A BIM-based steel bar production management method and system

Abstract

The present invention discloses a BIM-based steel bar production management method and system. The method includes: modeling a building through BIM to generate a building model and all components included therein, and obtaining building information, where the building information includes: the total volume of the building, the load vector of the building, the environmental humidity, environmental temperature, and construction progress at each location of the building; 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 numerical range; dividing the fixed numerical range into multiple sub-ranges, each sub-range corresponding to a steel bar demand, checking the sub-range into which the steel bar demand index falls, taking the steel bar demand corresponding to the sub-range as the quantity of steel bars to be produced, and carrying out production.

Description

Technical Field

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

[0002] Intelligent construction is an important part of intelligent buildings, which involves applying advanced information technology, automation technology, and intelligent technology to the entire process of building design, construction, management, and operation. The goal of intelligent construction is to improve the efficiency, quality, safety, and sustainability of construction projects. The following are several key aspects of intelligent 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, providing a unified information platform for all participating parties.

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

[0006] 2. Digital construction

[0007] Description: It includes using technologies such as drones, laser scanning, and Internet of Things sensors for on-site monitoring and data collection.

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

[0009] However, there is no technical solution in the prior art that can perform intelligent control on steel bar production during intelligent construction. Summary of the Invention

[0010] To solve the above technical problems, the present invention proposes a BIM-based steel bar production management method, including:

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

[0012] Setting up 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] Divide the fixed numerical range into multiple sub - ranges, with each sub - range corresponding to the steel bar demand. Check the sub - range into which the steel bar demand index falls, and take the steel bar demand corresponding to the sub - range as the quantity of steel bars to be produced, and then proceed with production.

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

[0015]

[0016] Among them, R(t) is the steel bar 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 bar 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 environmental humidity adjustment factor, H(x, t) is the environmental humidity of the building at position x at time t, T(x, t) is the environmental temperature of the building at position x at time t, β is the first environmental temperature adjustment factor, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed total construction period.

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

[0018]

[0019] Among them, 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.

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

[0021]

[0022] Among them, σ 0 is the initial stress value of the building component, ρ is the density of the building component at position x of the building, g is the acceleration due to gravity, h(x) is the thickness of the building component at position x of the building, E is the component elastic modulus, α c is the adjustment factor of the stress distribution function, τ(x) is the shear stress at position x of the building, N is the number of defects, β′ i is the weight of the i - th defect, γ is the influence range of the defect, xi It is the position of the i-th defect of the component of the building.

[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, a 1 is the first adjustment factor of time, a 2 is the second adjustment factor of time, b 1 is the fifth adjustment factor of time, a 3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b 2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T 0 is the standard temperature, λ is the second adjustment factor of environmental stability, H 0 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, including:

[0027] A modeling module, used to model the building through BIM, generate the building model and all components included, and obtain building information. Among them, the building information includes: the total volume of the building, the load vector of the building, the environmental humidity, environmental temperature and construction progress at each position of the building;

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

[0029] A production module, used to divide the fixed value range into multiple sub-ranges, each sub-range corresponding to the steel bar demand, view the sub-range into which the steel bar demand index falls, use the steel bar demand corresponding to the sub-range as the quantity of steel bars to be produced, and carry out production.

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

[0031]

[0032] Among them, R(t) is the steel bar demand index at time t, V s$V$ 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 bar requirement, $L(t)$ 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 $t$, $\alpha$ is the first adjustment factor of the environmental humidity, $H(x, t)$ is the environmental humidity of the building at position $x$ at time $t$, $T(x, t)$ is the environmental temperature of the building at position $x$ at time $t$, $\beta$ is the first adjustment factor of the environmental temperature, $D(t)$ is the construction progress at time $t$, and the construction progress is the proportion of the completed total construction period.

[0033] Further, the relationship function $g(L(t))$ between the load vector $L(t)$ of the building at time $t$ and the steel bar requirement 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, $\omega$ is the frequency of the dynamic load, $K$ is the highest order, and $p$ k is the $k$-th order load effect coefficient.

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

[0037]

[0038] where $\sigma$ 0 is the initial stress value of the building component, $\rho$ is the density of the building component at position $x$ of the building, $g$ is the acceleration due to gravity, $h(x)$ is the thickness of the building component at position $x$ of the building, $E$ is the elastic modulus of the component, and $\alpha$ c is the adjustment factor of the stress distribution function, $\tau(x)$ is the shear stress at position $x$ of the building, $N$ is the number of defects, and $\beta'$ i is the weight of the $i$-th defect, $\gamma$ is the influence range of the defect, and $x$ i is the position of the $i$-th defect of the building component.

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

[0040]

[0041] where $\sigma$ max is the maximum cyclic stress at position $x$ of the building, $\sigma$ yield is the yield strength of the component, $a$ 1 is the first adjustment factor of time, $a$2 is the second time adjustment factor, b 1 is the fifth time adjustment factor, a 3 is the third time adjustment factor, ω′ is the fourth time adjustment factor, b 2 is the sixth time adjustment factor, c′ is the seventh time adjustment factor, T 0 is the standard temperature, λ is the second ambient stability adjustment factor, H 0 is the standard humidity, v is the second ambient humidity adjustment factor, N′ is the number of load cycles, b′ is the adjustment factor for the number of load cycles.

[0042] Generally speaking, compared with the prior art, the above technical solutions conceived by the present invention have the following beneficial effects:

[0043] The present invention models a building through BIM, generates a building model and all components included therein, and obtains building information. Among them, the building information includes: the total volume of the building, the load vector of the building, the ambient humidity, ambient temperature and construction progress at each location of the building; sets up a steel bar demand estimation model, and calculates a steel bar demand index according to the building information, normalizes the steel bar demand index to a fixed numerical range; divides the fixed numerical range into multiple sub-ranges, each sub-range corresponds to a steel bar demand, checks the sub-range into which the steel bar demand index falls, takes the steel bar demand corresponding to the sub-range as the quantity of steel bars to be produced, and conducts production. Through the above technical solutions, 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 the construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a flowchart of the method of Embodiment 1 of the present invention;

[0045] Figure 2 is a structural diagram of the system of Embodiment 2 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0046] In order to better understand the above technical solutions, the following will describe the above technical solutions in detail in conjunction with the accompanying drawings of the specification and specific embodiments.

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

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

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

[0050] The display screen is used to display the user interfaces of various applications.

[0051] In addition, those skilled in the art can understand that the above structure of the terminal does not limit the terminal. The terminal may include more or fewer components, or combine certain components, or have different component arrangements. 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 elaborated here.

[0052] Embodiment 1

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

[0054] Step 101, model the building through BIM to generate the building model and all the components it contains, and obtain the building information. Among them, the building information includes: the total volume of the building, the load vector of the building, the environmental humidity, environmental temperature, and construction progress at each location of the building;

[0055] Step 102, set up a steel bar demand estimation model, and calculate the steel bar demand index according to the building information, and normalize the steel bar demand index to a fixed value range;

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

[0057]

[0058] Among them, R(t) is the steel bar demand index at time t, V sV 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 bar requirement, 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 the environmental humidity, H(x, t) is the environmental humidity of the building at position x at time t, T(x, t) is the environmental temperature of the building at position x at time t, β is the first adjustment factor of the environmental temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed total 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 bar requirement includes:

[0060]

[0061] Among them, 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. Among them, through software tools such as SAP2000, ETABS, etc., complex nonlinear analysis and calculation can be carried out 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, σ 0 is the initial stress value of the building component, ρ is the density of the building component at position x of the building, g is the acceleration due to gravity, h(x) is the thickness of the building component at position x of the building, 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 at position x of the building, N is the number of defects, β′ i is the weight of the i-th defect, γ is the influence range of the defect, x i is the position of the i-th defect of 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, a 1 is the first time adjustment factor, a 2 is the second time adjustment factor, b 1 is the fifth time adjustment factor, a 3 is the third time adjustment factor, ω′ is the fourth time adjustment factor, b 2 is the sixth time adjustment factor, c′ is the seventh time adjustment factor, T 0 is the standard temperature, λ is the second environmental stability adjustment factor, H 0 is the standard humidity, v is the second environmental humidity adjustment factor, N′ is the number of load cycles, 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 quantity of steel bars to be produced and carry out production.

[0069] Embodiment 2

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

[0071] A modeling module for modeling the building through BIM, generating a building model and all components included therein, and obtaining building information. Among them, the building information includes: the total volume of the building, the load vector of the building, the environmental humidity, environmental temperature and construction progress at each position of the building;

[0072] A setting model module for setting a steel bar demand estimation model, calculating a steel bar demand index according to the building information, and normalizing the steel bar demand index to a fixed numerical range;

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

[0074]

[0075] Among them, R(t) is the steel bar demand index at time t, V sV 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 bar 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 environmental humidity, H(x, t) is the environmental humidity of the building at position x at time t, T(x, t) is the environmental temperature of the building at position x at time t, β is the first adjustment factor of environmental 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 bar demand includes:

[0077]

[0078] Among them, 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.

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

[0080]

[0081] Among them, σ 0 is the initial stress value of the component of the building, ρ is the component density of the building at position x, g is the acceleration due to gravity, h(x) is the component thickness of the building at position x, E is the component elastic modulus, 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 influence range of the defect, x i is the position of the i-th defect of the component of the building.

[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, a 1 is the first adjustment factor of time, a2 is the second time adjustment factor, b 1 is the fifth time adjustment factor, a 3 is the third time adjustment factor, ω′ is the fourth time adjustment factor, b 2 is the sixth time adjustment factor, c′ is the seventh time adjustment factor, T 0 is the standard temperature, λ is the second environmental stability adjustment factor, H 0 is the standard humidity, v is the second environmental humidity adjustment factor, N′ is the number of load cycles, b′ is the adjustment factor for the number of load cycles.

[0085] The production module is used to divide the fixed numerical range into multiple sub-ranges, each sub-range corresponding to the steel bar demand. Check the sub-range into which the steel bar demand index falls, use the steel bar demand corresponding to the sub-range as the quantity of steel bars to be produced, and carry out production.

[0086] Embodiment 3

[0087] The embodiment of the present invention also proposes a storage medium storing multiple instructions, and the instructions are used to implement the described BIM-based steel bar production management method.

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

[0089] Optionally, in this embodiment, the storage medium is set to store program codes for executing the following steps: Step 101, model the building through BIM to generate the building model and all components included, and obtain the building information, where the building information includes: the total volume of the building, the load vector of the building, the environmental humidity, environmental temperature and construction progress at each location of the building;

[0090] Step 102, set up a steel bar demand estimation model, and calculate the steel bar demand index according to the building information, and normalize the steel bar demand index to a fixed numerical range;

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

[0092]

[0093] where R(t) is the steel bar demand index at time t, V sV 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 bar requirement, 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 environmental humidity, H(x, t) is the environmental humidity of the building at position x at time t, T(x, t) is the environmental temperature of the building at position x at time t, β is the first adjustment factor of environmental temperature, D(t) is the construction progress at time t, and the construction progress is the proportion of the completed total 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 bar requirement includes:

[0095]

[0096] Among them, 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, and p k is the k-th order load effect coefficient.

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

[0098]

[0099] Among them, σ 0 is the initial stress value of the building component, ρ is the density of the building component at position x of the building, g is the acceleration due to gravity, h(x) is the thickness of the building component at position x of the building, 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 at position x of the building, N is the number of defects, β′ i is the weight of the i-th defect, γ is the influence range of the defect, and x i is the position of the i-th defect of 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 at position x of the building, σ yield is the yield strength of the component, a 1 is the first adjustment factor of time, a2 is the second time adjustment factor, b 1 is the fifth time adjustment factor, a 3 is the third time adjustment factor, ω′ is the fourth time adjustment factor, b 2 is the sixth time adjustment factor, c′ is the seventh time adjustment factor, T 0 is the standard temperature, λ is the second ambient stability adjustment factor, H 0 is the standard humidity, v is the second ambient humidity adjustment factor, N′ is the number of load cycles, b′ is the adjustment factor for 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. Use the steel bar demand corresponding to the sub-range as the quantity of steel bars to be produced, and proceed with production.

[0104] Embodiment 4

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

[0106] Specifically, the electronic device in this embodiment can be a computer terminal, and the computer terminal can 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 the BIM-based steel bar production management method in the embodiment of the present invention, the corresponding program instructions / modules. The processor runs the software programs and modules stored in the storage medium to perform various functional applications and data processing, that is, to implement the above-mentioned BIM-based steel bar production management method. The storage medium can include a high-speed random storage medium, and can 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 can further include a storage medium remotely set relative to the processor, and these remote storage media can be connected to the terminal through a network. Examples of the above network include but are not limited to the Internet, enterprise intranet, local area network, mobile communication network, and their combinations.

[0108] The processor can store the information and application programs stored in the storage medium through a transmission system call to execute the following steps: Step 101, model the building through BIM to generate the building model and all components included, and obtain the building information. Among them, the building information includes: the total volume of the building, the load vector of the building, the ambient humidity, ambient temperature and construction progress at each location of the building;

[0109] Step 102, set up a steel bar demand estimation model, and calculate the steel bar demand index according to the building information, and normalize the steel bar demand index to a fixed value range;

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

[0111]

[0112] Among them, R(t) is the steel bar 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 bar 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 total 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 bar demand includes:

[0114]

[0115] Among them, 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.

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

[0117]

[0118] Among them, σ 0is the initial stress value of the building component, ρ is the density of the building component at position x of the building, g is the acceleration due to gravity, h(x) is the thickness of the building component at position x of the building, 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 at position x of the building, N is the number of defects, β′ i is the weight of the i-th defect, γ is the influence range of the defect, x i is the position of the i-th defect of 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 at position x of the building, σ yield is the yield strength of the component, a 1 is the first adjustment factor of time, a 2 is the second adjustment factor of time, b 1 is the fifth adjustment factor of time, a 3 is the third adjustment factor of time, ω′ is the fourth adjustment factor of time, b 2 is the sixth adjustment factor of time, c′ is the seventh adjustment factor of time, T 0 is the standard temperature, λ is the second adjustment factor of environmental stability, H 0 is the standard humidity, v is the second adjustment factor of environmental humidity, N′ is the number of load cycles, 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 corresponding to the steel bar demand. Check the sub-range into which the steel bar demand index falls, and use the steel bar demand corresponding to the sub-range as the quantity of steel bars to be produced, and then carry out production.

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

[0124] In the above embodiments of the present invention, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0125] In 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 illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. 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 displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of units or modules can be in electrical or other forms.

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

[0127] In addition, each functional unit in various embodiments of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0128] If the above-mentioned 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 such an understanding, the technical solution of the present invention, in essence, 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. The computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, read-only storage media (ROM, Read-Only Memory), random access storage media (RAM, Random Access Memory), mobile hard disks, magnetic disks, or optical discs and other various media that can store program codes.

[0129] Obviously, the above embodiments are only examples given for clear illustration and are not limitations on the implementation manners. For those of ordinary skill 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 manners here. And the obvious changes or modifications derived therefrom are still within the protection scope of the present 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 steel bar demand estimation model includes: ， in, For time The steel demand index at is the total volume of the building, for time The load vector of the building The relationship function with the steel bar demand, For time The load vector of the building is For buildings in location The stress distribution function at For time When is the fatigue performance function of the steel bar, is the first adjustment factor of ambient humidity, For time When the building is in position The ambient humidity, For time When the building is in position The ambient temperature, is the first adjustment factor for ambient temperature, For time The construction progress at the time of completion is the proportion of the overall construction period that has been completed; 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: time The load vector of the building Relationship function with steel bar demand include: ， in, is the first adjustment factor of the relationship function, is the second adjustment factor of the relationship function, is the first exponential coefficient, is the second exponential coefficient, and , is the third adjustment factor of the relationship function, is the fourth adjustment factor of the relationship function, is the frequency of the dynamic load, is the highest order, For the Step load effect coefficient.

3. A BIM-based steel bar production management method as claimed in claim 1, characterized in that: Buildings in location The stress distribution function at include: ， in, is the initial stress value of the building components, For buildings in location The density of building components at is the acceleration due to gravity, For buildings in location The thickness of the building components at is the elastic modulus of the component, is the adjustment factor of the stress distribution function, For buildings in location The shear stress at is the number of defects, For the The weight of the defect, is the impact range of the defect, Components of buildings The location of the defect.

4. A BIM-based steel bar production management method as claimed in claim 1, characterized in that: time The fatigue performance function of steel bar include: ， in, For buildings in location The maximum cyclic stress at is the yield strength of the component, is the time first adjustment factor, is the second adjustment factor of time, is the fifth adjustment factor of time, is the third adjustment factor of time, is the fourth adjustment factor of time, is the sixth adjustment factor of time, is the seventh adjustment factor of time, is the standard temperature, is the second adjustment factor for environmental stability, is the standard humidity, is the second adjustment factor of ambient humidity, is the number of load cycles, is the adjustment factor for the number of load cycles.

5. 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 steel bar demand estimation model includes: ， in, For time The steel demand index at is the total volume of the building, for time The load vector of the building The relationship function with the steel bar demand, For time The load vector of the building is For buildings in location The stress distribution function at For time When is the fatigue performance function of the steel bar, is the first adjustment factor of ambient humidity, For time When the building is in position The ambient humidity, For time When the building is in position The ambient temperature, is the first adjustment factor for ambient temperature, For time The construction progress at the time of completion is the proportion of the overall construction period that has been completed; 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.

6. A BIM-based steel bar production management system as claimed in claim 5, characterized in that: time The load vector of the building Relationship function with steel bar demand include: ， in, is the first adjustment factor of the relationship function, is the second adjustment factor of the relationship function, is the first exponential coefficient, is the second exponential coefficient, and , is the third adjustment factor of the relationship function, is the fourth adjustment factor of the relationship function, is the frequency of the dynamic load, is the highest order, For the Step load effect coefficient.

7. A BIM-based steel bar production management system as claimed in claim 5, characterized in that: Buildings in location The stress distribution function at include: ， in, is the initial stress value of the building components, For buildings in location The density of building components at is the acceleration due to gravity, For buildings in location The thickness of the building components at is the elastic modulus of the component, is the adjustment factor of the stress distribution function, For buildings in location The shear stress at is the number of defects, For the The weight of the defect, is the impact range of the defect, Components of buildings The location of the defect.

8. A BIM-based steel bar production management system as claimed in claim 5, characterized in that: time The fatigue performance function of steel bar include: ， in, For buildings in location The maximum cyclic stress at is the yield strength of the component, is the time first adjustment factor, is the second adjustment factor of time, is the fifth adjustment factor of time, is the third adjustment factor of time, is the fourth adjustment factor of time, is the sixth adjustment factor of time, is the seventh adjustment factor of time, is the standard temperature, is the second adjustment factor for environmental stability, is the standard humidity, is the second adjustment factor of ambient humidity, is the number of load cycles, is the adjustment factor for the number of load cycles.

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