Metal product quenching treatment process monitoring system and method

Abstract

The invention provides a metal product quenching treatment process monitoring system and method, relates to the field of metal processing, and is characterized in that forged metal is obtained and subjected to preheating, quenching heating, quenching cooling, low-temperature tempering and cleaning rust-proof treatment to obtain finished metal. Wherein the quenching cooling needs to obtain a time queue of real-time metal temperature, real-time temperature of a cooling medium and real-time pressure of the cooling medium, and then input data is subjected to time sequence implicit coding, feature splicing and bidirectional interactive response representation so as to automatically recommend the flow velocity of the cooling medium, and the flow velocity is compared with the real-time flow velocity; therefore, a cooling medium flow rate adjusting instruction is generated. Therefore, the self-adaptability and the dynamic response capability of the system can be improved, the stability and consistency of the cooling effect are ensured, the cooling condition is timely responded and adjusted, and the problem of internal stress caused by inconsistent cooling speed is avoided.

Description

Technical Field

[0001] The present application relates to the field of metal processing, and more particularly, in an embodiment of the present application, to a system and method for monitoring a quenching process of a metal product. Background Art

[0002] Metal quenching is a heat treatment process that changes the microstructure of metal materials through rapid cooling, thereby improving their hardness, strength and other mechanical properties. During the quenching process, precise control of cooling speed and uniformity is essential to ensure product quality.

[0003] Patent CN119162432A discloses a quenching process for forged round steel, which includes: preheating treatment; quenching heating to 840-860°C; cooling in 40-80°C rapid quenching oil and stirring to a surface temperature of 150-200°C; then low-temperature tempering at 180-200°C for 2-3 hours to reduce internal stress and improve toughness; cleaning and rust-proofing treatment to ensure storage and transportation quality.

[0004] The patent mainly relies on experience and preset parameters to control the cooling of heated metal. This method has some defects. On the one hand, it lacks adaptability and dynamic response capabilities, and cannot be flexibly adjusted according to the real-time changes in temperature and pressure during cooling, resulting in unstable cooling effects and difficulty in ensuring consistency and repeatability. On the other hand, due to the non-real-time characteristics and fixed parameter configuration, the system is difficult to respond in time when faced with rapidly changing cooling conditions, which not only causes uneven cooling effects, but also causes inconsistent cooling speeds in various parts of the metal, thereby causing internal stress.

[0005] Therefore, an optimized monitoring solution for the quenching process of metal products is desired. Summary of the invention

[0006] In order to solve the above technical problems, the present application is proposed. The embodiment of the present application provides a metal product quenching process monitoring system and method, which obtains the forged metal and performs preheating, quenching heating, quenching cooling, low-temperature tempering, and cleaning and rust prevention treatment on it to obtain the finished metal. Among them, quenching and cooling need to obtain the time queue of the real-time metal temperature, the real-time temperature of the cooling medium, and the real-time pressure of the cooling medium, and then perform time-series implicit encoding, feature splicing, and two-way interactive response representation on the input data to automatically recommend the cooling medium flow rate for comparison with the real-time flow rate, thereby generating a cooling medium flow rate adjustment instruction. In this way, the adaptability and dynamic response capability of the system can be improved, the stability and consistency of the cooling effect can be ensured, and the cooling conditions can be adjusted in a timely manner to avoid internal stress problems caused by inconsistent cooling speeds.

[0007] According to one aspect of the present application, a method for monitoring the quenching process of a metal product is provided, which comprises: step S1: placing the forged metal into a heating furnace for preheating treatment to obtain the preheated metal; step S2: transferring the preheated metal into a salt bath furnace or a controlled atmosphere furnace for quenching heating to obtain the heated metal; step S3: performing quenching cooling treatment on the heated metal to obtain the cooled metal; step S4: placing the cooled metal into a tempering furnace for low-temperature tempering treatment to obtain the tempered metal; step S5: cleaning and rust-proofing the tempered metal to obtain the finished metal; wherein step S3 comprises: Acquire a time queue of the real-time metal temperature collected by the first temperature sensor, and acquire a time queue of the real-time temperature of the cooling medium and a time queue of the real-time pressure of the cooling medium collected by the second temperature sensor and the pressure sensor; Sequentially encoding the time queue of the real-time metal temperature, the time queue of the real-time cooling medium temperature, and the time queue of the real-time cooling medium pressure to obtain metal temperature timing characteristics, cooling medium temperature timing characteristics, and cooling medium pressure timing characteristics; Combining the cooling medium temperature time series characteristic and the cooling medium pressure time series characteristic to obtain a cooling medium temperature-pressure time series combined characteristic; Performing quenching object-quenching medium bidirectional interactive response coding on the metal temperature time series feature and the cooling medium temperature-pressure time series joint feature to obtain a quenching object-quenching medium parameter time series interactive response feature; Based on the quenching object-quenching medium parameter time series interactive response characteristics, a cooling medium flow rate adjustment instruction is generated.

[0008] According to another aspect of the present application, a metal product quenching process monitoring system is provided, comprising: A metal product quenching treatment data acquisition module, used to acquire a time queue of real-time metal temperature acquired by a first temperature sensor, and acquire a time queue of real-time temperature of a cooling medium and a time queue of real-time pressure of a cooling medium acquired by a second temperature sensor and a pressure sensor; A metal product quenching data sequence encoding module, used to respectively perform sequence encoding on the time sequence of the real-time metal temperature, the time sequence of the real-time cooling medium temperature and the time sequence of the real-time cooling medium pressure to obtain metal temperature time series characteristics, cooling medium temperature time series characteristics and cooling medium pressure time series characteristics; A cooling medium temperature-pressure characteristic combination module, used for combining the cooling medium temperature time series characteristic and the cooling medium pressure time series characteristic to obtain a cooling medium temperature-pressure time series combination characteristic; A quenching object-quenching medium bidirectional interactive response encoding module is used to perform quenching object-quenching medium bidirectional interactive response encoding on the metal temperature time series characteristics and the cooling medium temperature-pressure time series joint characteristics to obtain a quenching object-quenching medium parameter time series interactive response characteristic; The cooling medium flow rate adjustment instruction generation module is used to generate a cooling medium flow rate adjustment instruction based on the quenching object-quenching medium parameter time series interactive response characteristics.

[0009] Compared with the prior art, the present application provides a metal product quenching process monitoring system and method, which obtains the forged metal and performs preheating, quenching heating, quenching cooling, low-temperature tempering, and cleaning and rust prevention treatment on it to obtain the finished metal. Among them, quenching and cooling require obtaining the time queue of the real-time metal temperature, the real-time temperature of the cooling medium, and the real-time pressure of the cooling medium, and then the input data is implicitly encoded in time sequence, feature splicing, and bidirectional interactive response representation to automatically recommend the cooling medium flow rate for comparison with the real-time flow rate, thereby generating a cooling medium flow rate adjustment instruction. In this way, the system's adaptability and dynamic response capabilities can be improved, ensuring the stability and consistency of the cooling effect, and timely responding to adjust the cooling conditions to avoid internal stress problems caused by inconsistent cooling speeds. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0011] Figure 1 The figure is a flow chart of a method for monitoring a quenching process of a metal product according to an embodiment of the present application.

[0012] Figure 2 The present invention is a flow chart of performing quenching and cooling treatment on the heated metal to obtain cooled metal in the method for monitoring the quenching treatment process of a metal product according to an embodiment of the present application.

[0013] Figure 3 This is a schematic diagram of data flow for performing quenching and cooling treatment on the heated metal to obtain cooled metal in a method for monitoring a quenching treatment process of a metal product according to an embodiment of the present application.

[0014] Figure 4The present invention is a flowchart of a method for monitoring a quenching process of a metal product according to an embodiment of the present application, in which the metal temperature timing characteristics and the cooling medium temperature-pressure timing joint characteristics are encoded for a quenching object-quenching medium bidirectional interactive response to obtain a quenching object-quenching medium parameter timing interactive response characteristic.

[0015] Figure 5 The present invention is a flowchart of generating a cooling medium flow rate adjustment instruction based on the quenching object-quenching medium parameter time series interactive response characteristics in a metal product quenching process monitoring method according to an embodiment of the present application.

[0016] Figure 6 4 is a system block diagram of a metal product quenching process monitoring system according to an embodiment of the present application. DETAILED DESCRIPTION

[0017] Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0018] Metal quenching is a heat treatment process that changes the metal microstructure through rapid cooling, aiming to improve hardness and strength. Patent CN119162432A discloses a quenching process for forged round steel, involving preheating, heating to 840-860°C, rapid cooling in quenching oil, low-temperature tempering, and cleaning and rust prevention. However, this process relies on experience and preset parameters for cooling control, and lacks adaptability and dynamic response capabilities. Because the temperature and pressure changes during the cooling process cannot be adjusted in real time, the cooling effect is unstable and internal stress is easily generated.

[0019] In response to the above technical problems, the present application proposes a method for monitoring the quenching process of metal products. Figure 1 Flow chart of a method for monitoring a quenching process of a metal product according to an embodiment of the present application. Figure 1 As shown, according to the metal product quenching process monitoring method of the embodiment of the present application, the method includes: step S1: placing the forged metal into a heating furnace for preheating treatment to obtain the preheated metal; step S2: transferring the preheated metal to a salt bath furnace or a controlled atmosphere furnace for quenching heating to obtain the heated metal; step S3: quenching and cooling the heated metal to obtain the cooled metal; step S4: placing the cooled metal into a tempering furnace for low-temperature tempering treatment to obtain the tempered metal; step S5: cleaning and rust-proofing the tempered metal to obtain the finished metal.

[0020] In the above-mentioned method for monitoring the quenching process of metal products, in step S1, the forged metal is placed in a heating furnace for preheating to obtain the preheated metal. It should be understood that placing the forged metal in a heating furnace for preheating can reduce the internal stress of the material, homogenize the organizational structure, and prepare for the subsequent high-temperature quenching. Specifically, first, a suitable heating furnace needs to be selected. The selection of the heating furnace depends on factors such as the type of metal, size, and required heating temperature. Generally speaking, for large or complex-shaped metal parts, salt bath furnaces or controlled atmosphere furnaces are often used. This is because these two types of furnaces can provide a more uniform heating environment, which helps to avoid the occurrence of local overheating, thereby ensuring the consistency of the internal organization of the metal. Next, the preheating temperature needs to be set. The selection of the preheating temperature is usually based on the specific type of metal being processed and its alloy composition. For example, for carbon steel, the preheating temperature is generally set between 500-700°C; while for some high-alloy steels, a higher preheating temperature, such as 800-900°C, may be required. This helps to reduce the thermal stress generated during subsequent quenching, promotes the homogenization of the internal structure of the material, and improves the mechanical properties of the final product. It is worth mentioning that during the preheating of the metal after forging, attention should be paid to the heating speed. Too fast a heating speed may cause a large temperature difference between the surface and the center of the metal, which in turn causes the formation of internal stress. In actual operation, a slow and steady heating rate should be adopted, usually controlled at about 10-30°C per minute, which can be adjusted appropriately according to the specific metal material and size. Slow heating is conducive to the gradual penetration of heat into the metal, so that the entire workpiece reaches a more uniform temperature distribution state. After completing the preheating treatment, the metal parts are transferred to the next process-quenching heating. Before that, a detailed inspection is required to ensure that no new defects are generated due to the preheating process. Through the preheating process, the potential of metal materials can be better utilized and better quality products can be produced.

[0021] In the above-mentioned method for monitoring the quenching process of metal products, in step S2, the preheated metal is transferred to a salt bath furnace or a controlled atmosphere furnace for quenching heating to obtain the heated metal. It should be understood that in the metal processing process, quenching heating is a key step to improve the hardness and strength of metal materials. This process requires the preheated metal to be transferred to a specially designed salt bath furnace or a controlled atmosphere furnace for further processing. Specifically, first, it is necessary to select an appropriate heating device. Among them, the salt bath furnace is widely used in the quenching process due to its uniform heating characteristics and good heat transfer performance. The salt bath furnace transfers heat through molten salt as a medium, which can provide a very uniform heating environment, which is very important for avoiding local overheating and ensuring the consistency of the internal structure of the metal. In addition, the controlled atmosphere furnace is also a commonly used device, which reduces the occurrence of oxidation reaction by controlling the gas composition (such as nitrogen, argon, etc.) in the furnace, thereby protecting the metal surface from the influence of oxide scale. These two devices have their own advantages, and which one to choose depends on the specific process requirements and metal material. When the heating equipment is selected, the next step is to set the quenching heating temperature. The selection of the quenching heating temperature is mainly based on the type of metal and its alloy composition. For example, for carbon steel, the quenching heating temperature is usually set between 840-860℃; while for some high-alloy steels, a higher heating temperature may be required. Accurate heating temperature not only helps to obtain the ideal hardness, but also promotes the transformation of the internal structure of the material and improves its mechanical properties. It is worth mentioning that after determining the quenching heating temperature, it is necessary to maintain an appropriate holding time. The holding time directly affects the degree of change in the internal structure of the metal. If the holding time is too short, austenitization (i.e., transformation to a high-temperature phase) may not be fully achieved, resulting in poor quenching effect; conversely, if the holding time is too long, it may lead to unnecessary energy waste and may also cause problems such as grain growth. Generally speaking, the holding time can be estimated based on the thickness of the metal part, and is usually adjusted according to the principle of 1 hour of holding for every 25 mm thickness. By accurately controlling the holding time, it is possible to ensure that the internal structure of the metal is fully transformed. In this way, through the quenching heating process, the internal structure of the metal material can be effectively improved, and its processing performance can be significantly improved.

[0022] Accordingly, after obtaining the forged metal and preheating and quenching it, it is necessary to perform quenching and cooling treatment on it. In step S3: quenching and cooling the heated metal to obtain the cooled metal, the technical concept of the present application is to obtain the time queue of the real-time metal temperature collected by the first temperature sensor, and obtain the time queue of the real-time temperature of the cooling medium collected by the second temperature sensor and the pressure sensor and the time queue of the real-time pressure of the cooling medium, and use artificial intelligence-based data analysis and encoding methods to perform implicit temporal encoding of the real-time metal temperature, the real-time temperature of the cooling medium and the real-time pressure of the cooling medium. Then, the encoded cooling medium temperature time series characteristics and cooling medium pressure time series characteristics are feature spliced, so as to automatically recommend the cooling medium flow rate value according to the two-way interactive response representation between the cooling medium temperature-pressure time series joint characteristics and the metal temperature time series characteristics, and compare it with the real-time flow rate to generate a cooling medium flow rate adjustment instruction. The present application can automatically adjust the cooling strategy according to real-time changes. This greatly enhances the adaptability and dynamic response capabilities of the system and ensures the stability and consistency of the cooling effect. At the same time, the system can respond promptly to changes in cooling conditions, avoiding internal stress problems caused by inconsistent cooling rates.

[0023] Figure 2 The present invention is a flow chart of performing quenching and cooling treatment on the heated metal to obtain cooled metal in the method for monitoring the quenching treatment process of a metal product according to an embodiment of the present application. Figure 3 This is a schematic diagram of data flow for performing quenching and cooling treatment on the heated metal to obtain cooled metal in the method for monitoring the quenching treatment process of a metal product according to an embodiment of the present application. Figure 2 and Figure 3As shown, in the step S3, the heated metal is subjected to quenching and cooling treatment to obtain the cooled metal, including: S31, obtaining the time queue of the real-time metal temperature collected by the first temperature sensor, and obtaining the time queue of the real-time temperature of the cooling medium and the time queue of the real-time pressure of the cooling medium collected by the second temperature sensor and the pressure sensor; S32, respectively performing sequence encoding on the time queue of the real-time metal temperature, the time queue of the real-time temperature of the cooling medium and the time queue of the real-time pressure of the cooling medium to obtain the metal temperature timing characteristics, the cooling medium temperature timing characteristics and the cooling medium pressure timing characteristics; S33, combining the cooling medium temperature timing characteristics and the cooling medium pressure timing characteristics to obtain the cooling medium temperature-pressure timing joint characteristics; S34, performing quenching object-quenching medium bidirectional interactive response encoding on the metal temperature timing characteristics and the cooling medium temperature-pressure timing joint characteristics to obtain the quenching object-quenching medium parameter timing interactive response characteristics; S35, generating a cooling medium flow rate adjustment instruction based on the quenching object-quenching medium parameter timing interactive response characteristics.

[0024] In an embodiment of the present application, the step S31 obtains the time queue of the real-time metal temperature collected by the first temperature sensor, and obtains the time queue of the real-time temperature of the cooling medium and the time queue of the real-time pressure of the cooling medium collected by the second temperature sensor and the pressure sensor. It should be understood that the change of metal temperature directly affects the quality and accuracy of the processing process, so it is necessary to track and record its temperature change in real time. This data is continuously collected by the first temperature sensor, and a time series of temperature is generated in the form of a timestamp. At the same time, excessive temperature or abnormal pressure of the cooling medium may cause overheating or failure of the equipment, so the second temperature sensor and the pressure sensor will synchronously collect the temperature and pressure data of the cooling medium to form an independent time queue. These data can not only help judge the timeliness of the cooling effect, but also provide a basis for optimizing the cooling system. By synchronously collecting and storing these time series data, the system can understand the status of the metal and the cooling medium in real time, adjust the working parameters in time, ensure that the entire system operates in the best state, and avoid failures or damage caused by abnormal data.

[0025] In an embodiment of the present application, the step S32, respectively, performs sequence encoding on the time queue of the real-time metal temperature, the time queue of the real-time temperature of the cooling medium, and the time queue of the real-time pressure of the cooling medium to obtain metal temperature timing characteristics, cooling medium temperature timing characteristics, and cooling medium pressure timing characteristics, including: respectively performing sequence encoding on the time queue of the real-time metal temperature, the time queue of the real-time temperature of the cooling medium, and the time queue of the real-time pressure of the cooling medium based on the LSTM model to obtain the metal temperature timing characteristics implicit encoding vector as the metal temperature timing characteristics, the cooling medium temperature timing characteristics implicit encoding vector as the cooling medium temperature timing characteristics, and the cooling medium pressure timing characteristics implicit encoding vector as the cooling medium pressure timing characteristics. It should be understood that, considering that in the process of metal quenching treatment, the real-time metal temperature, the real-time temperature of the cooling medium, and the real-time pressure of the cooling medium change with time, there is a close connection between the data at each moment. For example, the metal temperature at the current moment is affected by the temperature at the previous moment and the state of the cooling medium. Therefore, in order to effectively capture these long-term dependencies, the present application performs sequence encoding based on the LSTM model on the time queue of the real-time metal temperature, the time queue of the real-time temperature of the cooling medium, and the time queue of the real-time pressure of the cooling medium to capture and mine the implicit time series correlation between the parameters between different time periods, and obtain the implicit encoding vector of the metal temperature time series feature, the implicit encoding vector of the cooling medium temperature time series feature, and the implicit encoding vector of the cooling medium pressure time series feature. Among them, the gating mechanism (input gate, forget gate, and output gate) of the LSTM model can filter and control the flow of information, remember long-term important information, and forget irrelevant information, so as to better characterize the important characteristics of each parameter, such as trends, periodicity, and abnormal conditions, which are crucial to understanding the quenching cooling process.

[0026] In an embodiment of the present application, the step S33, combining the cooling medium temperature time series feature and the cooling medium pressure time series feature to obtain the cooling medium temperature-pressure time series joint feature, includes: feature splicing the cooling medium temperature time series feature implicit coding vector and the cooling medium pressure time series feature implicit coding vector to obtain the cooling medium temperature-pressure time series joint feature implicit coding vector as the cooling medium temperature-pressure time series joint feature. It should be understood that, considering that in the metal quenching process, the temperature and pressure of the cooling medium do not act independently, but affect each other and synergistically produce an effect on metal cooling. For example, a change in the cooling medium pressure may change its flow rate and distribution, thereby affecting the heat transfer efficiency and causing a change in the temperature distribution; conversely, a temperature change may also affect the physical properties of the cooling medium and have an indirect effect on the pressure. Based on this, in the technical solution of the present application, the cooling medium temperature time series feature implicit coding vector and the cooling medium pressure time series feature implicit coding vector are feature spliced ​​to integrate the information of these two key factors, comprehensively reflect the comprehensive characteristics of the cooling medium in the time series, and obtain the cooling medium temperature-pressure time series joint feature implicit coding vector. In this way, the heat exchange rules between the cooling medium and the metal and the mechanism of influence on the metal structure performance can be more effectively explored.

[0027] In an embodiment of the present application, in step S34, the metal temperature time series characteristics and the cooling medium temperature-pressure time series joint characteristics are subjected to quenching object-quenching medium bidirectional interactive response encoding to obtain quenching object-quenching medium parameter time series interactive response characteristics. It should be understood that, considering that in the metal quenching process, there is a strong interaction between the metal (quenching object) and the cooling medium (quenching medium). The temperature change of the metal will change the temperature distribution and flow state of the cooling medium. Conversely, the temperature, pressure and flow characteristics of the cooling medium directly affect the cooling rate and final microstructure of the metal. This interaction is the core of the quenching process. Therefore, in order to be able to capture and explore this essential relationship more carefully and comprehensively describe the dynamic changes of the mutual influence between the two during the quenching process, the present application performs the quenching object-quenching medium bidirectional interactive response encoding of the metal temperature time series characteristics and the cooling medium temperature-pressure time series joint characteristics to obtain the quenching object-quenching medium parameter time series interactive response characteristics. In this way, the interaction mechanism between the metal and the cooling medium in the entire quenching process can be deeply analyzed, providing rich data support for the subsequent generation of the cooling medium flow rate.

[0028] Figure 4The present invention is a flow chart of performing a quenching object-quenching medium parameter time series interactive response encoding on the metal temperature time series characteristics and the cooling medium temperature-pressure time series joint characteristics in the metal product quenching process monitoring method according to the embodiment of the present application to obtain a quenching object-quenching medium parameter time series interactive response characteristic. Figure 4 As shown, in an embodiment of the present application, the step S34, performing a quenching object-quenching medium bidirectional interactive response encoding on the metal temperature time series feature and the cooling medium temperature-pressure time series joint feature to obtain a quenching object-quenching medium parameter time series interactive response feature, includes: S341, performing a homography projection transformation on the metal temperature time series feature implicit encoding vector and the cooling medium temperature-pressure time series joint feature implicit encoding vector to obtain a metal temperature time series homography projection encoding vector and a cooling medium temperature-pressure time series joint homography projection encoding vector; S342, based on the metal temperature time series homography projection encoding vector and the cooling medium temperature-pressure time series joint homography projection encoding vector The positive and negative quenching object-quenching medium parameter bidirectional attention balance field between the quantities is obtained, and the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector are feature modulated to obtain the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector; S343, the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector are interactively responded to obtain the quenching object-quenching medium parameter time series interactive response coding vector as the quenching object-quenching medium parameter time series interactive response feature.

[0029] In an embodiment of the present application, the step S341, performing a homography projection transformation on the implicit coding vector of the metal temperature timing feature and the implicit coding vector of the cooling medium temperature-pressure timing joint feature to obtain the metal temperature timing homography projection coding vector and the cooling medium temperature-pressure timing joint homography projection coding vector, includes: S3411, using the metal temperature timing mapping homography matrix to perform a homography projection transformation on the implicit coding vector of the metal temperature timing feature to obtain the metal temperature timing homography projection coding vector; S3412, using the cooling medium temperature-pressure timing joint mapping homography matrix to perform a homography projection transformation on the implicit coding vector of the cooling medium temperature-pressure timing joint feature to obtain the cooling medium temperature-pressure timing joint homography projection coding vector.

[0030] Specifically, in the step S3411, the metal temperature time series feature implicit coding vector is subjected to homography projection transformation using the metal temperature time series mapping homography matrix to obtain the metal temperature time series homography projection coding vector, which is expressed by the metal temperature homography projection transformation formula as follows: ;in, is the implicit encoding vector of the metal temperature time series feature, is the homography matrix of metal temperature time series mapping, is the homography projection encoding vector of the metal temperature time series. In this way, in this feature space, the relative position relationship between features is maintained, but these features may be observed from different perspectives or scales.

[0031] Specifically, in step S3412, the cooling medium temperature-pressure time series joint mapping homography matrix is ​​used to perform homography projection transformation on the cooling medium temperature-pressure time series joint feature implicit coding vector to obtain the cooling medium temperature-pressure time series joint homography projection coding vector, which is expressed by the cooling medium temperature-pressure homography projection transformation formula: ;in, is the implicit encoding vector of the joint characteristic of the cooling medium temperature and pressure time series, is the homography matrix of the joint mapping of the cooling medium temperature and pressure time series, is the cooling medium temperature-pressure time series joint homography projection coding vector. In this way, the original cooling medium temperature-pressure time series joint feature implicit coding vector is transformed by homography projection to map the cooling medium temperature-pressure time series joint feature implicit coding vector to a new feature space.

[0032] In an embodiment of the present application, the step S342, based on the forward and reverse quenching object-quenching medium parameter bidirectional attention balance field between the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector, features the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector to obtain the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector, including: S3421, calculating the forward quenching object-quenching medium parameter attention score field of the metal temperature time series homography projection coding vector relative to the cooling medium temperature-pressure time series joint homography projection coding vector; S3422, calculating the The cooling medium temperature-pressure time series joint homography projection coding vector is relative to the reverse quenching object-quenching medium parameter attention score field of the metal temperature time series homography projection coding vector; S3423, constructing the forward and reverse quenching object-quenching medium parameter bidirectional attention balance field between the forward quenching object-quenching medium parameter attention score field and the reverse quenching object-quenching medium parameter attention score field; S3424, mapping the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector to the forward and reverse quenching object-quenching medium parameter bidirectional attention balance field respectively to obtain the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector.

[0033] Specifically, in step S3421, the forward quenching object-quenching medium parameter attention score field of the metal temperature time series homography projection coding vector relative to the cooling medium temperature-pressure time series joint homography projection coding vector is calculated, and the forward attention score field formula is expressed as: ;in, yes The transposed vector of yes Length, is the forward quenching object-quenching medium parameter attention score field. It should be understood that the forward attention score field is calculated for the code vector after homography projection transformation. This process evaluates the importance distribution of the metal temperature time series homography projection code vector relative to the cooling medium temperature-pressure time series joint homography projection code vector, which usually involves calculating the position-sensitive similarity score between the two code vectors to construct an importance map representing the metal temperature time series feature implicit code vector in the context of the cooling medium temperature-pressure time series joint feature implicit code vector. The core of the forward attention mechanism is to quantify the correlation between the two code vectors, and such a mechanism simulates the characteristics of the human visual system. In this way, the model can "pay attention" to the part of the metal temperature time series feature implicit code vector that best reflects the correlation with the cooling medium temperature-pressure time series joint feature implicit code vector, and at the same time act as a filter to filter out irrelevant noise information.

[0034] Specifically, in step S3422, the reverse quenching object-quenching medium parameter attention score field of the cooling medium temperature-pressure time series joint homography projection coding vector relative to the metal temperature time series homography projection coding vector is calculated, and the reverse attention score field formula is expressed as: ;in, yes The transposed vector of yes Length, is the reverse quenching object-quenching medium parameter attention score field. It should be understood that in order to supplement the information of the forward attention score field, it is necessary to calculate the reverse attention score field of the cooling medium temperature-pressure time series joint homography projection encoding vector relative to the metal temperature time series homography projection encoding vector. In this way, the forward and reverse attention score fields work together to form a more complete and detailed relationship map, which helps to capture asymmetric relationships. This process provides an opportunity to understand the relationship between features from the opposite direction, ensuring that important interaction details are not missed.

[0035] Specifically, in the step S3423, the positive and negative quenching object-quenching medium parameter bidirectional attention balance field between the positive quenching object-quenching medium parameter attention score field and the reverse quenching object-quenching medium parameter attention score field is constructed, and the positive and negative bidirectional attention balance field formula is expressed as: ;in, is the feature concatenation operation, is a convolutional code with a convolution kernel of 3×3. It is the positive and negative quenching object-quenching medium parameter two-way attention balance field. It should be understood that in order to integrate the information of the positive and negative attention score fields, the positive and negative quenching object-quenching medium parameter two-way attention balance field is constructed. The design of the balance field needs to consider the specific needs of the task. The dynamic adjustment of the weight coefficient can automatically optimize the balance effect according to the characteristics of the input data, thereby improving the adaptability and generalization ability of the model. Ideally, the positive and negative quenching object-quenching medium parameter two-way attention balance field should complement each other rather than offset each other. This operation comprehensively considers the mutual influence between the two feature vectors to ensure that in the final interactive response encoding, neither one side is overly biased nor the contribution of either side is ignored.

[0036] Specifically, in the step S3424, the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector are respectively mapped to the positive and negative quenching object-quenching medium parameter bidirectional attention balance field to obtain the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector, which are expressed by the homography projection attention modulation formula as follows: ;in, is the metal temperature time series homography projection attention modulation encoding vector, It is the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector. It should be understood that when the coding vector is mapped to the positive and negative quenching object-quenching medium parameter bidirectional attention balance field constructed above, it is actually performing a reweighting operation. The modulated coding vector not only contains the information of the original features, but also incorporates the influence of the features from the other party. This process is similar to the feedback mechanism in human communication-one party will adjust its expression according to the other party's response. In this way, the model can understand and represent the complex interaction between features at a higher level of abstraction, ensuring that each coding vector adjusts itself according to the guidance provided by the balance field to generate a new coding vector.

[0037] Specifically, in the step S343, the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector are interactively responded to obtain the quenching object-quenching medium parameter time series interactive response coding vector as the quenching object-quenching medium parameter time series interactive response feature, which is expressed by the position point division formula as follows: ;in, is the quenching object-quenching medium parameter time series interaction response encoding vector. It should be understood that the final quenching object-quenching medium parameter time series interaction response encoding vector is obtained by performing positional dot division on the metal temperature time series homography projection attention modulation encoding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation encoding vector. The dot division operation is used here as a comparison mechanism to reveal the new relationship between the two feature vectors after their respective modulations, providing an informative representation for subsequent tasks. This deep level of feature comparison and integration reveals subtle proportional relationships between features, which are crucial for explaining model decisions.

[0038] Figure 5 The present invention is a flowchart of generating a cooling medium flow rate adjustment instruction based on the quenching object-quenching medium parameter time sequence interactive response characteristics in the metal product quenching process monitoring method according to the embodiment of the present application. Figure 5 As shown, in an embodiment of the present application, the step S35 generates a cooling medium flow rate adjustment instruction based on the quenching object-quenching medium parameter timing interaction response characteristics, including: S351, based on the quenching object-quenching medium parameter timing interaction response encoding vector, obtaining an optimization result, the optimization result is a cooling medium flow rate recommended value; S352, based on a comparison between the cooling medium flow rate recommended value and the cooling medium real-time flow rate value, generating the cooling medium flow rate adjustment instruction.

[0039] In an embodiment of the present application, the step S351, based on the quenching object-quenching medium parameter time series interactive response coding vector, obtains the optimization result, including: inputting the quenching object-quenching medium parameter time series interactive response coding vector into the cooling medium flow rate optimization module based on the decoder to obtain the optimization result. That is, the quenching object-quenching medium parameter time series interactive response characteristics obtained by bidirectional interactive response using the implicit coding vector of the metal temperature time series feature and the implicit coding vector of the cooling medium temperature-pressure time series joint feature are decoded and processed, so as to learn this complex nonlinear relationship by using the powerful nonlinear mapping ability of the decoder-based module. For example, the decoder can understand what kind of cooling medium flow rate can achieve the best quenching effect under different quenching object-quenching medium parameter interaction conditions by learning a large amount of historical data, so as to accurately give the recommended flow rate value.

[0040] In a preferred example, the quenching object-quenching medium parameter time series interaction response encoding vector is input into a decoder-based cooling medium flow rate optimization module to obtain an optimization result, including: Calculate the first encoding vector of the quenching object-quenching medium parameter time series interaction response Eigenvalues ​​and The eigenvalues Distance and Distance, thus obtaining the first quenching object-quenching medium parameter time series interaction response distance matrix and the second quenching object-quenching medium parameter time series interaction response distance matrix: ;in, The first one represents the encoding vector of the time series interaction response of the quenching object and the quenching medium parameters Eigenvalues, The first one represents the encoding vector of the time series interaction response of the quenching object and the quenching medium parameters Eigenvalues, express distance, express distance, represents the first quenching object-quenching medium parameter time series interaction response distance matrix The eigenvalues ​​of the positions, represents the second quenching object-quenching medium parameter time series interaction response distance matrix The eigenvalue of the position; Calculate the weighted sum of the first quenching object-quenching medium parameter time series interaction response distance matrix and the second quenching object-quenching medium parameter time series interaction response distance matrix, and determine each eigenvalue of the distance weighted sum matrix arrive , so as to arrange the eigenvalues ​​to obtain the eigenvector of the time series interaction response distance between the quenching object and the quenching medium parameter: ;in, represents the first eigenvalue of the distance weighted sum matrix, represents the second eigenvalue of the distance weighted sum matrix, represents the distance weighted sum matrix Eigenvalues, It represents the eigenvector of the time series interaction response distance between the quenching object and the quenching medium parameters; Interpolating the quenching object-quenching medium parameter time series interaction response distance eigenvector to obtain a quenching object-quenching medium parameter time series interaction response interpolation eigenvector having the same length as the quenching object-quenching medium parameter time series interaction response encoding vector; The quenching object-quenching medium parameter time series interaction response encoding vector is matrix-multiplied with the first quenching object-quenching medium parameter time series interaction response distance matrix to obtain the quenching object-quenching medium parameter time series interaction response intermediate feature vector, and the second quenching object-quenching medium parameter time series interaction response distance matrix is ​​matrix-multiplied with the quenching object-quenching medium parameter time series interaction response encoding vector autocorrelation matrix, that is, Perform matrix multiplication to obtain the intermediate characteristic matrix of the time series interaction response between the quenching object and the quenching medium parameters, namely: ;in, represents the encoding vector of the time series interaction response between the quenching object and the quenching medium parameters, is the first quenching object-quenching medium parameter time series interaction response distance matrix, is the intermediate characteristic vector of the time series interaction response between the quenching object and the quenching medium parameters, represents the transposed vector of a vector, represents matrix multiplication, is the second quenching object-quenching medium parameter time series interaction response distance matrix, The intermediate characteristic matrix representing the time series interaction response between the quenching object and the quenching medium parameters; After matrix multiplication of the intermediate characteristic vector of the quenching object-quenching medium parameter time series interaction response and the intermediate characteristic matrix of the quenching object-quenching medium parameter time series interaction response, further dot multiplication with the interpolation eigenvector of the quenching object-quenching medium parameter time series interaction response is performed to obtain an optimized quenching object-quenching medium parameter time series interaction response encoding vector; The optimized quenching object-quenching medium parameter time series interaction response encoding vector is input into a decoder-based cooling medium flow rate optimization module to obtain an optimization result.

[0041] Here, when the metal temperature time series feature implicit coding vector and the cooling medium temperature-pressure time series joint feature implicit coding vector respectively represent the short-range-long-range bidirectional time series correlation feature of the real-time metal temperature and the spliced ​​time series correlation feature of the real-time temperature and real-time pressure of the cooling medium, when performing quenching object-quenching medium bidirectional interactive response encoding, the lack of positive and negative attention field reinforcement association correspondence caused by the difference in the dimensionality of the source time series distribution feature samples will cause the sparse association interactive response of the quenching object-quenching medium parameter time series interactive response coding vector, thereby reducing the accuracy of the optimization result obtained by the cooling medium flow rate optimization module based on the decoder due to the lack of decoding inference degree.

[0042] Therefore, the first distance matrix and the second distance matrix of the quenching object-quenching medium parameter temporal interaction response coding vector are used as the fine-grained metric association cluster representation of the quenching object-quenching medium parameter temporal interaction response coding vector, and the dynamic programming of the relationship between association clusters of different association clusters is performed on the quenching object-quenching medium parameter temporal interaction response coding vector and its self-association representation respectively to simulate the sparse activation based on neuron clusters of the association system, and the fine-grained predictable sparsity of the quenching object-quenching medium parameter temporal interaction response coding vector is coordinated with the eigenvalue representation of the metric association cluster of the first distance matrix and the second distance matrix of the quenching object-quenching medium parameter temporal interaction response coding vector, so as to avoid the lack of decoding inference degree affected by insufficient association caused by sparsity, and improve the accuracy of the optimization result obtained by the cooling medium flow rate optimization module based on the decoder input of the quenching object-quenching medium parameter temporal interaction response coding vector.

[0043] Specifically, in step S352, based on the comparison between the recommended value of the cooling medium flow rate and the real-time flow rate value of the cooling medium, the cooling medium flow rate adjustment instruction is generated. That is, by comparing the recommended value of the cooling medium flow rate and the real-time flow rate value, such deviation can be discovered in time, providing a basis for generating the adjustment instruction, thereby realizing real-time feedback adjustment of the cooling medium flow rate, and ensuring that the quenching process is always in the best state. It should be understood that in a specific embodiment of the present application, the flow rate of the cooling medium is monitored in real time by a sensor and compared with the recommended value set in advance. If the real-time flow rate is lower than the recommended value, the system will determine that the cooling effect may be insufficient and the flow rate needs to be increased; if the real-time flow rate is higher than the recommended value, the system will determine that the cooling is too fast, which may affect the quenching quality and the flow rate needs to be reduced. Next, the system generates specific adjustment instructions according to the direction and amplitude of the deviation, such as increasing the pump speed or adjusting the valve opening, indicating how the cooling system is adjusted to restore to the ideal flow rate. These adjustment instructions can be executed by an automatic control system without manual intervention, ensuring that the cooling medium flow rate is always maintained in the optimal range, thereby ensuring the stability of the quenching process and product quality.

[0044] In summary, step S3 is explained, which obtains the time queue of the real-time metal temperature collected by the first temperature sensor, and obtains the time queue of the real-time temperature of the cooling medium and the time queue of the real-time pressure of the cooling medium collected by the second temperature sensor and the pressure sensor, and uses artificial intelligence-based data analysis and coding methods to perform implicit temporal coding of the real-time metal temperature, the real-time temperature of the cooling medium and the real-time pressure of the cooling medium. Then, the encoded cooling medium temperature timing characteristics and cooling medium pressure timing characteristics are feature spliced, so as to automatically recommend the cooling medium flow rate value according to the two-way interactive response representation between the cooling medium temperature-pressure timing joint characteristics and the metal temperature timing characteristics, and compare it with the real-time flow rate to generate a cooling medium flow rate adjustment instruction. The present application can automatically adjust the cooling strategy according to real-time changes. This greatly enhances the adaptability and dynamic response capabilities of the system, and ensures the stability and consistency of the cooling effect. At the same time, the system can respond to changes in cooling conditions in a timely manner, avoiding internal stress problems caused by inconsistent cooling speeds.

[0045] In the above-mentioned method for monitoring the quenching process of metal products, in step S4, the cooled metal is placed in a tempering furnace for low-temperature tempering treatment to obtain tempered metal. It should be understood that common tempering equipment includes electric tempering furnaces, gas tempering furnaces, and vacuum tempering furnaces. Among them, the vacuum tempering furnace can be operated in a low-oxygen environment, which helps to reduce the occurrence of oxidation reactions, thereby protecting the metal surface from the influence of oxide scale. The selection of tempering temperature mainly depends on the type of metal and its alloy composition. For example, for carbon steel, the low-temperature tempering temperature is usually set between 180-200°C; while for some high-alloy steels, a higher tempering temperature may be required. Accurate tempering temperature not only helps to restore some plasticity, but also effectively reduces the internal stress generated during quenching and improves the toughness of the material. Through the tempering process, the internal structure of the metal material can be effectively improved, and its processing performance can be significantly improved.

[0046] In the above-mentioned metal product quenching process monitoring method, the step S5 is to clean and rust-proof the tempered metal to obtain the finished metal. It should be understood that in the final stage of the metal processing process, cleaning and rust-proofing can remove various pollutants and oxides generated during the tempering process, and can also prevent further corrosion of the metal surface through appropriate rust-proof measures. Among them, common cleaning methods include alkali cleaning, pickling, water washing and ultrasonic cleaning. Each method has its scope of application and characteristics, and the most suitable solution needs to be selected according to the specific metal material and surface state. For example, for carbon steel and low alloy steel, a combination of alkali cleaning and pickling is usually used; while for stainless steel and other materials with strong corrosion resistance, neutral or weak acid cleaning agents can be used. In addition, ultrasonic cleaning, as an efficient cleaning method, is particularly suitable for metal parts of complex shapes. It can remove dirt from difficult-to-reach parts through high-frequency vibration. When the cleaning method is selected, the corresponding cleaning solution needs to be prepared next. Alkaline cleaning solutions are usually prepared with sodium hydroxide (NaOH) or sodium carbonate (Na2CO3) to remove grease and other organic contaminants, while pickling solutions often use hydrochloric acid (HCl), sulfuric acid (H2SO4) or phosphoric acid (H3PO4) to remove scale and rust. It should be noted that the acid concentration and temperature should be strictly controlled during the pickling process to avoid excessive corrosion of the metal surface. In addition, to improve the cleaning efficiency, an appropriate amount of surfactants can be added to the cleaning solution. These additives help to reduce the surface tension of the solution and enhance the decontamination ability. Further, after completing the preparation of the cleaning solution, the metal parts are placed in the cleaning equipment for operation. Among them, during the alkaline cleaning process, the metal parts usually need to be immersed in the alkaline solution at 60-80℃ for 10-30 minutes, and the specific time depends on the type and thickness of the contaminants. Subsequently, the metal parts need to be fully washed with water to completely remove the residual alkaline solution. Similarly, during the pickling process, the concentration and temperature of the acid solution also need to be accurately controlled, and the soaking time should be adjusted according to the actual situation. After the pickling is completed, it is fully washed with water again to ensure that all the acid is completely removed. Ultrasonic cleaning uses the cavitation effect produced by high-frequency vibration to remove stubborn dirt from the metal surface in a short time. This cleaning method is particularly suitable for metal parts with complex shapes and precision structures, such as gears, bearings, etc. When performing ultrasonic cleaning, the metal parts are usually placed in a tank filled with cleaning solution, and then the ultrasonic generator is started. High-frequency vibrations will produce tiny bubbles in the liquid, which will generate local high pressure when they burst, thereby effectively stripping pollutants from the metal surface. The time for ultrasonic cleaning is generally controlled between 5-30 minutes. Immediately after completing the cleaning process, the next step is to carry out rust prevention. The main purpose of rust prevention is to form a protective film on the metal surface to prevent it from corrosion during storage and transportation. Common rust prevention methods include oiling, phosphating, passivation, etc.Oiling is one of the simplest and most direct rust prevention methods, suitable for most metal parts. Commonly used anti-rust oils include mineral oil, synthetic oil, etc. They can form a thin oil film on the metal surface, effectively isolating moisture and oxygen in the air. Phosphating is a chemical conversion treatment method that improves its corrosion resistance by forming a phosphate protective film on the metal surface. Passivation forms a dense oxide film on the metal surface through chemical reaction, which is particularly suitable for materials with strong corrosion resistance such as stainless steel. It is worth mentioning that when performing anti-rust treatment, it is necessary to ensure that the surface of the metal part is clean and free of water marks. If there is residual moisture on the surface, the anti-rust effect will be greatly reduced. Therefore, before oiling or other anti-rust treatments, it is usually necessary to dry the metal parts. Common drying methods include natural drying, hot air drying and vacuum drying. Natural drying is suitable for small metal parts, but for large workpieces, hot air drying or vacuum drying is more efficient. Hot air drying accelerates the evaporation of water by heating the air, while vacuum drying quickly removes water under low pressure. Both methods can significantly shorten the drying time and improve production efficiency. After cleaning and anti-rust treatment, the surface quality of metal materials can be effectively improved and their corrosion resistance can be significantly enhanced.

[0047] In summary, a method for monitoring the quenching process of a metal product based on an embodiment of the present application is described, which obtains the forged metal and performs preheating, quenching heating, quenching cooling, low-temperature tempering, and cleaning and rust prevention treatment on it to obtain a finished metal. Among them, quenching and cooling require obtaining a time queue of real-time metal temperature, real-time temperature of the cooling medium, and real-time pressure of the cooling medium, and then performing time-series implicit encoding, feature splicing, and two-way interactive response representation on the input data to automatically recommend the cooling medium flow rate for comparison with the real-time flow rate, thereby generating a cooling medium flow rate adjustment instruction. In this way, the system's adaptability and dynamic response capabilities can be improved, the stability and consistency of the cooling effect can be ensured, and the cooling conditions can be adjusted in a timely manner to avoid internal stress problems caused by inconsistent cooling rates.

[0048] Figure 6 FIG. 1 is a system block diagram of a metal product quenching process monitoring system according to an embodiment of the present application. Figure 6As shown, according to the metal product quenching process monitoring system 100 of the embodiment of the present application, it includes: a metal product quenching process data acquisition module 110, which is used to acquire a time sequence of real-time metal temperature acquired by a first temperature sensor, and acquire a time sequence of real-time cooling medium temperature and a time sequence of real-time cooling medium pressure acquired by a second temperature sensor and a pressure sensor; a metal product quenching data sequence encoding module 120, which is used to sequence encode the time sequence of real-time metal temperature, the time sequence of real-time cooling medium temperature and the time sequence of real-time cooling medium pressure respectively to obtain metal temperature time series characteristics, cooling medium temperature time series characteristics and cooling medium pressure time series characteristics. force timing characteristics; a cooling medium temperature-pressure characteristic combination module 130, used to combine the cooling medium temperature timing characteristics and the cooling medium pressure timing characteristics to obtain a cooling medium temperature-pressure timing combination characteristic; a quenching object-quenching medium two-way interactive response encoding module 140, used to perform a quenching object-quenching medium two-way interactive response encoding on the metal temperature timing characteristics and the cooling medium temperature-pressure timing combination characteristic to obtain a quenching object-quenching medium parameter timing interaction response characteristic; a cooling medium flow rate adjustment instruction generation module 150, used to generate a cooling medium flow rate adjustment instruction based on the quenching object-quenching medium parameter timing interaction response characteristic.

[0049] Here, those skilled in the art will appreciate that the specific operations of each step in the above-mentioned metal product quenching process monitoring system have been described in detail above. Figures 1 to 5 The present invention has been described in detail in the description of the method for monitoring the quenching treatment process of a metal product, and therefore, its repeated description will be omitted.

[0050] As described above, the metal product quenching process monitoring system 100 according to the embodiment of the present application can be implemented in various terminal devices. In one example, the metal product quenching process monitoring system 100 can be integrated into the terminal device as a software module and / or a hardware module. For example, the metal product quenching process monitoring system 100 can be a software module in the operating system of the terminal device, or can be an application developed for the terminal device; of course, the metal product quenching process monitoring system 100 can also be one of the many hardware modules of the terminal device.

[0051] In summary, a metal product quenching process monitoring system based on an embodiment of the present application is explained, which obtains the forged metal and performs preheating, quenching heating, quenching cooling, low-temperature tempering, and cleaning and rust prevention treatment on it to obtain the finished metal. Among them, quenching and cooling require obtaining the time queue of the real-time metal temperature, the real-time temperature of the cooling medium, and the real-time pressure of the cooling medium, and then the input data is implicitly encoded in time sequence, feature splicing, and bidirectional interactive response representation to automatically recommend the cooling medium flow rate for comparison with the real-time flow rate, thereby generating a cooling medium flow rate adjustment instruction. In this way, the system's adaptability and dynamic response capabilities can be improved, the stability and consistency of the cooling effect can be ensured, and the cooling conditions can be adjusted in a timely manner to avoid internal stress problems caused by inconsistent cooling rates.

Claims

1. A method for monitoring a quenching process of a metal product, comprising: Step S1: placing the forged metal into a heating furnace for preheating to obtain preheated metal; Step S2: transferring the preheated metal to a salt bath furnace or a controlled atmosphere furnace for quenching and heating to obtain heated metal; Step S3: quenching and cooling the heated metal to obtain cooled metal; Step S4: placing the cooled metal into a tempering furnace for low-temperature tempering to obtain tempered metal; Step S5: cleaning and rust-proofing the tempered metal to obtain finished metal; characterized in that step S3 includes: Acquire a time queue of the real-time metal temperature collected by the first temperature sensor, and acquire a time queue of the real-time temperature of the cooling medium and a time queue of the real-time pressure of the cooling medium collected by the second temperature sensor and the pressure sensor; Sequentially encoding the time queue of the real-time metal temperature, the time queue of the real-time cooling medium temperature, and the time queue of the real-time cooling medium pressure to obtain metal temperature timing characteristics, cooling medium temperature timing characteristics, and cooling medium pressure timing characteristics; Combining the cooling medium temperature time series characteristic and the cooling medium pressure time series characteristic to obtain a cooling medium temperature-pressure time series combined characteristic; Performing quenching object-quenching medium bidirectional interactive response coding on the metal temperature time series feature and the cooling medium temperature-pressure time series joint feature to obtain a quenching object-quenching medium parameter time series interactive response feature; Based on the quenching object-quenching medium parameter time series interactive response characteristics, a cooling medium flow rate adjustment instruction is generated.

2. The method for monitoring the quenching process of metal products according to claim 1, characterized in that: The time queue of the real-time metal temperature, the time queue of the real-time cooling medium temperature and the time queue of the real-time cooling medium pressure are respectively sequence-encoded to obtain metal temperature timing characteristics, cooling medium temperature timing characteristics and cooling medium pressure timing characteristics, including: the time queue of the real-time metal temperature, the time queue of the real-time cooling medium temperature and the time queue of the real-time cooling medium pressure are respectively sequence-encoded based on the LSTM model to obtain metal temperature timing characteristics implicit encoding vectors as the metal temperature timing characteristics, cooling medium temperature timing characteristics implicit encoding vectors as the cooling medium temperature timing characteristics and cooling medium pressure timing characteristics implicit encoding vectors as the cooling medium pressure timing characteristics.

3. The method for monitoring the quenching process of metal products according to claim 2, characterized in that: The cooling medium temperature time series characteristics and the cooling medium pressure time series characteristics are combined to obtain a cooling medium temperature-pressure time series joint characteristic, including: feature concatenating the cooling medium temperature time series characteristic implicit coding vector and the cooling medium pressure time series characteristic implicit coding vector to obtain a cooling medium temperature-pressure time series joint characteristic implicit coding vector as the cooling medium temperature-pressure time series joint characteristic.

4. The method for monitoring the quenching process of metal products according to claim 3, characterized in that: The metal temperature time series feature and the cooling medium temperature-pressure time series joint feature are encoded in a quenching object-quenching medium bidirectional interactive response to obtain a quenching object-quenching medium parameter time series interactive response feature, including: Performing homography projection transformation on the metal temperature time series feature implicit coding vector and the cooling medium temperature-pressure time series joint feature implicit coding vector to obtain a metal temperature time series homography projection coding vector and a cooling medium temperature-pressure time series joint homography projection coding vector; Based on the positive and negative quenching object-quenching medium parameter bidirectional attention balance field between the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector, feature modulation is performed on the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector to obtain the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector; The metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector are interactively responded to obtain a quenching object-quenching medium parameter time series interactive response coding vector as the quenching object-quenching medium parameter time series interactive response feature.

5. The method for monitoring the quenching process of metal products according to claim 4, characterized in that: Performing homography projection transformation on the metal temperature time series feature implicit coding vector and the cooling medium temperature-pressure time series joint feature implicit coding vector to obtain the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector, including: Using a metal temperature time series mapping homography matrix, a homography projection transformation is performed on the metal temperature time series feature implicit coding vector to obtain the metal temperature time series homography projection coding vector; The cooling medium temperature-pressure time series joint mapping homography matrix is ​​used to perform homography projection transformation on the cooling medium temperature-pressure time series joint feature implicit coding vector to obtain the cooling medium temperature-pressure time series joint homography projection coding vector.

6. The method for monitoring the quenching process of metal products according to claim 5, characterized in that: Based on the forward and reverse quenching object-quenching medium parameter bidirectional attention balance field between the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector, feature modulation is performed on the metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector to obtain the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector, including: Calculating the forward quenching object-quenching medium parameter attention score field of the metal temperature time series homography projection coding vector relative to the cooling medium temperature-pressure time series joint homography projection coding vector; Calculating the reverse quenching object-quenching medium parameter attention score field of the cooling medium temperature-pressure time series joint homography projection coding vector relative to the metal temperature time series homography projection coding vector; Constructing the forward and reverse quenching object-quenching medium parameter bidirectional attention balance field between the forward quenching object-quenching medium parameter attention score field and the reverse quenching object-quenching medium parameter attention score field; The metal temperature time series homography projection coding vector and the cooling medium temperature-pressure time series joint homography projection coding vector are respectively mapped to the positive and negative quenching object-quenching medium parameter bidirectional attention balance field to obtain the metal temperature time series homography projection attention modulation coding vector and the cooling medium temperature-pressure time series joint homography projection attention modulation coding vector.

7. The method for monitoring the quenching process of a metal product according to claim 6, characterized in that: Based on the quenching object-quenching medium parameter time sequence interactive response characteristics, a cooling medium flow rate adjustment instruction is generated, including: Based on the quenching object-quenching medium parameter time series interactive response encoding vector, an optimization result is obtained, and the optimization result is a recommended value of the cooling medium flow rate; The cooling medium flow rate adjustment instruction is generated based on a comparison between the cooling medium flow rate recommendation value and the cooling medium real-time flow rate value.

8. The method for monitoring the quenching process of metal products according to claim 7, characterized in that: Based on the quenching object-quenching medium parameter timing interaction response coding vector, an optimization result is obtained, including: inputting the quenching object-quenching medium parameter timing interaction response coding vector into a cooling medium flow rate optimization module based on a decoder to obtain the optimization result.

9. A metal product quenching process monitoring system, characterized in that: include: A metal product quenching treatment data acquisition module, used to acquire a time queue of real-time metal temperature acquired by a first temperature sensor, and acquire a time queue of real-time temperature of a cooling medium and a time queue of real-time pressure of a cooling medium acquired by a second temperature sensor and a pressure sensor; A metal product quenching data sequence encoding module, used to respectively perform sequence encoding on the time sequence of the real-time metal temperature, the time sequence of the real-time cooling medium temperature and the time sequence of the real-time cooling medium pressure to obtain metal temperature time series characteristics, cooling medium temperature time series characteristics and cooling medium pressure time series characteristics; A cooling medium temperature-pressure characteristic combination module, used for combining the cooling medium temperature time series characteristic and the cooling medium pressure time series characteristic to obtain a cooling medium temperature-pressure time series combination characteristic; A quenching object-quenching medium bidirectional interactive response encoding module is used to perform quenching object-quenching medium bidirectional interactive response encoding on the metal temperature time series characteristics and the cooling medium temperature-pressure time series joint characteristics to obtain a quenching object-quenching medium parameter time series interactive response characteristic; The cooling medium flow rate adjustment instruction generation module is used to generate a cooling medium flow rate adjustment instruction based on the quenching object-quenching medium parameter time series interactive response characteristics.

10. The metal product quenching process monitoring system according to claim 9, characterized in that: The metal product quenching data sequence encoding module is used to: respectively perform sequence encoding based on the LSTM model on the time queue of the real-time metal temperature, the time queue of the real-time cooling medium temperature and the time queue of the real-time cooling medium pressure to obtain an implicit encoding vector of the metal temperature time series feature as the metal temperature time series feature, an implicit encoding vector of the cooling medium temperature time series feature as the cooling medium temperature time series feature and an implicit encoding vector of the cooling medium pressure time series feature as the cooling medium pressure time series feature.

Images