BIM-based reinforcing steel bar production management method and system

Abstract

The invention discloses a BIM-based reinforcing steel bar production management method and system, and the method comprises the steps: carrying out the modeling of a building through a BIM, generating a building model and all components contained in the building model, and obtaining the building information, the building information comprises the total volume of the building, the load vector of the building, and the environment humidity, the environment temperature and the construction progress of the building at each position; setting a steel bar demand quantity estimation model, calculating a steel bar demand quantity index according to the building information, and normalizing the steel bar demand quantity index to a fixed numerical range; the fixed numerical range is divided into a plurality of sub-ranges, each sub-range corresponds to the steel bar demand quantity, the sub-range where the steel bar demand quantity index falls is checked, the steel bar demand quantity corresponding to the sub-range serves as the number of steel bars needing to be produced, and production is conducted.

Description

Technical Field

[0001] The present invention belongs to the field of building technology, and more specifically, relates to a steel bar production management method and system based on BIM. Background Art

[0002] Smart construction is an important part of smart buildings. It involves applying advanced information technology, automation technology and intelligent technology to the entire process of building design, construction, management and operation. The goal of smart construction is to improve the efficiency, quality, safety and sustainability of construction projects. The following are several key aspects of smart construction:

[0003] 1. Building Information Modeling (BIM)

[0004] Description: BIM is a digital 3D model technology that can integrate building design, construction and operation data to provide a unified information platform for all parties involved.

[0005] Application: used for design collaboration, construction planning, virtual construction simulation, cost estimation, schedule management, etc.

[0006] 2. Digital construction

[0007] Description: Includes on-site monitoring and data collection using technologies such as drones, laser scanning, and IoT sensors.

[0008] Purpose: Real-time monitoring of construction progress, quality, and safety status, and data analysis to optimize the construction process.

[0009] However, there is no technical solution in the prior art that can intelligently control the production of steel bars during intelligent construction. Summary of the invention

[0010] In order to solve the above technical problems, the present invention proposes a steel bar production management method based on BIM, comprising:

[0011] Model the building through BIM, generate the building model and all the components it contains, and obtain the building information, where the building information includes: the total volume of the building, the load vector of the building, the ambient humidity and temperature of the building at each location, and the construction progress;

[0012] Setting a steel bar demand estimation model, and calculating a steel bar demand index according to the building information, and normalizing the steel bar demand index to a fixed value range;

[0013] The fixed numerical range is divided into a plurality of sub-ranges, each of which corresponds to a steel bar demand. The sub-range into which the steel bar demand index falls is checked, and the steel bar demand corresponding to the sub-range is used as the steel bar quantity to be produced, and production is performed.

[0014] Furthermore, the steel bar demand estimation model includes:

[0015]

[0016] Where R(t) is the steel demand index at time t, V s is the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(x) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

[0017] Furthermore, the relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes:

[0018]

[0019] Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the kth order load effect coefficient.

[0020] Furthermore, the stress distribution function S(x) of the building at position x includes:

[0021]

[0022] Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x iis the location of the i-th defect in the building component.

[0023] Furthermore, the fatigue performance function F(x, t) of the steel bar at time t includes:

[0024]

[0025] Among them, σ max is the maximum cyclic stress of the building at position x, σ yield is the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, ν is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

[0026] The present invention also proposes a BIM-based steel bar production management system, comprising:

[0027] A modeling module is used to model a building through BIM, generate a building model and all the components contained therein, and obtain building information, wherein the building information includes: the total volume of the building, the load vector of the building, the ambient humidity and ambient temperature of the building at each location, and the construction progress;

[0028] A model setting module is used to set a steel bar demand estimation model, and calculate a steel bar demand index according to the building information, and normalize the steel bar demand index to a fixed value range;

[0029] The production module is used to divide the fixed numerical range into multiple sub-ranges, each sub-range corresponds to the steel bar demand, check the sub-range into which the steel bar demand index falls, take the steel bar demand corresponding to the sub-range as the number of steel bars to be produced, and produce.

[0030] Furthermore, the steel bar demand estimation model includes:

[0031]

[0032] Where R(t) is the steel demand index at time t, V sis the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(x) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

[0033] Furthermore, the relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes:

[0034]

[0035] Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the kth order load effect coefficient.

[0036] Furthermore, the stress distribution function S(x) of the building at position x includes:

[0037]

[0038] Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x i is the location of the i-th defect in the building component.

[0039] Furthermore, the fatigue performance function F(x, t) of the steel bar at time t includes:

[0040]

[0041] Among them, σ max is the maximum cyclic stress of the building at position x, σ yieldis the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

[0042] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art:

[0043] The present invention models a building through BIM, generates a building model and all the components contained therein, and obtains building information, wherein the building information includes: the total volume of the building, the load vector of the building, the ambient humidity of the building at each location, the ambient temperature and the construction progress; sets a steel bar demand estimation model, and calculates a steel bar demand index based on the building information, and normalizes the steel bar demand index to a fixed numerical range; divides the fixed numerical range into multiple sub-ranges, each of which corresponds to a steel bar demand, checks the sub-range into which the steel bar demand index falls, and uses the steel bar demand corresponding to the sub-range as the number of steel bars to be produced, and produces. Through the above technical scheme, the present invention can adjust the production quantity of steel bars at any time according to the situation of the building and the construction progress, thereby improving construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0045] Figure 2 It is a structural diagram of the system of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0046] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0047] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0048] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0049] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0050] The display screen is used to display the user interface of each application.

[0051] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0052] Example 1

[0053] like Figure 1 As shown, an embodiment of the present invention provides a steel bar production management method based on BIM, comprising:

[0054] Step 101, modeling a building through BIM, generating a building model and all components contained therein, and obtaining building information, wherein the building information includes: the total volume of the building, the load vector of the building, the ambient humidity and ambient temperature at each location of the building, and the construction progress;

[0055] Step 102, setting a steel bar demand estimation model, and calculating a steel bar demand index according to the building information, and normalizing the steel bar demand index to a fixed value range;

[0056] Specifically, the steel bar demand estimation model includes:

[0057]

[0058] Where R(t) is the steel demand index at time t, V sis the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(x) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

[0059] Specifically, the relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes:

[0060]

[0061] Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the k-th order load effect coefficient. Through software tools such as SAP2000 and ETABS, complex nonlinear analysis and calculation can be performed to automatically obtain the high-order load effect coefficient p k .

[0062] Specifically, the stress distribution function S(x) of the building at position x includes:

[0063]

[0064] Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x i is the location of the i-th defect in the building component.

[0065] Specifically, the fatigue performance function F(x, t) of the steel bar at time t includes:

[0066]

[0067] Among them, σ maxis the maximum cyclic stress of the building at position x, σ yield is the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

[0068] Step 103, divide the fixed numerical range into multiple sub-ranges, each sub-range corresponds to a steel bar demand, check the sub-range into which the steel bar demand index falls, take the steel bar demand corresponding to the sub-range as the steel bar quantity to be produced, and produce.

[0069] Example 2

[0070] like Figure 2 As shown, an embodiment of the present invention further provides a BIM-based steel bar production management system, comprising:

[0071] A modeling module is used to model a building through BIM, generate a building model and all the components contained therein, and obtain building information, wherein the building information includes: the total volume of the building, the load vector of the building, the ambient humidity and ambient temperature of the building at each location, and the construction progress;

[0072] A model setting module is used to set a steel bar demand estimation model, and calculate a steel bar demand index according to the building information, and normalize the steel bar demand index to a fixed value range;

[0073] Specifically, the steel bar demand estimation model includes:

[0074]

[0075] Where R(t) is the steel demand index at time t, V s is the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(x) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

[0076] Specifically, the relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes:

[0077]

[0078] Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the kth order load effect coefficient.

[0079] Specifically, the stress distribution function S(x) of the building at position x includes:

[0080]

[0081] Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x i is the location of the i-th defect in the building component.

[0082] Specifically, the fatigue performance function F(x, t) of the steel bar at time t includes:

[0083]

[0084] Among them, σ max is the maximum cyclic stress of the building at position x, σ yield is the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

[0085] The production module is used to divide the fixed numerical range into multiple sub-ranges, each sub-range corresponds to the steel bar demand, check the sub-range into which the steel bar demand index falls, take the steel bar demand corresponding to the sub-range as the number of steel bars to be produced, and produce.

[0086] Example 3

[0087] An embodiment of the present invention further proposes a storage medium storing a plurality of instructions, wherein the instructions are used to implement the BIM-based steel bar production management method.

[0088] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0089] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, modeling a building through BIM, generating a building model and all components contained therein, and acquiring building information, wherein the building information includes: the total volume of the building, the load vector of the building, the ambient humidity of the building at each location, the ambient temperature, and the construction progress;

[0090] Step 102, setting a steel bar demand estimation model, and calculating a steel bar demand index according to the building information, and normalizing the steel bar demand index to a fixed value range;

[0091] Specifically, the steel bar demand estimation model includes:

[0092]

[0093] Where R(t) is the steel demand index at time t, V s is the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(t) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

[0094] Specifically, the relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes:

[0095]

[0096] Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the kth order load effect coefficient.

[0097] Specifically, the stress distribution function S(x) of the building at position x includes:

[0098]

[0099] Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x i is the location of the i-th defect in the building component.

[0100] Specifically, the fatigue performance function F(x, t) of the steel bar at time t includes:

[0101]

[0102] Among them, σ max is the maximum cyclic stress of the building at position x, σ yield is the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

[0103] Step 103, divide the fixed numerical range into multiple sub-ranges, each sub-range corresponds to a steel bar demand, check the sub-range into which the steel bar demand index falls, take the steel bar demand corresponding to the sub-range as the steel bar quantity to be produced, and produce.

[0104] Example 4

[0105] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the BIM-based steel bar production management method.

[0106] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0107] Among them, the storage medium can be used to store software programs and modules, such as a BIM-based steel bar production management method in an embodiment of the present invention, corresponding program instructions / modules, and the processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned BIM-based steel bar production management method. The storage medium may include a high-speed random storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include a storage medium remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0108] The processor may call the information and application program stored in the storage medium through the transmission system to perform the following steps: Step 101, modeling the building through BIM, generating the building model and all the components contained therein, and obtaining the building information, wherein the building information includes: the total volume of the building, the load vector of the building, the ambient humidity of the building at each location, the ambient temperature and the construction progress;

[0109] Step 102, setting a steel bar demand estimation model, and calculating a steel bar demand index according to the building information, and normalizing the steel bar demand index to a fixed value range;

[0110] Specifically, the steel bar demand estimation model includes:

[0111]

[0112] Where R(t) is the steel demand index at time t, V sis the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(x) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

[0113] Specifically, the relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes:

[0114]

[0115] Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the kth order load effect coefficient.

[0116] Specifically, the stress distribution function S(x) of the building at position x includes:

[0117]

[0118] Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x i is the location of the i-th defect in the building component.

[0119] Specifically, the fatigue performance function F(x, t) of the steel bar at time t includes:

[0120]

[0121] Among them, σ max is the maximum cyclic stress of the building at position x, σ yieldis the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

[0122] Step 103, divide the fixed numerical range into multiple sub-ranges, each sub-range corresponds to a steel bar demand, check the sub-range into which the steel bar demand index falls, take the steel bar demand corresponding to the sub-range as the steel bar quantity to be produced, and produce.

[0123] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0124] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0125] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0126] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0127] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0128] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0129] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A steel bar production management method based on BIM, characterized in that: include: Model the building through BIM, generate the building model and all the components it contains, and obtain the building information, where the building information includes: the total volume of the building, the load vector of the building, the ambient humidity and temperature of the building at each location, and the construction progress; Setting a steel bar demand estimation model, and calculating a steel bar demand index according to the building information, and normalizing the steel bar demand index to a fixed value range; The fixed numerical range is divided into a plurality of sub-ranges, each of which corresponds to a steel bar demand. The sub-range into which the steel bar demand index falls is checked, and the steel bar demand corresponding to the sub-range is used as the steel bar quantity to be produced, and production is performed.

2. A BIM-based steel bar production management method as claimed in claim 1, characterized in that: The steel bar demand estimation model includes: Where R(t) is the steel demand index at time t, V s is the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(x) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

3. A BIM-based steel bar production management method as claimed in claim 2, characterized in that: The relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes: Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the kth order load effect coefficient.

4. A BIM-based steel bar production management method as claimed in claim 2, characterized in that: The stress distribution function S(x) of the building at position x includes: Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x i is the location of the i-th defect in the building component.

5. A BIM-based steel bar production management method as claimed in claim 2, characterized in that: The fatigue performance function F(x, t) of the steel bar at time t includes: Among them, σ max is the maximum cyclic stress of the building at position x, σ yield is the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

6. A BIM-based steel bar production management system, characterized in that: include: A modeling module is used to model a building through BIM, generate a building model and all the components contained therein, and obtain building information, wherein the building information includes: the total volume of the building, the load vector of the building, the ambient humidity and ambient temperature of the building at each location, and the construction progress; A model setting module is used to set a steel bar demand estimation model, and calculate a steel bar demand index according to the building information, and normalize the steel bar demand index to a fixed value range; The production module is used to divide the fixed numerical range into multiple sub-ranges, each sub-range corresponds to the steel bar demand, check the sub-range into which the steel bar demand index falls, take the steel bar demand corresponding to the sub-range as the number of steel bars to be produced, and produce.

7. A BIM-based steel bar production management system as claimed in claim 6, characterized in that: The steel bar demand estimation model includes: Where R(t) is the steel demand index at time t, V s is the total volume of the building, g(L(t)) is the relationship function between the load vector L(t) of the building at time t and the steel demand, L(t) is the load vector of the building at time t, S(x) is the stress distribution function of the building at position x, F(x, t) is the fatigue performance function of the steel bar at time t, α is the first adjustment factor of ambient humidity, H(x, t) is the ambient humidity of the building at position x at time t, T(x, t) is the ambient temperature of the building at position x at time t, β is the first adjustment factor of ambient temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed overall construction period.

8. A BIM-based steel bar production management system as claimed in claim 7, characterized in that: The relationship function g(L(t)) between the load vector L(t) of the building at time t and the steel demand includes: Where a is the first adjustment factor of the relationship function, b is the second adjustment factor of the relationship function, n is the first exponential coefficient, m is the second exponential coefficient, and n>m, c is the third adjustment factor of the relationship function, d is the fourth adjustment factor of the relationship function, ω is the frequency of the dynamic load, K is the highest order, p k is the kth order load effect coefficient.

9. A BIM-based steel bar production management system as claimed in claim 7, characterized in that: The stress distribution function S(x) of the building at position x includes: Among them, σ0 is the initial stress value of the building component, ρ is the component density of the building at the position x, g is the gravitational acceleration, h(x) is the component thickness of the building at the position x, E is the elastic modulus of the component, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress of the building at position x, N is the number of defects, β′ i is the weight of the i-th defect, γ is the impact range of the defect, x i is the location of the i-th defect in the building component.

10. The BIM-based steel bar production management system according to claim 7, characterized in that: The fatigue performance function F(x, t) of the steel bar at time t includes: Among them, σ max is the maximum cyclic stress of the building at position x, σ yield is the yield strength of the component, a1 is the first adjustment factor of time, a2 is the second adjustment factor of time, b1 is the fifth adjustment factor of time, a3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T0 is the standard temperature, λ is the second adjustment factor of environmental stability, H0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, and b′ is the adjustment factor of the number of load cycles.

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