Intelligent construction method and system based on digital twin

Abstract

The present invention discloses a smart construction method and system based on digital twins, which relates to the field of digital twin technology, including a control center, wherein the control center is connected to a data acquisition module, a data processing module, a twin analysis module and a smart construction module; building preparation data and comprehensive building data are collected through the data acquisition module; a building twin space is constructed in the data processing module to convert the comprehensive building data graphics to obtain a building three-dimensional image sequence; the building three-dimensional image sequence is intercepted in a standardized manner in the twin analysis module to obtain a characteristic standardized three-dimensional sequence; in the smart construction module, the building preparation data is balanced and prepared through the building twin space, and the expected progress is determined with the characteristic standardized three-dimensional sequence to obtain a standard construction period and an abnormal construction period; the efficiency and safety of construction project management are improved, and the efficient integration and sharing of various types of data are improved.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and specifically to an intelligent construction method and system based on digital twin. Background Art

[0002] Digital twin is an advanced integrated technology that simulates real-world objects, systems or processes by creating a virtual model of a physical entity. This virtual model is a dynamic digital mirror that can map and reflect the state, behavior and performance of its physical counterpart in real time.

[0003] Digital twins in the construction industry usually refer to a virtual building model that fully corresponds to the actual construction project. It can simulate and predict the structure, function and performance of the building in the digital space. Compared with the many problems existing in the traditional construction methods in the construction industry, such as information islands, low coordination efficiency, and difficult quality control, digital twin technology will promote the upgrading and optimization of the construction field. Through digital twin technology, a three-dimensional virtual model that fully corresponds to the real construction project is created to realize the simulation, analysis and optimization of the entity in the virtual world. Through efficient simulation, analysis and prediction capabilities, it can not only improve management and operational efficiency, but also enhance the accuracy and foresight of decision-making, which plays a vital role in realizing intelligent and efficient social management.

[0004] The existing virtual building models lack real-time updates and intelligent construction of digital twins. The quality, efficiency and safety optimization rates of construction projects are low, and they cannot promote the intelligent and digital transformation of the construction industry. To this end, we now provide intelligent construction methods and systems based on digital twins. Summary of the invention

[0005] The purpose of the present invention is to provide a smart construction method and system based on digital twins.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A smart construction system based on digital twins includes a control center, wherein the control center is connected to a data acquisition module, a data processing module, a twin analysis module, and a smart construction module;

[0008] The process of the data acquisition module acquiring building preparation data and comprehensive building data includes:

[0009] Set up the construction input terminal and fusion capture terminal;

[0010] Pre-collect information about the building area through the construction input terminal to obtain building preparation data;

[0011] By fusion capturing end, data of building area is collected to obtain comprehensive building data, and the time of collecting comprehensive building data is marked to obtain capturing time.

[0012] The process of obtaining a sequence of building stereo images includes:

[0013] Constructing a building twin space based on the comprehensive building data obtained;

[0014] Screen the comprehensive building data to obtain the comprehensive building image, and perform stereo conversion on the comprehensive building image based on the building twin space to obtain the three-dimensional building body;

[0015] Setting a homomorphic segmentation axis, setting a segmentation starting point for the obtained three-dimensional building body, and uploading the homomorphic segmentation axis to the segmentation starting point of the three-dimensional building body;

[0016] The three-dimensional building body is equipotentially intercepted through the isomorphic segmentation axis to obtain a sequence of three-dimensional building images.

[0017] The process of isopotentially intercepting a three-dimensional building through a homomorphic segmentation axis includes:

[0018] Based on the segmentation starting point, the three-dimensional building body is horizontally segmented according to the homomorphic segmentation axis to obtain a sliced ​​building diagram;

[0019] According to the segmentation starting point, the segmentation axis distance is set, and the homomorphic segmentation axis is horizontally slid according to the segmentation axis distance based on the three-dimensional building body to reach the next axis distance point, and the three-dimensional building body is horizontally segmented according to the homomorphic segmentation axis based on the axis distance point to obtain a sliced ​​building diagram;

[0020] Based on the axis distance, the homomorphic segmentation axis is sequentially slid until the terminal axis distance point is reached, and the sliced ​​architectural images are sorted to obtain a sequence of architectural stereoscopic images.

[0021] The process of obtaining the capture level includes:

[0022] Setting a standard scale, and performing standard correction on the building stereoscopic image sequence according to the standard scale to obtain a standard stereoscopic image sequence, wherein the standard stereoscopic image sequence includes a plurality of standard slice images;

[0023] Set the planning capture coefficient, capture changes to the planning capture coefficient, and obtain planning parameters;

[0024] Adjust the planning capture coefficient according to the planning parameters to obtain the planning spacing;

[0025] The capture level is obtained according to the obtained planning parameters, planning spacing and planning capture coefficient.

[0026] The process of obtaining a characteristic canonical stereo sequence includes:

[0027] The planned capture coefficient is intercepted by the capture series to obtain the capture coefficient segment;

[0028] A slice extraction frame is set according to the standard slice image, and the capture coefficient segment is uploaded to the slice extraction frame. The standard stereo image sequence is multi-sided intercepted by the slice extraction frame to obtain a characteristic standard stereo sequence, and the obtained characteristic standard stereo sequence is associated with the corresponding capture time.

[0029] The process of obtaining the standard construction period and the abnormal construction period includes:

[0030] Upload the building preparation data to the building twin space, perform balanced preparation processing on the building preparation data through the building twin space, and obtain a three-dimensional sequence of the prepared building;

[0031] Perform construction period matching on the building preparation data to obtain construction period matching points, and associate the obtained construction period matching points with the corresponding three-dimensional sequence of the prepared buildings;

[0032] The captured time is matched according to the construction period matching points to obtain the construction period matching standard sequence and the construction period matching preparatory sequence, and the expected progress is determined for the construction period matching standard sequence and the construction period matching preparatory sequence to obtain the standard construction period and the abnormal construction period.

[0033] Based on the above-mentioned smart construction system based on digital twin, the present invention also provides a smart construction method based on digital twin, comprising the following steps:

[0034] Step 1: Collect building preparation data and comprehensive building data;

[0035] Step 2: Construct the building twin space to screen and convert the comprehensive building data into three-dimensional images, obtain the three-dimensional building body, set the isomorphic segmentation axis to perform equipotential interception on the three-dimensional building body, and obtain a sequence of three-dimensional building images;

[0036] Step 3: Set the standard scale to perform standard correction on the building stereo image sequence to obtain the standard stereo image sequence, transform the planned capture coefficient to obtain the capture series, intercept the planned capture coefficient through the capture series to obtain the capture coefficient segment, set the slice extraction frame according to the capture coefficient segment and perform polygon interception on the standard stereo image sequence to obtain the characteristic standard stereo sequence;

[0037] Step 4: Perform balanced preparation processing on the building preparation data through the building twin space to obtain the three-dimensional sequence of the prepared buildings, match the construction period of the building preparation data to obtain the construction period matching points, and use the construction period matching points to determine the expected progress of the construction period matching standard sequence and the construction period matching preparation sequence to obtain the standard construction period and the abnormal construction period.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] Construct a building twin space to convert comprehensive building data graphics, obtain a building stereoscopic picture sequence, perform standardized interception on the building stereoscopic picture sequence, and obtain a feature standardized stereoscopic sequence; by constructing a twin space, standardize the collection of different types of construction data during the construction process, realize real-time updating of the digital twin model, provide intelligent decision-making support for project managers, and improve project management efficiency;

[0040] The building preparation data is processed in a balanced manner through the building twin space, and the expected progress is determined by comparing it with the characteristic specification three-dimensional sequence to obtain the standard construction period and the abnormal construction period; the construction project data is processed in the same standardized manner to determine the construction progress, which is beneficial to improving the quality, efficiency and safety of construction projects, optimizing resource allocation and improving construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a structural schematic diagram of the intelligent construction system based on digital twins of the present invention. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] like Figure 1 As shown, the smart construction system based on digital twins includes a control center, and the control center is connected to a data acquisition module, a data processing module, a twin analysis module and a smart construction module;

[0045] The data acquisition module is used to collect building preparation data and comprehensive building data, and the specific process includes:

[0046] Set up the construction input terminal and fusion capture terminal;

[0047] Pre-collect information about the building area through the construction input terminal to obtain building preparation data;

[0048] Furthermore, the construction area refers to an area where construction is to be carried out, and the pre-collected information refers to data information reported in advance to relevant departments before the construction area is divided for construction, including construction drawings, project schedule, building performance data, construction equipment information, and environmental monitoring information;

[0049] The data of the building area is collected by the fusion capture end to obtain the comprehensive building data, and the time of collecting the comprehensive building data is marked to obtain the capture time, and the obtained capture time is associated with the corresponding comprehensive building data;

[0050] Furthermore, the comprehensive construction data obtained includes construction progress, equipment status and environmental parameters, wherein the construction progress is to collect images of the construction area to obtain a real-time construction status picture, that is, a status picture corresponding to the capture time. Similarly, the equipment status data is also obtained through image collection to obtain the construction status of the corresponding construction equipment.

[0051] The data processing module is used to construct the building twin space to convert the comprehensive building data graphics to obtain a building stereoscopic picture sequence. The specific process includes:

[0052] Constructing a building twin space based on the comprehensive building data obtained;

[0053] Furthermore, the building twin space is constructed based on the building data in the comprehensive building data, converting the buildings in the real building area into virtual three-dimensional models, and constructing the twin space corresponding to the actual building project through the BIM model;

[0054] Performing pattern screening on the obtained comprehensive building data to obtain a comprehensive building image;

[0055] Furthermore, the pattern screening means obtaining image information related to the building area in the obtained comprehensive building data, that is, the comprehensive building image;

[0056] Based on the building twin space, the obtained comprehensive building image is stereo-converted to obtain a three-dimensional building body;

[0057] Further, the stereo conversion means that the comprehensive building image obtained by pattern screening is converted into a three-dimensional model through BIM, that is, the obtained comprehensive building image is converted into a three-dimensional building model, and according to different capture times, there is a corresponding comprehensive building image at each capture time; for example, at the same capture time, the building image of building a1 and the building image of building a2 in the building area are respectively converted into three-dimensional models to obtain a three-dimensional building body a1 and a three-dimensional building body a2; in particular, the obtained three-dimensional building body is the geometric form of the building, and according to the information included in the comprehensive building data, the converted three-dimensional building body also includes material properties, performance and construction technology related to the building;

[0058] Setting a homomorphic segmentation axis, wherein the homomorphic segmentation axis is an axis for segmenting the three-dimensional model;

[0059] Setting a segmentation starting point for the obtained three-dimensional building body, and uploading the obtained homomorphic segmentation axis to the segmentation starting point of the three-dimensional building body, wherein the segmentation starting point represents a starting point selected in the three-dimensional building body for translating the homomorphic segmentation axis, and is generally set at the bottom of the three-dimensional building body, that is, segmentation starts from the bottom of the building;

[0060] According to the obtained isomorphic segmentation axis, the three-dimensional building body is equipotentially intercepted to obtain a sequence of three-dimensional building images;

[0061] It should be further explained that, in the specific implementation process, the process of equipotential interception includes:

[0062] Based on the segmentation starting point, the three-dimensional building body is horizontally segmented according to the obtained homomorphic segmentation axis to obtain a sliced ​​building diagram;

[0063] The horizontal segmentation means that the homomorphic segmentation axis segments the three-dimensional building body in the horizontal direction at the segmentation starting point to obtain a sliced ​​building image; in particular, in order to make the obtained sliced ​​building image approximate to a picture, the set segmentation starting point needs to be close enough to the edge of the three-dimensional building body so that the sliced ​​building image obtained by the first horizontal segmentation approximates to a picture;

[0064] The segmentation axis distance is set according to the set segmentation starting point, and the segmentation axis distance represents the distance of the homomorphic segmentation axis translated to the next position in the three-dimensional building body. Since the sliced ​​building image obtained by horizontal segmentation is similar to a picture, the translation distance needs to be small enough so that after reaching the next position, the sliced ​​building image obtained by horizontal segmentation of the three-dimensional building body is still in the form of a picture;

[0065] Based on the three-dimensional building body, the isomorphic segmentation axis is horizontally slid according to the obtained segmentation wheelbase to reach the next wheelbase point, and based on the wheelbase point, the three-dimensional building body is horizontally segmented according to the isomorphic segmentation axis to obtain a sliced ​​building diagram;

[0066] Furthermore, the wheelbase point represents the position reached in the three-dimensional building body after moving a split wheelbase, and the three-dimensional building body is further horizontally split through the isomorphic split axis at the wheelbase point;

[0067] The homomorphic segmentation axis is sequentially slid based on the segmentation axis distance until the terminal axis distance point is reached, and the obtained sliced ​​architectural images are sorted in the order of sequential sliding to obtain a sequence of architectural stereoscopic images;

[0068] Furthermore, the sequential sliding means that after reaching each wheelbase point for horizontal segmentation, the horizontal sliding continues to the next wheelbase point according to the segmentation wheelbase, until the horizontal sliding reaches the terminal wheelbase point of the three-dimensional building body, thereby completing the horizontal segmentation of the three-dimensional building body, and then sorting the obtained sliced ​​building images according to the order of horizontal segmentation to obtain a sequence of building stereoscopic images.

[0069] The twin analysis module is used to perform standard interception on the building stereo image sequence to obtain a feature standard stereo sequence. The specific process includes:

[0070] Setting a standard scale, wherein the standard scale includes a graphic scale and a channel allowance number;

[0071] The graphic scale represents the number of pixels in the horizontal dimension and the vertical dimension, and is used to determine the resolution of the image. The more pixels in the horizontal dimension and the vertical dimension, the clearer the image. The channel permission number represents the number of colors allowed to pass. For example, if the channel permission number is 3, it means that three colors are allowed to pass.

[0072] Performing standard correction on the building stereo image sequence according to the obtained standard scale to obtain a standard stereo image sequence, and marking the sliced ​​building image after standard correction as a standard slice image;

[0073] Further, the standard correction means that each slice of the building image in the building stereo image sequence is normalized according to the set standard scale, that is, the resolution of the slice of the building image and the number of colors allowed to be recognized are unified to obtain a standard slice image, and the standard slice image is obtained according to the standard slice image based on the building stereo image sequence;

[0074] Marking pixels of the obtained standard stereoscopic image sequence to obtain building pixel points, and marking pixel values ​​at the building pixel points as building pixel values;

[0075] Further, the building pixel point is the position corresponding to each pixel in the standard slice image;

[0076] Setting a planning capture coefficient, wherein the planning capture coefficient is expressed in a function form;

[0077] Capture changes to the obtained planning capture coefficients to obtain planning parameters;

[0078] The capture change represents the scaling and translation changes of the control planning capture coefficients in the time dimension and the frequency dimension, and the parameters of the scaling and translation changes are recorded to obtain the planning parameters;

[0079] According to the obtained planning parameters, the planning capture coefficient is adjusted to obtain the planning spacing;

[0080] The parameter adjustment means that the distance between two adjacent planning parameters is counted in the planning capture coefficient to obtain the planning spacing;

[0081] The capture level is obtained according to the obtained planning parameters, planning spacing and planning capture coefficient, and the obtained capture level is marked as B, where: , G represents the coefficient length of the planned capture coefficient, Indicates the planned spacing. represents the number of planning intervals in the planning capture coefficient, and c represents the planning parameter;

[0082] According to the obtained capture level, the planned capture coefficient is intercepted to obtain a capture coefficient segment;

[0083] Furthermore, the planned capture coefficients are equally intercepted according to the number of capture stages to obtain capture coefficient segments of equal length;

[0084] Setting a slice extraction frame according to the obtained standard slice diagram, wherein the slice extraction frame is a matrix including a plurality of elements;

[0085] The obtained capture coefficient segments are uploaded to the slice extraction frame, and the standard stereo image sequence is multi-sided intercepted by the obtained slice extraction frame to obtain a characteristic standard stereo sequence;

[0086] It should be further explained that, in the specific implementation process, the multilateral interception process includes:

[0087] Upload the slice extraction frame to the first standard slice image of the standard stereoscopic image sequence, and mark the corresponding area of ​​the slice extraction frame in the standard slice image as a slice area;

[0088] Perform feature convolution on the slice area through the slice extraction frame to obtain the standard feature area;

[0089] The feature convolution means convolving the capture coefficient segment in the slice extraction frame with the building pixel value of the building pixel point in the slice area to obtain the convolution feature area;

[0090] According to the order of coefficient interception, the captured coefficient segments are uploaded to the slice extraction frame in sequence. Each time a captured coefficient segment is uploaded, the slice region is subjected to feature convolution by the slice extraction frame to obtain a convolution feature region, until all captured coefficient segments are uploaded to the slice extraction frame and subjected to feature convolution with the slice region. The obtained convolution feature regions are regionally summed to obtain a standard feature region.

[0091] The obtained slice extraction frame is slid forward in the standard slice image to reach the next slice area, and the slice area is feature convolved by the slice extraction frame to obtain the standard feature area, until all areas of the standard slice image are covered, and the obtained standard feature areas are combined according to the standard slice image to obtain the standard feature image;

[0092] Uploading the obtained slice extraction frame to the next standard slice map according to the standard stereo picture sequence, repeating the process of obtaining the standard feature map until all the standard slice maps of the standard stereo picture sequence are covered to obtain a feature standard stereo sequence;

[0093] The obtained characteristic canonical stereo sequences were associated with the corresponding capture times.

[0094] The smart construction module is used to perform balanced preparation processing on the building preparation data through the building twin space, and to determine the expected progress with the characteristic standard three-dimensional sequence to obtain the standard construction period and abnormal construction period. The specific process includes:

[0095] The obtained building preparation data is uploaded to the building twin space, and the building preparation data is subjected to balanced preparation processing through the building twin space to obtain a three-dimensional sequence of the prepared building;

[0096] It should be further explained that, in the specific implementation process, the process of the equalization preparation process includes:

[0097] Screen the building preparation data to obtain the prepared building image, and perform stereo conversion on the prepared building image to obtain the three-dimensional prepared building body;

[0098] Performing equipotential interception of the three-dimensional preparatory building body according to the obtained homomorphic segmentation axis to obtain a preparatory stereoscopic image sequence, and marking the images in the preparatory stereoscopic image sequence as preparatory stereoscopic images;

[0099] Performing multi-sided interception on the prepared stereoscopic picture sequence through a slice extraction frame to obtain a prepared building stereoscopic sequence, wherein the prepared building stereoscopic sequence includes a plurality of standard prepared pictures;

[0100] Perform construction period matching on the building preparation data to obtain construction period matching points, and associate the obtained construction period matching points with the corresponding three-dimensional sequence of the prepared buildings;

[0101] Furthermore, the construction period matching means obtaining the time points related to the construction period in the collected building preparation data, that is, the construction progress that should be completed at the corresponding time point, for example, at the construction period node t1, the construction progress of the n1th stage of building a1 should be completed;

[0102] According to the obtained duration matching points, the capture time is matched and corresponded to obtain a duration matching standard sequence and a duration matching preliminary sequence;

[0103] The matching correspondence means matching the construction period matching point with the capture time, obtaining the capture time that is the same as the construction period matching point, obtaining the characteristic standard stereo sequence associated with the capture time, and recording it as the construction period matching standard sequence, and marking the preliminary building stereo sequence corresponding to the successfully matched construction period matching point as the construction period matching preliminary sequence; in particular, the construction period matching standard sequence and the construction period matching preliminary sequence obtained at the same construction period matching point and capture time are characteristic image sequences corresponding to the same building;

[0104] The expected progress is determined for the obtained construction period matching standard sequence and construction period matching preliminary sequence to obtain the construction period that meets the standard and the construction period that is abnormal;

[0105] It should be further explained that, in the specific implementation process, the process of determining the expected progress includes:

[0106] The obtained construction period matching standard sequence is uploaded to the construction period matching preparatory sequence, and the standard feature map in the construction period matching standard sequence is matched one by one with the standard preparatory map in the construction period matching preparatory sequence, and pixel comparison is performed on the standard feature map and the standard preparatory map at the corresponding positions, and it is calculated whether the difference in the building pixel values ​​of the corresponding building pixel points in the standard feature map and the standard preparatory map at the same position is zero. If the difference in the building pixel values ​​of all corresponding building pixel points in the standard feature map and the standard preparatory map is zero, the comparison is successful, indicating that the construction is standardized according to the construction period standard, that is, each progress of the construction is carried out according to the standard requirements;

[0107] Furthermore, if after the correspondence between the specification feature diagrams in the construction period matching specification sequence and the construction period matching preparation sequence is completed, there are no redundant specification preparation diagrams, that is, the last specification feature diagram in the construction period matching specification sequence and the last specification preparation diagram in the construction period matching preparation sequence exactly correspond to each other, then the building is completed within the expected construction time and the construction period is recorded as meeting the standard;

[0108] If there are still remaining standard preparation drawings after the standard feature drawings in the construction period matching standard sequence are matched with the construction period matching preparatory sequence, it means that the building under construction has not reached the expected planned construction period progress at the construction period matching point, that is, the construction of the building is unqualified and recorded as abnormal construction period;

[0109] In particular, if after the correspondence between the specification feature diagrams in the construction period matching specification sequence and the construction period matching preparatory sequence is completed, there are remaining specification feature diagrams without corresponding specification preparatory diagrams, and the construction of the building is completed at the construction period matching point, and the construction progress is ahead of the construction period, then the construction period of the building corresponding to the construction period matching specification sequence shall be recorded as an abnormal construction period.

[0110] Based on the above-mentioned smart construction system based on digital twin, the present invention also provides a smart construction method based on digital twin, comprising the following steps:

[0111] Step 1: Collect building preparation data and comprehensive building data;

[0112] Step 2: Construct the building twin space to screen and convert the comprehensive building data into three-dimensional images, obtain the three-dimensional building body, set the isomorphic segmentation axis to perform equipotential interception on the three-dimensional building body, and obtain a sequence of three-dimensional building images;

[0113] Step 3: Set the standard scale to perform standard correction on the building stereo image sequence to obtain the standard stereo image sequence, transform the planned capture coefficient to obtain the capture series, intercept the planned capture coefficient through the capture series to obtain the capture coefficient segment, set the slice extraction frame according to the capture coefficient segment and perform polygon interception on the standard stereo image sequence to obtain the characteristic standard stereo sequence;

[0114] Step 4: Perform balanced preparation processing on the building preparation data through the building twin space to obtain the three-dimensional sequence of the prepared buildings, match the construction period of the building preparation data to obtain the construction period matching points, and use the construction period matching points to determine the expected progress of the construction period matching standard sequence and the construction period matching preparation sequence to obtain the standard construction period and the abnormal construction period.

[0115] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A digital twin-based smart construction system, including a control center, characterized in that: The control center is connected to a data acquisition module, a data processing module, a twin analysis module and a smart construction module; The data acquisition module is used to collect building preparation data and comprehensive building data, and the specific process includes: Set up the construction input terminal and fusion capture terminal; Pre-collect information about the building area through the construction input terminal to obtain building preparation data; The data of the building area is collected by the fusion capture end to obtain the comprehensive building data, and the time of collecting the comprehensive building data is marked to obtain the capture time; The data processing module is used to construct the building twin space to convert the comprehensive building data graphics to obtain a building stereoscopic picture sequence. The specific process includes: Constructing a building twin space based on the comprehensive building data obtained; Screen the comprehensive building data to obtain the comprehensive building image, and perform stereo conversion on the comprehensive building image based on the building twin space to obtain the three-dimensional building body; Setting a homomorphic segmentation axis, setting a segmentation starting point for the obtained three-dimensional building body, and uploading the homomorphic segmentation axis to the segmentation starting point of the three-dimensional building body; The three-dimensional building body is intercepted with equal potential through the isomorphic segmentation axis to obtain a sequence of three-dimensional building images; The process of equipotential interception includes: Based on the segmentation starting point, the three-dimensional building body is horizontally segmented according to the homomorphic segmentation axis to obtain a sliced ​​building diagram; According to the segmentation starting point, the segmentation axis distance is set, and the homomorphic segmentation axis is horizontally slid according to the segmentation axis distance based on the three-dimensional building body to reach the next axis distance point, and the three-dimensional building body is horizontally segmented according to the homomorphic segmentation axis based on the axis distance point to obtain a sliced ​​building diagram; Based on the axis distance, the homomorphic segmentation axis is sequentially slid until the terminal axis distance point is reached, and the sliced ​​architectural images are sorted to obtain a sequence of architectural stereoscopic images; The twin analysis module is used to perform standard interception on the building stereo image sequence to obtain a feature standard stereo sequence. The specific process includes: Setting a standard scale, performing standard correction on the building stereo image sequence according to the standard scale, obtaining a standard stereo image sequence, and marking the sliced ​​building image after standard correction as a standard slice image; Set the planning capture coefficient, capture changes to the planning capture coefficient, and obtain planning parameters; Adjust the planning capture coefficient according to the planning parameters to obtain the planning spacing; Obtaining a capture level according to the obtained planning parameters, planning spacing and planning capture coefficient; The planned capture coefficient is intercepted by the capture series to obtain the capture coefficient segment; A slice extraction frame is set according to the standard slice image, and the capture coefficient segment is uploaded to the slice extraction frame. The standard stereo image sequence is multi-sided intercepted by the slice extraction frame to obtain a characteristic standard stereo sequence, and the obtained characteristic standard stereo sequence is associated with the corresponding capture time; The smart construction module is used to perform balanced preparation processing on the building preparation data through the building twin space, and to determine the expected progress with the characteristic standard three-dimensional sequence to obtain the standard construction period and abnormal construction period. The specific process includes: The obtained building preparation data is uploaded to the building twin space, and the building preparation data is subjected to balanced preparation processing through the building twin space to obtain a three-dimensional sequence of the prepared building; The process of the equalization preparatory processing includes: Screen the building preparation data to obtain the prepared building image, and perform stereo conversion on the prepared building image to obtain the three-dimensional prepared building body; Performing equipotential interception of the three-dimensional preparatory building body according to the obtained homomorphic segmentation axis to obtain a preparatory stereoscopic image sequence, and marking the images in the preparatory stereoscopic image sequence as preparatory stereoscopic images; Performing multi-sided interception on the prepared stereoscopic picture sequence through a slice extraction frame to obtain a prepared building stereoscopic sequence, wherein the prepared building stereoscopic sequence includes a plurality of standard prepared pictures; Perform construction period matching on the building preparation data to obtain construction period matching points, and associate the obtained construction period matching points with the corresponding three-dimensional sequence of the prepared buildings; According to the obtained duration matching points, the capture time is matched and corresponded to obtain a duration matching standard sequence and a duration matching preliminary sequence; The matching correspondence means matching the construction period matching point with the capture time, obtaining the capture time that is the same as the construction period matching point, obtaining the characteristic standard three-dimensional sequence associated with the capture time, and recording it as the construction period matching standard sequence, and marking the preliminary building three-dimensional sequence corresponding to the successfully matched construction period matching point as the construction period matching preliminary sequence; The expected progress is determined for the obtained construction period matching standard sequence and construction period matching preliminary sequence to obtain the standard construction period and abnormal construction period.

2. The smart construction method based on the digital twin smart construction system according to claim 1, characterized in that: The following steps are included: Step 1: Collect building preparation data and comprehensive building data; Step 2: Construct the building twin space to screen and convert the comprehensive building data into three-dimensional images, obtain the three-dimensional building body, set the isomorphic segmentation axis to perform equipotential interception on the three-dimensional building body, and obtain a sequence of three-dimensional building images; Step 3: Set the standard scale to perform standard correction on the building stereo image sequence to obtain the standard stereo image sequence, transform the planned capture coefficient to obtain the capture series, intercept the planned capture coefficient through the capture series to obtain the capture coefficient segment, set the slice extraction frame according to the capture coefficient segment and perform polygon interception on the standard stereo image sequence to obtain the characteristic standard stereo sequence; Step 4: Perform balanced preparation processing on the building preparation data through the building twin space to obtain the three-dimensional sequence of the prepared buildings, match the construction period of the building preparation data to obtain the construction period matching points, and use the construction period matching points to determine the expected progress of the construction period matching standard sequence and the construction period matching preparation sequence to obtain the standard construction period and the abnormal construction period.

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