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Large-scale steel bar grouping and blanking optimization method and device

A large-scale, rebar technology, applied in the field of large-scale rebar grouping and blanking optimization, can solve the problems of high labor cost and large material waste in rebar engineering

Active Publication Date: 2019-12-10
HUBEI UNIV OF ARTS & SCI
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Problems solved by technology

[0005] The main purpose of the present invention is to provide a large-scale steel bar grouping and blanking optimization method and device, aiming at solving the technical problems of large waste of materials and high labor cost of steel bar engineering in the prior art

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  • Large-scale steel bar grouping and blanking optimization method and device
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  • Large-scale steel bar grouping and blanking optimization method and device

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Embodiment Construction

[0124] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0125] Reference figure 1 , figure 1 It is a schematic structural diagram of a large-scale steel bar grouping and blanking optimization device in a hardware operating environment involved in the scheme of the embodiment of the present invention.

[0126] Such as figure 1 As shown, the electronic device may include a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface...

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Abstract

The invention belongs to the technical field of civil engineering, and discloses a large-scale steel bar grouping and discharging optimization method and device. The method comprises the steps of defining a first variable set, creating a first mathematical model, inputting to-be-blanked steel bars, and acquiring a first steel bar data combination and remaining blanked steel bars; defining a secondvariable set and a third variable set; establishing a second mathematical model and a third mathematical model, dividing the residual steel bar matrix into a first residual steel bar matrix and a second residual steel bar matrix according to a threshold; obtaining a plurality of sub-matrixes A or a plurality of sub-matrixes B through large-scale steel bar grouping, inputting the plurality of sub-matrixes A and the raw materials into the second mathematical model to obtain a second steel bar data combination, and inputting the plurality of sub-matrixes B and the raw materials into the third mathematical model to obtain a third steel bar data combination; combinding the first steel bar data combination with the second steel bar data combination and the third steel bar data combination to serve as a large-scale steel bar grouping and discharging optimization scheme, the steel bar waste rate and the welding point number are greatly reduced, and therefore the total cost of a steel bar project is reduced.

Description

Technical field [0001] The invention relates to the technical field of civil engineering, in particular to a method and device for optimizing large-scale steel bar grouping and cutting. Background technique [0002] At present, in the existing technology, the operation research model model and the optimized steel bar blanking technology used in cutting and blanking not only waste a lot of material, but also cause high labor costs for welding. According to the current steel bar engineering specifications, the waste rate control standard of steel bars is 3%. According to this waste rate control standard, take the construction of a 100,000-square-meter prefabricated real estate project as an example. The steel consumption per square meter is calculated at 50kg / m2. The current market price of steel is 4,500 yuan / ton, and the ratio of material waste can be reduced by 2.5% (assuming that the material waste rate is 0.5% after adopting new technologies). For the waste of steel materials,...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 李业学成羽曹林涛王元元
Owner HUBEI UNIV OF ARTS & SCI
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