A continuous casting billet direct feeding and direct rolling intelligent scheduling system based on temperature drop compensation

Abstract

The application belongs to the technical field of metallurgical automation and intelligent manufacturing, and particularly discloses a continuous casting billet direct-feeding and direct-rolling intelligent scheduling system based on temperature drop compensation, which comprises a continuous casting billet temperature field real-time sensing module, a temperature drop compensation intelligent decision module, an equipment pre-diagnosis maintenance module, an insulation facility intelligent regulation and control module, a rolling line entrance collaborative control module, a system integration module and a data visualization module. Through mutual cooperation of the above-mentioned seven modules, the technical problems of low control precision of the casting billet rolling-in temperature, poor logistics connection of the smelting-rolling process, production interruption caused by key equipment failure and global collaborative optimization failure caused by information island of each control system are solved.

Description

Technical Field

[0001] This invention relates to the field of metallurgical automation and intelligent manufacturing technology, specifically to an intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation. Background Technology

[0002] In the steel production process, the direct feeding and rolling technology of continuously cast billets refers to an advanced process in which high-temperature cast billets produced in the continuous casting process are directly fed into a rolling mill for rolling without being heated in a heating furnace or with only minor heating. This technology can significantly reduce heating furnace fuel consumption, shorten the production cycle, and reduce carbon emissions, making it an important way for steel companies to achieve green manufacturing and reduce costs and increase efficiency.

[0003] However, the direct-feed rolling process places extremely high demands on billet temperature control, logistics timing, and equipment operational reliability. In existing technologies, there is a lack of effective coordination and scheduling methods between continuous casting and rolling processes, mainly resulting in the following problems: First, the temperature drop of the billet during the conveying process is difficult to predict accurately. Affected by various factors such as ambient temperature, roller speed, and the condition of the insulation facilities, traditional manual experience-based scheduling methods cannot achieve precise control of the billet's entry temperature into the rolling mill, which can easily lead to excessively high temperatures affecting product quality or excessively low temperatures requiring reheating and increasing energy consumption. Second, the billet output rhythm of continuous casting is difficult to dynamically match with the feeding capacity of the rolling line. When multiple continuous casting machines output billets simultaneously, roller congestion or rolling line waiting can easily occur, causing logistics bottlenecks. Third, key conveying equipment (such as roller motors and bearings) lacks health status monitoring and fault diagnosis functions, and sudden equipment failures often lead to interruptions in direct delivery and rolling. Fourth, the control of insulation facilities relies on manual operation and cannot be dynamically adjusted according to the temperature drop trend, resulting in energy waste due to excessive or insufficient insulation. Fifth, the various control systems (continuous casting, roller conveyor, insulation, and rolling line) are independent of each other, forming information silos and making it impossible to achieve global collaborative optimization. Therefore, there is an urgent need for an intelligent scheduling system that can comprehensively consider temperature compensation, logistics timing, equipment health and collaborative control to solve the technical problems of low temperature control accuracy, poor logistics connection, insufficient equipment reliability and poor system integration in the direct feeding and rolling process. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation. It has the advantages of precise temperature control and dynamic matching of logistics timing, predictive maintenance of equipment health status and emergency scheduling coordination, intelligent temperature replenishment of insulation facilities and integrated multi-system integration. It solves the technical problems in existing technologies such as low accuracy of billet temperature control entering the rolling mill, poor logistics connection between the refining and rolling processes, production interruption caused by key equipment failures, and information silos in various control systems that prevent global collaborative optimization.

[0005] To achieve the above objectives, the basic solution provided by this invention is: an intelligent scheduling system for direct delivery and rolling of continuous casting billets based on temperature drop compensation, comprising a real-time temperature field sensing module for continuous casting billets, an intelligent decision-making module for temperature drop compensation, an equipment pre-diagnosis and maintenance module, an intelligent control module for insulation facilities, a collaborative control module for rolling line entrance, a system integration module, and a data visualization module; The real-time temperature field sensing module for continuous casting billets is used to monitor the surface and core temperatures of the continuous casting billets, the operating parameters of the roller conveyor motor and bearing equipment, and the temperature and humidity of the workshop environment in real time during the conveying process. The temperature drop compensation intelligent decision-making module adopts the optimal rolling time window calculation formula, the logistics timing dynamic calculation formula and the temperature drop prediction correction formula. Combined with real-time working conditions and production plan constraints, it performs the conveying timing, path selection, heat preservation strategy and rolling rhythm arrangement of each billet. Based on the temperature drop prediction correction formula, it outputs the working condition change trend dynamic optimization scheduling scheme to balance the refining-rolling capacity and temperature control. The equipment pre-diagnosis and maintenance module generates preventive maintenance plans and emergency dispatch plans based on the equipment operating parameters collected by the continuous casting billet temperature field real-time sensing module and the operating condition change trend output by the temperature drop compensation intelligent decision module. The intelligent control module of the insulation facility takes the target inlet temperature as the control target and dynamically compensates for the temperature drop loss during the conveying process in combination with the temperature drop trend under the current working conditions. The rolling line inlet collaborative control module receives the optimal rolling time window and dynamic information on logistics timing. Based on the current production rhythm of the rolling line, it coordinates the inlet equipment of the elevator and the alignment device to achieve precise docking of the continuous casting billet with the rolling line. The system integration module receives real-time data and control commands from each module, enabling unified command issuance and real-time data interaction. The data visualization module displays the entire process data on a large screen, providing support for scheduling decisions, energy consumption analysis, and operation monitoring.

[0006] Preferably, the real-time temperature field sensing module for continuously cast billets includes a real-time temperature monitoring unit, an equipment reliability monitoring unit, and an environmental temperature and humidity adaptation unit. The real-time temperature monitoring unit monitors the surface and core temperatures of the billet in real time using infrared thermometers and embedded thermocouples arranged along the roller conveyor and at key nodes, including the temperature difference between the head and tail of the billet, the cross-sectional temperature difference, and the rate of temperature drop. The equipment reliability monitoring unit monitors the roller conveyor motor current, bearing temperature, and equipment vibration amplitude data in real time using vibration sensors, current detection devices, and temperature patches, including motor load fluctuations, bearing overheating, and roller conveyor operation stability indicators. The environmental temperature and humidity adaptation unit monitors the ambient temperature and relative humidity data in real time using distributed temperature and humidity sensors in the workshop, including differences in summer / winter operating conditions and microclimate parameters in different cross-regions.

[0007] Preferably, the temperature drop compensation intelligent decision-making module dynamically calculates the optimal rolling time window for each billet based on the real-time temperature of the continuously cast billet, the target entry temperature, and the current ambient temperature and humidity, combined with the temperature drop rate model and the optimal rolling time window calculation formula. To ensure that the billet is rolled within the optimal temperature range and to avoid affecting product quality or increasing energy consumption due to excessively high or low temperatures, this formula is used to determine the optimal transport time window for the billet from the continuous casting exit to the rolling mill entrance. The calculation formula is as follows:

[0008] In the formula, This indicates the optimal rolling time window for each cast billet. This indicates the initial temperature after the billet is cut. Indicates the target feed temperature. Indicates the number of segments in the transport path. This represents the temperature drop of the i-th segment of the transport path. Indicates the overall cooling coefficient. This indicates a safety margin.

[0009] Preferably, the temperature drop compensation intelligent decision-making module calculates the entire process logistics sequence of the billet from billet exit to rolling mill entry in real time based on the continuous casting billet exit rhythm, roller conveyor speed, insulation facility status, and rolling line production cycle, using a dynamic logistics sequence calculation formula. It dynamically adjusts conveying priorities and path planning to achieve precise matching between the steelmaking and rolling processes. This formula is used to calculate the available time for the billet from cutting completion to delivery to the rolling line entrance. The calculation formula is as follows:

[0010] In the formula, This indicates the available time from the completion of billet cutting to its delivery to the rolling mill entrance. Indicates the moment when the cutting is completed. Indicates the length of the transport path. Indicates the average roller speed. This indicates the waiting time in the queue.

[0011] Preferably, the temperature drop compensation intelligent decision-making module, based on real-time temperature field sensing data and combined with historical temperature drop patterns and current operating condition changes (such as equipment operating status, ambient temperature and humidity fluctuations, and the opening and closing degree of the insulation cover), uses a temperature drop prediction correction formula to perform online correction of the temperature drop prediction model, improving the accuracy of temperature prediction and providing a reliable basis for scheduling decisions. This formula is used to dynamically predict the temperature drop during the conveying process, and its calculation formula is as follows:

[0012] In the formula, This indicates the predicted temperature drop. Indicates the speed influence coefficient. Indicates the length of the transport path. Indicates the average roller speed. Indicates the environmental heat transfer coefficient. Indicates ambient temperature. Indicates the current temperature of the billet. This indicates the actual transport time (the transport time that the billet has taken from the starting point to the current position). This represents the temperature compensation constant.

[0013] Preferably, the intelligent control module for thermal insulation facilities incorporates an intelligent control unit for thermal insulation facilities, a temperature drop trend prediction unit, and a heat compensation strategy optimization unit. Specifically, the intelligent control unit for thermal insulation facilities performs closed-loop automatic control of the opening degree of the thermal insulation cover and the opening and closing of the thermal insulation cap; the temperature drop trend prediction unit predicts the temperature drop curve of the cast billet based on historical data and real-time operating conditions; and the heat compensation strategy optimization unit optimizes the best heat compensation scheme under multi-objective constraints.

[0014] Preferably, the specific control method of the rolling mill inlet collaborative control module is as follows: 1) Elevator Coordinated Control: Based on the predicted billet arrival time and rolling line bite rhythm, dynamically adjust the elevator lifting sequence and pinch roll speed to ensure that the billet enters the rolling line in the optimal posture; 2) Precise positioning of the alignment device: Based on the temperature difference distribution and cross-sectional temperature difference data of the billet head and tail, the alignment device is controlled to make fine adjustments to the attitude of the billet to ensure the alignment accuracy of the rolling bite angle and the center line. 3) Rhythm matching and signal interaction: Real-time reception of the current load and rolling plan of the rolling line, dynamic adjustment of the order and interval of billet entry into the rolling mill, to achieve synchronization of the rhythm of billet exit from continuous casting and material intake of the rolling line, eliminating waiting or backlog.

[0015] Compared with the prior art, the present invention provides an intelligent scheduling system for direct feeding and rolling of continuously cast billets based on temperature drop compensation, which has the following beneficial effects: 1. This invention, through the collaboration of a real-time temperature field sensing module for continuously cast billets and an intelligent decision-making module for temperature drop compensation, employs the optimal rolling time window calculation formula, the dynamic calculation formula for logistics sequence, and the temperature drop prediction and correction formula to achieve accurate calculation and online correction of the optimal entry time window for each billet, the entire process logistics sequence, and dynamic temperature drop compensation. This enables the system to achieve the beneficial effects of precise control of the billet entry temperature and seamless connection of the refining-rolling process logistics, thereby avoiding product quality issues caused by excessively high or low temperatures and waiting or backlog problems caused by logistics congestion.

[0016] 2. This invention, through the linkage of the equipment pre-diagnosis and maintenance module and the temperature drop compensation intelligent decision-making module, constructs an equipment health assessment model based on the correlation analysis of equipment operating parameters and operating condition change trends. This enables early identification of equipment deterioration trends and fault prediction, and simultaneously generates preventive maintenance plans and emergency dispatch plans. This allows for early warning of equipment failures and proactive avoidance of production interruption risks, effectively preventing direct feeding and rolling interruptions caused by sudden failures of key equipment, and significantly improving the robustness and continuity of system operation.

[0017] 3. This invention, through the coordinated execution of the intelligent control module for insulation facilities, the collaborative control module for the rolling line inlet, and the system integration module, optimizes the temperature compensation strategy based on temperature drop trend prediction and multi-objective constraints. It automatically matches the opening degree of the insulation cover and the temperature compensation intensity, while coordinating inlet equipment such as the elevator and alignment device to achieve precise docking of the billet with the rolling line. Through a unified data bus and cross-system command issuance, it achieves centralized control and linkage optimization of the continuous casting, roller conveyor, insulation, and rolling line systems. This results in the beneficial effects of precise temperature compensation on demand to reduce energy consumption per ton of steel, elimination of connection bottlenecks through inlet coordination, and breaking down information silos through multi-system integration. While ensuring the accuracy of the inlet temperature, it significantly improves production efficiency and energy utilization. Attached Figure Description

[0018] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0019] The present invention will be further described in detail below through specific embodiments: like Figure 1 As shown: A smart scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation includes a real-time temperature field sensing module for continuously cast billets, a smart decision-making module for temperature drop compensation, an equipment pre-diagnosis and maintenance module, a smart control module for insulation facilities, a collaborative control module for the rolling line entrance, a system integration module, and a data visualization module, as detailed below: The real-time temperature field sensing module for continuous casting billets serves as the data acquisition front end, used to monitor the surface and core temperatures of the continuous casting billets during the conveying process, the operating parameters of the roller conveyor motor and bearing equipment, and the ambient temperature and humidity of the workshop environment in real time, providing basic data for subsequent scheduling. The module specifically includes a real-time temperature monitoring unit, an equipment reliability monitoring unit, and an ambient temperature and humidity adaptation unit.

[0020] The real-time temperature monitoring unit monitors the surface and core temperatures of the billet in real time using infrared thermometers and embedded thermocouples arranged along the roller conveyor and at key nodes. This includes the temperature difference between the head and tail of the billet, the temperature difference across the cross section, and the rate of temperature drop.

[0021] The equipment reliability monitoring unit monitors the roller conveyor motor current, bearing temperature, and equipment vibration amplitude data in real time through vibration sensors, current detection devices, and temperature patches, including motor load fluctuations, bearing overheating, and roller conveyor operation stability indicators.

[0022] The environmental temperature and humidity adaptation unit monitors ambient temperature and relative humidity data in real time through distributed temperature and humidity sensors in the workshop, including differences in summer / winter working conditions and microclimate environmental parameters in different cross-regional areas.

[0023] The temperature drop compensation intelligent decision-making module receives the output data from the real-time temperature field sensing module of the continuous casting billet, and uses the optimal rolling time window calculation formula, the logistics timing dynamic calculation formula and the temperature drop prediction correction formula. Combined with real-time working conditions and production plan constraints, it performs the conveying timing, path selection, heat preservation strategy and rolling rhythm arrangement of each billet, and outputs the working condition change trend dynamic optimization scheduling scheme according to the temperature drop prediction correction formula to balance the refining-rolling capacity and temperature control. The intelligent decision-making module for temperature drop compensation dynamically calculates the optimal rolling time window for each billet based on the real-time temperature of the continuously cast billet, the target entry temperature, and the current ambient temperature and humidity, combined with a temperature drop rate model and the optimal rolling time window calculation formula. To ensure that the billet is rolled within the optimal temperature range and to avoid affecting product quality or increasing energy consumption due to excessively high or low temperatures, this formula is used to determine the optimal transport time window for the billet from the continuous casting exit to the rolling mill entrance. The calculation formula is as follows:

[0024] In the formula, This indicates the optimal rolling time window for each cast billet. This indicates the initial temperature after the billet is cut. Indicates the target feed temperature. Indicates the number of segments in the transport path. This represents the temperature drop of the i-th segment of the transport path. Indicates the overall cooling coefficient. This indicates a safety margin.

[0025] The advantage is that it dynamically calculates the optimal rolling time window for each billet. Substituting this into the scheduling decision model as a core constraint enables the system to precisely control the conveying rhythm of each billet, avoiding excessive temperature due to premature entry into rolling, which would affect product quality, or excessively low temperature due to late entry into rolling, which would require additional heating and increase energy consumption. This achieves the optimal match between temperature and rhythm, providing a precise time reference for direct delivery and rolling.

[0026] The temperature drop compensation intelligent decision-making module calculates the entire process logistics sequence of the billet from billet exit to rolling mill entry in real time based on the continuous casting billet exit rhythm, roller conveyor speed, insulation facility status, and rolling line production cycle. It dynamically adjusts conveying priorities and path planning to achieve precise matching between the steelmaking and rolling processes. The formula used to calculate the available time for the billet from cutting completion to delivery to the rolling line entrance is as follows:

[0027] In the formula, This indicates the available time from the completion of billet cutting to its delivery to the rolling mill entrance. Indicates the moment when the cutting is completed. Indicates the length of the transport path. Indicates the average roller speed. This indicates the waiting time in the queue.

[0028] The advantage is that it allows for the calculation of the available time from the completion of billet cutting to its delivery to the rolling mill entrance. By incorporating this into the conveying priority sorting and path planning algorithm, the system can dynamically respond to real-time changes in the billet output rhythm of steelmaking and the material feeding capacity of the rolling line, rationally arrange the conveying sequence and path selection of multiple billets corresponding to the multi-flow continuous casting machine, effectively avoid roller congestion and rolling line waiting, and achieve precise matching and seamless connection of logistics between the steelmaking and rolling processes.

[0029] The intelligent decision-making module for temperature drop compensation, based on real-time temperature field sensing data and combining historical temperature drop patterns with current operating condition changes (such as equipment operating status, ambient temperature and humidity fluctuations, and the opening and closing degree of the insulation cover), uses a temperature drop prediction correction formula to correct the temperature drop prediction model online, improving the accuracy of temperature prediction and providing a reliable basis for scheduling decisions. This formula is used to dynamically predict the temperature drop during the conveying process, and its calculation formula is as follows:

[0030] In the formula, This indicates the predicted temperature drop. Indicates the speed influence coefficient. Indicates the length of the transport path. Indicates the average roller speed. Indicates the environmental heat transfer coefficient. Indicates ambient temperature. Indicates the current temperature of the billet. This indicates the actual transport time (the transport time that the billet has taken from the starting point to the current position). This represents the temperature compensation constant.

[0031] The advantage is that it can predict the temperature drop value through calculation. Substituting this into the online correction closed loop of the temperature drop model enables the system to dynamically adjust the temperature drop prediction parameters according to real-time operating conditions. This effectively eliminates the impact of factors such as ambient temperature fluctuations, equipment status changes, and the start and stop of insulation facilities on the accuracy of temperature prediction. It provides high-confidence temperature data support for the calculation of the optimal rolling time window and the formulation of insulation strategies, and significantly improves the adaptability of the scheduling scheme to changes in operating conditions.

[0032] The intelligent control module of the insulation facility takes the target entry temperature of the rolling mill as the control target. Combined with the temperature drop trend under the current working conditions, it dynamically compensates for the temperature drop loss during the conveying process by automatically adjusting the opening and closing degree of the insulation cover and the start and stop of the roller insulation cover, so as to ensure that the billet entry temperature accurately meets the standard. The intelligent control module for thermal insulation facilities incorporates an intelligent control unit for thermal insulation facilities, a temperature drop trend prediction unit, and a heat compensation strategy optimization unit. The intelligent control unit for thermal insulation facilities performs closed-loop automatic control of the opening degree of the thermal insulation cover and the opening and closing of the thermal insulation cap; the temperature drop trend prediction unit predicts the temperature drop curve of the cast billet based on historical data and real-time operating conditions; and the heat compensation strategy optimization unit seeks the optimal heat compensation scheme under multiple objective constraints (lowest energy consumption and temperature compliance).

[0033] The advantages are: by predicting the temperature drop trend, the unit can identify the rate of temperature drop of the billet on the conveying path in advance. Combined with the temperature compensation strategy optimization unit, it can dynamically optimize under the dual constraints of minimizing energy consumption and achieving the temperature target. It can automatically match the opening degree of the insulation cover, the timing of opening and closing the insulation cover and the intensity of temperature compensation, so as to achieve precise temperature compensation on demand. This avoids the energy waste caused by excessive insulation and the temperature exceeding the standard caused by insufficient insulation in the traditional mode. It can effectively reduce the energy consumption per ton of steel while ensuring the accuracy of the temperature entering the rolling mill.

[0034] The equipment pre-diagnosis and maintenance module is based on the equipment operating parameters collected by the continuous casting billet temperature field real-time sensing module, combined with the operating condition change trend output by the temperature drop compensation intelligent decision module, and compares the historical health baseline data to conduct equipment health assessment and fault trend prediction. Based on the assessment and prediction results, it generates preventive maintenance plans and emergency dispatch plans. The equipment pre-diagnosis and maintenance module uses equipment operating parameters collected by the real-time temperature field sensing module of the continuous casting billet to combine the operating condition change trend output by the temperature drop compensation intelligent decision module. It compares the data with historical health baseline data to assess equipment health and predict failure trends. Based on the assessment and prediction results, it generates preventive maintenance plans and emergency dispatch plans. The preventive maintenance plan specifies the list of equipment to be maintained, maintenance timing, maintenance content, and recommended shutdown windows. The emergency dispatch plan specifies the production degradation plan, billet flow adjustment strategy, and equipment switching or emergency repair process in the event of a sudden failure. This enables early warning of equipment failures and avoidance of production interruption risks, providing equipment assurance for the continuous and stable operation of direct feeding and rolling.

[0035] The advantages are: by constructing an equipment health assessment model, the operating parameters (motor current, bearing temperature, vibration amplitude) are correlated with the operating condition change trends output by the temperature drop compensation intelligent decision module. This allows for early identification of equipment deterioration trends and the generation of preventive maintenance plans before failures occur, effectively preventing direct feeding and rolling interruptions due to sudden failures of critical equipment. At the same time, the emergency dispatch plan provides a rapid response mechanism for sudden failures, ensuring a smooth transition in production even under abnormal equipment conditions, and significantly improving the robustness and continuity of system operation.

[0036] The rolling line inlet collaborative control module receives the optimal rolling time window and dynamic logistics sequence information output by the temperature drop compensation intelligent decision module. Based on the current production rhythm of the rolling line, it coordinates inlet equipment such as elevators and alignment devices to achieve precise docking of the continuous casting billet with the rolling line, eliminates connection bottlenecks, and completes seamless connection between the casting billet and the rolling plan, minimizing waiting time. Specifically: 1) Elevator Coordinated Control: Based on the predicted billet arrival time and rolling line bite rhythm, dynamically adjust the elevator lifting sequence and pinch roll speed to ensure that the billet enters the rolling line in the optimal posture; 2) Precise positioning of the alignment device: Based on the temperature difference distribution and cross-sectional temperature difference data of the billet head and tail, the alignment device is controlled to make fine adjustments to the attitude of the billet to ensure the alignment accuracy of the rolling bite angle and the center line. 3) Rhythm matching and signal interaction: Real-time reception of the current load and rolling plan of the rolling line, dynamic adjustment of the order and interval of billet entry into the rolling mill, to achieve synchronization of the rhythm of billet exit from continuous casting and material feeding on the rolling line, eliminating waiting or backlog. The system integration module receives real-time data and control commands from various modules to integrate the control logic of continuous casting, roller conveyor, insulation, and rolling lines. This breaks down information silos, enabling unified command issuance and real-time data interaction. Specifically, it includes cross-system command issuance, data sharing, control access management, linkage logic optimization, remote centralized control, and system anti-interference measures. 1) Cross-system command issuance: The scheduling decision results are converted into standard commands such as continuous casting billet control, roller speed adjustment, heat preservation hood action, and rolling line entry coordination, and issued to each underlying control system for execution; 2) Data interaction and sharing: Construct a unified data bus to realize real-time synchronization and two-way interaction of temperature field data, equipment status, scheduling instructions, and execution feedback among various modules; 3) Control permission management and linkage logic optimization: Hierarchical setting of operation permissions, optimization of collaborative control logic between multiple systems, avoidance of command conflicts, and ensuring seamless permission switching and system linkage response in emergency situations; 4) Remote centralized control and system anti-interference: Provides a remote centralized monitoring and control interface, enhances the system's anti-interference capability, and ensures the reliability of command transmission and control stability under complex working conditions; The data visualization module displays the entire process data on a large screen, providing support for scheduling decisions, energy consumption analysis, and operation monitoring. It includes a visualization dashboard for fuel consumption, insulation energy consumption calculation, energy-saving benefit analysis, energy consumption threshold control, energy consumption data statistics, energy-saving strategy push and carbon emission calculation, as well as data storage and archiving, cleaning and analysis, large screen display, report generation, access control and historical traceability functions. The advantages are as follows: Through the orderly collaboration of the above modules, the entire process of direct feeding and rolling of continuously cast billets is achieved: First, the real-time temperature field sensing module of the continuously cast billet acquires real-time data, which is analyzed and calculated by the intelligent decision-making module for temperature drop compensation to generate the optimal scheduling plan; the equipment pre-diagnosis and maintenance module simultaneously ensures the reliability of equipment operation, providing a stable foundation for the execution of the scheduling plan; then, the execution modules such as the intelligent control module for insulation facilities and the collaborative control module for the rolling line entrance provide precise control; finally, the system integration module and the data visualization module realize integrated management and visual monitoring of the entire process. Through the close connection of each module, the system connects the key processes of smelting and rolling, realizes direct feeding and rolling of continuously cast billets, significantly reduces fuel consumption in the heating furnace, and improves production efficiency and product quality.

[0037] The above descriptions are merely embodiments of the present invention, and common knowledge regarding specific structures and characteristics is not elaborated upon here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the structure of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A smart scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation, characterized in that, It includes a real-time temperature field sensing module for continuous casting billets, an intelligent decision-making module for temperature drop compensation, an equipment pre-diagnosis and maintenance module, an intelligent control module for insulation facilities, a collaborative control module for rolling line inlets, a system integration module, and a data visualization module; The real-time temperature field sensing module for continuous casting billets is used to monitor the surface and core temperatures of the continuous casting billets, the operating parameters of the roller conveyor motor and bearing equipment, and the temperature and humidity of the workshop environment in real time during the conveying process. The temperature drop compensation intelligent decision-making module adopts the optimal rolling time window calculation formula, the logistics timing dynamic calculation formula and the temperature drop prediction correction formula. Combined with real-time working conditions and production plan constraints, it performs the conveying timing, path selection, heat preservation strategy and rolling rhythm arrangement of each billet. Based on the temperature drop prediction correction formula, it outputs the working condition change trend dynamic optimization scheduling scheme to balance the refining-rolling capacity and temperature control. The equipment pre-diagnosis and maintenance module generates preventive maintenance plans and emergency dispatch plans based on the equipment operating parameters collected by the continuous casting billet temperature field real-time sensing module and the operating condition change trend output by the temperature drop compensation intelligent decision module. The intelligent control module of the insulation facility takes the target inlet temperature as the control target and dynamically compensates for the temperature drop loss during the conveying process in combination with the temperature drop trend under the current working conditions. The rolling line inlet collaborative control module receives the optimal rolling time window and dynamic information on logistics timing. Based on the current production rhythm of the rolling line, it coordinates the inlet equipment of the elevator and the alignment device to achieve precise docking of the continuous casting billet with the rolling line. The system integration module receives real-time data and control commands from each module, enabling unified command issuance and real-time data interaction. The data visualization module displays the entire process data on a large screen, providing support for scheduling decisions, energy consumption analysis, and operation monitoring.

2. The intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation according to claim 1, characterized in that... The real-time temperature field sensing module for continuously cast billets includes a real-time temperature monitoring unit, an equipment reliability monitoring unit, and an environmental temperature and humidity adaptation unit. The real-time temperature monitoring unit monitors the surface and core temperatures of the billet in real time using infrared thermometers and embedded thermocouples deployed along the roller conveyor and at key nodes, including the temperature difference between the head and tail of the billet, the cross-sectional temperature difference, and the rate of temperature drop. The equipment reliability monitoring unit monitors the roller conveyor motor current, bearing temperature, and equipment vibration amplitude data in real time using vibration sensors, current detection devices, and temperature patches, including motor load fluctuations, bearing overheating, and roller conveyor operation stability indicators. The environmental temperature and humidity adaptation unit monitors the ambient temperature and relative humidity data in real time using distributed temperature and humidity sensors in the workshop, including differences in summer / winter operating conditions and microclimate parameters in different cross-regional areas.

3. The intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation according to claim 1, characterized in that, The intelligent decision-making module for temperature drop compensation dynamically calculates the optimal rolling time window for each billet based on the real-time temperature of the continuously cast billet, the target entry temperature, and the current ambient temperature and humidity, combined with a temperature drop rate model and the optimal rolling time window calculation formula. To ensure that the billet is rolled within the optimal temperature range and to avoid affecting product quality or increasing energy consumption due to excessively high or low temperatures, this formula is used to determine the optimal transport time window for the billet from the continuous casting exit to the rolling mill entrance. The calculation formula is as follows: In the formula, This indicates the optimal rolling time window for each cast billet. This indicates the initial temperature after the billet is cut. Indicates the target feed temperature. Indicates the number of segments in the transport path. This represents the temperature drop of the i-th segment of the transport path. Indicates the overall cooling coefficient. This indicates a safety margin.

4. The intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation according to claim 1, characterized in that, The temperature drop compensation intelligent decision-making module calculates the entire process logistics sequence of the billet from billet exit to rolling mill entry in real time based on the continuous casting billet exit rhythm, roller conveyor speed, insulation facility status, and rolling line production cycle. It dynamically adjusts conveying priorities and path planning to achieve precise matching between the steelmaking and rolling processes. The formula used to calculate the available time for the billet from cutting completion to delivery to the rolling line entrance is as follows: In the formula, This indicates the available time from the completion of billet cutting to its delivery to the rolling mill entrance. Indicates the moment when the cutting is completed. Indicates the length of the transport path. Indicates the average roller speed. This indicates the waiting time in the queue.

5. The intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation according to claim 1, characterized in that... The temperature drop compensation intelligent decision-making module, based on real-time temperature field sensing data and combined with historical temperature drop patterns and current operating condition changes (such as equipment operating status, ambient temperature and humidity fluctuations, and the opening and closing degree of the insulation cover), uses a temperature drop prediction correction formula to correct the temperature drop prediction model online, improving the accuracy of temperature prediction and providing a reliable basis for scheduling decisions. This formula is used to dynamically predict the temperature drop during the conveying process, and its calculation formula is as follows: In the formula, This indicates the predicted temperature drop. Indicates the speed influence coefficient. Indicates the length of the transport path. Indicates the average roller speed. Indicates the environmental heat transfer coefficient. Indicates ambient temperature. Indicates the current temperature of the billet. This indicates the actual transport time (the transport time that the billet has taken from the starting point to the current position). This represents the temperature compensation constant.

6. The intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation according to claim 1, characterized in that, The intelligent control module for thermal insulation facilities includes an intelligent control unit for thermal insulation facilities, a temperature drop trend prediction unit, and a heat compensation strategy optimization unit. The intelligent control unit for thermal insulation facilities performs closed-loop automatic control of the opening degree of the thermal insulation cover and the opening and closing of the thermal insulation cover; the temperature drop trend prediction unit predicts the temperature drop curve of the billet based on historical data and real-time operating conditions; and the heat compensation strategy optimization unit optimizes the best heat compensation scheme under multi-objective constraints.

7. The intelligent scheduling system for direct delivery and rolling of continuously cast billets based on temperature drop compensation according to claim 1, characterized in that, The specific control method of the rolling mill inlet collaborative control module is as follows: 1) Elevator Coordinated Control: Based on the predicted billet arrival time and rolling line bite rhythm, dynamically adjust the elevator lifting sequence and pinch roll speed to ensure that the billet enters the rolling line in the optimal posture; 2) Precise positioning of the alignment device: Based on the temperature difference distribution and cross-sectional temperature difference data of the billet head and tail, the alignment device is controlled to make fine adjustments to the attitude of the billet to ensure the alignment accuracy of the rolling bite angle and the center line. 3) Rhythm matching and signal interaction: Real-time reception of the current load and rolling plan of the rolling line, dynamic adjustment of the order and interval of billet entry into the rolling mill, to achieve synchronization of the rhythm of billet exit from continuous casting and material intake of the rolling line, eliminating waiting or backlog.

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