PLM data base-based foundation pressure construction engineering digital management system

Abstract

The invention discloses a PLM data base-based foundation pressure construction worker digital management system, which is characterized in that BIM (Building Information Modeling), GIS (Geographic Information System) and CAD (Computer Aided Design) files are uniformly analyzed and stored through a multi-source data standardization module, and a construction task WBS is automatically generated by utilizing a component-process cross multiplication algorithm; the engineering machinery operation terminal receives a task in real time and collects RTK positioning data, and generates a quadrangle G and PNG-grid compactness map; the three-dimensional visualization module maps the map to the BIM model to realize compaction quality three-dimensional display; the query and export module supports quick statistics and report automatic generation of any polygonal area; the whole foundation compaction process is digitalized, visualized and traceable, and the construction quality and the management efficiency are remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital construction, and in particular to a foundation compaction construction digital management system based on a PLM data base. BACKGROUND

[0002] In recent years, foundation compaction quality has become a key indicator for the safe operation and maintenance of road, bridge, building and other engineering projects. The traditional method usually uses manual recording of compaction times and sand filling method for spot inspection of compaction degree, which has the following defects:

[0003] 1. Design-construction-maintenance data is fragmented, and cannot form a closed loop of "one-to-end";

[0004] 2. Compaction data is archived in paper or scattered electronic table form, which is difficult to trace, count and audit;

[0005] 3. When multiple road rollers work at the same time, task conflicts and missed compaction phenomena occur frequently;

[0006] 4. Quality inspection is point-based, and cannot intuitively reflect compaction uniformity in space.

[0007] Some enterprises have tried to introduce BIM or IoT technology into foundation construction, but existing systems often focus on single-point functions, such as:

[0008] 1. BIM is only used for result display;

[0009] 2. Only mechanical working condition data is collected through IoT;

[0010] 3. Data storage formats are not unified, and coordinate systems are chaotic, which leads to later disconnection with the operation stage.

[0011] Therefore, a system-level solution is needed to realize "design data → construction task → real-time collection → quality evaluation → result delivery" full-link digitalization. SUMMARY

[0012] Therefore, the present application provides a foundation compaction construction digital management system based on a PLM data base to overcome the above-mentioned defects and realize efficient collaboration, precise control and visual management of the whole process of foundation compaction.

[0013] The technical scheme of the present application is as follows:

[0014] A foundation compaction construction digital management system based on a PLM data base, comprising:

[0015] A multi-source data standardization module for parsing BIM, GIS and CAD multi-source format files into structured data and storing them in the PLM data base in a unified coordinate system and component-process classification standard;

[0016] A construction task WBS generation module, in communication with the PLM data base, automatically generates an executable construction task WBS based on the component-process cross combination;

[0017] A construction machinery operation terminal installed on the road roller, for receiving the construction task WBS and displaying the compaction pass number, vehicle speed and task area;

[0018] A collection and storage module, which acquires the road roller coordinates Pn, Pn+1 and wheel width W in real time through RTK, constructs a quadrilateral G, and performs inclusion relationship operation on G and a 1m*1m grid PNG compaction degree map to generate and store the compaction pass number result;

[0019] A three-dimensional visualization module for mapping the PNG compaction degree map to the surface of the BIM model to express the compaction pass number in different colors and realize three-dimensional quality display;

[0020] A query and export module for performing spatial inclusion query on the compaction pass number result according to an arbitrary polygon area G1 and exporting a report.

[0021] Further, the multi-source data standardization module comprises:

[0022] A format analysis submodule that calls a design software API or a third-party SDK to parse IFC, RVT, OSGB and DWG files into a database table;

[0023] A coordinate conversion submodule that converts the parsed coordinates to WGS84 or CGCS2000 coordinate system using a seven-parameter method;

[0024] A classification mapping submodule that encodes and maps components and processes according to GB / T 51301-2018 and GB 50300-2013 standards.

[0025] Further, the construction task WBS generation module further comprises:

[0026] A time-resource binding unit for adding the planned start time, planned end time and road roller number to the WBS node to form a task package that can be issued;

[0027] A task issuing unit for pushing the task package to the construction machinery operation terminal through a 4G / 5G network.

[0028] Further, the collection and storage module adopts the following data structure:

[0029] The quadrilateral G is composed of the continuous two frames of RTK coordinate points Pn, Pn+1 and the wheel width W;

[0030] Each pixel value of the PNG map corresponds to the compaction pass, and the pixel coordinates and the WGS84 coordinates are mapped by an affine transformation.

[0031] Further, the three-dimensional visualization module maps the PNG map to the BIM model triangular net by using the UV coordinates, and supports elevation displacement rendering.

[0032] Further, the query and export module performs a scan line algorithm to determine whether each line segment point of G1 is located inside the quadrilateral Gn, so as to determine the containing or intersecting relationship; and automatically generates a compaction quality report in PDF / Excel format.

[0033] Beneficial effects:

[0034] 1. The PLM data base is used to automatically parse BIM, GIS and CAD full design data, unify coordinates and codes, and directly drive the generation of construction task WBS, so that the data link of "design → construction → delivery" is connected.

[0035] 2. The system maps the compaction passes to the BIM three-dimensional model in color gradient in real time by relying on RTK 10Hz high-frequency positioning and PNG-grid map technology; uneven compaction, missing compaction and overspeed in any area can be located and alarmed.

[0036] 3. The system adopts spatial indexing and scan line algorithm, and only needs to select a polygon area on the Web, so that a PDF / Excel compaction quality report delivery package in accordance with GB 50300-2013 can be automatically generated, thereby reducing the completion data arrangement period. DETAILED DESCRIPTION

[0037] Figure 1 It is a whole function block diagram of the system.

[0038] Figure 2 It is a spatial and process "cross-multiplication" combination schematic diagram.

[0039] Figure 3 It is a device installation schematic diagram for collecting spatial information in the construction process of the road roller by using RTK.

[0040] Figure 4 It is a three-dimensional visualization effect diagram of the compaction degree of the foundation in the construction area. DETAILED DESCRIPTION

[0041] The application will be described in detail below with reference to the drawings and examples.

[0042] The application provides a foundation compaction construction digital management system based on a PLM data base, as shown in the figure, which comprises: Figure 1

[0043] ​1. System overall architecture

[0044] The system includes six core subsystems:

[0045] A. Multi-source data standardization module

[0046] B. Construction task WBS generation module

[0047] C. Engineering mechanical operation terminal

[0048] D. Acquisition and storage module

[0049] E. Three-dimensional visualization module

[0050] F. Query and export module

[0051] 2. Detailed composition and data flow

[0052] A. Multi-source data standardization module

[0053] Format analysis submodule: integrate Revit API, GDAL, FME SDK, support IFC4, RVT, OSGB, DWG, etc. 12 kinds of mainstream format analysis;

[0054] Coordinate conversion submodule: built-in Boolean Sha-Wolf seven-parameter model, supports WGS84, CGCS2000, local coordinate system bidirectional conversion;

[0055] Classification mapping submodule: compatible with GB / T 51301-2018, GB 50300-2013 and user-defined enterprise standards, realizes multi-granularity coding of component level, process level and inspection batch level.

[0056] B. Construction task WBS generation module

[0057] Component-process cross-multiplication algorithm: take the spatial object set S and the process set P to do Cartesian product SxP, generate the smallest executable task node; through the modeling of BIM model, the work items required by the construction plan can be obtained, that is, a process is carried out in a certain space, in order to facilitate the description of the WBS of the construction plan, the space classification and the process classification can be combined through the element as the judgment condition, "cross-multiplication" combination, combined into a data structure, such as "B plot / basement / -2f / earthwork / earthwork excavation", the combination situation is as shown in Figure 2 .

[0058] Time-resource binding unit: automatically associate construction calendar, road roller shift, operator shift team, generate 4D-BIM task package;

[0059] Through the above steps, the construction task WBS of the space and process combination based on the element classification has been obtained. Through the completion of the plan preparation by supplementing the construction task WBS with the construction estimated time, the road roller number and other information, the task can be issued to the work terminal of the engineering machinery (road roller).

[0060] Task issuing unit: pushed to the airborne terminal through MQTT over 4G / 5G network.

[0061] C. Engineering machinery work terminal

[0062] Hardware: 10.1 inch industrial touch panel (IP65), built-in RTK mobile station, 4G / 5G communication module, CAN bus interface;

[0063] Software: embedded Linux + Qt graphical interface, which can display task profile, real-time vehicle speed, compaction frequency heat map, overspeed / missed compaction alarm.

[0064] D. Acquisition and storage module

[0065] Real-time acquisition: RTK base station broadcasts differential signals, and the terminal outputs Pn(x, y, z) and heading angle θ at a frequency of 10 Hz. The work display terminal of the engineering machinery and the acquisition sensor of the construction process data can be completed through front mounting or rear mounting, and the actual working machinery is the main one, Figure 3 The installation example of the equipment for acquiring spatial information of the road roller during construction through RTK is shown in the figure. RTK is used to obtain real-time coordinate information of the road roller, and the vehicle-mounted display terminal is used to display construction task information, current area compaction frequency, vehicle speed, etc.

[0066] Quadrilateral G structure: G = f(Pn, Pn+1, W), where W is the width of the road roller steel wheel; during the operation of the road roller, the compaction frequency of the foundation and other data are mainly collected. The road roller construction process data can be composed of the quadrilateral G composed of Pn, Pn+1 and W collected by the storage RTK in the time dimension.

[0067] PNG-grid map: divide the construction area into 1m×1m grid, store the compaction frequency, last rolling time, machine number, operator ID four-element information in each pixel RGBA value;

[0068] Storage strategy: use PostGIS + TimescaleDB time series partition table, support 500 devices parallel writing, peak 500,000 / s.

[0069] E. Three-dimensional visualization module

[0070] Engine: CesiumJS + WebGL2, supports 1 million triangles, 60FPS rendering;

[0071] UV mapping: PNG map is mapped to BIM surface by affine transformation, supporting elevation displacement mapping, and truly presenting the terrain relief after rolling; Figure 4 For compaction degree slice map, define the UV coordinates (texture mapping coordinate system in computer graphics) required for graphic rendering to realize three-dimensional display of compaction degree (if the elevation change of the slice needs to be expressed, define the vertex coordinates of the middle triangle for graphic rendering); By the iteration map, the compaction quality of the construction area can be intuitively obtained, and by loading the compaction sensor, the compaction quality can be obtained. Figure 4

[0072] Multi-terminal: PC browser, Pad, VR head-mounted display synchronous browsing.

[0073] F. Query and export module

[0074] Spatial query: scan line algorithm based on R-Tree index, if the compaction condition (such as B plot) under a specific space (polygon area G1) needs to be exported, it can be obtained based on polygon-polygon (quadrilateral Gn composed of Pn, Pn+1 and W) inclusion query, the polygon-polygon inclusion query can be simplified as polygon-point inclusion relationship (scanning method, etc.), if any line segment point P of G1 is in Gn, it is included, and if part of it is in Gn, it is intersected.

[0075] Data interface: RESTful API, supporting seamless connection of third-party quality inspection, cost, and operation and maintenance systems.

[0076] The basic ground compaction construction digital management method of the system includes the following steps:

[0077] S1: parse and standardize BIM, GIS, and CAD multi-source format files into the database to form a PLM data foundation; call Revit API, IFC SDK, or FME parser to extract geometric and attribute information; and complete coordinate conversion by using a Boolean seven-parameter model.

[0078] S2: automatically generate construction task WBS based on component-process cross-multiplication combination;

[0079] S3: distribute WBS to the road roller operation terminal;

[0080] S4: during the operation process, real-time collect the RTK coordinates of the road roller and the compaction times, generate quadrilateral G and PNG compaction degree map; when the speed of the road roller is greater than the set speed, trigger the overspeed alarm and record the abnormal marker;

[0081] The compaction times of the same grid are accumulated in real time, and when the accumulated value is greater than or equal to the design value, the terminal displays the “completed” state.

[0082] ​S5: PNG map is mapped to BIM model for 3D visualization;

[0083] S6: Query and export compaction quality report according to demand area, user draws arbitrary polygon G1 through Web GIS interface; backend uses PostGIS spatial function ST_Contains to complete inclusion query, and returns JSON format statistical data.

[0084] To sum up, the above is only the preferred embodiment of the present application, and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A digital management system for foundation compaction construction based on PLM data base, characterized by: include: Multi-source data standardization module, used to parse BIM, GIS, and CAD multi-source format files into structured data and store them in the PLM data base using a unified coordinate system and component-process classification standards; A construction task WBS generation module communicates with the PLM data base and automatically generates an executable foundation compaction construction task WBS based on a component-process cross product combination; The engineering machinery operation terminal is installed on the road roller, and is used to receive the construction task WBS and display the number of compaction passes, vehicle speed and task area; The acquisition and storage module uses RTK to obtain the roller coordinates Pn, Pn+1 and wheel width W in real time, constructs a quadrilateral G, and performs an inclusion relationship operation between G and a 1m×1m grid PNG compaction map to generate and store the compaction pass results. A three-dimensional visualization module is used to map the PNG compaction map onto the BIM model surface, expressing the number of compaction passes with different colors to achieve three-dimensional quality display; The query and export module is used to perform spatial inclusion query on the compaction pass results according to any polygonal area G1 and export the report.

2. The system according to claim 1, wherein: The multi-source data standardization module includes: The format parsing submodule calls the design software API or third-party SDK to parse IFC, RVT, OSGB, and DWG files into database tables; The coordinate conversion submodule uses the seven-parameter method to unify the resolved coordinates into the WGS84 or CGCS2000 coordinate system; The classification mapping submodule performs coding mapping of components and processes based on GB / T 51301-2018 and GB 50300-2013 standards.

3. The system according to claim 1 or 2, characterized in that The construction task WBS generation module further includes: The time-resource binding unit is used to attach the planned start time, planned end time, and roller number to the WBS node to form a task package that can be distributed; The task issuing unit pushes the task package to the engineering machinery operation terminal through the 4G / 5G network.

4. The system according to claim 1, wherein: The acquisition and storage module adopts the following data structure: The quadrilateral G is composed of two consecutive frames of RTK coordinate points Pn and Pn+1 and the wheel width W; Each pixel value of the PNG map corresponds to the number of compaction passes, and the pixel coordinates and WGS84 coordinates are mapped through affine transformation.

5. The system according to claim 1 or 4, characterized in that The 3D visualization module maps the PNG texture to the BIM model triangulation network using UV coordinates and supports elevation displacement rendering.

6. The system according to claim 1, wherein: The query and export module executes a scan line algorithm to determine whether all line segment points of G1 are located inside the quadrilateral Gn, thereby determining the inclusion or intersection relationship; and automatically generates a compaction quality report in PDF / Excel format.

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