conflict set ; Meanwhile, based on the dynamic progress dataset For any two construction objects And Determine whether their process plan sets overlap in the time interval and whether the total amount of resources they require exceeds the available resource constraints; When the process plans of different construction objects exist intersection in the same time interval, and the total resource demand exceeds the available resource capacity, then there is an engineering logic conflict and the conflict identifier is output, and all conflict pairs that meet the conditions are collected and output as a logic conflict set ; Meanwhile, based on the spatial conflict and the logical conflict, a total conflict set is generated ; The multi-objective adjustment module (42) generates a coordinated equipment and resource scheduling scheme based on the spatially fused dataset with dynamic progress data sets , performs multi-objective optimization on the construction resource scheduling scheme, and generates a coordinated equipment and resource scheduling scheme; A multi-dimensional conflict early warning unit (5) based on a spatial fusion data set and a dynamic progress data set identifies construction objects and potential hazards in the construction site and generates a hazard source set , in combination with the total conflict set to obtain a safety conflict set , and finally generates dynamic early warning information by performing risk level division. 2.The municipal comprehensive GIS data integration and management system for hub airport construction of claim 1, characterized in that, The spatial geographic parameters at least include longitude and latitude coordinates, elevation, underground pipe network nodes and road center line; The construction parameters at least include construction progress, equipment position, material supply and process plan; The traffic operation parameters at least include road traffic and congestion index. 3.The municipal comprehensive GIS data integration and management system for hub airport construction of claim 1, characterized in that, The spatial modeling and GIS fusion unit (2) comprises a three-dimensional spatial modeling module (21), a municipal layer integration module (22) and a spatial fusion output module (23); The three-dimensional space modeling module (21) is based on a standardized data set and extracts a set of spatial objects therefrom and, through three-dimensional reconstruction and coordinate registration, obtains spatial feature objects and constructs a set of spatial features ; The municipal layer integration module (22) is based on a spatial object set , constructs a three-dimensional GIS database by superimposing municipal pipe network, power and drainage layers and establishing topological relations ; The spatial fusion output module (23) is based on a three-dimensional GIS database , a set of joint elements and an adjacency matrix to build a spatial fusion dataset in the form of triples .

4. The municipal comprehensive GIS data integration and management system for hub airport construction according to claim 3, characterized in that, based on the spatial object set , constructing a three-dimensional GIS database , the specific steps are: Spatial object set , defining a set of airport main engineering elements , the set of airport main engineering elements at least includes terminal, runway and taxiway; defining a set of municipal infrastructure elements , the set of municipal infrastructure elements comprises at least based on municipal pipe network, electricity, drainage and roads; based on a set of airport main engineering elements and a set of municipal supporting elements constructing a set of joint elements ; Based on the spatial fusion dataset , the node attributes in and , the Euclidean distance between the two spatial feature objects is calculated , and the adjacency matrix is calculated by introducing an adaptive adjacency threshold ;​ Based on a joint set of elements and an adjacency matrix determining an edge set ; A three-dimensional GIS database is constructed from a set of joint elements and a set of edges ;​ In the three-dimensional GIS database , the node is used for storing the attribute vector , and the edge is used for storing the relationship label .

5. The municipal comprehensive GIS data integration and management system for hub airport construction of claim 1, wherein, The construction progress monitoring unit (3) comprises a construction object binding module (31) and a construction progress generation module (32); The construction object binding module (31) is used to bind the construction procedure plan. With spatial elements Bind the components based on the construction status. Material supply status As well as the execution status of procedures, update the construction progress in real time. and generate an exception flag. ; The construction progress generation module (32) generates the normalized construction progress based on the normalized construction progress At the same time, the progress deviation and the abnormality identifier are introduced The construction object attribute table is written as an extended attribute, and a progress enhanced attribute is formed ; Based on progress enhancement attributes And introduce spatial geometry information , Construct a dynamic progress dataset . 6.The municipal comprehensive GIS data integration and management system for hub airport construction of claim 5, characterized in that, The construction object binding module (31) generates an exception identifier comprises the following steps: binding the spatial element object with the construction plan procedure to build a construction progress mapping set ; Based on the construction state , the material supply state , and the procedure execution state, the actual progress of the construction object is updated ; The updated actual progress is normalized and a construction progress deviation is calculated from the actual construction progress and the planned construction progress When the construction progress deviation is greater than a preset construction progress deviation threshold , an abnormality identifier is triggered . 7.The municipal comprehensive GIS data integration and management system for hub airport construction of claim 1, wherein, The multi-objective adjustment module (42) generates a coordinated device and resource scheduling scheme, and the specific steps are: Based on the total conflict set For each pair of conflict objects in the total conflict set, the conflict severity score is calculated according to the conflict type and the construction progress deviation, and the priority of the contractor is introduced And sort them by score to get the scheduling priority; On the basis of scheduling priority, taking the minimum actual progress deviation, the minimum resource load fluctuation and the minimum conflict number as the optimization target, a multi-objective optimization function is constructed, and cost constraints, construction sequence constraints, resource availability constraints and safety distance constraints are introduced; The multi-objective optimization function adopts a Pareto front searching method to obtain a Pareto optimal solution set ; Pareto optimal solution set Ranking and screening to obtain the optimal scheduling scheme , generating a scheduling result set ; Wherein, the cost constraints include: The total resource consumption cost under the scheduling scheme should not exceed the upper limit of the project fund budget; The single consumption cost of key resources should not exceed the preset allocation quota; The resource consumption cost of each construction process should not exceed the unit process threshold; The cumulative consumption cost of each construction stage should not exceed the stage budget. 8.The municipal comprehensive GIS data integration and management system for hub airport construction of claim 1, characterized in that, The multi-dimensional conflict early warning unit (5) comprises a hazard source identification module (51), a safety conflict detection module (52) and a warning information generation module (53); Wherein, the hazard source identification module (51) identifies the construction object and the potential hazard source of the construction site based on the spatial fusion data set and the dynamic progress data set , extracts the spatial geometric information of the construction object , generates the hazard source set in combination with the construction stage, the process plan and the equipment type ; The safety conflict detection module (52) detects safety conflicts of the construction site based on the hazard source set and the total conflict set and outputs a safety conflict set wherein the safety conflicts include personnel and equipment conflicts, equipment and environment conflicts, and engineering logic and safety conflicts superimposed. The pre-warning information generating module (53) generates the pre-warning information based on the safety conflict set Risk level classification is performed and dynamic pre-warning information is generated.

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