A grinding control system for improving the flatness of ceramic workpieces

Abstract

The present invention discloses a grinding control system for improving the flatness of a ceramic workpiece, and relates to the field of precision grinding technology. The system collects ceramic roughness data and grinding work data in real time through a laser sensor and an integrated sensor group, pre-processes the data to obtain a ceramic surface roughness data set and a grinding work data set, calculates a ceramic surface roughness index Bcc through the ceramic surface roughness data set, and performs a preliminary evaluation in combination with a preset ceramic surface roughness threshold A, calculates a grinding speed adjustment index Msd and a coolant flow adjustment index Lll through the grinding work data set, and calculates a comprehensive grinding control index ZHM in summary, and performs a secondary evaluation on the grinding process. By recording and analyzing grinding data, identifying significant parameters and optimizing grinding parameter combinations, the results are transmitted to a user client through a wireless network, and real-time monitoring and control instructions are provided, so that the ceramic workpiece achieves an ideal flatness quality.

Description

Technical Field

[0001] The invention relates to the technical field of precision grinding, in particular to a grinding control system for improving the flatness of a ceramic workpiece. Background Art

[0002] With the rapid advancement of global industrial manufacturing towards intelligence and automation, more and more production links are gradually realizing digital and intelligent management. Especially in the fields of semiconductors, aerospace and medical devices, ceramic materials have become one of the indispensable materials due to their high temperature resistance, wear resistance and excellent chemical stability. At the same time, these high-tech industries have put forward higher requirements on the surface flatness and processing accuracy of ceramic workpieces. For traditional industries such as ceramic manufacturing, the introduction of intelligent grinding technology can effectively improve the stability and consistency of product quality while reducing dependence on manual experience. Against the background of increasing global market demand, how to improve the processing accuracy of ceramic workpieces has become a key driving force for the development of the industry.

[0003] Although the current grinding equipment control technology can realize basic grinding operations, it has significant deficiencies in flatness control. The shortcomings of the existing grinding control method are mainly due to the lack of in-depth analysis of the dynamic relationship between the various parameters of the grinding process, and it is not easy to realize intelligent control based on real-time data. Various parameters change frequently during the grinding process, and the abnormality of a single parameter often leads to the deterioration of the surface quality of the ceramic. There is a lack of real-time response capability to the changes in ceramic materials during the grinding process. At the same time, due to the complex process of ceramic grinding, it is not easy to achieve the ideal flatness effect through a single or simple control method. Due to the lack of data feedback mechanism and adaptive adjustment function, once a problem occurs, it is usually necessary to rely on manual intervention for secondary adjustment. This not only causes a waste of time and resources, but may also lead to increased costs and reduced production efficiency, further affecting the yield and performance of ceramic materials. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a grinding control system for improving the flatness of a ceramic workpiece, thereby solving the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a grinding control system for improving the flatness of a ceramic workpiece, comprising a ceramic data acquisition module, a data processing module, a surface roughness analysis module, a grinding analysis module, an adjustment evaluation module and an intelligent feedback module;

[0006] The ceramic data acquisition module is used to collect ceramic parameters in real time through the integrated sensor group installed in the grinding equipment, scan the surface of the ceramic material in real time through the laser sensor, and calculate the distance change of the reflected laser to obtain the ceramic roughness data, and monitor the grinding work data in real time through the integrated sensor group;

[0007] The data processing module is used to pre-process the obtained ceramic roughness data and grinding work data to obtain the ceramic surface roughness data set H = (h1, h2, ..., h n ) and grinding influence data sets;

[0008] The surface roughness analysis module is used to perform summary calculation based on the acquired ceramic surface roughness data set, obtain the ceramic surface roughness index Bcc, and perform a preliminary evaluation with the preset ceramic surface roughness threshold A, and trigger a secondary evaluation mechanism based on the evaluation result;

[0009] The grinding analysis module is used to perform summary calculation based on the acquired ceramic grinding data group to obtain the grinding speed adjustment index Msd and the coolant flow adjustment index Lll;

[0010] The adjustment evaluation module is used to perform summary calculation based on the obtained grinding speed adjustment index Msd, coolant flow adjustment index Lll and ceramic surface roughness index Bcc, obtain the comprehensive grinding control index ZHM, and perform secondary evaluation with the preset first grinding control threshold M and second grinding control threshold N, and generate a control instruction based on the evaluation results;

[0011] The intelligent feedback module is used to record all data in the grinding process in real time, write the data into the time series database InfluxDB in real time, access the time series database InfluxDB to identify significant parameters, output the optimal grinding parameter combination, generate a detailed report, and transmit it to the user client via the wireless network for user reference.

[0012] Preferably, the ceramic data acquisition module includes a ceramic plane acquisition unit and a grinding data acquisition unit;

[0013] The ceramic plane acquisition unit is used for a laser sensor installed on the grinding equipment, with a sampling frequency of 1000 times per second, to perform a linear scan of the vertical angle of the ceramic surface just after grinding in real time. The laser sensor receives the laser reflected from the ceramic surface, calculates the distance of each sampling point of the reflected laser, and obtains the ceramic roughness data set.

[0014] Preferably, the grinding data acquisition unit is used for an integrated sensor group and acquisition device installed on the grinding equipment to collect grinding work data in real time;

[0015] The integrated sensor group includes a laser sensor, an infrared temperature sensor, a grinding force sensor, a heat flow meter and a viscometer.

[0016] Preferably, the data processing module is used to perform data cleaning, denoising, filtering, integration and normalization on the acquired ceramic roughness data and grinding work data, and obtain ceramic surface roughness data sets H = (h1, h2, ..., h n ) and grinding influence data sets;

[0017] The grinding influence data set includes a grinding speed influence data set and a grinding temperature influence data set;

[0018] The grinding speed influence data group includes grinding tool wear rate wt, grinding temperature tm, grinding force fm and grinding depth md;

[0019] The grinding temperature influence data set includes workpiece thermal conductivity kw, coolant viscosity uc, ceramic phase transition temperature xw, coolant temperature tc and ceramic thermal expansion coefficient rp.

[0020] Preferably, the surface roughness analysis module includes a ceramic surface roughness calculation unit and a ceramic surface roughness evaluation unit;

[0021] The ceramic surface roughness calculation unit is used to perform summary calculation based on the obtained ceramic surface roughness data set to obtain the ceramic surface roughness index Bcc;

[0022] The ceramic surface roughness index Bcc is calculated by the following formula:

[0023] ;

[0024] In the formula, Represents the average value of height data, h i represents the height of the i-th point, and n represents the total number of scan points.

[0025] Preferably, the ceramic surface roughness evaluation unit is used to preset the ceramic surface roughness threshold A according to the standard ceramic flatness required by the user, and to perform a preliminary evaluation with the obtained ceramic surface roughness index Bcc, and trigger a secondary evaluation mechanism according to the evaluation result. The specific evaluation scheme is as follows;

[0026] When the ceramic surface roughness index Bcc> the preset ceramic surface roughness threshold A, it means that the ceramic roughness is unqualified. At this time, the secondary evaluation mechanism is triggered to perform in-depth regulation;

[0027] When the ceramic surface roughness index Bcc ≤ the preset ceramic surface roughness threshold A, it means that the ceramic roughness is qualified and normal monitoring is maintained.

[0028] Preferably, the grinding analysis module is used to access and calculate the grinding influence data group when the ceramic roughness is unqualified;

[0029] The grinding analysis module includes a grinding speed analysis unit and a grinding cooling analysis unit;

[0030] The grinding speed analysis unit is used to perform summary calculation based on the acquired grinding speed influence data group to obtain the grinding speed adjustment index Msd;

[0031] The grinding speed adjustment index Msd is calculated by the following formula:

[0032] ;

[0033] In the formula, b represents the correction constant, α represents the influence coefficient of grinding force fm, β represents the influence coefficient of grinding temperature tm, and e represents the exponential function;

[0034] The grinding cooling analysis unit is used to perform summary calculation based on the acquired grinding temperature influence data group to obtain the coolant flow adjustment index L11;

[0035] The coolant flow adjustment index L11 is calculated by the following formula:

[0036] ;

[0037] Where c represents the correction constant and e represents the exponential function.

[0038] Preferably, the adjustment and evaluation module includes a grinding control and analysis unit and a comprehensive control and evaluation unit;

[0039] The grinding control analysis unit is used to perform summary calculation based on the obtained grinding speed adjustment index Msd, coolant flow adjustment index Lll and ceramic surface roughness index Bcc to obtain a comprehensive grinding control index ZHM;

[0040] The comprehensive grinding control index ZHM is calculated by the following formula:

[0041] ;

[0042] Wherein, k represents the correction constant, w1, w2 and w3 represent the weight coefficients of the grinding speed adjustment index Msd, the coolant flow adjustment index Lll and the ceramic surface roughness index Bcc respectively, and w1+w2+w3=1. The specific values ​​are set by the user according to the usage.

[0043] Preferably, the comprehensive control evaluation unit is used to preset the first grinding control threshold M and the second grinding control threshold N, and perform a secondary evaluation with the obtained comprehensive grinding control index ZHM, deeply evaluate and control the grinding equipment, and perform a secondary correction on the flatness of the ceramic workpiece, and generate a control instruction based on the evaluation results. The specific evaluation scheme is as follows;

[0044] When the comprehensive grinding control index ZHM is less than the first grinding control threshold M, it indicates that the grinding effect is unqualified. At this time, the first control instruction is generated and transmitted to the grinding equipment control system. The control system controls the grinding equipment to increase the grinding force by 20%, increase the grinding depth by 20%, increase the cooling system output power by 30%, and reduce the grinding speed by 30% according to the first control instruction. The control system also transmits the first control instruction to the surface roughness analysis module for iterative evaluation until the grinding effect reaches the qualified level.

[0045] When the first grinding control threshold M ≤ comprehensive grinding control index ZHM ≤ second grinding control threshold N, it means that the grinding effect is qualified, and normal grinding and monitoring are maintained at this time;

[0046] When the comprehensive grinding control index ZHM> the second grinding control threshold N, it means that the grinding effect is unqualified. At this time, the second control instruction is generated and transmitted to the grinding equipment control system. The control system controls the grinding equipment to reduce the grinding intensity by 30%, reduce the grinding depth by 20%, reduce the cooling system output power by 20%, increase the grinding speed by 10% according to the second control instruction, and transmits the second control instruction to the surface roughness analysis module for iterative evaluation until the grinding effect reaches the qualified level.

[0047] Preferably, the intelligent feedback module includes a data recording unit, a data storage unit and an intelligent feedback unit;

[0048] The data recording unit is used to record all data in the grinding process in real time when the first control instruction and the second control instruction are adjusted, including surface roughness data and grinding impact data;

[0049] The data storage unit communicates and connects the ceramic grinding system with the time series database InfluxDB through the database connection tool ODBC, writes the obtained surface roughness data and grinding influence data results into the time series database InfluxDB, and marks each set of adjusted surface roughness data and grinding influence data with a unique identifier, wherein the unique identifier includes a timestamp, an auto-increment ID, and a grinding cycle number;

[0050] The intelligent feedback unit accesses the time series database InfluxDB, uses regression analysis statistical methods to evaluate the impact of various parameters on the ceramic flatness, identifies significant parameters, integrates the results, outputs the optimal grinding control combination, interprets the output grinding control combination, extracts specific grinding impact data, generates a detailed report, and transmits it to the control system of the grinding equipment via a wireless network.

[0051] The present invention provides a grinding control system for improving the flatness of a ceramic workpiece. It has the following beneficial effects:

[0052] (1) The ceramic data acquisition module of this system is equipped with a high-precision laser sensor and an integrated sensor group, which can collect ceramic surface roughness and grinding work data in real time. The sensor samples 1000 times per second to ensure the meticulousness and accuracy of the data, reflecting the height changes of the workpiece during the grinding process and other influencing factors. The collected data is processed by the data processing module in multiple steps to complete operations such as denoising, filtering, and standardization to generate a ceramic surface roughness data set H = (h1, h2, ..., h n ) and grinding influence data groups, laying a reliable data foundation for subsequent analysis.

[0053] (2) The surface roughness analysis module of the system calculates the ceramic surface roughness data set to generate the ceramic surface roughness index Bcc, and performs a preliminary evaluation with the preset ceramic surface roughness threshold A to determine the eligibility of the grinding effect. At the same time, the grinding analysis module uses the ceramic grinding data set to calculate the grinding speed adjustment index Msd and the coolant flow adjustment index Lll, providing accurate data support for comprehensive adjustment. Subsequently, the adjustment evaluation module summarizes these key parameters, calculates the comprehensive grinding control index ZHM through a weighted formula, and performs a secondary evaluation with the preset first grinding control threshold M and second grinding control threshold N to generate a control instruction. This module plays a key decision-making support role in the entire system, ensuring the smooth and efficient grinding process.

[0054] (3) The system's intelligent feedback module writes all the data from the above analysis process into the time series database InfluxDB in real time, and uses regression analysis methods to identify the significant parameters that affect the flatness of ceramics. These analysis results can not only output the optimal grinding parameter combination, but also generate detailed reports and transmit them to the user client to provide users with operational guidance and optimization suggestions. Through multiple iterative evaluations, the system has significantly improved the flatness of ceramic workpieces, improved workpiece quality and production efficiency, and greatly reduced reliance on human control, making the grinding process of ceramic workpieces more intelligent, automated and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 The present invention is a schematic flow chart of a grinding control system for improving the flatness of a ceramic workpiece. DETAILED DESCRIPTION

[0056] 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.

[0057] Example 1: Please refer to Figure 1 The present invention provides a grinding control system for improving the flatness of a ceramic workpiece. To achieve the above purpose, the present invention is implemented through the following technical solutions: including a ceramic data acquisition module, a data processing module, a surface roughness analysis module, a grinding analysis module, an adjustment evaluation module and an intelligent feedback module;

[0058] The ceramic data acquisition module is used to collect ceramic parameters in real time through the integrated sensor group installed in the grinding equipment, scan the surface of the ceramic material in real time through the laser sensor, and calculate the distance change of the reflected laser to obtain the ceramic roughness data, and monitor the grinding work data in real time through the integrated sensor group;

[0059] The data processing module is used to pre-process the obtained ceramic roughness data and grinding work data to obtain the ceramic surface roughness data set H = (h1, h2, ..., h n ) and grinding influence data sets;

[0060] The surface roughness analysis module is used to perform summary calculation based on the acquired ceramic surface roughness data set, obtain the ceramic surface roughness index Bcc, and perform a preliminary evaluation with the preset ceramic surface roughness threshold A, and trigger a secondary evaluation mechanism based on the evaluation result;

[0061] The grinding analysis module is used to perform summary calculation based on the acquired ceramic grinding data group to obtain the grinding speed adjustment index Msd and the coolant flow adjustment index Lll;

[0062] The adjustment evaluation module is used to perform summary calculation based on the obtained grinding speed adjustment index Msd, coolant flow adjustment index Lll and ceramic surface roughness index Bcc, obtain the comprehensive grinding control index ZHM, and perform secondary evaluation with the preset first grinding control threshold M and second grinding control threshold N, and generate a control instruction based on the evaluation results;

[0063] The intelligent feedback module is used to record all data in the grinding process in real time, write the data into the time series database InfluxDB in real time, access the time series database InfluxDB to identify significant parameters, output the optimal grinding parameter combination, generate a detailed report, and transmit it to the user client via the wireless network for user reference.

[0064] In this embodiment, the ceramic data acquisition module uses laser sensors and multiple integrated sensors to collect ceramic surface height data and grinding work data during the grinding process in real time. This multi-dimensional data acquisition method improves the accuracy of the data and provides real-time dynamic feedback for the grinding process, ensuring the comprehensiveness and accuracy of the data. Compared with the traditional method of relying on manual sampling or intermittent collection, the system greatly improves the timeliness and detail capture ability of the data. The data processing module performs denoising, filtering and normalization on the collected data, laying a solid foundation for subsequent surface roughness analysis and grinding analysis. Through the surface roughness analysis module, the system can quickly calculate the ceramic surface roughness index Bcc based on the height data set, and make a preliminary evaluation with the preset ceramic surface roughness threshold A, ensuring the quality of the grinding effect. The grinding analysis module further analyzes the grinding speed adjustment index Msd and the coolant flow adjustment index Lll, evaluates the grinding efficiency and cooling effect from multiple dimensions, and provides clear data support for the overall adjustment. Compared with the traditional analysis method based on a single indicator, the system can perform a more comprehensive and detailed analysis, improving the control accuracy of the grinding process. The combination of the adjustment and evaluation module and the intelligent feedback module enables the system to have the ability of automatic control and optimized feedback. The adjustment and evaluation module calculates the comprehensive grinding control index ZHM based on multiple indicators, and performs a secondary evaluation with the preset first grinding control threshold M and second grinding control threshold N to ensure that the grinding result meets the workpiece flatness requirements. The intelligent feedback module stores all data in the time series database InfluxDB, uses big data analysis and regression algorithms to identify significant parameters and generate the optimal grinding parameter combination. This closed-loop feedback mechanism not only improves the flatness and grinding efficiency of ceramic workpieces, but also greatly reduces the need for manual intervention by operators, and improves the level of automation and consistency of production. Compared with traditional grinding process control methods, this system has achieved significant improvements in accuracy, real-time and adaptability, bringing a new development direction for quality control and process improvement in the ceramic manufacturing industry.

[0065] Example 2: This example is an explanation of Example 1. Figure 1 ,Specifically: the ceramic data acquisition module includes a ceramic plane acquisition unit and a grinding data acquisition unit;

[0066] The ceramic plane acquisition unit is used for a laser sensor installed on the grinding equipment, with a sampling frequency of 1000 times per second, to perform a linear scan of the vertical angle of the ceramic surface just after grinding in real time. The laser sensor receives the laser reflected from the ceramic surface, calculates the distance of each sampling point of the reflected laser, and obtains the ceramic roughness data set.

[0067] The grinding data acquisition unit is used for an integrated sensor group and acquisition equipment installed on the grinding equipment to collect grinding work data in real time;

[0068] The integrated sensor group includes a laser sensor, an infrared temperature sensor, a grinding force sensor, a heat flow meter and a viscometer.

[0069] In this embodiment, the ceramic data acquisition module realizes high-precision and multi-dimensional data acquisition through the cooperation of the ceramic plane acquisition unit and the grinding data acquisition unit, ensuring real-time monitoring and feedback of the grinding process. The ceramic plane acquisition unit can sample 1000 times per second through the laser sensor installed on the grinding equipment, which can quickly and accurately obtain the slight roughness changes of the ceramic surface and generate a ceramic roughness data set. At the same time, the various sensors in the grinding data acquisition unit comprehensively and continuously capture various parameters in the grinding process. This high-frequency and refined acquisition method not only improves the integrity and real-time performance of the data, but also provides high-quality data support for subsequent analysis and optimization, so that the grinding process can better adapt to the precision requirements of the workpiece flatness. Compared with traditional methods, the advantage of this module is that it can monitor the physical changes in the grinding process from multiple angles and in all directions, significantly improving the stability, efficiency and final workpiece quality of the grinding process.

[0070] Example 3: This example is an explanation of Example 2. Figure 1 Specifically: the data processing module is used to perform data cleaning, denoising, filtering, integration and normalization on the acquired ceramic roughness data and grinding work data, and obtain the ceramic surface roughness data set H = (h1, h2, ..., h n ) and grinding influence data sets;

[0071] The grinding influence data set includes a grinding speed influence data set and a grinding temperature influence data set;

[0072] The grinding speed influence data group includes grinding tool wear rate wt, grinding temperature tm, grinding force fm and grinding depth md;

[0073] The grinding temperature influence data set includes workpiece thermal conductivity kw, coolant viscosity uc, ceramic phase transition temperature xw, coolant temperature tc and ceramic thermal expansion coefficient rp.

[0074] In this embodiment, the data processing module not only ensures the purity and accuracy of the data by systematically cleaning, denoising and filtering the ceramic roughness data and grinding work data, but also effectively improves the consistency and comparability of the data through normalization processing. This module can integrate the collected complex data into easy-to-analyze ceramic surface roughness data set H and grinding influence data set, thus laying the foundation for the precise control of the grinding effect. Since it not only includes grinding speed influence data, but also grinding temperature influence data, the system can more comprehensively reflect the key factors in the grinding process in multiple dimensions. Compared with traditional data processing methods, this module has achieved significant improvements in automation and accuracy, especially in multi-parameter control and comprehensive analysis of grinding performance. It has unique advantages, providing a solid foundation for subsequent deep optimization and intelligent feedback.

[0075] Example 4: This example is an explanation of Example 3. Figure 1 , specifically: the surface roughness analysis module includes a ceramic surface roughness calculation unit and a ceramic surface roughness evaluation unit;

[0076] The ceramic surface roughness calculation unit is used to perform summary calculation based on the obtained ceramic surface roughness data set to obtain the ceramic surface roughness index Bcc;

[0077] The ceramic surface roughness index Bcc is calculated by the following formula:

[0078] ;

[0079] In the formula, Represents the average value of height data, h i represents the height of the i-th point, and n represents the total number of scan points.

[0080] The ceramic surface roughness evaluation unit is used to preset the ceramic surface roughness threshold A according to the standard ceramic flatness required by the user, and to perform a preliminary evaluation with the obtained ceramic surface roughness index Bcc, and to trigger a secondary evaluation mechanism according to the evaluation result. The specific evaluation scheme is as follows;

[0081] When the ceramic surface roughness index Bcc> the preset ceramic surface roughness threshold A, it means that the ceramic roughness is unqualified. At this time, the secondary evaluation mechanism is triggered to perform in-depth regulation;

[0082] When the ceramic surface roughness index Bcc ≤ the preset ceramic surface roughness threshold A, it means that the ceramic roughness is qualified and normal monitoring is maintained.

[0083] In this embodiment, through the ceramic surface roughness calculation unit, the system can accurately calculate the ceramic surface roughness index Bcc based on the ceramic surface roughness data set, and compare it with the preset ceramic surface roughness threshold A to provide a preliminary evaluation of the grinding effect. This mechanism ensures timely feedback on the surface quality. Once it is found that the ceramic surface roughness index Bcc exceeds the ceramic surface roughness threshold A, the secondary evaluation mechanism is immediately triggered to make more in-depth adjustments to avoid further deviations in the grinding process. Compared with the traditional single evaluation method, this dual evaluation scheme significantly improves the response speed and processing accuracy of the system, so that the grinding process can obtain more detailed quality control in real time. By maintaining normal monitoring when qualified and triggering deep control when unqualified, this modular design greatly improves the stability of the ceramic surface flatness, while reducing the risk of defective rate and rework, bringing higher efficiency and reliability to the entire production process.

[0084] Example 5: This example is an explanation of Example 4. Figure 1 ,Specifically: the grinding analysis module is used to access and calculate the grinding impact data group when the ceramic roughness is unqualified;

[0085] The grinding analysis module includes a grinding speed analysis unit and a grinding cooling analysis unit;

[0086] The grinding speed analysis unit is used to perform summary calculation based on the acquired grinding speed influence data group to obtain the grinding speed adjustment index Msd;

[0087] The grinding cooling analysis unit is used to perform summary calculation based on the acquired grinding temperature influence data group to obtain the coolant flow adjustment index L11.

[0088] The adjustment and evaluation module includes a grinding control and analysis unit and a comprehensive control and evaluation unit;

[0089] The grinding control analysis unit is used to perform summary calculation based on the obtained grinding speed adjustment index Msd, coolant flow adjustment index Lll and ceramic surface roughness index Bcc to obtain a comprehensive grinding control index ZHM;

[0090] The comprehensive grinding control index ZHM is calculated by the following formula:

[0091] ;

[0092] Wherein, k represents the correction constant, w1, w2 and w3 represent the weight coefficients of the grinding speed adjustment index Msd, the coolant flow adjustment index Lll and the ceramic surface roughness index Bcc respectively, and w1+w2+w3=1. The specific values ​​are set by the user according to the actual situation.

[0093] The comprehensive control evaluation unit is used to preset the first grinding control threshold M and the second grinding control threshold N, and perform a secondary evaluation with the obtained comprehensive grinding control index ZHM, deeply evaluate and control the grinding equipment, and perform a secondary correction on the flatness of the ceramic workpiece, and generate a control instruction based on the evaluation results. The specific evaluation scheme is as follows;

[0094] When the comprehensive grinding control index ZHM is less than the first grinding control threshold M, it indicates that the grinding effect is unqualified. At this time, the first control instruction is generated and transmitted to the grinding equipment control system. The control system controls the grinding equipment to increase the grinding force by 20%, increase the grinding depth by 20%, increase the cooling system output power by 30%, and reduce the grinding speed by 30% according to the first control instruction. The control system also transmits the first control instruction to the surface roughness analysis module for iterative evaluation until the grinding effect reaches the qualified level.

[0095] When the first grinding control threshold M ≤ comprehensive grinding control index ZHM ≤ second grinding control threshold N, it means that the grinding effect is qualified, and normal grinding and monitoring are maintained at this time;

[0096] When the comprehensive grinding control index ZHM> the second grinding control threshold N, it means that the grinding effect is unqualified. At this time, the second control instruction is generated and transmitted to the grinding equipment control system. The control system controls the grinding equipment to reduce the grinding intensity by 30%, reduce the grinding depth by 20%, reduce the cooling system output power by 20%, increase the grinding speed by 10% according to the second control instruction, and transmits the second control instruction to the surface roughness analysis module for iterative evaluation until the grinding effect reaches the qualified level.

[0097] In this embodiment, the grinding speed adjustment index Msd and the coolant flow adjustment index Lll are quickly calculated through the ceramic grinding data group collected in real time, which makes the adjustment of the grinding parameters more accurate and effective. Compared with the traditional static setting, this dynamic control capability can respond to the changes in the surface state of the workpiece in real time, thereby maximizing the grinding effect and reducing the defective rate. According to the obtained grinding speed adjustment index Msd, coolant flow adjustment index Lll and ceramic surface roughness index Bcc, a summary calculation is performed to obtain the comprehensive grinding control index ZHM, which is personalized according to the weight coefficient set by the user, so as to better adapt to different grinding requirements and material properties. This personalized control not only improves the flexibility of the grinding process, but also optimizes production efficiency and ensures the quality and precision of each workpiece. By presetting the first grinding control threshold M and the second grinding control threshold N, and performing a secondary evaluation, the system can accurately judge whether the grinding effect is qualified or not, and generate corresponding control instructions in time. This feedback mechanism not only reduces the subjectivity of human judgment, but also greatly shortens the adjustment time, and improves the response speed and operation efficiency of the production line. The innovation of this system combines real-time data analysis and dynamic control strategies, effectively improving the automation level of the grinding process and the overall quality control level, bringing significant technological progress and economic benefits to the ceramic manufacturing industry.

[0098] Example 6: This example is an explanation of Example 1. Figure 1 ,Specifically: the intelligent feedback module includes a data recording unit, a data storage unit and an intelligent feedback unit;

[0099] The data recording unit is used to record all data in the grinding process in real time when the first control instruction and the second control instruction are adjusted, including surface roughness data and grinding impact data;

[0100] The data storage unit communicates and connects the ceramic grinding system with the time series database InfluxDB through the database connection tool ODBC, writes the obtained surface roughness data and grinding influence data results into the time series database InfluxDB, and marks each set of adjusted surface roughness data and grinding influence data with a unique identifier, wherein the unique identifier includes a timestamp, an auto-increment ID, and a grinding cycle number;

[0101] The intelligent feedback unit accesses the time series database InfluxDB, uses regression analysis statistical methods to evaluate the impact of various parameters on the ceramic flatness, identifies significant parameters, integrates the results, outputs the optimal grinding control combination, interprets the output grinding control combination, extracts specific grinding impact data, generates a detailed report, and transmits it to the control system of the grinding equipment via a wireless network.

[0102] In this embodiment, the data recording unit captures and stores surface roughness data and grinding impact data in real time, so that the system can continuously monitor and evaluate the processing status. Through the data storage unit, the system communicates with the InfluxDB database each time the control instruction is executed, and the grinding temperature impact data is stored uniquely identified by timestamp, self-increment ID and grinding cycle number. This storage method ensures the integrity and traceability of historical data and provides a reliable data source for further analysis. The intelligent feedback unit uses regression analysis to identify key parameters that have a significant impact on the flatness of ceramics and outputs the optimal grinding control combination. This combination not only improves the flatness of the workpiece surface, but also provides real-time feedback to the control system of the grinding equipment through a wireless network, forming a highly intelligent closed-loop feedback system. This method significantly enhances the adaptability and automation of the grinding process, while reducing the frequency of manual adjustments, improving processing efficiency and consistency, and providing strong support for the intelligent upgrade of the production process.

[0103] Although 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 the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A grinding control system for improving the flatness of a ceramic workpiece, characterized in that: It includes ceramic data acquisition module, data processing module, surface roughness analysis module, grinding analysis module, adjustment evaluation module and intelligent feedback module; The ceramic data acquisition module is used to collect ceramic parameters in real time through the integrated sensor group installed in the grinding equipment, scan the surface of the ceramic material in real time through the laser sensor, and calculate the distance change of the reflected laser to obtain the ceramic roughness data, and monitor the grinding work data in real time through the integrated sensor group; The data processing module is used to pre-process the obtained ceramic roughness data and grinding work data to obtain the ceramic surface roughness data set H = (h1, h2, ..., h n ) and grinding influence data sets; The surface roughness analysis module is used to perform summary calculation based on the acquired ceramic surface roughness data set, obtain the ceramic surface roughness index Bcc, and perform a preliminary evaluation with the preset ceramic surface roughness threshold A, and trigger a secondary evaluation mechanism based on the evaluation result; The grinding analysis module is used to perform summary calculation based on the acquired ceramic grinding data group to obtain the grinding speed adjustment index Msd and the coolant flow adjustment index Lll; The adjustment evaluation module is used to perform summary calculation based on the obtained grinding speed adjustment index Msd, coolant flow adjustment index Lll and ceramic surface roughness index Bcc, obtain the comprehensive grinding control index ZHM, and perform secondary evaluation with the preset first grinding control threshold M and second grinding control threshold N, and generate a control instruction based on the evaluation results; The intelligent feedback module is used to record all data in the grinding process in real time, write the data into the time series database InfluxDB in real time, access the time series database InfluxDB to identify significant parameters, output the optimal grinding parameter combination, generate a detailed report, and transmit it to the user client via the wireless network for user reference.

2. A grinding control system for improving the flatness of a ceramic workpiece according to claim 1, characterized in that: The ceramic data acquisition module includes a ceramic plane acquisition unit and a grinding data acquisition unit; The ceramic plane acquisition unit is used for a laser sensor installed on the grinding equipment, with a sampling frequency of 1000 times per second, to perform a linear scan of the vertical angle of the ceramic surface just after grinding in real time. The laser sensor receives the laser reflected from the ceramic surface, calculates the distance of each sampling point of the reflected laser, and obtains the ceramic roughness data set.

3. A grinding control system for improving the flatness of a ceramic workpiece according to claim 2, characterized in that: The grinding data acquisition unit is used for an integrated sensor group and acquisition equipment installed on the grinding equipment to collect grinding work data in real time; The integrated sensor group includes a laser sensor, an infrared temperature sensor, a grinding force sensor, a heat flow meter and a viscometer.

4. A grinding control system for improving the flatness of a ceramic workpiece according to claim 3, characterized in that: The data processing module is used to perform data cleaning, denoising, filtering, integration and normalization on the acquired ceramic roughness data and grinding work data, and obtain the ceramic surface roughness data set H = (h1, h2, ..., h n ) and grinding influence data sets; The grinding influence data set includes a grinding speed influence data set and a grinding temperature influence data set; The grinding speed influence data group includes grinding tool wear rate wt, grinding temperature tm, grinding force fm and grinding depth md; The grinding temperature influence data set includes workpiece thermal conductivity kw, coolant viscosity uc, ceramic phase transition temperature xw, coolant temperature tc and ceramic thermal expansion coefficient rp.

5. A grinding control system for improving the flatness of a ceramic workpiece according to claim 4, characterized in that: The surface roughness analysis module includes a ceramic surface roughness calculation unit and a ceramic surface roughness evaluation unit; The ceramic surface roughness calculation unit is used to perform summary calculation based on the obtained ceramic surface roughness data set to obtain the ceramic surface roughness index Bcc; The ceramic surface roughness index Bcc is calculated by the following formula: ; In the formula, Represents the average value of height data, h i represents the height of the i-th point, and n represents the total number of scan points.

6. A grinding control system for improving the flatness of a ceramic workpiece according to claim 5, characterized in that: The ceramic surface roughness evaluation unit is used to preset the ceramic surface roughness threshold A according to the standard ceramic flatness required by the user, and to perform a preliminary evaluation with the obtained ceramic surface roughness index Bcc, and to trigger a secondary evaluation mechanism according to the evaluation result. The specific evaluation scheme is as follows; When the ceramic surface roughness index Bcc> the preset ceramic surface roughness threshold A, it means that the ceramic roughness is unqualified. At this time, the secondary evaluation mechanism is triggered to perform in-depth regulation; When the ceramic surface roughness index Bcc ≤ the preset ceramic surface roughness threshold A, it means that the ceramic roughness is qualified and normal monitoring is maintained.

7. A grinding control system for improving the flatness of a ceramic workpiece according to claim 6, characterized in that: The grinding analysis module is used to access and calculate the grinding influence data group when the ceramic roughness is unqualified; The grinding analysis module includes a grinding speed analysis unit and a grinding cooling analysis unit; The grinding speed analysis unit is used to perform summary calculation based on the acquired grinding speed influence data group to obtain the grinding speed adjustment index Msd; The grinding cooling analysis unit is used to perform summary calculation based on the acquired grinding temperature influence data group to obtain the coolant flow adjustment index L11.

8. A grinding control system for improving the flatness of a ceramic workpiece according to claim 7, characterized in that: The adjustment and evaluation module includes a grinding control and analysis unit and a comprehensive control and evaluation unit; The grinding control analysis unit is used to perform summary calculation based on the obtained grinding speed adjustment index Msd, coolant flow adjustment index Lll and ceramic surface roughness index Bcc to obtain a comprehensive grinding control index ZHM; The comprehensive grinding control index ZHM is calculated by the following formula: ; Wherein, k represents the correction constant, w1, w2 and w3 represent the weight coefficients of the grinding speed adjustment index Msd, the coolant flow adjustment index Lll and the ceramic surface roughness index Bcc respectively, and w1+w2+w3=1. The specific values ​​are set by the user according to the actual situation.

9. A grinding control system for improving the flatness of a ceramic workpiece according to claim 8, characterized in that: The comprehensive control evaluation unit is used to preset the first grinding control threshold M and the second grinding control threshold N, and perform a secondary evaluation with the obtained comprehensive grinding control index ZHM, deeply evaluate and control the grinding equipment, and perform a secondary correction on the flatness of the ceramic workpiece, and generate a control instruction based on the evaluation results. The specific evaluation scheme is as follows; When the comprehensive grinding control index ZHM is less than the first grinding control threshold M, it indicates that the grinding effect is unqualified. At this time, the first control instruction is generated and transmitted to the grinding equipment control system. The control system controls the grinding equipment to increase the grinding force by 20%, increase the grinding depth by 20%, increase the cooling system output power by 30%, and reduce the grinding speed by 30% according to the first control instruction. The control system also transmits the first control instruction to the surface roughness analysis module for iterative evaluation until the grinding effect reaches the qualified level. When the first grinding control threshold M ≤ comprehensive grinding control index ZHM ≤ second grinding control threshold N, it means that the grinding effect is qualified, and normal grinding and monitoring are maintained at this time; When the comprehensive grinding control index ZHM> the second grinding control threshold N, it means that the grinding effect is unqualified. At this time, the second control instruction is generated and transmitted to the grinding equipment control system. The control system controls the grinding equipment to reduce the grinding intensity by 30%, reduce the grinding depth by 20%, reduce the cooling system output power by 20%, increase the grinding speed by 10% according to the second control instruction, and transmits the second control instruction to the surface roughness analysis module for iterative evaluation until the grinding effect reaches the qualified level.

10. A grinding control system for improving the flatness of a ceramic workpiece according to claim 1, characterized in that: The intelligent feedback module includes a data recording unit, a data storage unit and an intelligent feedback unit; The data recording unit is used to record all data in the grinding process in real time when the first control instruction and the second control instruction are adjusted, including surface roughness data and grinding impact data; The data storage unit communicates and connects the ceramic grinding system with the time series database InfluxDB through the database connection tool ODBC, writes the obtained surface roughness data and grinding influence data results into the time series database InfluxDB, and marks each set of adjusted surface roughness data and grinding influence data with a unique identifier, wherein the unique identifier includes a timestamp, an auto-increment ID, and a grinding cycle number; The intelligent feedback unit accesses the time series database InfluxDB, uses regression analysis statistical methods to evaluate the impact of various parameters on the ceramic flatness, identifies significant parameters, integrates the results, outputs the optimal grinding control combination, interprets the output grinding control combination, extracts specific grinding impact data, generates a detailed report, and transmits it to the control system of the grinding equipment via a wireless network.

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