Big data efficient simulation beret piece production line intelligent optimization system

Abstract

The invention provides a big data efficient simulation beret piece production line intelligent optimization system, which comprises a big data cloud module, an intelligent host, a reality-based simulation simulation module and an intelligent comparison module, and is characterized in that the cloud big data module is a cloud big data module which collects data in an online networking manner by taking intelligent AI as a standard and stores the data to the cloud; the simulation simulation module takes intelligent AI as a standard, and the simulation simulation module can quickly optimize the production process of a product through the intelligent AI, the big data cloud module, the simulation simulation module and the intelligent comparison module, so that the production precision is improved, the production efficiency is accelerated, and the production cost is reduced. And various data of the product can meet specified requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge steel structure erection, and particularly to an intelligent optimization system for a Bailey truss production line with efficient big data simulation. Background Art

[0002] A Bailey truss, also known as a Bailey bridge, Bailey beam or truss, was first invented by a British engineer during World War II to meet the need for rapid bridge erection during the war and was named after him. It can be used for highway bridges, assembled gantry cranes, guide beams, bridge erecting machines, hanging baskets, etc. The Bailey truss has the characteristics of simple structure, convenient transportation, rapid erection, large load capacity, good interchangeability and strong adaptability.

[0003] The production of Bailey trusses is affected by production processes and production equipment parameters, resulting in differences in production accuracy and production efficiency for each production line. In the case of large orders, products with inconsistent production efficiency often need to be postponed or a large amount of overtime pay needs to be paid to complete, which often brings a certain burden to the enterprise. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent optimization system for a Bailey truss production line with efficient big data simulation. This system can quickly optimize the production process of products through a big data cloud module, a simulation module and an intelligent comparison module, thereby improving production accuracy, accelerating production efficiency, and making the various data of the products meet the specified requirements.

[0005] The purpose of the present invention is achieved as follows: An intelligent optimization system for a Bailey truss production line with efficient big data simulation, characterized in that it includes a big data cloud module, an intelligent host, a reality-based simulation module, and an intelligent comparison module. The implementation method steps of the system are as follows: Step 1: Input a process flow in the production line on the intelligent host; Step 2: The intelligent host sends this process flow to the simulation module through a signal; Step 3: Conduct a simulation through the simulation module and record the production data specifically related to this process flow; Step 4: Input the production data into the intelligent comparison module, and connect the intelligent comparison module to the big data cloud module to compare and produce data intelligently, thereby modifying the parameters, where the parameters include mechanical equipment processing parameters and / or parameters such as production line height, processing speed, processing intensity and processing accuracy.

[0006] Step 5: Repeat Steps 2 to 4 until the obtained data meets the specific production requirements; Step 6: Obtain an intelligently optimized production line process flow; Further, the cloud big data module is a cloud big data module that collects data online and stores it in the cloud based on intelligent AI standards; Further, the simulation module is a simulation module based on intelligent AI standards. Through intelligent AI, the simulation module can automatically generate the parameters and values of the equipment by inputting the equipment name and model, thereby making the simulation degree of the simulation module more accurate. Further, the intelligent host is connected to each module, and the working conditions of each module can be clearly presented on the intelligent host, and various data parameters can be viewed one by one on the intelligent host.

[0007] Compared with the prior art, the beneficial effects of the present invention are as follows: This system can quickly optimize the production process of products through the big data cloud module, the simulation module, and the intelligent comparison module, thereby improving production accuracy, accelerating production efficiency, and enabling the various data of the products to meet the specified requirements. And both the big data cloud module and the simulation module are equipped with intelligent AI, so that the data of the big data cloud module is more intelligent and real, and the simulated data of the simulation module is more accurate and precise. Description of the Drawings

[0008] Figure 1 Schematic diagram of the intelligent optimization system structure of the Bailey truss production line for high-efficiency big data simulation.

[0009] Figure 2 Schematic diagram of the working process of the intelligent optimization system of the Bailey truss production line for high-efficiency big data simulation Detailed Embodiment

[0010] As Figure 1-2 shown, an intelligent optimization system for the Bailey truss production line with high-efficiency big data simulation, characterized in that it includes a big data cloud module, an intelligent host, a simulation module based on reality, and an intelligent comparison module. The implementation method steps of the system are as follows: Step 1: Input a technological process in the production line on the intelligent host; Step 2: The intelligent host sends this technological process to the simulation module through a signal; Step 3: Conduct simulation through the simulation module and record the production data specifically related to this technological process; Step 4: Input the production data into the intelligent comparison module, and connect the intelligent comparison module to the big data cloud module to compare the production data intelligently, thereby modifying the parameters, where the parameters include mechanical equipment processing parameters and / or parameters such as the height, processing speed, processing intensity, and processing accuracy of the production line.

[0011] Step Five: Repeat Steps Two to Four until the obtained data meets the specific production requirements; Step Six: Obtain the intelligent optimized production line process flow.

[0012] Furthermore, the cloud big data module is a cloud big data module that collects data online based on intelligent AI standards and stores it in the cloud.

[0013] Furthermore, the simulation module is a simulation module based on intelligent AI standards. Through intelligent AI, the simulation module can automatically generate the parameters and values of production equipment by inputting the equipment name and model, making the simulation degree of the simulation module more accurate.

[0014] Furthermore, the intelligent host is connected to each module, and the working conditions of each module can be clearly presented on the intelligent host, and various data parameters can be viewed one by one on the intelligent host. The present invention is not limited to the above embodiments. Based on the technical solutions disclosed in the present invention, those skilled in the art can make some substitutions and deformations to some of the technical features without creative labor according to the disclosed technical content, and these substitutions and deformations are all within the protection scope of the present invention.

Claims

1. An intelligent optimization system for a Bailey truss production line with efficient simulation of big data, characterized in that, It includes a big data cloud module, an intelligent host, a reality-based simulation module, and an intelligent comparison module. The implementation method steps of the system are as follows: Step 1: Input a process flow in the production line on the intelligent host. Step 2: The intelligent host sends the process flow to the simulation module via a signal. Step 3: Conduct simulation through the simulation module and record the production data specifically related to the process flow. Step 4: Input the production data into the intelligent comparison module, and connect the intelligent comparison module to the big data cloud module to intelligently compare the production data, thereby modifying the parameters. The parameters include mechanical equipment processing parameters and / or parameters such as the height of the production line, processing speed, processing intensity, and processing accuracy. Step 5: Repeat Steps 2 to 4 until the obtained data meets the specific production requirements. Step 6: Obtain an intelligently optimized production line process flow.

2. The intelligent optimization system for a Bailey truss production line with efficient big data simulation according to claim 1, wherein the cloud big data module is a cloud big data module that collects data online based on intelligent AI as a standard and stores it in the cloud.

3. The intelligent optimization system for a Bailey truss production line with efficient big data simulation according to claim 1, wherein the simulation module is a simulation module based on intelligent AI as a standard. Through intelligent AI, the simulation module can automatically generate the parameters and values of the production equipment by inputting the equipment name and model, thereby making the simulation degree of the simulation module more accurate.

4. The intelligent optimization system for a Bailey truss production line with efficient big data simulation according to claim 1, wherein the intelligent host is connected to each module, and the working conditions of each module can be clearly presented on the intelligent host, and various data parameters can be viewed one by one on the intelligent host.

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