Casting ammunition production line process parameter data visual analysis system

Abstract

The invention relates to the technical field of data processing, in particular to a fusion casting ammunition production line process parameter data visual analysis system which is provided with a data acquisition module, a data pre-analysis module, a data processing module and an abnormity visual module. The liquid level rising rate, the regional temperature value and the regional strain value of the fusion casting ammunition solidification stage are obtained, the heat exchange characterization value in each annular region is determined through the data pre-analysis module, contour categories are divided through the data processing module, and the data association relationship of the fusion casting ammunition solidification stage is constructed. Whether the abnormal solidification area exists or not is judged through the abnormal visual module, and the abnormal early warning signal is displayed, so that visual early warning can be timely and accurately performed on the abnormal phenomenon, and the transparency and reliability of the production process are improved.

Description

Technical Field

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

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

[0003] For example, China Patent Authorization Announcement No.: CN113420448B, the invention discloses a digital twin system and method for the ammunition smelting charge molding process, including: establishing a coupling mathematical model of charge quality and charge molding process parameters based on production data, using the coupling mathematical model to simulate and analyze the ammunition smelting charge molding process to obtain simulation data; using big data technology to deeply process the production data and simulation data, integrating the measured data and the simulation data to reconstruct the data set; establishing a digital twin model; interconnecting the virtual and real data of the ammunition smelting charge molding production line; using the digital twin model to analyze and predict the quality of ammunition smelting charge molding. The embodiment of the invention uses the digital twin model to predict the quality of ammunition smelting charge molding, and realizes the control of the ammunition smelting charge molding process through the digital twin system.

[0004] The following problems also exist in the prior art:

[0005] During the sequential solidification process of molten ammunition, existing technologies cannot monitor relevant parameters in real time and effectively analyze and process data. They cannot provide timely and accurate visual warnings for abnormal phenomena, which affects the transparency and reliability of the production process. Summary of the Invention

[0006] To this end, the present invention provides a data visualization analysis system for process parameters of a molten-cast ammunition production line, which is used to overcome the problems in the prior art of being unable to monitor relevant parameters in real time and effectively analyze and process data during the sequential solidification process of the molten-cast ammunition, and unable to provide timely and accurate visual warnings for abnormal phenomena, thereby affecting the transparency and reliability of the production process.

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

[0008] a data acquisition module comprising an image monitoring unit, a liquid level monitoring unit, a temperature measurement unit, and a strain monitoring unit, wherein the image monitoring unit is used to obtain the ammunition casing contour and divide the ammunition casing contour into a plurality of annular regions along the height direction;

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

[0010] a data pre-analysis module connected to the data acquisition module, configured to determine a heat exchange characteristic value within each annular region based on the liquid level rising rate, the regional temperature value, and the regional strain value;

[0011] A data processing module, which is connected to the data acquisition module and the data pre-analysis module respectively, is used to divide the ammunition shell contour into contour categories and construct a data association relationship of the solidification stage of the cast ammunition according to the contour categories, including:

[0012] for determining a first correlation based on the heat exchange characterization value and position information of each annular area;

[0013] Or, for determining a second correlation based on the heat exchange characterization value and the process participation characterization amount corresponding to each annular area;

[0014] The abnormal visual module is connected to the data acquisition module and the data processing module respectively, and is used to determine whether there is an abnormal coagulation area and whether to display an abnormal warning signal according to the determination result.

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

[0016] The data pre-analysis module obtains the regional temperature value at the first moment and the regional temperature value at the second moment respectively, and determines the absolute value of the difference between the regional temperature value at the first moment and the regional temperature value at the second moment as the regional temperature change of the annular area;

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

[0018] Furthermore, the data pre-analysis module is also used to determine the heat exchange characteristic value in each annular area, wherein:

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

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

[0021] If the annular region of the ammunition casing contour meets the contour classification condition, the data processing module classifies the annular region into a first contour category;

[0022] If the annular region of the ammunition casing contour does not meet the contour division condition, the data processing module divides the annular region into a second contour 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 according to the coordinates of a point on the contour surface of the annular area in a preset coordinate system, wherein the preset coordinate system has a direction perpendicular to a horizontal plane as a horizontal axis and a direction parallel to the horizontal plane as a vertical axis.

[0025] Furthermore, the data processing module is used to construct a data association relationship of the solidification stage of the cast ammunition according to the profile category, wherein:

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

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

[0028] Furthermore, the data processing module is further configured 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 area corresponding to each annular area, and determine the Pearson correlation coefficient of the heat exchange characterization value and the upper limit height value of the area corresponding to each annular area sorted from low to high in height as the first correlation.

[0030] Furthermore, the data processing module is further configured to determine a second correlation, wherein:

[0031] The data processing module is used to obtain the heat exchange characterization value and the process participation characterization value corresponding to each annular area, and determine the Pearson correlation coefficient of the heat exchange characterization value and the process participation characterization value corresponding to the annular areas sorted from small to large according to the process participation characterization value as the second correlation;

[0032] The process participation characterization quantity is the sum of the side lengths of the cross-section contour of the annular region along the radial direction.

[0033] Furthermore, the abnormal visual module is used to determine whether there is an abnormal coagulation area, wherein:

[0034] If the first correlation does not meet the first correlation condition, or the second correlation does not meet the second correlation condition, the abnormal visualization module determines that an abnormal coagulation area exists;

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

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

[0037] Furthermore, the abnormal visual module is also used to determine whether to display an abnormal warning signal, wherein:

[0038] If there is an abnormal coagulation area, the abnormal visual module determines to display an abnormal warning signal;

[0039] If there is no abnormal coagulation area, the abnormal visual module determines not to display the abnormal warning signal.

[0040] Compared with the prior art, the beneficial effect of the present invention lies in that, the present invention is provided with a data acquisition module, a data pre-analysis module, a data processing module, and an abnormal visualization module, the data acquisition module is used to obtain the ammunition shell contour and divide the ammunition shell contour into several annular areas along the height direction, the liquid level rise rate, regional temperature value and regional strain value of the coolant in each annular area during the solidification stage of the molten-cast ammunition are obtained, the data pre-analysis module is used to determine the heat exchange characterization value of each annular area, the data processing module is used to divide the contour categories, and the data correlation relationship of the solidification stage of the molten-cast ammunition is constructed according to the contour categories, the abnormal visualization module is used to determine whether there is an abnormal solidification area, and an abnormal warning signal is displayed, thereby realizing real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of the molten-cast ammunition, timely and accurate visual warning of abnormal phenomena, and improving the transparency and reliability of the production process.

[0041] In particular, the present invention divides the ammunition casing contour into several annular areas along the height direction through a data acquisition module, and obtains the liquid level rise rate, regional temperature change and regional strain value of the annular area. It can be understood that the solidification stage of ammunition casting is usually sequential solidification from bottom to top. Dividing the ammunition into annular areas according to height can clearly understand the specific process of the solidification interface advancing from the bottom to the top, and judge whether the solidification proceeds in the expected order and speed. Due to the different positions of different annular areas, there are differences in heat dissipation conditions, and the cooling liquid level rise rate will also be different. At the same time, the positions of each annular area are different, and the strain conditions during the solidification process are also different. The internal temperature of the ammunition changes continuously during the solidification process, and the temperature is different at different heights. Dividing the annular areas and obtaining the temperature values and regional strain values of each area can accurately grasp the temperature field distribution inside the ammunition, which is helpful for analyzing the heat transfer phenomenon during the solidification process. Furthermore, it realizes real-time monitoring of relevant parameters during the sequential solidification process of molten cast ammunition, improving the transparency and reliability of the production process.

[0042] In particular, the present invention determines the heat exchange characterization value in each annular area according to the liquid level rising rate, the regional temperature change and the regional strain value through the data pre-analysis module. It can be understood that the liquid level rising rate reflects the solidification process, and the temperature change reflects the heat loss or absorption. The ratio of the two can intuitively reflect the speed of liquid level rise under unit temperature change. During the heat exchange process, regional strain will be generated due to the uneven temperature distribution. When the heat exchange is intense, the temperature gradient is large and the strain value will also increase accordingly. By calculating the heat exchange characterization values of different annular areas, the intensity of heat exchange in each area can be compared. The present invention determines the heat exchange characterization value in each annular area through the liquid level rising rate, the regional temperature change and the regional strain value, thereby realizing real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of molten ammunition, thereby improving the transparency and reliability of the production process.

[0043] In particular, the present invention determines the contour category according to the contour of the ammunition shell through the 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 in the annular area in the preset coordinate system is zero, it represents that the surface contour of the annular area is flat and the heat exchange rate of each part is relatively consistent. When the slope of several points in the annular area in the direction perpendicular to the horizontal plane is not zero, it represents that the surface contour of the annular area is uneven, the heat exchange process will be more complicated, and the rate and direction of heat transfer will also be different. Subsequent data processing of the annular areas of the two contour categories can improve the reliability of the production process. The present invention determines the contour category according to the contour of the ammunition shell through the data processing module, and further realizes real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of the molten ammunition, thereby improving the transparency and reliability of the production process.

[0044] In particular, the present invention determines the first correlation based on the heat exchange characterization value and the position information of each annular area under the condition that the annular area is of the first contour category. It can be understood that the surface contour of the annular area of the first contour category is smooth, and the heat transfer path in the annular area is relatively simple. By determining the correlation between the two based on the heat exchange characterization value and the position information of each annular area, it is possible to clearly understand how the heat exchange conditions of the annular areas at different heights change with position, whether there is a trend that the heat exchange intensity increases or decreases with increasing height, etc., which helps to fully grasp the heat exchange distribution law of ammunition casting, and further, realize real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of the cast ammunition, thereby improving the transparency and reliability of the production process.

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

[0046] In particular, the present invention determines whether there is an abnormal solidification area through the abnormal visual module, and determines whether to display an abnormal warning signal based on the determination result. It can be understood that the more annular areas involved in the calculation of the Pearson correlation coefficient, the more comprehensive the heat exchange situation 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 the height can more accurately reflect the correlation between the two. In the normal ammunition melting process, as the number of annular areas at different heights increases, it shows a positive correlation with the Pearson correlation coefficient. The larger the process participation characterization amount, the larger the sum of the side lengths, and the participation The higher the degree of heat exchange, the closer the relationship with the heat exchange characterization value should be. In the normal ammunition melting and casting process, the process participation characterization quantity of the annular area participating in the Pearson correlation coefficient calculation should be positively correlated with the Pearson correlation coefficient. If there is an abnormal solidification area, the abnormal visual module will display an abnormal warning signal to facilitate operators to detect abnormalities in time and improve the level of intelligent industrial production. Furthermore, in the sequential solidification process of the molten ammunition, real-time monitoring of relevant parameters and effective analysis and processing of data are achieved, and timely and accurate visual warnings are given for abnormal phenomena, thereby improving the transparency and reliability of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0048] Figure 2 A logical flow chart for classifying profiles into categories by a data processing module according to an embodiment of the present invention;

[0049] Figure 3A logic flow chart for constructing data association relationships during the solidification phase of molten-cast ammunition for the data processing module of an embodiment of the present invention;

[0050] Figure 4 This is a logic flow chart of the abnormal visualization module in an embodiment of the present invention for determining whether there is an abnormal coagulation area. DETAILED DESCRIPTION

[0051] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0052] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain 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 the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediary; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0054] See also Figure 1 As shown in FIG, it is a functional block diagram of a system for visualizing and analyzing process parameter data of a smelting and casting ammunition production line according to an embodiment of the present invention. The system for visualizing and analyzing process parameter data of a smelting and casting ammunition production line according to the present invention includes:

[0055] a data acquisition module comprising an image monitoring unit, a liquid level monitoring unit, a temperature measurement unit, and a strain monitoring unit, wherein the image monitoring unit is used to obtain the ammunition casing contour and divide the ammunition casing contour into a plurality of annular regions along the height direction;

[0056] Specifically, the division height of the annular area can be set by technical personnel in this field according to 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 liquid level rising rate of the coolant in each annular area during the solidification stage of the molten-cast ammunition, the temperature measuring unit is used to monitor the regional temperature value of each annular area, and the strain monitoring unit is used to monitor the regional strain value of each annular area;

[0058] Specifically, in the melt-cast ammunition production line process, solidification includes sequential solidification, slow cooling process, and solidification process. Sequential solidification is the process of gradually solidifying the melt by controlling the cooling rate and sequence. Slow cooling is the process of reducing defects in the ammunition during the cooling process by slowly lowering the temperature. Solidification is the process of completely solidifying the ammunition by further controlling the temperature and time. It is widely used in the melt-cast ammunition production line process and will not be described in detail 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, which uses the industrial camera to capture images of ammunition casings, obtains the contours of the ammunition casings through edge algorithms, and then divides them into several annular areas. No further details will be given 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 that determines the position of the liquid level by emitting a laser beam onto the surface of the coolant, which will not be described in detail here.

[0061] Specifically, the present invention does not limit the specific structure of the temperature measuring unit. Preferably, it can be a temperature sensor for obtaining regional temperature values of several annular areas, which will not be described in detail here.

[0062] Specifically, the present invention does not limit the specific structure of the strain monitoring unit. Preferably, it can be a strain sensor for obtaining regional strain values of several annular areas, which will not be described in detail here.

[0063] a data pre-analysis module connected to the data acquisition module, configured to determine a heat exchange characteristic value within each annular region based on the liquid level rising 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 rising rate and the regional temperature value, which will not be repeated here.

[0065] A data processing module, which is connected to the data acquisition module and the data pre-analysis module respectively, is used to divide the ammunition shell contour into contour categories and construct a data association relationship of the solidification stage of the cast ammunition according to the contour categories, including:

[0066] for determining a first correlation based on the heat exchange characterization value and position information of each annular area;

[0067] Or, for determining a second correlation based on the heat exchange characterization value and the process participation characterization amount corresponding to each annular area;

[0068] Specifically, the present invention does not limit the specific structure of the data processing module. Preferably, it can be a field programmable logic component for dividing the ammunition shell contour into contour categories and constructing data association relationships in the solidification stage of the cast ammunition, which will not be repeated here.

[0069] The abnormal visual module is connected to the data acquisition module and the data processing module respectively, and is used to determine whether there is an abnormal coagulation area and whether to display an abnormal warning signal according to the determination result.

[0070] Specifically, the present invention does not limit the specific structure of the abnormal visual module. Preferably, it can be a processor used in a computer connected to a display screen, and the processor determines whether there is an abnormal coagulation area, and determines whether to display an abnormal warning signal on the display screen based on the determination result. It will not be repeated here.

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

[0072] The data pre-analysis module obtains the regional temperature value at the first moment and the regional temperature value at the second moment respectively, and determines the absolute value of the difference between the regional temperature value at the first moment and the regional temperature value at the second moment as the regional temperature change of the annular area;

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

[0074] Specifically, the present invention divides the ammunition casing contour into several annular areas along the height direction through a data acquisition module, and obtains the liquid level rise rate, regional temperature change and regional strain value of the annular area. It can be understood that the solidification stage of ammunition casting is usually sequential solidification from bottom to top. Dividing the ammunition into annular areas according to height can clearly understand the specific process of the solidification interface advancing from the bottom to the top, and judge whether the solidification proceeds in the expected order and speed. Due to the different positions of different annular areas, there are differences in heat dissipation conditions, and the cooling liquid level rise rate will also be different. At the same time, the positions of each annular area are different, and the strain conditions during the solidification process are also different. The internal temperature of the ammunition changes continuously during the solidification process, and the temperature is different at different heights. Dividing the annular areas and obtaining the temperature values and regional strain values of each area can accurately grasp the temperature field distribution inside the ammunition, which is helpful for analyzing the heat transfer phenomenon during the solidification process. Furthermore, it realizes real-time monitoring of relevant parameters during the sequential solidification process of molten 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 characteristic value in each annular area, wherein:

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

[0077] Specifically, the present invention determines the heat exchange characterization value in each annular area according to the liquid level rising rate, regional temperature change and regional strain value through the data pre-analysis module. It can be understood that the liquid level rising rate reflects the solidification process, and the temperature change reflects the heat loss or absorption. The ratio of the two can intuitively reflect the speed of liquid level rise under unit temperature change. During the heat exchange process, regional strain will be generated due to the uneven temperature distribution. When the heat exchange is intense, the temperature gradient is large and the strain value will also increase accordingly. By calculating the heat exchange characterization values of different annular areas, the intensity of heat exchange in each area can be compared. The present invention determines the heat exchange characterization value in each annular area through the liquid level rising rate, regional temperature change and regional strain value, thereby realizing real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of molten ammunition, thereby improving the transparency and reliability of the production process.

[0078] See also Figure 2 As shown, it is a logic flow chart of the data processing module for dividing the contour categories according to an embodiment of the present invention. The data processing module is used to divide the contour categories, wherein:

[0079] If the annular region of the ammunition casing contour meets the contour classification condition, the data processing module classifies the annular region into a first contour category;

[0080] If the annular region of the ammunition casing contour does not meet the contour division condition, the data processing module divides the annular region into a second contour 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 according to the coordinates of a point on the contour surface of the annular area in a preset coordinate system, wherein the preset coordinate system has a direction perpendicular to a horizontal plane as a horizontal axis and a direction parallel to the horizontal plane as a vertical axis.

[0083] Specifically, the present invention determines the contour category according to the ammunition casing contour through 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 in the annular area in the preset coordinate system is zero, it represents that the surface contour of the annular area is flat and the heat exchange rate of each part is relatively consistent. When the slope of several points in the annular area in the direction perpendicular to the horizontal plane is not zero, it represents that the surface contour of the annular area is uneven, the heat exchange process will be more complicated, and the rate and direction of heat transfer will also be different. Subsequent data processing of the annular areas of the two contour categories can improve the reliability of the production process. The present invention determines the contour category according to the ammunition casing contour through a data processing module, thereby realizing real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of the molten ammunition, thereby improving the transparency and reliability of the production process.

[0084] See also Figure 3 As shown, it is a logical flow chart of the data processing module of the embodiment of the present invention for constructing the data association relationship of the solidification stage of the molten cast ammunition. The data processing module is used to construct the data association relationship of the solidification stage of the molten cast ammunition according to the profile category, wherein:

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

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

[0087] Specifically, the present invention determines the first correlation based on the heat exchange characterization value and the position information of each annular area under the condition that the annular area is of the first contour category. It can be understood that the surface contour of the annular area of the first contour category is smooth, and the heat transfer path in the annular area is relatively simple. By determining the correlation between the two based on the heat exchange characterization value and the position information of each annular area, it is possible to clearly understand how the heat exchange conditions of the annular areas at different heights change with position, whether there is a trend that the heat exchange intensity increases or decreases with increasing height, etc., which helps to fully grasp the heat exchange distribution law of ammunition casting, and further, realize real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of the cast ammunition, thereby improving the transparency and reliability of the production process.

[0088] Specifically, the present invention determines the second correlation based on the heat exchange characterization value and the process participation characterization amount corresponding to each annular area under the condition that the annular area is of the second contour category. It can be understood that the surface contour of the annular area of the second contour category is uneven, the shape of the annular area is irregular, and the heat exchange situation is relatively complex. The heat exchange characterization value is closely related to the specific shape and size of the annular area. The sum of the side lengths of the cross-sectional contour represents the actual degree of participation of the annular area in heat exchange with the surrounding environment. The larger the sum of the side lengths, the longer the boundary of the area for heat exchange with the outside world or other areas, 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 amount corresponding to each annular area can more realistically reflect the actual situation of heat transfer and exchange during the ammunition casting process, which is helpful to in-depth understanding and analysis of the entire thermal process. Furthermore, it realizes real-time monitoring of relevant parameters and effective analysis and processing of data during the sequential solidification process of the cast ammunition, thereby improving the transparency and reliability of the production process.

[0089] Specifically, the data processing module is further configured 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 area corresponding to each annular area, and determine the Pearson correlation coefficient of the heat exchange characterization value and the upper limit height value of the area corresponding to each annular area sorted from low to high in height as the first correlation.

[0091] Specifically, the data processing module is further configured to determine a second correlation, wherein:

[0092] The data processing module is used to obtain the heat exchange characterization value and the process participation characterization value corresponding to each annular area, and determine the Pearson correlation coefficient of the heat exchange characterization value and the process participation characterization value corresponding to the annular areas sorted from small to large according to the process participation characterization value as the second correlation;

[0093] The process participation characterization quantity is the sum of the side lengths of the cross-section contour of the annular region along the radial direction.

[0094] See also Figure 4 As shown, it is a logic flow chart of the abnormal visual module of an embodiment of the present invention for determining whether there is an abnormal coagulation area. The abnormal visual module is used to determine whether there is an abnormal coagulation area, wherein:

[0095] If the first correlation does not meet the first correlation condition, or the second correlation does not meet the second correlation condition, the abnormal visualization module determines that an abnormal coagulation area exists;

[0096] If the first correlation meets a first correlation condition, and the second correlation meets a second correlation condition, the abnormal visualization module determines that there is no abnormal coagulation area;

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

[0098] The second association condition is that the process participation characterization quantity of the annular area participating 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 collected regional upper limit height values of each annular area are h1=1, h2=2, h3=3, h4=4, h5=5, h6=6, h7=7, h8=8, and h9=9 after removing the dimension, and the corresponding 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, and C9=0.75 after removing the dimension. The Pearson correlation coefficient r of the heat exchange characterization value and the regional upper limit height value corresponding to each annular area sorted from low to high in height is calculated according to the following formula. The numerical value of the heat exchange characterization value and the numerical value of the regional upper limit height value participate in the calculation of the Pearson correlation coefficient r. The calculation method of the Pearson correlation coefficient is the existing technology and will not be repeated here.

[0101]

[0102] in, r7=0.982, r8=0.987. At this time, the number of annular areas participating in the calculation of the Pearson correlation coefficient is positively correlated with the Pearson correlation coefficient. The abnormal visual module determines that there is no abnormal coagulation area. r7=0.982, r8=0.987, r9=0.979. At this time, the number of annular areas participating in the calculation of the Pearson correlation coefficient is not positively correlated with the Pearson correlation coefficient. The abnormal visual module determines that there is an abnormal coagulation area.

[0103] Under the second profile category condition, the process participation characterization values of each annular area collected after removing the dimension are z1=10, z2=15, z3=20, z4=25, z5=30, z6=35, z7=40, z8=45, z9=50, and the corresponding heat exchange characterization values after removing the dimension 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 of the heat exchange characterization value and the process participation characterization value corresponding to the annular area sorted from small to large by the process participation characterization value is calculated according to the following formula. The numerical value of the heat exchange characterization value and the numerical value of the process participation characterization value participate in the calculation of the Pearson correlation coefficient r;

[0104]

[0105] in, r7=0.988, r8=0.989. At this time, the process participation characterization quantity of the annular area participating in the calculation of the Pearson correlation coefficient is positively correlated with the Pearson correlation coefficient. The abnormal visual module determines that there is no abnormal coagulation area. r7=0.988, r8=0.989, r9=0.987. At this time, the number of annular areas participating in the calculation of the Pearson correlation coefficient is not positively correlated with the Pearson correlation coefficient. The abnormal visual module determines that there is an abnormal coagulation area.

[0106] Specifically, the abnormal visual module is also used to determine whether to display an abnormal warning signal, wherein:

[0107] If there is an abnormal coagulation area, the abnormal visual module determines to display an abnormal warning signal;

[0108] If there is no abnormal coagulation area, the abnormal visual module determines not to display the abnormal warning signal.

[0109] Specifically, the present invention determines whether there is an abnormal solidification area through the abnormal visual module, and determines whether to display an abnormal warning signal based on the determination result. It can be understood that the more annular areas involved in the calculation of the Pearson correlation coefficient, the more comprehensive the heat exchange conditions 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 the height can more accurately reflect the correlation between the two. In the normal ammunition melting process, as the number of annular areas at different heights increases, it shows a positive correlation with the Pearson correlation coefficient. The greater the process participation characterization amount, the greater the sum of the side lengths, and the greater the parameter. The higher the degree of heat exchange, the closer the relationship with the heat exchange characterization value should be. In the normal ammunition casting process, the process participation characterization quantity of the annular area participating in the Pearson correlation coefficient calculation should be positively correlated with the Pearson correlation coefficient. If there is an abnormal solidification area, the abnormal visual module will display an abnormal warning signal to facilitate operators to detect abnormalities in time and improve the level of intelligent industrial production. Furthermore, in the sequential solidification process of casting ammunition, real-time monitoring of relevant parameters and effective analysis and processing of data are achieved, and timely and accurate visual warnings are given for abnormal phenomena, thereby improving the transparency and reliability of the production process.

[0110] Thus far, the technical solutions of the present invention have been described in conjunction with 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 may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0111] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A visualization analysis system for process parameter data of a casting ammunition production line, characterized in that: include: a data acquisition module comprising an image monitoring unit, a liquid level monitoring unit, a temperature measurement unit, and a strain monitoring unit, wherein the image monitoring unit is used to obtain the ammunition casing contour and divide the ammunition casing contour into a plurality of annular regions along the height direction; The liquid level monitoring unit is used to obtain the liquid level rising rate of the coolant in each annular area during the solidification stage of the molten-cast ammunition, the temperature measuring unit is used to monitor the regional temperature value of each annular area, and the strain monitoring unit is used to monitor the regional strain value of each annular area; a data pre-analysis module connected to the data acquisition module, configured to determine a heat exchange characteristic value within each annular region based on the liquid level rising rate, the regional temperature value, and the regional strain value; A data processing module, which is connected to the data acquisition module and the data pre-analysis module respectively, is used to divide the ammunition shell contour into contour categories and construct a data association relationship of the solidification stage of the cast ammunition according to the contour categories, including: for determining a first correlation based on the heat exchange characterization value and position information of each annular area; Or, for determining a second correlation based on the heat exchange characterization value and the process participation characterization amount corresponding to each annular area; The abnormal visual module is connected to the data acquisition module and the data processing module respectively, and is used to determine whether there is an abnormal coagulation area and whether to display an abnormal warning signal according to the determination result.

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

3. The process parameter data visualization analysis system for the casting ammunition production line according to claim 2 is characterized in that: The data pre-analysis module is also used to determine the heat exchange characteristic value in each annular area, wherein: The data pre-analysis module respectively obtains the liquid level rising rate, regional temperature change and regional strain value in each annular area, calculates the product of the regional temperature change and the regional strain value, and determines the ratio of the liquid level rising rate to the product as the heat exchange characterization value of the annular area.

4. The process parameter data visualization analysis system for the casting ammunition production line according to claim 3 is characterized in that: The data processing module is used to classify the contour categories, wherein: If the annular region of the ammunition casing contour meets the contour classification condition, the data processing module classifies the annular region into a first contour category; If the annular region of the ammunition casing contour does not meet the contour division condition, the data processing module divides the annular region into a second contour category.

5. The process parameter data visualization analysis system for the casting ammunition production line according to claim 4 is characterized in that: The contour division condition is that the slope of any point on the contour surface of the annular region is zero; The slope is determined according to the coordinates of a point on the contour surface of the annular area in a preset coordinate system, wherein the preset coordinate system has a direction perpendicular to a horizontal plane as a horizontal axis and a direction parallel to the horizontal plane as a vertical axis.

6. The process parameter data visualization analysis system for the casting ammunition production line according to claim 5 is characterized in that: The data processing module is used to construct a data association relationship of the solidification stage of the molten ammunition according to the profile category, wherein: If the annular region is of the first contour category, the data processing module determines a first correlation based on the heat exchange characterization value and position information of each annular region; If the annular area is of the second contour category, the data processing module determines a second correlation based on the heat exchange characterization value and the process participation characterization amount corresponding to each annular area.

7. The process parameter data visualization analysis system for the casting ammunition production line according to claim 6 is characterized in that: The data processing module is further configured 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 area corresponding to each annular area, and determine the Pearson correlation coefficient of the heat exchange characterization value and the upper limit height value of the area corresponding to each annular area sorted from low to high in height as the first correlation.

8. The process parameter data visualization analysis system for the casting ammunition production line according to claim 7 is characterized in that: The data processing module is further configured to determine a second correlation, wherein: The data processing module is used to obtain the heat exchange characterization value and the process participation characterization value corresponding to each annular area, and determine the Pearson correlation coefficient of the heat exchange characterization value and the process participation characterization value corresponding to the annular areas sorted from small to large according to the process participation characterization value as the second correlation; The process participation characterization quantity is the sum of the side lengths of the cross-section contour of the annular region along the radial direction.

9. The process parameter data visualization analysis system for the casting ammunition production line according to claim 8 is characterized in that: The abnormal visual module is used to determine whether there is an abnormal coagulation area, wherein: If the first correlation does not meet the first correlation condition, or the second correlation does not meet the second correlation condition, the abnormal visualization module determines that an abnormal coagulation area exists; The first correlation condition is that the number of annular regions involved in the calculation of the Pearson correlation coefficient is positively correlated with the Pearson correlation coefficient; The second association condition is that the process participation characterization quantity of the annular area participating in the calculation of the Pearson correlation coefficient is positively correlated with the Pearson correlation coefficient.

10. The process parameter data visualization analysis system for the casting ammunition production line according to claim 9 is characterized in that: The abnormal visual module is also used to determine whether to display an abnormal warning signal, wherein: If there is an abnormal coagulation area, the abnormal visual module determines to display an abnormal warning signal; If there is no abnormal coagulation area, the abnormal visual module determines not to display the abnormal warning signal.

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