A method for constructing a digital twin intelligent system for scrap steel logistics simulation in an electric furnace steelmaking project

Abstract

The present invention discloses a method for constructing a digital twin intelligent system for simulating scrap steel logistics of an electric furnace steelmaking project. The method includes: step 1: designing a theoretical model for simulating scrap steel logistics and obtaining process parameters for simulating scrap steel logistics; step 2: constructing a core algorithm for simulating scrap steel logistics; step 3: establishing a digital twin intelligent platform for simulating scrap steel logistics of an electric furnace steelmaking project; step 4: performing digital modeling based on a geographic information system; step 5: constructing a digital digital twin intelligent system for simulating scrap steel logistics of an electric furnace steelmaking project; step 6: using the digital twin intelligent system for simulating scrap steel logistics of an electric furnace steelmaking project, simulating the scrap steel logistics of an electric furnace steelmaking project through animation simulation rendering output, and demonstrating the scrap steel logistics of an electric furnace steelmaking project throughout the entire process and life cycle; the present invention significantly reduces the investment cost and technical risk of an electric furnace steelmaking project.

Description

Technical Field

[0001] The present invention relates to the fields of electric furnace steelmaking, logistics simulation and intelligent manufacturing technology, and more specifically, to a method for constructing a digital twin intelligent system for scrap steel logistics simulation in an electric furnace steelmaking project. Background Art

[0002] The electric furnace steelmaking process using scrap steel for smelting can shorten the process from sintering to blast furnace ironmaking to converter steelmaking, greatly reducing carbon emissions, and is an important process for promoting carbon emission reduction. An electric furnace can achieve a 70% to 80% reduction in carbon emissions and save 45% to 50% of comprehensive energy consumption.

[0003] With the development of electric furnace steelmaking technology, the electric furnace steelmaking process represented by the quantum electric furnace has high requirements for scrap steel logistics capacity due to its large nominal capacity, short smelting cycle, large scrap steel consumption and replenishment. Scrap steel logistics has become the key to the design, construction and operation of electric furnace steelmaking projects. Summary of the invention

[0004] In view of the defects and deficiencies in the prior art, the present invention provides a method for constructing a digital twin intelligent system for simulating scrap steel logistics in an electric furnace steelmaking project. According to the technical solution of the electric furnace steelmaking project, the present invention designs a theoretical model for simulating scrap steel logistics, forms a core algorithm for simulating scrap steel logistics, establishes a digital twin intelligent platform for simulating scrap steel logistics in an electric furnace steelmaking project, performs digital modeling based on a geographic information system, constructs a digital twin intelligent system for simulating scrap steel logistics in an electric furnace steelmaking project, simulates the scrap steel logistics in an electric furnace steelmaking project, and simulates the actual situation of the scrap steel logistics in an electric furnace steelmaking project throughout the entire process and life cycle, thereby obtaining key information such as the optimal smelting cycle, scrap steel logistics capacity, scrap steel logistics plan, and theoretical annual production capacity of the electric furnace steelmaking project, simulates and demonstrates the load and capacity of the scrap steel logistics in various situations of the electric furnace steelmaking project, solves the key problems in the design, construction, and operation of the electric furnace steelmaking project, and effectively fills the gap in the construction of the electric furnace steelmaking project.

[0005] 2. Technical solution

[0006] To achieve the above-mentioned purpose, the technical solution provided by the present invention is: a method for constructing a digital twin intelligent system for simulating scrap steel logistics in an electric furnace steelmaking project, comprising a theoretical model for simulating scrap steel logistics, a core algorithm for simulating scrap steel logistics, a digital twin intelligent platform for simulating scrap steel logistics, and a digital twin intelligent system for simulating scrap steel logistics, wherein the method comprises the following steps:

[0007] Step 1: According to the technical plan of the electric furnace steelmaking project, a theoretical model for the simulation of scrap steel logistics is established for the electric furnace smelting cycle, the process of overhead crane lifting the material basket, the process of overhead crane charging, the process of overhead crane replenishing, the process of material basket trolley transportation, and the process of scrap steel vehicle transportation, and the simulation process parameters of scrap steel logistics are obtained;

[0008] Step 2: Based on the theoretical model of scrap steel logistics simulation described in step 1, construct a core algorithm for scrap steel logistics simulation;

[0009] Step 3: Based on the theoretical model of scrap steel logistics simulation and the technical solution of the electric furnace steelmaking project, a digital twin intelligent platform for scrap steel logistics simulation of the electric furnace steelmaking project is established by coupling the front-end, back-end and database development technologies;

[0010] Step 4: Based on the geographic information system and according to the technical plan of the electric furnace steelmaking project, the geographic information of the electric furnace, overhead crane, material basket, and material basket trolley equipment of the electric furnace span, charging span, and scrap steel span is collected, stored, managed, calculated, analyzed, displayed, and described to carry out digital modeling;

[0011] Step 5: Through the EAF steelmaking project scrap logistics simulation digital twin smart platform, combined with the digital model established by digital modeling technology, a virtual EAF steelmaking workshop based on the multi-dimensional data mapping of the real physical world EAF steelmaking workshop is generated, and a digital twin smart system for EAF steelmaking project scrap logistics simulation is constructed;

[0012] Step 6: In the digital twin intelligent system for the simulation of scrap steel logistics of the electric furnace steelmaking project described in step 5, the core algorithm for the simulation of scrap steel logistics is coupled, the process parameters of the theoretical model are input, and the scrap steel logistics are animatedly simulated through animation simulation rendering output, and the scrap steel logistics of the electric furnace workshop is demonstrated throughout the entire process and life cycle, simulating the actual situation of the scrap steel logistics of the electric furnace steelmaking project;

[0013] Step 7: In the actual scrap steel logistics situation of the simulated electric furnace steelmaking project described in step 6, according to the logistics problems found in the simulation, dynamically adjust the process parameters of the scrap steel logistics simulation theoretical model, optimize the scrap steel logistics process, and provide feedback on the equipment layout and logistics process of the electric furnace workshop to optimize the technical solution of the electric furnace steelmaking project;

[0014] Step 8: Repeat the above steps to determine the optimal technical solution for the electric furnace steelmaking project, as well as the corresponding scrap steel logistics simulation theoretical model, scrap steel logistics simulation core algorithm, scrap steel logistics simulation digital twin smart platform and scrap steel logistics simulation digital twin smart system;

[0015] Step nine: In the scrap steel logistics simulation digital twin intelligent system described in step six, the scrap steel logistics process is simulated according to the optimal theoretical model process parameters to obtain the optimal smelting cycle, scrap steel logistics capacity, scrap steel logistics plan and theoretical annual production capacity key information of the electric furnace steelmaking project to support the construction of the electric furnace steelmaking project.

[0016] The present invention can simulate the actual situation of scrap steel logistics of electric furnace steelmaking projects in the whole process and life cycle through the simulation method of scrap steel logistics of electric furnace steelmaking projects, obtain key information such as the optimal smelting cycle, scrap steel logistics capacity, scrap steel logistics plan and theoretical annual production capacity of electric furnace steelmaking projects, simulate and demonstrate the load and capacity of scrap steel logistics of electric furnace steelmaking projects under various production conditions, solve the key problems of design, construction and operation of electric furnace steelmaking projects, significantly reduce the investment cost and risk of electric furnace steelmaking project construction, and effectively fill the gap in the construction of electric furnace steelmaking projects. This project can promote the development of electric furnace steelmaking projects, promote carbon emission reduction in my country's steel industry, and promote green, low-carbon and high-quality development by solving the key problem of scrap steel logistics. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flowchart of the present invention;

[0018] Figure 2 It is a schematic diagram of the simulation of scrap steel logistics in the electric furnace steelmaking project of the present invention.

[0019] In the figure: 1. Electric furnace span; 2. Electric furnace; 3. Charging span; 4. 1# scrap steel span; 5. 2# scrap steel span; 6. 3# scrap steel span; 7. 4# scrap steel span; 8. Overhead crane; 9. Material basket trolley; 10. Scrap steel transport vehicle. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0021] Example 1

[0022] A method for constructing a digital twin intelligent system for simulating scrap steel logistics in an electric furnace steelmaking project in this embodiment includes a theoretical model for simulating scrap steel logistics, a core algorithm for simulating scrap steel logistics, a digital twin intelligent platform for simulating scrap steel logistics, and a digital twin intelligent system for simulating scrap steel logistics, and the steps are as follows:

[0023] Step 1: According to the technical plan of the electric furnace steelmaking project, Figure 2 As shown, it includes a 1-electric furnace span, a 2-electric furnace, a 3-charging span, two 8-charging span cranes, four scrap steel spans (4-scrap steel span, 5-scrap steel span, 6-scrap steel span, 7-scrap steel span), eight scrap steel span cranes, four 9-basket trolleys, and several 10-scrap steel transport vehicles. Theoretical models are established for the electric furnace smelting cycle, the crane lifting basket process, the crane charging process, the crane replenishing process, the basket trolley transportation process, and the scrap steel vehicle transportation process to obtain the scrap steel logistics simulation process parameters;

[0024] Step 2: Based on the theoretical model of scrap steel logistics simulation described in step 1, using computer programming languages ​​such as Java, a core algorithm for scrap steel logistics simulation is formed for the smelting cycle of an electric furnace, two overhead cranes for charging and four baskets, four overhead cranes for charging, four overhead cranes for replenishing, four baskets for transportation by trolleys, and several scrap steel vehicles;

[0025] Step 3: Based on the theoretical model of scrap steel logistics simulation and the technical solution of the electric furnace steelmaking project, a digital twin intelligent platform for scrap steel logistics simulation of the electric furnace steelmaking project is established by coupling front-end development technologies such as HTML, CSS, JavaScript, Vue.js, and Three.js, back-end development technologies such as Java, Spring, MyBatis, and Scala, and database development technologies such as Oracle, MySQL, and Redis;

[0026] Step 4: Based on the geographic information system and the technical plan of the electric furnace steelmaking project, Figure 2 The geographic information of one electric furnace span, one charging span, four scrap steel spans, ten overhead cranes, four material basket trolleys and several scrap steel vehicles and other related equipment is collected, stored, managed, calculated, analyzed, displayed and described, and digital modeling is performed;

[0027] Step 5: Through the EAF steelmaking project scrap steel logistics simulation digital twin smart platform, combined with digital modeling, establish a digital model of the EAF steelmaking project, generate a virtual EAF steelmaking workshop based on multi-dimensional data mapping, and build an EAF steelmaking project scrap steel logistics simulation digital twin smart system;

[0028] Step 6: In the digital twin intelligent system for the simulation of scrap steel logistics in the electric furnace steelmaking project, the core algorithm for the simulation of scrap steel logistics is coupled to control the input of more than 200 theoretical model process parameters, including the electric furnace smelting cycle (30-40 min), overhead crane charging mode, overhead crane replenishing mode, overhead crane operating speed (0-120 m / min for large vehicle, 0-38 m / min for small vehicle, and 0-16 m / min for lifting), overhead crane lifting capacity (1-10 t / time), overhead crane operation rate (50%-100%), and maintenance status (0-2 h per day, 24-72 h per week, 24-240 h per month, and 240-480 h per year). The scrap steel logistics is animatedly simulated, and the scrap steel logistics in the electric furnace workshop is demonstrated throughout the entire process and life cycle to simulate the actual situation of the scrap steel logistics in the electric furnace steelmaking project.

[0029] Step 7: In the actual situation of scrap steel logistics in the simulated electric furnace steelmaking project described in step 5, according to the logistics problems caused by more than 200 theoretical model process parameters such as electric furnace smelting cycle, overhead crane operating capacity, overhead crane charging mode, overhead crane replenishing mode, etc. found in the simulation, dynamically adjust the process parameters of the theoretical model of scrap steel logistics simulation, optimize the scrap steel logistics process, and provide feedback on the equipment layout and logistics process of the electric furnace workshop to optimize the technical plan of the electric furnace steelmaking project;

[0030] Step 8: Repeat the above steps until the optimal technical solution for the electric furnace steelmaking project is determined, as well as the corresponding scrap steel logistics simulation theoretical model, scrap steel logistics simulation digital twin intelligent platform, and scrap steel logistics simulation digital twin intelligent system;

[0031] Step nine: In the scrap steel logistics simulation digital twin intelligent system described in step six, the scrap steel logistics process is simulated according to the optimal theoretical model process parameters to obtain key information such as the optimal smelting cycle of the electric furnace steelmaking project of 32 to 36 minutes, the scrap steel logistics capacity of 20,000 to 24,000 tons / year, the scrap steel logistics plan and the theoretical annual production capacity of 1.5 to 2 million tons, to support the construction of the electric furnace steelmaking project.

[0032] The present invention establishes a scrap steel logistics theoretical model and a scrap steel logistics core algorithm through the technical solution of the electric furnace steelmaking project, establishes a digital twin intelligent platform for the simulation of scrap steel logistics of the electric furnace steelmaking project through front-end, back-end and database development technologies, conducts digital modeling based on the geographic information system, and constructs a digital twin intelligent system for the simulation of scrap steel logistics of the electric furnace steelmaking project. Through a large number of process parameter optimization settings and simulation animation rendering output, the scrap steel logistics is simulated, and the scrap steel logistics of the electric furnace workshop is demonstrated throughout the entire process and life cycle, providing comprehensive and reliable data and technical support for electric furnace steelmaking and scrap steel logistics decision-making. Through the built-in multiple machine learning methods, the continuous optimization of the theoretical model and the iterative update of the core algorithm are realized, and the perfect combination of virtual and reality is achieved, providing support for the design, construction and operation of the electric furnace steelmaking project, providing technical support for the scrap steel logistics capabilities of the electric furnace steelmaking project, and optimizing production management and logistics scheduling.

[0033] The above is a schematic description of the present invention and its implementation methods, which is not restrictive. The drawings show only one implementation method of the present invention, which is not limited thereto. Therefore, if a person skilled in the art is inspired by it and designs a structural method and an implementation method similar to the technical solution without creativity without departing from the purpose of the invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for constructing a digital twin intelligent system for scrap steel logistics simulation in an electric furnace steelmaking project, comprising a scrap steel logistics simulation theoretical model, a scrap steel logistics simulation core algorithm, a scrap steel logistics simulation digital twin intelligent platform and a scrap steel logistics simulation digital twin intelligent system, characterized in that: The method comprises the following steps: Step 1: According to the technical plan of the electric furnace steelmaking project, a theoretical model for the simulation of scrap steel logistics is established for the electric furnace smelting cycle, the process of overhead crane lifting the material basket, the process of overhead crane charging, the process of overhead crane replenishing, the process of material basket trolley transportation, and the process of scrap steel vehicle transportation, and the simulation process parameters of scrap steel logistics are obtained; Step 2: Based on the theoretical model of scrap steel logistics simulation described in step 1, construct a core algorithm for scrap steel logistics simulation; Step 3: Based on the theoretical model of scrap steel logistics simulation and the technical solution of the electric furnace steelmaking project, a digital twin intelligent platform for scrap steel logistics simulation of the electric furnace steelmaking project is established by coupling the front-end, back-end and database development technologies; Step 4: Based on the geographic information system and according to the technical plan of the electric furnace steelmaking project, the geographic information of the electric furnace, overhead crane, material basket, and material basket trolley equipment of the electric furnace span, charging span, and scrap steel span is collected, stored, managed, calculated, analyzed, displayed, and described to carry out digital modeling; Step 5: Through the EAF steelmaking project scrap logistics simulation digital twin smart platform, combined with the digital model established by digital modeling technology, a virtual EAF steelmaking workshop based on the multi-dimensional data mapping of the real physical world EAF steelmaking workshop is generated, and a digital twin smart system for EAF steelmaking project scrap logistics simulation is constructed; Step 6: In the digital twin intelligent system for the simulation of scrap steel logistics of the electric furnace steelmaking project described in step 5, the core algorithm for the simulation of scrap steel logistics is coupled, the process parameters of the theoretical model are input, and the scrap steel logistics are animatedly simulated through animation simulation rendering output, and the scrap steel logistics of the electric furnace workshop is demonstrated throughout the entire process and life cycle, simulating the actual situation of the scrap steel logistics of the electric furnace steelmaking project; Step 7: In the actual scrap steel logistics situation of the simulated electric furnace steelmaking project described in step 6, according to the logistics problems found in the simulation, dynamically adjust the process parameters of the scrap steel logistics simulation theoretical model, optimize the scrap steel logistics process, and provide feedback on the equipment layout and logistics process of the electric furnace workshop to optimize the technical solution of the electric furnace steelmaking project; Step 8: Repeat the above steps to determine the optimal technical solution for the electric furnace steelmaking project, as well as the corresponding scrap steel logistics simulation theoretical model, scrap steel logistics simulation core algorithm, scrap steel logistics simulation digital twin smart platform and scrap steel logistics simulation digital twin smart system; Step nine: In the scrap steel logistics simulation digital twin intelligent system described in step six, the scrap steel logistics process is simulated according to the optimal theoretical model process parameters to obtain the optimal smelting cycle, scrap steel logistics capacity, scrap steel logistics plan and theoretical annual production capacity key information of the electric furnace steelmaking project to support the construction of the electric furnace steelmaking project.

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