Furnace temperature uniformity detection method for roller hearth type heat treatment furnace

Abstract

The invention provides a method for detecting the furnace temperature uniformity of a roller hearth type heat treatment furnace. The method is applied to a roller hearth type heat treatment furnace system comprising a furnace body, a heating device, a temperature sensor array and a medical service big data management system. The method comprises the steps that a temperature sensor array containing 14 measuring points is arranged at a specific position of a furnace body, and a furnace temperature data recording black box is fixed to the lower right corner of the furnace body; controlling the heating device to heat to a target process temperature of 920 DEG C and keeping the temperature constant for 30 minutes; the temperature data of the whole furnace area is collected every five minutes; and calculating a reference temperature and an absolute deviation value set of each measurement point through a medical service big data system, and evaluating the temperature field uniformity of the furnace body. And when the deviation exceeds a threshold value, the system generates a correction parameter group containing a heating zone power compensation coefficient and a refractory material density gradient value, and executes power redistribution or thermal insulation layer enhancement operation. High-precision detection and dynamic optimization of the temperature field uniformity of the roller hearth type heat treatment furnace can be realized, and the stability of a heat treatment process and the consistency of product quality are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control of heat treatment equipment, and more particularly, to a roller hearth heat treatment furnace temperature uniformity detection method. BACKGROUND

[0002] High-strength wear-resistant steel plate is one of the key materials in the field of engineering machinery and major engineering, and its performance directly affects the service life and reliability of related equipment. As an important equipment for producing high-strength wear-resistant steel plate, the roller hearth heat treatment furnace plays a crucial role in the uniformity of the furnace temperature, which directly affects the microstructure and performance of the material during the heat treatment process. If the furnace temperature is not uniform, it may lead to uneven internal stress and incomplete phase change of the material, thereby affecting the performance and quality of the final product. However, due to the influence of factors such as furnace structure, heating method, and heat treatment process, it is difficult to achieve ideal furnace temperature uniformity in actual production. On the one hand, the heat distribution inside the furnace is affected by factors such as heating device layout, furnace wall insulation performance, and furnace airflow organization; on the other hand, fluctuations in heat treatment process parameters such as heating speed, holding time, and temperature setting also have a significant impact on furnace temperature uniformity. In addition, existing furnace temperature detection methods mostly use single-point or a small number of temperature measurement points, which cannot accurately reflect the overall temperature distribution in the furnace and cannot provide effective data support for furnace temperature uniformity regulation.

[0003] In the implementation of the present application, there are at least the following problems or defects in the prior art: the existing roller hearth heat treatment furnace temperature uniformity detection method cannot comprehensively and accurately reflect the temperature distribution in the furnace, and cannot meet the strict requirements of high-quality heat treatment of high-strength wear-resistant steel plate on furnace temperature uniformity; at the same time, there is a lack of effective furnace temperature uniformity regulation means, which cannot timely optimize and adjust the furnace structure or heating process according to the detection results, thereby affecting the heat treatment quality and production efficiency. SUMMARY

[0004] The present application provides a roller hearth heat treatment furnace temperature uniformity detection method, which is applied to a roller hearth heat treatment furnace system, the roller hearth heat treatment furnace system includes a roller hearth heat treatment furnace body, a heating device, a temperature sensor array, and a health service big data management system, comprising:

[0005] In response to a furnace temperature uniformity detection instruction, a temperature sensor array is arranged at a specific measurement position of the roller hearth heat treatment furnace body, wherein the temperature sensor array includes fourteen preset measurement points;

[0006] A furnace temperature data recording black box is fixedly installed at the lower right corner area of the roller hearth heat treatment furnace body;

[0007] controlling the heating device to raise the internal temperature of the roller hearth heat treatment furnace body to a target process temperature value and maintain the target process temperature value for a preset constant temperature duration;

[0008] collecting full-furnace temperature distribution data at fixed time intervals through the temperature sensor array and the furnace temperature data recording black box;

[0009] calculating a reference temperature value of the full-furnace temperature distribution data through the medical service big data management system, and generating a set of absolute deviation values between each preset measurement point temperature value and the reference temperature value;

[0010] evaluating the uniformity state of the roller hearth heat treatment furnace body temperature field according to the set of absolute deviation values.

[0011] Further, the temperature sensor array arranged at the specific measurement position of the roller hearth heat treatment furnace body comprises:

[0012] eight first-type temperature measurement points are arranged at the middle transverse reference line position of the roller hearth heat treatment furnace body, including four first-type temperature measurement points arranged in the upper zone and four first-type temperature measurement points arranged in the lower zone;

[0013] six second-type temperature measurement points are arranged at the corner area of the roller hearth heat treatment furnace body.

[0014] Further, the eight first-type temperature measurement points arranged at the middle transverse reference line position of the roller hearth heat treatment furnace body specifically comprise:

[0015] three first-type temperature measurement points are arranged at the front zone in the steel plate sample loading direction;

[0016] five first-type temperature measurement points are arranged at the middle zone in the steel plate sample loading direction;

[0017] three first-type temperature measurement points are arranged at the rear zone in the steel plate sample loading direction;

[0018] Among the five first-type temperature measurement points of the middle zone in the steel plate sample loading direction, there are three steel plate core temperature measurement points, one steel plate upper surface temperature measurement point, and one steel plate lower surface temperature measurement point.

[0019] Further, the furnace temperature data recording black box is fixedly installed at the lower right corner area of the roller hearth heat treatment furnace body, comprising:

[0020] The furnace temperature data recording black box is locked to the welded bearing frame by a mechanical fixing device;

[0021] Placing the welded bearing frame at a set distance from the furnace door to the hearth position.

[0022] Further, the target process temperature value is 920 degrees Celsius;

[0023] The preset constant temperature duration is 30 minutes.

[0024] Further, the fixed time interval for collecting full-furnace temperature distribution data includes:

[0025] Every five minutes, collect temperature sensor array measurement data and furnace temperature data record black box record data.

[0026] Further, before the temperature sensor array is arranged at the specific measurement position of the roller hearth heat treatment furnace body in response to the furnace temperature uniformity detection instruction, it further includes:

[0027] According to the current heat treatment process flow requirements and the structure characteristics of the roller hearth heat treatment furnace body, a detection point position topology scheme is generated;

[0028] The detection point position topology scheme includes a three-dimensional coordinate data set of the fourteen preset measurement points.

[0029] Further, the generation of the detection point position topology scheme includes:

[0030] Calculate the simulated temperature field distribution data of different measurement point layout schemes through a numerical heat transfer simulation model;

[0031] Based on the hot spot area identification result of the simulated temperature field distribution data, determine the optimal detection point position topology scheme.

[0032] Further, after the roller hearth heat treatment furnace body temperature field uniformity state is evaluated according to the absolute deviation value set, it further includes:

[0033] When the maximum value in the absolute deviation value set exceeds the preset temperature tolerance threshold, generate a roller hearth heat treatment furnace body structure correction parameter set based on the medical service big data management system;

[0034] Perform a heating unit power redistribution operation or a heat preservation layer structure enhancement operation.

[0035] Further, the generation of the roller hearth heat treatment furnace body structure correction parameter set based on the medical service big data management system includes:

[0036] Construct a temperature deviation-structure parameter mapping relationship model in the medical service big data management system;

[0037] input the absolute deviation value set into the temperature deviation-structure parameter mapping relationship model, and output a roller hearth heat treatment furnace body structure correction parameter group;

[0038] The correction parameter group comprises a heating zone power compensation coefficient vector and a refractory material density gradient value sequence.

[0039] The above embodiments of the present application have at least the following beneficial effects:

[0040] 1. The present application can comprehensively and accurately reflect the temperature distribution in the furnace by arranging a temperature sensor array containing fourteen preset measurement points at a specific measurement position of the roller hearth heat treatment furnace, and cooperating with the furnace temperature data recording black box. This improved furnace temperature detection method overcomes the limitations of the traditional single-point or small number of temperature measurement points detection method, provides effective data support for furnace temperature uniformity regulation, and thus improves the heat treatment quality and production efficiency.

[0041] 2. When the furnace temperature uniformity is detected to be substandard, the present application can generate a roller hearth heat treatment furnace body structure correction parameter group based on the medical service big data management system, and perform a heating unit power redistribution operation or a heat preservation layer structure enhancement operation. This improvement enables the heat treatment furnace to be dynamically adjusted according to real-time detection data during operation, timely optimizes the furnace body structure and heating process, effectively solves the problem of lack of effective furnace temperature uniformity regulation means in the prior art, and further improves the stability and reliability of the heat treatment quality.

[0042] 3. The present application calculates the simulated temperature field distribution data of different measurement point layout schemes through a numerical heat transfer simulation model, and determines the optimal detection point position topology scheme based on the hot spot area identification result. This method can scientifically and reasonably arrange the detection points, ensure the accuracy and representativeness of the detection results, and thus provide strong guarantee for accurate evaluation and regulation of furnace temperature uniformity, effectively solving the problem of incomplete detection and inaccurate regulation caused by unreasonable arrangement of detection points in the prior art. BRIEF DESCRIPTION OF DRAWINGS

[0043] The above and other objects, features and advantages of the exemplary embodiments of the present application will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which:

[0044] Figure 1 A flowchart of a roller hearth heat treatment furnace temperature uniformity detection method provided by an embodiment of the present application is shown in the figure;

[0045] Figure 2 An implementation schematic diagram of a roller hearth heat treatment furnace temperature uniformity detection method provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0046] The principles and spirits of the present application will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only for better understanding the present application and enabling those skilled in the art to better implement the present application, and do not limit the scope of the present application in any way. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art.

[0047] Those skilled in the art will understand that the embodiments of the present application can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present application can be embodied as a whole hardware, a whole software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0048] It should be noted that the number of any elements in the drawings is used for example only and not limitation, and any naming is only for distinction and does not have any limiting meaning.

[0049] The principles and spirits of the present application will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only for better understanding the present application and enabling those skilled in the art to better implement the present application, and do not limit the scope of the present application in any way. On the contrary, these embodiments are provided to make the present application more thorough and complete, and to fully convey the scope of the present application to those skilled in the art. Figure 1 Figure 1 The flowchart of the roller hearth heat treatment furnace temperature uniformity detection method provided by an embodiment of the present application is shown in FIG. 1. As shown in FIG. 1, a roller hearth heat treatment furnace temperature uniformity detection method includes the following steps. Figure 1

[0050] S1, in response to a furnace temperature uniformity detection instruction, arranging a temperature sensor array at a specific measurement position of the roller hearth heat treatment furnace body, wherein the temperature sensor array includes fourteen preset measurement points;

[0051] S2, fixing and installing a furnace temperature data recording black box at the lower right corner area of the roller hearth heat treatment furnace body;

[0052] S3, controlling the heating device to raise the internal temperature of the roller hearth heat treatment furnace body to a target process temperature value, and maintaining the target process temperature value for a preset constant temperature time length;

[0053] S4, collecting full-furnace temperature distribution data at fixed time intervals through the temperature sensor array and the furnace temperature data recording black box;

[0054] S5, calculating a reference temperature value of the full-furnace temperature distribution data through the medical service big data management system, and generating an absolute deviation value set between each preset measurement point temperature value and the reference temperature value;

[0055] S6, evaluating the roller hearth heat treatment furnace body temperature field uniformity state according to the absolute deviation value set.

[0056] ​​It should be noted that the roller bottom type heat treatment furnace temperature uniformity detection method of the present application is a systematic detection process, which aims to evaluate the temperature field uniformity in the heat treatment furnace through accurate temperature measurement and data analysis. Among them, the temperature sensor array refers to a group of temperature measurement devices installed in the furnace body according to a specific layout, used for real-time acquisition of temperature data at different positions. The furnace temperature data recording black box is a device used for recording and storing temperature data, which can operate stably in high temperature environment, ensuring the integrity and accuracy of the data. In addition, the medical service big data management system is a system for processing and analyzing temperature data, which provides support for the optimization of furnace temperature uniformity by calculating and evaluating temperature deviation. The combination of these technical means can effectively solve the problems of incomplete detection and inaccurate regulation of furnace temperature uniformity in the prior art.

[0057] As shown in Figure 2 , specifically, the fourteen preset measurement points in the temperature sensor array are distributed in the middle transverse reference line position and the corner area of the furnace body, specifically including eight first type temperature measurement points and six second type temperature measurement points. Among them, the first type temperature measurement points are further divided into upper and lower zones, respectively used for measuring the temperature at different height positions in the middle of the furnace body; while the second type temperature measurement points are located in the corner area, used for monitoring the temperature distribution of the edge of the furnace body. Different numbers of first type temperature measurement points are set in the front, middle and rear zones of the steel plate sample entering the furnace, and the five measurement points in the middle zone include the temperature measurement points of the core, upper surface and lower surface of the steel plate, used for comprehensive monitoring of the temperature change of the steel plate in the furnace. The layout of these measurement points ensures the comprehensiveness and representativeness of the temperature data, which can accurately reflect the distribution of the temperature field in the furnace. In addition, the target process temperature value refers to the set temperature required in the heat treatment process, for example 920 degrees Celsius, and the preset constant temperature time length refers to the time at this temperature, for example 30 minutes, these parameters are determined according to the heat treatment process requirements, to ensure that the material can complete the heat treatment process under the appropriate temperature and time conditions.

[0058] Preferably, the present application calculates the simulated temperature field distribution data of different measurement point layout schemes through a numerical heat transfer simulation model when generating the detection point position topology scheme. The model is based on the heat conduction equation and the heat convection equation, and the input parameters include the geometric size of the furnace body, the thermal physical properties of the material such as the thermal conductivity, the specific heat capacity, etc., the power distribution of the heating device, and the airflow velocity in the furnace, etc. Through simulation calculation, the hot spot area in the temperature field can be identified, and then the optimal detection point position topology scheme is determined. In terms of data processing, the medical service big data management system will calculate the reference temperature value according to the collected full-furnace temperature distribution data, and generate an absolute deviation value set between each preset measurement point temperature value and the reference temperature value. When the maximum value in the absolute deviation value set exceeds the preset temperature tolerance threshold, the system will generate a furnace body structure correction parameter group based on the temperature deviation-structure parameter mapping relationship model, such as a heating zone power compensation coefficient vector and a refractory material density gradient value sequence, so as to realize the dynamic regulation and control of the furnace temperature uniformity.

[0059] In some embodiments, the temperature sensor array is arranged at the specific measurement position of the roller hearth heat treatment furnace body, including:

[0060] Eight first-type temperature measurement points are arranged at the middle transverse reference line position of the roller hearth heat treatment furnace body, including four first-type temperature measurement points arranged in the upper zone and four first-type temperature measurement points arranged in the lower zone.

[0061] Six second-type temperature measurement points are arranged at the corner area of the roller hearth heat treatment furnace body.

[0062] It should be noted that the temperature sensor array mentioned in the present application is one of the key components for realizing the detection of furnace temperature uniformity. It is arranged at the specific measurement position of the roller hearth heat treatment furnace body, including first-type temperature measurement points and second-type temperature measurement points. The layout of these measurement points is carefully designed according to the structural characteristics of the furnace body and the requirements of the heat treatment process, aiming to comprehensively cover the key areas in the furnace, so as to accurately collect temperature data and provide reliable basis for subsequent evaluation of furnace temperature uniformity. Through this layout, the problems of insufficient temperature measurement points and unreasonable distribution in traditional detection methods can be effectively solved, thereby improving the accuracy and comprehensiveness of detection.

[0063] Specifically, the first type of temperature measurement points refers to the temperature measurement points located at the middle transverse reference line position of the roller hearth heat treatment furnace body. These measurement points are divided into upper and lower zones, which are used to monitor the temperature changes at different height positions in the middle of the furnace body. The four measurement points in the upper zone are mainly used to detect the temperature distribution in the upper region of the furnace, while the four measurement points in the lower zone are used to monitor the temperature distribution in the lower region of the furnace. This upper and lower zoning layout can ensure comprehensive monitoring of the temperature in the middle of the furnace body, providing important data support for evaluating the uniformity of the temperature field in the furnace. The second type of temperature measurement points are set in the corner regions of the furnace body to monitor the temperature at the edge of the furnace body. Since the corner regions are prone to uneven temperature distribution during heat treatment, setting measurement points in these regions can effectively capture abnormal temperature changes and further improve the detection system for uniformity of the furnace temperature. This classification layout not only comprehensively covers the key areas in the furnace, but also allows for targeted monitoring based on the temperature characteristics of different regions, thereby providing strong support for accurate evaluation of the uniformity of the furnace temperature.

[0064] Preferably, in actual application, the layout scheme of the temperature sensor array can be further refined according to the specific structure and process requirements of the heat treatment furnace. For example, numerical simulation methods can be used to analyze the temperature field in the furnace, and the optimal measurement point position and number can be determined based on the simulation results. In terms of data processing, advanced data analysis algorithms can be used to process the collected temperature data, such as calculating the deviation between the temperature values of each measurement point and the reference temperature value to generate a temperature deviation distribution map, thereby intuitively displaying the uniformity of the temperature field in the furnace. In addition, based on the temperature deviation, combined with the structural parameters of the furnace body and the operating state of the heating device, the heating strategy and insulation measures of the furnace body can be further optimized to achieve dynamic regulation and control of the uniformity of the furnace temperature, thereby improving the quality of heat treatment and production efficiency.

[0065] In some embodiments, eight first type of temperature measurement points are arranged at the middle transverse reference line position of the roller hearth heat treatment furnace body, specifically including:

[0066] Three first type of temperature measurement points are arranged in the front zone of the steel plate sample entering the furnace direction;

[0067] Five first type of temperature measurement points are arranged in the middle zone of the steel plate sample entering the furnace direction;

[0068] Three first type of temperature measurement points are arranged in the rear zone of the steel plate sample entering the furnace direction;

[0069] Among the five first type of temperature measurement points in the middle zone of the steel plate sample entering the furnace direction, there are three steel plate core temperature measurement points, one steel plate upper surface temperature measurement point, and one steel plate lower surface temperature measurement point.

[0070] It should be noted that the layout of the temperature sensor array mentioned in this invention at the transverse baseline position in the middle of the roller hearth heat treatment furnace body is a key step in achieving furnace temperature uniformity detection. Specifically, the first type of temperature measurement points refers to temperature measurement points distributed in different areas of the furnace body, used to monitor temperature changes in the front, middle, and rear zones of the steel plate sample entering the furnace. This layout comprehensively covers the key areas in the middle of the furnace body, ensuring that the collected temperature data is representative and comprehensive, thereby providing accurate data support for subsequent furnace temperature uniformity assessment.

[0071] Specifically, the first type of temperature measurement points is divided into upper and lower zones, used to monitor the temperature distribution at different heights in the middle of the furnace body. The four measurement points in the upper zone and the four in the lower zone are respectively arranged in the front, middle, and rear zones along the direction the steel plate sample enters the furnace. The five measurement points in the middle zone include three core temperature measurement points, one upper surface temperature measurement point, and one lower surface temperature measurement point. This zoned layout ensures comprehensive monitoring of the temperature in the middle of the furnace body, and by measuring the temperature at different locations on the steel plate, the temperature uniformity of the steel plate during heat treatment can be more accurately assessed. In addition, the second type of temperature measurement points are set in the corner areas of the furnace body to monitor temperature changes at the furnace edges. These measurement points can capture potential temperature anomalies at the furnace edges, further improving the furnace temperature uniformity detection system.

[0072] Preferably, in practical applications, the temperature field inside the furnace can be analyzed using a numerical heat transfer simulation model, and the optimal location and number of measurement points can be determined based on the simulation results. In terms of data processing, advanced data analysis algorithms can be used to process the collected temperature data. For example, by calculating the deviation between the temperature values ​​at each measurement point and the reference temperature value, a temperature deviation distribution map can be generated, thus visually displaying the uniformity of the temperature field inside the furnace. Furthermore, based on the temperature deviation, combined with the furnace structure parameters and the operating status of the heating device, the furnace heating strategy and insulation measures can be further optimized, thereby achieving dynamic control of furnace temperature uniformity and improving heat treatment quality and production efficiency.

[0073] In some embodiments, fixing the furnace temperature data recording black box to the lower right corner of the roller hearth heat treatment furnace body includes:

[0074] The furnace temperature data recording black box is locked to a welded load-bearing frame using a mechanical fixing device;

[0075] The welded support frame is placed at a set distance from the furnace door on the furnace bed.

[0076] It should be noted that the furnace temperature data recording black box mentioned in this invention is fixedly installed in the lower right corner of the roller hearth heat treatment furnace body to ensure the stability and safety of the furnace temperature data recording device. This furnace temperature data recording black box is a device used to record and store furnace temperature data, capable of stable operation in high-temperature environments, ensuring data integrity and accuracy. The installation location in the lower right corner is chosen to avoid direct heat radiation from the high-temperature area to the equipment, while also facilitating data acquisition and maintenance.

[0077] Specifically, the furnace temperature data recording black box is mechanically mounted on a welded support frame. This mounting method ensures the stability of the equipment during furnace operation, preventing displacement or damage due to furnace vibration or thermal expansion. Furthermore, the welded support frame is a support structure manufactured using welding processes, used to support the weight of the black box and secure it to a designated position within the furnace body. The installation location is chosen at a predetermined distance from the furnace door on the furnace bed to ensure the black box is located within a representative area of ​​the furnace's temperature distribution, while also facilitating quick access for operators when needed.

[0078] Preferably, when installing the furnace temperature data recording black box, the distribution of the temperature field inside the furnace needs to be considered. The temperature field inside the furnace can be simulated and analyzed using a numerical heat transfer simulation model to determine the optimal installation location. In actual operation, the installation position of the black box also needs to be calibrated and corrected to ensure its measurement accuracy. Furthermore, to further optimize the installation effect of the black box, the design of the supporting frame can be adjusted based on the structural characteristics of the furnace body and the requirements of the heat treatment process. For example, adding insulation material or adjusting the shape and size of the frame can improve the service life of the equipment and the accuracy of data acquisition.

[0079] In some embodiments, the target process temperature is 920 degrees Celsius;

[0080] The preset constant temperature duration is 30 minutes.

[0081] It should be noted that the target process temperature mentioned in this invention is 920 degrees Celsius, and the preset holding time is 30 minutes. These parameters are set according to the heat treatment process requirements of high-strength wear-resistant steel plates. During the heat treatment process, raising the internal temperature of the roller hearth heat treatment furnace to 920 degrees Celsius and maintaining it for 30 minutes ensures that the steel plate can complete the low-temperature tempering process under suitable temperature and time conditions, thereby achieving the ideal microstructure and properties. This temperature and time setting is based on the heat treatment characteristics of the material and the actual needs of the production process, effectively guaranteeing the quality of heat treatment.

[0082] Specifically, the target process temperature refers to the set temperature to be reached during the heat treatment process. For the heat treatment of high-strength wear-resistant steel plates, 920 degrees Celsius is a key process parameter, ensuring that the material undergoes appropriate phase transformation and microstructure transformation during heat treatment, thereby obtaining the required mechanical properties. The preset isothermal duration refers to the length of time that the target temperature is maintained after it is reached. A isothermal duration of 30 minutes ensures that the steel plate reaches the target temperature uniformly throughout the furnace and has sufficient time to complete the heat treatment process. These two parameters are set based on the material's heat treatment process curve and production experience, and are important conditions for ensuring the quality of heat treatment.

[0083] Preferably, in actual operation, the temperature distribution inside the furnace can be monitored in real time using a temperature sensor array to ensure that the furnace temperature reaches 920 degrees Celsius uniformly. Simultaneously, the temperature data is analyzed in real time using a medical big data management system. If a temperature deviation exceeds a preset threshold, the power of the heating device or the structure of the insulation layer can be adjusted promptly to ensure the uniformity and stability of the furnace temperature. Furthermore, the temperature field inside the furnace can be simulated and analyzed using a numerical heat transfer simulation model to optimize the layout and power distribution of the heating device, further improving the temperature uniformity and heat treatment efficiency of the heat treatment furnace.

[0084] In some embodiments, the step of collecting temperature distribution data across the entire furnace at fixed time intervals includes:

[0085] The temperature sensor array and furnace temperature data are collected and recorded in the black box every five minutes.

[0086] It should be noted that the five-minute data collection from the temperature sensor array and the furnace temperature data recording black box mentioned in this invention is to ensure timely and accurate acquisition of the furnace temperature distribution. This data collection frequency reflects the furnace temperature change trend over a short period, providing sufficiently detailed data support for subsequent furnace temperature uniformity assessment. Simultaneously, the coordinated operation of the temperature sensor array and the furnace temperature data recording black box comprehensively covers the furnace temperature monitoring needs, ensuring data integrity and reliability.

[0087] Specifically, the temperature sensor array refers to multiple temperature sensors distributed inside the furnace body, used to monitor temperature changes at different locations in real time. These sensors are installed according to a preset layout at the central horizontal baseline and corner areas of the furnace body, comprehensively covering key areas within the furnace. The furnace temperature data recording black box is a device used to record and store temperature data. It can record and collect temperature data at a high frequency, such as every 10 seconds, and store it in its internal memory. Collecting data every five minutes ensures data timeliness without placing an excessive burden on the device's storage and processing capabilities.

[0088] Preferably, in actual operation, timed triggering of data acquisition can be achieved by setting up an automated control system. This system can automatically activate the data acquisition function of the temperature sensor array and the furnace temperature data recording black box according to a preset time interval, such as five minutes. The acquired data can be transmitted wirelessly or via wired connection to the medical support big data management system for further analysis and processing. Furthermore, to improve the accuracy and reliability of the data, data verification and error correction mechanisms can be added during the data acquisition process to ensure that the acquired data accurately reflects the temperature conditions inside the furnace.

[0089] In some embodiments, prior to deploying a temperature sensor array at a specific measurement location on the roll hearth heat treatment furnace body in response to a furnace temperature uniformity detection command, the method further includes:

[0090] Based on the current heat treatment process requirements and the structural characteristics of the roller hearth heat treatment furnace, a topology scheme for the detection point locations is generated.

[0091] The detection point location topology scheme includes a three-dimensional coordinate data set of the fourteen preset measurement points.

[0092] It should be noted that before implementing the furnace temperature uniformity detection method, this invention generates a topology scheme for the detection point locations based on the current heat treatment process requirements and the structural characteristics of the roller hearth heat treatment furnace. This scheme determines the specific locations of each preset measurement point in the temperature sensor array by comprehensively considering factors such as the furnace geometry, heating zone distribution, heat flow direction, and the position of the steel plate sample within the furnace. The purpose is to ensure that the measurement points fully cover the key areas within the furnace, thereby accurately reflecting the temperature distribution within the furnace and providing reliable data support for subsequent furnace temperature uniformity assessment.

[0093] Specifically, the detection point topology scheme refers to a detailed layout plan for measurement points, including a set of three-dimensional coordinate data for fourteen preset measurement points. These measurement points are distributed along the central transverse baseline and in the corner areas of the furnace body, and are divided into two categories: Category I temperature measurement points and Category II temperature measurement points. Category I temperature measurement points include eight points in the upper and lower zones, used to monitor the temperature at different heights in the central part of the furnace body; while Category II temperature measurement points are located in the corner areas to monitor the temperature at the edges of the furnace body. The three-dimensional coordinate data sets of these measurement points are calculated based on the structural characteristics of the furnace body and the requirements of the heat treatment process, ensuring that the layout of the measurement points is reasonable and representative.

[0094] Preferably, the process of generating the topology scheme for the detection point locations can be accomplished using a numerical heat transfer simulation model. First, a temperature field simulation model of the furnace is constructed based on the furnace's geometric model and heat treatment process parameters. Then, by simulating the temperature field distribution under different measurement point layout schemes, hot spots and areas with uneven temperature distribution are identified. Based on these simulation results, the optimal topology scheme for the detection point locations is determined. In actual operation, parameters such as the furnace's geometric dimensions, the thermophysical properties of the materials (e.g., thermal conductivity, specific heat capacity), the power distribution of the heating device, and the airflow velocity within the furnace can be input into the simulation model to calculate the temperature distribution at different measurement points. Finally, based on the uniformity index of the temperature distribution, such as the root mean square value of the temperature deviation, the advantages and disadvantages of different layout schemes are evaluated, thereby selecting the optimal topology scheme for the detection point locations.

[0095] In some embodiments, the generation of the detection point location topology scheme includes:

[0096] The simulated temperature field distribution data of different measurement point layout schemes were calculated using a numerical heat transfer simulation model.

[0097] Based on the hotspot region identification results of the simulated temperature field distribution data, the optimal detection point location topology scheme is determined.

[0098] It should be noted that the topology scheme for generating detection point locations mentioned in this invention is implemented through a numerical heat transfer simulation model. The core of this method lies in utilizing computer simulation technology to calculate the temperature field distribution under different measurement point layout schemes based on the furnace's structural characteristics and heat treatment process requirements. By identifying hotspot regions in the simulated temperature field, the optimal detection point location topology scheme can be determined, thereby ensuring that the temperature sensor layout can comprehensively cover key areas within the furnace, providing accurate data support for furnace temperature uniformity assessment. This method not only improves detection efficiency but also effectively reduces trial-and-error costs in actual testing.

[0099] Specifically, the numerical heat transfer simulation model is a computer simulation tool based on the principles of heat transfer, used to predict and analyze the temperature distribution within a furnace. This model calculates the temperature field distribution under different measurement point layout schemes by solving the heat conduction and convection equations, combined with parameters such as the furnace's geometry, the thermophysical properties of the materials (e.g., thermal conductivity, specific heat capacity), the power distribution of the heating device, and the airflow velocity within the furnace. In the model, hot spots refer to areas with uneven temperature distribution or abnormally high temperatures; these areas are typically the focus of furnace temperature uniformity detection. By identifying these hot spots, the optimal installation location for temperature sensors can be determined, ensuring that the detection points cover the critical areas of temperature variation within the furnace.

[0100] Preferably, when constructing a numerical heat transfer simulation model, a three-dimensional geometric model of the furnace body needs to be established first, based on the actual structure and process parameters of the roller hearth heat treatment furnace. Then, the material properties of the furnace body (such as thermal conductivity and specific heat capacity) and parameters such as the power distribution of the heating device are input into the model. Next, by setting boundary conditions (such as airflow velocity inside the furnace and heat loss from the furnace wall), the temperature field distribution of the furnace body during the heat treatment process is simulated. During the simulation, the layout of the measurement points can be adjusted to observe the changes in temperature field distribution under different schemes. By analyzing the uniformity indicators of the temperature field, such as the root mean square value of the temperature deviation, the optimal topology scheme for the detection point locations is determined. Furthermore, to further improve the accuracy of the model, it can be calibrated and verified using actual temperature sensor data to ensure that the model can truly reflect the temperature distribution inside the furnace.

[0101] In some embodiments, after evaluating the uniformity of the temperature field of the roller hearth heat treatment furnace based on the set of absolute deviation values, the method further includes:

[0102] When the maximum value in the set of absolute deviation values ​​exceeds the preset temperature tolerance threshold, a set of correction parameters for the structure of the roller hearth heat treatment furnace is generated based on the Weiqin Big Data Management System.

[0103] Perform heating unit power redistribution operation or insulation layer structure reinforcement operation.

[0104] It should be noted that in this invention, when the temperature uniformity of the roller hearth heat treatment furnace is assessed to be inconsistent with the preset standard (i.e., the maximum value in the absolute deviation value set exceeds the preset temperature tolerance threshold), the Weiqin Big Data Management System will generate a set of furnace body structure correction parameters and perform corresponding optimization operations. The Weiqin Big Data Management System is an integrated data analysis and processing system used to analyze the collected furnace temperature data and generate correction parameter sets based on the analysis results. This system can dynamically adjust the power distribution of the heating unit or enhance the insulation layer structure according to the temperature deviation, thereby optimizing the furnace temperature uniformity.

[0105] Specifically, the medical big data management system analyzes temperature data collected by the temperature sensor array and the furnace temperature data recording black box to calculate the set of absolute deviations between the temperature values ​​at each preset measurement point and the reference temperature value. When the maximum value in the absolute deviation set exceeds the preset temperature tolerance threshold, the system triggers a correction mechanism. At this time, the furnace structure correction parameter set includes parameters such as the heating zone power compensation coefficient vector and the refractory material density gradient value sequence. The heating zone power compensation coefficient vector is used to adjust the power distribution of the heating unit to optimize the temperature distribution inside the furnace; the refractory material density gradient value sequence is used to guide the reinforcement of the insulation layer structure to reduce heat loss and temperature fluctuations. The generation of these parameters is based on a temperature deviation-structural parameter mapping relationship model built internally by the system. This model is established through a large amount of experimental data and simulation analysis and can output corresponding correction parameters according to the input temperature deviation.

[0106] Preferably, when constructing the temperature deviation-structural parameter mapping model, it is first necessary to collect furnace temperature data and corresponding furnace structural parameters under different operating conditions. This data can be obtained through monitoring equipment in actual production or simulated using a numerical heat transfer simulation model. Then, data mining and machine learning algorithms are used to analyze and process this data to establish the mapping relationship between temperature deviation and structural parameters. In practical applications, when a temperature deviation exceeds a threshold, the set of absolute deviation values ​​is input into the model, and the model outputs a corresponding set of correction parameters based on the preset mapping relationship. For example, if the temperature deviation in a certain area is large, the model may output a higher heating zone power compensation coefficient to increase the heating power in that area; simultaneously, it may also output a larger refractory material density gradient value to enhance the thermal insulation performance of that area. In this way, dynamic control of furnace temperature uniformity can be achieved, improving heat treatment quality and production efficiency.

[0107] In some embodiments, generating a set of correction parameters for the furnace body structure of the roller hearth heat treatment furnace based on the medical support big data management system includes:

[0108] A temperature deviation-structural parameter mapping model was constructed in the medical support big data management system.

[0109] Input the set of absolute deviation values ​​into the temperature deviation-structural parameter mapping model to output the set of correction parameters for the furnace body structure of the roller hearth heat treatment furnace.

[0110] The set of correction parameters includes: a power compensation coefficient vector for the heating zone and a sequence of density gradient values ​​for refractory materials.

[0111] It should be noted that in this invention, the process of generating the furnace body structure correction parameter set based on the medical big data management system is achieved by constructing a temperature deviation-structural parameter mapping relationship model. This model can output corresponding furnace body structure correction parameters based on the input temperature deviation data, thereby guiding the optimization and adjustment of the heat treatment furnace. The core of this method lies in using a data-driven approach to quantify and map the complex relationship between temperature deviation and furnace body structural parameters, so as to quickly and accurately propose solutions when furnace temperature uniformity problems are detected.

[0112] Specifically, the temperature deviation-structural parameter mapping model is a model built based on data mining and machine learning algorithms. It establishes the correlation between temperature deviation and structural parameters by analyzing a large amount of furnace temperature data and corresponding furnace structural parameters. In this model, temperature deviation refers to the difference between the temperature value at each preset measurement point and the reference temperature value, while structural parameters include the heating zone power compensation coefficient vector and the refractory material density gradient value sequence. The heating zone power compensation coefficient vector is used to adjust the power distribution of the heating device to optimize the temperature distribution inside the furnace; the refractory material density gradient value sequence is used to guide the reinforcement of the insulation layer structure to reduce heat loss and temperature fluctuations. These parameters are generated based on the model's internal algorithm, obtained through learning and analysis of historical data.

[0113] Preferably, the process of constructing a temperature deviation-structural parameter mapping model can be divided into the following steps: First, collect furnace temperature data and corresponding furnace structural parameters under different operating conditions. This data can be obtained through monitoring equipment in actual production or simulated through a numerical heat transfer simulation model. Then, use data mining techniques to preprocess this data, extracting useful features and patterns. Next, select appropriate machine learning algorithms, such as support vector machines or neural networks, to train the data and construct the model. During model training, the input parameters include temperature deviation data and corresponding structural parameter data. The model learns the relationships between these data to establish a mapping relationship. Finally, evaluate the accuracy and reliability of the model using validation data to ensure that the model can truly reflect the temperature distribution within the furnace and the relationship between structural parameters. In practical applications, when a temperature deviation exceeds a threshold, the set of absolute deviation values ​​is input into the model. The model will output a corresponding set of correction parameters based on the preset mapping relationship, thereby achieving dynamic control of furnace temperature uniformity.

[0114] The above embodiments of the present invention have the following beneficial effects:

[0115] 1. This invention, by deploying a temperature sensor array containing fourteen preset measurement points at specific measurement locations within a roller hearth heat treatment furnace, and in conjunction with a furnace temperature data recording black box, can comprehensively and accurately reflect the temperature distribution within the furnace. This improved furnace temperature detection method overcomes the limitations of traditional single-point or limited-point temperature detection methods, providing effective data support for furnace temperature uniformity control, thereby improving heat treatment quality and production efficiency.

[0116] 2. When the furnace temperature uniformity is detected to be substandard, this invention can generate a set of furnace body structure correction parameters based on the medical big data management system, and perform heating unit power redistribution or insulation layer structure enhancement operations. This improvement enables the heat treatment furnace to dynamically adjust according to real-time detection data during operation, optimize the furnace body structure and heating process in a timely manner, effectively solve the problem of lacking effective furnace temperature uniformity control methods in the prior art, and further improve the stability and reliability of heat treatment quality.

[0117] 3. This invention calculates simulated temperature field distribution data for different measurement point layout schemes using a numerical heat transfer simulation model, and determines the optimal detection point location topology based on the hotspot region identification results. This method can scientifically and rationally arrange the detection points, ensuring the accuracy and representativeness of the detection results, thus providing strong support for the accurate assessment and control of furnace temperature uniformity, and effectively solving the problems of incomplete detection and inaccurate control caused by unreasonable detection point layout in existing technologies.

[0118] Furthermore, the storage medium in the embodiments of this application stores program instructions capable of implementing all the above methods. These program instructions can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.

[0119] The above description is merely a selection of preferred embodiments of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention as described in the embodiments is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. A method for detecting the temperature uniformity of a roller hearth heat treatment furnace, applied to a roller hearth heat treatment furnace system, wherein the roller hearth heat treatment furnace system includes a roller hearth heat treatment furnace body, a heating device, a temperature sensor array, and a medical big data management system, characterized in that, include: In response to a furnace temperature uniformity detection command, a temperature sensor array is deployed at a specific measurement location on the roller hearth heat treatment furnace body, wherein the temperature sensor array includes fourteen preset measurement points. The furnace temperature data recording black box is fixedly installed in the lower right corner area of ​​the roller hearth heat treatment furnace body; The heating device is controlled to raise the internal temperature of the roller hearth heat treatment furnace to the target process temperature value and maintain the target process temperature value for a preset constant temperature time. The temperature sensor array and the furnace temperature data recording black box are used to collect temperature distribution data of the entire furnace area at fixed time intervals. The reference temperature value of the temperature distribution data of the entire furnace area is calculated by the medical support big data management system, and a set of absolute deviation values ​​between the temperature values ​​of each preset measurement point and the reference temperature value is generated. The uniformity of the temperature field in the roller hearth heat treatment furnace is evaluated based on the set of absolute deviation values.

2. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 1, characterized in that, The arrangement of a temperature sensor array at specific measurement locations within the roller hearth heat treatment furnace body includes: Eight first-class temperature measurement points are set at the transverse baseline position in the middle of the roller hearth heat treatment furnace body. The eight first-class temperature measurement points include four first-class temperature measurement points arranged in the upper area and four first-class temperature measurement points arranged in the lower area. Six second-class temperature measurement points are set in the corner area of ​​the roller hearth heat treatment furnace body.

3. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 2, characterized in that, The method of setting eight first-type temperature measurement points at the transverse baseline position in the middle of the roller hearth heat treatment furnace body specifically includes: Three Class I temperature measurement points were set in the front area of ​​the steel plate sample in the direction of entering the furnace; Five Class I temperature measurement points are set in the middle zone of the steel plate sample in the direction of entering the furnace; Three first-class temperature measurement points are set in the rear area of ​​the steel plate sample in the direction of entering the furnace; Among them, the five first-class temperature measurement points in the middle zone of the steel plate sample entering the furnace include: three core temperature measurement points of the steel plate, one upper surface temperature measurement point of the steel plate, and one lower surface temperature measurement point of the steel plate.

4. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 1, characterized in that, The method of fixing the furnace temperature data recording black box to the lower right corner of the roller hearth heat treatment furnace body includes: The furnace temperature data recording black box is locked to a welded load-bearing frame using a mechanical fixing device; The welded support frame is placed at a set distance from the furnace door on the furnace bed.

5. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 1, characterized in that, The target process temperature is 920 degrees Celsius; The preset constant temperature duration is 30 minutes.

6. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 1, characterized in that, The collection of temperature distribution data across the entire furnace at fixed time intervals includes: The temperature sensor array and furnace temperature data are collected and recorded in the black box every five minutes.

7. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 1, characterized in that, Before the step of deploying a temperature sensor array at a specific measurement location on the roller hearth heat treatment furnace body in response to a furnace temperature uniformity detection command, the method further includes: Based on the current heat treatment process requirements and the structural characteristics of the roller hearth heat treatment furnace, a topology scheme for the detection point locations is generated. The detection point location topology scheme includes a three-dimensional coordinate data set of the fourteen preset measurement points.

8. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 7, characterized in that, The topology scheme for generating detection point locations includes: The simulated temperature field distribution data of different measurement point layout schemes were calculated using a numerical heat transfer simulation model. Based on the hotspot region identification results of the simulated temperature field distribution data, the optimal detection point location topology scheme is determined.

9. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 1, characterized in that, After evaluating the uniformity of the temperature field of the roller hearth heat treatment furnace based on the set of absolute deviation values, the method further includes: When the maximum value in the set of absolute deviation values ​​exceeds the preset temperature tolerance threshold, a set of correction parameters for the structure of the roller hearth heat treatment furnace is generated based on the Weiqin Big Data Management System. Perform heating unit power redistribution operation or insulation layer structure reinforcement operation.

10. The method for detecting the temperature uniformity of a roller hearth heat treatment furnace according to claim 9, characterized in that, The parameter set for correcting the structure of the roller hearth heat treatment furnace generated based on the medical support big data management system includes: A temperature deviation-structural parameter mapping model was constructed in the medical support big data management system. Input the set of absolute deviation values ​​into the temperature deviation-structural parameter mapping model to output the set of correction parameters for the furnace body structure of the roller hearth heat treatment furnace. The set of correction parameters includes: a power compensation coefficient vector for the heating zone and a sequence of density gradient values ​​for refractory materials.

Images