A method, system, device and medium for setting a connection node of a roof deformation joint

Abstract

A method, system, device and medium for setting a connection node of a roof deformation joint, which relates to the technical field of setting a connection node of a deformation joint, including: obtaining the first to fourth data sets, using the second data set as a training data set and combining building settlement data to input into a building settlement model, training the building settlement model, and obtaining a trained building settlement prediction model, etc. steps. The present invention calculates the position of the installation connection node by obtaining the extreme value of the expansion and contraction amount and the settlement amount data of the area where the current building is located, so that the installed connection node can remain stable during the subsequent expansion, contraction and settlement of the building, avoiding damage at the connection node caused by the expansion, contraction and displacement of the roof structure. On the other hand, by optimizing the construction process of the connection node, the quality of the installed connection node can also be improved, so that the installed position conforms to the calculated position of the installation connection node, ensuring the subsequent use effect.

Description

Technical Field

[0001] The present invention relates to the technical field of deformation joint connection node settings, and particularly relates to a method, system, device, and medium for setting roof deformation joint connection nodes. Background Art

[0002] A roof deformation joint is a special gap used to handle the expansion, settlement, and displacement of the roof structure of a building. The roof deformation joint plays an important role in the use of a building. Currently, when installing connection nodes at the deformation joint, the stress effects of subsequent expansion, settlement, and displacement of the building roof structure on the connection nodes are not considered. During subsequent use, the connection nodes will gradually be damaged, resulting in problems such as leakage in the walls at the deformation joint. After problems occur, the process of replacing the connection nodes is not only cumbersome but also damages the walls. Therefore, how to extend the service life of the connection nodes and reduce the damage to the connection nodes caused by the expansion, settlement, and displacement of the roof structure is a problem that needs to be solved. Summary of the Invention

[0003] Embodiments of the present invention provide a method, system, device, and medium for setting roof deformation joint connection nodes to solve the problem that the connection nodes are damaged due to the unreasonable installation position of the connection nodes during subsequent use caused by the expansion, settlement, and displacement of the roof structure.

[0004] A method for setting roof deformation joint connection nodes includes the following steps:

[0005] Obtain a first data set, where the first data set is a set of historical temperatures of the current area obtained from historical meteorological data;

[0006] Obtain a second data set, where the second data set is a data set of different geological data and the settlement data of the building above it;

[0007] Obtain a third data set, where the third data set is a set of geological data of the location of the current building obtained through exploration;

[0008] Obtain a fourth data set, where the fourth data set is a set of all parameters of the building;

[0009] Use the second data set as a training data set and combine the building settlement data to input into a building settlement model, train the building settlement model, and obtain a trained building settlement prediction model;

[0010] Input the third data set and the fourth data set into the building settlement prediction model to obtain the settlement amount data of the current building;

[0011] Calculate the extreme value of the building's expansion and contraction amount based on the first data set and the fourth data set;

[0012] Calculate the position of the installation connection node based on the settlement amount data of the current building and the extreme value of the expansion and contraction amount, and generate a construction process according to the installation conditions.

[0013] Further, the settlement amount data of the current building includes the settlement speed, settlement amount, and displacement amount of the buildings on both sides of the deformation joint.

[0014] Further, the installation conditions include the construction space, the number of construction personnel, available construction tools, and the location of construction materials.

[0015] The embodiment of the present disclosure provides a roofing deformation joint connection node setting system, including: a dynamic quantity calculation module for calculating the extreme value of the expansion and contraction amount of the current building and the settlement amount data of the current building; a connection node setting module for calculating the position of the installation connection node; and an installation optimization module for generating a process for installing the connection node.

[0016] Further, the dynamic quantity calculation module includes: an expansion and contraction amount calculation unit for calculating the extreme value of the building's expansion and contraction amount; and a settlement amount calculation unit for calculating the settlement amount data of the current building.

[0017] Further, the installation optimization module includes: a deformation joint parameter acquisition unit for acquiring deformation joint parameters, where the deformation joint parameters include the shape and size of the deformation joint; a node parameter acquisition unit for obtaining the parameters of the connection node; and an installation setting unit for calculating the position of the installation connection node according to the extreme value of the building's expansion and contraction amount and the settlement amount data of the building, in combination with the shape and size of the deformation joint and the parameters of the connection node.

[0018] Further, the installation optimization module includes: an installation parameter import unit for importing the position of the installation connection node and the installation conditions; an installation process simulation unit for performing an installation process simulation according to the imported position of the installation connection node and the installation conditions to obtain an initial construction process; and a process optimization unit for verifying and optimizing the initial construction process and outputting a construction process.

[0019] Further, it further includes a node full-life cycle monitoring module, where the node full-life cycle monitoring module includes: an environmental parameter acquisition unit for acquiring the building expansion and contraction amount data, temperature data, and settlement amount data at the deformation joint; and a node life calculation unit for calculating the remaining life of the connection node according to the parameters of the connection node and the collected data above, and sending a prompt message when its remaining life is lower than a threshold value.

[0020] An embodiment of the present disclosure provides an electronic device, including: one or more memories, and one or more processors, wherein program code readable by the processor is stored on the memory, and when the processor executes the program code, the above-mentioned method is executed.

[0021] An embodiment of the present disclosure provides a computer-readable recording medium storing computer-executable instructions, wherein when the computer-executable instructions are executed by a processor, the processor is caused to execute the above-mentioned method.

[0022] The beneficial effects of the above technical solution provided by the embodiment of the present invention at least include:

[0023] By obtaining the extreme value of the expansion and contraction amount and the settlement amount data of the area where the current building is located, the present invention calculates the position of the installation connection node, so that the installed connection node can remain stable during the subsequent expansion, contraction and settlement of the building, and avoids damage at the connection node caused by the expansion, contraction and displacement of the roof structure. On the other hand, by optimizing the construction process of the connection node, the quality of the installed connection node can also be improved, so that the installed position conforms to the calculated position of the installation connection node, ensuring the subsequent use effect.

[0024] Other features and advantages of the present invention will be described in the following specification, and part of them will become obvious from the specification, or be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the written specification, claims, and drawings.

[0025] The following will further describe the technical solution of the present invention in detail through the drawings and embodiments. Description of the Drawings

[0026] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0027] Figure 1 is a flowchart of a method for setting a roof deformation joint connection node disclosed in an embodiment of the present invention;

[0028] Figure 2 is a block diagram of a system for setting a roof deformation joint connection node disclosed in an embodiment of the present invention;

[0029] Figure 3 is a structural diagram of an electronic device disclosed in an embodiment of the present invention;

[0030] Figure 4 is a schematic diagram of a readable recording medium disclosed in an embodiment of the present invention.

[0031] Reference Signs:

[0032] 1. Dynamic quantity calculation module; 11. Expansion and contraction quantity calculation unit; 12. Settlement quantity calculation unit; 2. Connection node setting module; 21. Deformation joint parameter acquisition unit; 22. Node parameter acquisition unit; 23. Installation setting unit; 3. Installation optimization module; 31. Installation parameter import unit; 32. Installation process simulation unit; 33. Process optimization unit; 4. Node full life cycle monitoring module; 41. Environment parameter acquisition unit; 42. Node life calculation unit; 6. Electronic device; 61. Processor; 62. Memory; 63. Bus; 7. Computer-readable recording medium; 71. Computer-executable instructions. Detailed implementation manners

[0033] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0034] Figure 1 The flowchart of the method for setting the connection node of the roof deformation joint according to an embodiment of the present disclosure is shown.

[0035] As an example, the method for setting the connection node of the roof deformation joint can be executed by a system for setting the connection node of the roof deformation joint.

[0036] As Figure 1 shown, in step S1, a first data set is obtained. The first data set is a set of historical temperatures of the current area obtained from historical meteorological data.

[0037] According to an embodiment of the present disclosure, the current area is the area where the building where the connection node needs to be set currently is located. All historical temperature data of its location area is obtained. Taking 24 hours as a node, each node includes the temperature data of all 24 hours and is sorted according to the time series to obtain the first data set.

[0038] As Example 1, the length of the time series is 10 years, and it is traced back from the current time.

[0039] As Example 2, the length of the time series is 20 years, and it is traced back from the current time.

[0040] As Example 3, the length of the time series is 30 years, and it is traced back from the current time.

[0041] As Example 4, the length of the time series is 40 years, and it is traced back from the current time.

[0042] As an example 5, the time series length is 50 years, traced back from the current time.

[0043] As an example 6, the time series length is 60 years, traced back from the current time.

[0044] As Figure 1 shown, in step S2, a second data set is obtained. The second data set is a data set of different geological data collected and the settlement data of the building above it.

[0045] As an example, the second data set includes the settlement speed, settlement amount, and displacement amount of the building under different geological conditions.

[0046] As Figure 1 shown, in step S3, a third data set is obtained. The third data set is a set of geological data of the current building location obtained through exploration.

[0047] According to the embodiments of the present disclosure, the geological data includes the type, depth, distribution, engineering properties, and variation law of the rock and soil layers, the stability, uniformity, and bearing capacity of the foundation, the type, origin, distribution range, development trend, and hazard degree of adverse geological effects, hydrogeological conditions, the corrosiveness of water quality to building materials, and the distribution of special rock and soil.

[0048] As Figure 1 shown, in step S4, a fourth data set is obtained. The fourth data set is a set of all parameters of the building.

[0049] According to the embodiments of the present disclosure, all parameters of the building include the material, mass, size, shape, and weight distribution of the building.

[0050] As Figure 1 shown, in step S5, the second data set is used as the training data set and combined with the building settlement data to be input into the building settlement model for training the building settlement model, and a trained building settlement prediction model is obtained.

[0051] According to the embodiments of the present disclosure, the building settlement model uses a neural network prediction model. The second data set is used as the training data set and combined with the building settlement data to be input into the neural network prediction model, and a building settlement prediction model is obtained after training.

[0052] As Figure 1 shown, in step S6, the third data set and the fourth data set are input into the building settlement prediction model to obtain the settlement amount data of the current building.

[0053] As an example, in the building settlement prediction model obtained above, by inputting all the parameters of the building, the settlement data of the building according to the time series can be predicted, including the settlement speed, settlement amount, and displacement amount of the buildings on both sides of the deformation joint.

[0054] As Figure 1 shown, in step S7, the extreme value of the building expansion and contraction amount is calculated according to the first data set and the fourth data set.

[0055] According to the embodiments of the present disclosure, based on the materials, mass, and dimensions of the building and the extreme values (maximum and minimum values) of the temperature data within one year in the first data set, the expansion amount of the current building at the maximum temperature and the contraction amount at the lowest temperature are calculated. Here, it can be understood as the distance between the deformation joints, and the distance between the deformation joints changes due to the thermal expansion and contraction of the building caused by the temperature change.

[0056] As Figure 1 shown, in step S8, according to the settlement amount data of the current building and the extreme value of the expansion and contraction amount, the position of the installation connection node is calculated, and at the same time, according to the installation conditions, a construction process is generated.

[0057] According to the embodiments of the present disclosure, after inputting the set of geological data of the location of the current building and the set of all parameters of the building into the settlement prediction model, the settlement amount data of the building arranged in time series is obtained. From this, the settlement speed, settlement amount, and displacement amount data of the buildings on both sides of the building deformation joint when the building design life exceeds 10 years are selected, and the installation position of the connection node is calculated according to the obtained data.

[0058] In the above example, the currently newly installed connection node is in the first misaligned state. During the subsequent settlement, thermal expansion, cold contraction, and displacement of the building, the connection node gradually returns to the normal state. When the building reaches the design life of 10 years, the connection node gradually forms the second misaligned state until it fails.

[0059] In another example, after calculating the installation position of the connection node, according to the installation position, combined with the construction space, the number of construction personnel, available construction tools, and the position of construction materials, an optimal construction process is generated.

[0060] It should be noted that the optimal construction process refers to the construction process with the highest efficiency and the least material consumption.

[0061] In addition to providing the above method for setting the connection node of the roof deformation joint, the present disclosure also provides a system for setting the connection node of the roof deformation joint. The following will be described in conjunction with Figure 2 this.

[0062] Figure 2Shows a block diagram of a roof deformation joint connection node setting system.

[0063] As Figure 2 shown, the roof deformation joint connection node setting system includes a dynamic quantity calculation module 1, a connection node setting module 2, and an installation optimization module 3.

[0064] According to an embodiment of the present disclosure, the dynamic quantity calculation module 1 is configured to calculate the extreme value of the expansion and contraction amount of the current building and the settlement amount data of the current building.

[0065] As an example, the dynamic quantity calculation module 1 includes: an expansion and contraction amount calculation unit 11 and a settlement amount calculation unit 12.

[0066] The expansion and contraction amount calculation unit 11 is configured to calculate the extreme value of the expansion and contraction amount of the building.

[0067] The settlement amount calculation unit 12 is configured to calculate the settlement amount data of the current building.

[0068] According to an embodiment of the present disclosure, the connection node setting module 2 is configured to calculate the position of the installation connection node.

[0069] As an example, the installation optimization module 3 includes: a deformation joint parameter acquisition unit 21, a node parameter acquisition unit 22, and an installation setting unit 23.

[0070] The deformation joint parameter acquisition unit 21 is configured to acquire deformation joint parameters, where the deformation joint parameters include the shape and size of the deformation joint;

[0071] The node parameter acquisition unit 22 is configured to obtain the parameters of the connection node;

[0072] The installation setting unit 23 is configured to calculate the position of the installation connection node according to the extreme value of the expansion and contraction amount of the building and the settlement amount data of the building, combined with the shape and size of the deformation joint and the parameters of the connection node.

[0073] According to an embodiment of the present disclosure, the installation optimization module 3 is configured to generate a process for installing the connection node.

[0074] As an example, the installation optimization module 3 includes: an installation parameter import unit 31, an installation process simulation unit 32, and a process optimization unit 33.

[0075] The installation parameter import unit 31 is configured to import the position and installation conditions of the installation connection node;

[0076] The installation process simulation unit 32 is configured to perform an installation process simulation according to the imported position and installation conditions of the installation connection node to obtain an initial construction process;

[0077] The process optimization unit 33 is configured to verify and optimize the initial construction process and output the construction process.

[0078] As a preferred embodiment, the roof expansion joint connection node setting system also includes a node full life cycle monitoring module 4, which is configured to monitor the remaining life of the connection node and issue an early warning when it is below a threshold.

[0079] The node life cycle monitoring module 4 includes: an environmental parameter collection unit 41 and a node life calculation unit 42 .

[0080] The environmental parameter collection unit 41 is configured to collect building expansion and contraction data, temperature data, and settlement data at deformation joints;

[0081] The node life calculation unit 42 is configured to calculate the remaining life of the connection node based on the parameters of the connection node in combination with the above-mentioned collected data, and send a prompt message when the remaining life is lower than a threshold.

[0082] It should be noted that the connection node life calculation unit 42 calculates the remaining life of the connection node by accumulating the real-time data to calculate the remaining life of the connection node after material aging and stress fatigue. This is different from the node life calculated by the above-mentioned calculation position and then installing the node. The above method is for the extrapolated life. When all parameter conditions are met or meet within a certain range, the life of the connection node can exceed the design life of the building by 10 years. The real-time life of the connection node is calculated based on the accumulation of real-time data, which may be consistent with the predicted life or inconsistent. By monitoring it, it can be inspected and processed in time before it is damaged, so as to avoid the problem of water seepage caused by damage to the connection node.

[0083] Figure 3 A structural diagram of the electronic device 6 is shown.

[0084] like Figure 3 As shown, the electronic device 6 includes: one or more memories 62, and one or more processors 61. The one or more processors 61 and the one or more memories 62 can be connected through a bus 63, wherein the memory 62 stores program codes readable by the processor 61. When the processor 61 executes the program code, the above method is executed.

[0085] One or more processors 61 may perform various actions and processes according to programs stored in one or more memories 62. Specifically, one or more processors 61 may be an integrated circuit chip with the ability to process signals. The above-mentioned processor 61 may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The various methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc., and may be of the X86 architecture or the ARM architecture.

[0086] One or more memories 62 store computer-executable instructions, which implement the above-mentioned data processing method when executed by the processor 61. One or more memories 62 may be volatile memories or non-volatile memories, or may include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM) or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DR RAM). It should be noted that the memories of the methods described herein are intended to include but not be limited to these and any other suitable types of memories.

[0087] Figure 4 A schematic diagram of a readable recording medium is shown.

[0088] As Figure 4 shown, the computer-readable recording medium 7 stores computer-executable instructions 71, wherein the computer-executable instructions 71 cause the processor to execute the above-mentioned method when executed by the processor. Similarly, the computer-readable storage medium in the embodiments of the present disclosure may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. It should be noted that the computer-readable storage media described herein are intended to include but not be limited to these and any other suitable types of memories.

[0089] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a portion of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0090] The present invention calculates the position of the installation connection node by obtaining the extreme value of the expansion and contraction amount and the settlement amount data of the area where the current building is located, so that the installed connection node can remain stable during the subsequent expansion, contraction, and settlement of the building, avoiding damage at the connection node caused by the expansion, contraction, settlement, and displacement of the roof structure. On the other hand, by optimizing the construction process of the connection node, the quality of the installed connection node can also be improved, so that its installed position conforms to the calculated position of the installation connection node, ensuring the subsequent use effect.

[0091] In general, the various example embodiments of the present disclosure may be implemented in hardware or a dedicated circuit, software, firmware, logic, or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that can be executed by a controller, a microprocessor, or other computing devices. When aspects of the embodiments of the present disclosure are illustrated or described as block diagrams, flowcharts, or using some other graphical representation, it will be understood that the blocks, devices, systems, techniques, or methods described herein may be implemented as non-limiting examples in hardware, software, firmware, a dedicated circuit or logic, general hardware or a controller or other computing devices, or some combination thereof.

[0092] It should be understood that the specific order or hierarchy of steps in the disclosed processes is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of the present disclosure. The appended method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy.

[0093] The exemplary embodiments of the present invention described in detail above are merely illustrative and not restrictive. It will be appreciated by those skilled in the art that various modifications and combinations may be made to these embodiments or their features without departing from the principles and spirit of the present invention, and such modifications should fall within the scope of the present invention.

Claims

1. A method for setting a connection node of a roof deformation joint, characterized in that, It includes the following steps: Obtain a first data set, which is a set of historical temperatures of the current region obtained from historical meteorological data; Obtain a second data set, which is a data set of different geological data and the settlement data of the buildings above them; Obtain a third data set, which is a set of geological data of the location of the current building obtained through exploration; Obtain a fourth data set, which is a set of all parameters of the building; Use the second data set as a training data set and combine the building settlement data to input into the building settlement model, train the building settlement model, and obtain a trained building settlement prediction model; Input the third data set and the fourth data set into the building settlement prediction model to obtain the settlement amount data of the current building; Calculate the extreme value of the expansion and contraction amount of the building according to the first data set and the fourth data set; Calculate the position of the installation connection node according to the settlement amount data of the current building and the extreme value of the expansion and contraction amount, and generate a construction process according to the installation conditions; The process of calculating the position of the installation connection node includes: after inputting the set of geological data of the location of the current building and the set of all parameters of the building into the settlement prediction model, obtaining the settlement amount data of the building arranged in time series, and selecting from them the settlement speed, settlement amount, and displacement amount data of the buildings on both sides of the deformation joint when it is more than 10 years of the designed service life of the building, and calculating the installation position of the connection node according to the obtained data; The currently newly installed connection node is in a first misaligned state. During the subsequent settlement, thermal expansion, cold shrinkage, and displacement of the building, the connection node gradually returns to the normal state. When it reaches 10 years of the designed service life of the building, the connection node gradually forms a second misaligned state until it fails; This method is implemented by a roof deformation joint connection node setting system, and the system includes: A dynamic quantity calculation module, which is used to calculate the extreme value of the expansion and contraction amount of the current building and the settlement amount data of the current building; A connection node setting module, which is used to calculate the position of the installation connection node; An installation optimization module, which is used to generate the process of installing the connection node; The connection node setting module includes: A deformation joint parameter collection unit, which is used to collect deformation joint parameters, where the deformation joint parameters include the shape and size of the deformation joint; A node parameter collection unit, which is used to obtain the parameters of the connection node; An installation setting unit, which is used to calculate the position of the installation connection node according to the extreme value of the expansion and contraction amount of the building and the settlement amount data of the building, combined with the shape and size of the deformation joint and the parameters of the connection node; The installation optimization module includes: An installation parameter import unit, which is used to import the position and installation conditions of the installation connection node; An installation process simulation unit, which is used to perform installation process simulation according to the imported position and installation conditions of the installation connection node to obtain an initial construction process; A process optimization unit, which is used to check and optimize the initial construction process and output the construction process.

2. An electronic device, including: One or more memories, and One or more processors, wherein processor-readable program code is stored on the memory, and when the processor executes the program code, the method according to claim 1 is executed.

3. A computer-readable recording medium stores computer-executable instructions, wherein, The computer-executable instructions, when executed by a processor, cause the processor to execute the method according to claim 1.

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