Metal part thermal management system and method based on data analysis

Abstract

The invention discloses a metal part thermal management system and method based on data analysis, and belongs to the technical field of thermal management. The system comprises a model selection module, a data acquisition module, a model management module, an influence analysis module and an intelligent calculation module. The model selection module is used for determining the shape of the selected metal workpiece and the furnace type of the combustion furnace; the data acquisition module is used for acquiring flow data in the heat treatment process of the metal piece and acquiring temperature change data of each temperature acquisition point; the model management module is used for establishing a temperature field analysis model, simulating temperature field distribution in a combustion chamber in the combustion process of the combustion furnace and determining temperature simulation values of all temperature collection points. The influence analysis module is used for determining the temperature true value of each temperature acquisition point and calculating the influence weight of each temperature acquisition point on the heating efficiency of the metal piece; and the intelligent calculation module is used for determining the optimal placement position of the metal piece in the combustion furnace.

Description

Technical Field

[0001] The present invention relates to the field of thermal management technology, and in particular to a metal parts thermal management system and method based on data analysis. Background Art

[0002] As modern industry's demand for high-performance metal materials continues to increase, thermal management of metal parts, as a key technology in modern industrial production, focuses on ensuring the performance, life and reliability of metal parts through scientific material selection, process optimization and real-time monitoring. It is widely used in many fields such as mechanical manufacturing, automobiles and electronic equipment.

[0003] In the process of heating metal parts in a combustion furnace, the temperature distribution in the combustion furnace is uneven, which will lead to uneven heating of the metal parts. Local overheating or underheating will not only reduce the performance of the metal parts, but may also cause deformation or cracking. In the existing thermal management technology of metal parts, after determining the shape of the metal workpiece and the type of the combustion furnace, by setting up a workpiece placement model and automatically matching it in the background database, the combustion temperature of the combustion furnace is simulated, and the appropriate heating plan can be effectively calculated. However, in the process of simulating the temperature distribution of the combustion furnace and determining the heating plan for the metal parts according to the simulation results, the problem of reduced combustion thermal efficiency caused by equipment aging, carbon deposition or ash deposition is ignored, which can easily lead to the system's misjudgment of the energy consumption analysis in the thermal management process of metal parts, and it is impossible to obtain an accurate heating plan, thereby causing a waste of resources. Summary of the invention

[0004] The object of the present invention is to provide a metal parts thermal management system and method based on data analysis to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a metal parts thermal management method based on data analysis, the method comprising the following steps: Step S1, determining the shape of a metal workpiece and the type of a combustion furnace for heat treating the metal workpiece; Step S2, collecting flow data during the heat treatment of the metal part; the flow data includes the gas fuel flow and concentration at the fuel nozzle, the exhaust product at the flue gas channel and the flow and temperature of the exhaust product; determining a number of temperature collection points in the combustion chamber, and collecting temperature change data at each temperature collection point; Step S3, establishing a temperature field analysis model for the combustion furnace type, simulating the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; Step S4, analyzing the temperature change data collected in step S2 to determine the actual temperature value of each temperature collection point; inputting the flow data collected in step S2 into the temperature field analysis model of step S3 to simulate the temperature field distribution and determine the temperature simulation value of each temperature collection point; Step S5, analyzing the actual temperature value and the temperature simulation value of each temperature collection point obtained in step S4, and calculating the influence weight of each temperature collection point on the heating efficiency of the metal part; Step S6, when the metal part is heat treated, the optimal placement position of the metal part in the combustion furnace is determined according to the simulated temperature field distribution, the influence weight of each temperature collection point and the shape of the metal part; the optimal placement position indicates the placement position of the metal part when the heating efficiency is maximized when the metal part is heat treated.

[0006] A metal parts thermal management system based on data analysis, the system includes a model selection module, a data acquisition module, a model management module, an impact analysis module and an intelligent calculation module; The model selection module is used to determine the shape of the metal workpiece and the type of the combustion furnace; send the determined shape of the metal workpiece to the intelligent calculation module; send the determined type of the combustion furnace to the model management module; The data acquisition module is used to collect flow data during the heat treatment of metal parts; the flow data includes the gas fuel flow and concentration at the fuel nozzle, the exhaust product at the flue gas channel and the flow and temperature of the exhaust product; determine a number of temperature collection points in the combustion chamber, and collect temperature change data at each temperature collection point; send the collected flow data to the model management module; send the collected temperature change data to the impact analysis module; The model management module is used to establish a temperature field analysis model for the combustion furnace type, simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; input the flow data collected in the data acquisition module into the temperature field analysis model in the model management module, simulate the temperature field distribution, and determine the temperature simulation value of each temperature collection point; send the temperature simulation value of each temperature collection point to the impact analysis module; The impact analysis module is used to analyze the temperature change data collected in the data acquisition module to determine the true temperature value of each temperature acquisition point; calculate the influence weight of each temperature acquisition point on the heating efficiency of the metal part according to the true temperature value and the temperature simulation value of each temperature acquisition point; and send the influence weight of each temperature acquisition point on the heating efficiency of the metal part to the intelligent calculation module; The intelligent calculation module is used to determine the optimal placement position of the metal part in the combustion furnace based on the simulated temperature field distribution, the influence weight of each temperature collection point and the shape of the metal workpiece; the optimal placement position represents the placement position of the metal part when the heating efficiency is maximized when the metal part is heat treated.

[0007] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned metal part thermal management method based on data analysis by calling the computer program stored in the memory.

[0008] A computer-readable storage medium stores instructions. When the instructions are executed on a computer, the computer is enabled to execute a metal part thermal management method based on data analysis as described above.

[0009] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: by establishing a temperature field analysis model, the influence weight of each temperature collection point on the heating efficiency of the metal part is calculated according to the temperature simulation value and the actual temperature value of each temperature collection point, which can better reflect the temperature change in the combustion chamber when the combustion furnace is burning, and improve the accuracy of temperature data analysis; according to the influence of heat loss at different positions in the combustion chamber on the heating efficiency of the metal part, the optimal placement position of the metal part in the combustion furnace is determined, so that the position of the metal part satisfies the maximization of the heating efficiency, thereby improving the utilization rate of gas fuel and reducing the waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a schematic diagram of the steps of a metal parts thermal management method based on data analysis of the present invention; Figure 2 It is a structural schematic diagram of a metal parts thermal management system based on data analysis of the present invention. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0012] The present invention establishes a temperature field analysis model to simulate the temperature field distribution in the combustion chamber during the combustion of the combustion furnace, analyzes the temperature simulation value and the temperature real value of each temperature collection point according to the simulation result, and calculates the influence weight of each temperature collection point on the heating efficiency of the metal part, which can better reflect the temperature change in the combustion chamber during the combustion of the combustion furnace. The influence weight of each temperature collection point on the heating efficiency of the metal part is substituted into the temperature field analysis model, and the temperature simulation value is corrected to determine the best placement position of the metal part in the combustion furnace. The problem of reduced combustion thermal efficiency caused by equipment aging, carbon deposition or ash deposition is taken into consideration, so that the results of temperature data analysis in thermal management of metal parts are more accurate.

[0013] See also Figure 1-Figure 2 , the present invention provides the following technical solutions: See also Figure 1 In the first embodiment of the present invention, a method for thermal management of metal parts based on data analysis is provided, and the method comprises the following steps: Step S1, determining the shape of a metal workpiece and the type of a combustion furnace for heat treating the metal workpiece.

[0014] It should be noted that the shape of the metal workpiece includes the geometric shape and dimensional parameters of the metal part; the metal part is heat treated in a combustion furnace, and the internal structure of the metal part is changed through a quenching process, thereby improving the mechanical properties of the metal part.

[0015] Step S2, collecting flow data during the heat treatment of metal parts; the flow data includes the gas fuel flow and concentration at the fuel nozzle, the exhaust product at the flue gas channel and the flow and temperature of the exhaust product; determining several temperature collection points in the combustion chamber, and collecting temperature change data at each temperature collection point.

[0016] Furthermore, a flow sensor and a gas analyzer are installed at the fuel nozzle; the flow sensor is used to collect the gas fuel flow at the fuel nozzle; the gas analyzer is used to collect the gas fuel concentration at the fuel nozzle; a multi-parameter comprehensive monitoring device is installed at the flue gas channel; the multi-parameter comprehensive monitoring device is used to collect the exhaust products at the flue gas channel and the flow and temperature of the exhaust products; the temperature collection points are evenly arranged in the area where the metal parts can be placed, and each temperature collection point is installed with a temperature sensor for collecting temperature change data of the temperature collection point; wherein, according to the position information of the temperature collection point, the area where the metal parts can be placed is divided so that each temperature collection point represents a sub-area, and the boundaries between the sub-areas overlap with each other.

[0017] It should be noted that the fuel nozzle is used to control the gas fuel flow rate and spray the gas fuel into the combustion chamber. In this embodiment, the gas fuel and air are sprayed from the same fuel nozzle, and the number of fuel nozzles is not less than 1; the flue gas channel is used to discharge the products after the gas fuel is burned; the combustion chamber is used to provide a combustion environment for the gas fuel and heat metal parts; by arranging a number of temperature collection points in the combustion chamber, the combustion process in the combustion chamber can be better analyzed; each temperature collection point represents a sub-area, and each sub-area has a corresponding combustion chamber plane area.

[0018] Step S3: Establish a temperature field analysis model for the combustion furnace type to simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace.

[0019] Specifically, the method steps for establishing the temperature field analysis model are as follows: Step S31, establishing a temperature field analysis model according to the actual structure of the combustion furnace, the flow data collected during the initial operation of the combustion furnace, and the temperature change data of each temperature collection point, generating a finite element grid in the temperature field analysis model, and each grid center point corresponds to a spatial coordinate point; Step S32, analyze the flow data collected during the initial operation of the combustion furnace and the temperature change data of each temperature collection point, determine the heat released during the combustion of the gas fuel according to the gas fuel flow and concentration at the fuel nozzle, the exhaust products at the flue gas channel and the flow and temperature of the exhaust products, take the fuel nozzle as the heat source, and simulate the temperature field distribution in the combustion chamber under the heat change of the heat source in the temperature field analysis model; repeatedly verify the temperature field distribution simulation results according to the temperature change data of each temperature collection point to obtain a trained temperature field analysis model.

[0020] It should be noted that the combustion furnace is in a completely healthy state when it is first operated. As the operating time of the combustion furnace increases, the equipment in the combustion furnace ages, and ash or carbon deposits will appear on the furnace wall in the combustion chamber, which will affect the heat conversion in the combustion chamber. Therefore, the temperature field analysis model is simulated and trained by using the flow data collected during the initial operation of the combustion furnace and the temperature change data of each temperature collection point, so that the simulation results of the temperature field analysis model are more accurate; in the process of simulating the temperature field distribution in the combustion chamber, the boundary conditions of the furnace wall in the combustion chamber are determined, including the heat flux density on the furnace wall surface, the temperature of the furnace wall surface and the thermal conductivity of the furnace wall surface, and the combustion process of the gas fuel is described by a probability density function model; in this implementation, the temperature field distribution simulation results are repeatedly verified until the accuracy error of the temperature field distribution simulation is less than 3% and the verification is stopped.

[0021] Step S4, analyze the temperature change data collected in step S2 to determine the actual temperature value of each temperature collection point; input the flow data collected in step S2 into the temperature field analysis model of step S3 to simulate the temperature field distribution and determine the temperature simulation value of each temperature collection point.

[0022] It should be noted that, in the process of determining the temperature simulation value of each temperature collection point, the spatial coordinate point of each temperature collection point in the temperature field analysis model is determined according to the position information of each temperature collection point.

[0023] Step S5, analyzing the actual temperature value and the simulated temperature value of each temperature collection point obtained in step S4, and calculating the influence weight of each temperature collection point on the heating efficiency of the metal part.

[0024] Specifically, the method steps for calculating the influence weight of each temperature collection point on the heating efficiency of the metal part are as follows: The actual temperature value of each temperature collection point and temperature simulation value ;according to and , calculate the influence weight of each temperature collection point on the heating efficiency of the metal part , according to the calculation formula: ; in, Indicates The influence weight of each temperature collection point on the heating efficiency of metal parts; Indicates different time Next The temperature simulation value of each temperature collection point; Indicates different time Next The actual temperature value of each temperature collection point; Indicates the total time the burner has been in operation; ; Indicates the number of temperature collection points.

[0025] It should be noted that a historical database is established to store the collected flow data and temperature change data as historical data; when the metal parts are heat treated, the flow data and temperature change data collected and analyzed in steps S4-S5 are analyzed on the historical flow data and historical temperature change data in the historical database, and the influence weight of each temperature collection point on the heating efficiency of the metal parts is determined according to the historical flow data and historical temperature change data, so as to predict the optimal placement position of the current metal parts during heat treatment.

[0026] It should be noted that The lower limit of the integral is the initial operation time of the combustion furnace, and the upper limit of the integral is the time corresponding to the total operation time of the combustion furnace, which includes multiple operation cycles from the start to the end of the operation, obtained from the historical temperature change data; with the aging of the equipment in the combustion furnace, the ash or carbon deposition on the furnace wall in the combustion chamber, such as the carbon deposition on the furnace wall in the combustion chamber hinders the heat transfer and the aging leads to heat loss, which makes the heat loss at the corresponding combustion chamber position increase continuously. The efficiency of the real temperature value and the temperature simulation value is used to calculate the temperature of the combustion furnace. Reflecting the changes in heating efficiency at each temperature collection point can better reflect the temperature changes in the combustion chamber during combustion of the combustion furnace, thereby improving the accuracy of temperature data analysis.

[0027] Step S6, when the metal part is heat treated, the optimal placement position of the metal part in the combustion furnace is determined according to the simulated temperature field distribution, the influence weight of each temperature collection point and the shape of the metal part; the optimal placement position indicates the placement position of the metal part when the heating efficiency is maximized when the metal part is heat treated.

[0028] Specifically, the method steps are: Step S61, simulating the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace in the temperature field analysis model, and determining the change of the temperature simulation value of each grid center point over time according to the simulated temperature field distribution; Step S62: according to the position information of each temperature collection point and the spatial coordinate point in the temperature field analysis model, determine the grid center point corresponding to each temperature collection point in the temperature field analysis model, use the influence weight of each temperature collection point as the influence weight of the grid center point on the temperature, and according to the change of the temperature simulation value of each grid center point over time and the influence weight of the grid center point on the temperature, correct the temperature simulation value to obtain the change of the temperature of each grid center point over time after correction; Step S63, determine the shape of the metal workpiece, and calculate the placement position of the metal workpiece when the heating efficiency is maximized during heat treatment of the metal workpiece based on the shape of the metal workpiece and the change in the temperature of each grid center point over time after correction, and use the placement position as the optimal placement position of the metal workpiece in the combustion furnace.

[0029] Furthermore, in step S63, the calculation formula for the evaluation index when the heating efficiency is maximized during the heat treatment of the metal part is as follows: ; in, It represents the evaluation index when the heating efficiency is maximized; It represents the initial time of gas fuel combustion in the combustion chamber simulated in the temperature field analysis model before heat treatment of the metal part; It indicates the end time of the combustion of gas fuel in the combustion chamber simulated in the temperature field analysis model before the metal parts are heat treated; ; Indicates the number of grids occupied by metal parts in the temperature field analysis model; Indicates the metal part in the temperature field analysis model The grid center points at different times The temperature simulation value under express The corresponding weight of the grid center point on the temperature; Among them, according to the evaluation index when the heating efficiency is maximized, the different grid center points of the metal parts in the temperature field analysis model are determined, and the placement position of the metal parts is obtained according to the spatial coordinate points corresponding to the different grid center points.

[0030] It should be noted that the number of grids occupied by metal parts in the temperature field analysis model is determined according to the geometric shape and size parameters of the metal parts. In this embodiment, the geometric shapes of the metal parts are mostly irregular. At this time, the heating efficiency of different parts of the metal parts will be different under different placement positions of the combustion furnace, which will affect the utilization of the gas fuel. The temperature field distribution is simulated in the temperature field analysis model to determine the change of the temperature simulation value of each grid center point over time. By calculating the influence weight of the temperature collection point on the heating efficiency of the metal part, the influence weight of each grid center point on the temperature is obtained, and the temperature simulation value is corrected to obtain the change of the temperature of the grid center point over time after correction, for example , according to the shape of the metal workpiece, the different grid center points of the metal workpiece in the temperature field analysis model are adjusted so that the position of the metal workpiece meets the evaluation index when the heating efficiency is maximized, thereby determining the optimal placement position of the metal workpiece in the combustion furnace and obtaining the heating scheme of the metal workpiece; the heating scheme includes the optimal placement position of the metal workpiece in the combustion furnace, the gas fuel flow rate and concentration at the fuel nozzle during the heat treatment of the metal workpiece; the above takes into account the influence of heat loss at different positions in the combustion chamber on the heating efficiency of the metal workpiece, thereby improving the accuracy of the heat treatment analysis process of the metal workpiece, and by determining the optimal placement position, the utilization rate of the gas fuel is improved and the waste of resources is reduced.

[0031] In this embodiment, the management personnel places the metal parts in the optimal placement position according to the optimal placement position of the metal parts in the combustion furnace, and then starts the combustion furnace to perform heat treatment on the metal parts.

[0032] In this implementation, when the influence weight of a certain temperature collection point on the heating efficiency of metal parts is too large, the management personnel can perform maintenance and cleaning on the sub-area corresponding to the temperature collection point, so as to improve the heating efficiency of the metal parts in the sub-area; wherein, after the management personnel perform maintenance and cleaning on the sub-area, they manually adjust the influence weight of the heating efficiency of the temperature collection point, and calculate the placement position of the metal parts when the heating efficiency is maximized according to the manually adjusted influence weight.

[0033] It should be noted that when the metal part is heat treated next time, steps S1 to S6 are repeated; if the temperature field analysis model corresponding to the determined combustion furnace type has been established, the established temperature field analysis model is directly used.

[0034] In the second embodiment: a metal parts thermal management system based on data analysis is provided, the system includes a model selection module, a data acquisition module, a model management module, an impact analysis module and an intelligent calculation module; The model selection module is used to determine the shape of the metal workpiece and the type of the combustion furnace; send the determined shape of the metal workpiece to the intelligent calculation module; send the determined type of the combustion furnace to the model management module; The data acquisition module is used to collect flow data during the heat treatment of metal parts; the flow data includes the gas fuel flow and concentration at the fuel nozzle, the exhaust product at the flue gas channel and the flow and temperature of the exhaust product; determine a number of temperature collection points in the combustion chamber, and collect temperature change data at each temperature collection point; send the collected flow data to the model management module; send the collected temperature change data to the impact analysis module; The model management module is used to establish a temperature field analysis model for the combustion furnace type, simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; input the flow data collected in the data acquisition module into the temperature field analysis model in the model management module, simulate the temperature field distribution, and determine the temperature simulation value of each temperature collection point; send the temperature simulation value of each temperature collection point to the impact analysis module and the intelligent calculation module; The impact analysis module is used to analyze the temperature change data collected in the data acquisition module to determine the true temperature value of each temperature acquisition point; calculate the influence weight of each temperature acquisition point on the heating efficiency of the metal part according to the true temperature value and the temperature simulation value of each temperature acquisition point; and send the influence weight of each temperature acquisition point on the heating efficiency of the metal part to the intelligent calculation module; The intelligent calculation module is used to determine the optimal placement position of the metal part in the combustion furnace based on the temperature field distribution simulated by the model management module, the influence weight of each temperature collection point calculated by the impact analysis module, and the shape of the metal workpiece determined by the model selection module; the optimal placement position represents the placement position of the metal part when the heating efficiency is maximized when the metal part is heat treated.

[0035] Furthermore, an interactive platform is provided, through which managers can view the flow data of gas fuel during the heat treatment of metal parts, the temperature change data of each temperature collection point, the influence weight of each temperature collection point on the heating efficiency of metal parts and the optimal placement of metal parts in the combustion furnace.

[0036] See also Figure 2 The manager determines the metal workpiece shape and the combustion furnace type in the model selection module. The model selection module sends the determined metal workpiece shape to the intelligent calculation module; and sends the determined combustion furnace type to the model management module. The data acquisition module collects the flow data and the temperature change data of each temperature acquisition point during the heat treatment of the metal parts; sends the collected flow data and temperature change data to the interactive platform; sends the collected flow data to the model management module; and sends the collected temperature change data to the impact analysis module; The model management module establishes a temperature field analysis model for the combustion furnace type to simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; the flow data collected in the data acquisition module is input into the temperature field analysis model to simulate the temperature field distribution and determine the temperature simulation value of each temperature collection point; the temperature simulation value of each temperature collection point is sent to the impact analysis module and the intelligent calculation module; The impact analysis module analyzes the temperature change data collected in the data acquisition module to determine the true temperature value of each temperature collection point; based on the true temperature value and the temperature simulation value of each temperature collection point, the impact weight of each temperature collection point on the heating efficiency of the metal part is calculated; the impact weight of each temperature collection point on the heating efficiency of the metal part is sent to the intelligent calculation module and the interactive platform; The intelligent calculation module simulates the temperature field distribution through the model management module, and determines the best placement position of the metal parts in the combustion furnace according to the simulated temperature field distribution, the influence weight of each temperature collection point and the shape of the metal parts; and sends the best placement position of the metal parts in the combustion furnace to the interactive platform; The interactive platform digitally displays the flow data of gas fuel during the heat treatment of metal parts, the temperature change data of each temperature collection point, the influence weight of each temperature collection point on the heating efficiency of metal parts and the optimal placement of metal parts in the combustion furnace; among them, the management personnel can modify the influence weight of each temperature collection point on the heating efficiency of metal parts through the interactive platform. When the management personnel modify the influence weight, the interactive platform will send the modification result to the intelligent calculation module to update the influence weight of each temperature collection point, redetermine the optimal placement position of the metal parts in the combustion furnace, and provide real-time feedback on the updated results.

[0037] In the third embodiment: an electronic device is provided, comprising a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the steps of implementing the above-mentioned method for thermal management of metal parts based on data analysis by calling the computer program stored in the memory.

[0038] In the fourth embodiment of the present invention, a computer-readable storage medium is provided, which stores instructions. When the instructions are executed on a computer, the computer executes the steps of a metal part thermal management method based on data analysis as described above, so as to realize the following functions: determining the shape of the metal part workpiece and the type of the combustion furnace, collecting flow data during the heat treatment of the metal part, collecting temperature change data at each temperature collection point, establishing a temperature field analysis model, simulating the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace, calculating the influence weight of each temperature collection point on the heating efficiency of the metal part, and determining the optimal placement position of the metal part in the combustion furnace.

[0039] The computer-readable storage medium includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and other media for storing program codes.

[0040] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for thermal management of metal parts based on data analysis, characterized in that: The method comprises the following steps: Step S1, determining the shape of a metal workpiece and the type of a combustion furnace for heat treating the metal workpiece; Step S2, collecting flow data during the heat treatment of the metal part; the flow data includes the gas fuel flow and concentration at the fuel nozzle, the exhaust product at the flue gas channel and the flow and temperature of the exhaust product; determining a number of temperature collection points in the combustion chamber, and collecting temperature change data at each temperature collection point; Step S3, establishing a temperature field analysis model for the combustion furnace type, simulating the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; Step S4, analyzing the temperature change data collected in step S2 to determine the actual temperature value of each temperature collection point; inputting the flow data collected in step S2 into the temperature field analysis model of step S3 to simulate the temperature field distribution and determine the temperature simulation value of each temperature collection point; Step S5, analyzing the actual temperature value and the temperature simulation value of each temperature collection point obtained in step S4, and calculating the influence weight of each temperature collection point on the heating efficiency of the metal part; Step S6, when the metal part is heat treated, the optimal placement position of the metal part in the combustion furnace is determined according to the simulated temperature field distribution, the influence weight of each temperature collection point and the shape of the metal part; the optimal placement position indicates the placement position of the metal part when the heating efficiency is maximized when the metal part is heat treated.

2. The method for thermal management of metal parts based on data analysis according to claim 1, characterized in that: A flow sensor and a gas analyzer are installed at the fuel nozzle; the flow sensor is used to collect the gas fuel flow at the fuel nozzle; the gas analyzer is used to collect the gas fuel concentration at the fuel nozzle; a multi-parameter comprehensive monitoring device is installed at the flue gas channel; the multi-parameter comprehensive monitoring device is used to collect the exhaust products at the flue gas channel and the flow and temperature of the exhaust products; the temperature collection points are evenly arranged in the area where the metal parts can be placed, and each temperature collection point is installed with a temperature sensor for collecting temperature change data of the temperature collection point; wherein, according to the position information of the temperature collection point, the area where the metal parts can be placed is divided so that each temperature collection point represents a sub-area, and the boundaries between the sub-areas overlap with each other.

3. The method for thermal management of metal parts based on data analysis according to claim 2, characterized in that: The method steps for establishing the temperature field analysis model are as follows: Step S31, establishing a temperature field analysis model according to the actual structure of the combustion furnace, the flow data collected during the initial operation of the combustion furnace, and the temperature change data of each temperature collection point, generating a finite element grid in the temperature field analysis model, and each grid center point corresponds to a spatial coordinate point; Step S32, analyze the flow data collected during the initial operation of the combustion furnace and the temperature change data of each temperature collection point, determine the heat released during the combustion of the gas fuel according to the gas fuel flow and concentration at the fuel nozzle, the exhaust products at the flue gas channel and the flow and temperature of the exhaust products, take the fuel nozzle as the heat source, and simulate the temperature field distribution in the combustion chamber under the heat change of the heat source in the temperature field analysis model; repeatedly verify the temperature field distribution simulation results according to the temperature change data of each temperature collection point to obtain a trained temperature field analysis model.

4. The method for thermal management of metal parts based on data analysis according to claim 2, characterized in that: The method steps for calculating the influence weight of each temperature collection point on the heating efficiency of the metal part are as follows: Determine different times The actual temperature value of each temperature collection point and temperature simulation value ;according to and , calculate the influence weight of each temperature collection point on the heating efficiency of the metal part , according to the calculation formula: ； in, Indicates The influence weight of each temperature collection point on the heating efficiency of metal parts; Indicates different time Next The temperature simulation value of each temperature collection point; Indicates different time Next The actual temperature value of each temperature collection point; Indicates the total time the burner has been in operation; ; Indicates the number of temperature collection points.

5. The method for thermal management of metal parts based on data analysis according to claim 4, characterized in that: The method steps of step S6 are: Step S61, simulating the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace in the temperature field analysis model, and determining the change of the temperature simulation value of each grid center point over time according to the simulated temperature field distribution; Step S62: according to the position information of each temperature collection point and the spatial coordinate point in the temperature field analysis model, determine the grid center point corresponding to each temperature collection point in the temperature field analysis model, use the influence weight of each temperature collection point as the influence weight of the grid center point on the temperature, and according to the change of the temperature simulation value of each grid center point over time and the influence weight of the grid center point on the temperature, correct the temperature simulation value to obtain the change of the temperature of each grid center point over time after correction; Step S63, determine the shape of the metal workpiece, and calculate the placement position of the metal workpiece when the heating efficiency is maximized during heat treatment of the metal workpiece based on the shape of the metal workpiece and the change in the temperature of each grid center point over time after correction, and use the placement position as the optimal placement position of the metal workpiece in the combustion furnace.

6. The method for thermal management of metal parts based on data analysis according to claim 5, characterized in that: In the step S63, the calculation formula for the evaluation index when the heating efficiency is maximized during the heat treatment of the metal part is as follows: ； in, It represents the evaluation index when the heating efficiency is maximized; It represents the initial time of gas fuel combustion in the combustion chamber simulated in the temperature field analysis model before heat treatment of the metal part; It indicates the end time of the combustion of gas fuel in the combustion chamber simulated in the temperature field analysis model before the metal parts are heat treated; ; Indicates the number of grids occupied by metal parts in the temperature field analysis model; Indicates the metal part in the temperature field analysis model The grid center points at different times The temperature simulation value under express The corresponding weight of the grid center point on the temperature; Among them, according to the evaluation index when the heating efficiency is maximized, the different grid center points of the metal parts in the temperature field analysis model are determined, and the placement position of the metal parts is obtained according to the spatial coordinate points corresponding to the different grid center points.

7. A metal parts thermal management system based on data analysis, characterized in that: The system includes a model selection module, a data acquisition module, a model management module, an impact analysis module and an intelligent calculation module; The model selection module is used to determine the shape of the metal workpiece and the type of the combustion furnace; and send the determined shape of the metal workpiece to the intelligent calculation module; Sending the determined combustion furnace type to the model management module; The data acquisition module is used to collect flow data during the heat treatment of metal parts; the flow data includes the gas fuel flow and concentration at the fuel nozzle, the exhaust product at the flue gas channel and the flow and temperature of the exhaust product; determine a number of temperature collection points in the combustion chamber, and collect temperature change data at each temperature collection point; send the collected flow data to the model management module; send the collected temperature change data to the impact analysis module; The model management module is used to establish a temperature field analysis model for the combustion furnace type, simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; input the flow data collected in the data acquisition module into the temperature field analysis model in the model management module, simulate the temperature field distribution, and determine the temperature simulation value of each temperature collection point; send the temperature simulation value of each temperature collection point to the impact analysis module and the intelligent calculation module; The impact analysis module is used to analyze the temperature change data collected in the data acquisition module to determine the true temperature value of each temperature acquisition point; calculate the influence weight of each temperature acquisition point on the heating efficiency of the metal part according to the true temperature value and the temperature simulation value of each temperature acquisition point; and send the influence weight of each temperature acquisition point on the heating efficiency of the metal part to the intelligent calculation module; The intelligent calculation module is used to determine the optimal placement position of the metal part in the combustion furnace based on the temperature field distribution simulated by the model management module, the influence weight of each temperature collection point calculated by the impact analysis module, and the shape of the metal workpiece determined by the model selection module; the optimal placement position represents the placement position of the metal part when the heating efficiency is maximized when the metal part is heat treated.

8. The metal parts thermal management system based on data analysis according to claim 7, characterized in that: An interactive platform is provided, through which managers can view the flow data of gas fuel during the heat treatment of metal parts, the temperature change data of each temperature collection point, the influence weight of each temperature collection point on the heating efficiency of metal parts and the optimal placement of metal parts in the combustion furnace.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the metal part thermal management method based on data analysis as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute a metal part thermal management method based on data analysis as described in any one of claims 1 to 6.

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