An online monitoring system for tool status in CNC machining center

Abstract

The invention relates to the technical field of online tool status monitoring, and specifically discloses an online tool status monitoring system for a CNC machining center, comprising a cutting process preprocessing module, a cutting process status analysis module, a cutting process early warning analysis and display module, a cutting completion preprocessing module, a cutting completion status analysis module and a cutting completion early warning analysis and display module. By analyzing a tool jamming evaluation coefficient corresponding to a target cutting action, the system effectively makes up for the deficiency of modern tool monitoring technology in analyzing the jamming height and jamming number corresponding to a specified tool in a cutting process video, improves the reliability and effectiveness of the cutting action analysis corresponding to the specified tool, provides strong data support for the cutting process status evaluation coefficient corresponding to the target cutting action, increases the timeliness and response efficiency of replacing the specified tool, avoids the safety hazards existing in the quality of processed workpieces, and improves the processing efficiency of processed workpieces.

Description

Technical Field

[0001] The invention relates to the technical field of tool status online monitoring, and in particular to an online tool status monitoring system for a CNC machining center. Background Art

[0002] CNC refers to computer numerical control machine tools. It is widely used in the machinery manufacturing industry because of its characteristics that ordinary machine tools do not have, such as high processing precision and good processing quality. The status of the tool in the CNC machining center has an extraordinary influence on the quality of the workpiece, production efficiency, and processing cost, which highlights the importance of online monitoring of the tool status.

[0003] With the maturity of modern tool monitoring technology, the identification of tool status during the cutting process has gradually changed from manual identification to identification through various sensors. Since various sensors are easily affected by the processing method, the accuracy of the monitoring results is reduced, which is specifically reflected in the following aspects: 1. Modern tool monitoring technology does not monitor and analyze the jam height and number of jams corresponding to the cutting tool in the cutting video, and cannot effectively analyze the cutting action corresponding to the cutting tool, and thus cannot accurately determine the degree of wear of the cutting tool, which is not conducive to timely replacement of the cutting tool, resulting in certain safety hazards in the quality of the produced workpiece and reducing the production efficiency of the produced workpiece.

[0004] 2. Modern tool monitoring technology mainly monitors and analyzes the appearance of cutting tools or the flatness of workpieces, without conducting a comprehensive analysis. This not only causes the analysis of the wear status of cutting tools to be singular and one-sided, but also fails to provide strong data support for the subsequent processing of cutting tools, resulting in a certain delay in the replacement and processing of cutting tools, further causing an increase in processing costs and failing to ensure production efficiency and workpiece quality. Summary of the invention

[0005] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an online monitoring system for tool status of a CNC machining center, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A CNC machining center tool status online monitoring system, including: a cutting process preprocessing module, which is used to obtain a cutting process video corresponding to a target cutting action, and preprocess the cutting process video corresponding to the target cutting action, and at the same time monitor the duration, frequency and vibration amplitude of each sound wave generated by a designated tool in the cutting process corresponding to the target cutting action, which are recorded as the duration, frequency and vibration amplitude of each sound wave corresponding to the designated tool in the target cutting action.

[0007] The cutting process state analysis module is used to analyze the cutting process state corresponding to the target cutting action to obtain the cutting process state evaluation coefficient corresponding to the target cutting action, wherein the cutting process state analysis module includes a tool jam analysis unit, a tool wear state analysis unit and a cutting process state analysis unit.

[0008] The cutting process warning analysis and display module is used to analyze the cutting process level corresponding to the target cutting action. If the cutting process level corresponding to the target cutting action is the warning level, a warning display is performed; otherwise, a cutting process level display is performed.

[0009] The cutting completion preprocessing module is used to acquire the designated tool image and the processed workpiece image corresponding to the cutting completion in the target cutting action, and obtain the parameter set corresponding to the cutting completion in the target cutting action.

[0010] The cutting completion status analysis module is used to analyze the cutting completion status corresponding to the target cutting action to obtain the tool cutting integrity compliance coefficient of the target cutting action after the cutting is completed, wherein the cutting completion status analysis module includes a tool appearance analysis unit, a workpiece processing analysis unit and a cutting completion status analysis unit.

[0011] The cutting completion warning analysis and display module is used to analyze the cutting completion status corresponding to the target cutting action and display it accordingly.

[0012] As a further improvement of the present invention, the cutting process video corresponding to the target cutting action is preprocessed, and the specific preprocessing method is as follows: the cutting video corresponding to the target cutting action is adjusted according to a preset slow playback speed, and the time point when the specified tool and the workpiece are first contacted is extracted therefrom, recorded as the start time point, and the time point when the specified tool and the workpiece are last contacted is extracted therefrom, recorded as the end time point.

[0013] A video segment from the start time point to the end time point is extracted from the cut video corresponding to the target cutting action, and is recorded as the target cutting video segment corresponding to the target cutting action.

[0014] As a further improvement of the present invention, the tool jam analysis unit is used to analyze the target cutting video segment corresponding to the target cutting action, and the specific analysis process is as follows: based on the target cutting video segment corresponding to the target cutting action, the cutting time corresponding to the target cutting action is obtained to obtain the cutting time corresponding to the target cutting action, which is recorded as T.

[0015] The designated tool jam image corresponding to the target cutting action is extracted from the target cutting video clip corresponding to the target cutting action, and the height of each designated tool jam in the target cutting action is obtained from each designated tool jam image corresponding to the target cutting action, and the height of each designated tool jam in the target cutting action is obtained, which is recorded as H i ,i represents the number of each specified tool jam, i=1,2,......,n, and the number of specified tool jams is counted and recorded as N.

[0016] According to the formula The tool jamming assessment coefficient corresponding to the target cutting action is calculated, φ is represented as the tool jamming assessment coefficient corresponding to the target cutting action, e is represented as a natural constant, T′, H′, N′ are represented as the set reference cutting time, reference specified tool jamming height, and allowed specified tool jamming times, ΔH is represented as the set allowed specified tool jamming height difference, a1, a2, and a3 are represented as the weight factors corresponding to the set cutting time, specified tool jamming height, and specified tool jamming times, respectively.

[0017] As a further improvement of the present invention, the tool wear state analysis unit is used to analyze the wear state of the specified tool corresponding to the target cutting action. The specific analysis method is: the vibration amplitudes of the specified tool corresponding to each sound wave in the target cutting action are arranged in order from large to small, and the maximum vibration amplitude, the minimum vibration amplitude, the concentrated vibration amplitude, and the midpoint vibration amplitude are extracted therefrom, which are respectively recorded as F max 、F min 、F mod 、F mid , and the vibration amplitude stability index corresponding to the specified tool in the target cutting action is obtained by calculation, which is recorded as

[0018] The frequency of each sound wave corresponding to the specified tool in the target cutting action is matched with the reference duration corresponding to the various sound wave frequencies set, and the reference duration of each sound wave corresponding to the specified tool in the target cutting action is obtained, which is recorded as T j ′, j represents the number of each sound wave, j=1,2,......,m.

[0019] The sound waves corresponding to the designated tool in the target cutting action are matched with the reference frequencies corresponding to the set sound waves to obtain the reference frequencies of the sound waves corresponding to the designated tool in the target cutting action, which are recorded as P j ′, the frequency matching index corresponding to the specified tool in the target cutting action is obtained by calculation, which is recorded as

[0020] According to the formula The wear state evaluation coefficient of the specified tool corresponding to the target cutting action is calculated, γ is represented by the wear state evaluation coefficient of the specified tool corresponding to the target cutting action, b1 and b2 are represented by the influencing factors corresponding to the set vibration amplitude stability index and frequency compliance index respectively.

[0021] As a further improvement of the present invention, the vibration amplitude stability index corresponding to the specified tool in the target cutting action is specifically calculated as follows: Calculate the vibration amplitude stability index corresponding to the specified tool in the target cutting action, F m ' ax 、F m ' in 、F m ' od 、F m ' id They are respectively represented by the set reference maximum vibration amplitude, reference minimum vibration amplitude, reference concentrated vibration amplitude, and reference midpoint vibration amplitude, ΔF max , ΔF min , ΔF mod , ΔF mid They respectively represent the set maximum allowable vibration amplitude difference, the minimum allowable vibration amplitude difference, the concentrated vibration amplitude difference, and the midpoint vibration amplitude difference; q1, q2, q3, and q4 respectively represent the influencing factors corresponding to the set maximum vibration amplitude, minimum vibration amplitude, concentrated vibration amplitude, and midpoint vibration amplitude.

[0022] As a further improvement of the present invention, the cutting process state analysis unit is used to analyze the cutting process state evaluation coefficient corresponding to the target cutting action, and its specific analysis formula is: η is represented by the cutting process state evaluation coefficient corresponding to the target cutting action, and c1 and c2 are respectively represented by the coefficient factors corresponding to the set tool jam evaluation coefficient and wear state evaluation coefficient.

[0023] As a further improvement of the present invention, the tool appearance analysis unit is used to analyze the designated tool that has completed cutting in the target cutting action, and the specific analysis process is as follows: based on the blade thickness image of the designated tool corresponding to the cutting completed in the target cutting action, the detection points are evenly arranged in the blade thickness image, and the blade thickness corresponding to the position of each detection point in the blade thickness image is obtained at the same time, and the blade thickness uniformity index of the designated tool corresponding to the cutting completed in the target cutting action is obtained by calculation, which is recorded as λ1.

[0024] The area of ​​the tool tip corresponding to the designated tool is extracted from the tool tip image of the designated tool corresponding to the target cutting action, which is recorded as S. At the same time, the wear area and scratch length of the tool body corresponding to the designated tool are extracted from the tool body image of the designated tool corresponding to the target cutting action, which are recorded as S1 and L respectively. The tool state evaluation index of the designated tool corresponding to the target cutting action is obtained by calculation, which is recorded as λ2.

[0025] According to the formula Calculate the specified tool appearance evaluation coefficient corresponding to the cutting completion in the target cutting action, It is represented as the specified tool appearance evaluation coefficient corresponding to the cutting completion in the target cutting action, and b3 and b4 are respectively represented as the weight factors corresponding to the set blade thickness uniformity index and tool state evaluation index.

[0026] As a further improvement of the present invention, the processed workpiece analysis unit is used to analyze the processed workpiece that has been cut in the target cutting action, and the specific analysis method is as follows: based on the designated cutting surface image of the corresponding processed workpiece that has been cut in the target cutting action, the flatness detection points are evenly arranged at the designated cutting surface corresponding to the processed workpiece, and at the same time, the designated distance corresponding to each flatness detection point in the designated cutting surface image is obtained, which is recorded as l f , f represents the number of each flatness detection point, f = 1, 2, ..., g, and the maximum specified distance and the minimum specified distance are selected and recorded as l max and l min , and then count the average designated distance corresponding to the cutting completion in the target cutting action, recorded as

[0027] According to the formula The flatness evaluation coefficient of the processed workpiece cut in the target cutting action is calculated, σ is represented by the flatness evaluation coefficient of the processed workpiece cut in the target cutting action, Δl is represented by the set allowable specified distance difference, l′ is represented by the set reference specified distance, d1, d2, and d3 are represented by the weight factors corresponding to the set maximum specified distance, minimum specified distance, and specified distance difference, respectively.

[0028] As a further improvement of the present invention, the cutting completion state analysis unit is used to analyze the tool cutting integrity compliance coefficient after the target cutting action is completed. The specific analysis formula is: ω represents the tool cutting integrity compliance coefficient of the target cutting action after the cutting is completed, and c3 and c4 represent the coefficient factors corresponding to the set specified tool appearance evaluation coefficient and the processed workpiece flatness evaluation coefficient, respectively.

[0029] As a further improvement of the present invention, the cutting completion status corresponding to the target cutting action is analyzed, and the specific analysis method is: comparing the tool cutting integrity compliance coefficient of the target cutting action after cutting is completed with the set tool cutting integrity compliance coefficient threshold. If the tool cutting integrity compliance coefficient of the target cutting action after cutting is completed is less than the tool cutting integrity compliance coefficient threshold, then the cutting completion status corresponding to the target cutting action is judged to be an abnormal state; otherwise, the cutting completion status corresponding to the target cutting action is judged to be a normal state.

[0030] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The present invention obtains the cutting process video corresponding to the target cutting action through an intelligent camera, and obtains the height and number of each specified tool jam in the target cutting action, and then comprehensively analyzes to obtain the tool jam evaluation coefficient corresponding to the target cutting action, which effectively makes up for the shortcomings of modern tool monitoring technology in analyzing the jam height and number of jams corresponding to the specified tool in the cutting process video, greatly improves the reliability and effectiveness of the cutting action analysis corresponding to the specified tool, and to a large extent provides strong data support for the cutting process state evaluation coefficient corresponding to the target cutting action, thereby greatly increasing the timeliness and response efficiency of replacing the specified tool, effectively avoiding the safety hazards of workpiece quality processing, and improving the processing efficiency of workpiece processing.

[0031] 2. The present invention monitors the duration, frequency and vibration amplitude of each sound wave generated by the designated tool in the cutting process corresponding to the target cutting action, thereby reflecting the wear status of the designated tool in the cutting process corresponding to the target cutting action, and then obtains the wear status assessment coefficient of the designated tool in the target cutting action through analysis, thereby realizing a multi-dimensional analysis of the designated tool in the cutting process corresponding to the target cutting action, avoiding the one-sidedness and singularity of the analysis results of the wear status of the designated tool, and further ensuring the accuracy, scientificity and reliability of the cutting process status assessment coefficient corresponding to the target cutting action.

[0032] 3. The present invention obtains the designated tool image and the processed workpiece image corresponding to the cutting completed in the target cutting action, and extracts the blade thickness image, the tool tip image, the tool body image and the designated cutting surface image of the processed workpiece of the designated tool corresponding to the cutting completed in the target cutting action, and simultaneously obtains the designated tool appearance evaluation coefficient and the processed workpiece flatness evaluation coefficient corresponding to the cutting completed in the target cutting action through analysis, and then obtains the tool cutting good state compliance coefficient of the target cutting action after the cutting is completed through comprehensive analysis. On the one hand, it realizes the multi-dimensional analysis of the tool cutting good state compliance coefficient corresponding to the target cutting action, and effectively avoids the singleness and one-sidedness of the designated tool state analysis results; on the other hand, it provides strong data support for the subsequent processing of the designated tool, greatly improves the timeliness of the replacement and processing of the designated tool, avoids the increase of processing cost to a large extent, and effectively ensures the production efficiency and the quality of the produced workpiece. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0034] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention.

[0035] Figure 2 This is a connection diagram of the cutting process state analysis module of the present invention.

[0036] Figure 3 This is a connection diagram of the cutting completion status analysis module of the present invention.

[0037] Figure 4 It is a schematic diagram of the knife tip of the present invention.

[0038] Figure 5 It is a schematic diagram of the cutting action of the present invention. DETAILED DESCRIPTION

[0039] 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.

[0040] Reference Figure 1As shown, the present invention provides an online monitoring system for tool status of a CNC machining center, including a cutting process preprocessing module, a cutting process status analysis module, a cutting process early warning analysis and display module, a cutting completion preprocessing module, a cutting completion status analysis module and a cutting completion early warning analysis and display module.

[0041] The cutting process preprocessing module is connected to the cutting process status analysis module, the cutting process status analysis module is connected to the cutting process early warning analysis and display module, the cutting completion preprocessing module is connected to the cutting completion status analysis module, and the cutting completion status analysis module is connected to the cutting completion early warning analysis and display module.

[0042] The cutting process preprocessing module is used to obtain the cutting process video corresponding to the target cutting action, and preprocess the cutting process video corresponding to the target cutting action. At the same time, the duration, frequency and vibration amplitude of each sound wave generated by the designated tool in the cutting process of the target cutting action are monitored, and recorded as the duration, frequency and vibration amplitude of each sound wave corresponding to the designated tool in the target cutting action.

[0043] As a further improvement of the present invention, the cutting process video corresponding to the target cutting action is preprocessed, and the specific preprocessing method is as follows: the cutting video corresponding to the target cutting action is adjusted according to a preset slow playback speed, and the time point when the specified tool and the workpiece are first contacted is extracted therefrom, recorded as the start time point, and the time point when the specified tool and the workpiece are last contacted is extracted therefrom, recorded as the end time point.

[0044] A video segment from the start time point to the end time point is extracted from the cut video corresponding to the target cutting action, and is recorded as the target cutting video segment corresponding to the target cutting action.

[0045] It should be noted that the duration, frequency and vibration amplitude of each sound wave generated by the designated tool in the cutting process of the target cutting action are monitored, and the specific monitoring method is: the duration, frequency and vibration amplitude of each sound wave generated by the designated tool in the cutting process of the target cutting action are monitored by an acoustic emission sensor.

[0046] Reference Figure 2 As shown, the cutting process state analysis module is used to analyze the cutting process state corresponding to the target cutting action to obtain the cutting process state evaluation coefficient corresponding to the target cutting action, wherein the cutting process state analysis module includes a tool jam analysis unit, a tool wear state analysis unit and a cutting process state analysis unit.

[0047] As a further improvement of the present invention, the tool jam analysis unit is used to analyze the target cutting video segment corresponding to the target cutting action, and the specific analysis process is as follows: based on the target cutting video segment corresponding to the target cutting action, the cutting time corresponding to the target cutting action is obtained to obtain the cutting time corresponding to the target cutting action, which is recorded as T.

[0048] The designated tool jam image corresponding to the target cutting action is extracted from the target cutting video clip corresponding to the target cutting action, and the height of each designated tool jam in the target cutting action is obtained from each designated tool jam image corresponding to the target cutting action, and the height of each designated tool jam in the target cutting action is obtained, which is recorded as H i ,i represents the number of each specified tool jam, i=1,2,......,n, and the number of specified tool jams is counted and recorded as N.

[0049] It should be noted that the purpose of acquiring the jamming image of the specified tool is to monitor and analyze the sharpness of the specified tool, thereby determining the corresponding degree of wear of the specified tool and then performing corresponding processing.

[0050] According to the formula The tool jamming assessment coefficient corresponding to the target cutting action is calculated, φ is represented as the tool jamming assessment coefficient corresponding to the target cutting action, e is represented as a natural constant, T′, H′, N′ are represented as the set reference cutting time, reference specified tool jamming height, and allowed specified tool jamming times, ΔH is represented as the set allowed specified tool jamming height difference, a1, a2, and a3 are represented as the weight factors corresponding to the set cutting time, specified tool jamming height, and specified tool jamming times, respectively.

[0051] In a specific embodiment, the jamming phenomenon of the designated tool is usually manifested as: after the designated tool performs a cutting action on the workpiece, the designated tool has a short jamming phenomenon and then moves back to the set designated position.

[0052] In a specific embodiment, the present invention acquires the cutting process video corresponding to the target cutting action through an intelligent camera, and obtains the height and number of each specified tool jam in the target cutting action, and then comprehensively analyzes to obtain the tool jam evaluation coefficient corresponding to the target cutting action, which effectively makes up for the deficiency of modern tool monitoring technology in analyzing the jam height and number of jams corresponding to the specified tool in the cutting process video, greatly improves the reliability and effectiveness of the cutting action analysis corresponding to the specified tool, and to a large extent provides strong data support for the cutting process state evaluation coefficient corresponding to the target cutting action, thereby greatly increasing the timeliness and response efficiency of replacing the specified tool, effectively avoiding the safety hazards in the quality of workpiece processing, and improving the processing efficiency of workpiece processing.

[0053] As a further improvement of the present invention, the tool wear state analysis unit is used to analyze the wear state of the specified tool corresponding to the target cutting action. The specific analysis method is: the vibration amplitudes of the specified tool corresponding to each sound wave in the target cutting action are arranged in order from large to small, and the maximum vibration amplitude, the minimum vibration amplitude, the concentrated vibration amplitude, and the midpoint vibration amplitude are extracted therefrom, which are respectively recorded as F max 、F min 、F mod 、F mid , and the vibration amplitude stability index corresponding to the specified tool in the target cutting action is obtained by calculation, which is recorded as

[0054] It should be noted that the concentrated vibration amplitude and the midpoint vibration amplitude are respectively the mode and the median of the vibration amplitude corresponding to the designated tool in the target cutting action.

[0055] If the mode of the vibration amplitude corresponding to the specified tool in the target cutting action is multiple, the average value is taken as the concentrated vibration amplitude.

[0056] As a further improvement of the present invention, the vibration amplitude stability index corresponding to the specified tool in the target cutting action is specifically calculated as follows: Calculate the vibration amplitude stability index corresponding to the specified tool in the target cutting action, F m ' ax 、F m ' in 、F m ' od 、F m ' id They are respectively represented by the set reference maximum vibration amplitude, reference minimum vibration amplitude, reference concentrated vibration amplitude, and reference midpoint vibration amplitude, ΔF max , ΔF min , ΔF mod , ΔF mid They respectively represent the set maximum allowable vibration amplitude difference, the minimum allowable vibration amplitude difference, the concentrated vibration amplitude difference, and the midpoint vibration amplitude difference; q1, q2, q3, and q4 respectively represent the influencing factors corresponding to the set maximum vibration amplitude, minimum vibration amplitude, concentrated vibration amplitude, and midpoint vibration amplitude.

[0057] The frequency of each sound wave corresponding to the specified tool in the target cutting action is matched with the reference duration corresponding to the various sound wave frequencies set, and the reference duration of each sound wave corresponding to the specified tool in the target cutting action is obtained, which is recorded as T j ′, j represents the number of each sound wave, j=1,2,......,m.

[0058] The sound waves corresponding to the designated tool in the target cutting action are matched with the reference frequencies corresponding to the set sound waves to obtain the reference frequencies of the sound waves corresponding to the designated tool in the target cutting action, which are recorded as P j ′, the frequency matching index corresponding to the specified tool in the target cutting action is obtained by calculation, which is recorded as

[0059] It should be noted that according to the formula Calculate the frequency matching index corresponding to the specified tool in the target cutting action, T j , P j They respectively represent the duration and frequency of each sound wave corresponding to the specified tool in the target cutting action, ΔT and ΔP respectively represent the set allowable duration difference and allowable frequency difference, and q5 and q6 respectively represent the influencing factors corresponding to the set duration and frequency.

[0060] According to the formula The wear state evaluation coefficient of the specified tool corresponding to the target cutting action is calculated, γ is represented by the wear state evaluation coefficient of the specified tool corresponding to the target cutting action, b1 and b2 are represented by the influencing factors corresponding to the set vibration amplitude stability index and frequency compliance index respectively.

[0061] In a specific embodiment, the present invention monitors the duration, frequency and vibration amplitude of each sound wave generated by a designated tool in the cutting process corresponding to the target cutting action, thereby reflecting the wear status of the designated tool in the cutting process corresponding to the target cutting action, and then obtains the wear status assessment coefficient of the designated tool in the target cutting action through analysis, thereby realizing a multi-dimensional analysis of the designated tool in the cutting process corresponding to the target cutting action, avoiding the one-sidedness and singularity of the analysis results of the wear status of the designated tool, and further ensuring the accuracy, scientificity and reliability of the cutting process status assessment coefficient corresponding to the target cutting action.

[0062] As a further improvement of the present invention, the cutting process state analysis unit is used to analyze the cutting process state evaluation coefficient corresponding to the target cutting action, and its specific analysis formula is: η is represented by the cutting process state evaluation coefficient corresponding to the target cutting action, and c1 and c2 are respectively represented by the coefficient factors corresponding to the set tool jam evaluation coefficient and wear state evaluation coefficient.

[0063] The cutting process warning analysis and display module is used to analyze the cutting process level corresponding to the target cutting action. If the cutting process level corresponding to the target cutting action is the warning level, a warning display is performed; otherwise, a cutting process level display is performed.

[0064] It should be noted that the cutting process state assessment coefficient corresponding to the target cutting action is subjected to early warning analysis, and its specific analysis method is: comparing the cutting process state assessment coefficient corresponding to the target cutting action with the cutting process state assessment coefficients corresponding to the various set cutting process levels, to obtain the cutting process level corresponding to the target cutting action.

[0065] The cutting completion preprocessing module is used to acquire the designated tool image and the processed workpiece image corresponding to the cutting completion in the target cutting action, and obtain the parameter set corresponding to the cutting completion in the target cutting action.

[0066] It should be noted that the designated tool image corresponding to the cutting completed in the target cutting action and the processed workpiece image are obtained in the following specific manner: the designated tool image corresponding to the cutting completed in the target cutting action is obtained by using an intelligent camera, and the blade thickness corresponding to the designated tool image is magnified and focused to obtain the blade thickness image of the designated tool corresponding to the cutting completed in the target cutting action, and at the same time, the tool tip portion corresponding to the designated tool image is magnified and focused to obtain the tool tip portion image of the designated tool corresponding to the cutting completed in the target cutting action.

[0067] It should be noted that, refer to Figure 4 As shown, the tool tip portion of the designated tool is specifically: the area formed between the tool tip of the designated tool and the set marking line is recorded as the tool tip portion.

[0068] The blade body part image corresponding to the designated tool image completed in the target cutting action is magnified and focused to obtain the blade body part image corresponding to the designated tool completed in the target cutting action.

[0069] The image of the processed workpiece after cutting in the target cutting action is acquired by the intelligent camera, so as to obtain the designated cutting surface image of the corresponding processed workpiece after cutting in the target cutting action.

[0070] The parameter set corresponding to the cutting completion in the target cutting action is composed of the blade thickness image, the tool tip image, the blade body image and the designated cutting surface image of the workpiece corresponding to the cutting completion in the target cutting action.

[0071] The cutting completion status analysis module is used to analyze the cutting completion status corresponding to the target cutting action to obtain the tool cutting integrity compliance coefficient of the target cutting action after the cutting is completed, wherein the cutting completion status analysis module includes a tool appearance analysis unit, a workpiece processing analysis unit and a cutting completion status analysis unit.

[0072] As a further improvement of the present invention, the tool appearance analysis unit is used to analyze the designated tool that has completed cutting in the target cutting action, and the specific analysis process is as follows: based on the blade thickness image of the designated tool corresponding to the cutting completed in the target cutting action, the detection points are evenly arranged in the blade thickness image, and the blade thickness corresponding to the position of each detection point in the blade thickness image is obtained at the same time, and the blade thickness uniformity index of the designated tool corresponding to the cutting completed in the target cutting action is obtained by calculation, which is recorded as λ1.

[0073] It should be noted that according to the formula Calculate the blade thickness uniformity index of the specified tool corresponding to the target cutting action, h max 、h min , They respectively represent the maximum blade thickness, minimum blade thickness, and average blade thickness of the specified tool corresponding to the cutting completed in the target cutting action, h′ represents the set reference blade thickness, β1, β2, and β3 respectively represent the influencing factors corresponding to the set maximum blade thickness, minimum blade thickness, and average blade thickness.

[0074] The area of ​​the tool tip corresponding to the designated tool is extracted from the tool tip image of the designated tool corresponding to the target cutting action, which is recorded as S. At the same time, the wear area and scratch length of the tool body corresponding to the designated tool are extracted from the tool body image of the designated tool corresponding to the target cutting action, which are recorded as S1 and L respectively. The tool state evaluation index of the designated tool corresponding to the target cutting action is obtained by calculation, which is recorded as λ2.

[0075] It should be noted that according to the formula The tool state evaluation index of the specified tool corresponding to the cutting completion in the target cutting action is calculated, S′ represents the set initial area of ​​the tool tip, S1′ and L′ represent the set allowable wear area and allowable scratch length, respectively, and β4, β5, and β6 represent the influencing factors corresponding to the tool tip area, wear area, and scratch length, respectively.

[0076] According to the formula Calculate the specified tool appearance evaluation coefficient corresponding to the cutting completion in the target cutting action, It is represented as the specified tool appearance evaluation coefficient corresponding to the cutting completion in the target cutting action, and b3 and b4 are respectively represented as the weight factors corresponding to the set blade thickness uniformity index and tool state evaluation index.

[0077] As a further improvement of the present invention, the processed workpiece analysis unit is used to analyze the processed workpiece that has been cut in the target cutting action, and the specific analysis method is as follows: based on the designated cutting surface image of the corresponding processed workpiece that has been cut in the target cutting action, the flatness detection points are evenly arranged at the designated cutting surface corresponding to the processed workpiece, and at the same time, the designated distance corresponding to each flatness detection point in the designated cutting surface image is obtained, which is recorded as l f , f represents the number of each flatness detection point, f = 1, 2, ..., g, and the maximum specified distance and the minimum specified distance are selected and recorded as l max and l min , and then count the average designated distance corresponding to the cutting completion in the target cutting action, recorded as

[0078] It should be noted that, refer to Figure 5 As shown, the specified distance is specifically the distance between each flatness detection point on the specified cutting surface and the set tail end of the processed workpiece.

[0079] According to the formula The flatness evaluation coefficient of the processed workpiece cut in the target cutting action is calculated, σ is represented by the flatness evaluation coefficient of the processed workpiece cut in the target cutting action, Δl is represented by the set allowable specified distance difference, l′ is represented by the set reference specified distance, d1, d2, and d3 are represented by the weight factors corresponding to the set maximum specified distance, minimum specified distance, and specified distance difference, respectively.

[0080] As a further improvement of the present invention, the cutting completion state analysis unit is used to analyze the tool cutting integrity compliance coefficient after the target cutting action is completed. The specific analysis formula is: ω represents the tool cutting integrity compliance coefficient of the target cutting action after the cutting is completed, and c3 and c4 represent the coefficient factors corresponding to the set specified tool appearance evaluation coefficient and the processed workpiece flatness evaluation coefficient, respectively.

[0081] In a specific embodiment, the present invention obtains the designated tool image and the processed workpiece image corresponding to the cutting completed in the target cutting action, and extracts the blade thickness image, the tool tip image, the tool body image and the designated cutting surface image of the processed workpiece of the designated tool corresponding to the cutting completed in the target cutting action, and at the same time obtains the designated tool appearance evaluation coefficient and the processed workpiece flatness evaluation coefficient corresponding to the cutting completed in the target cutting action through analysis, and then comprehensively analyzes to obtain the tool cutting good state compliance coefficient of the target cutting action after the cutting is completed. On the one hand, it realizes a multi-dimensional analysis of the tool cutting good state compliance coefficient corresponding to the target cutting action, and effectively avoids the singleness and one-sidedness of the designated tool state analysis results; on the other hand, it provides strong data support for the subsequent processing of the designated tool, greatly improves the timeliness of the replacement and processing of the designated tool, avoids the increase in processing costs to a large extent, and effectively ensures production efficiency and production workpiece quality.

[0082] The cutting completion warning analysis and display module is used to analyze the cutting completion status corresponding to the target cutting action and display it accordingly.

[0083] As a further improvement of the present invention, the cutting completion status corresponding to the target cutting action is analyzed, and the specific analysis method is: comparing the tool cutting integrity compliance coefficient of the target cutting action after cutting is completed with the set tool cutting integrity compliance coefficient threshold. If the tool cutting integrity compliance coefficient of the target cutting action after cutting is completed is less than the tool cutting integrity compliance coefficient threshold, then the cutting completion status corresponding to the target cutting action is judged to be an abnormal state; otherwise, the cutting completion status corresponding to the target cutting action is judged to be a normal state.

[0084] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field 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 structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A CNC machining center tool status online monitoring system, characterized in that: include: A cutting process preprocessing module is used to obtain a cutting process video corresponding to a target cutting action, and preprocess the cutting process video corresponding to the target cutting action, and monitor the duration, frequency and vibration amplitude of each sound wave generated by a designated tool in the cutting process of the target cutting action, and record them as the duration, frequency and vibration amplitude of each sound wave corresponding to the designated tool in the target cutting action; A cutting process state analysis module is used to analyze the cutting process state corresponding to the target cutting action to obtain a cutting process state evaluation coefficient corresponding to the target cutting action, wherein the cutting process state analysis module includes a tool jam analysis unit, a tool wear state analysis unit and a cutting process state analysis unit; The cutting process warning analysis and display module is used to analyze the cutting process level corresponding to the target cutting action. If the cutting process level corresponding to the target cutting action is the warning level, a warning display is performed; otherwise, a cutting process level display is performed; A cutting completion preprocessing module is used to obtain a designated tool image and a processed workpiece image corresponding to the cutting completion in the target cutting action, and obtain a parameter set corresponding to the cutting completion in the target cutting action; A cutting completion state analysis module is used to analyze the cutting completion state corresponding to the target cutting action to obtain the tool cutting integrity compliance coefficient after the target cutting action is completed, wherein the cutting completion state analysis module includes a tool appearance analysis unit, a workpiece processing analysis unit and a cutting completion state analysis unit; The cutting completion warning analysis and display module is used to analyze the cutting completion status corresponding to the target cutting action and display it accordingly; The tool jam analysis unit is used to analyze the target cutting video segment corresponding to the target cutting action, and the specific analysis process is as follows: Based on the target cutting video segment corresponding to the target cutting action, the cutting duration corresponding to the target cutting action is obtained, and the cutting duration corresponding to the target cutting action is obtained, which is recorded as T; The designated tool jam image corresponding to the target cutting action is extracted from the target cutting video clip corresponding to the target cutting action, and the height of each designated tool jam in the target cutting action is obtained from each designated tool jam image corresponding to the target cutting action. The height of each designated tool jam in the target cutting action is obtained, which is recorded as ,i represents the number of each specified tool jam, , and count the number of times the specified tool is stuck, recorded as ; According to the formula Calculate the tool jamming evaluation coefficient corresponding to the target cutting action, It is represented as the tool jamming evaluation coefficient corresponding to the target cutting action, and e is represented as a natural constant. It indicates the set reference cutting time, the reference specified tool jam height, and the allowed specified tool jam times. Indicates the set allowable height difference of the specified tool. They are respectively represented as the weight factors corresponding to the set cutting time, the specified tool jam height, and the specified tool jam times; The tool wear state analysis unit is used to analyze the specified tool wear state corresponding to the target cutting action, and the specific analysis method is: The vibration amplitudes of the designated tool in the target cutting action corresponding to each sound wave are arranged in order from large to small, and the maximum vibration amplitude, minimum vibration amplitude, concentrated vibration amplitude, and midpoint vibration amplitude are extracted from them, which are recorded as , and the vibration amplitude stability index corresponding to the specified tool in the target cutting action is obtained by calculation, which is recorded as ; The frequency of each sound wave corresponding to the specified tool in the target cutting action is matched with the reference duration corresponding to the various sound wave frequencies set, and the reference duration of each sound wave corresponding to the specified tool in the target cutting action is obtained, which is recorded as , j represents the number of each sound wave, ; The acoustic waves corresponding to the designated tool in the target cutting action are matched with the reference frequencies corresponding to the set acoustic waves to obtain the reference frequencies of the acoustic waves corresponding to the designated tool in the target cutting action, which are recorded as , the frequency matching index corresponding to the specified tool in the target cutting action is obtained by calculation, which is recorded as ; According to the formula Calculate the frequency matching index corresponding to the specified tool in the target cutting action, They represent the duration and frequency of each sound wave corresponding to the specified tool in the target cutting action. They are respectively expressed as setting the allowed duration difference and the allowed frequency difference. They are respectively expressed as the impact factors corresponding to the set duration and frequency; According to the formula Calculate the wear state assessment coefficient of the specified tool corresponding to the target cutting action, It is expressed as the wear state evaluation coefficient of the specified tool corresponding to the target cutting action, They are respectively expressed as the influence factors corresponding to the set vibration amplitude stability index and frequency compliance index; The specific calculation formula of the vibration amplitude stability index corresponding to the specified tool in the target cutting action is: Calculate the vibration amplitude stability index corresponding to the specified tool in the target cutting action, They are respectively represented by the set reference maximum vibration amplitude, reference minimum vibration amplitude, reference concentrated vibration amplitude, and reference midpoint vibration amplitude. They are respectively expressed as the set maximum allowable vibration amplitude difference, the minimum allowable vibration amplitude difference, the allowable concentrated vibration amplitude difference, and the allowable midpoint vibration amplitude difference. They are respectively expressed as the influence factors corresponding to the set maximum vibration amplitude, minimum vibration amplitude, concentrated vibration amplitude, and midpoint vibration amplitude; The cutting process state analysis unit is used to analyze the cutting process state evaluation coefficient corresponding to the target cutting action, and its specific analysis formula is: , It is expressed as the cutting process state evaluation coefficient corresponding to the target cutting action, They are respectively represented as the coefficient factors corresponding to the set tool jamming assessment coefficient and wear state assessment coefficient.

2. The CNC machining center tool status online monitoring system according to claim 1, characterized in that: The cutting process video corresponding to the target cutting action is preprocessed, and the specific preprocessing method is as follows: The cutting video corresponding to the target cutting action is adjusted according to the preset slow playback speed, and the time point when the designated tool and the workpiece are first in contact is extracted from the video, which is recorded as the start time point, and the time point when the designated tool and the workpiece are last in contact is extracted from the video, which is recorded as the end time point; A video segment from the start time point to the end time point is extracted from the cut video corresponding to the target cutting action, and is recorded as the target cutting video segment corresponding to the target cutting action.

3. The CNC machining center tool status online monitoring system according to claim 1, characterized in that: The tool appearance analysis unit is used to analyze the designated tool that has completed cutting in the target cutting action, and the specific analysis process is as follows: Based on the blade thickness image of the designated tool corresponding to the cutting completion in the target cutting action, the detection points are evenly arranged in the blade thickness image, and the blade thickness corresponding to each detection point position in the blade thickness image is obtained. The blade thickness uniformity index of the designated tool corresponding to the cutting completion in the target cutting action is obtained by calculation, which is recorded as ; The area of ​​the designated tool tip is extracted from the image of the designated tool tip after the target cutting action is completed, which is recorded as S. At the same time, the wear area and scratch length of the designated tool body are extracted from the image of the designated tool body after the target cutting action is completed, which are recorded as and L, and the tool state evaluation index of the specified tool corresponding to the cutting completion in the target cutting action is obtained by calculation, which is recorded as ; According to the formula Calculate the specified tool appearance evaluation coefficient corresponding to the cutting completion in the target cutting action, It is represented by the specified tool appearance evaluation coefficient corresponding to the cutting completion in the target cutting action, They are respectively represented as the weight factors corresponding to the set blade thickness uniformity index and tool state evaluation index.

4. The CNC machining center tool status online monitoring system according to claim 3 is characterized by: The processed workpiece analysis unit is used to analyze the processed workpiece that has been cut in the target cutting action, and the specific analysis method is as follows: Based on the designated cutting surface image of the workpiece processed in the target cutting action, the flatness detection points are evenly arranged at the designated cutting surface corresponding to the workpiece, and the designated distance corresponding to each flatness detection point in the designated cutting surface image is obtained, which is recorded as , f represents the number of each flatness detection point, , and select the maximum specified distance and the minimum specified distance from them, which are recorded as and , and then count the average designated distance corresponding to the cutting completion in the target cutting action, recorded as ; According to the formula Calculate the flatness evaluation coefficient of the workpiece that has been cut in the target cutting action. It is expressed as the flatness evaluation coefficient of the workpiece processed after cutting in the target cutting action. Indicates the allowed specified distance difference set. Indicates the specified distance for the reference setting. They are respectively represented as the weight factors corresponding to the set maximum specified distance, minimum specified distance, and specified distance difference.

5. The CNC machining center tool status online monitoring system according to claim 4, characterized in that: The cutting completion state analysis unit is used to analyze the tool cutting integrity compliance coefficient after the target cutting action is completed. The specific analysis formula is: , It is expressed as the tool cutting integrity coefficient after the target cutting action is completed. They are respectively represented as the coefficient factors corresponding to the specified tool appearance evaluation coefficient and the processed workpiece flatness evaluation coefficient.

6. The CNC machining center tool status online monitoring system according to claim 1, characterized in that: The cutting completion state corresponding to the target cutting action is analyzed in the following specific analysis method: The tool cutting intact state compliance coefficient of the target cutting action after cutting is completed is compared with the set tool cutting intact state compliance coefficient threshold. If the tool cutting intact state compliance coefficient of the target cutting action after cutting is completed is less than the tool cutting intact state compliance coefficient threshold, the cutting completion state corresponding to the target cutting action is judged to be an abnormal state; otherwise, the cutting completion state corresponding to the target cutting action is judged to be a normal state.

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