A Metal Part Thermal Management System and Method Based on Data Analysis

Abstract

The present invention discloses a metal part thermal management system and method based on data analysis, belonging to the technical field of thermal management. 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 selected metal part workpiece and the type of the combustion furnace; the data acquisition module is used to collect the flow data during the heat treatment of the metal part and collect the temperature change data of each temperature acquisition point; the model management module is used to establish a temperature field analysis model, simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace, and determine the temperature simulation values of each temperature acquisition point; the impact analysis module is used to determine the true temperature values of each temperature acquisition point and calculate the impact weights of each temperature acquisition point on the heating efficiency of the metal part; the intelligent calculation module is used to determine the optimal placement position of the metal part in the combustion furnace.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal management, and specifically provides a metal part thermal management system and method based on data analysis. Background Technique

[0002] With the continuous increase in the demand for high-performance metal materials in modern industry, metal part thermal management, as a key technology in modern industrial production, its core is to ensure the performance, life, and reliability of metal parts through scientific material selection, process optimization, and real-time monitoring, and it is widely used in multiple fields such as machinery manufacturing, automobiles, and electronic devices.

[0003] During the process of heating metal parts in a combustion furnace, the uneven temperature distribution in the combustion furnace will cause 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 metal part thermal management technology, after determining the shape of the metal part workpiece and the type of the combustion furnace, by establishing a workpiece placement model and automatically matching in the background database to simulate the combustion temperature of the combustion furnace, an 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 accumulation is ignored, which easily leads to misjudgment in the energy consumption analysis during the metal part thermal management process by the system, and an accurate heating plan cannot be obtained, resulting in waste of resources. Summary of the Invention

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

[0005] To solve the above technical problems, the present invention provides the following technical solution: A metal part thermal management method based on data analysis, the method includes the following steps:

[0006] Step S1, determine the shape of the metal part workpiece and the type of the combustion furnace used for heat treatment of the metal part;

[0007] Step S2, collect the flow data during the heat treatment of the metal part; the flow data includes the gas fuel flow rate and concentration at the fuel nozzle, the discharged products at the flue gas passage, and the flow rate and temperature of the discharged products; determine several temperature acquisition points in the combustion chamber and collect the temperature change data of each temperature acquisition point;

[0008] 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;

[0009] Step S4: Analyze the temperature change data collected in Step S2 to determine the true temperature values at each temperature acquisition point; input the flow rate data collected in Step S2 into the temperature field analysis model in Step S3 to simulate the temperature field distribution and determine the simulated temperature values at each temperature acquisition point.

[0010] Step S5: Analyze the true temperature values and simulated temperature values at each temperature acquisition point obtained in Step S4, and calculate the influence weights of each temperature acquisition point on the heating efficiency of the metal part.

[0011] Step S6: When heat-treating the metal part, determine the optimal placement position of the metal part in the combustion furnace according to the simulated temperature field distribution, the influence weights of each temperature acquisition point, and the shape of the metal part workpiece; the optimal placement position refers to the placement position of the metal part when the heating efficiency is maximized during heat treatment of the metal part.

[0012] A metal part thermal management system based on data analysis, which includes a model selection module, a data acquisition module, a model management module, an influence analysis module, and an intelligent calculation module.

[0013] The model selection module is used to determine the shape of the metal part workpiece and the type of the combustion furnace; send the determined shape of the metal part workpiece to the intelligent calculation module; send the determined type of the combustion furnace to the model management module.

[0014] The data acquisition module is used to collect the flow rate data during the heat treatment of the metal part; the flow rate data includes the gas fuel flow rate and concentration at the fuel nozzle, the discharged products at the flue gas passage, and the flow rate and temperature of the discharged products; determine several temperature acquisition points in the combustion chamber and collect the temperature change data at each temperature acquisition point; send the collected flow rate data to the model management module; send the collected temperature change data to the influence analysis module.

[0015] The model management module is used to establish a temperature field analysis model for the type of the combustion furnace and simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; input the flow rate data collected in the data acquisition module into the temperature field analysis model in the model management module to perform temperature field distribution simulation and determine the simulated temperature values at each temperature acquisition point; send the simulated temperature values at each temperature acquisition point to the influence analysis module.

[0016] The influence analysis module is used to analyze the temperature change data collected in the data acquisition module to determine the true temperature values at each temperature acquisition point; calculate the influence weights of each temperature acquisition point on the heating efficiency of the metal part according to the true temperature values and simulated temperature values at each temperature acquisition point; send the influence weights of each temperature acquisition point on the heating efficiency of the metal part to the intelligent calculation module.

[0017] The intelligent calculation module is used to determine the optimal placement position of the metal part in the combustion furnace according to the simulated temperature field distribution, the influence weights of each temperature acquisition point, and the shape of the metal part workpiece; the optimal placement position refers to the placement position of the metal part when the heat treatment is performed on the metal part and the heating efficiency is maximized.

[0018] An electronic device includes: a processor and a memory, wherein, a computer program that can be called by the processor is stored in the memory;

[0019] The processor executes the above-mentioned metal part thermal management method based on data analysis by calling the computer program stored in the memory.

[0020] A computer-readable storage medium stores instructions, and when the instructions run on a computer, the computer is caused to execute the above-mentioned metal part thermal management method based on data analysis.

[0021] Compared with the prior art, the beneficial effects achieved by the present invention are: by establishing a temperature field analysis model, according to the simulated temperature values and the true temperature values of each temperature acquisition point, calculating the influence weights of each temperature acquisition point on the heating efficiency of the metal part, it can better reflect the temperature change situation in the combustion chamber during the combustion of the combustion furnace, improving 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, determining the optimal placement position of the metal part in the combustion furnace, so that the position of the metal part meets the maximum heating efficiency, improving the utilization rate of gaseous fuel and reducing the waste of resources. Description of the Drawings

[0022] Figure 1 is a schematic diagram of the steps of a metal part thermal management method based on data analysis according to the present invention;

[0023] Figure 2 is a schematic diagram of the structure of a metal part thermal management system based on data analysis according to the present invention. Detailed Embodiments

[0024] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] The present invention establishes a temperature field analysis model to simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace. According to the simulation results, the simulated temperature values and the actual temperature values at each temperature acquisition point are analyzed, and the influence weights of each temperature acquisition point on the heating efficiency of the metal part are calculated, which can better reflect the temperature change situation in the combustion chamber during the combustion of the combustion furnace. Substituting the influence weights of each temperature acquisition point on the heating efficiency of the metal part into the temperature field analysis model to correct the simulated temperature values, thereby determining the optimal placement position of the metal part in the combustion furnace. Considering the problem of reduced combustion thermal efficiency caused by equipment aging, carbon deposition, or ash accumulation, etc., the results of temperature data analysis in the thermal management of the metal part are made more accurate.

[0026] Please refer to Figure 1 - Figure 2 , the present invention provides the following technical solutions:

[0027] Please refer to Figure 1 , in the first embodiment: A method for thermal management of metal parts based on data analysis is provided, and the method includes the following steps:

[0028] Step S1: Determine the shape of the metal part workpiece and the type of the combustion furnace used for heat treatment of the metal part.

[0029] It should be noted that the shape of the metal part workpiece includes the geometric shape and dimensional parameters of the metal part; the metal part is heat-treated by the combustion furnace, and the internal structure of the metal part is changed through the quenching process, thereby improving the mechanical properties of the metal part.

[0030] Step S2: Collect the flow data during the heat treatment of the metal part; the flow data includes the gas fuel flow rate and concentration at the fuel nozzle, the discharge products at the flue gas passage, and the flow rate and temperature of the discharge products; determine several temperature acquisition points in the combustion chamber, and collect the temperature change data of each temperature acquisition point.

[0031] 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 rate 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 passage; the multi-parameter comprehensive monitoring device is used to collect the discharge products at the flue gas passage and the flow rate and temperature of the discharge products; the temperature acquisition points are evenly arranged in the area where the metal part can be placed, and a temperature sensor is installed at each temperature acquisition point to collect the temperature change data of the temperature acquisition point; wherein, according to the position information of the temperature acquisition points, the area where the metal part can be placed is divided, so that each temperature acquisition point represents a sub-area, and the boundaries between the sub-areas coincide with each other.

[0032] It should be noted that the fuel nozzle is used to control the gas fuel flow rate and inject the gas fuel into the combustion chamber. In this embodiment, both the gas fuel and air are ejected from the same fuel nozzle, and the number of fuel nozzles is not less than 1; the flue gas passage is used to discharge the products after the combustion of the gas fuel; the combustion chamber is used to provide a combustion environment for the gas fuel and heat the metal parts; by arranging a number of temperature acquisition points in the combustion chamber, the combustion process in the combustion chamber can be analyzed better; each temperature acquisition point represents a sub-region, and each sub-region has a corresponding planar region of the combustion chamber.

[0033] Step S3: Establish a temperature field analysis model for the furnace type of the combustion furnace to simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace.

[0034] Specifically, the method steps for establishing the temperature field analysis model are as follows:

[0035] Step S31: According to the actual structure of the furnace type of the combustion furnace, the flow rate data collected during the initial operation of the combustion furnace, and the temperature change data of each temperature acquisition point, establish a temperature field analysis model, generate finite element meshes in the temperature field analysis model, and each mesh center point corresponds to a spatial coordinate point;

[0036] Step S32: Analyze the flow rate data collected during the initial operation of the combustion furnace and the temperature change data of each temperature acquisition point. According to the gas fuel flow rate and concentration at the fuel nozzle, the discharged products and the flow rate and temperature of the discharged products at the flue gas passage, determine the heat released during the combustion process of the gas fuel. Take the fuel nozzle as the heat source and simulate the temperature field distribution in the combustion chamber under the change of the heat source heat in the temperature field analysis model; repeatedly verify the simulation results of the temperature field distribution according to the temperature change data of each temperature acquisition point to obtain a trained temperature field analysis model.

[0037] It should be noted that when the combustion furnace is initially operated, it is in a completely healthy state. As the operation time of the combustion furnace increases, the equipment in the combustion furnace ages, and ash or carbon deposition may occur on the furnace wall in the combustion chamber, which affects the heat conversion in the combustion chamber. Therefore, by using the flow rate data collected during the initial operation of the combustion furnace and the temperature change data of each temperature acquisition point to simulate and train the temperature field analysis model, the simulation results of the temperature field analysis model can be made more accurate; during the process of simulating the temperature field distribution in the combustion chamber, determine the boundary conditions of the furnace wall in the combustion chamber, including the heat flux density on the furnace wall surface, the temperature on the furnace wall surface, and the thermal conductivity of the furnace wall surface, and describe the combustion process of the gas fuel through a probability density function model; in this embodiment, repeatedly verify the simulation results of the temperature field distribution until the accuracy error of the temperature field distribution simulation is less than 3% and then stop the verification.

[0038] Step S4: Analyze the temperature change data collected in Step S2 to determine the true temperature values at each temperature acquisition point; input the flow rate data collected in Step S2 into the temperature field analysis model in Step S3 to simulate the temperature field distribution and determine the simulated temperature values at each temperature acquisition point.

[0039] It should be noted that during the process of determining the simulated temperature values at each temperature acquisition point, the spatial coordinate points of each temperature acquisition point in the temperature field analysis model are determined according to the position information of each temperature acquisition point.

[0040] Step S5: Analyze the true temperature values and simulated temperature values at each temperature acquisition point obtained in Step S4, and calculate the influence weight of each temperature acquisition point on the heating efficiency of the metal part.

[0041] Specifically, the method steps for calculating the influence weight of each temperature acquisition point on the heating efficiency of the metal part are as follows: Determine the true temperature values at each temperature acquisition point at different times and the simulated temperature values ; According to and , calculate the influence weight of each temperature acquisition point on the heating efficiency of the metal part. According to the calculation formula:

[0042] ;

[0043] Among them, represents the influence weight of the th temperature acquisition point on the heating efficiency of the metal part; represents the simulated temperature value of the th temperature acquisition point at different times ; represents the true temperature value of the th temperature acquisition point at different times ; represents the total operating duration of the combustion furnace; ; represents the number of temperature acquisition points.

[0044] It should be noted that a historical database is established, and the collected flow rate data and temperature change data are stored as historical data; when heat-treating the metal part, the flow rate data and temperature change data collected and analyzed in Steps S4 - S5 are analyzed for the historical flow rate data and historical temperature change data in the historical database, and the influence weight of each temperature acquisition point on the heating efficiency of the metal part is determined, so as to predict the optimal placement position during the current heat treatment of the metal part.

[0045] 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 duration of the combustion furnace, including multiple operation cycles from start to end, which is obtained from the historical temperature change data; as the equipment in the combustion furnace ages, and there is ash or carbon deposition on the furnace wall in the combustion chamber, for example, carbon deposition on the furnace wall in the combustion chamber hinders heat transfer and aging leads to heat loss, resulting in an increasing heat loss at the corresponding combustion chamber position. The efficiency of the true temperature and the simulated temperature reflects the change in heating efficiency at each temperature acquisition point, and can better reflect the temperature change situation in the combustion chamber during the combustion of the combustion furnace, thereby improving the accuracy of temperature data analysis.

[0046] Step S6: When heat-treating a metal part, determine the optimal placement position of the metal part in the combustion furnace according to the simulated temperature field distribution, the influence weights of each temperature acquisition point, and the shape of the metal part workpiece; the optimal placement position refers to the placement position of the metal part when the heating efficiency is maximized during heat treatment of the metal part.

[0047] Specifically, the method steps are as follows:

[0048] Step S61: Simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace in the temperature field analysis model, and determine the change of the simulated temperature value at the center point of each grid over time according to the simulated temperature field distribution.

[0049] Step S62: According to the position information of each temperature acquisition point and the spatial coordinate points in the temperature field analysis model, determine the grid center points corresponding to each temperature acquisition point in the temperature field analysis model, take the influence weight of each temperature acquisition point as the influence weight of the grid center point on the temperature, and correct the simulated temperature value according to the change of the simulated temperature value at each grid center point over time and the influence weight of the grid center point on the temperature, to obtain the change of the temperature at each grid center point over time after correction.

[0050] Step S63: Determine the shape of the metal part workpiece, and calculate the placement position of the metal part when the heating efficiency is maximized during heat treatment of the metal part according to the shape of the metal part workpiece and the change of the temperature at each grid center point over time after correction, and take this placement position as the optimal placement position of the metal part in the combustion furnace.

[0051] Furthermore, the calculation formula of the evaluation index when the heating efficiency is maximized during heat treatment of the metal part in step S63 is as follows:

[0052] ;

[0053] Among them, represents the evaluation index when the heating efficiency is maximized; denotes the initial time of the combustion of the gaseous fuel in the combustion chamber simulated in the temperature field analysis model before heat treatment of the metal part; denotes the end time of the combustion of the gaseous fuel in the combustion chamber simulated in the temperature field analysis model before heat treatment of the metal part; ; denotes the number of grids occupied by the metal part in the temperature field analysis model; denotes the th grid center point of the metal part in the temperature field analysis model at different times under the temperature simulation values; denotes the influence weight of the corresponding grid center point on the temperature;

[0054] Among them, according to the evaluation index when the heating efficiency is maximized, different grid center points of the metal part in the temperature field analysis model are determined, and according to the spatial coordinate points corresponding to different grid center points, the placement position of the metal part is obtained.

[0055] It should be noted that according to the geometric shape and dimensional parameters of the metal part, the number of grids occupied by the metal part in the temperature field analysis model is determined ; in this embodiment, the geometric shape of the metal part is mostly irregular. At this time, under different placement positions of the combustion furnace, the heating efficiency of different parts of the metal part will also be different, which affects the utilization of the gaseous 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 acquisition 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 corrected grid center point over time. For example , according to the shape of the metal part workpiece, different grid center points of the metal part in the temperature field analysis model are adjusted so that the position of the metal part meets the evaluation index when the heating efficiency is maximized, thereby determining the optimal placement position of the metal part in the combustion furnace and obtaining the heating scheme of the metal part; the heating scheme includes the optimal placement position of the metal part in the combustion furnace, the gas fuel flow rate and concentration at the fuel nozzle during the heat treatment of the metal part; the above considers the influence of heat loss at different positions in the combustion chamber on the heating efficiency of the metal part, thereby improving the accuracy in the analysis process of the heat treatment of the metal part. By determining the optimal placement position, the utilization rate of the gaseous fuel is improved, and the waste of resources is reduced.

[0056] In this embodiment, the management personnel place the metal part at the optimal placement position according to the optimal placement position of the metal part in the combustion furnace. At this time, the combustion furnace is started to perform heat treatment on the metal part.

[0057] In this embodiment, when the influence weight of a certain temperature acquisition point on the heating efficiency of the metal part is too large, the management personnel can maintain and clean the sub-region corresponding to the temperature acquisition point, thereby improving the heating efficiency of the metal part in this sub-region; among them, when the management personnel maintain and clean this sub-region, they manually adjust the influence weight on the heating efficiency of this temperature acquisition point, and calculate the placement position of the metal part when the heating efficiency is maximized according to the manually adjusted influence weight.

[0058] It should be noted that when heat-treating the metal part next time, repeat steps S1 - S6; among them, if the temperature field analysis model corresponding to the determined combustion furnace type has been established, directly use the established temperature field analysis model.

[0059] In the second embodiment: A metal part 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 influence analysis module, and an intelligent calculation module;

[0060] The model selection module is used to determine the shape of the metal part workpiece and the type of the combustion furnace; send the determined shape of the metal part workpiece to the intelligent calculation module; send the determined type of the combustion furnace to the model management module;

[0061] The data acquisition module is used to collect the flow data during the heat treatment of the metal part; the flow data includes the gas fuel flow rate and concentration at the fuel nozzle, the discharge products at the flue gas passage, and the flow rate and temperature of the discharge products; determine several temperature acquisition points in the combustion chamber, and collect the temperature change data of each temperature acquisition point; send the collected flow data to the model management module; send the collected temperature change data to the influence analysis module;

[0062] The model management module is used to establish a temperature field analysis model for the combustion furnace type, and simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; input the flow data collected by the data acquisition module into the temperature field analysis model in the model management module for temperature field distribution simulation, and determine the temperature simulation values of each temperature acquisition point; send the temperature simulation values of each temperature acquisition point to the influence analysis module and the intelligent calculation module;

[0063] The influence analysis module is used to analyze the temperature change data collected by the data acquisition module to determine the true temperature values of each temperature acquisition point; calculate the influence weights of each temperature acquisition point on the heating efficiency of the metal part according to the true temperature values and temperature simulation values of each temperature acquisition point; send the influence weights of each temperature acquisition point on the heating efficiency of the metal part to the intelligent calculation module;

[0064] The intelligent calculation module is used to determine the optimal placement position of the metal part in the combustion furnace according to the temperature field distribution simulated by the model management module, the influence weights of each temperature acquisition point calculated by the influence analysis module, and the shape of the metal part workpiece determined by the model selection module; the optimal placement position refers to the placement position of the metal part when the heat treatment is carried out on the metal part and the heating efficiency is maximized.

[0065] Furthermore, an interaction platform is provided, and the management personnel can view the flow data of the gaseous fuel, the temperature change data of each temperature acquisition point, the influence weights of each temperature acquisition point on the heating efficiency of the metal part, and the optimal placement position of the metal part in the combustion furnace through the interaction platform.

[0066] Please refer to Figure 2 , the management personnel determine the shape of the metal part workpiece and the type of the combustion furnace in the model selection module. The model selection module sends the determined shape of the metal part workpiece to the intelligent calculation module; and sends the determined type of the combustion furnace to the model management module;

[0067] The data acquisition module acquires the flow data and the temperature change data of each temperature acquisition point during the heat treatment of the metal part; sends the acquired flow data and temperature change data to the interaction platform; sends the acquired flow data to the model management module; and sends the acquired temperature change data to the influence analysis module;

[0068] The model management module establishes a temperature field analysis model for the type of the combustion furnace, and simulates the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; inputs the flow data acquired in the data acquisition module into the temperature field analysis model to perform temperature field distribution simulation, and determines the temperature simulation values of each temperature acquisition point; sends the temperature simulation values of each temperature acquisition point to the influence analysis module and the intelligent calculation module;

[0069] The influence analysis module analyzes the temperature change data acquired in the data acquisition module to determine the true temperature values of each temperature acquisition point; calculates the influence weights of each temperature acquisition point on the heating efficiency of the metal part according to the true temperature values and the temperature simulation values of each temperature acquisition point; sends the influence weights of each temperature acquisition point on the heating efficiency of the metal part to the intelligent calculation module and the interaction platform;

[0070] The intelligent calculation module simulates the temperature field distribution through the model management module, and determines the optimal placement position of the metal part in the combustion furnace according to the simulated temperature field distribution, the influence weights of each temperature acquisition point, and the shape of the metal part workpiece; sends the optimal placement position of the metal part in the combustion furnace to the interaction platform;

[0071] The interaction platform digitally displays the flow rate data of the gaseous fuel during the heat treatment process of the metal parts, the temperature change data of each temperature acquisition point, the influence weight of each temperature acquisition point on the heating efficiency of the metal parts, and the optimal placement position of the metal parts in the combustion furnace. Among them, the management personnel can modify the influence weight of each temperature acquisition point on the heating efficiency of the metal parts through the interaction platform. When the management personnel modify the influence weight, the interaction platform sends the modification result to the intelligent calculation module to update the influence weight of each temperature acquisition point, re-determine the optimal placement position of the metal parts in the combustion furnace, and real-time feedback the update result.

[0072] In the third embodiment: An electronic device is provided, including a processor and a memory. Among them, the memory stores a computer program that can be called by the processor.

[0073] The processor executes the steps of implementing the above-mentioned metal part thermal management method based on data analysis by calling the computer program stored in the memory.

[0074] In the fourth embodiment: A computer-readable storage medium is provided, storing instructions. When the instructions run on a computer, the computer is made to execute the steps of the above-mentioned metal part thermal management method based on data analysis to achieve the following functions: determining the shape of the metal part workpiece and the type of the combustion furnace, collecting the flow rate data during the heat treatment process of the metal part, collecting the temperature change data of each temperature acquisition point, establishing a temperature field analysis model to simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace, calculating the influence weight of each temperature acquisition point on the heating efficiency of the metal part, and determining the optimal placement position of the metal part in the combustion furnace.

[0075] The computer-readable storage medium includes various media for storing program codes such as USB flash drives, mobile hard disks, read-only memories, random access memories, magnetic disks, or optical discs.

[0076] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, 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 metal part thermal management method based on data analysis, characterized in that: The method includes the following steps: Step S1: Determine the shape of the metal workpiece and the type of combustion furnace used for heat-treating the metal workpiece; Step S2: Collect flow data during the heat treatment of the metal workpiece; the flow data includes the gas fuel flow rate and concentration at the fuel nozzle, the discharge products at the flue gas passage, and the flow rate and temperature of the discharge products; determine several temperature acquisition points in the combustion chamber and collect the temperature change data of each temperature acquisition point; Step S3: Establish a temperature field analysis model for the type of combustion furnace to simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace; Step S4: Analyze the temperature change data collected in Step S2 to determine the true temperature values of each temperature acquisition point; input the flow data collected in Step S2 into the temperature field analysis model in Step S3 for temperature field distribution simulation to determine the temperature simulation values of each temperature acquisition point; Step S5: Analyze the true temperature values and temperature simulation values of each temperature acquisition point obtained in Step S4 to calculate the influence weight of each temperature acquisition point on the heating efficiency of the metal workpiece; Determine the true temperature values of each temperature acquisition point at different times t respectively and the temperature simulation values According to and Calculate the influence weights w1, w2,..., w of each temperature acquisition point on the heating efficiency of the metal part n , according to the calculation formula: Among them, w i represents the influence weight of the i-th temperature acquisition point on the heating efficiency of the metal part; represents the temperature simulation value of the i-th temperature acquisition point at different times t; represents the true temperature value of the i-th temperature acquisition point at different times t; T represents the total operating duration of the combustion furnace; i = {1, 2,..., n}; n represents the number of temperature acquisition points; Step S6: When heat-treating the metal workpiece, determine the optimal placement position of the metal workpiece in the combustion furnace according to the simulated temperature field distribution, the influence weight of each temperature acquisition point, and the shape of the metal workpiece; the optimal placement position represents the placement position of the metal workpiece when the heating efficiency is maximized during the heat treatment of the metal workpiece; Step S61: Simulate the temperature field distribution in the combustion chamber during the combustion process of the combustion furnace in the temperature field analysis model, and determine the change of the temperature simulation value of the center point of each grid over time according to the simulated temperature field distribution; Step S62: Determine the grid center point corresponding to each temperature acquisition point in the temperature field analysis model according to the position information of each temperature acquisition point and the spatial coordinate points in the temperature field analysis model, use the influence weight of each temperature acquisition point as the influence weight of the grid center point on the temperature, and correct the temperature simulation value 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 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, calculate the placement position of the metal workpiece when the heating efficiency is maximized during the heat treatment of the metal workpiece according to the shape of the metal workpiece and the change of the temperature of each grid center point over time after correction, and use this placement position as the optimal placement position of the metal workpiece in the combustion furnace.

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

3. The metal part thermal management method based on data analysis according to claim 2, characterized in that: The method steps for establishing a temperature field analysis model are as follows: Step S31: According to the actual structure of the combustion furnace type, the flow rate data collected during the first operation of the combustion furnace, and the temperature change data of each temperature acquisition point, establish a temperature field analysis model, generate finite element meshes in the temperature field analysis model, and each mesh center point corresponds to a spatial coordinate point; Step S32: Analyze the flow rate data collected during the first operation of the combustion furnace and the temperature change data of each temperature acquisition point. According to the gas fuel flow rate and concentration at the fuel nozzle, the discharged products at the flue gas passage, and the flow rate and temperature of the discharged products, determine the heat released during the gas fuel combustion process. Take the fuel nozzle as the heat source, and simulate the temperature field distribution in the combustion chamber under the change of the heat source heat in the temperature field analysis model; repeatedly verify the simulation result of the temperature field distribution according to the temperature change data of each temperature acquisition point to obtain a trained temperature field analysis model.

4. A metal part thermal management method based on data analysis according to claim 1, characterized in that: In step S63, the calculation formula for the evaluation index when the heating efficiency is maximized during the heat treatment of the metal parts is as follows: Wherein, K represents the evaluation index when the heating efficiency is maximized; t1 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; t2 represents the end time of gas fuel combustion in the combustion chamber simulated in the temperature field analysis model before heat treatment of the metal part; j = {1, 2,..., m}; m represents the number of grids occupied by the metal part in the temperature field analysis model; represents the temperature simulation value of the j-th grid center point of the metal part in the temperature field analysis model at different times t; w j represents the influence weight of the corresponding grid center point on the temperature; Among them, according to the evaluation index when the heating efficiency is maximized, determine different mesh center points of the metal parts in the temperature field analysis model, and obtain the placement position of the metal parts according to the spatial coordinate points corresponding to the different mesh center points.

5. A system for implementing the method for heat management of metal parts based on data analysis according to claim 1, 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 part workpiece and the type of the combustion furnace; send the determined shape of the metal part workpiece to the intelligent calculation module; Send the determined combustion furnace type to the model management module; The data acquisition module is used to collect the flow rate data during the heat treatment of the metal parts; the flow rate data includes the gas fuel flow rate and concentration at the fuel nozzle, the discharged products at the flue gas passage, and the flow rate and temperature of the discharged products; determine several temperature acquisition points in the combustion chamber, and collect the temperature change data of each temperature acquisition point; send the collected flow rate 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 rate data collected by the data acquisition module into the temperature field analysis model in the model management module to perform temperature field distribution simulation, and determine the temperature simulation values of each temperature acquisition point; send the temperature simulation values of each temperature acquisition point to the impact analysis module and the intelligent calculation module; The impact analysis module is used to analyze the temperature change data collected by the data acquisition module to determine the true temperature values of each temperature acquisition point; calculate the impact weights of each temperature acquisition point on the heating efficiency of the metal part according to the true temperature values and temperature simulation values of each temperature acquisition point; send the impact weights 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 according to the temperature field distribution simulated by the model management module, the impact weights of each temperature acquisition point calculated by the impact analysis module, and the shape of the metal part workpiece determined by the model selection module; the optimal placement position refers to the placement position of the metal part when the heating efficiency is maximized during the heat treatment of the metal part.

6. The metal part thermal management system based on data analysis according to claim 5, characterized in that: An interactive platform is provided, and the management personnel can view the flow rate data of the gaseous fuel, the temperature change data of each temperature acquisition point, the impact weights of each temperature acquisition point on the heating efficiency of the metal part, and the optimal placement position of the metal part in the combustion furnace through the interactive platform.

7. An electronic device, characterized in that, It includes: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes a method for heat management of metal parts based on data analysis according to any one of claims 1-4 by calling the computer program stored in the memory.

8. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions run on a computer, the computer is caused to execute a method for heat management of metal parts based on data analysis according to any one of claims 1-4.

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