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...

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