Secondary cooling chamber water distribution process in molten steel continuous casting process

Abstract

The invention relates to the technical field of casting, and discloses a secondary cooling chamber water distribution process in a molten steel continuous casting process, which comprises the following steps of: 1, connecting a secondary cooling chamber with a cooling water pipeline in a water distribution system, and performing water distribution on the secondary cooling chamber; 2, energy recovery equipment is selected according to the potential energy recovery points, then the equipment is installed, and the equipment is connected with a water distribution system; and thirdly, parameters and settings of energy recovery equipment are adjusted, waste heat or waste heat resources are effectively recovered, and the recovered heat energy is used for heating fluid. By selecting energy recovery equipment and adjusting parameters, waste heat or waste heat resources are recovered and used for heating fluid, the energy utilization efficiency is improved, the energy consumption cost is reduced, automatic water distribution is achieved through an intelligent control algorithm and a sensing technology, the production efficiency is improved, human errors are reduced, the stability and reliability of the production process are ensured, and the production cost is reduced. The production efficiency and the product quality are improved.

Description

Technical Field

[0001] The invention relates to the technical field of casting, in particular to a secondary cooling chamber water distribution process in a continuous casting process of molten steel. Background Art

[0002] The secondary cooling water distribution process is a process widely used in steel mills. Its purpose is to cool the smelted molten steel and produce qualified steel billets for use in the next process. The secondary cooling water distribution process is used in the converter, open hearth, electric furnace and other workshops of the steel mill. The production process is: the smelted molten steel is inverted on the furnace table, the molten steel is transferred from the tundish to the crystallizer, and then cooled by water spray in the time periods of the foot roller, section I and section II to form a steel billet.

[0003] In the prior art, the lack of energy recovery and utilization in the secondary cooling chamber water distribution process during the continuous casting of molten steel will lead to energy waste, increase energy costs, aggravate the impact on the environment, increase carbon emissions and resource consumption. At the same time, the lack of intelligent control and real-time monitoring system in the water distribution process will increase human errors and production uncertainties in the production process, reduce production efficiency and product quality, and the lack of real-time monitoring and early warning system will increase safety hazards in the production process, easily lead to accidents, cause damage to employees and equipment, and affect production continuity.

[0004] Therefore, those skilled in the art provide a secondary cooling chamber water distribution process in the continuous casting process of molten steel to solve the problems raised in the above background technology. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a secondary cooling chamber water distribution process in the continuous casting process of molten steel to solve the problems that the lack of energy recovery and utilization will lead to energy waste, increase energy costs, aggravate the impact on the environment, increase carbon emissions and resource consumption, and at the same time, the lack of intelligent control and real-time monitoring system in the water distribution process will increase human errors and production uncertainties in the production process, and reduce production efficiency and product quality.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A secondary cooling chamber water distribution process in the continuous casting process of molten steel, comprising the following steps:

[0007] Step 1: Connect the second cooling chamber to the cooling water pipeline in the water distribution system, and distribute water to the second cooling chamber;

[0008] Step 2: Select energy recovery equipment based on potential energy recovery points, install the equipment, and connect the equipment to the water distribution system;

[0009] Step 3: Adjust the parameters and settings of the energy recovery equipment to effectively recover waste heat or residual heat resources, and use the recovered heat energy to heat the fluid;

[0010] Step 4: Introduce intelligent control algorithms and sensor technology to automate water distribution;

[0011] Step 5: Establish a real-time monitoring mechanism to monitor the parameters in the water distribution process in real time;

[0012] Step 6: Regularly check the status of pipelines and equipment, and perform necessary cleaning and maintenance work;

[0013] Step 7: Regularly monitor and evaluate the optimization effect and continuously improve the performance of energy recovery equipment;

[0014] Step 8: Develop an improvement plan and timetable, and clearly define the steps and responsible personnel for improvement;

[0015] Step 9: Organize training courses regularly to enable operators to master system operation skills;

[0016] Step 10: Conduct benefit evaluation and cost-benefit analysis regularly, and adjust operation strategies and system configurations based on the results.

[0017] Connect the cooling water pipeline and distribute water. Through appropriate water distribution methods, ensure that the cooling water flows evenly and effectively reduce the temperature of the molten steel; select and install energy recovery equipment to ensure that the equipment is installed in a reasonable position, easy to maintain and operate, and firmly connected to the water distribution system; reasonably use the recovered heat energy to heat the fluid or other production processes to achieve energy reuse; adjust parameters in time through real-time monitoring and feedback control to ensure that the system operates in the best state; use data analysis technology to realize the analysis and processing of real-time monitoring data, and promptly detect abnormal situations and take measures; perform regular maintenance based on the equipment status to ensure stable operation of the system and avoid production interruptions caused by equipment failure; continuously improve equipment performance, improve energy recovery efficiency, reduce energy consumption, and maximize resource utilization; set reasonable improvement goals, monitor improvement progress, and ensure that the improvement plan is completed on time and achieves the expected results; improve the professional level of operators, reduce the possibility of operating errors and accidents, and ensure production safety and stability; optimize system operation based on evaluation results, improve efficiency and cost-effectiveness, ensure that the system operates in the best state, and maximize economic benefits.

[0018] Preferably, in step 1, the specific steps of connecting the pipeline are:

[0019] The first step is to ensure that the connection between the cooling water pipes in the secondary cooling room and the water distribution system is clean and undamaged;

[0020] The second step is to determine the connection method between the second cold room and the cooling water pipeline;

[0021] Step 3: Align the interface of the cooling water pipeline with the corresponding interface of the second cooling chamber;

[0022] Step 4: Use a wrench and a screwdriver to connect and tighten the cooling water pipe to the second cooling chamber;

[0023] Step 5: Check whether there is any water leakage at the connection.

[0024] Cleaning the connection ports can prevent impurities from entering the system, reduce the possibility of subsequent maintenance and failures, and ensure the normal operation of the system; the appropriate connection method can ensure the firmness and sealing of the connection, and avoid water leakage caused by improper connection methods; accurately aligning the interface can ensure the stability and normal operation of the connection, and avoid problems caused by interface misalignment; appropriate tightening force can ensure the stability and sealing of the connection, and avoid water leakage or other problems; timely detection and repair of water leakage problems can avoid wasting water resources, protect equipment safety, and ensure the normal operation of the system.

[0025] Preferably, in step three, the operating temperature range of the energy recovery device is 50° C. to 80° C., the flow velocity range of the fluid in the energy recovery device is 1 m / s to 3 m / s, and the operating pressure range of the energy recovery device is 2 bar to 5 bar.

[0026] Ensuring that the energy recovery equipment operates stably within the temperature range of 50℃ to 80℃ helps maintain the performance and life of the equipment. Too high or too low temperature will damage the equipment or affect its efficiency. Therefore, the temperature must be strictly controlled within the specified range during operation; controlling the flow rate of the fluid in the energy recovery equipment within the range of 1m / s to 3m / s helps ensure the normal operation of the equipment and efficient energy recovery. Too low a flow rate will lead to reduced energy recovery efficiency, while too high a flow rate will increase the pressure and loss of the equipment, so flow rate control is crucial; maintaining the energy recovery equipment within the operating pressure range of 2bar to 5bar helps ensure the safety and performance stability of the equipment. Too high a pressure can cause equipment damage or leakage, while too low a pressure will affect the energy recovery efficiency of the equipment, so the working pressure needs to be strictly controlled.

[0027] Preferably, in step 4, the formula of the intelligent control algorithm is:

[0028] Among them, F 控制 is the control output, e(t) is the difference between the set value and the actual value, K p is the proportional gain, K i is the integral gain, K d is the differential gain;

[0029] Where y is the output of the neural network, f() is the activation function, and w i is the connection weight, x i is the input and b is the bias term.

[0030] Intelligent control algorithms can achieve precise control of the system and improve the stability and dynamic performance of the system through the combined effects of proportional, integral and differential control; neural networks, as a nonlinear modeling method, can learn the complex relationships of the system and improve the adaptability and robustness of the control system.

[0031] Preferably, in step 4, the specific implementation of the sensing technology is:

[0032] Temperature sensor: monitors the temperature of molten steel and cooling water;

[0033] Flow rate sensor: used to monitor the flow rate of molten steel and cooling water;

[0034] Pressure sensor: installed in the pipeline to monitor water pressure;

[0035] Recovery efficiency sensor: used to monitor the recovery efficiency of energy recovery equipment;

[0036] Intelligent control algorithm: In combination with sensing technology, the system’s intelligent control algorithm can adjust the parameters of the water distribution system in real time based on sensor data.

[0037] The data from the temperature sensor can help the system monitor and adjust the operating temperature of the energy recovery equipment in real time to ensure the stability and efficiency of the equipment; the data from the flow rate sensor can help the system monitor the changes in the fluid flow rate in real time and adjust the operating parameters of the energy recovery equipment to improve the energy recovery efficiency; the data from the pressure sensor can help the system monitor the changes in the pipeline pressure in real time and adjust the working status of the equipment to ensure the normal operation and safety of the equipment; the data from the recovery efficiency sensor can provide feedback to help the system optimize the control algorithm and adjust the operating parameters to improve the energy recovery efficiency and system performance; through the feedback of sensor data, the intelligent control algorithm can adjust the temperature, flow rate, and pressure parameters in real time to optimize the system operation and improve the energy recovery efficiency and performance.

[0038] Preferably, in step 5, the specific implementation method of establishing the real-time monitoring mechanism is as follows:

[0039] Sensor network: Install temperature sensors, pressure sensors, and flow sensors to monitor the parameters of molten steel and cooling water;

[0040] Data acquisition system: Establish a data acquisition system to collect real-time data transmitted by sensors;

[0041] Monitoring system: Build a monitoring system that displays the values ​​of various parameters in real time and can issue alarms or reminders so that operators can take timely actions;

[0042] Real-time data analysis: Using real-time data analysis technology, sensor data is processed and analyzed to quickly identify any abnormalities or potential problems;

[0043] Automatic alarm system: Establish an automatic alarm system. When the parameter value exceeds the set range, the system will automatically issue an alarm and prompt the operator to make adjustments or processing.

[0044] The role of the sensor network is to collect key parameter data in real time, provide an accurate monitoring basis for system operation, and help the system understand the operating status of the equipment; the role of the data acquisition system is to record and store sensor data in real time to provide support for subsequent analysis and decision-making; the role of the monitoring system is to enable operators to monitor changes in key parameters in real time, detect abnormal situations in time and take necessary measures; the role of real-time data analysis is to detect abnormal situations in equipment operation in time through real-time monitoring and analysis of data, and help the system run more stably and efficiently; the role of the automated alarm system is to improve response speed, promptly alert operators, reduce human delays, and ensure system safety and stable operation.

[0045] Preferably, in step 5, the real-time data analysis step involves an anomaly detection algorithm and a predictive analysis algorithm, and the anomaly detection algorithm is Where X is the value of the data point, μ is the mean, and σ is the standard deviation; the prediction analysis algorithm is Among them, Y t is the actual value, is the predicted value and α is the smoothing coefficient.

[0046] By calculating the deviation between the data point and the average value and combining it with the standard deviation for judgment, the system can automatically identify abnormal data points that do not conform to normal conditions and remind operators to conduct further inspections and processing; through the analysis and prediction of historical data, the system can help operators predict the development trend of the equipment's operating status based on the difference between the actual value and the predicted value, and take measures in advance to avoid the occurrence or aggravation of potential problems.

[0047] Preferably, in step six, the pipeline surface temperature range is 20°C to 50°C, the cooling water temperature range is 5°C to 25°C, the cooling water pressure range is 1bar to 5bar, and the system pressure range is 0.5bar to 2bar; the cooling water flow range is 5L / min to 20L / min, the molten steel flow range is 2t / min to 10t / min, the cooling water liquid level range is 50% to 80%, and the molten steel liquid level range is 70% to 90%.

[0048] Pipe surface temperature range 20℃~50℃: ensure that the pipe surface temperature is within the appropriate range to avoid damage to the equipment caused by overheating or overcooling; cooling water temperature range 5℃~25℃: keep the cooling water within the appropriate temperature range to effectively cool the equipment and maintain stable operation; cooling water pressure range 1bar~5bar: ensure that the cooling water pressure is within the normal range to ensure the cooling effect and safe operation of the equipment; system pressure range 0.5bar~2bar: monitor the system pressure to ensure that the system is within the normal working range to avoid excessive or low pressure from affecting the equipment; cooling water flow range 5L / min~20L / min: control the cooling water flow to ensure that the equipment is sufficiently cooled and maintain stable operation of the system; molten steel flow range 2t / min~10t / min: monitor the molten steel flow to ensure that the supply of molten steel during the production process is within the appropriate range; cooling water level range 50%~80%: maintain the cooling water level at an appropriate level to ensure the normal operation of the cooling system; molten steel level range 70%~90%: monitor the molten steel level to ensure that the reserve of molten steel during the production process is within the appropriate range.

[0049] Preferably, in step seven, the regularly monitored temperature range of the second cooling chamber is 800°C to 1000°C, the temperature range of the water distribution system is 20°C to 50°C, the monitored flow range of cooling water is 10L / min to 50L / min, and the pressure range of the monitoring pipelines and equipment is 1bar to 5bar.

[0050] Regularly monitor the temperature range of the secondary cooling chamber between 800℃ and 1000℃: ensure that the temperature of the secondary cooling chamber is within the appropriate range to maintain the normal progress of the production process; the temperature range of the water distribution system is 20℃ to 50℃: monitor the temperature of the water distribution system to ensure that the water temperature is within the appropriate range to support the normal operation of the equipment; the cooling water flow range is 10L / min to 50L / min: monitor the flow of cooling water to ensure the cooling effect and the normal operation of the equipment; monitor the pressure of pipelines and equipment between 1bar and 5bar: regularly monitor the pressure of pipelines and equipment to ensure safe and stable operation of the system.

[0051] Preferably, in step ten, the evaluated energy recovery efficiency is in the range of 75% to 90%, the evaluated production efficiency of continuous casting of molten steel is in the range of 85% to 95%, and the evaluated operation cost-effectiveness is in the range of 10% to 20%.

[0052] Estimate the energy recovery efficiency range 75% ~ 90%: evaluate the efficiency of energy recovery equipment to ensure that energy can be effectively recovered and energy consumption can be reduced; evaluate the production efficiency of continuous casting of molten steel 85% ~ 95%: evaluate the production efficiency of continuous casting of molten steel to improve production efficiency and product quality; evaluate the operating cost-effectiveness range savings 10% ~ 20%: evaluate the operating cost-effectiveness, find ways to save costs and improve the economic benefits of equipment operation.

[0053] The present invention provides a secondary cooling chamber water distribution process in the process of continuous casting of molten steel. It has the following beneficial effects:

[0054] 1. The present invention realizes the recovery of waste heat or residual heat resources by selecting energy recovery equipment and adjusting parameters, and uses it to heat fluid, thereby improving energy utilization efficiency, reducing energy consumption costs, optimizing energy utilization efficiency, reducing energy consumption, and reducing environmental impact, which is conducive to energy conservation and emission reduction, and reducing carbon emissions. Through intelligent control algorithms and sensing technology, the present invention realizes automatic water distribution, improves production efficiency, reduces human errors, ensures the stability and reliability of the production process, and improves production efficiency and product quality.

[0055] 2. The present invention establishes a real-time monitoring mechanism. The real-time monitoring and early warning system can detect abnormal situations in time, prevent accidents, ensure the safety of the production process, reduce risks in production, and use real-time data analysis technology to quickly identify potential problems. Then, through anomaly detection algorithms and predictive analysis algorithms, problems can be prevented in advance, thereby improving production efficiency and system stability, thereby effectively utilizing resources, avoiding waste, improving resource utilization efficiency, and achieving sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0058] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention 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 interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof 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.

[0059] The present invention is described in detail below in conjunction with the accompanying drawings:

[0060] Example 1: Water distribution process of the secondary cooling chamber during continuous casting of molten steel

[0061] Please see attached Figure 1 The embodiment of the present invention provides a secondary cooling chamber water distribution process in the continuous casting process of molten steel, comprising the following steps:

[0062] Step 1: Connect the cooling water pipes in the second cold room and the water distribution system to distribute water;

[0063] Step 2: Select the energy recovery equipment and install and connect it to the water distribution system;

[0064] Step 3: Adjust the parameters of the energy recovery equipment to recover waste heat resources for heating the fluid;

[0065] Step 4: Introduce intelligent control algorithms and sensor technology to complete automated water distribution;

[0066] Step 5: Establish a real-time monitoring mechanism to monitor parameters during water distribution;

[0067] Step 6: Regularly check the status of pipelines and equipment, and perform cleaning and maintenance;

[0068] Step 7: Regularly monitor and evaluate the optimization effect and continuously improve the performance of energy recovery equipment;

[0069] Step 8: Develop an improvement plan and timetable, and clearly define the improvement steps and responsible personnel;

[0070] Step 9: Organize training courses regularly to cultivate operators' system operation skills;

[0071] Step 10: Conduct benefit evaluation and cost-benefit analysis regularly, and adjust operation strategies and system configurations;

[0072] Summary: The molten steel continuous casting process of Example 1 focuses on energy recovery and automatic control, improves efficiency and reduces costs through real-time monitoring and continuous improvement, and focuses on system stability and energy recovery efficiency;

[0073] Example 2: Water distribution process of the second cooling chamber during continuous casting of molten steel

[0074] Please see attached Figure 1 The embodiment of the present invention provides a secondary cooling chamber water distribution process in the continuous casting process of molten steel, comprising the following steps:

[0075] Step 1: Connect the cooling water pipes in the second cold room and the water distribution system to distribute water;

[0076] Step 2: Select suitable energy recovery equipment, and install and connect it;

[0077] Step 3: Adjust the parameters of the energy recovery equipment to recover waste heat resources and use them to heat the fluid;

[0078] Step 4: Apply intelligent control algorithms and sensor technology to automatically control the water distribution process;

[0079] Step 5: Establish an efficient real-time monitoring mechanism to monitor parameter changes and make real-time adjustments;

[0080] Step 6: Regularly check the status of pipelines and equipment to ensure that cleaning and maintenance work is carried out;

[0081] Step 7: Continuously monitor and evaluate the optimization results and find room for improvement through data analysis;

[0082] Step 8: Develop a detailed improvement plan and timetable, and clarify the direction of improvement and the responsible person;

[0083] Step 9: Regularly organize training courses to improve operators’ system operation skills;

[0084] Step 10: Conduct benefit evaluation and cost-benefit analysis regularly, and adjust operation strategies and system configurations based on the results;

[0085] Summary: The molten steel continuous casting process of Example 2 focuses on real-time monitoring and data analysis, improves production efficiency and product quality through intelligent control and sensing technology, and focuses on the flexibility and monitoring capabilities of the system;

[0086] Example 3: Water distribution process of the secondary cooling chamber during continuous casting of molten steel

[0087] Please see attached Figure 1 The embodiment of the present invention provides a secondary cooling chamber water distribution process in the continuous casting process of molten steel, comprising the following steps:

[0088] Step 1: Connect the cooling water pipes in the second cold room and the water distribution system to distribute water;

[0089] Step 2: Select energy recovery equipment, install and connect it;

[0090] Step 3: Adjust the parameters of the energy recovery equipment to recover waste heat resources and use them to heat the fluid;

[0091] Step 4: Introduce advanced intelligent control algorithms and sensor technology to highly automate the water distribution process;

[0092] Step 5: Establish an efficient real-time monitoring mechanism and use advanced data analysis technology to monitor and optimize parameters in real time;

[0093] Step 6: Perform preventive maintenance and check the status of pipeline equipment regularly to ensure stable operation of the equipment;

[0094] Step 7: Continuously monitor and evaluate the optimization effect, and improve the performance of energy recovery equipment through big data analysis and artificial intelligence technology;

[0095] Step 8: Develop innovative improvement plans and timetables, introduce new technologies and processes, and improve process levels;

[0096] Step 9: Regularly organize advanced training courses to improve the technical level and innovation awareness of operators;

[0097] Step 10: Continue to conduct cost-benefit analysis and resource utilization assessment to achieve the best operation strategy and system configuration;

[0098] Summarize:

[0099] Embodiment 3 focuses on introducing advanced technology and intelligent control, improving efficiency and performance through data analysis and artificial intelligence technology, and pursuing process innovation and continuous improvement;

[0100] Example 4: Water distribution process of the second cooling chamber during continuous casting of molten steel

[0101] Please see attached Figure 1 The embodiment of the present invention provides a secondary cooling chamber water distribution process in the continuous casting process of molten steel, comprising the following steps:

[0102] Step 1: Connect the cooling water pipes in the second cold room and the water distribution system to distribute water;

[0103] Step 2: Select suitable energy recovery equipment, and install and connect it;

[0104] Step 3: Adjust the parameters of the energy recovery equipment to recover waste heat resources and use them to heat the fluid;

[0105] Step 4: Introduce simplified intelligent control algorithms and sensor technology to achieve basic automated water distribution;

[0106] Step 5: Establish a basic real-time monitoring mechanism to monitor changes in key parameters;

[0107] Step 6: Perform routine maintenance and check the status of pipeline equipment regularly to ensure the normal operation of the equipment;

[0108] Step 7: Regularly monitor and evaluate system performance, and make basic improvements and optimizations;

[0109] Step 8: Develop a simple improvement plan and timetable, and clearly define the direction of improvement and the responsible person;

[0110] Step 9: Conduct regular operation training to improve the basic operating skills of operators;

[0111] Step 10: Conduct cost-benefit analysis regularly and adjust system configuration to improve benefits;

[0112] Summarize:

[0113] Embodiment 4 focuses on simplification and basicization, and pays attention to basic operation and maintenance, and is suitable for situations where resources are limited or the technical level is low;

[0114] Example 5: Water distribution process of the secondary cooling chamber during continuous casting of molten steel

[0115] Please see attached Figure 1 The embodiment of the present invention provides a secondary cooling chamber water distribution process in the continuous casting process of molten steel, comprising the following steps:

[0116] Step 1: Connect the cooling water pipes in the second cold room and the water distribution system to distribute water;

[0117] Step 2: Select suitable energy recovery equipment, and install and connect it;

[0118] Step 3: Adjust the parameters of the energy recovery equipment to recover waste heat resources and use them to heat the fluid;

[0119] Step 4: Use basic control algorithms and sensing technology to achieve basic water distribution control;

[0120] Step 5: Establish a simple real-time monitoring mechanism to monitor changes in key parameters;

[0121] Step 6: Regularly perform basic equipment inspection and maintenance to ensure normal operation of the equipment;

[0122] Step 7: Regularly monitor and evaluate system performance, and make basic improvements and optimizations;

[0123] Step 8: Develop a basic improvement plan and timetable, and clearly define the direction of improvement and the responsible person;

[0124] Step 9: Conduct regular operation training to improve the basic operating skills of operators;

[0125] Step 10: Conduct cost-benefit analysis regularly and adjust system configuration to improve benefits;

[0126] Summarize:

[0127] Embodiment 5 emphasizes basic operations and simplified processes, is suitable for situations where resources are limited or technical requirements are not high, and focuses on basic operations and benefit analysis.

[0128] Comparative experiment 1: Advanced intelligent control system experiment

[0129] Experimental purpose: To compare the effects of advanced intelligent control system and basic control system in the continuous casting process of molten steel

[0130] Experimental setup:

[0131] Advanced intelligent control system:

[0132] Control Algorithm: Deep Learning Neural Network

[0133] Sensing technology: high-precision temperature sensor, pressure sensor, flow rate sensor

[0134] Parameter range: temperature controlled at 800℃~1000℃, flow rate controlled at 2m / s~5m / s, pressure controlled at 2bar~5bar

[0135] Basic control system:

[0136] Control algorithm: PID controller

[0137] Sensing technology: common temperature sensor, pressure sensor, flow rate sensor

[0138] Parameter range: temperature controlled at 700℃~950℃, flow rate controlled at 1m / s~3m / s, pressure controlled at 1bar~4bar

[0139] Experimental steps:

[0140] Experimental steps:

[0141] Step 1: Preparation

[0142] a. Check all hardware equipment of the advanced intelligent control system and basic control system to ensure their normal operation;

[0143] b. Calibrate temperature sensors, pressure sensors and flow rate sensors to ensure accuracy;

[0144] Step 2: Set parameter range

[0145] a. Set the following parameter ranges in the advanced intelligent control system and basic control system:

[0146] Temperature: 800℃~1000℃

[0147] Flow rate: 2m / s~5m / s

[0148] Pressure: 2 bar ~ 5 bar

[0149] b. Ensure that the control algorithm has been loaded correctly and connected with the sensor data in real time;

[0150] Step 3: Run the experiment

[0151] a. Start the continuous casting process of molten steel and monitor the system response and stability;

[0152] b.Record sensor data in real time;

[0153] Step 4: Data Analysis

[0154] a. Use data analysis tools to conduct comparative analysis on the following parameters:

[0155] Temperature(℃)

[0156] Flow rate (m / s)

[0157] Pressure(bar)

[0158] Recovery efficiency (%)

[0159] b. Check the correlation between parameters and identify any potential patterns or anomalies;

[0160] Step 5: Conclusion and Recommendations

[0161] a. Draw conclusions based on data analysis results and evaluate the advantages and disadvantages of advanced intelligent control systems compared to basic control systems;

[0162] b. Make improvement suggestions to optimize the performance and efficiency of the control system.

[0163] Experimental data table:

[0164] parameter Advanced intelligent control system Basic control system Temperature(℃) 900 850 Flow rate (m / s) 4.5 2.5 Pressure(bar) 4.2 2.8 Recovery efficiency (%) 85 75

[0165] Comparative experiment 2: Energy recovery efficiency comparison experiment

[0166] Experimental purpose: To compare the efficiency of different energy recovery equipment in the continuous casting process of molten steel

[0167] Experimental setup:

[0168] Device A:

[0169] Working temperature: 50℃~80℃

[0170] Flow rate range: 1m / s~3m / s

[0171] Working pressure: 2bar~5bar

[0172] Device B:

[0173] Working temperature: 60℃~90℃

[0174] Flow rate range: 2m / s~4m / s

[0175] Working pressure: 3bar~6bar

[0176] Experimental steps:

[0177] Step 1: Preparation

[0178] a. Ensure that the installation positions of energy recovery equipment A and equipment B are correct and that they are well connected to the molten steel continuous casting system;

[0179] b. Calibrate the sensors and ensure the normal operation of device A and device B;

[0180] Step 2: Set parameter range

[0181] a. Set the following parameter ranges in energy recovery device A and device B:

[0182] Working temperature range: 50℃~80℃ / 60℃~90℃

[0183] Flow rate range: 1m / s~3m / s / 2m / s~4m / s

[0184] Working pressure range: 2bar~5bar / 3bar~6bar

[0185] b. Ensure that the equipment parameter settings meet the experimental requirements and are within the safe operating range;

[0186] Step 3: Run the experiment

[0187] a. Start the continuous casting process of molten steel and start the energy recovery equipment A and equipment B at the same time;

[0188] b. Record the operation data of energy recovery equipment in real time;

[0189] Step 4: Data Analysis

[0190] a. Compare the performance of energy recovery equipment A and equipment B in various parameters and analyze their impact on recovery efficiency;

[0191] b. Check the correlation between data;

[0192] Step 5: Conclusion and Recommendations

[0193] a. Draw conclusions based on the data analysis results, evaluate the performance differences between energy recovery equipment A and equipment B, and make improvement recommendations to improve energy recovery efficiency.

[0194] parameter Device A Device B Temperature(℃) 70 80 Flow rate (m / s) 2.5 3.0 Pressure(bar) 4.0 5.0 Recovery efficiency (%) 80 85

[0195] Comparative experiment 3: system stability comparison experiment

[0196] Experimental purpose: To evaluate the influence of different system stability on the continuous casting process of molten steel

[0197] Experimental setup:

[0198] System X:

[0199] Pipe surface temperature range: 25℃~45℃

[0200] Cooling water temperature range: 10℃~20℃

[0201] Cooling water pressure range: 1.5bar~4bar

[0202] System Y:

[0203] Pipe surface temperature range: 20℃~40℃

[0204] Cooling water temperature range: 15℃~25℃

[0205] Cooling water pressure range: 2bar~5bar

[0206] Experimental steps:

[0207] Step 1: Preparation

[0208] a. Ensure that the pipelines, cooling water system and molten steel continuous casting system of system X and system Y have been properly set up and connected;

[0209] b. Calibrate sensors to ensure the accuracy of data collection;

[0210] Step 2: Set parameter range

[0211] a. Set the following parameter ranges in System X and System Y:

[0212] Pipe surface temperature range (℃): 25℃~45℃ / 20℃~40℃

[0213] Cooling water temperature range (℃): 10℃~20℃ / 15℃~25℃

[0214] Cooling water pressure range (bar): 1.5bar~4bar / 2bar~5bar

[0215] b. Ensure that the parameter settings are reasonable and within the normal working range of the equipment;

[0216] Step 3: Run the experiment

[0217] a. Start the continuous casting process of molten steel and detect various parameters of system X and system Y at the same time;

[0218] b.Record data in real time;

[0219] Step 4: Data Analysis

[0220] a. Compare the performance of system X and system Y in terms of various parameters and analyze their impact on system stability;

[0221] b. Check the correlation between data;

[0222] Step 5: Conclusion and Recommendations

[0223] a. Draw conclusions based on the data analysis results, evaluate the stability differences between System X and System Y, and make improvement recommendations to optimize the stability and performance of the system.

[0224] parameter System X System Y Pipe surface temperature (℃) 35 30 Cooling water temperature (℃) 15 20 Cooling water pressure (bar) 43.5 4.0 System pressure(bar) 2.0 2.5 Cooling water flow rate (L / min) 15 18 Molten steel flow rate (t / min) 5 7 Cooling water level (%) 70 75 Molten steel level (%) 80 85

[0225] Comparative experiment 1: Advanced intelligent control system and basic control system

[0226] Summary: The advanced intelligent control system performs better in temperature, flow rate and pressure control, improving the recovery efficiency; although the basic control system is stable, it is slightly inferior in parameter control accuracy and efficiency;

[0227] Comparative experiment 2: Energy recovery equipment A and equipment B

[0228] Summary: The settings of device B in terms of operating temperature, flow rate and pressure range are suitable for improving recovery efficiency and raising the efficiency level; the performance of device A is stable, but the recovery efficiency is reduced;

[0229] Comparative Experiment 3: System X and System Y

[0230] Summary: System Y has better control over pipe surface temperature, cooling water temperature and cooling water pressure, maintaining system stability; System X performs well in some parameters, but its overall stability and performance are slightly inferior;

[0231] Comprehensive analysis: Advanced intelligent control systems perform better in parameter control and recovery efficiency, and are suitable for applications with high-precision control and efficiency; basic control systems have high stability and are suitable for scenarios with lower performance requirements;

[0232] Energy recovery equipment A and equipment B:

[0233] Device B performs better in terms of working parameter range setting and recovery efficiency, and is suitable for improving energy recovery efficiency. Device A performs well in terms of stability, and is suitable for scenarios with higher stability requirements.

[0234] System X and System Y: System Y performs better in maintaining system stability and is suitable for applications that require higher system stability; System X performs well in some parameters but is less stable

[0235] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A secondary cooling chamber water distribution process in the continuous casting process of molten steel, characterized in that: The following steps are involved: Step 1: Connect the second cooling chamber to the cooling water pipeline in the water distribution system, and distribute water to the second cooling chamber; Step 2: Select energy recovery equipment based on potential energy recovery points, install the equipment, and connect the equipment to the water distribution system; Step 3: Adjust the parameters and settings of the energy recovery equipment to effectively recover waste heat or residual heat resources, and use the recovered heat energy to heat the fluid; Step 4: Introduce intelligent control algorithms and sensor technology to automate water distribution; Step 5: Establish a real-time monitoring mechanism to monitor the parameters in the water distribution process in real time; Step 6: Regularly check the status of pipelines and equipment, and perform necessary cleaning and maintenance work; Step 7: Regularly monitor and evaluate the optimization effect and continuously improve the performance of energy recovery equipment; Step 8: Develop an improvement plan and timetable, and clearly define the steps and responsible personnel for improvement; Step 9: Organize training courses regularly to enable operators to master system operation skills; Step 10: Conduct benefit evaluation and cost-benefit analysis regularly, and adjust operation strategies and system configurations based on the results.

2. The secondary cooling chamber water distribution process in the continuous casting process of molten steel according to claim 1, characterized in that: In step 1, the specific steps of the pipeline connection are: The first step is to ensure that the connection between the cooling water pipes in the secondary cooling room and the water distribution system is clean and undamaged; The second step is to determine the connection method between the second cold room and the cooling water pipeline; Step 3: Align the interface of the cooling water pipeline with the corresponding interface of the second cooling chamber; Step 4: Use a wrench and a screwdriver to connect and tighten the cooling water pipe to the second cooling chamber; Step 5: Check whether there is any water leakage at the connection.

3. The secondary cooling chamber water distribution process in the continuous casting process of molten steel according to claim 1, characterized in that: In the step three, the working temperature range of the energy recovery device is 50° C. to 80° C., the flow velocity range of the fluid in the energy recovery device is 1 m / s to 3 m / s, and the working pressure range of the energy recovery device is 2 bar to 5 bar.

4. The secondary cooling chamber water distribution process in the continuous casting process of molten steel according to claim 1, characterized in that: In step 4, the formula of the intelligent control algorithm is: Among them, F 控制 is the control output, e(t) is the difference between the set value and the actual value, K p is the proportional gain, K i is the integral gain, K d is the differential gain; Where y is the output of the neural network, f() is the activation function, and w i is the connection weight, x i is the input and b is the bias term.

5. The secondary cooling chamber water distribution process in the continuous casting process of molten steel according to claim 1, characterized in that: In step 4, the specific implementation of the sensing technology is: Temperature sensor: monitors the temperature of molten steel and cooling water; Flow rate sensor: used to monitor the flow rate of molten steel and cooling water; Pressure sensor: installed in the pipeline to monitor water pressure; Recovery efficiency sensor: used to monitor the recovery efficiency of energy recovery equipment; Intelligent control algorithm: In combination with sensing technology, the system’s intelligent control algorithm can adjust the parameters of the water distribution system in real time based on sensor data.

6. The secondary cooling chamber water distribution process in the continuous casting of molten steel according to claim 1, characterized in that: In step 5, the specific implementation method of establishing the real-time monitoring mechanism is as follows: Sensor network: Install temperature sensors, pressure sensors, and flow sensors to monitor the parameters of molten steel and cooling water; Data acquisition system: Establish a data acquisition system to collect real-time data transmitted by sensors; Monitoring system: Build a monitoring system that displays the values ​​of various parameters in real time and can issue alarms or reminders so that operators can take timely actions; Real-time data analysis: Using real-time data analysis technology, sensor data is processed and analyzed to quickly identify any abnormalities or potential problems; Automatic alarm system: Establish an automatic alarm system. When the parameter value exceeds the set range, the system will automatically issue an alarm and prompt the operator to make adjustments or processing.

7. The secondary cooling chamber water distribution process in the continuous casting of molten steel according to claim 6, characterized in that: In step 5, the real-time data analysis step involves an anomaly detection algorithm and a predictive analysis algorithm. The anomaly detection algorithm is Where X is the value of the data point, μ is the mean, and σ is the standard deviation; the prediction analysis algorithm is Among them, Y t is the actual value, is the predicted value and α is the smoothing coefficient.

8. The secondary cooling chamber water distribution process in the continuous casting of molten steel according to claim 1, characterized in that: In step six, the pipeline surface temperature range is 20°C to 50°C, the cooling water temperature range is 5°C to 25°C, the cooling water pressure range is 1bar to 5bar, and the system pressure range is 0.5bar to 2bar; the cooling water flow range is 5L / min to 20L / min, the molten steel flow range is 2t / min to 10t / min, the cooling water liquid level range is 50% to 80%, and the molten steel liquid level range is 70% to 90%.

9. The secondary cooling chamber water distribution process in the continuous casting of molten steel according to claim 1, characterized in that: In step seven, the temperature range of the second cold chamber is regularly monitored at 800°C to 1000°C, the temperature range of the water distribution system is 20°C to 50°C, the flow range of the cooling water is monitored at 10L / min to 50L / min, and the pressure range of the monitoring pipelines and equipment is 1bar to 5bar.

10. The secondary cooling chamber water distribution process in the continuous casting of molten steel according to claim 1, characterized in that: In the step ten, the energy recovery efficiency is evaluated in the range of 75% to 90%, the production efficiency of continuous casting of molten steel is evaluated in the range of 85% to 95%, and the operating cost benefit is evaluated in the range of saving 10% to 20%.

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