Multi-dimensional cooperative control method for vibration of centerless grinding machine based on multi-source information fusion

Abstract

The invention discloses a multi-dimensional cooperative control method for vibration of a centerless grinding machine based on multi-source information fusion, relates to the technical field of mechanical engineering, and effectively solves the problems of complexity and stability dependence of a control system by implementing the multi-dimensional cooperative control method for vibration of the centerless grinding machine based on the multi-source information fusion. By means of multi-dimensional sensor data, rapid and accurate vibration risk assessment and dynamic adjustment are achieved, the production efficiency is remarkably improved, and the downtime is shortened. In addition, by calculating the workpiece material hardness and the emergency coefficient Ghxs of the grinding pressure and adjusting the vibration control priority, the machining quality is guaranteed, overload of a production line caused by frequent debugging is prevented, and the continuity and stability of the production process are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of mechanical engineering technology, and in particular to a multi-dimensional collaborative control method for vibration of a centerless grinder based on multi-source information fusion. Background Art

[0002] The collaborative vibration control method for centerless grinders originated from research on grinding process stability. With the development of machining technology, this method has gradually gained attention. Vibration control not only improves grinding efficiency but also improves machining quality. In recent years, with the advancement of intelligent manufacturing and automation technologies, vibration control technology has made significant progress and is widely used in precision machining.

[0003] When the centerless grinder vibration collaborative control method is applied to production line commissioning in mass production, the following technical shortcomings often exist:

[0004] Control system complexity: Vibration collaborative control methods typically require complex sensors and control algorithms to monitor and adjust vibrations during the grinding process in real time. This complexity can lead to delayed system responses, impacting grinding efficiency and machining accuracy. Once a system failure occurs, diagnosis and repair become more difficult, leading to extended production line downtime.

[0005] Stability Dependency: The stability of a vibration control system depends on a variety of factors, such as workpiece material, grinding parameters, and tool wear. Failure to effectively monitor or dynamically adjust these factors can lead to vibration control failure, causing processing fluctuations and impacting product quality. Once fluctuations occur, they can lead to frequent commissioning and adjustments on the production line, further increasing the burden on the control system and creating a vicious cycle. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the present invention provides a multi-dimensional collaborative control method for vibration of a centerless grinder based on multi-source information fusion, which solves the technical shortcomings of the background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] A multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion is applied to production line debugging in mass production. It includes the following steps:

[0009] S1. Obtain the centerless grinder's operating environment distribution image and sensor deployment plan in advance, label each centerless grinder and vibration sensor with a serial number, and lock the key monitoring area;

[0010] S2. Real-time monitoring of centerless grinder workpiece material properties, grinding parameters, tool wear status, and vibration data collected by multi-dimensional sensors to form a data set. Based on the data set, advanced data fusion technology is used to analyze the vibration source and its possible transmission path, and a preliminary assessment of the vibration risk level is conducted.

[0011] S3. Calculate the processing emergency coefficient Ghxs for each group of centerless grinders based on the vibration risk level and the preset vibration threshold. Automatically configure the optimal vibration suppression solution for each centerless grinder based on the processing emergency coefficient Ghxs, and simultaneously estimate the vibration impact assessment value Nhz after vibration control.

[0012] S4. Implement the obtained vibration suppression scheme on the corresponding centerless grinder, and monitor the vibration data and processing quality indicators after implementation in real time to evaluate the vibration suppression effect; if the vibration data does not meet the preset control target or the processing quality does not show significant improvement, adjust the vibration suppression scheme, re-evaluate and implement it until a satisfactory control effect is achieved.

[0013] Furthermore, the vibration data information collected by the vibration sensor of the centerless grinder is monitored and recorded in real time, and a vibration data set is generated;

[0014] The vibration data set includes the current vibration levels Vnz, vibration monitoring durations, and vibration safety values ​​Vqz set for the centerless grinders.

[0015] At the same time, the relationship between the corresponding existing vibration levels Vnz and the vibration safety values ​​Vqz of several groups of centerless grinders is judged to determine the machine tools that need to adjust the vibration control strategy from the several groups of centerless grinders.

[0016] The specific judgment content of the relationship between the existing vibration level Vnz and the vibration safety value Vqz is as follows:

[0017] When the existing vibration level Vnz is less than or equal to the vibration safety value Vqz, the corresponding machine tool is determined as a vibration control machine tool to be adjusted and marked;

[0018] When the existing vibration level Vnz>the vibration safety value Vqz, the corresponding machine tool is determined to be a vibration control machine tool to be adjusted.

[0019] Further, based on the plurality of groups of vibration control machine tools to be adjusted obtained in step S2, relevant processing parameters and material information of the plurality of groups of vibration control machine tools to be adjusted are monitored to construct a processing state set;

[0020] Wherein, the processing state set includes several groups of workpiece material hardness Mhz and applied grinding pressure Ysyl of the vibration control machine tool to be adjusted;

[0021] The relative processing emergency coefficient Ghxs of the vibration control machine tool to be adjusted with sequence number i is generated according to the processing state set. The processing emergency coefficient Ghxs of sequence number i is obtained by the following formula:

[0022]

[0023] The meaning of this formula is to evaluate the difference in processing urgency between the vibration control machine tool to be adjusted with serial number i and the vibration control machine tool to be adjusted with serial number n;

[0024] Among them, Mhz i Indicates the hardness of the workpiece material of the vibration control machine tool to be adjusted with serial number i, Mhz n Indicates the hardness of the workpiece material of the vibration control machine tool to be adjusted with serial number n, Ysyl i It represents the applied grinding pressure of the vibration control machine tool to be adjusted with serial number i, Ysyl n It represents the applied grinding pressure of the vibration control machine tool to be adjusted with serial number n, h1 and h2 represent the corresponding workpiece material hardness difference and the corresponding weight coefficient of the applied grinding pressure difference, respectively, and B represents the first correction constant.

[0025] Furthermore, combined with the result of the machining emergency coefficient Ghxs of the serial number i, the adjustment order of the vibration control machine tool to be adjusted of the serial number i is determined, and the specific contents are as follows;

[0026] When the processing emergency coefficient Ghxs of the sequence number i is negative, the priority adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with the current sequence number i will be adjusted before the vibration control machine tool to be adjusted with the sequence number n.

[0027] When the processing emergency coefficient Ghxs of the serial number i is zero, the synchronous adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with the serial number i and the vibration control machine tool to be adjusted with the serial number n can be adjusted for vibration control at the same time;

[0028] When the processing emergency coefficient Ghxs of sequence number i is a positive number, the delayed adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with sequence number i will be adjusted after the vibration control machine tool to be adjusted with sequence number n.

[0029] Furthermore, simultaneously monitoring and recording relevant vibration intensity data information of several groups of vibration control machine tools to be adjusted, wherein the relevant vibration intensity data information includes the average vibration level Pzhz of the several groups of vibration control machine tools to be adjusted and the current vibration frequency Pzhf of the corresponding vibration control machine tools to be adjusted;

[0030] Furthermore, based on the relevant vibration intensity data information, the average vibration level Pzhz of the corresponding vibration control machine tool to be adjusted and the current vibration frequency Pzhf of the corresponding vibration control machine tool to be adjusted are correlated to calculate and obtain the corresponding vibration impact assessment value Nhz. The vibration impact assessment value Nhz is obtained by the following formula:

[0031] Nhz=Pzhz j ×Pzhf j +C;

[0032] The significance of this formula is to predict whether the vibration influence of the vibration control machine tool to be adjusted is within the acceptable range. In this formula, C is the correction constant, and Pzhz j Expressed as the average vibration level of the jth vibration control machine tool to be adjusted, Pzhf j It is represented as the current vibration frequency of the jth vibration control machine tool to be adjusted.

[0033] Furthermore, based on the vibration impact assessment value Nhz and in combination with the existing vibration level Vnz, it is again determined whether the vibration control machine tool to be adjusted can successfully achieve the vibration control target. The specific contents are as follows:

[0034] If the vibration impact assessment value Nhz is greater than the existing vibration level Vnz, it indicates that the vibration control machine tools preliminarily determined to be to be adjusted cannot successfully achieve the vibration control target. In this case, the vibration control machine tools preliminarily determined to be to be adjusted will be able to reach the preliminarily determined vibration control target through technical means.

[0035] If the vibration impact assessment value Nhz ≤ the current vibration level Vnz, it is preliminarily determined that the vibration control machine tool to be adjusted can successfully achieve the vibration control target.

[0036] Furthermore, according to the preliminarily determined vibration control strategy, relevant operating status data information within the preliminarily determined vibration control target is monitored and obtained, wherein the relevant operating status data information includes the total number of control units Zkds, the number of occupied control units Yce, the number of idle control units, and the number of machine tools Jqc that are heading towards the preliminarily determined vibration control target;

[0037] Furthermore, based on the relevant operation status data information, the number of remaining control units Scs for preliminarily determining the vibration control target is calculated and obtained. The number of remaining control units Scs is obtained by the following formula:

[0038] Scs=Zcds-(Yce+Jqc);

[0039] Where Zkds represents the total number of control units, Yce represents the number of occupied control units, and Jqc represents the number of machine tools that are on their way to preliminarily determine the vibration control target.

[0040] Further determining whether the vibration control machine tool to be adjusted with the serial number i can successfully match the initially determined vibration control target based on the adjustment order of the vibration control machine tool to be adjusted with the serial number i and the number of remaining control units Scs;

[0041] When the vibration control machine tool to be adjusted with serial number i can successfully match the preliminarily determined vibration control target, the vibration control machine tool to be adjusted with serial number i will start the instruction to go to the preliminarily determined vibration control destination for control adjustment.

[0042] Furthermore, when the vibration control machine tool to be adjusted with sequence number i fails to successfully match the initially determined vibration control target, the next vibration control target of the vibration control machine tool to be adjusted with sequence number i will be determined again to obtain the distance Jt between the next vibration control target and the vibration control machine tool to be adjusted with sequence number i, and finally determine whether the vibration control machine tool to be adjusted with sequence number i needs to enter the path waiting mode. The specific contents are as follows:

[0043] First, calculate the secondary vibration impact assessment value Nhzc, the specific formula is: Nhzc = Pzhz i ×Jt+C; where Pzhz i It is expressed as the average vibration level of the vibration control machine tool to be adjusted for the i-th machine tool;

[0044] Then compare the secondary vibration impact assessment value Nhzc with the existing vibration level Vnz of the vibration control machine tool to be adjusted with serial number i:

[0045] When the secondary vibration impact assessment value Nhzc is greater than the current vibration level Vnz of the vibration control machine tool to be adjusted with the serial number i, it is determined that the vibration control machine tool to be adjusted with the serial number i needs to enter the path waiting mode;

[0046] When the secondary vibration impact evaluation value Nhzc ≤ the current vibration level Vnz of the vibration control machine tool to be adjusted with serial number i, it is determined that the vibration control machine tool to be adjusted with serial number i does not need to enter the path waiting mode, and will enter the queue adjustment mode of the next vibration control target.

[0047] The present invention provides a multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion. It has the following beneficial effects:

[0048] (1) This multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion successfully solves the control system complexity problem for production line debugging in mass production by introducing a multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion. By integrating the centerless grinder workpiece material properties, grinding parameters, tool wear status and vibration data information collected by multi-dimensional sensors, it realizes the effective identification of vibration sources and the preliminary assessment of risk levels, making the adjustment strategy more accurate and the response faster. In addition, the system's adaptive adjustment mechanism dynamically configures the vibration suppression scheme according to real-time data and ensures the adjustment effect through a continuous feedback loop, significantly reducing the production line downtime caused by system failures and optimizing the stability and efficiency of the production line.

[0049] (2) This multi-dimensional collaborative control method for the vibration of a centerless grinder based on multi-source information fusion, this technical solution also effectively alleviates the stability dependence problem of the vibration control system; by constructing a processing state set and calculating the relative processing emergency coefficient Ghxs of the vibration control machine tool to be adjusted, this coefficient takes into account the workpiece material hardness Mhz and the applied grinding pressure Ysyl, and can flexibly adjust the vibration adjustment priority of each machine tool to ensure the consistency of production quality. By comprehensively using the weight coefficient of the workpiece material hardness difference and the applied grinding pressure difference, as well as the first correction constant, a personalized vibration control strategy is effectively formulated for each machine tool, fundamentally reducing the processing fluctuations caused by vibration control failure, preventing the control system overload caused by frequent debugging of the production line, and maintaining the continuity and stability of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 Schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0052] Example 1

[0053] See also Figure 1 The present invention provides a multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion, which is applied to production line debugging in mass production; the method comprises the following steps:

[0054] S1. Obtain the centerless grinder's operating environment distribution image and sensor deployment plan in advance, label each centerless grinder and vibration sensor with a serial number, and lock the key monitoring area;

[0055] S2. Real-time monitoring of centerless grinder workpiece material properties, grinding parameters, tool wear status, and vibration data collected by multi-dimensional sensors to form a data set. Based on the data set, advanced data fusion technology is used to analyze the vibration source and its possible transmission path, and a preliminary assessment of the vibration risk level is conducted.

[0056] S3. Calculate the processing emergency coefficient Ghxs for each group of centerless grinders based on the vibration risk level and the preset vibration threshold. Automatically configure the optimal vibration suppression solution for each centerless grinder based on the processing emergency coefficient Ghxs, and simultaneously estimate the vibration impact assessment value Nhz after vibration control.

[0057] S4. Implement the obtained vibration suppression scheme on the corresponding centerless grinder, and monitor the vibration data and processing quality indicators after implementation in real time to evaluate the vibration suppression effect; if the vibration data does not meet the preset control target or the processing quality does not show significant improvement, adjust the vibration suppression scheme, re-evaluate and implement it until a satisfactory control effect is achieved.

[0058] In this embodiment, the beneficial effects of each step are as follows:

[0059] Step S1 ensures the system's accurate monitoring and data collection effectiveness by obtaining the centerless grinder's operating environment distribution image and sensor deployment plan and marking them with serial numbers;

[0060] Step S2 uses multi-dimensional sensors to monitor workpiece material properties, grinding parameters, tool wear status, and vibration data in real time, and uses data fusion technology to effectively analyze the vibration source and transmission path to accurately assess the vibration risk level;

[0061] Step S3 combines the vibration risk level and the preset vibration threshold to calculate the processing emergency coefficient Ghxs for each group of centerless grinders. Based on this coefficient, the optimal vibration suppression scheme is configured and the vibration impact assessment value Nhz after vibration control is estimated, thereby optimizing the vibration management of the entire production line.

[0062] Step S4 implements the vibration suppression plan and monitors the vibration data and processing quality after implementation. By continuously evaluating and adjusting the vibration suppression plan until the vibration data and processing quality reach the preset targets, the ultimate effectiveness of vibration control is ensured, and production efficiency and product quality are improved. All these measures jointly guarantee the efficient and stable operation of the production line and the high-quality product output.

[0063] Example 2

[0064] Monitor and record the vibration data collected by the vibration sensor of the centerless grinder in real time and generate a vibration data set;

[0065] The vibration data set includes the current vibration levels Vnz, vibration monitoring durations, and vibration safety values ​​Vqz set for the centerless grinders.

[0066] At the same time, the relationship between the corresponding existing vibration levels Vnz and the vibration safety values ​​Vqz of several groups of centerless grinders is judged to determine the machine tools that need to adjust the vibration control strategy from the several groups of centerless grinders.

[0067] The specific judgment content of the relationship between the existing vibration level Vnz and the vibration safety value Vqz is as follows:

[0068] When the existing vibration level Vnz is less than or equal to the vibration safety value Vqz, the corresponding machine tool is determined as a vibration control machine tool to be adjusted and marked;

[0069] When the existing vibration level Vnz>the vibration safety value Vqz, the corresponding machine tool is determined to be a vibration control machine tool to be adjusted.

[0070] Based on the plurality of groups of vibration control machine tools to be adjusted obtained in step S2, relevant processing parameters and material information of the plurality of groups of vibration control machine tools to be adjusted are monitored to construct a processing state set;

[0071] Wherein, the processing state set includes several groups of workpiece material hardness Mhz and applied grinding pressure Ysyl of the vibration control machine tool to be adjusted;

[0072] The relative processing emergency coefficient Ghxs of the vibration control machine tool to be adjusted with sequence number i is generated according to the processing state set. The processing emergency coefficient Ghxs of sequence number i is obtained by the following formula:

[0073]

[0074] The meaning of this formula is to evaluate the difference in processing urgency between the vibration control machine tool to be adjusted with serial number i and the vibration control machine tool to be adjusted with serial number n;

[0075] Among them, Mhz i Indicates the hardness of the workpiece material of the vibration control machine tool to be adjusted with serial number i, Mhz n Indicates the hardness of the workpiece material of the vibration control machine tool to be adjusted with serial number n, Ysyl i It represents the applied grinding pressure of the vibration control machine tool to be adjusted with serial number i, Ysyl nIt represents the applied grinding pressure of the vibration control machine tool to be adjusted with serial number n, h1 and h2 represent the corresponding workpiece material hardness difference and the corresponding weight coefficient of the applied grinding pressure difference, respectively, and B represents the first correction constant.

[0076] Combined with the result of the machining emergency coefficient Ghxs of sequence number i, the adjustment order of the vibration control machine tool to be adjusted with sequence number i is determined. The specific contents are as follows;

[0077] When the processing emergency coefficient Ghxs of the sequence number i is negative, the priority adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with the current sequence number i will be adjusted before the vibration control machine tool to be adjusted with the sequence number n.

[0078] When the processing emergency coefficient Ghxs of the serial number i is zero, the synchronous adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with the serial number i and the vibration control machine tool to be adjusted with the serial number n can be adjusted for vibration control at the same time;

[0079] When the processing emergency coefficient Ghxs of sequence number i is a positive number, the delayed adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with sequence number i will be adjusted after the vibration control machine tool to be adjusted with sequence number n.

[0080] In this embodiment, by real-time monitoring and recording of vibration data from a centerless grinder, a vibration data set is generated, including the current vibration level Vnz, the vibration monitoring duration, and the vibration safety value Vqz. This effectively manages and controls vibration problems in the production line. By comparing the current vibration level Vnz with the vibration safety value Vqz, the system can identify and mark machine tools that require adjustment to their vibration control strategies. This step ensures the safety and stability of machine tool operation.

[0081] By further monitoring the machining parameters and material information of the machine tools to be adjusted and constructing a set of machining states, including the workpiece material hardness Mhz and the applied grinding pressure Ysyl, the adjustment strategy can be more accurately optimized for specific machining conditions. Based on the machining state set, the calculated machining urgency coefficient Ghxs assesses the differences in machining urgency between the various machine tools, making vibration control adjustments more orderly and improving the efficiency and machining quality of the entire production line.

[0082] The value of the machining emergency factor Ghxs of the vibration control machine tool to be adjusted (number i) determines the adjustment sequence, ensuring flexibility and responsiveness in production management, thereby minimizing production delays and quality losses caused by vibration problems. This module of the entire system significantly improves the automation level and intelligent management capabilities of the production line, ensuring an efficient and high-quality production process.

[0083] Example 3

[0084] Simultaneously, relevant vibration intensity data information of several groups of vibration control machine tools to be adjusted is monitored and recorded, wherein the relevant vibration intensity data information includes an average vibration level Pzhz of the several groups of vibration control machine tools to be adjusted and a current vibration frequency Pzhf of the corresponding vibration control machine tools to be adjusted;

[0085] According to the relevant vibration intensity data information, the average vibration level Pzhz of the corresponding vibration control machine tool to be adjusted and the current vibration frequency Pzhf of the corresponding vibration control machine tool to be adjusted are correlated to calculate and obtain the corresponding vibration impact assessment value Nhz. The vibration impact assessment value Nhz is obtained by the following formula:

[0086] Nhz=Pzhz j ×Pzhf j +C;

[0087] The significance of this formula is to predict whether the vibration influence of the vibration control machine tool to be adjusted is within the acceptable range. In this formula, C is the correction constant, and Pzhz j Expressed as the average vibration level of the jth vibration control machine tool to be adjusted, Pzhf j It is represented as the current vibration frequency of the jth vibration control machine tool to be adjusted.

[0088] Based on the vibration impact assessment value Nhz and the existing vibration level Vnz, it is preliminarily determined again whether the vibration control machine tool to be adjusted can successfully achieve the vibration control target. The specific contents are as follows:

[0089] If the vibration impact assessment value Nhz is greater than the existing vibration level Vnz, it indicates that the vibration control machine tools preliminarily determined to be to be adjusted cannot successfully achieve the vibration control target. In this case, the vibration control machine tools preliminarily determined to be to be adjusted will be able to reach the preliminarily determined vibration control target through technical means.

[0090] If the vibration impact assessment value Nhz ≤ the current vibration level Vnz, it is preliminarily determined that the vibration control machine tool to be adjusted can successfully achieve the vibration control target.

[0091] In this embodiment, by monitoring and recording the relevant vibration intensity data information of the vibration control machine tool to be adjusted, including the average vibration level Pzhz and the current vibration frequency Pzhf, the vibration status of each machine tool can be comprehensively evaluated;

[0092] The correlation analysis of these parameters and the calculation of the vibration impact assessment value Nhz can predict whether the vibration impact of the machine tool to be adjusted is within the acceptable range. This is achieved by using the correction constant C, the average vibration level Pzhz, and the current vibration frequency Pzhf. Combined with the current vibration level Vnz, it is further determined whether the preset vibration control target can be achieved, ensuring that each machine tool operates under optimal conditions.

[0093] In addition, by monitoring the total number of control units Zkds, the number of occupied control units Yce, the number of idle control units, and the number of machine tools on their way to preliminarily determine vibration control targets Jqc, resources can be effectively managed and allocated to ensure the efficient operation of the production line. These measures not only improve production efficiency, but also reduce the risk of quality problems and equipment failures caused by vibration, significantly improving the stability and reliability of the entire production system, thereby achieving the dual goals of improving production quality and efficiency, enhancing the adjustment flexibility and response speed of the production system, and ensuring the continued stability of production and improved economic benefits.

[0094] Example 4

[0095] According to the preliminarily determined vibration control strategy, monitor and obtain relevant operating status data information within the preliminarily determined vibration control target, wherein the relevant operating status data information includes the total number of control units Zkds, the number of occupied control units Yce, the number of idle control units, and the number of machine tools on the way to the preliminarily determined vibration control target Jqc;

[0096] According to the relevant operation status data information, the number of remaining control units Scs for preliminarily determining the vibration control target is calculated and obtained. The number of remaining control units Scs is obtained by the following formula:

[0097] Scs=Zcds-(Yce+Jqc);

[0098] Where Zkds represents the total number of control units, Yce represents the number of occupied control units, and Jqc represents the number of machine tools that are on their way to preliminarily determine the vibration control target.

[0099] Further determining whether the vibration control machine tool to be adjusted with the serial number i can successfully match the initially determined vibration control target based on the adjustment order of the vibration control machine tool to be adjusted with the serial number i and the number of remaining control units Scs;

[0100] When the vibration control machine tool to be adjusted with serial number i can successfully match the preliminarily determined vibration control target, the vibration control machine tool to be adjusted with serial number i will start the instruction to go to the preliminarily determined vibration control destination for control adjustment.

[0101] When the vibration control machine tool to be adjusted with sequence number i fails to successfully match the initially determined vibration control target, the next vibration control target of the vibration control machine tool to be adjusted with sequence number i will be determined again to obtain the distance Jt between the next vibration control target and the vibration control machine tool to be adjusted with sequence number i, and finally determine whether the vibration control machine tool to be adjusted with sequence number i needs to enter the path waiting mode. The specific contents are as follows:

[0102] First, calculate the secondary vibration impact assessment value Nhzc, the specific formula is: Nhzc = Pzhz i ×Jt+C; where Pzhz i It is expressed as the average vibration level of the vibration control machine tool to be adjusted for the i-th machine tool;

[0103] Then compare the secondary vibration impact assessment value Nhzc with the existing vibration level Vnz of the vibration control machine tool to be adjusted with serial number i:

[0104] When the secondary vibration impact assessment value Nhzc is greater than the current vibration level Vnz of the vibration control machine tool to be adjusted with the serial number i, it is determined that the vibration control machine tool to be adjusted with the serial number i needs to enter the path waiting mode;

[0105] When the secondary vibration impact evaluation value Nhzc ≤ the current vibration level Vnz of the vibration control machine tool to be adjusted with serial number i, it is determined that the vibration control machine tool to be adjusted with serial number i does not need to enter the path waiting mode, and will enter the queue adjustment mode of the next vibration control target.

[0106] In this embodiment, the vibration control process is effectively managed and optimized by monitoring and calculating operational status data information related to the preliminarily determined vibration control target. The total number of control units Zkds, the number of occupied control units Yce, the number of machine tools on their way to the preliminarily determined vibration control target Jqc, and the calculated number of remaining control units Scs are key parameters used to assess the resource utilization and control capability of the production line. Scs is calculated using the total number of control units Zkds, the number of occupied control units Yce, and the number of machine tools on their way to the vibration control target Jqc. This calculation result helps determine whether each vibration control machine tool to be adjusted can successfully match the vibration control target.

[0107] The comparison of the additional secondary vibration impact assessment value Nhzc with the existing vibration level Vnz further determines whether the machine tool needs to enter the path waiting mode or the queue adjustment mode for the next vibration control target;

[0108] This process not only improves the effectiveness of resource allocation, but also enhances the accuracy and response speed of vibration control. Overall, the significance of this module in the system is reflected in optimizing production processes, improving production efficiency and product quality through intelligent data analysis and resource allocation, while ensuring equipment stability and production safety, providing solid support and efficient management strategies for the operation of the entire production line.

[0109] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion, applied to production line commissioning in mass production; its characteristics are: The following steps are involved: S1. Obtain the centerless grinder's operating environment distribution image and sensor deployment plan in advance, label each centerless grinder and vibration sensor with a serial number, and lock the key monitoring area; S2. Real-time monitoring of centerless grinder workpiece material properties, grinding parameters, tool wear status, and vibration data collected by multi-dimensional sensors to form a data set. Based on the data set, advanced data fusion technology is used to analyze the vibration source and its possible transmission path, and a preliminary assessment of the vibration risk level is conducted. S3. Calculate the processing emergency coefficient Ghxs for each group of centerless grinders based on the vibration risk level and the preset vibration threshold. Automatically configure the optimal vibration suppression solution for each centerless grinder based on the processing emergency coefficient Ghxs, and simultaneously estimate the vibration impact assessment value Nhz after vibration control. S4. Implement the obtained vibration suppression scheme on the corresponding centerless grinder, and monitor the vibration data and processing quality indicators after implementation in real time to evaluate the vibration suppression effect; if the vibration data does not meet the preset control target or the processing quality does not show significant improvement, adjust the vibration suppression scheme, re-evaluate and implement it until a satisfactory control effect is achieved.

2. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1 is characterized by: Monitor and record the vibration data collected by the vibration sensor of the centerless grinder in real time and generate a vibration data set; The vibration data set includes the current vibration levels Vnz, vibration monitoring durations, and vibration safety values ​​Vqz set for the centerless grinders. At the same time, the relationship between the existing vibration level Vnz and the vibration safety value Vqz of several groups of centerless grinders is determined to determine the machine tools that need to adjust the vibration control strategy from the several groups of centerless grinders; The specific judgment content of the relationship between the existing vibration level Vnz and the vibration safety value Vqz is as follows: When the existing vibration level Vnz is less than or equal to the vibration safety value Vqz, the corresponding machine tool is determined as a vibration control machine tool to be adjusted and marked; When the existing vibration level Vnz>the vibration safety value Vqz, the corresponding machine tool is determined to be a vibration control machine tool to be adjusted.

3. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1 is characterized in that: Based on the plurality of groups of vibration control machine tools to be adjusted obtained in step S2, relevant processing parameters and material information of the plurality of groups of vibration control machine tools to be adjusted are monitored to construct a processing state set; The processing state set includes several sets of workpiece material hardness Mhz and applied grinding pressure Ysyl of the vibration control machine tool to be adjusted; The relative processing emergency coefficient Ghxs of the vibration control machine tool to be adjusted with sequence number i is generated according to the processing state set. The processing emergency coefficient Ghxs of sequence number i is obtained by the following formula: The meaning of this formula is to evaluate the difference in processing urgency between the vibration control machine tool to be adjusted with serial number i and the vibration control machine tool to be adjusted with serial number n; Among them, Mhz i Indicates the hardness of the workpiece material of the vibration control machine tool to be adjusted with serial number i, Mhz n Indicates the hardness of the workpiece material of the vibration control machine tool to be adjusted with serial number n, Ysyl i It represents the applied grinding pressure of the vibration control machine tool to be adjusted with serial number i, Ysyl n It represents the applied grinding pressure of the vibration control machine tool to be adjusted with serial number n, h1 and h2 represent the corresponding workpiece material hardness difference and the corresponding weight coefficient of the applied grinding pressure difference, respectively, and B represents the first correction constant.

4. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1 is characterized in that: Combined with the result of the machining emergency coefficient Ghxs of sequence number i, the adjustment order of the vibration control machine tool to be adjusted with sequence number i is determined. The specific contents are as follows; When the processing emergency coefficient Ghxs of the sequence number i is negative, the priority adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with the current sequence number i will be adjusted before the vibration control machine tool to be adjusted with the sequence number n. When the processing emergency coefficient Ghxs of the serial number i is zero, the synchronous adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with the serial number i and the vibration control machine tool to be adjusted with the serial number n can be adjusted for vibration control at the same time; When the processing emergency coefficient Ghxs of sequence number i is a positive number, the delayed adjustment mode is turned on. At this time, the vibration control machine tool to be adjusted with sequence number i will be adjusted after the vibration control machine tool to be adjusted with sequence number n.

5. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1 is characterized in that: At the same time, relevant vibration intensity data information of several groups of vibration control machine tools to be adjusted is monitored and recorded, wherein the relevant vibration intensity data information includes the average vibration level Pzhz of several groups of vibration control machine tools to be adjusted and the current vibration frequency Pzhf of the corresponding vibration control machine tools to be adjusted.

6. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1 is characterized by: According to the relevant vibration intensity data information, the average vibration level Pzhz of the corresponding vibration control machine tool to be adjusted and the current vibration frequency Pzhf of the corresponding vibration control machine tool to be adjusted are correlated to calculate and obtain the corresponding vibration impact assessment value Nhz. The vibration impact assessment value Nhz is obtained by the following formula: Nhz=Pzhz j ×Pzhf j +C; The significance of this formula is to predict whether the vibration influence of the vibration control machine tool to be adjusted is within the acceptable range. In this formula, C is the correction constant, and Pzhz j Expressed as the average vibration level of the jth vibration control machine tool to be adjusted, Pzhf j It is represented as the current vibration frequency of the jth vibration control machine tool to be adjusted.

7. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1 is characterized in that: Based on the vibration impact assessment value Nhz and the existing vibration level Vnz, it is preliminarily determined again whether the vibration control machine tool to be adjusted can successfully achieve the vibration control target. The specific contents are as follows: If the vibration impact assessment value Nhz is greater than the existing vibration level Vnz, it indicates that the vibration control machine tools preliminarily determined to be to be adjusted cannot successfully achieve the vibration control target. In this case, the vibration control machine tools preliminarily determined to be to be adjusted will be able to reach the preliminarily determined vibration control target through technical means. If the vibration impact assessment value Nhz ≤ the current vibration level Vnz, it is preliminarily determined that the vibration control machine tool to be adjusted can successfully achieve the vibration control target.

8. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1 is characterized in that: According to the preliminarily determined vibration control strategy, monitor and obtain relevant operating status data information within the preliminarily determined vibration control target, wherein the relevant operating status data information includes the total number of control units Zkds, the number of occupied control units Yce, the number of idle control units, and the number of machine tools on the way to the preliminarily determined vibration control target Jqc.

9. The multi-dimensional collaborative control method for centerless grinding machine vibration based on multi-source information fusion according to claim 1, characterized in that: According to the relevant operation status data information, the number of remaining control units Scs for preliminarily determining the vibration control target is calculated and obtained. The number of remaining control units Scs is obtained by the following formula: Scs=Zcds-(Yce+Jqc); Where Zkds represents the total number of control units, Yce represents the number of occupied control units, and Jqc represents the number of machine tools that are on their way to preliminarily determine the vibration control target. Further determining whether the vibration control machine tool to be adjusted with the serial number i can successfully match the initially determined vibration control target based on the adjustment order of the vibration control machine tool to be adjusted with the serial number i and the number of remaining control units Scs; When the vibration control machine tool to be adjusted with serial number i can successfully match the preliminarily determined vibration control target, the vibration control machine tool to be adjusted with serial number i will start the instruction to go to the preliminarily determined vibration control destination for control adjustment.

10. The multi-dimensional collaborative control method for centerless grinder vibration based on multi-source information fusion according to claim 1, characterized in that: When the vibration control machine tool to be adjusted with sequence number i fails to successfully match the initially determined vibration control target, the next vibration control target of the vibration control machine tool to be adjusted with sequence number i will be determined again to obtain the distance Jt between the next vibration control target and the vibration control machine tool to be adjusted with sequence number i, and finally determine whether the vibration control machine tool to be adjusted with sequence number i needs to enter the path waiting mode. The specific contents are as follows: First, calculate the secondary vibration impact assessment value Nhzc, the specific formula is: Nhzc = Pzhz i ×Jt+C; where Pzhz i It is expressed as the average vibration level of the vibration control machine tool to be adjusted for the i-th machine tool; Then compare the secondary vibration impact assessment value Nhzc with the existing vibration level Vnz of the vibration control machine tool to be adjusted with serial number i: When the secondary vibration impact assessment value Nhzc is greater than the current vibration level Vnz of the vibration control machine tool to be adjusted with the serial number i, it is determined that the vibration control machine tool to be adjusted with the serial number i needs to enter the path waiting mode; When the secondary vibration impact evaluation value Nhzc ≤ the current vibration level Vnz of the vibration control machine tool to be adjusted with serial number i, it is determined that the vibration control machine tool to be adjusted with serial number i does not need to enter the path waiting mode, and will enter the queue adjustment mode of the next vibration control target.

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