Method and system applied to temperature regulation and control of rotary hearth furnace

Abstract

The invention relates to a method and a system applied to furnace temperature regulation and control of a rotary hearth furnace, belongs to the field of metallurgical industry, and aims to solve the problems of inaccurate traditional furnace temperature detection, slow regulation and control response, large furnace temperature fluctuation and the like. The method comprises the following steps: setting initial assignment values of air and gas flow, including an empty furnace operation gas amount, a gas heat value, a real-time charging material amount, a unit charging material fuel consumption index and the like, and calculating a gas amount required during strip material production and a gas supply amount of each subarea; on-line temperature detection and partition dynamic adjustment are carried out, real-time temperature distribution of the furnace hearth is obtained through an infrared thermal imaging detection device, the deviation ratio is calculated, coarse adjustment and fine adjustment are carried out according to the deviation ratio, and finally rapid response and dynamic adjustment of the furnace temperature are achieved. According to the method, the mode of combining off-line training, on-line detection, edge rapid calculation and partition dynamic adjustment is adopted, rapid response regulation and control of the temperature of the rotary hearth furnace in one work period are achieved, monitoring and early warning of furnace body health are achieved, and efficient, stable and smooth production of the rotary hearth furnace is assisted.

Description

Technical Field

[0001] The present invention belongs to the field of metallurgical industry and relates to a method and system for regulating the furnace temperature of a rotary hearth furnace. Background Art

[0002] As a key equipment for treating iron and zinc-containing dust and sludge in the iron and steel industry, the rotary hearth furnace can produce metallized pellets and secondary zinc oxide powder through high-temperature reduction reactions, which has both resource recovery and environmental protection benefits and has been widely used in China in recent years. However, with the expansion of production scale, significant technical bottlenecks have gradually emerged in the actual operation of traditional technologies.

[0003] The furnace temperature detection of existing rotary hearth furnaces mostly relies on thermocouples installed on the side walls or tops of the furnace chamber. However, the interference of dust and smoke in the furnace and the heat transfer lag make it difficult for them to accurately reflect the true temperature of the furnace bed. In addition, the heat supply sources of rotary hearth furnaces are complex, including both internal chemical reactions of raw materials and gas combustion. The raw material composition fluctuates frequently, and the upstream inspection and analysis data have discreteness and lag. Limited by the above factors, the traditional single PID control mode is difficult to respond to dynamic working conditions in a timely manner, and manual intervention often relies on manual experience in actual production. This extensive control leads to repeated fluctuations of the furnace temperature within the range of ±3%, and it cannot converge quickly within a working cycle, which not only affects production stability but also easily causes local overheating of the furnace body and damages the equipment life.

[0004] At the same time, the existing technology lacks overall monitoring of the furnace temperature distribution and lacks a real-time identification and early warning mechanism for abnormal areas (such as overheating areas and underheating areas). In addition, the dynamic matching of gas and air supply relies on fixed parameters and is not optimized and adjusted in combination with real-time working condition data, which further exacerbates the contradiction between energy efficiency and control accuracy.

[0005] In view of the above problems, there is an urgent need for a furnace temperature control method and system that can integrate multi-source data, achieve rapid response and intelligent optimization, so as to improve the operation efficiency, stability and equipment health management level of the rotary hearth furnace. Summary of the Invention

[0006] In view of this, the purpose of the present invention is to provide a method and system for regulating the furnace temperature of a rotary hearth furnace.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] A method for regulating the furnace temperature of a rotary hearth furnace, comprising the following steps:

[0009] S1: Calculate the gas supply volume and air supply volume of each zone during production with materials according to the empty furnace gas consumption, gas calorific value, real-time furnace charging material volume and unit material fuel consumption index of the rotary hearth furnace;

[0010] S2: Detect the temperature distribution of the hearth in real time through an infrared thermal imaging device, calculate the deviation rate between the actual temperature average value and the preset temperature, and perform dynamic adjustment in zones according to the deviation rate, including rough adjustment and fine adjustment;

[0011] S3: Use the edge computing node to perform real-time calculations on the gas composition, temperature distribution, and data of the materials charged into the furnace, synchronously update the neural network model parameters through the L2 system, and send the corrected parameters to the L1 system;

[0012] S4: Screen the standard working condition samples based on the historical data of the L2 system, iteratively train the neural network model to generate recommended values, and display the temperature distribution and warning information in real time through a visualization dashboard.

[0013] Furthermore, in the above S2, the rough adjustment is as follows: when the absolute value of the deviation rate exceeds 3%, directly adjust the opening degree of the gas regulating valve in the corresponding zone, and the adjustment range is 2% - 10% of the preset value, and synchronously adjust the air volume; if the deviation continues to exceed the limit, adjust the gas supply ratio of the zone in preset steps, and the maximum adjustment amount does not exceed 0.05.

[0014] Furthermore, in the above S2, the fine adjustment is as follows: when the absolute value of the deviation rate is between 1% - 3%, if the deviation is negative, increase the opening degree of the gas valve through the PID control loop; if the deviation is positive, first reduce the air excess coefficient to the lower limit value, otherwise reduce the opening degree of the gas valve through the PID control loop.

[0015] Furthermore, in the above S3, the edge computing node calculates the standard deviation of the temperature distribution in real time, identifies the overburned zone and the underburned zone, and triggers a visualization warning when there are continuous anomalies at the same position; the L2 system simulates the temperature field distribution through a heat transfer model and synchronously displays it with the digital twin model.

[0016] A system applied to the furnace temperature control of a rotary hearth furnace, including:

[0017] The rotary hearth furnace body;

[0018] The material detection device for the materials charged into the furnace, which is used to detect the amount and carbon content rate of the materials charged into the furnace in real time;

[0019] The infrared thermal imaging temperature measurement device, which is used to obtain the temperature distribution of the hearth;

[0020] The gas and air flow regulating valve group, which is respectively arranged in each zone and connected to the basic automation system of the L1 system;

[0021] The L2 process automation system, including a data storage module, a neural network training module, a temperature field simulation module, and a template management module;

[0022] The edge computing node, which is deployed between the L1 system and the L2 system and is used to calculate the air-coal ratio, temperature deviation, and standard deviation in real time;

[0023] A visualization dashboard for displaying temperature distribution, warning information, and digital twin models.

[0024] Furthermore, the input parameters of the neural network training module of the L2 system include furnace temperature, gas calorific value, material quantity, and carbon content rate, and it outputs corrected fuel consumption index, sectional gas ratio, and air excess coefficient, and generates a standard operating condition template.

[0025] Furthermore, the visualization dashboard integrates a digital twin model, maps the in-furnace temperature distribution in real time, and pushes operation suggestions for historical similar operating conditions based on the template matching degree.

[0026] Furthermore, the gas and air flow regulating valve group dynamically adjusts the opening degree according to the instructions of the L1 system, and the air volume automatically matches with the air-to-coal ratio and excess coefficient.

[0027] Furthermore, the infrared thermal imaging temperature measurement device is configured with a spare thermocouple, which switches to the thermocouple data and triggers a maintenance alarm when the infrared temperature measurement fails.

[0028] Furthermore, the L2 system is built-in with a heat transfer calculation model to simulate and predict the overburning area and underburning area, and flashes and displays the abnormal area through the visualization dashboard.

[0029] The beneficial effects of the present invention are as follows: The present invention provides a method and system for regulating the furnace temperature of a rotary hearth furnace. By using the present invention, rapid response regulation of the furnace temperature of the rotary hearth furnace can be achieved within one working cycle, which helps the efficient, stable, and smooth operation of the rotary hearth furnace production.

[0030] Other advantages, objectives, and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be described in detail preferably with reference to the accompanying drawings, where:

[0032] Figure 1 is the furnace temperature regulation flow chart of the present invention;

[0033] Figure 2 is the system composition diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] The following describes the implementation manners of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the drawings provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0035] Among them, the drawings are only for illustrative purposes, showing only schematic diagrams rather than physical diagrams, and should not be construed as limiting the present invention; in order to better illustrate the embodiments of the present invention, some components in the drawings will be omitted, enlarged or reduced, which do not represent the dimensions of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0036] In the drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", "front", "rear", etc. indicating the orientation or positional relationship, they are based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0037] Please refer to Figure 1 and Figure 2 , which are a method and a system for regulating the temperature of a rotary hearth furnace. According to the principle of "relatively accurate temperature range and rapid response to flow regulation", combined with theoretical calculations and statistical analysis data, with the gas flow rate as the core regulation factor, through the combination of offline training + online detection and edge rapid calculation + partition dynamic regulation, the goal of rapid temperature control and the monitoring and early warning of the furnace body health are achieved.

[0038] The system includes: 1) a rotary hearth furnace body; 2) a feeding conveying device and a material quantity detection device for the furnace; 3) a coal flowmeter and a regulating valve group for each partition of the rotary hearth furnace; 4) an air flowmeter and a regulating valve group for each partition of the rotary hearth furnace; 5) an infrared thermal imaging temperature measuring device; 6) an L1 system basic automation system; 7) an L2 process automation system (including function modules such as data storage, data preprocessing, data statistics, neural network training, temperature field distribution simulation, template management, operation suggestions, and report management); 8) a visualization dashboard.

[0039] The implementation process of the method is as follows:

[0040] S1: Set the initial assignment of the empty gas flow as follows:

[0041] S11: Under normal working temperature conditions, the gas consumption during the empty furnace operation is recorded as V0, with the unit of m 3 / h;

[0042] S12: The calorific value of the gas is recorded as q, with the unit of GJ / m 3 ;

[0043] S13: Under normal working temperature conditions, the real-time amount of material charged into the furnace is recorded as m, with the unit of t / h;

[0044] S14: The fuel consumption index e per unit of material charged into the furnace, with the unit of GJ / t;

[0045] S15: The gas amount required during the production with materials is recorded as V F (with the unit of m 3 / h), then there is:

[0046] V F = e × m ÷ q + V0

[0047] Among them, the gas consumption V0 during the empty furnace operation is corrected through theoretical calculation and the measured value during the idling; the amount of material charged into the furnace m, the calorific value of the gas q, and the gas flow V are obtained in real time through on-line detection instruments; the gas consumption index e per unit of material charged into the furnace is assigned through the combination of theoretical heat balance calculation and statistical prediction, and the value range is generally between 0 and 2.0.

[0048] S16: The gas supply ratio of each zone is recorded as θ i (i = 1, 2,..., n), 0 < θ i < 1, and the sum of the gas supply ratios of each zone satisfies θ i Generally selected through theoretical calculation and experience during the design stage, and only fine-tuned during production. Then the gas supply amount V Fi Then there is: V Fi = V F × θ i .

[0049] S17: The theoretical air amount L required for the combustion of unit gas (i.e., "air-gas ratio") is calculated in real time according to the gas composition obtained by the on-line gas calorimeter. The air excess coefficient α is determined according to theoretical calculation and experience, and the value range is generally between 1.0 and 1.5. The air amount required for each zone during the production with materials is recorded as V Ai (with the unit of m 3 / h), V Ai = V Fi × L × α i .

[0050] S2: Online temperature detection and zonal dynamic regulation, specifically as follows:

[0051] S21: Preset the temperature value T required for the furnace bed operation, 设 then use an infrared thermal imaging detection device to obtain the real-time temperature distribution of the furnace bed along the radial direction in real time, and calculate its average value, denoted as T 实 , and calculate the deviation rate δ = (T 实 - T 设 ) ÷ T 设 × 100%. At the same time, a spare thermocouple is set above the furnace wall near the furnace bed. When the infrared temperature measurement fails, it automatically switches to the detection value of the spare thermocouple, triggers an alarm and prompts the maintenance personnel to check and handle it to improve the system reliability.

[0052] S22: Coarse adjustment: When the absolute value of the error δ exceeds 3%, directly adjust the opening of the gas regulating valve corresponding to this zone. The adjustment range is ±k, and the k value is preset as needed, and the value range is generally between 2% and 10%. The air volume is automatically adjusted according to the air-to-coal ratio and the excess coefficient. When the absolute value of the error of the furnace temperature continuously exceeds 3% within one working cycle, the gas supply ratio corresponding to the zone is adjusted step by step at a step size of 0.01, and the maximum does not exceed 0.05.

[0053] S23: Fine adjustment: When the absolute value of the error δ does not exceed 3% but is greater than 1%, adjust according to the following steps:

[0054] (1) If δ < 0, increase the opening of the gas regulating valve through the PID control loop, and the air volume is automatically adjusted accordingly;

[0055] (2) If δ > 0, judge whether the air excess coefficient α is equal to its allowable lower limit value α min . If α > α min , then decrease α step by step at a certain step size; if α = α min , then decrease the opening of the gas regulating valve through the PID control loop, and the air volume is automatically adjusted according to the preset air-to-coal ratio and excess coefficient.

[0056] S24: When the absolute value of the error δ does not exceed 1%, it is considered that the temperature control requirement has been met, and the system automatically records the corresponding operating condition parameters.

[0057] S3: Synchronously deploy edge computing nodes to improve the system response speed and the collaborative ability with the L2 offline model, mainly completing the following calculations:

[0058] S31: Quickly calculate the theoretical air-to-coal ratio L from the gas components obtained by the gas online calorimeter described in S1.

[0059] S32: Perform online mean calculation, rapid determination of error δ, and task distribution on the real-time temperature obtained by the infrared imaging temperature measurement in S32; meanwhile, calculate the standard deviation σ of the temperature distribution, identify the abnormal areas of the radial furnace temperature distribution, and set T 均 +2σ as the overburning area, and T 均 -2σ as the underburning area. If an abnormality occurs at the same position within 1 working cycle, it will be pushed to the large screen of the visualization dashboard for early warning, and a flashing display will be performed at the corresponding position in the digital twin model.

[0060] S33: Embed the fitting relationship formula of the gas consumption index e of the charged material obtained by processing through the L2 system with the material quantity and carbon content rate, and quickly calculate and correct the gas consumption index e of the charged material according to the carbon content rate data and real-time material quantity data obtained by inspection and analysis within 24 hours.

[0061] S34: The L2 system regularly predicts the gas consumption index e of the charged material, the gas supply ratio θ of each zone i and the excess coefficient α i through the deployed neural network model. The input parameters include furnace temperature, gas calorific value, material quantity, and its carbon content rate. The corrected parameters are reissued to the L1 system; at the same time, update the fitting relationship formula of the gas consumption index e of the charged material with the material quantity and carbon content rate and send it to the edge calculator for update.

[0062] S35: After the L2 system receives the data from the infrared thermal imaging detection, it simulates and calculates the temperature field distribution in the furnace through the built-in furnace body heat transfer calculation model, and synchronously transmits it to the visualization large screen for monitoring and early warning when the overburning area or underburning area exceeds the preset temperature.

[0063] S36: The PID control function is realized through the L1 system basic automation system, and the data collected by the L1 system automation system is uploaded to the L2 process automation system for unified storage, processing, and modeling calculation.

[0064] S37: Through the historical data of the L2 system, regularly screen out the full-condition data corresponding to the deviation between the measured temperature and the theoretical temperature value not exceeding ±1%, including temperature, gas volume, air volume, gas calorific value, excess coefficient, material quantity, and its carbon content rate, etc., and re-enter them into the built-in neural network model for iterative training and prediction, regenerate the recommended value, and synchronously generate the standard condition template as the input issued for the next production.

[0065] S38: Establish a rotary hearth furnace digital twin model in the visualization dashboard, display the furnace body temperature distribution and predicted value in real time, and push the operation suggestions under the historical similar working conditions according to the template matching degree; at the same time, provide the interaction interface of each functional module of the L2 system for convenient daily maintenance operations.

[0066] Examples of implementation steps are as follows:

[0067] 1. Initial assign values to each parameter based on the boundary conditions of theoretical calculation;

[0068] 1.1 When reaching the set temperature value T 设 the gas consumption V0 during no-load operation is approximately 2000, unit m 3 / h;

[0069] 1.2 The calorific value q of the gas detected by the on-line gas calorimeter is approximately 1.67×10 -2 , unit GJ / m 3 ;

[0070] 1.3 The on-line detected value of the material quantity entering the furnace is denoted as m, unit t / h;

[0071] 1.4 Based on theoretical calculation and historical data analysis, initially assign the fuel consumption index e per unit of material entering the furnace the value of 1.2, unit GJ / t;

[0072] 1.5 The gas quantity required during production with materials is denoted as V F (unit m 3 / h), then there is:

[0073] V F = 1.2×m÷0.0167 + 2000 ≈ 60×m + 2000, unit m 3 / h;

[0074] 1.6 The gas supply ratios of the four zones are successively denoted as 0.05, 0.30, 0.35, 0.30, then the corresponding gas supply quantities for each zone are successively: V F1 = V F ×0.05, V F2 = V F ×0.03, V F3 = V F ×0.35, V F4 = V F ×0.30, unit m 3 / h; When the absolute value of the error of the furnace temperature continuously exceeds 3% within one working cycle, the gas supply ratio corresponding to the zone is adjusted step by step at a step size of 0.01, with a maximum not exceeding 0.05.

[0075] 1.7 The real-time calculated value of the theoretical air quantity L required for the combustion of unit gas (i.e., "air-gas ratio") is 4. The air excess coefficient α is taken as 1.25, 1.15, 1.10, 1.05 for each zone respectively based on theoretical calculation and production experience. Then the required air quantities for each zone are successively:

[0076] V A1 = V F1×0.05×4×1.25 = V F1 ×0.25, unit m 3 / h;

[0077] V A2 = V F2 ×0.30×4×1.15 = V F2 ×1.38, unit m 3 / h;

[0078] V A3 = V F3 ×0.35×4×1.10 = V F3 ×1.54, unit m 3 / h,

[0079] V A4 = V F4 ×0.30×4×1.05 = V F4 ×1.26, unit m 3 / h.

[0080] 2. Perform zonal dynamic adjustment by judging temperature difference:

[0081] 2.1 Obtain the real-time temperature distribution value of the furnace bed along the radial direction in real time through the infrared thermal imaging detection device, and then calculate its average value T 实 , and compare the error with the preset temperature value T 设 , and calculate the deviation rate δ = (T 实 - T 设 ) ÷ T 设 ×100%.

[0082] 2.2 Coarse adjustment: When |δ| > 3%, the opening of the gas valve is increased or decreased by 5% accordingly, and the air volume is automatically adjusted according to the air-coal ratio and excess coefficient below.

[0083] 2.3 Fine adjustment: When 1% < |δ| ≤ 3%, adjust according to the following steps:

[0084] (1) If δ < 0, increase the opening of the gas regulating valve through the PID control loop, and the air volume is automatically adjusted accordingly;

[0085] (2) If δ > 0, judge whether the air excess coefficient α is equal to its allowable lower limit value αmin, αmin is preset to 1.05, if α > αmin, then decrease α in sequence by a step size of 0.05; if α = αmin, then decrease the opening of the gas regulating valve through the PID control loop, and the air volume is automatically adjusted accordingly.

[0086] 2.4 When |δ| ≤ 1%, it is considered that the temperature control requirement has been met, and the system automatically records the corresponding operating condition parameters.

[0087] 3. Retrieve the recorded data under different load and furnace temperature conditions, eliminate the null values and outliers, and then screen out the full-condition data corresponding to the case where the deviation between the measured temperature and the theoretical temperature value does not exceed ±1%, including temperature, gas volume, air volume, gas calorific value, excess coefficient, material quantity and its carbon content, etc. Re-enter them into the built-in neural network model for iterative training and prediction, regenerate the recommended values, and synchronously generate a standard-condition template as the input to be issued during the next production.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the present technical solution, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for controlling the temperature of a rotary hearth furnace, characterized in that: The following steps are involved: S1: Calculate the gas supply and air supply of each zone during the production with material according to the empty furnace gas consumption, gas calorific value, real-time furnace material quantity and unit material fuel consumption index of the rotary hearth furnace; S2: Use infrared thermal imaging devices to detect the temperature distribution of the furnace bed in real time, calculate the deviation rate between the actual temperature mean and the preset temperature, and perform dynamic adjustment of the partitions according to the deviation rate, including rough adjustment and fine adjustment; S3: Use edge computing nodes to calculate gas composition, temperature distribution, and furnace material data in real time, update neural network model parameters through the L2 system simultaneously, and send the corrected parameters to the L1 system; S4: Based on the historical data of the L2 system, standard operating condition samples are selected, the neural network model is iteratively trained to generate recommended values, and the temperature distribution and warning information are displayed in real time through a visual dashboard.

2. The method for temperature control of a rotary hearth furnace according to claim 1, characterized in that: In S2, the coarse adjustment is: when the absolute value of the deviation rate exceeds 3%, directly adjust the opening of the gas regulating valve of the corresponding zone, the adjustment range is 2% to 10% of the preset value, and the air volume is adjusted synchronously; if the deviation continues to exceed the limit, adjust the zone gas supply ratio according to the preset step size, and the maximum adjustment amount does not exceed 0.

05.

3. The method for controlling the temperature of a rotary hearth furnace according to claim 1, characterized in that: In S2, the fine adjustment is: when the absolute value of the deviation rate is between 1% and 3%, if the deviation is negative, the gas valve opening is increased through the PID control loop; if the deviation is positive, the air excess coefficient is preferentially reduced to the lower limit, otherwise the gas valve opening is reduced through the PID control loop.

4. The method for controlling the temperature of a rotary hearth furnace according to claim 1, characterized in that: In S3, the edge computing node calculates the standard deviation of the temperature distribution in real time, identifies overburned and underburned areas, and triggers a visual warning when continuous abnormalities occur at the same location; the L2 system simulates the temperature field distribution through a heat transfer model and displays it synchronously with the digital twin model.

5. A system for controlling the temperature of a rotary hearth furnace, characterized in that: include: Rotary hearth furnace body; Furnace material detection device, used to detect the amount and carbon content of the furnace materials in real time; Infrared thermal imaging temperature measuring device, used to obtain the temperature distribution of the furnace bed; Gas and air flow control valve groups are located in each zone and connected to the L1 system basic automation system; L2 process automation system, including data storage module, neural network training module, temperature field simulation module and template management module; Edge computing nodes, deployed between the L1 system and the L2 system, are used to calculate the air-to-coal ratio, temperature deviation, and standard deviation in real time; Visual dashboard for displaying temperature distribution, warning information and digital twin models.

6. The system for temperature control of a rotary hearth furnace according to claim 5, characterized in that: The neural network training module of the L2 system inputs parameters including furnace temperature, gas calorific value, material quantity and carbon content, outputs a corrected fuel consumption index, zoned gas ratio and excess air coefficient, and generates a standard operating condition template.

7. The system for temperature control of a rotary hearth furnace according to claim 5, characterized in that: The visual dashboard integrates a digital twin model to map the temperature distribution in the furnace in real time, and pushes operation suggestions for historically similar working conditions based on template matching.

8. The system for temperature control of a rotary hearth furnace according to claim 5, characterized in that: The gas and air flow regulating valve group dynamically adjusts the opening according to the instruction of the L1 system, and the air volume automatically matches the air-to-coal ratio and the excess coefficient.

9. The system for temperature control of a rotary hearth furnace according to claim 5, characterized in that: The infrared thermal imaging temperature measurement device is equipped with a spare thermocouple, which switches to thermocouple data and triggers a maintenance alarm when the infrared temperature measurement fails.

10. The system for temperature control of a rotary hearth furnace according to claim 5, characterized in that: The L2 system has a built-in heat transfer calculation model to simulate and predict over-burned and under-burned areas, and displays abnormal areas through a flashing visual dashboard.

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