Iron-steel interface full-process intelligent tracking method and related equipment

Abstract

The invention discloses an iron-steel interface full-process intelligent tracking method and related equipment, and relates to the field of metal smelting, the method comprises the steps that physical state information of molten iron injected into a molten iron tank car at a blast furnace end is automatically collected, and the physical state information comprises temperature information, weight information and component information; generating an identity label of the molten iron tank car; binding the physical state information with the identity identification information; generating identity two-dimensional code information and identity RFID information based on the identity identification information; and carrying out iron-steel interface whole-process intelligent tracking based on the identity two-dimensional code information and the identity RFID information.

Description

Technical Field

[0001] The present invention relates to the field of metal smelting, and more specifically, to a full-process intelligent tracking method of an iron-steel interface and related equipment. Background Art

[0002] In the steel production process, the transportation of molten iron from the blast furnace to the steelmaking end is a key link, which directly affects the production efficiency and the quality of steel products. The traditional method of tracking molten iron transportation mainly relies on manual management, recording and scheduling. This method has many problems, such as:

[0003] 1. Information lag: Due to reliance on manual data input, the location information and status information of the molten iron tanker cannot be updated in real time, which may result in the steelmaking end being unable to obtain the status of the molten iron in time, affecting production scheduling.

[0004] 2. Inaccurate data: Manual recording or reading of the physical state information of molten iron (such as temperature, weight, and composition) is easily interfered by human factors, resulting in inaccurate data, which in turn affects production decisions.

[0005] 3. Inefficient scheduling: Due to the lack of systematic real-time tracking and information feedback, the scheduling process of molten iron tank cars usually requires a long time for manual adjustment, which is inefficient and unable to adapt to rapidly changing production needs.

[0006] 4. Lack of full-process traceability: There is a lack of full-process monitoring of each tank truck during the transportation of molten iron, which makes it impossible to trace the entire process of molten iron from blast furnace to steelmaking. Once a problem occurs, it is difficult to locate the problem.

[0007] In order to improve the level of intelligent production management and reduce manual participation, many modern steel companies have begun to explore solutions based on automation systems and intelligent tracking technologies. However, some existing solutions still have the following shortcomings: poor equipment compatibility and inability to be used flexibly in different production environments. Data collection and transmission are not real-time enough, and information transmission delays are still large. Summary of the invention

[0008] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further described in detail in the Detailed Description of the Invention section. The Summary of the Invention section of this application does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0009] In the first aspect, the present application proposes a full-process intelligent tracking method for an iron-steel interface, comprising:

[0010] Automatically collect physical state information of molten iron injected into the molten iron tank car at the blast furnace end, wherein the physical state information includes temperature information, weight information and composition information;

[0011] Generate the identity of the hot metal tank car;

[0012] Binding the above physical status information with the above identity identification information;

[0013] Generate identity QR code information and identity RFID information based on the above identity identification information;

[0014] Based on the above identity QR code information and identity RFID information, the whole process of iron and steel interface is intelligently tracked.

[0015] In a feasible implementation, it also includes:

[0016] Obtaining temperature information of the above-mentioned molten iron tank car during transportation;

[0017] The identity QR code information is updated based on the temperature information.

[0018] In a feasible implementation manner, the temperature information is realized by changing the color of the QR code element of the relevant area in the identity QR code information.

[0019] In a feasible implementation, cameras are mainly used at the above-mentioned blast furnace tapping point and steelmaking end receiving point, with RFID as an auxiliary; cameras are used preferentially in open areas on the transportation route, and RFID is supplemented when necessary; cameras are used primarily in complex terrain or narrow spaces, with RFID used as an auxiliary when vision is obstructed; cameras are used preferentially in transfer stations or dispatching areas, with RFID supplemented at key nodes.

[0020] In a feasible implementation, it also includes:

[0021] Obtain production plan information and actual production rhythm information;

[0022] Generate and update molten iron resource planning information based on the above production plan information and the above actual production rhythm information;

[0023] The updated molten iron resource plan information is sent to the blast furnace end, steelmaking end and molten iron tank car end to adjust the production schedule of the blast furnace end and steelmaking end, and adjust the moving speed of the molten iron tank car.

[0024] In a feasible implementation manner, the above-mentioned generation and updating of the molten iron resource plan information based on the above-mentioned production plan information and the above-mentioned actual production rhythm information includes:

[0025] Identify deviation information and bottleneck information between the production plan information and the actual production rhythm information by using a time series analysis method;

[0026] Based on the above deviation information and bottleneck information, the ARIMA model is used to predict the production progress, molten iron demand and tank car scheduling to obtain the above updated molten iron resource planning information.

[0027] In a feasible implementation manner, the updating of the molten iron resource plan information is sent to the blast furnace end, the steelmaking end and the molten iron tank car end to adjust the production schedule of the blast furnace end and the steelmaking end, and adjust the moving speed of the molten iron tank car, including:

[0028] Determine an objective function, wherein the objective function includes a function of maximizing the matching degree between blast furnace output and steelmaking demand, a function of minimizing tank truck transportation time and temperature drop, and a function of maximizing tank truck utilization;

[0029] Determine constraints, wherein the constraints include molten iron production constraints, tank truck transportation capacity constraints, and molten iron temperature drop constraints;

[0030] According to the updated molten iron resource plan information, the objective function and the constraints, the adjusted production schedule of the blast furnace end, the production schedule of the steelmaking end and the moving speed of the molten iron tank car are determined through multi-objective particle swarm optimization.

[0031] In the second aspect, the present application proposes a full-process intelligent tracking device for an iron-steel interface, comprising:

[0032] An information collection unit, used to automatically collect physical state information of molten iron injected into the molten iron tank car at the blast furnace end, wherein the physical state information includes temperature information, weight information and composition information;

[0033] A first generating unit, used to generate an identity mark of the molten iron tank car;

[0034] A binding unit, used to bind the above-mentioned physical state information with the above-mentioned identity identification information;

[0035] A second generating unit, used to generate identity QR code information and identity RFID information based on the above identity identification information;

[0036] The tracking unit is used to perform intelligent tracking of the entire process of the iron-steel interface based on the above-mentioned identity QR code information and identity RFID information.

[0037] In the third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the full-process intelligent tracking method of the iron-steel interface as described in any one of the first aspects above when executing the computer program stored in the memory.

[0038] In a fourth aspect, the present application further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the full-process intelligent tracking method of the iron-steel interface of any one of the first aspects is implemented.

[0039] In summary, the method proposed in the embodiment of the present application can obtain the physical state of molten iron in real time by automatically collecting the physical state information injected into the molten iron tank car at the blast furnace end, including temperature information, weight information and composition information, to ensure the timeliness and accuracy of the information, and reduce the production scheduling and quality control problems caused by information lag. By generating the identity of the molten iron tank car and binding it with the physical state information of the molten iron. This information binding ensures the uniqueness of the identity of each tank car and the state of the molten iron it transports, so that the tank car can be accurately identified at each node of the production link, by generating identity QR code information and identity RFID information, and intelligent tracking based on this information. This dual tracking method enables the system to flexibly adapt to different production environments, use QR codes for precise tracking in a visual environment, and use RFID for remote identification in an environment with limited line of sight. Compared with the tracking method of a single mode, this solution has significantly improved accuracy and adaptability. By reading the QR code information and RFID information in real time, the method of the present application can realize the full process intelligent tracking of the molten iron tank car, ensuring that every movement, docking and transportation of the tank car is under the monitoring of the system. This real-time data stream is fed back to the central dispatching system, which can quickly adjust the dispatch of tank trucks to ensure that molten iron can be transported within the optimal path and time, thereby improving the overall dispatching efficiency. Since the system can generate QR codes and RFID information at the same time, even if the reading device in a certain link fails, the system can still obtain the identity information of the tank truck in another way to ensure that the data is not lost or confused, thereby improving the reliability and anti-interference ability of the system. The method proposed in this application can record and trace the entire process of molten iron transportation. Each molten iron tank truck has detailed status data and time node records for the entire process from loading molten iron at the blast furnace end to receiving molten iron at the steelmaking end. If any problems occur in subsequent production, the system can trace back by retrieving historical data and quickly locate the cause of the problem. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0041] Figure 1 A schematic diagram of the process of a full-process intelligent tracking method for an iron-steel interface provided in an embodiment of the present application;

[0042] Figure 2 A schematic diagram of the structure of a full-process intelligent tracking device for an iron-steel interface provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of the structure of an electronic device for full-process intelligent tracking of an iron-steel interface provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0045] See also Figure 1 , which is a schematic diagram of a process flow of a full-process intelligent tracking method for an iron-steel interface provided in an embodiment of the present application, which may specifically include:

[0046] S110, automatically collecting physical state information of molten iron injected into the molten iron tank car at the blast furnace end, wherein the physical state information includes temperature information, weight information and composition information;

[0047] For example, the system automatically collects the physical state information of the molten iron injected into the molten iron ladle car at the blast furnace end. This information includes:

[0048] Temperature information: The real-time temperature of molten iron, used to monitor the temperature changes of molten iron during transportation.

[0049] Weight information: The total weight of molten iron, used to calculate transportation volume and determine production progress.

[0050] Composition information: The composition ratio of molten iron to ensure that it meets the requirements of steelmaking.

[0051] These physical status information are automatically collected through sensors installed on the tank car and blast furnace end to ensure the real-time and accuracy of the information.

[0052] S120 generates the identity of the molten iron tank car;

[0053] Exemplarily, the system automatically generates an identity tag for the molten iron tanker based on the uniqueness of the molten iron tanker. The identity tag is a unique set of codes used to uniquely identify each tanker during the entire transportation process. After the identity tag is generated, it will be associated with the physical state information of the molten iron to ensure that the information of each tanker can be accurately tracked and managed.

[0054] S130: Binding the physical status information with the identity information;

[0055] For example, the system binds physical state information (such as temperature, weight, and composition information) to the tanker's identity information. This binding ensures that the physical state information can be associated with the identity information of a specific tanker, thereby facilitating subsequent tracking and management. This information binding is performed in real time to ensure data consistency and integrity.

[0056] S140 generates identity QR code information and identity RFID information based on the above identity identification information;

[0057] Exemplarily, based on the identity information of the molten iron tank car, two forms of identification are generated:

[0058] Identity QR code information: The tanker’s identity and physical status information are encoded into a QR code for the camera to read.

[0059] Identity RFID information: The tanker's identity and physical status information are written into the RFID tag for long-distance identification.

[0060] The generated QR code and RFID information will be installed or attached to the tank truck so that it can be read by different devices during transportation.

[0061] S150 performs intelligent tracking of the entire process of the iron-steel interface based on the above-mentioned identity QR code information and identity RFID information.

[0062] Exemplarily, the identity QR code information and identity RFID information generated in the previous step are used to track the entire process of the molten iron tank car. The QR code information is read by the camera to obtain the status and location of the tank car in real time. The RFID information is read remotely by the RFID scanning device and is used for identification of the tank car when it is difficult to approach or the light conditions are poor. With this information, the system can track the transportation status, physical status and location information of the molten iron tank car in real time during the entire iron-steel interface process from the blast furnace end to the steelmaking end, ensuring efficient management of the entire transportation process.

[0063] In summary, the method proposed in the embodiment of the present application can obtain the physical state of molten iron in real time by automatically collecting the physical state information injected into the molten iron tank car at the blast furnace end, including temperature information, weight information and composition information, to ensure the timeliness and accuracy of the information, and reduce the production scheduling and quality control problems caused by information lag. By generating the identity of the molten iron tank car and binding it with the physical state information of the molten iron. This information binding ensures the uniqueness of the identity of each tank car and the state of the molten iron it transports, so that the tank car can be accurately identified at each node of the production link, by generating identity QR code information and identity RFID information, and intelligent tracking based on this information. This dual tracking method enables the system to flexibly adapt to different production environments, use QR codes for precise tracking in a visual environment, and use RFID for remote identification in an environment with limited line of sight. Compared with the tracking method of a single mode, this solution has significantly improved accuracy and adaptability. By reading the QR code information and RFID information in real time, the method of the present application can realize the full process intelligent tracking of the molten iron tank car, ensuring that every movement, docking and transportation of the tank car is under the monitoring of the system. This real-time data stream is fed back to the central dispatching system, which can quickly adjust the dispatch of tank trucks to ensure that molten iron can be transported within the optimal path and time, thereby improving the overall dispatching efficiency. Since the system can generate QR codes and RFID information at the same time, even if the reading device in a certain link fails, the system can still obtain the identity information of the tank truck in another way to ensure that the data is not lost or confused, thereby improving the reliability and anti-interference ability of the system. The method proposed in this application can record and trace the entire process of molten iron transportation. Each molten iron tank truck has detailed status data and time node records for the entire process from loading molten iron at the blast furnace end to receiving molten iron at the steelmaking end. If any problems occur in subsequent production, the system can trace back by retrieving historical data and quickly locate the cause of the problem.

[0064] In some examples, this also includes:

[0065] Obtaining temperature information of the above-mentioned molten iron tank car during transportation;

[0066] The identity QR code information is updated based on the temperature information.

[0067] In some examples, the temperature information is achieved by changing the color of the QR code elements in the relevant area of ​​the identity QR code information.

[0068] For example, during the transportation of the molten iron tanker, the system continuously monitors the temperature information of the molten iron through sensors. These sensors are installed on the molten iron tanker and can obtain the molten iron temperature in real time at different stages of molten iron transportation to ensure that temperature changes are continuously recorded. Real-time acquisition of temperature information is crucial to ensure that the molten iron maintains the appropriate temperature during transportation. If the temperature of the molten iron drops too quickly, it may affect the quality and efficiency of the subsequent steelmaking process. Therefore, temperature monitoring is a key link in production control.

[0069] During transportation, when the system obtains the temperature information of the molten iron tank car, the system will automatically update the above identity QR code information based on the above temperature information. Specifically, the system uses a dynamic update mechanism to integrate the temperature information of the molten iron into the QR code in real time to ensure that the QR code contains the latest status of the molten iron. This process is completed automatically without human intervention. When the temperature of the tank car changes, the relevant data in the identity QR code will be updated synchronously, so that the downstream steelmaking end can obtain the latest temperature information when reading the QR code.

[0070] The system not only updates the data in the QR code, but also displays the change of temperature information in a visual way. Specifically, the temperature information is achieved by changing the color of the QR code elements in the relevant area of ​​the identity QR code information. For example:

[0071] When the molten iron temperature is within the ideal range, the color of the relevant area in the QR code may be green, indicating that the molten iron is in normal condition.

[0072] If the temperature drops to the warning range, the color of the relevant area in the QR code may change to yellow, alerting the system operator to the temperature change.

[0073] If the molten iron temperature is lower than the set safety value, the color of this area in the QR code may turn red, sending a clear warning signal.

[0074] This method of changing the color of the QR code can not only intuitively reflect the temperature changes of the molten iron, but also enables the system to quickly identify potential temperature problems, improve response speed, and ensure the quality and efficiency of molten iron transportation.

[0075] In these examples, the method proposed in this application realizes dynamic monitoring of the state of molten iron by obtaining the temperature information of the molten iron tank car in real time during transportation and updating the identity QR code information based on the temperature information. At the same time, by changing the color of the QR code elements to reflect the temperature change, the system can also display the current temperature state through intuitive color changes while transmitting information, thereby improving the intelligence level of the entire transportation monitoring. This method allows the steelmaking end to not only obtain the identity and physical state of the molten iron when scanning the QR code, but also understand the real-time temperature changes, providing a more accurate control basis for the subsequent steelmaking process.

[0076] In some examples, cameras are mainly used at the above-mentioned blast furnace tapping points and steelmaking end receiving points, with RFID as an auxiliary; cameras are used preferentially in open areas on the transportation route, and RFID is supplemented when necessary; cameras are used primarily in complex terrain or narrow spaces, and RFID is used as an auxiliary when vision is blocked; cameras are used preferentially in transfer stations or dispatching areas, and RFID is supplemented at key nodes.

[0077] For example, cameras are mainly used at the taphole of a blast furnace and the receiving point at the steelmaking end, with RFID as an auxiliary. At the taphole of a blast furnace and the receiving point at the steelmaking end, these scenes have good visibility and a relatively stable environment, so cameras can be used preferentially for QR code recognition and information collection. The camera can accurately read the QR code information of the molten iron tank truck, record the tank truck's identity and the physical state information of the molten iron (such as temperature, weight, composition, etc.). In order to increase the redundancy of the system, in special circumstances (such as when the QR code cannot be recognized by the camera due to environmental factors such as contamination and smoke), the RFID scanning device can be used as an auxiliary means to read the RFID information of the tank truck from a long distance to ensure the continuity of information collection.

[0078] In the open areas of the transportation route, cameras are used first, and RFID is used as supplementary if necessary. In the open areas of the transportation route of the molten iron tanker, the sight conditions are good, and the camera can clearly identify the QR code information of the tanker. Therefore, cameras are used first for tanker tracking in such areas. The camera can not only accurately collect the identity QR code information of the molten iron tanker, but also obtain the real-time physical status of the tanker. If you encounter extreme environments (such as bad weather, the tanker is traveling at a high speed, causing the camera to be unable to accurately read the information), you can install an RFID scanning device as an auxiliary identification method to avoid interruption of information collection.

[0079] In complex terrain or narrow spaces, cameras are the main tool, and RFID is used as an auxiliary tool when vision is blocked. During transportation, tank trucks may pass through complex terrain or narrow spaces, such as turns, tunnels, or areas with many obstacles. In these environments, although cameras are still the main tracking tool, if vision is blocked (such as when the tank truck is blocked by obstacles or there is insufficient light), the camera's recognition effect may be affected. At this time, RFID scanning devices can be used as a supplementary identification tool, because RFID technology does not rely on visual linearity and can remotely identify the tank truck's identity information through wireless radio frequency signals when the tank truck cannot be recognized by the camera, ensuring the continuity and reliability of the data.

[0080] In transfer stations or dispatching areas, cameras are used first, and RFID is used as a supplement at key nodes. In transfer stations or dispatching areas, since the regional environment is relatively open and the identity and status of each tank truck need to be accurately tracked, cameras are the preferred tool to record the information and status of the tank trucks in detail. In order to further improve the reliability of data, RFID scanning devices can be added at key nodes (such as the entrances of tank trucks entering and exiting transfer stations, turning points in dispatching areas, etc.). In this way, even if the camera temporarily fails due to environmental interference, RFID can still ensure the accuracy and continuity of information collection.

[0081] The method proposed in the embodiment of the present application maximizes the adaptability and effectiveness of the equipment by flexibly configuring cameras and RFID in different scenarios. In different scenarios such as the blast furnace taphole, steelmaking end, open areas of the transportation route, transfer stations and complex terrain, the camera is used first to obtain the QR code information, while RFID is used as a supplementary means to provide additional redundancy protection in obstructed vision or special environments. This can ensure that the identity information and physical status information of the molten iron tank car are accurately tracked throughout the entire process, and improve the reliability and flexibility of the system.

[0082] In some examples, this also includes:

[0083] Obtain production plan information and actual production rhythm information;

[0084] Generate and update molten iron resource planning information based on the above production plan information and the above actual production rhythm information;

[0085] The updated molten iron resource plan information is sent to the blast furnace end, steelmaking end and molten iron tank car end to adjust the production schedule of the blast furnace end and steelmaking end, and adjust the moving speed of the molten iron tank car.

[0086] For example, the system first obtains production plan information from the production management system, which includes the iron-out plan of the blast furnace, the molten iron demand plan of the steelmaking end, and the transportation plan of the molten iron tank car. These plan information provide the basis for the resource allocation and scheduling of the system.

[0087] At the same time, the system continuously monitors the actual working status of the blast furnace, steelmaking end and tank car through sensors and real-time data acquisition equipment to obtain actual production rhythm information. This rhythm information reflects the actual iron output of the blast furnace, the actual molten iron consumption progress of the steelmaking end, and the current location and transportation status of the molten iron tank car.

[0088] The system identifies deviations and bottlenecks in the production process by comparing the production plan information with the actual production rhythm information. For example, if the actual production rhythm is significantly different from the plan, the system will generate an updated molten iron resource plan information through intelligent algorithms to cope with the changes in production.

[0089] The updated molten iron resource planning information is based on a dynamic assessment of molten iron production and demand, and reallocates molten iron resources to ensure a balance between blast furnace tapping, steelmaking demand, and tank car scheduling. For example, when steelmaking demand increases, the system may increase blast furnace tapping frequency or dispatch more tank cars to participate in transportation.

[0090] The updated molten iron resource plan information generated by the system will be distributed to each key production link:

[0091] Blast furnace: The system will notify the blast furnace to adjust its iron-tapping plan to match the updated steelmaking demand. Specific operations include adjusting the iron-tapping time and iron-tapping amount.

[0092] Steelmaking end: The steelmaking end will adjust the schedule of molten iron reception and consumption according to the system's instructions to ensure synchronization with the production at the blast furnace end.

[0093] Molten iron tank car side: The tank car scheduling system will receive the updated transportation plan to ensure that the molten iron tank car is scheduled and transported at the appropriate time.

[0094] Adjustment of production schedule at the blast furnace end: Based on the updated molten iron resource plan, the blast furnace end will adjust its production schedule. For example, if the updated resource plan shows an increase in demand at the steelmaking end, the blast furnace end may increase the frequency of iron tapping; conversely, if demand decreases, the frequency of iron tapping can be reduced to save resources.

[0095] Adjustment of production schedule at the steelmaking end: The steelmaking end also adjusts its rhythm of receiving molten iron and making steel according to the updated plan to ensure that production efficiency is not affected by molten iron arriving too early or too late.

[0096] Adjust the moving speed of the hot metal tanker: The system will dynamically adjust the moving speed of the tanker according to the transportation demand and scheduling plan of the hot metal tanker. For example, if the demand at the steelmaking end is urgent, the system will instruct the tanker to speed up the transportation; if the production rhythm allows, the tanker can slow down to reduce energy consumption and equipment wear.

[0097] The method proposed in the embodiment of the present application obtains production plan information and actual production rhythm information, generates an updated molten iron resource plan information, and sends the updated resource plan information to the blast furnace end, steelmaking end and molten iron tank car end, thereby realizing the overall optimization of the blast furnace, steelmaking end and tank car scheduling. By dynamically adjusting the production schedule and the moving speed of the molten iron tank car, the system ensures the efficient operation of the molten iron production and transportation process, and further improves resource utilization and production efficiency.

[0098] In some examples, the above-mentioned generating and updating the molten iron resource planning information based on the above-mentioned production plan information and the above-mentioned actual production rhythm information includes:

[0099] Identify deviation information and bottleneck information between the production plan information and the actual production rhythm information by using a time series analysis method;

[0100] Based on the above deviation information and bottleneck information, the ARIMA model is used to predict the production progress, molten iron demand and tank car scheduling to obtain the above updated molten iron resource planning information.

[0101] Exemplarily, the system continuously monitors and collects production plan information (including the blast furnace's iron output plan, the steelmaking end's demand plan, and the tank truck's transportation plan) and actual production rhythm information (including the blast furnace's actual iron output, the steelmaking end's actual demand, and the tank truck's real-time transportation status).

[0102] Time series analysis is used to analyze and compare these time series data to identify deviation information and bottleneck information generated during the production process. Specifically, the system uses time series analysis to detect which time points in the production process have significant deviations from the plan and the actual situation, such as:

[0103] Deviation information: The iron output of the blast furnace does not match the demand at the steelmaking end, resulting in insufficient or excessive supply of molten iron at the steelmaking end.

[0104] Bottleneck information: The dispatching or transportation speed of molten iron tank cars cannot keep up with the demand at the steelmaking end, or the iron output speed at the blast furnace end does not match the transportation capacity of the tank cars.

[0105] Through this time series analysis, the system can quickly identify potential problems in the production process and provide data support for subsequent resource planning adjustments.

[0106] After identifying deviation information and bottleneck information, the system will further use the ARIMA model to predict production progress, molten iron demand and tank car scheduling. ARIMA (AutoRegressive Integrated Moving Average) is a classic time series forecasting model that is suitable for capturing trends and seasonal changes in the production process.

[0107] Production schedule forecast: Based on historical production plans and actual production data, the system uses the ARIMA model to forecast the progress of blast furnace iron production and demand changes at the steelmaking end in the future. This forecast helps the system determine whether the future production rhythm needs to be adjusted to avoid overproduction or underproduction.

[0108] Hot metal demand forecast: The system uses the ARIMA model to predict changes in the demand for hot metal at the steelmaking end. By analyzing historical demand data, the ARIMA model can accurately predict the demand for hot metal in different time periods in the future, ensuring that the steelmaking end has enough hot metal for production.

[0109] Tank car dispatch prediction: The system also uses the ARIMA model to predict the dispatch demand of hot metal tank cars and determine the number of tank cars required and their dispatch time in a certain period of time in the future. This helps the system to reasonably arrange the transportation tasks of tank cars and avoid dispatching too much or too little.

[0110] Based on the forecast results of the ARIMA model, the system generates updated molten iron resource planning information. This updated planning information includes:

[0111] The future iron-making plan at the blast furnace end will be adjusted to ensure that output is synchronized with demand at the steelmaking end.

[0112] Updates on molten iron demand at the steelmaking end help optimize production scheduling.

[0113] The optimization plan for the dispatch of molten iron tank cars ensures that the number of tank cars, dispatch time and transportation routes can meet actual needs.

[0114] Through this updated resource planning information, the system can dynamically adjust the production rhythm and transportation arrangements to improve production efficiency and resource utilization.

[0115] The method proposed in the embodiment of the present application uses a time series analysis method to identify deviation information and bottleneck information in the production process, and then uses the ARIMA model to accurately predict the production progress, molten iron demand and tank car scheduling, and finally generates updated molten iron resource planning information. This method ensures that the system can dynamically adjust the plan during the production process, optimize resource allocation and scheduling, and improve production flexibility and responsiveness.

[0116] In some examples, the updating of the molten iron resource plan information is sent to the blast furnace, the steelmaking and the molten iron tanker to adjust the production schedules of the blast furnace and the steelmaking, and to adjust the moving speed of the molten iron tanker, including:

[0117] Determine an objective function, wherein the objective function includes a function of maximizing the matching degree between blast furnace output and steelmaking demand, a function of minimizing tank truck transportation time and temperature drop, and a function of maximizing tank truck utilization;

[0118] Determine constraints, wherein the constraints include molten iron production constraints, tank truck transportation capacity constraints, and molten iron temperature drop constraints;

[0119] According to the above updated molten iron resource planning information, the above objective function and the above constraints, a multi-objective particle swarm optimization

[0120] Determine the adjusted production schedule of the blast furnace, the production schedule of the steelmaking end, and the moving speed of the hot metal ladle car

[0121] For example, the determination of the objective function is the core of the entire optimization process. According to production requirements, the system needs to be optimized in multiple dimensions. Specifically, the objective function includes the following three parts:

[0122] Maximize the matching function between blast furnace output and steelmaking demand:

[0123] This objective function is used to ensure that the output of the blast furnace matches the actual demand of the steelmaking end. By minimizing the difference between the two, the system can avoid excess or insufficient molten iron and ensure efficient use of production resources.

[0124] This function can be expressed as:

[0125]

[0126] Among them, D steel is the molten iron demand at the steelmaking end at time t, P iron (t) is the molten iron output of the blast furnace at time t.

[0127] The function of minimizing tank truck transportation time and temperature drop aims to optimize the transportation efficiency of molten iron tank trucks, minimize the time required for transportation and the temperature drop of molten iron, ensure that the molten iron maintains an ideal temperature during transportation, and avoid excessive energy loss.

[0128] This function can be expressed as:

[0129]

[0130] Among them, T transport (t) is the transportation time of the tanker at time t, S iron( t) is the remaining amount of molten iron, and ΔTiron(t) is the temperature change of molten iron during transportation.

[0131] The function of maximizing the utilization of tank cars aims to maximize the utilization of molten iron tank cars through reasonable scheduling, reduce the idle time of tank cars, and ensure the efficient use of transportation resources.

[0132] This function can be expressed as:

[0133]

[0134] Where Ucar(t) is the utilization rate of the tank car at time t.

[0135] In order to ensure the feasibility of the optimization results, relevant constraints must be introduced. The constraints in the solution include the following aspects:

[0136] Molten iron production constraints: The output of a blast furnace is limited and must meet the actual production capacity of the blast furnace. Therefore, it is necessary to set molten iron production constraints to ensure that the system does not generate a scheduling plan that exceeds the blast furnace's production capacity.

[0137] The constraints can be expressed as:

[0138] P iron (t)≤P max (t)

[0139] Among them, P max (t) is the maximum capacity of the blast furnace at time t.

[0140] Tank truck transport capacity constraints: The transport capacity of molten iron tank trucks is also limited, and it is necessary to ensure that the scheduling plan does not exceed the maximum transport capacity of the tank trucks.

[0141] The constraints can be expressed as:

[0142] C car (t)≥D iron (t)

[0143] Where Ccar(t) is the dispatchable tank car transport capacity at time t, and Diron(t) is the molten iron demand at time t.

[0144] Molten iron temperature drop constraints: In order to ensure that the molten iron maintains an appropriate temperature during transportation, it is necessary to set temperature drop constraints to prevent the temperature from being too low and affecting the quality of steelmaking.

[0145] The constraints can be expressed as:

[0146] ΔT iron (t)≤ΔY max

[0147] Among them, ΔTmax is the maximum temperature drop allowed for molten iron.

[0148] MOPSO is used to generate the optimal production schedule and tank car scheduling plan based on the updated molten iron resource planning information, objective function and constraints.

[0149] The specific steps include:

[0150] Initialize particle swarm: First, define a particle swarm, where each particle represents a possible production scheduling scheme, including blast furnace output, tank car scheduling, and steelmaking demand matching.

[0151] Fitness evaluation: Evaluate each particle according to the objective functions f1, f2, and f3, and calculate its performance on different objectives.

[0152] Particle speed and position update: Each particle will adjust its speed and position according to its own historical optimal solution and the global optimal solution of the group to find a better scheduling solution.

[0153] Constraint handling: In each iteration, ensure that the generated solution meets the constraints such as molten iron production, tank car transportation capacity and temperature drop.

[0154] Iterative optimization: The particle swarm continuously iterates and eventually finds a set of Pareto optimal solutions, representing multiple balanced production scheduling solutions.

[0155] Through multi-objective particle swarm optimization, the system can generate a set of optimal solutions that meet the objective function and constraints. These solutions include:

[0156] Production scheduling at the blast furnace end: Based on the optimization results, the system will adjust the iron-making plan of the blast furnace to ensure synchronization with steelmaking demand and avoid overproduction or underproduction.

[0157] Production scheduling at the steelmaking end: The production scheduling at the steelmaking end will be updated synchronously according to the adjustments at the blast furnace end to ensure that the steelmaking process receives enough molten iron on time.

[0158] The moving speed of the molten iron tanker: According to the transportation needs of the tanker, the system will dynamically adjust the moving speed of the tanker to ensure that the molten iron can be delivered on time, maximize transportation efficiency, and avoid excessive temperature drop.

[0159] The method proposed in the embodiment of the present application generates adjusted blast furnace production schedule, steelmaking production schedule and moving speed of hot metal tank car by determining objective function and constraint conditions and using multi-objective particle swarm optimization (MOPSO). This optimization process ensures the best balance between hot metal output, transportation efficiency and resource utilization, and improves the overall efficiency of production scheduling.

[0160] like Figure 2 As shown, this application proposes a full-process intelligent tracking device for an iron-steel interface, comprising:

[0161] The information collection unit 21 is used to automatically collect the physical state information of the molten iron injected into the molten iron tank car at the blast furnace end, wherein the physical state information includes temperature information, weight information and composition information;

[0162] A first generating unit 22, used to generate an identity mark of the molten iron tank car;

[0163] A binding unit 23, used to bind the above-mentioned physical state information with the above-mentioned identity identification information;

[0164] A second generating unit 24 is used to generate identity QR code information and identity RFID information based on the above identity identification information;

[0165] The tracking unit 25 is used to perform intelligent tracking of the entire process of the iron-steel interface based on the above-mentioned identity QR code information and identity RFID information.

[0166] Automatically collect physical state information of molten iron injected into the molten iron tank car at the blast furnace end, wherein the physical state information includes temperature information, weight information and composition information;

[0167] Generate the identity of the hot metal tank car;

[0168] Binding the above physical status information with the above identity identification information;

[0169] Generate identity QR code information and identity RFID information based on the above identity identification information;

[0170] Based on the above identity QR code information and identity RFID information, the whole process of iron and steel interface is intelligently tracked.

[0171] In a feasible implementation, it also includes:

[0172] Obtaining temperature information of the above-mentioned molten iron tank car during transportation;

[0173] The identity QR code information is updated based on the temperature information.

[0174] In a feasible implementation manner, the temperature information is realized by changing the color of the QR code element of the relevant area in the identity QR code information.

[0175] In a feasible implementation, cameras are mainly used at the above-mentioned blast furnace tapping point and steelmaking end receiving point, with RFID as an auxiliary; cameras are used preferentially in open areas on the transportation route, and RFID is supplemented when necessary; cameras are used primarily in complex terrain or narrow spaces, with RFID used as an auxiliary when vision is obstructed; cameras are used preferentially in transfer stations or dispatching areas, with RFID supplemented at key nodes.

[0176] In a feasible implementation, it also includes:

[0177] Obtain production plan information and actual production rhythm information;

[0178] Generate and update molten iron resource planning information based on the above production plan information and the above actual production rhythm information;

[0179] The updated molten iron resource plan information is sent to the blast furnace end, steelmaking end and molten iron tank car end to adjust the production schedule of the blast furnace end and steelmaking end, and adjust the moving speed of the molten iron tank car.

[0180] In a feasible implementation manner, the above-mentioned generation and updating of the molten iron resource plan information based on the above-mentioned production plan information and the above-mentioned actual production rhythm information includes:

[0181] Identify deviation information and bottleneck information between the production plan information and the actual production rhythm information by using a time series analysis method;

[0182] Based on the above deviation information and bottleneck information, the ARIMA model is used to predict the production progress, molten iron demand and tank car scheduling to obtain the above updated molten iron resource planning information.

[0183] In a feasible implementation manner, the updating of the molten iron resource plan information is sent to the blast furnace end, the steelmaking end and the molten iron tank car end to adjust the production schedule of the blast furnace end and the steelmaking end, and adjust the moving speed of the molten iron tank car, including:

[0184] Determine an objective function, wherein the objective function includes a function of maximizing the matching degree between blast furnace output and steelmaking demand, a function of minimizing tank truck transportation time and temperature drop, and a function of maximizing tank truck utilization;

[0185] Determine constraints, wherein the constraints include molten iron production constraints, tank truck transportation capacity constraints, and molten iron temperature drop constraints;

[0186] According to the updated molten iron resource plan information, the objective function and the constraints, the adjusted production schedule of the blast furnace end, the production schedule of the steelmaking end and the moving speed of the molten iron tank car are determined through multi-objective particle swarm optimization.

[0187] like Figure 3 As shown, an embodiment of the present application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any method for full-process intelligent tracking of the iron-steel interface described above are implemented.

[0188] Since the electronic device introduced in this embodiment is a device used to implement a full-process intelligent tracking device for the iron-steel interface in the embodiment of the present application, based on the method introduced in the embodiment of the present application, the technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0189] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0190] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0191] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0192] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0193] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0194] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0195] An embodiment of the present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the process of full-process intelligent tracking of the iron-steel interface in the corresponding embodiment.

[0196] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0197] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0198] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. 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 mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0199] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0200] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0201] If the 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 this understanding, the technical solution of the present application is essentially 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, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0202] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A full-process intelligent tracking method for iron-steel interface, characterized in that: include: Automatically collect physical state information of molten iron injected into the molten iron tank car at the blast furnace end, wherein the physical state information includes temperature information, weight information and composition information; Generate the identity of the hot metal tank car; Binding the physical status information with the identity information; Generate identity QR code information and identity RFID information based on the identity identification information; Based on the identity QR code information and identity RFID information, the whole process of the iron and steel interface is intelligently tracked.

2. The full-process intelligent tracking method of the iron-steel interface according to claim 1 is characterized in that: Also includes: Obtaining temperature information of the molten iron tank car during transportation; The identity QR code information is updated based on the temperature information.

3. The full-process intelligent tracking method of the iron-steel interface according to claim 3 is characterized in that: The temperature information is realized by changing the color of the two-dimensional code elements of the relevant area in the identity two-dimensional code information.

4. The full-process intelligent tracking method of the iron-steel interface according to claim 1 is characterized in that: Cameras are mainly used at the blast furnace taphole and steelmaking end receiving point, with RFID as an auxiliary. Cameras are used preferentially in open areas on the transportation route, and RFID is supplemented when necessary. Cameras are used primarily in complex terrain or narrow spaces, with RFID used as an auxiliary when vision is blocked. Cameras are used preferentially in transfer stations or dispatching areas, with RFID supplemented at key nodes.

5. The full-process intelligent tracking method of the iron-steel interface according to claim 1 is characterized in that: Also includes: Obtain production plan information and actual production rhythm information; Generate and update molten iron resource planning information based on the production plan information and the actual production rhythm information; The updated molten iron resource plan information is sent to the blast furnace end, the steelmaking end and the molten iron tank car end to adjust the production schedule of the blast furnace end and the steelmaking end, and adjust the moving speed of the molten iron tank car.

6. The full-process intelligent tracking method of the iron-steel interface according to claim 5 is characterized in that: The generating and updating of molten iron resource planning information based on the production planning information and the actual production rhythm information comprises: Identify deviation information and bottleneck information between the production plan information and the actual production rhythm information by using a time series analysis method; Based on the deviation information and bottleneck information, the ARIMA model is used to predict the production schedule, molten iron demand and tank car scheduling to obtain the updated molten iron resource plan information.

7. The full-process intelligent tracking method of the iron-steel interface according to claim 5 is characterized in that: The updating of the molten iron resource plan information is sent to the blast furnace end, the steelmaking end and the molten iron tank car end to adjust the production schedule of the blast furnace end and the steelmaking end, and adjust the moving speed of the molten iron tank car, including: Determine an objective function, wherein the objective function includes a function of maximizing the matching degree between blast furnace output and steelmaking demand, a function of minimizing tank truck transportation time and temperature drop, and a function of maximizing tank truck utilization; Determining constraint conditions, wherein the constraint conditions include molten iron production constraint conditions, tank truck transportation capacity constraint conditions, and molten iron temperature drop constraint conditions; According to the updated molten iron resource plan information, the objective function and the constraint conditions, the adjusted blast furnace production schedule, steelmaking production schedule and moving speed of the molten iron tank car are determined through multi-objective particle swarm optimization.

8. A full-process intelligent tracking device for iron-steel interface, characterized in that: include: An information collection unit, used to automatically collect physical state information of molten iron injected into the molten iron tank car at the blast furnace end, wherein the physical state information includes temperature information, weight information and composition information; A first generating unit, used to generate an identity mark of the molten iron tank car; A binding unit, used to bind the physical state information with the identity identification information; A second generating unit, configured to generate identity QR code information and identity RFID information based on the identity identification information; The tracking unit is used to perform full-process intelligent tracking of the iron-steel interface based on the identity QR code information and the identity RFID information.

9. An electronic device, comprising: A memory and a processor, characterized in that the processor is used to implement the steps of the full-process intelligent tracking method of the iron-steel interface as described in any one of claims 1-7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the full-process intelligent tracking method of the iron-steel interface as described in any one of claims 1-7 are implemented.

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