Methods and equipment for determining the installation of temporary supports in steel truss slabs

Abstract

The application provides a steel bar truss plate temporary support setting discrimination method and equipment, a large number of steel bar truss floor support layout diagrams are collected by a training information collection and processing module and are used as a training set, the training set is input into a model training module for training, a floor information recognition model is obtained, the model is used, floor information can be output to a floor support intelligent discrimination and marking module through the steel bar truss floor layout diagram, and the floor support intelligent discrimination and marking module quickly marks the floor that needs to be provided with temporary support. The method can automatically and quickly identify the steel bar truss floor that needs to be provided with temporary support, and has high accuracy and high efficiency.

Description

Technical Field

[0001] This invention relates to a method and equipment for determining the setting of temporary supports for steel truss slabs. Background Technology

[0002] Steel truss floor decking is a common building structure, a precast component consisting of steel trusses and floor decking. During construction and use, in cases where the span of the decking exceeds the unsupported design span, supports should be installed to ensure the stability of the steel truss floor decking during construction and prevent deformation or damage before the structure reaches its design strength. Currently, determining whether steel truss floor decking requires support often involves technical personnel checking the drawings, which can easily lead to omissions and safety hazards. Summary of the Invention

[0003] The purpose of this invention is to provide a method and device for determining the setting of temporary supports for steel truss slabs.

[0004] To address the above problems, this invention provides a method for determining the setting of temporary supports in steel truss slabs, comprising:

[0005] The training information acquisition and processing module collects sample floor deck layout images containing various steel trusses and obtains image information;

[0006] The training information acquisition and processing module, based on the image information, annotates the floor deck layout image to obtain the annotated information;

[0007] Based on the image information and the labeled information, an artificial intelligence method is used to establish a floor decking information recognition model;

[0008] Input the floor decking layout image to be identified into the floor decking information recognition model to obtain the number, model, actual span value and standard span value of each floor decking for support-free design;

[0009] The intelligent identification and marking module for floor decking supports determines whether each floor decking needs to be supported based on its actual span value and the standard span value for support-free design.

[0010] Furthermore, in the above method, the image information includes: span information of each floor deck, floor deck segment information, actual span value of each floor deck, model of each floor deck, and standard span value of the support-free design for each model of floor deck.

[0011] Furthermore, in the above method, the labeled information includes: the labeled span value of each floor decking, the edge line of each floor decking, the number of each floor decking, and the model of each floor decking; wherein, the actual span value of each floor decking = magnification factor * labeled span value of each floor decking.

[0012] Furthermore, in the above method, the information marked in the floor decking layout image to be identified includes: the marked span value of each floor decking, the edge line of each floor decking, the number of each floor decking, and the model of each floor decking.

[0013] Furthermore, in the above method, the intelligent identification and marking module for floor decking support determines whether each floor decking needs support based on the actual span value of each floor decking and the standard span value for support-free design, including:

[0014] The intelligent identification and marking module for floor decking supports reads the actual span value L and the standard span value S for support-free design of each floor decking.

[0015] When L>S, the floor decking support intelligent identification and marking module, based on the numbers LCB1 to LCB, will... n Mark the corresponding floor deck slab in red to indicate the location where support needs to be installed.

[0016] Furthermore, in the above method, the floor decking support intelligent identification and marking module, after reading the actual span value L and the standard span value S of the support-free design for each floor decking, also includes:

[0017] When L≤S, the intelligent identification and marking module for floor deck support will determine the support based on the numbers LCB1~LCB. n， The corresponding floor decking blocks are marked in green to indicate locations where no support is required.

[0018] Furthermore, in the above method, after determining whether each floor deck requires support, the following steps are also included:

[0019] After all floor slabs are marked with red or green, the floor slab support intelligent identification and marking module outputs a marking diagram of the positions where the steel truss floor slabs need to be supported, based on all the red markings.

[0020] Furthermore, in the above method, the floor decking information recognition model includes models such as CNN, RNN, or ResNet.

[0021] According to another aspect of the present invention, a computer-readable storage medium is also provided, having stored thereon computer-executable instructions, wherein when executed by a processor, the computer-executable instructions cause the processor to perform the method described in any of the preceding claims.

[0022] According to another aspect of the present invention, a calculator device is also provided, comprising:

[0023] Processor; and

[0024] A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the method described in any of the preceding descriptions.

[0025] Compared with existing technologies, this invention proposes a novel intelligent method for identifying temporary supports for steel truss floor slabs to address the problems of errors and time-consuming manual verification of whether temporary supports are needed for steel truss floor slabs. The main technical components are as follows: a training information acquisition and processing module collects a large number of steel truss floor slab support layout diagrams as a training set. This training set is then input into a model training module for training, resulting in a floor slab information recognition model. Using this model, floor slab information can be output from the steel truss floor slab layout diagram to a floor slab support intelligent identification and marking module. This module then quickly marks floor slabs that require temporary supports. This method can automatically and quickly identify steel truss floor slabs that require temporary supports with high accuracy and efficiency.

[0026] Compared with the current methods for temporary support of floor decking, the advantages of this invention are mainly as follows:

[0027] (1) High accuracy. The intelligent method for determining temporary supports for steel truss slabs in this invention, compared with manual arrangement methods, can avoid omissions and has high accuracy;

[0028] (2) High efficiency. Compared with manual layout methods, this method can quickly identify and mark all floor decks whose spans exceed the design requirements. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of a method and device for determining temporary supports for steel truss slabs according to an embodiment of the present invention;

[0030] Figure 2 This is a schematic diagram of a floor decking arrangement image to be identified according to an embodiment of the present invention;

[0031] Figure 3 This is a diagram showing the markings indicating the locations where support positions need to be set for the output steel truss floor slab according to an embodiment of the present invention. Detailed Implementation

[0032] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0033] like Figure 1 As shown, the present invention provides a method and device for determining the setting of temporary supports for steel truss slabs, comprising:

[0034] Step S1: Train the information acquisition and processing module to collect sample floor deck layout images containing various steel trusses and obtain image information;

[0035] Preferably, the image information includes: span information of each floor deck, floor deck segment information, actual span value of each floor deck, model of each floor deck, and standard span value of the support-free design for each model of floor deck;

[0036] Here, the floor decking segmentation information includes: the edge line of each floor decking segment;

[0037] like Figure 2 As shown, each floor decking slab LCB1~LCB n Located between beams 1 and columns 2 of the building, the boundaries of each floor deck are distinguished by their respective edge lines 3;

[0038] Step S2: The training information acquisition and processing module annotates the floor decking layout image based on the image information to obtain the annotated information;

[0039] Preferably, the labeled information includes: the labeled span value of each floor decking, the edge line of each floor decking, the number of each floor decking, and the model of each floor decking; wherein, the actual span value of each floor decking = magnification factor * labeled span value of each floor decking; for example, such as Figure 2 As shown, the span of each floor decking is marked as a, the length is b, and the magnification factor is 8000 / b. Therefore, the span L1 of floor decking LCB1 in the figure is 8000×a / b, in mm.

[0040] OCR technology can be used to extract the text of the span information of each floor deck in the image information, and then the span value of each floor deck can be marked.

[0041] During the process of marking based on the segmented information of the floor decking, all floor deckings can be divided according to the edge lines of each floor decking. Starting from the upper left of the sample floor decking layout image, each floor decking is numbered from left to right and from top to bottom, with the numbering names being LCB1 to LCB. n ;

[0042] The indicated floor decking model includes: the floor decking model name, for example, there are m models, model numbers XH1~XH m :

[0043] By using the span markings and magnification factor of each floor decking slab, the actual span value corresponding to the number of each floor decking slab is calculated and denoted as L1 to L2. n ;

[0044] The span values ​​for the support-free design of each type of floor decking are denoted as S1 to S2. m ;

[0045] Step S3: Based on the image information and the labeled information, an artificial intelligence method is used to establish a floor decking information recognition model;

[0046] Preferably, the form of the floor decking information recognition model is not limited; models such as CNN, RNN, and ResNet can all be used to establish information recognition models for multi-span beam structures.

[0047] To ensure training effectiveness, the training set needs to contain more than 1,000 data sets;

[0048] The training process of the model can use algorithms such as stochastic gradient descent and adaptive gradient algorithm to train the model until the loss function is less than a preset value, and then the training ends.

[0049] like Figure 2 As shown, in step S4, the floor decking layout image to be identified is input into the floor decking information recognition model to obtain the number, model, actual span value L and standard span value S of each floor decking.

[0050] Preferably, the information marked in the floor decking layout image to be identified includes: the marked span value of each floor decking, the edge line of each floor decking, the number of each floor decking, and the model of each floor decking;

[0051] Here, the model input can be: a labeled floor decking layout drawing; including: the span label value of each floor decking, the edge line of each floor decking, the number of each floor decking, and the type of each floor decking;

[0052] The model output can include: span information, slab segment information, actual span value of each floor deck, model of each floor deck, and span information of the floor deck without support design. It can also integrate the number, model, actual span value L and standard span value S of the floor deck without support design of the same floor deck into the same set of data, which is convenient for the floor deck support intelligent identification and marking module to process.

[0053] Step S5: The intelligent identification and marking module for floor deck support determines whether each floor deck needs to be supported based on the actual span value L of each floor deck and the standard span value S of the support-free design.

[0054] Preferably, the intelligent identification and marking module for floor decking support can read the actual span value L and the standard span value S of the support-free design for each floor decking. When L>S, the intelligent identification and marking module for floor decking support, based on the numbers LCB1 to LCB, will identify the support. n A corresponding floor decking slab is marked in red to indicate the location where support needs to be installed; when L≤S, the floor decking support intelligent identification and marking module, based on the numbers LCB1~LCB, will determine the location.n， The corresponding floor decking blocks are marked in green to indicate locations where no support is required;

[0055] More preferably, after all floor slabs are marked in red or green, the floor slab support intelligent identification and marking module outputs a marking diagram based on all red markings, showing the required support positions 4 for the steel truss floor slabs. Figure 3 As shown.

[0056] According to another aspect of the present invention, a computer-readable storage medium is also provided, having stored thereon computer-executable instructions, wherein when executed by a processor, the computer-executable instructions cause the processor to perform the method described in any of the preceding claims.

[0057] According to another aspect of the present invention, a calculator device is also provided, comprising:

[0058] Processor; and

[0059] A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the method described in any of the preceding descriptions.

[0060] In summary, to address the issues of error-prone and time-consuming manual verification of whether temporary supports are needed for steel truss floor slabs, this invention proposes a novel intelligent method for identifying temporary supports for steel truss floor slabs. Its main technical components are as follows: a training information acquisition and processing module collects a large number of steel truss floor slab support layout diagrams as a training set. This training set is then input into a model training module for training, resulting in a floor slab information recognition model. Using this model, floor slab information can be output from the steel truss floor slab layout diagram to a floor slab support intelligent identification and marking module. This module then quickly marks floor slabs requiring temporary supports. This method can automatically and quickly identify steel truss floor slabs requiring temporary supports with high accuracy and efficiency.

[0061] Compared with the current methods for temporary support of floor decking, the advantages of this invention are mainly as follows:

[0062] (1) High accuracy. The intelligent method for determining temporary supports for steel truss slabs in this invention, compared with manual arrangement methods, can avoid omissions and has high accuracy;

[0063] (2) High efficiency. Compared with manual layout methods, this method can quickly identify and mark all floor decks whose spans exceed the design requirements.

[0064] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0065] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0066] Obviously, those skilled in the art can make various modifications and variations to the invention without departing from the spirit and scope of the invention. Therefore, if these modifications and variations fall within the scope of the claims of the invention and their equivalents, the invention is also intended to include these modifications and variations.

Claims

1. A method of determining temporary support for a steel bar truss slab, characterized by, The method comprises the following steps: a training information collection and processing module collects sample floor slab layout images containing various steel bar trusses, and obtains image information; the training information collection and processing module labels the floor slab layout images based on the image information, and obtains labeled information; based on the image information and the labeled information, a floor slab information recognition model is established by using an artificial intelligence method; a floor slab information recognition model is established by using an artificial intelligence method; a floor slab support intelligent discrimination and marking module determines whether each floor slab needs to be provided with a support based on the actual span value and the standard design span value of each floor slab; the floor slab support intelligent discrimination and marking module determines whether each floor slab needs to be provided with a support based on the actual span value and the standard design span value of each floor slab, comprising: the floor slab support intelligent discrimination and marking module reads the actual span value L and the standard design span value S of each floor slab, When L > S, the floor support intelligent discrimination and marking module is started, and according to the number LCB1~LCB n The corresponding floor support is marked in red, indicating the position where the support needs to be set. after the floor slab support intelligent discrimination and marking module reads the actual span value L and the standard design span value S of each floor slab, further comprising: When L≤S, the floor support intelligent discrimination and marking module is started, and according to the number LCB1~LCB n， The corresponding block floor is marked with green, indicating the position where no support is needed. after determining whether each floor slab needs to be provided with a support, further comprising: until all floor slabs are marked with red or green, the floor slab support intelligent discrimination and marking module outputs a marking diagram of the positions of the steel bar truss floor slabs that need to be provided with supports based on all red markings.

2. The method for determining the provision of temporary supports for steel truss slabs as described in claim 1, characterized in that, The image information includes span information of each floor slab, floor slab blocking information, actual span value of each floor slab, model of each floor slab, and standard design span value of each model of floor slab.

3. The method for determining the provision of temporary supports for steel truss slabs as described in claim 2, characterized in that, The labeled information includes labeled span value of each floor slab, edge line of each floor slab, number of each floor slab, and model of each floor slab; wherein the actual span value of each floor slab = magnification * labeled span value of each floor slab.

4. The method for determining the provision of temporary supports for steel truss slabs as described in claim 3, characterized in that, The labeled information in the floor slab layout image to be identified includes labeled span value of each floor slab, edge line of each floor slab, number of each floor slab, and model of each floor slab.

5. The method for determining the provision of temporary supports for steel truss slabs as described in claim 1, characterized in that, The floor slab information recognition model comprises a CNN, RNN, or ResNet model.

6. A computer-readable storage medium having stored thereon computer- executable instructions, wherein, The computer executable instructions, when executed by the processor, cause the processor to perform the method of any one of claims 1 to 5.

7. A computing device, wherein, The method comprises the following steps: a processor; and a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any one of claims 1 to 5.

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