A monitoring system for abnormal operation status of metal material processing machine tool equipment

Abstract

The present invention belongs to the field of abnormal operation status monitoring of processing machine tools and equipment, and specifically discloses a system for monitoring the abnormal operation status of metal material processing machine tools and equipment, the system comprising: determining the abnormal data of the saw blade cutting angle by identifying the bevel line belonging to the contour of the incision surface of the processing material, and determining the abnormal data of the saw blade rotation speed by identifying the deviation distance of each layout position point on the contour of the incision surface of the processing material. By identifying the coolant injection vacancy area belonging to the incision position of the processing material at each recorded time point and analyzing the coolant spraying state qualification index, the uniformity and coverage of the coolant injection can be effectively evaluated. Then, combined with the burn mark area, the heat dissipation capacity indicator of the machine tool equipment is analyzed. By obtaining the sound frequency of each component and analyzing the coupling degree floating value between each component and other components, the operation stability evaluation coefficient of the machine tool equipment is calculated based on this, and the problematic components are accurately located.

Description

Technical Field

[0001] The invention belongs to the field of abnormal operation status monitoring of processing machine tool equipment, and relates to an abnormal operation status monitoring system for metal material processing machine tool equipment. Background Art

[0002] In the industrial context, the concepts of smart manufacturing and smart factories are gradually becoming a reality. As the basic equipment of the manufacturing industry, the monitoring and optimization of the operating status of machine tools plays an important role in promoting the upgrading of the entire industry. By real-time monitoring of the operating status of machine tools, a large amount of data can be collected, providing a basis for subsequent data analysis and optimization. At the same time, this technology can promote technological innovation and industrial upgrading in the manufacturing industry and improve the competitiveness of the entire industry.

[0003] At present, the existing methods cannot quickly and accurately determine the abnormal data of machine tool equipment processing when identifying the abnormal status of machine tool equipment processing, resulting in the failure to timely discover and handle the abnormal operation of machine tool equipment processing, which in turn affects the stability of the machine tool equipment processing process and product quality.

[0004] Secondly, in terms of evaluating the effect of coolant injection, existing methods usually only focus on single parameters such as the injection volume or injection pressure of the coolant, while ignoring important factors such as the uniformity and coverage of the coolant injection. This may result in the coolant failing to fully cover the incision position, affecting the cooling effect during the cutting process, and further leading to overheating, damage, or reduced cutting quality of the machine tool equipment.

[0005] Finally, in terms of the operational stability of machine tool equipment, existing methods usually lack effective monitoring means, are unable to timely detect the working status and coordination of various components, and are unable to quickly locate the position of abnormal components, which may lead to unstable operation or potential faults that cannot be discovered and handled in a timely manner. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a metal material processing machine tool equipment operating status abnormality monitoring system is now proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a metal material processing machine tool equipment operating status abnormality monitoring system, the system includes: a processing confirmation module, used to perform contour scanning on the material to be processed, display its contour on the display screen, and then manually confirm the preset material processing parameters, the preset material processing parameters include the structural required lengths of the lower tangent, upper tangent and middle tangent of the processed material.

[0008] The processing data detection module is used to extract the smooth bevel surface of the processing material contour model, identify whether there is any abnormality in the saw blade cutting state of the machine tool equipment, analyze the saw blade speed stability index, and then determine the abnormal operation data of the saw blade.

[0009] The heat dissipation anomaly analysis module is used to obtain the coolant injection vacancy area, detect the coolant spray status qualification index, collect the image of the cut surface of the processed material, identify whether there are burn marks on the cut surface of the processed material, and then analyze the heat dissipation capacity indicators of the machine tool equipment.

[0010] The operation stability analysis module is used to measure the sound vibration frequency of each component of the machine tool equipment, analyze the correlation coupling degree between each component and other components, and determine the operation stability evaluation coefficient of the machine tool equipment.

[0011] The abnormal type confirmation module is used to confirm the abnormal type and abnormal location of the machine tool equipment operation status and provide feedback.

[0012] The database is used to store the coolant color grayscale value, the burn mark grayscale value range, the standard vibration time history curve under the normal operating state of the machine tool equipment, and the sound and vibration signal characteristics of each component of the machine tool equipment.

[0013] Exemplarily, the method of extracting the smooth beveled surface of the processing material contour model is specifically as follows: performing a contour scan on the processing material to obtain the processing material contour model, extracting the contour of the cutting surface of the processing material, and locating the contour line in contact with the material placement table of the machine tool equipment from the processing material contour model as the lower tangent, and then locating the symmetry line of the lower tangent in the processing material contour model as the upper tangent, and obtaining the edge straight line in the middle of the lower tangent and the upper tangent on the processing material contour model as the mid-tangent.

[0014] The required structural lengths of the lower tangent, upper tangent and middle tangent of the processed material are extracted from the preset material processing parameters, and the bevel cut positions of the lower tangent, upper tangent and middle tangent are determined, and then they are connected to obtain the cutting surface, and cutting is performed along the cutting surface to obtain a smooth bevel surface of the contour model of the processed material.

[0015] The smooth beveled surface of the processing material contour model is compared with the contour of the incision surface of the processing material to obtain a non-overlapping contour sub-model of the processing material, and identify whether there is an abnormality in the cutting angle of the saw blade. If so, the abnormal data of the cutting angle is fed back, otherwise the saw blade's speed stability index is analyzed.

[0016] Exemplarily, the method for identifying whether there is an abnormality in the saw blade cutting angle is: locating the bevel cut position points of the lower tangent, the upper tangent and the middle tangent on the contour of the cutting surface of the processing material, and comparing them with the bevel cut position points of the corresponding tangents on the contour model of the processing material. If the bevel cut position points of a certain tangent do not match, it indicates that there is an abnormality in the saw blade cutting angle, and then obtaining the cutting surface belonging to the cutting surface contour of the processing material, and using the angle between it and the cutting surface belonging to the smooth bevel cut surface of the contour model of the processing material as the abnormal data of the cutting angle.

[0017] Exemplarily, the analysis of the saw blade speed stability index is as follows: the bevel cut position points of the lower tangent line and the upper tangent line of the processing material contour model are connected to obtain the bevel cut line, and then the bevel cut line is evenly divided at the same distance to obtain the layout position points of the smooth bevel surface, and the horizontal projection point of each layout position point is located on the contour of the processing material cut surface, and then the deviation distance of each layout position point is obtained. , Number the layout location points. .

[0018] Compare the deviation distances of each layout position point with each other. or , then the The layout position point is recorded as the jam point position. Indicates The deviation distance of the layout position points, Indicates The deviation distance of the layout position points, is the logical AND symbol.

[0019] Count the number of stuck points, recorded as , analyze the saw blade speed stability index ,in is the number of layout location points, It is the reference value for setting the deviation distance between two layout position points.

[0020] The saw blade's speed stability index is compared with a preset stability index threshold. When the saw blade's speed stability index is less than a preset temperature index threshold, it indicates that the speed of the machine tool equipment is abnormal. The saw blade's speed stability index is then used as abnormal speed data for feedback.

[0021] Exemplarily, the method for detecting the coolant spraying state qualified index is: by installing a flow meter at the coolant outlet of the machine tool equipment to record the coolant spraying amount in real time, extracting each recorded time point during the cutting process, and obtaining the coolant spraying amount at each recorded time point during the cutting process. , is the number of the recorded time point, .

[0022] Extract the coolant coverage map at each recorded time point and identify the coolant injection vacancy area at each recorded time point of the cutout of the processed material .

[0023] Analyze the coolant spray status qualification index , where Indicates the unit vacancy area of ​​coolant injection, Record the number of time points.

[0024] Exemplarily, the analysis of the heat dissipation capacity indicator of the machine tool equipment includes: identifying the grayscale value of each pixel point on the cut surface of the processed material from the cut surface image of the processed material, confirming whether there is a burn mark on the cut surface of the processed material, and if there is a burn mark, extracting the burn mark area and the grayscale value of the pixel in the burn area .

[0025] Combined coolant spray status qualified index , analyze the heat dissipation capacity of machine tools ,in Indicates the area of ​​the cut surface of the processed material. Indicates the grayscale value of the pixel corresponding to the preset normal color.

[0026] Exemplarily, the specific method for analyzing the correlation coupling degree between each component and other components is: extracting the standard vibration time history curve of the machine tool equipment under normal operating conditions, comparing the standard sound vibration frequencies of each component in the curve with each other, and obtaining the frequency difference value between the standard sound vibration frequency of each component at each vibration time and the standard sound vibration frequency of other components. , is the part type number, , is the number of the vibration time, , For other parts types, .

[0027] If the standard sound vibration frequency of a component is equal to the standard sound vibration frequency of another component at each vibration time times, then Denote the correlation between the standard sound vibration frequencies of these two components, is a natural constant, based on which the correlation between the standard sound vibration frequency of each component and the standard sound vibration frequency of other components is obtained .

[0028] Analyze the degree of correlation and coupling between each component and other components , where To set the frequency difference reference value, They are the set evaluation weights corresponding to the frequency difference value and the standard sound vibration frequency correlation. Indicates the amount of vibration time.

[0029] Exemplarily, the method for determining the machine tool equipment operation stability evaluation coefficient is: extracting the sound spectrum during the operation of the machine tool equipment, identifying various sound vibration frequencies therefrom, plotting it into a vibration time history curve of the machine tool equipment, and extracting the sound vibration frequencies of various components of the machine tool equipment.

[0030] Obtain the correlation coupling analysis value between each component of the vibration time history curve of the machine tool equipment and other components, and obtain the coupling floating value between each component and other components by comparative analysis. .

[0031] Compare the vibration time history curve of the machine tool equipment with the standard vibration time history curve under normal operating conditions of the machine tool equipment, and analyze the number of redundant sound vibration frequencies , the frequency of sound vibration frequency jumps of each component .

[0032] Computer tool equipment operation stability evaluation coefficient ,in Indicates the number of types of sound vibration frequencies of a component.

[0033] Exemplarily, the steps for confirming the abnormal type and abnormal position of the machine tool equipment operating status are as follows: B1. Compare the machine tool equipment operating stability evaluation coefficient with the preset stability evaluation coefficient threshold. When the machine tool equipment operating stability evaluation coefficient is lower than the preset stability evaluation coefficient threshold, the abnormal type of the machine tool equipment operating status is recorded as the component vibration abnormal type, and the coupling degree floating values ​​between each component and each other component are summarized to obtain the comprehensive coupling degree floating value of each component, and compare it with the preset associated coupling degree assessment value. If the comprehensive coupling degree floating value of a component is greater than or equal to the preset associated coupling degree assessment value, then the operating position of the component in the machine tool equipment is obtained and recorded as the abnormal position.

[0034] B2. Obtain the saw blade operation abnormality data. If the abnormal data value exists, the abnormal type of the machine tool equipment operation status is recorded as the saw blade cutting abnormal type, and the saw blade component position is the abnormal position.

[0035] B3. Compare the heat dissipation capacity indicator of the machine tool equipment with the preset heat dissipation capacity indicator threshold. If the heat dissipation capacity indicator of the machine tool equipment is greater than the preset heat dissipation capacity indicator threshold, the abnormal type of the machine tool equipment operation status is recorded as the coolant spraying abnormal type, and the coolant outlet position is the abnormal position.

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention determines the abnormal data of the saw blade cutting angle by identifying the bevel line belonging to the contour of the incision surface of the processed material, and determines the abnormal data of the saw blade rotation speed by identifying the deviation distance of each layout position point on the contour of the incision surface of the processed material. The abnormal cutting state of the saw blade component is directly confirmed by analyzing the contour data, which simplifies the recognition process of the abnormal state of the saw blade, can quickly and accurately determine the abnormal state of the saw blade, and improves the recognition efficiency.

[0037] (2) The present invention can effectively evaluate the uniformity and coverage of coolant spraying by identifying the coolant spraying gap area at each recorded time point of the incision position of the processed material and analyzing the coolant spraying status qualification index, helping us understand whether the coolant can fully cover the incision position, thereby ensuring the cooling effect during the cutting process. In addition, by combining the burn mark area and analyzing the heat dissipation capacity indicator of the machine tool equipment, we can have a more comprehensive understanding of the heat dissipation status of the saw blade and avoid damage to the saw blade or reduction in cutting quality due to overheating.

[0038] (3) The present invention obtains the sound frequency of each component, analyzes the floating value of the coupling degree between each component and other components, and calculates the operating stability evaluation coefficient of the tool equipment based on this. The change of sound frequency is used to detect and judge the operating status of the machine, and the problematic components can be accurately located, so that they can be quickly repaired and replaced, reducing the time and cost of troubleshooting. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0040] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention.

[0041] Figure 2 This is a diagram showing the contour model of the processed material of the present invention.

[0042] Figure markings: 1. Bevel cut position point of upper tangent line, 2. Bevel cut position point of lower tangent line, 3. Bevel cut position point of middle tangent line, 4. Cutting surface to which the smooth bevel cut surface of the contour model of the processed material belongs, 5. Cutting surface to which the contour of the cut surface of the processed material belongs. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1 As shown, the present invention provides a metal material processing machine tool equipment operation state abnormality monitoring system, the system includes: a processing confirmation module, a processing data detection module, a heat dissipation abnormality analysis module, an operation stability analysis module, an abnormality type evaluation module, and a database. The processing confirmation module is connected to the processing data detection module, the abnormality type evaluation module is respectively connected to the processing data detection module, the heat dissipation abnormality analysis module, and the operation stability analysis module, and the database is respectively connected to the heat dissipation abnormality analysis module and the operation stability analysis module.

[0045] The processing confirmation module is used to scan the contour of the material to be processed, display its contour on the display screen, and then manually confirm the preset material processing parameters, which include the structural required lengths of the lower tangent, upper tangent and middle tangent of the processed material.

[0046] The processing data detection module is used to extract the smooth beveled surface of the processing material contour model, identify whether there is an abnormality in the saw blade cutting state of the machine tool equipment, analyze the saw blade speed stability index, and then determine the saw blade operation abnormal data, wherein the saw blade operation abnormal data includes abnormal cutting angle data and abnormal speed data.

[0047] In a specific embodiment of the present invention, the extraction of the smooth beveled surface of the processing material contour model is specifically: performing a contour scan on the processing material to obtain the processing material contour model, extracting the contour of the cutting surface of the processing material, and locating the contour line in contact with the material placement table of the machine tool equipment from the processing material contour model as the lower tangent, and then locating the symmetry line of the lower tangent in the processing material contour model as the upper tangent, and obtaining the edge straight line in the middle of the lower tangent and the upper tangent on the processing material contour model, which is recorded as the mid-tangent.

[0048] The required structural lengths of the lower tangent, upper tangent and middle tangent of the processed material are extracted from the preset material processing parameters, and the bevel cut positions of the lower tangent, upper tangent and middle tangent are determined, and then they are connected to obtain the cutting surface, and cutting is performed along the cutting surface to obtain a smooth bevel surface of the contour model of the processed material.

[0049] The smooth beveled surface of the processing material contour model is compared with the contour of the incision surface of the processing material to obtain a non-overlapping contour sub-model of the processing material, and identify whether there is an abnormality in the cutting angle of the saw blade. If so, the abnormal data of the cutting angle is fed back, otherwise the saw blade's speed stability index is analyzed.

[0050] See also Figure 2 As shown, in another specific embodiment of the present invention, the method for identifying whether there is an abnormality in the saw blade cutting angle is: locating the bevel cut position points of the lower tangent, the upper tangent and the middle tangent on the contour of the cutting surface of the processing material, and comparing them with the bevel cut position points of the corresponding tangents on the contour model of the processing material. If the bevel cut position points of a certain tangent do not match, it indicates that there is an abnormality in the saw blade cutting angle, and then obtaining the cutting surface belonging to the cutting surface contour of the processing material, and using the angle between it and the cutting surface belonging to the smooth bevel cut surface of the contour model of the processing material as the abnormal data of the cutting angle.

[0051] In a specific embodiment of the present invention, the process of analyzing the rotation speed stability index of the saw blade is as follows: the bevel cut position points of the lower tangent line and the upper tangent line of the processing material contour model are connected to obtain the bevel cut line, and then the bevel cut line is evenly divided at the same distance to obtain the layout position points of the smooth bevel surface, and the horizontal projection point of each layout position point is located on the contour of the cutting surface of the processing material, and then the deviation distance of each layout position point is obtained. , Number the layout location points. .

[0052] Compare the deviation distances of each layout position point with each other. or , then the The layout position point is recorded as the jam point position. Indicates The deviation distance of the layout position points, Indicates The deviation distance of the layout position points, is the logical AND symbol.

[0053] Count the number of stuck points, recorded as , analyze the saw blade speed stability index ,in is the number of layout location points, It is the reference value for setting the deviation distance between two layout position points.

[0054] The saw blade's speed stability index is compared with a preset stability index threshold. When the saw blade's speed stability index is less than a preset temperature index threshold, it indicates that the speed of the machine tool equipment is abnormal. The saw blade's speed stability index is then used as abnormal speed data for feedback.

[0055] The present invention determines the abnormal data of the saw blade cutting angle by identifying the bevel line belonging to the contour of the incision surface of the processed material, determines the abnormal data of the saw blade rotation speed by identifying the deviation distance of each layout position point on the contour of the incision surface of the processed material, and directly confirms the abnormal cutting state of the saw blade component through contour data, thereby simplifying the recognition process of the abnormal state of the saw blade, can quickly and accurately determine the abnormal state of the saw blade, and improves the recognition efficiency.

[0056] The heat dissipation anomaly analysis module is used to obtain the coolant injection vacancy area, detect the coolant spraying status qualification index, collect the image of the cut surface of the processed material, identify whether there are burn marks on the cut surface of the processed material, and then analyze the heat dissipation capacity indicators of the machine tool equipment.

[0057] In a specific embodiment of the present invention, the method for detecting the qualified index of the coolant spraying state is: the spraying amount of the coolant is recorded in real time by a flow meter installed at the coolant outlet of the machine tool equipment, and each recorded time point in the cutting process is extracted to obtain the spraying amount of the coolant at each recorded time point in the cutting process. , is the number of the recorded time point, .

[0058] The coolant coverage map at each recorded time point is collected by a camera device, and the contour of the contact area between the processed material and the saw blade is extracted and recorded as the cutting contour of the incision position. The coolant color grayscale value is extracted from the database, and the grayscale value of each pixel in the cutting contour at the incision position in the coolant coverage map at each recorded time point is obtained based on image recognition technology. It is compared with the coolant color grayscale value, and the pixel points whose grayscale values ​​in the cutting contour at the incision position in the coolant coverage map at each recorded time point do not match the coolant color grayscale value are screened out, and the pixel area is counted to obtain the coolant injection vacancy area of ​​the processing material incision position at each recorded time point. . The pixel area is the preset image adjustment parameter.

[0059] Analyze the coolant spray status qualification index , where Indicates the unit vacancy area of ​​coolant injection, Record the number of time points.

[0060] In another specific embodiment of the present invention, the analysis of the heat dissipation capacity indicator of the machine tool equipment includes: identifying the grayscale value of each pixel point on the cut surface of the processed material from the cut surface image of the processed material, and comparing it with the grayscale value range of the burn mark stored in the database. If the grayscale value of a certain pixel point on the cut surface of the processed material is within the grayscale value range of the burn mark stored in the database, it is confirmed that there is a burn mark on the cut surface of the processed material, which indicates that the coolant temperature is insufficient, and then counting the grayscale values ​​of each pixel point on the cut surface of the processed material within the grayscale value range of the burn mark stored in the database, record them as each burn pixel point, and then sum the areas of each burn pixel point to obtain the burn mark area. , and the grayscale value of each burned pixel is averaged to obtain the pixel grayscale value of the burned area .

[0061] Combined coolant spray status qualified index , analyze the heat dissipation capacity of machine tools ,in Indicates the area of ​​the cut surface of the processed material. Indicates the grayscale value of the pixel corresponding to the preset normal color.

[0062] The present invention can effectively evaluate the uniformity and coverage of coolant spraying by identifying the coolant spraying vacancy area of ​​the incision position of the processed material at each recorded time point and analyzing the coolant spraying state qualification index, helping us understand whether the coolant can fully cover the incision position, thereby ensuring the cooling effect during the cutting process. In addition, by combining the burn mark area and analyzing the heat dissipation capacity indicator of the machine tool equipment, we can more comprehensively understand the heat dissipation status of the saw blade and avoid saw blade damage or reduced cutting quality due to overheating.

[0063] The operation stability analysis module is used to measure the sound vibration frequency of each component of the machine tool equipment, analyze the correlation coupling degree between each component and other components, and determine the operation stability evaluation coefficient of the machine tool equipment.

[0064] In a specific embodiment of the present invention, the specific method for analyzing the correlation coupling degree between each component and other components is: extracting the standard vibration time history curve of the machine tool equipment under normal operating conditions from the database, comparing the standard sound vibration frequencies of each component in the curve with each other, and obtaining the frequency difference value between the standard sound vibration frequency of each component at each vibration time and the standard sound vibration frequency of other components. , is the part type number, , is the number of the vibration time, , For other parts types, .

[0065] Specifically, when a certain component is taken as the designated component, the other components are all components except the designated component.

[0066] If the standard sound vibration frequency of a component is equal to the standard sound vibration frequency of another component at each vibration time times, then Denote the correlation between the standard sound vibration frequencies of these two components, is a natural constant, based on which the correlation between the standard sound vibration frequency of each component and the standard sound vibration frequency of other components is obtained .

[0067] Analyze the degree of correlation and coupling between each component and other components , where To set the frequency difference reference value, They are the set evaluation weights corresponding to the frequency difference value and the standard sound vibration frequency correlation. Indicates the amount of vibration time. Specifically, .

[0068] In another specific embodiment of the present invention, the determination method of the machine tool equipment operation stability evaluation coefficient is as follows: extract the sound spectrum during the operation of the machine tool equipment through a sound extractor, identify various sound vibration frequencies based on sound processing technology, plot them into a vibration time history curve of the machine tool equipment, extract the sound vibration signal characteristics of each component of the machine tool equipment from the database, compare them with the signal characteristics of various sound vibration frequencies in the vibration time history curve of the machine tool equipment, and obtain the sound vibration frequency of each component of the machine tool equipment. Among them, the operating components of the machine tool equipment include cutting saw blades, spindles and bearings, gears and transmission systems, etc.

[0069] The method of obtaining the correlation coupling degree between each component and other components of the standard vibration time history curve under the normal operation of the machine tool equipment is similarly used to obtain the correlation coupling degree analysis value between each component and other components of the vibration time history curve of the machine tool equipment, and the coupling degree floating value between each component and other components is obtained by comparison. .

[0070] Compare the vibration time history curve of the machine tool equipment with the standard vibration time history curve under normal operating conditions of the machine tool equipment, and analyze the number of redundant sound vibration frequencies , the frequency of sound vibration frequency jumps of each component .

[0071] The redundant sound vibration frequency is a sound vibration frequency that exists in the vibration time history curve of the machine tool equipment but does not exist in the standard vibration time history curve of the machine tool equipment under normal operating conditions. The number of sound vibration frequencies that do not exist in the standard vibration time history curve of the machine tool equipment under normal operating conditions is counted from the vibration time history curve of the machine tool equipment, which is the number of redundant sound vibration frequencies.

[0072] Computer tool equipment operation stability evaluation coefficient ,in Indicates the number of types of sound vibration frequencies of a component.

[0073] Specifically, the frequency of jumps of the sound vibration frequency of each component is obtained by comparing the vibration time history curve of the machine tool equipment with the standard vibration time history curve under normal operating conditions of the machine tool equipment, obtaining the frequency difference value of the sound vibration frequency of each component at each vibration time, and comparing it with the set frequency difference allowable value. When the frequency difference value of the sound vibration frequency of a certain component at a certain vibration time exceeds the set frequency difference allowable value, the vibration time corresponding to the sound vibration frequency of the component is recorded as the jump time, thereby obtaining the jump times of the sound vibration frequencies of each component. , analyze the frequency of sound vibration frequency jumps of each component , where Indicates The frequency of the component sound vibration Jump time, Indicates the set reference interval length between two jump times. is the number of the jump time, .

[0074] The abnormality type confirmation module is used to confirm the abnormality type and abnormal location of the machine tool equipment operation state and provide feedback thereto. The abnormality type of the machine tool equipment operation state includes abnormal component vibration type, abnormal saw blade cutting type, and abnormal coolant spraying type.

[0075] In a specific embodiment of the present invention, the steps for confirming the abnormal type and abnormal position of the machine tool equipment operation status are as follows: B1. Compare the machine tool equipment operation stability evaluation coefficient with the preset stability evaluation coefficient threshold. When the machine tool equipment operation stability evaluation coefficient is lower than the preset stability evaluation coefficient threshold, the abnormal type of the machine tool equipment operation status is recorded as the component vibration abnormal type, and the coupling degree floating values ​​between each component and each other component are summarized to obtain the comprehensive coupling degree floating value of each component, and compare it with the preset associated coupling degree assessment value. If the comprehensive coupling degree floating value of a component is greater than or equal to the preset associated coupling degree assessment value, the operating position of the component in the machine tool equipment is obtained and recorded as the abnormal position.

[0076] B2. Obtain the saw blade operation abnormality data. If the abnormal data value exists, the abnormal type of the machine tool equipment operation status is recorded as the saw blade cutting abnormal type, and the saw blade component position is the abnormal position.

[0077] B3. Compare the heat dissipation capacity indicator of the machine tool equipment with the preset heat dissipation capacity indicator threshold. If the heat dissipation capacity indicator of the machine tool equipment is greater than the preset heat dissipation capacity indicator threshold, the abnormal type of the machine tool equipment operation status is recorded as the coolant spraying abnormal type, and the coolant outlet position is the abnormal position.

[0078] The present invention obtains the sound frequency of each component, analyzes the coupling floating value between each component and other components, calculates the operation stability evaluation coefficient of the tool equipment based on this, and uses the change of sound frequency to detect and judge the operation status of the machine, so as to accurately locate the component with problems, so as to quickly repair and replace it, reducing the time and cost of troubleshooting. Specifically, if the coupling floating value is abnormal, it may indicate that there is a problem with a component or the coordination between the components is poor, and corresponding adjustment or repair is required.

[0079] The database is used to store the coolant color grayscale value, the burn mark grayscale value range, the standard vibration time history curve under the normal operating state of the machine tool equipment, and the sound vibration signal characteristics of each component of the machine tool equipment.

[0080] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A metal material processing machine tool equipment operation status abnormality monitoring system, characterized in that: The system includes: A processing confirmation module is used to scan the contour of the material to be processed, display its contour on the display screen, and then manually confirm the preset material processing parameters, which include the required structural lengths of the lower tangent line, upper tangent line and middle tangent line of the processed material; The processing data detection module is used to extract the smooth bevel surface of the processing material contour model, identify whether there is an abnormality in the saw blade cutting state of the machine tool equipment, analyze the saw blade speed stability index, and then determine the abnormal operation data of the saw blade; The heat dissipation abnormality analysis module is used to obtain the coolant spraying vacancy area, detect the coolant spraying status qualification index, collect the image of the cut surface of the processed material, identify whether there are burn marks on the cut surface of the processed material, and then analyze the heat dissipation capacity indicators of the machine tool equipment; Operation stability analysis module, used to measure the sound vibration frequency of each component of the machine tool equipment, analyze the correlation coupling degree between each component and other components, and determine the operation stability evaluation coefficient of the machine tool equipment; The abnormality type confirmation module is used to confirm the abnormality type and abnormal location of the machine tool equipment operation status and provide feedback; A database for storing the coolant color grayscale value, the burn mark grayscale value range, the standard vibration time history curve under normal operating conditions of the machine tool equipment, and the sound and vibration signal characteristics of each component of the machine tool equipment; The process of analyzing the saw blade speed stability index is as follows: The oblique cut position points of the lower tangent line and the upper tangent line of the processing material contour model are connected to obtain the oblique cut line, and then the oblique cut line is evenly divided at the same distance to obtain the layout position points of the smooth oblique cut surface, and the horizontal projection points of each layout position point are located on the contour of the processing material cut surface, and then the deviation distance of each layout position point is obtained. , Number the layout location points. ; Compare the deviation distances of each layout position point with each other. or , then the The layout position point is recorded as the jam point position. Indicates The deviation distance of the layout position points, Indicates The deviation distance of the layout position points, is the logical AND symbol; Count the number of stuck points, recorded as , analyze the saw blade speed stability index ,in is the number of layout location points, It is the reference value for setting the deviation distance between two layout position points; The saw blade's speed stability index is compared with a preset stability index threshold. When the saw blade's speed stability index is less than the preset temperature index threshold, it indicates that the speed of the machine tool equipment is abnormal, and the saw blade's speed stability index is used as abnormal speed data for feedback. The analysis of the heat dissipation capacity of the machine tool equipment is as follows: Identify the grayscale value of each pixel on the cut surface of the processed material from the cut surface image to confirm whether there is a burn mark on the cut surface of the processed material. If there is a burn mark, extract the burn mark area and the grayscale value of the pixel in the burn area ; Combined coolant spray status qualified index , analyze the heat dissipation capacity of machine tools ,in Indicates the area of ​​the cut surface of the processed material. Indicates the grayscale value of the pixel corresponding to the preset normal color; The specific method for analyzing the correlation coupling degree between each component and other components is: Extract the standard vibration time history curve of the machine tool equipment under normal operating conditions, compare the standard sound vibration frequencies of each component in the curve with each other, and obtain the frequency difference value between the standard sound vibration frequency of each component at each vibration time and the standard sound vibration frequency of other components , is the part type number, , is the number of the vibration time, , For other parts types, ; If the standard sound vibration frequency of a component is equal to the standard sound vibration frequency of another component at each vibration time times, then Denote the correlation between the standard sound vibration frequencies of these two components, is a natural constant, based on which the correlation between the standard sound vibration frequency of each component and the standard sound vibration frequency of other components is obtained ; Analyze the degree of correlation and coupling between each component and other components , where To set the frequency difference reference value, They are the set evaluation weights corresponding to the frequency difference value and the standard sound vibration frequency correlation. Indicates the amount of vibration time; The determination method of the machine tool equipment operation stability evaluation coefficient is: Extract the sound spectrum during the operation of the machine tool equipment, identify various sound vibration frequencies from it, plot it into a vibration time history curve of the machine tool equipment, and extract the sound vibration frequencies of various parts of the machine tool equipment; Obtain the correlation coupling analysis value between each component of the vibration time history curve of the machine tool equipment and other components, and obtain the coupling floating value between each component and other components by comparative analysis. ; Compare the vibration time history curve of the machine tool equipment with the standard vibration time history curve under normal operating conditions of the machine tool equipment, and analyze the number of redundant sound vibration frequencies , the frequency of sound vibration frequency jumps of each component ; Computer tool equipment operation stability evaluation coefficient ,in Indicates the number of types of sound vibration frequencies of components; The steps for confirming the abnormal type and location of the machine tool equipment operating status are as follows: B1. Compare the operation stability evaluation coefficient of the machine tool equipment with the preset stability evaluation coefficient threshold. When the operation stability evaluation coefficient of the machine tool equipment is lower than the preset stability evaluation coefficient threshold, the abnormal operation state type of the machine tool equipment is recorded as the abnormal component vibration type, and the coupling degree floating values ​​between each component and other components are summarized to obtain the comprehensive coupling degree floating value of each component, which is compared with the preset associated coupling degree evaluation value. If the comprehensive coupling degree floating value of a component is greater than or equal to the preset associated coupling degree evaluation value, the operation position of the component in the machine tool equipment is obtained and recorded as the abnormal position; B2. Obtaining saw blade operation abnormality data. If the abnormal data value exists, the abnormal type of the machine tool equipment operation status is recorded as the saw blade cutting abnormal type, and the position of the saw blade component is the abnormal position; B3. Compare the heat dissipation capacity indicator of the machine tool equipment with the preset heat dissipation capacity indicator threshold. If the heat dissipation capacity indicator of the machine tool equipment is greater than the preset heat dissipation capacity indicator threshold, the abnormal type of the machine tool equipment operation status is recorded as the coolant spraying abnormal type, and the coolant outlet position is the abnormal position.

2. A metal material processing machine tool equipment operation status abnormality monitoring system according to claim 1, characterized in that: The smooth chamfered surface of the extracted processing material contour model is specifically: Scan the contour of the processing material to obtain a processing material contour model, extract the contour of the cutting surface of the processing material, and locate the contour line in contact with the material placement table of the machine tool equipment from the processing material contour model and record it as the lower tangent line, then locate the symmetry line of the lower tangent line in the processing material contour model and record it as the upper tangent line, and obtain the edge straight line in the middle position of the lower tangent line and the upper tangent line on the processing material contour model and record it as the mid-tangent line; Extract the required lengths of the lower tangent, upper tangent and middle tangent of the processed material from the preset material processing parameters, determine the bevel cut position points of the lower tangent, upper tangent and middle tangent, and then connect them to obtain a cutting surface, and cut along the cutting surface to obtain a smooth bevel cut surface of the contour model of the processed material; The smooth beveled surface of the processing material contour model is compared with the contour of the incision surface of the processing material to obtain a non-overlapping contour sub-model of the processing material, and identify whether there is an abnormality in the cutting angle of the saw blade. If so, the abnormal data of the cutting angle is fed back, otherwise the saw blade's speed stability index is analyzed.

3. A metal material processing machine tool equipment operation status abnormality monitoring system according to claim 2, characterized in that: The method for identifying whether there is an abnormality in the saw blade cutting angle is: locating the bevel cut position points of the lower tangent, the upper tangent and the middle tangent on the contour of the cutting surface of the processing material, and comparing them with the bevel cut position points of the corresponding tangents on the contour model of the processing material. If the bevel cut position points of a certain tangent do not match, it means that there is an abnormality in the saw blade cutting angle, and then obtaining the cutting surface belonging to the cutting surface contour of the processing material, and using the angle between it and the cutting surface belonging to the smooth bevel cut surface of the contour model of the processing material as the abnormal data of the cutting angle.

4. The metal material processing machine tool equipment operation status abnormality monitoring system according to claim 1, characterized in that: The method for detecting the coolant spraying state qualification index is: The flow meter installed at the coolant outlet of the machine tool equipment records the spraying amount of the coolant in real time, extracts each recorded time point during the cutting process, and obtains the spraying amount of the coolant at each recorded time point during the cutting process. , is the number of the recorded time point, ; Extract the coolant coverage map at each recorded time point and identify the coolant injection vacancy area at each recorded time point of the cutout of the processed material ; Analyze the coolant spraying status qualification index , where Indicates the unit vacancy area of ​​coolant injection, Record the number of time points.

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