A Visual Analysis System for Process Parameters in a Cast Ammunition Production Line

Abstract

This invention relates to the field of data processing technology, and in particular to a data visualization and analysis system for process parameters in a cast ammunition production line. The invention includes a data acquisition module, a data pre-analysis module, a data processing module, and an anomaly visualization module. The data acquisition module divides the ammunition casing contour into several annular regions, acquiring the liquid level rise rate, regional temperature values, and regional strain values ​​during the solidification stage of the cast ammunition. The data pre-analysis module determines the heat exchange characterization values ​​within each annular region. The data processing module categorizes the contours and constructs data correlations for the solidification stage of the cast ammunition. The anomaly visualization module determines the existence of abnormal solidification regions and displays anomaly warning signals. Thus, timely and accurate visual warnings for abnormal phenomena are achieved, improving the transparency and reliability of the production process.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a data visualization and analysis system for process parameters of a casting ammunition production line. Background Technology

[0002] With the continuous development of modern military technology, the performance requirements for ammunition are becoming increasingly stringent. As an important type of ammunition, the complexity and precision of its manufacturing process directly affect the quality and performance of the ammunition. Ammunition manufacturers face challenges in improving production efficiency, reducing costs, and ensuring product quality consistency. Visual analysis of process parameter data can help companies better understand the production process, identify potential problems, optimize and automate the production process, thereby improving their competitiveness. The casting process is prone to defects such as shrinkage cavities, porosity, and cracks. By adopting a sequential solidification process, the probability of these defects forming inside the projectile can be greatly reduced. However, traditional process parameter monitoring often relies on simple instrument displays, making it difficult to grasp the changes in complex process parameters in real time, and also unable to effectively analyze and process large amounts of data. Therefore, providing a method for real-time monitoring of process parameter changes and effective data analysis and processing is an urgent technical problem to be solved.

[0003] For example, Chinese Patent Publication No. CN113420448B discloses a digital twin system and method for the ammunition casting charge forming process, including: establishing a coupled mathematical model of charge quality and charge forming process parameters based on production data; using the coupled mathematical model to simulate and analyze the ammunition casting charge forming process to obtain simulation data; using big data technology to further process the production data and simulation data, and reconstructing the dataset by integrating measured data and simulation data; establishing a digital twin model; interconnecting virtual and real data of the ammunition casting charge forming production line; and using the digital twin model to analyze and predict the ammunition casting charge forming quality. This embodiment of the invention uses the digital twin model to predict the ammunition casting charge forming quality, realizing the control of the ammunition casting charge forming process through the digital twin system.

[0004] The following problems still exist in the existing technology:

[0005] Existing technologies cannot monitor relevant parameters in real time and effectively analyze and process data during the sequential solidification process of casting ammunition, nor can they provide timely and accurate visual early warnings for abnormal phenomena, thus affecting the transparency and reliability of the production process. Summary of the Invention

[0006] To address this, the present invention provides a data visualization and analysis system for process parameters in a casting ammunition production line. This system overcomes the limitations of existing technologies in the sequential solidification process of casting ammunition, which cannot monitor relevant parameters in real time, effectively analyze and process the data, or provide timely and accurate visual warnings for abnormal phenomena, thus affecting the transparency and reliability of the production process.

[0007] To achieve the above objectives, the present invention provides a data visualization and analysis system for process parameters of a casting ammunition production line, comprising:

[0008] The data acquisition module includes an image monitoring unit, a liquid level monitoring unit, a temperature measurement unit, and a strain monitoring unit. The image monitoring unit is used to acquire the outline of the ammunition casing and divide the outline of the ammunition casing into several annular regions along the height direction.

[0009] The liquid level monitoring unit is used to obtain the rate of liquid level rise of the coolant in each annular region during the solidification stage of the cast ammunition; the temperature measuring unit is used to monitor the regional temperature value of each annular region; and the strain monitoring unit is used to monitor the regional strain value of each annular region.

[0010] The data pre-analysis module, which is connected to the data acquisition module, is used to determine the heat exchange characterization values ​​in each annular region based on the liquid level rise rate, the regional temperature value, and the regional strain value.

[0011] A data processing module, connected to both the data acquisition module and the data pre-analysis module, is used to classify the contour of the ammunition casing into contour categories and construct data association relationships for the solidification stage of the cast ammunition based on the contour categories, including...

[0012] Used to determine the first correlation based on the heat exchange characterization value and the location information of each annular region;

[0013] Alternatively, it can be used to determine the second correlation based on the heat exchange characterization value and the process participation characterization value corresponding to each annular region;

[0014] An abnormality visualization module is connected to both the data acquisition module and the data processing module to determine whether an abnormal solidification area exists and, based on the determination result, whether to display an abnormality warning signal.

[0015] Furthermore, the data pre-analysis module is also used to determine the regional temperature change in each annular region, wherein,

[0016] The data pre-analysis module obtains the regional temperature values ​​at the first time and the second time respectively, and determines the absolute value of the difference between the regional temperature values ​​at the first time and the regional temperature values ​​at the second time as the regional temperature change of the annular region.

[0017] The first moment is the moment when the coolant level rises to the lower limit of the annular region along the height direction, and the second moment is the moment when the coolant level rises to the upper limit of the annular region along the height direction.

[0018] Furthermore, the data pre-analysis module is also used to determine the heat exchange characterization values ​​within each annular region, wherein,

[0019] The data pre-analysis module acquires the liquid level rise rate, regional temperature change, and regional strain value in each annular region, calculates the product of the regional temperature change and the regional strain value, and determines the ratio of the liquid level rise rate to the product as the heat exchange characterization value of the annular region.

[0020] Furthermore, the data processing module is used to classify contour categories, wherein,

[0021] If the annular region of the ammunition casing outline meets the outline division conditions, the data processing module will classify the annular region into a first outline category.

[0022] If the annular region of the ammunition casing outline does not meet the outline division conditions, the data processing module will classify the annular region into a second outline category.

[0023] Furthermore, the contour division condition is that the slope of any point on the contour surface of the annular region is zero;

[0024] The slope is determined based on the coordinates of points on the contour surface of the annular region in a preset coordinate system, which has a horizontal axis perpendicular to the horizontal plane and a vertical axis parallel to the horizontal plane.

[0025] Furthermore, the data processing module is used to construct data association relationships for the solidification stage of the cast ammunition based on the contour category, wherein,

[0026] If the annular region belongs to the first contour category, the data processing module determines the first correlation based on the heat exchange characterization value and the position information of each annular region;

[0027] If the annular region is a second contour category, the data processing module determines the second correlation based on the heat exchange characterization value and the process participation characterization value corresponding to each annular region.

[0028] Furthermore, the data processing module is also used to determine a first correlation, wherein,

[0029] The data processing module is used to obtain the heat exchange characterization value and the upper limit height value of each annular region, and the Pearson correlation coefficient between the heat exchange characterization value and the upper limit height value of each annular region sorted from low to high is determined as the first correlation.

[0030] Furthermore, the data processing module is also used to determine a second correlation, wherein,

[0031] The data processing module is used to obtain the heat exchange characterization value and process participation characterization quantity corresponding to each annular region, and to determine the Pearson correlation coefficient between the heat exchange characterization value and the process participation characterization quantity of the annular regions sorted from small to large by process participation characterization quantity as the second correlation.

[0032] The process-related characteristic quantity is the sum of the side lengths of the profile of the annular region along the radial direction.

[0033] Furthermore, the anomaly visualization module is used to determine whether there are abnormal solidification areas, wherein,

[0034] If the first correlation does not meet the first correlation condition, or the second correlation does not meet the second correlation condition, then the abnormality visualization module determines that there is an abnormal solidification area.

[0035] The first correlation condition is that the number of annular regions involved in the Pearson correlation coefficient calculation is positively correlated with the Pearson correlation coefficient;

[0036] The second correlation condition is that the process participation characterization quantity of the annular region involved in the calculation of the Pearson correlation coefficient is positively correlated with the Pearson correlation coefficient.

[0037] Furthermore, the anomaly visualization module is also used to determine whether to display an anomaly warning signal, wherein,

[0038] If an abnormal solidification area exists, the abnormality visualization module will determine to display an abnormality warning signal;

[0039] If no abnormal solidification area exists, the abnormality visualization module will determine not to display an abnormality warning signal.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention sets up a data acquisition module, a data pre-analysis module, a data processing module, and an anomaly visualization module. The data acquisition module acquires the outline of the ammunition casing and divides the outline of the ammunition casing into several annular regions along the height direction. It acquires the liquid level rise rate, regional temperature value, and regional strain value of the coolant in each annular region during the solidification stage of the cast ammunition. The data pre-analysis module determines the heat exchange characterization value in each annular region. The data processing module classifies the outline into categories and constructs the data correlation relationship of the solidification stage of the cast ammunition based on the outline categories. The anomaly visualization module determines whether there are abnormal solidification regions and displays anomaly warning signals. Thus, it realizes real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of cast ammunition, and timely and accurate visual warnings for abnormal phenomena, thereby improving the transparency and reliability of the production process.

[0041] In particular, this invention divides the ammunition casing contour into several annular regions along the height direction using a data acquisition module, acquiring the liquid level rise rate, temperature change, and strain value of each annular region. It is understood that the solidification stage of ammunition casting is typically sequential from bottom to top. Dividing the ammunition into annular regions by height allows for a clear understanding of the specific process of the solidification interface advancing from the bottom upwards, determining whether solidification proceeds according to the expected sequence and speed. Different annular regions have different heat dissipation conditions due to their different locations, resulting in varying liquid level rise rates. Furthermore, the strain conditions during solidification differ depending on the location of each annular region. The internal temperature of the ammunition continuously changes during solidification, and the temperature varies at different heights. Dividing the ammunition into annular regions and acquiring the temperature and strain values ​​of each region allows for accurate understanding of the internal temperature field distribution, aiding in the analysis of heat transfer phenomena during solidification. This, in turn, enables real-time monitoring of relevant parameters during the sequential solidification process of cast ammunition, improving the transparency and reliability of the production process.

[0042] In particular, this invention uses a data pre-analysis module to determine the heat exchange characterization values ​​of each annular region based on the liquid level rise rate, regional temperature change, and regional strain value. It can be understood that the liquid level rise rate reflects the solidification process, while the temperature change reflects the heat loss or absorption. The ratio of the two can intuitively show the rate of liquid level rise under a unit temperature change. During heat exchange, uneven temperature distribution will generate regional strain. When heat exchange is intense, the temperature gradient is large, and the strain value will increase accordingly. By calculating the heat exchange characterization values ​​of different annular regions, the intensity of heat exchange in each region can be compared. This invention determines the heat exchange characterization values ​​of each annular region through the liquid level rise rate, regional temperature change, and regional strain value, thereby enabling real-time monitoring of relevant parameters and effective data analysis and processing during the sequential solidification process of casting ammunition, improving the transparency and reliability of the production process.

[0043] In particular, this invention determines the contour category based on the ammunition casing contour using a data processing module. It can be understood that a preset coordinate system is established with the direction perpendicular to the horizontal plane as the horizontal axis and the direction parallel to the horizontal plane as the vertical axis. When the slope of any point within the annular region in the preset coordinate system is zero, it indicates that the surface contour of the annular region is smooth and the heat exchange rate of each part is relatively consistent. When the slope of several points within the annular region in the direction perpendicular to the horizontal plane is not zero, it indicates that the surface contour of the annular region is uneven, the heat exchange process is more complex, and the rate and direction of heat transfer will also differ. Processing the annular regions of the two contour categories separately can improve the reliability of the production process. This invention determines the contour category based on the ammunition casing contour using a data processing module, thereby enabling real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of cast ammunition, improving the transparency and reliability of the production process.

[0044] In particular, under the condition that the annular region is of the first contour category, the present invention determines the first correlation based on the heat exchange characterization value and the position information of each annular region. It can be understood that the surface contour of the annular region of the first contour category is flat, and the heat transfer path within the annular region is relatively simple. Determining the correlation between the heat exchange characterization value and the position information of each annular region can clearly show how the heat exchange situation of the annular region at different heights changes with position, and whether there is a trend of heat exchange intensity increasing or decreasing with increasing height. This helps to fully grasp the heat exchange distribution law of ammunition casting. Furthermore, it enables real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of casting ammunition, thereby improving the transparency and reliability of the production process.

[0045] In particular, under the condition that the annular region is of the second contour category, the present invention determines the second correlation based on the heat exchange characterization value and the process participation characterization quantity corresponding to each annular region. It can be understood that the surface contour of the annular region of the second contour category is uneven, the shape of the annular region is irregular, and the heat exchange situation is more complex. The heat exchange characterization value is closely related to the specific shape and size of the annular region. The sum of the side lengths of the profile represents the actual degree of participation of the annular region in heat exchange with the surrounding environment. The larger the sum of the side lengths, the longer the boundary of heat exchange between the region and the outside world or other regions, and the higher the degree of participation in heat exchange. Determining the correlation based on the heat exchange characterization value and the process participation characterization quantity corresponding to each annular region can more realistically reflect the actual situation of heat transfer and exchange during the ammunition casting process, which helps to deeply understand and analyze the entire thermal process. Thus, it realizes the real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of casting ammunition, thereby improving the transparency and reliability of the production process.

[0046] In particular, this invention uses an anomaly visualization module to determine the existence of abnormal solidification areas and, based on the determination result, decides whether to display an anomaly warning signal. It is understood that the more annular regions involved in the Pearson correlation coefficient calculation, the more comprehensive the heat exchange situation is covered, and the stronger the representativeness of the overall heat exchange and solidification trend. The Pearson correlation coefficient between the heat exchange characterization value and height more accurately reflects the correlation between the two. In normal ammunition casting processes, as the number of annular regions at different heights increases, a positive correlation is shown with the Pearson correlation coefficient. The greater the amount of process characterization, the greater the sum of the side lengths. The higher the degree of heat exchange, the closer the relationship should be with the heat exchange characterization value. In the normal ammunition casting process, the process participation characterization quantity of the annular region involved in the calculation of the Pearson correlation coefficient should be positively correlated with the Pearson correlation coefficient. If there is an abnormal solidification area, the abnormality visualization module displays an abnormality warning signal, which makes it easier for operators to detect abnormalities in time, improve the level of intelligent industrial production, and thus realize the real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of ammunition casting. It can provide timely and accurate visual warnings for abnormal phenomena, thereby improving the transparency and reliability of the production process. Attached Figure Description

[0047] Figure 1 This is a functional block diagram of the data visualization and analysis system for process parameters of the casting ammunition production line according to an embodiment of the present invention;

[0048] Figure 2 This is a flowchart illustrating the logic of the data processing module classifying contour categories in an embodiment of the present invention.

[0049] Figure 3A logical flowchart illustrating the data association relationships for the solidification stage of cast ammunition in the data processing module of this embodiment of the invention;

[0050] Figure 4 This is a flowchart illustrating the logic of the abnormal visual module in this embodiment of the invention for determining whether an abnormal solidification area exists. Detailed Implementation

[0051] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0052] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0053] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0054] Please see Figure 1 The diagram shown is a functional block diagram of the data visualization and analysis system for process parameters of a casting ammunition production line according to an embodiment of the present invention. The data visualization and analysis system for process parameters of a casting ammunition production line according to the present invention includes:

[0055] The data acquisition module includes an image monitoring unit, a liquid level monitoring unit, a temperature measurement unit, and a strain monitoring unit. The image monitoring unit is used to acquire the outline of the ammunition casing and divide the outline of the ammunition casing into several annular regions along the height direction.

[0056] Specifically, the division height of the annular area can be set by those skilled in the art based on the accuracy requirements of the process monitoring of the casting ammunition production line. The higher the accuracy requirement, the smaller the division height. Preferably, the division height can be 1 cm, divided into 20 annular areas.

[0057] The liquid level monitoring unit is used to obtain the rate of liquid level rise of the coolant in each annular region during the solidification stage of the cast ammunition; the temperature measuring unit is used to monitor the regional temperature value of each annular region; and the strain monitoring unit is used to monitor the regional strain value of each annular region.

[0058] Specifically, solidification in the casting production line process includes sequential solidification, slow cooling, and solidification. Sequential solidification is a process in which the melt gradually solidifies by controlling the cooling rate and sequence. Slow cooling is a process in which the ammunition is cooled by slowly reducing the temperature. Solidification is a process in which the ammunition is completely solidified by further controlling the temperature and time. It is widely used in the casting production line process and will not be elaborated here.

[0059] Specifically, the present invention does not limit the specific structure of the image monitoring unit. Preferably, it can be an industrial camera equipped with image processing software. The industrial camera is used to acquire images of the ammunition casing, and the outline of the ammunition casing is obtained through an edge algorithm, thereby dividing several annular regions. Further details are omitted here.

[0060] Specifically, the present invention does not limit the specific structure of the liquid level monitoring unit. Preferably, it can be a laser liquid level sensor, which determines the position of the liquid level by emitting a laser beam onto the surface of the coolant. Further details will not be provided here.

[0061] Specifically, the present invention does not limit the specific structure of the temperature measuring unit. Preferably, it can be a temperature sensor to obtain the regional temperature values ​​of several annular areas, which will not be elaborated here.

[0062] Specifically, the present invention does not limit the specific structure of the strain monitoring unit. Preferably, it can be a strain sensor to obtain the regional strain values ​​of several annular regions, which will not be elaborated here.

[0063] The data pre-analysis module, which is connected to the data acquisition module, is used to determine the heat exchange characterization values ​​in each annular region based on the liquid level rise rate, the regional temperature value, and the regional strain value.

[0064] Specifically, the present invention does not limit the specific structure of the data pre-analysis module. Preferably, it can be a microprocessor that determines the heat exchange characterization value based on the liquid level rise rate and the regional temperature value. This will not be elaborated here.

[0065] A data processing module, connected to both the data acquisition module and the data pre-analysis module, is used to classify the contour of the ammunition casing into contour categories and construct data association relationships for the solidification stage of the cast ammunition based on the contour categories, including...

[0066] Used to determine the first correlation based on the heat exchange characterization value and the location information of each annular region;

[0067] Alternatively, it can be used to determine the second correlation based on the heat exchange characterization value and the process participation characterization value corresponding to each annular region;

[0068] Specifically, the present invention does not limit the specific structure of the data processing module. Preferably, it can be a field-programmable logic unit (FPGA) to classify the contour of the ammunition casing into contour categories and to construct the data association relationship of the solidification stage of the cast ammunition. Further details are omitted here.

[0069] An abnormality visualization module is connected to both the data acquisition module and the data processing module to determine whether an abnormal solidification area exists and, based on the determination result, whether to display an abnormality warning signal.

[0070] Specifically, the present invention does not limit the specific structure of the abnormality visualization module. Preferably, it can be a processor used in a computer connected to a display screen. The processor determines whether there is an abnormal solidification area and determines whether to display an abnormality warning signal on the display screen based on the determination result. Further details are omitted here.

[0071] Specifically, the data pre-analysis module is also used to determine the regional temperature change in each annular region, wherein,

[0072] The data pre-analysis module obtains the regional temperature values ​​at the first time and the second time respectively, and determines the absolute value of the difference between the regional temperature values ​​at the first time and the regional temperature values ​​at the second time as the regional temperature change of the annular region.

[0073] The first moment is the moment when the coolant level rises to the lower limit of the annular region along the height direction, and the second moment is the moment when the coolant level rises to the upper limit of the annular region along the height direction.

[0074] Specifically, this invention uses a data acquisition module to divide the ammunition casing outline into several annular regions along the height direction, acquiring the liquid level rise rate, temperature change, and strain value of each annular region. It is understood that the solidification stage of ammunition casting is typically sequential from bottom to top. Dividing the ammunition into annular regions by height allows for a clear understanding of the specific process of the solidification interface advancing from the bottom upwards, determining whether solidification proceeds according to the expected sequence and speed. Different annular regions have different heat dissipation conditions due to their different locations, resulting in varying liquid level rise rates. Furthermore, the strain conditions during solidification differ depending on the location of each annular region. The internal temperature of the ammunition continuously changes during solidification, and the temperature varies at different heights. Dividing the ammunition into annular regions and acquiring the temperature and strain values ​​of each region allows for accurate understanding of the internal temperature field distribution, facilitating the analysis of heat transfer phenomena during solidification. This enables real-time monitoring of relevant parameters during the sequential solidification process of cast ammunition, improving the transparency and reliability of the production process.

[0075] Specifically, the data pre-analysis module is also used to determine the heat exchange characterization values ​​within each annular region, wherein,

[0076] The data pre-analysis module acquires the liquid level rise rate, regional temperature change, and regional strain value in each annular region, calculates the product of the regional temperature change and the regional strain value, and determines the ratio of the liquid level rise rate to the product as the heat exchange characterization value of the annular region.

[0077] Specifically, this invention uses a data pre-analysis module to determine the heat exchange characterization values ​​of each annular region based on the liquid level rise rate, regional temperature change, and regional strain value. It can be understood that the liquid level rise rate reflects the solidification process, while the temperature change reflects the heat loss or absorption. The ratio of the two can intuitively show the rate of liquid level rise under a unit temperature change. During heat exchange, uneven temperature distribution will generate regional strain. When heat exchange is intense, the temperature gradient is large, and the strain value will increase accordingly. By calculating the heat exchange characterization values ​​of different annular regions, the intensity of heat exchange in each region can be compared. This invention determines the heat exchange characterization values ​​of each annular region through the liquid level rise rate, regional temperature change, and regional strain value, thereby enabling real-time monitoring of relevant parameters and effective data analysis and processing during the sequential solidification process of casting ammunition, improving the transparency and reliability of the production process.

[0078] Please see Figure 2 As shown, this is a logical flowchart of the data processing module for classifying contour categories according to an embodiment of the present invention. The data processing module is used to classify contour categories, wherein...

[0079] If the annular region of the ammunition casing outline meets the outline division conditions, the data processing module will classify the annular region into a first outline category.

[0080] If the annular region of the ammunition casing outline does not meet the outline division conditions, the data processing module will classify the annular region into a second outline category.

[0081] Specifically, the contour division condition is that the slope of any point on the contour surface of the annular region is zero;

[0082] The slope is determined based on the coordinates of points on the contour surface of the annular region in a preset coordinate system, which has a horizontal axis perpendicular to the horizontal plane and a vertical axis parallel to the horizontal plane.

[0083] Specifically, this invention uses a data processing module to determine the contour category based on the ammunition casing profile. This means that a preset coordinate system is established with the direction perpendicular to the horizontal plane as the horizontal axis and the direction parallel to the horizontal plane as the vertical axis. When the slope of any point within the annular region is zero in the preset coordinate system, it indicates that the surface contour of the annular region is smooth and the heat exchange rate of each part is relatively consistent. When the slope of several points within the annular region in the direction perpendicular to the horizontal plane is not zero, it indicates that the surface contour of the annular region is uneven, the heat exchange process is more complex, and the rate and direction of heat transfer will also differ. Processing the annular regions of the two contour categories separately can improve the reliability of the production process. This invention, by determining the contour category based on the ammunition casing profile through a data processing module, enables real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of cast ammunition, thereby improving the transparency and reliability of the production process.

[0084] Please see Figure 3 The diagram shown is a logical flowchart illustrating how the data processing module constructs data associations for the solidification stage of cast ammunition according to an embodiment of the present invention. The data processing module is used to construct data associations for the solidification stage of cast ammunition based on the contour categories.

[0085] If the annular region belongs to the first contour category, the data processing module determines the first correlation based on the heat exchange characterization value and the position information of each annular region;

[0086] If the annular region is a second contour category, the data processing module determines the second correlation based on the heat exchange characterization value and the process participation characterization value corresponding to each annular region.

[0087] Specifically, under the condition that the annular region is of the first contour category, the present invention determines the first correlation based on the heat exchange characterization value and the position information of each annular region. It can be understood that the surface contour of the annular region of the first contour category is flat, and the heat transfer path within the annular region is relatively simple. Determining the correlation between the heat exchange characterization value and the position information of each annular region can clearly show how the heat exchange situation of the annular region at different heights changes with position, and whether there is a trend of heat exchange intensity increasing or decreasing with increasing height. This helps to fully grasp the heat exchange distribution law of ammunition casting. Furthermore, it enables real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of casting ammunition, thereby improving the transparency and reliability of the production process.

[0088] Specifically, under the condition that the annular region is of the second contour category, this invention determines the second correlation based on the heat exchange characterization value and the process participation characterization quantity corresponding to each annular region. It can be understood that the surface contour of the annular region of the second contour category is uneven, the shape of the annular region is irregular, and the heat exchange situation is more complex. The heat exchange characterization value is closely related to the specific shape and size of the annular region. The sum of the side lengths of the profile represents the actual degree of participation of the annular region in heat exchange with the surrounding environment. The larger the sum of the side lengths, the longer the boundary of heat exchange between the region and the outside world or other regions, and the higher the degree of participation in heat exchange. Determining the correlation based on the heat exchange characterization value and the process participation characterization quantity corresponding to each annular region can more realistically reflect the actual situation of heat transfer and exchange during the ammunition casting process, which helps to deeply understand and analyze the entire thermal process. Thus, it realizes the real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of casting ammunition, improving the transparency and reliability of the production process.

[0089] Specifically, the data processing module is further used to determine a first correlation, wherein,

[0090] The data processing module is used to obtain the heat exchange characterization value and the upper limit height value of each annular region, and the Pearson correlation coefficient between the heat exchange characterization value and the upper limit height value of each annular region sorted from low to high is determined as the first correlation.

[0091] Specifically, the data processing module is also used to determine a second correlation, wherein,

[0092] The data processing module is used to obtain the heat exchange characterization value and process participation characterization quantity corresponding to each annular region, and to determine the Pearson correlation coefficient between the heat exchange characterization value and the process participation characterization quantity of the annular regions sorted from small to large by process participation characterization quantity as the second correlation.

[0093] The process-related characteristic quantity is the sum of the side lengths of the profile of the annular region along the radial direction.

[0094] Please see Figure 4 The diagram shown is a flowchart illustrating the logic of the anomaly visualization module in this invention for determining the existence of an abnormal solidification region. The anomaly visualization module is used to determine the existence of an abnormal solidification region.

[0095] If the first correlation does not meet the first correlation condition, or the second correlation does not meet the second correlation condition, then the abnormality visualization module determines that there is an abnormal solidification area.

[0096] If the first correlation meets the first correlation condition, and the second correlation meets the second correlation condition, then the abnormality visualization module determines that there is no abnormal solidification area.

[0097] The first correlation condition is that the number of annular regions involved in the Pearson correlation coefficient calculation is positively correlated with the Pearson correlation coefficient;

[0098] The second correlation condition is that the process participation characterization quantity of the annular region involved in the calculation of the Pearson correlation coefficient is positively correlated with the Pearson correlation coefficient.

[0099] Example:

[0100] Under the first contour category condition, the dimensionless upper limit height values ​​of each annular region are h1=1, h2=2, h3=3, h4=4, h5=5, h6=6, h7=7, h8=8, h9=9, and the corresponding dimensionless heat exchange characterization values ​​are C1=0.1, C2=0.16, C3=0.19, C4=0.24, C5=0.3, C6=0.35, C7=0.41, C8=0.5, C9=0.75. The Pearson correlation coefficient r between the heat exchange characterization values ​​and the upper limit height values ​​of each annular region, sorted from low to high, is calculated according to the following formula. The values ​​of the heat exchange characterization values ​​and the upper limit height values ​​are used in the calculation of the Pearson correlation coefficient r. The calculation method of the Pearson correlation coefficient is existing technology and will not be elaborated here.

[0101]

[0102] in, When r7 = 0.982 and r8 = 0.987, the number of annular regions participating in the Pearson correlation coefficient calculation is positively correlated with the Pearson correlation coefficient, and the anomaly visualization module determines that there are no abnormal solidification regions. When r7 = 0.982, r8 = 0.987, and r9 = 0.979, the number of annular regions participating in the Pearson correlation coefficient calculation is not positively correlated with the Pearson correlation coefficient, and the anomaly visualization module determines that there are abnormal solidification regions.

[0103] Under the second contour category condition, the dimensionless process participation characterization quantities of each annular region are z1=10, z2=15, z3=20, z4=25, z5=30, z6=35, z7=40, z8=45, z9=50, and the corresponding dimensionless heat exchange characterization values ​​are C1=0.1, C2=0.17, C3=0.2, C4=0.29, C5=0.33, C6=0.38, C7=0.42, C8=0.45, C9=0.43. The Pearson correlation coefficient r between the heat exchange characterization value and the process participation characterization quantity of the annular regions sorted from smallest to largest is calculated according to the following formula. The numerical values ​​of the heat exchange characterization value and the numerical values ​​of the process participation characterization quantity are used in the calculation of the Pearson correlation coefficient r.

[0104]

[0105] in, When r7 = 0.988 and r8 = 0.989, the process participation characteristics of the annular region involved in the Pearson correlation coefficient calculation are positively correlated with the Pearson correlation coefficient, and the anomaly visualization module determines that there is no abnormal solidification region. When r7 = 0.988, r8 = 0.989, and r9 = 0.987, the number of annular regions involved in the Pearson correlation coefficient calculation is not positively correlated with the Pearson correlation coefficient, and the anomaly visualization module determines that there is an abnormal solidification region.

[0106] Specifically, the anomaly visualization module is also used to determine whether to display an anomaly warning signal, wherein,

[0107] If an abnormal solidification area exists, the abnormality visualization module will determine to display an abnormality warning signal;

[0108] If no abnormal solidification area exists, the abnormality visualization module will determine not to display an abnormality warning signal.

[0109] Specifically, this invention uses an anomaly visualization module to determine the existence of abnormal solidification areas and, based on the determination result, decides whether to display an anomaly warning signal. It is understood that the more annular regions involved in the Pearson correlation coefficient calculation, the more comprehensive the heat exchange situation is covered, and the stronger the representativeness of the overall heat exchange and solidification trends. The Pearson correlation coefficient between the heat exchange characterization value and height more accurately reflects the correlation between the two. In normal ammunition casting processes, as the number of annular regions at different heights increases, a positive correlation is shown with the Pearson correlation coefficient. The larger the amount of process characterization, the larger the sum of the side lengths. The higher the degree of heat exchange, the closer the relationship should be with the heat exchange characterization value. In the normal ammunition casting process, the process participation characterization quantity in the annular region involved in the Pearson correlation coefficient calculation should be positively correlated with the Pearson correlation coefficient. If there is an abnormal solidification area, the abnormality visualization module displays an abnormality warning signal, which makes it easier for operators to detect abnormalities in time, improves the level of intelligent industrial production, and thus realizes the real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of ammunition casting. It provides timely and accurate visual warnings for abnormal phenomena, improving the transparency and reliability of the production process.

[0110] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0111] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A visualization and analysis system for process parameters in a casting ammunition production line, characterized in that, include: The data acquisition module includes an image monitoring unit, a liquid level monitoring unit, a temperature measurement unit, and a strain monitoring unit. The image monitoring unit is used to acquire the outline of the ammunition casing and divide the outline of the ammunition casing into several annular regions along the height direction. The liquid level monitoring unit is used to obtain the rate of liquid level rise of the coolant in each annular region during the solidification stage of the cast ammunition; the temperature measuring unit is used to monitor the regional temperature value of each annular region; and the strain monitoring unit is used to monitor the regional strain value of each annular region. The data pre-analysis module, which is connected to the data acquisition module, is used to determine the heat exchange characterization values ​​in each annular region based on the liquid level rise rate, the regional temperature value, and the regional strain value. A data processing module, connected to both the data acquisition module and the data pre-analysis module, is used to classify the contour of the ammunition casing into contour categories and construct data association relationships for the solidification stage of the cast ammunition based on the contour categories, including... This is used to determine a first correlation based on the heat exchange characterization value and the position information of each annular region, using annular regions as the first contour category; Alternatively, it can be used to determine the second correlation based on the annular region as the second contour category, according to the heat exchange characterization value and the process participation characterization value corresponding to each annular region; If the annular region of the ammunition casing outline meets the outline division conditions, the data processing module will classify the annular region into a first outline category. If the annular region of the ammunition casing outline does not meet the outline division conditions, the data processing module will classify the annular region into a second outline category. The contour division condition is that the slope of any point on the contour surface of the annular region is zero. An anomaly visualization module is connected to both the data acquisition module and the data processing module. It is used to determine whether an abnormal solidification area exists based on a first correlation or a second correlation, and to determine whether to display an anomaly warning signal based on the determination result.

2. The data visualization and analysis system for process parameters of the casting ammunition production line according to claim 1, characterized in that, The data pre-analysis module is also used to determine the regional temperature change in each annular region, wherein... The data pre-analysis module obtains the regional temperature values ​​at the first time and the second time respectively, and determines the absolute value of the difference between the regional temperature values ​​at the first time and the regional temperature values ​​at the second time as the regional temperature change of the annular region. The first moment is the moment when the coolant level rises to the lower limit of the annular region along the height direction, and the second moment is the moment when the coolant level rises to the upper limit of the annular region along the height direction.

3. The data visualization and analysis system for process parameters of the casting ammunition production line according to claim 2, characterized in that, The data pre-analysis module is also used to determine the heat exchange characterization values ​​within each annular region, wherein... The data pre-analysis module acquires the liquid level rise rate, regional temperature change, and regional strain value in each annular region, calculates the product of the regional temperature change and the regional strain value, and determines the ratio of the liquid level rise rate to the product as the heat exchange characterization value of the annular region.

4. The data visualization and analysis system for process parameters of the casting ammunition production line according to claim 3, characterized in that, The slope is determined based on the coordinates of points on the contour surface of the annular region in a preset coordinate system, which has a horizontal axis perpendicular to the horizontal plane and a vertical axis parallel to the horizontal plane.

5. The data visualization and analysis system for process parameters of the casting ammunition production line according to claim 4, characterized in that, The data processing module is further used to determine a first correlation, wherein, The data processing module is used to obtain the heat exchange characterization value and the upper limit height value of each annular region, and the Pearson correlation coefficient between the heat exchange characterization value and the upper limit height value of each annular region sorted from low to high is determined as the first correlation.

6. The data visualization and analysis system for process parameters of the casting ammunition production line according to claim 5, characterized in that, The data processing module is further used to determine a second correlation, wherein, The data processing module is used to obtain the heat exchange characterization value and process participation characterization quantity corresponding to each annular region, and to determine the Pearson correlation coefficient between the heat exchange characterization value and the process participation characterization quantity of the annular regions sorted from small to large by process participation characterization quantity as the second correlation. The process-related characteristic quantity is the sum of the side lengths of the profile of the annular region along the radial direction.

7. The data visualization and analysis system for process parameters of the casting ammunition production line according to claim 6, characterized in that, The anomaly visualization module is used to determine whether there are abnormal solidification areas, wherein... If the first correlation does not meet the first correlation condition, or the second correlation does not meet the second correlation condition, then the abnormality visualization module determines that there is an abnormal solidification area. The first correlation condition is that the number of annular regions involved in the Pearson correlation coefficient calculation is positively correlated with the Pearson correlation coefficient; The second correlation condition is that the process participation characterization quantity of the annular region involved in the calculation of the Pearson correlation coefficient is positively correlated with the Pearson correlation coefficient.

8. The data visualization and analysis system for process parameters of the casting ammunition production line according to claim 7, characterized in that, The anomaly visualization module is also used to determine whether to display an anomaly warning signal, wherein, If an abnormal solidification area exists, the abnormality visualization module will determine to display an abnormality warning signal; If no abnormal solidification area exists, the abnormality visualization module will determine not to display an abnormality warning signal.

Images