A method for early warning of temperature and rupture strength for a heat treatment furnace

Abstract

The application provides a temperature and fracture strength early warning method for a heat treatment furnace, and belongs to the technical field of heat treatment furnace early warning, and comprises the following steps: obtaining a stage information set of each heat treatment stage; simulating and constructing a deployment detection structure of the heat treatment furnace in different heat treatment stages, and setting a trigger condition for a related detection device in the deployment detection structure in a corresponding adjacent heat treatment stage; monitoring an internal temperature value of the heat treatment furnace in real time, combining a working time of the heat treatment furnace, preliminarily determining a current working stage of the heat treatment furnace, controlling all detection devices consistent with the current working stage to perform temperature detection work, performing mapping analysis, and based on a mapping analysis result, performing temperature and fracture strength early warning of the heat treatment furnace. The accuracy of temperature and fracture strength acquisition is ensured, the fracture possibility is reduced, timely adjustment is facilitated through early warning, and the reliability of handicraft production is further improved.

Description

Technical Field

[0001] This invention relates to the field of early warning technology for heat treatment furnaces, and in particular to an early warning method for temperature and fracture strength in heat treatment furnaces. Background Technology

[0002] Heat treatment is a thermal processing technology that uses heating and cooling to change the microstructure, properties, and internal stress state of materials. It is a key link in the machinery manufacturing industry to improve the performance, service life, and reliability of products, and the heat treatment furnace is a crucial component of it.

[0003] In the current process of heat treatment furnace operation, the common practice is to conduct fracture detection on the finished products to determine their fracture status. Heat treatment furnaces generally carry out heat treatment according to a set method, but there is a lack of specific detection for different heat treatment stages. Due to uncontrollable factors in the heat treatment process, the possibility of fracture at the end increases.

[0004] Therefore, this invention proposes an early warning method based on the temperature and fracture temperature of a heat treatment furnace. Summary of the Invention

[0005] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace. By deploying structures and setting transition conditions for different heat treatment stages, it facilitates accurate and reasonable detection of the heat treatment process, ensures the accuracy of temperature and fracture strength acquisition, reduces the possibility of fracture, and allows for timely adjustments through early warning, further improving the reliability of craft production.

[0006] This invention provides a method for early warning of temperature and fracture strength in a heat treatment furnace, comprising:

[0007] Step 1: Obtain the setting requirements of the heat treatment furnace, and obtain the heat treatment stage table of the heat treatment furnace and the stage information set of each heat treatment stage in the heat treatment stage table;

[0008] Step 2: Based on the stage information set, simulate and construct the deployment detection structure of the heat treatment furnace in different heat treatment stages. At the same time, obtain the transition conditions between every two adjacent heat treatment stages, and set trigger conditions for the relevant detection devices in the deployment detection structure of the corresponding adjacent heat treatment stages based on the transition conditions.

[0009] Step 3: Monitor the internal temperature of the heat treatment furnace in real time and combine it with the working time of the heat treatment furnace to preliminarily determine the current working stage of the heat treatment furnace, and control all detection devices consistent with the current working stage to perform temperature detection. When the historical fracture probability of the current working stage is less than the preset fracture probability, perform mapping analysis between the temperature detection results and the fracture strength set of the current working stage.

[0010] Step 4: When the historical fracture probability of the current working stage is not less than the preset fracture probability, extract analysis is performed on the heat-treated workpiece at different times in the current working stage to determine the cross-sectional uniformity, cross-sectional notch, crack distribution and carbon content of the heat-treated workpiece, and obtain the actual fracture strength at the corresponding time.

[0011] Step 5: Perform mapping analysis on the obtained actual fracture strength, fracture strength set, and temperature detection results;

[0012] Step 6: Based on the mapping analysis results, issue early warnings regarding the temperature and fracture strength of the heat treatment furnace.

[0013] Preferably, the setting requirements of the heat treatment furnace are obtained, resulting in a heat treatment stage table for the heat treatment furnace and a stage information set for each heat treatment stage in the heat treatment stage table, including:

[0014] Based on the demand analysis model, the set demand is analyzed to obtain the stage description, stage weight and stage order of the heat treatment stage based on the heat treatment furnace, and a heat treatment stage table is constructed.

[0015] The heat treatment stage table is compared with the heat treatment furnace database to obtain a stage information set for each heat treatment stage, wherein the stage information set includes the heat treatment temperature and corresponding fracture strength at different heat treatment times.

[0016] Preferably, based on the stage information set, a deployment and detection structure for the heat treatment furnace at different heat treatment stages is simulated and constructed, including:

[0017] The thermal process space of the heat treatment furnace under the corresponding heat treatment stage is constructed based on the simulation platform, and the intensity is simulated based on the heat treatment temperature in the stage information set to draw the first hyperbola. The fracture strength is simulated based on the stage information set to draw the second hyperbola.

[0018] Lock the inconsistent arrays in the first hyperbola and the second hyperbola;

[0019] If the number of the inconsistent arrays is 0, the first deployment number is calculated according to the following formula, and the thermal process space is spatially uniformly deployed according to the first deployment number to obtain the deployment detection structure;

[0020]

[0021] Where N1 represents the first deployment quantity of the corresponding heat treatment stage; C1 represents the spatial perimeter of the thermal process space under the corresponding heat treatment stage; S1 represents the spatial area of ​​the thermal process space under the corresponding heat treatment stage; T1 represents the total number of heat treatment times in the thermal process space under the corresponding heat treatment stage; Δ1 represents the variable set per unit perimeter; Δ2 represents the variable set per unit area; Tz represents the total number of times based on the stage information set; T max This represents the maximum total time across all heat treatment stages involved in the heat treatment furnace; e represents a constant with a value of 2.7; ln represents the logarithmic function sign; J1 represents the stage weight of the corresponding heat treatment stage; Ceiling represents the rounding up sign;

[0022] If the number of the inconsistent arrays is not 0, the second deployment number is calculated according to the following formula;

[0023]

[0024]

[0025] Where n is the number of occurrences of the inconsistency array at the corresponding heat treatment stage, and W1 n D1 is the temperature fitting difference based on the occurrence time of the corresponding heat treatment stage. n δ1 is the fracture fitting difference based on the occurrence time of the corresponding heat treatment stage; δ2 is the normalization coefficient based on temperature; N2 is the normalization coefficient based on fracture strength; N2 is the second deployment quantity.

[0026] Accuracy is improved by calculating the temperature fitting difference and the fracture fitting difference.

[0027]

[0028] J2 represents improved accuracy; Y y To be related to max(δ1W1) n ,δ2D1 n The corresponding preset threshold;

[0029] The deployment plan based on the second deployment quantity is retrieved from the accuracy-quantity-deployment database to obtain the deployment detection structure.

[0030] Preferably, the transition conditions between every two adjacent heat treatment stages are obtained, and trigger conditions are set for the relevant detection devices in the deployment detection structure in the corresponding adjacent heat treatment stages based on the transition conditions, including:

[0031] Obtain the first heat treatment parameters of the first stage within the last time period t1 and the second heat treatment parameters of the second stage within the initial time period t2 in every two adjacent heat treatment stages;

[0032] Construct processing curves with the same parameters, and determine the abrupt change points in the processing curves;

[0033] When a mutation point exists, the mutation point is expanded to the left and to the right to obtain a transition segment;

[0034]

[0035] Among them, K z k01 represents the number of points to the left of the mutation point; k02 represents the number of points in the corresponding treatment curve that match the segment of t1; k1 represents the number of points in the corresponding treatment curve that match the segment of t2; [] represents the number of points before the mutation point tb of the treatment curve; [] represents the rounding symbol.

[0036]

[0037] Among them, K y To expand the number of elements to the right based on the mutation point;

[0038] When there is no mutation point, no transition conditions are set for the parameter detection position that is consistent with the corresponding parameter;

[0039] When a mutation point exists, a trigger condition matching the transition condition is set at the parameter detection position that corresponds to the parameter.

[0040] Preferably, the current operating stage of the heat treatment furnace is initially determined, including:

[0041] Establish the correspondence between internal temperature values ​​and working time, and obtain the N0 sets of correspondences;

[0042] Match each set of correspondences with the relationship-stage table to determine the working stage of each set of correspondences;

[0043] Count the maximum number of the same work stage across all work stages, and consider it as the current work stage.

[0044] Preferably, the cross-sectional uniformity, cross-sectional notch, crack distribution, and carbon content of the heat-treated product are determined to obtain the actual fracture strength at the corresponding time, including:

[0045]

[0046] G0 = {G1(yu),G2(qu),G3(lu),G4(yu,qu,lu)}

[0047] Where Dg represents the actual fracture strength at the corresponding time; E represents the bonding force at the corresponding time; d represents the elastic modulus based on carbon content at the corresponding time; G0 represents the fracture set; G1(yu) represents the fracture factor based on the cross-sectional uniformity yu; G2(qu) represents the fracture factor based on the cross-sectional notch qu; G3(lu) represents the fracture factor based on the crack distribution lu; G4(yu,qu,lu) represents the fracture factor based on yu,qu,lu; σ1 2 G1(yu), G2(qu), G3(lu), and G4(yu,qu,lu) represent the break variance of the four break factors.

[0048] Preferably, the obtained actual fracture strength is mapped and analyzed with the fracture strength set and temperature detection results, including:

[0049] According to the time sequence, the actual fracture strength at the same heat treatment time, the first fracture strength at the corresponding heat treatment time extracted from the fracture strength set, and the temperature detection results at the heat treatment time are combined.

[0050] The actual fracture strength is compared with the first fracture strength.

[0051] A second comparison is made between the temperature detection result corresponding to the actual fracture strength and the temperature detection result corresponding to the first fracture strength.

[0052] The first comparison result and the second comparison result are the mapping analysis results.

[0053] Preferably, based on the mapping analysis results, the heat treatment furnace is given an early warning regarding temperature and fracture strength, including:

[0054] Obtain the first comparison result and the second comparison result at the same heat treatment time to obtain the comparison quantity;

[0055] The warning intensity is obtained by extracting the maximum comparison value of all comparison values ​​and obtaining the average comparison value of all comparison values.

[0056] The corresponding warning will be issued according to the warning intensity.

[0057] Compared with the prior art, the beneficial effects of this application are as follows:

[0058] By structurally deploying and setting transition conditions for different heat treatment stages, it is convenient to achieve accurate and reasonable detection of the heat treatment process, ensure the accuracy of temperature and fracture strength acquisition, reduce the possibility of fracture, and facilitate timely adjustments through early warning, thereby further improving the reliability of craft production.

[0059] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0060] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0061] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0062] In the attached diagram:

[0063] Figure 1 This is a flowchart of an early warning method for temperature and fracture strength in a heat treatment furnace according to an embodiment of the present invention. Detailed Implementation

[0064] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0065] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace, such as... Figure 1 As shown, it includes:

[0066] Step 1: Obtain the setting requirements of the heat treatment furnace, and obtain the heat treatment stage table of the heat treatment furnace and the stage information set of each heat treatment stage in the heat treatment stage table;

[0067] Step 2: Based on the stage information set, simulate and construct the deployment detection structure of the heat treatment furnace in different heat treatment stages. At the same time, obtain the transition conditions between every two adjacent heat treatment stages, and set trigger conditions for the relevant detection devices in the deployment detection structure of the corresponding adjacent heat treatment stages based on the transition conditions.

[0068] Step 3: Monitor the internal temperature of the heat treatment furnace in real time and combine it with the working time of the heat treatment furnace to preliminarily determine the current working stage of the heat treatment furnace, and control all detection devices consistent with the current working stage to perform temperature detection. When the historical fracture probability of the current working stage is less than the preset fracture probability, perform mapping analysis between the temperature detection results and the fracture strength set of the current working stage.

[0069] Step 4: When the historical fracture probability of the current working stage is not less than the preset fracture probability, extract analysis is performed on the heat-treated workpiece at different times in the current working stage to determine the cross-sectional uniformity, cross-sectional notch, crack distribution and carbon content of the heat-treated workpiece, and obtain the actual fracture strength at the corresponding time.

[0070] Step 5: Perform mapping analysis on the obtained actual fracture strength, fracture strength set, and temperature detection results;

[0071] Step 6: Based on the mapping analysis results, issue early warnings regarding the temperature and fracture strength of the heat treatment furnace.

[0072] In this embodiment, all detection devices refer to the devices involved in the corresponding stage, and each device is controlled in advance based on a pre-set trigger condition to achieve the purpose of stabilizing the detection temperature.

[0073] In this embodiment, the current working stage is obtained by comparing the internal temperature value, working time and the corresponding table. Temperature detection refers to the detection by adjusting the accuracy according to the corresponding precision.

[0074] In this embodiment, the preset fracture probability is set to 0.8.

[0075] In this embodiment, mapping analysis refers to the mapping between temperature and fracture strength at the same heat treatment time. It is mainly to determine the comparison between the actual temperature and the standard fracture strength at the same treatment time, and to determine the warning intensity. The larger the difference, the stronger the corresponding warning. In the comparison process, there will be standard fracture strength, standard temperature, and standard time at the corresponding time.

[0076] In this embodiment, the set requirement refers to the finished product of the heat treatment furnace, such as the steelmaking process. For example, if the carbon content of the finished steelmaking product is a%, then it is necessary to obtain a heat treatment process that meets the requirement. That is, the process includes several heat treatment stages, such as: pre-cooling quenching stage, double liquid quenching stage, graded quenching stage, isothermal quenching stage, and different combinations of stages to obtain a table.

[0077] In this embodiment, the stage information set includes stage descriptions, stage weights, preset temperatures, and preset fracture strengths for different heat treatment stages.

[0078] In this embodiment, the simulation construction is based on simulations of both temperature and fracture strength. The purpose of the two-way simulation is to ensure the reliability of the structure construction.

[0079] In this embodiment, the number of deployed detection structures and devices is related to the size of the heat treatment space in the corresponding heat treatment stage. Since the processing content is different in different heat treatment stages, the final size of the heat treatment space may also be different. Therefore, the deployed detection structures may also be different. However, it should be noted that the deployed devices are temperature detection devices. For example, devices 1, 2, and 3 are needed in stage 1, and devices 4, 5, 6, and 7 are needed in stage 2.

[0080] In this embodiment, the transition condition refers to the device execution status of the new device involved in the current stage to the next stage, or the execution status of the same device involved in the current stage and the next stage. Because, during the structural setup process, the device setup results involved in the space under different stages may have devices in the same position running through multiple stages, which requires transition control for the same device. For example, the working condition of device 1 at the end of stage 01 is a detection accuracy of 0.1, and the working condition at the beginning of stage 02 is a detection accuracy of 0.01. At this time, it transitions from 0.1 to 0.01, allowing for a transitional change stage, thereby achieving stable detection in the next stage.

[0081] In this embodiment, the triggering condition is, for example, setting a precision change condition for the device at time t01, and realizing precision conversion and stability detection from time t01 to time t02.

[0082] In this embodiment, the internal temperature refers to a temperature value in the center of the heat treatment furnace, and the working time is the time period from the start of the heat treatment furnace to the present moment.

[0083] The beneficial effects of the above technical solution are: by deploying the structure and setting the transition conditions for different heat treatment stages, it is convenient to achieve accurate and reasonable detection of the heat treatment process, ensure the accuracy of temperature and fracture strength acquisition, reduce the possibility of fracture, and facilitate timely adjustment through early warning, thereby further improving the reliability of craft production.

[0084] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace, which obtains the furnace's set requirements, generates a heat treatment stage table for the furnace, and a stage information set for each heat treatment stage in the table, including:

[0085] The set requirements are analyzed based on the requirements analysis model to obtain the stage description, stage weight and stage order of the heat treatment stage based on the heat treatment furnace, and a heat treatment stage table is constructed.

[0086] The heat treatment stage table is compared with the heat treatment furnace database to obtain a stage information set for each heat treatment stage, wherein the stage information set includes the heat treatment temperature and corresponding fracture strength at different heat treatment times.

[0087] In this embodiment, the demand analysis model is pre-trained and trained using expert evaluation results (stage description, weight, and order) of different demands as samples. Therefore, the stage description, stage weight, and stage order of the heat treatment stage can be directly obtained.

[0088] In this embodiment, the heat treatment database includes the temperature and fracture strength at different stages. Therefore, by matching the database, a set of stage information can be obtained.

[0089] The beneficial effects of the above technical solution are: by analyzing the requirements and constructing a stage table, and by comparing it with the heat treatment furnace database, standard information parameters can be easily obtained, providing a basis for subsequent mapping and comparative analysis.

[0090] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace. Based on the stage information set, it simulates and constructs a deployment detection structure for the heat treatment furnace at different heat treatment stages, including:

[0091] The thermal process space of the heat treatment furnace under the corresponding heat treatment stage is constructed based on the simulation platform, and the intensity is simulated based on the heat treatment temperature in the stage information set to draw the first hyperbola. The fracture strength is simulated based on the stage information set to draw the second hyperbola.

[0092] Lock the inconsistent arrays in the first hyperbola and the second hyperbola;

[0093] If the number of the inconsistent arrays is 0, the first deployment number is calculated according to the following formula, and the thermal process space is spatially uniformly deployed according to the first deployment number to obtain the deployment detection structure;

[0094]

[0095] Where N1 represents the first deployment quantity of the corresponding heat treatment stage; C1 represents the spatial perimeter of the thermal process space under the corresponding heat treatment stage; S1 represents the spatial area of ​​the thermal process space under the corresponding heat treatment stage; T1 represents the total number of heat treatment times in the thermal process space under the corresponding heat treatment stage; Δ1 represents the variable set per unit perimeter; Δ2 represents the variable set per unit area; Tz represents the total number of times based on the stage information set; T maxThis represents the maximum total time across all heat treatment stages involved in the heat treatment furnace; e represents a constant with a value of 2.7; ln represents the logarithmic function sign; J1 represents the stage weight of the corresponding heat treatment stage; Ceiling represents the rounding up sign;

[0096] If the number of the inconsistent arrays is not 0, the second deployment number is calculated according to the following formula;

[0097]

[0098]

[0099] Where n is the number of occurrences of the inconsistency array at the corresponding heat treatment stage, and W1 n D1 is the temperature fitting difference based on the occurrence time of the corresponding heat treatment stage. n δ1 is the fracture fitting difference based on the occurrence time of the corresponding heat treatment stage; δ2 is the normalization coefficient based on temperature; N2 is the normalization coefficient based on fracture strength; N2 is the second deployment quantity.

[0100] Accuracy is improved by calculating the temperature fitting difference and the fracture fitting difference.

[0101]

[0102] J2 represents improved accuracy; Y y To be related to max(δ1W1) n ,δ2D1 n The corresponding preset threshold;

[0103] The deployment plan based on the second deployment quantity is retrieved from the accuracy-quantity-deployment database to obtain the deployment detection structure.

[0104] In this embodiment, strength simulation is based on heat treatment temperature to determine how strength changes with temperature, while temperature simulation is based on fracture strength to determine how temperature changes with strength.

[0105] In this embodiment, the first hyperbola and the second hyperbola include the fracture strength and heat treatment temperature at the same time.

[0106] In this embodiment, the inconsistency array refers to the fact that the temperature or intensity of the first hyperbola and the second hyperbola are different at the same time.

[0107] In this embodiment, the thermal process space refers to the heat treatment space of the corresponding stage.

[0108] In this embodiment, the fracture fitting difference is obtained by fitting the fracture difference values ​​at the same time in the inconsistent array to a straight line. The average value of the vertical coordinate of the fitted line is the fracture fitting difference. The calculation principle of the temperature fitting difference is similar to that of the fracture fitting difference, and will not be repeated here.

[0109] In this embodiment, the preset threshold is pre-set, and δ1W1 n and δ2D1 n All are less than 1.

[0110] In this embodiment, the accuracy-quantity-deployment database includes databases with different accuracy enhancements, deployment quantities, and deployment plans, thereby obtaining a deployment detection structure.

[0111] The beneficial effects of the above technical solution are: by performing strength simulation and temperature model to compare hyperbolic values, it is easier to effectively calculate the deployment quantity, realize the rational deployment of thermal process spatial structure, ensure the reasonable detection of temperature in the subsequent process, indirectly improve the process accuracy of temperature and fracture strength, and reduce the possibility of fracture.

[0112] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace, which acquires the transition conditions between every two adjacent heat treatment stages and sets trigger conditions for relevant detection devices in the deployment detection structure in the corresponding adjacent heat treatment stages based on the transition conditions, including:

[0113] Obtain the first heat treatment parameters of the first stage within the last time period t1 and the second heat treatment parameters of the second stage within the initial time period t2 in every two adjacent heat treatment stages;

[0114] Construct processing curves with the same parameters, and determine the abrupt change points in the processing curves;

[0115] When a mutation point exists, the mutation point is expanded to the left and to the right to obtain a transition segment;

[0116]

[0117] Among them, K z k01 represents the number of points to the left of the mutation point; k02 represents the number of points in the corresponding treatment curve that match the segment of t1; k1 represents the number of points in the corresponding treatment curve that match the segment of t2; [] represents the number of points before the mutation point tb of the treatment curve; [] represents the rounding symbol.

[0118]

[0119] Among them, K y To expand the number of elements to the right based on the mutation point;

[0120] When there is no mutation point, no transition conditions are set for the parameter detection position that is consistent with the corresponding parameter;

[0121] When a mutation point exists, a trigger condition matching the transition condition is set at the parameter detection position that corresponds to the parameter.

[0122] In this embodiment, processing stage 1 includes: parameter 1 and parameter 2;

[0123] Processing phase 2 includes: parameter 3, parameter 1, and parameter 4;

[0124] At this point, the parameters are: parameter 1, parameter 2, parameter 3, and parameter 4.

[0125] In this embodiment, the processing curve is plotted using the values ​​of the same parameter in two stages. For example, if the current time is t0, then the time period t1 before t0 is the end time period, and the time period t2 after t0 is the initial time period. The time when the parameter does not exist is represented by 0.

[0126] In this embodiment, a mutation point refers to a point that suddenly undergoes a numerical change, which can be reflected in the accuracy and value magnitude.

[0127] In this embodiment, the same parameter represents the same detection device, and the parameter detection position is the device position.

[0128] The beneficial effects of the above technical solution are: by obtaining the end time period and the beginning time period of adjacent heat treatment stages, the mutation point can be determined and the left and right sides can be expanded, thus achieving effective configuration of conditions and ensuring the rationality of detection.

[0129] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace, which preliminarily determines the current operating stage of the heat treatment furnace, including:

[0130] Establish the correspondence between internal temperature values ​​and working time, and obtain the N0 sets of correspondences;

[0131] Match each set of correspondences with the relationship-stage table to determine the working stage of each set of correspondences;

[0132] Count the maximum number of the same work stage across all work stages, and consider it as the current work stage.

[0133] In this embodiment, the correspondence is: internal temperature value -- working time, and one correspondence constitutes a group.

[0134] In this embodiment, the relation-stage table includes corresponding relations and the stages that match those relations, thus allowing us to obtain the final stage of each corresponding relation.

[0135] In this embodiment, the work stage with the largest number of extractions is considered the current work stage.

[0136] The beneficial effect of the above technical solution is that by establishing a corresponding relationship and matching it with the table, the matching of the current work stage can be achieved.

[0137] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace, which determines the cross-sectional uniformity, cross-sectional notch, crack distribution, and carbon content of the heat-treated product to obtain the actual fracture strength at the corresponding time, including:

[0138]

[0139] G0 = {G1(yu),G2(qu),G3(lu),G4(yu,qu,lu)}

[0140] Where Dg represents the actual fracture strength at the corresponding time; E represents the bonding force at the corresponding time; d represents the elastic modulus based on carbon content at the corresponding time; G0 represents the fracture set; G1(yu) represents the fracture factor based on the cross-sectional uniformity yu; G2(qu) represents the fracture factor based on the cross-sectional notch qu; G3(lu) represents the fracture factor based on the crack distribution lu; G4(yu,qu,lu) represents the fracture factor based on yu,qu,lu; σ1 2 G1(yu), G2(qu), G3(lu), and G4(yu,qu,lu) represent the break variance of the four break factors.

[0141] The beneficial effect of the above technical solution is that by calculating the actual fracture strength, it provides an analytical basis for subsequent mapping analysis.

[0142] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace, which maps and analyzes the acquired actual fracture strength, fracture strength set, and temperature detection results, including:

[0143] According to the time sequence, the actual fracture strength at the same heat treatment time, the first fracture strength at the corresponding heat treatment time extracted from the fracture strength set, and the temperature detection results at the heat treatment time are combined.

[0144] The actual fracture strength is compared with the first fracture strength.

[0145] A second comparison is made between the temperature detection result corresponding to the actual fracture strength and the temperature detection result corresponding to the first fracture strength.

[0146] The first comparison result and the second comparison result are the mapping analysis results.

[0147] The beneficial effect of the above technical solution is that by comparing the fracture strength and the temperature detection results, it is easier to effectively and initially determine the subsequent warning intensity.

[0148] This invention provides an early warning method for temperature and fracture strength in a heat treatment furnace. Based on mapping analysis results, the method provides early warnings for temperature and fracture strength in the heat treatment furnace, including:

[0149] Obtain the first comparison result and the second comparison result at the same heat treatment time to obtain the comparison quantity;

[0150] The warning intensity is obtained by extracting the maximum comparison value of all comparison values ​​and obtaining the average comparison value of all comparison values.

[0151] The corresponding warning will be issued according to the warning intensity.

[0152] In this embodiment, the comparison quantity is obtained by multiplying the absolute difference of the first comparison result at the same processing time by the weight, plus the product of the absolute difference of the second comparison result at the same processing time by the weight.

[0153] In this embodiment, the warning intensity is obtained based on a quantity-intensity table, which contains different quantities and warning intensities matching the quantities, and the warning is obtained based on an intensity-warning table.

[0154] The beneficial effect of the above technical solution is that the comparison quantity is obtained through two comparison results, and then the warning intensity and the early warning warning are obtained.

[0155] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for early warning of temperature and fracture strength in a heat treatment furnace, characterized in that, include: Step 1: Obtain the setting requirements of the heat treatment furnace, and obtain the heat treatment stage table of the heat treatment furnace and the stage information set of each heat treatment stage in the heat treatment stage table; Step 2: Based on the stage information set, simulate and construct the deployment detection structure of the heat treatment furnace in different heat treatment stages. At the same time, obtain the transition conditions between every two adjacent heat treatment stages, and set trigger conditions for the relevant detection devices in the deployment detection structure of the corresponding adjacent heat treatment stages based on the transition conditions. Step 3: Monitor the internal temperature of the heat treatment furnace in real time and combine it with the working time of the heat treatment furnace to preliminarily determine the current working stage of the heat treatment furnace, and control all detection devices consistent with the current working stage to perform temperature detection. When the historical fracture probability of the current working stage is less than the preset fracture probability, perform mapping analysis between the temperature detection results and the fracture strength set of the current working stage. Step 4: When the historical fracture probability of the current working stage is not less than the preset fracture probability, extract analysis is performed on the heat-treated workpiece at different times in the current working stage to determine the cross-sectional uniformity, cross-sectional notch, crack distribution and carbon content of the heat-treated workpiece, and obtain the actual fracture strength at the corresponding time. Step 5: Perform mapping analysis on the obtained actual fracture strength, fracture strength set, and temperature detection results; Step 6: Based on the mapping analysis results of Step 3 or Step 6, issue early warnings regarding temperature and fracture strength for the heat treatment furnace.

2. The early warning method for temperature and fracture strength of a heat treatment furnace according to claim 1, characterized in that, Obtain the setting requirements of the heat treatment furnace, and obtain the heat treatment stage table of the heat treatment furnace and the stage information set of each heat treatment stage in the heat treatment stage table, including: The set requirements are analyzed based on the requirements analysis model to obtain the stage description, stage weight and stage order of the heat treatment stage based on the heat treatment furnace, and a heat treatment stage table is constructed. The heat treatment stage table is compared with the heat treatment furnace database to obtain a stage information set for each heat treatment stage, wherein the stage information set includes the heat treatment temperature and corresponding fracture strength at different heat treatment times.

3. The early warning method for temperature and fracture strength of a heat treatment furnace according to claim 1, characterized in that, Based on the aforementioned stage information set, a deployment and detection structure for the heat treatment furnace at different heat treatment stages is simulated and constructed, including: The thermal process space of the heat treatment furnace under the corresponding heat treatment stage is constructed based on the simulation platform, and the intensity is simulated based on the heat treatment temperature in the stage information set to draw the first hyperbola. The fracture strength is simulated based on the stage information set to draw the second hyperbola. Lock the inconsistent arrays in the first hyperbola and the second hyperbola; If the number of the inconsistent arrays is 0, the first deployment number is calculated according to the following formula, and the thermal process space is spatially uniformly deployed according to the first deployment number to obtain the deployment detection structure; Where N1 represents the first deployment quantity corresponding to the heat treatment stage; C1 represents the spatial perimeter of the thermal process space under the corresponding heat treatment stage; and S1 represents the spatial area of ​​the thermal process space under the corresponding heat treatment stage. This indicates the total number of heat treatment moments in the thermal process space under the corresponding heat treatment stage. A variable is set to represent the unit perimeter; Indicates the variable to be set per unit area; This represents the total time based on the stage information set; This represents the maximum total time across all heat treatment stages involved in the heat treatment furnace; e represents a constant with a value of 2.7; ln represents the logarithmic function symbol. This indicates the stage weight of the corresponding heat treatment stage; Indicates the rounding up symbol; If the number of the inconsistent arrays is not 0, the second deployment number is calculated according to the following formula; Where n is the number of occurrences of the inconsistency array at the corresponding heat treatment stage. This is based on the temperature fitting difference at the time of occurrence of the corresponding heat treatment stage. The fracture fitting difference is based on the occurrence time of the corresponding heat treatment stage; This is a temperature-based standardized coefficient; N1 is a standardized coefficient based on fracture strength; N2 is the number of second deployments. Accuracy is improved by calculating the temperature fitting difference and the fracture fitting difference. J2 is for improving accuracy; To and The corresponding preset threshold; The deployment plan based on the second deployment quantity is retrieved from the accuracy-quantity-deployment database to obtain the deployment detection structure.

4. The early warning method for temperature and fracture strength of a heat treatment furnace according to claim 1, characterized in that, The transition conditions for every two adjacent heat treatment stages are obtained, and trigger conditions are set for the relevant detection devices in the deployment detection structure in the corresponding adjacent heat treatment stages based on the transition conditions, including: Obtain the first heat treatment parameters of the first stage within the last time period t1 and the second heat treatment parameters of the second stage within the initial time period t2 in every two adjacent heat treatment stages; Construct processing curves with the same parameters, and determine the abrupt change points in the processing curves; When a mutation point exists, the mutation point is expanded to the left and to the right to obtain a transition segment; in, This represents the number of left-hand expansion points based on the mutation point; k02 represents the number of points in the corresponding processing curve that match the segment t1; k02 represents the number of points in the corresponding processing curve that match the segment t2; k1 represents the number of points before the abrupt change point tb in the processing curve; [ ] represents the rounding symbol; in, To expand the number of elements to the right based on the mutation point; When there is no mutation point, no transition conditions are set for the parameter detection position that is consistent with the corresponding parameter; When a mutation point exists, a trigger condition matching the transition condition is set at the parameter detection position that corresponds to the parameter.

5. The early warning method for temperature and fracture strength of a heat treatment furnace according to claim 1, characterized in that, The current operating stage of the heat treatment furnace has been preliminarily determined, including: Establish the correspondence between internal temperature values ​​and working time, and obtain the N0 sets of correspondences; Match each set of correspondences with the relationship-stage table to determine the working stage of each set of correspondences; Count the maximum number of the same work stage across all work stages, and consider it as the current work stage.

6. The early warning method for temperature and fracture strength of a heat treatment furnace according to claim 1, characterized in that, Determine the cross-sectional uniformity, cross-sectional notch, crack distribution, and carbon content of the heat-treated specimen to obtain the actual fracture strength at the corresponding time point, including: Where Dg represents the actual fracture strength at the corresponding time; E represents the cohesion force at the corresponding time; d represents the elastic modulus based on carbon content at the corresponding time; and G0 represents the fracture set. This represents the fracture factor based on the cross-sectional uniformity yu; This represents the fracture factor based on the cross-sectional notch qu; The fracture factor is represented by lu, which indicates the crack distribution. Indicates based on The fracture factor; express The variance of the four fracture factors.

7. The early warning method for temperature and fracture strength of a heat treatment furnace according to claim 1, characterized in that, The obtained actual fracture strength is mapped and analyzed with the fracture strength set and temperature detection results, including: According to the time sequence, the actual fracture strength at the same heat treatment time, the first fracture strength at the corresponding heat treatment time extracted from the fracture strength set, and the temperature detection results at the heat treatment time are combined. The actual fracture strength is compared with the first fracture strength. A second comparison is made between the temperature detection result corresponding to the actual fracture strength and the temperature detection result corresponding to the first fracture strength. The first comparison result and the second comparison result are the mapping analysis results.

8. The early warning method for temperature and fracture strength in a heat treatment furnace according to claim 7, characterized in that, Based on the mapping analysis results, the heat treatment furnace is given early warnings regarding temperature and fracture strength, including: Obtain the first comparison result and the second comparison result at the same heat treatment time to obtain the comparison quantity; The warning intensity is obtained by extracting the maximum comparison value of all comparison values ​​and obtaining the average comparison value of all comparison values. The corresponding warning will be issued according to the warning intensity.

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