An automatic tool arrangement system and method based on automation

Abstract

The present invention discloses an automatic tool arrangement system and method based on automation, which specifically relates to the field of mechanical processing and automated production, including an information entry module, a workpiece area division module, a workpiece information collection module, a smart blade processing information collection module, a workpiece information analysis module, a smart blade processing information analysis module, a comprehensive data processing module, and an early warning module. The present invention realizes comprehensive monitoring of workpiece physical performance data, workpiece chemical performance data, and workpiece environmental performance data through precise data collection. The present invention first determines the data area for data collection, and collects various data in a variety of ways, then analyzes and processes the data, and finally, through data analysis, problems can be discovered in time and the quality of automatic tool arrangement can be optimized; the present invention realizes real-time monitoring and analysis of the automatic tool arrangement system, which is conducive to quickly discovering and handling problems, making the analysis more intuitive, and ensuring the stability and safety of automatic tool arrangement.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical processing and automated production, and more specifically, to an automatic tool arrangement system and method based on automation. Background Art

[0002] With the continuous expansion of industrial production scale and the increasing requirements for product precision, traditional manual tool arrangement can no longer meet the needs; the emergence of automated production technology is an important opportunity for the development of automatic tool arrangement systems. The precise control of machine tool movement by the CNC system provides basic technical support for the automatic arrangement and switching of tools; at the same time, the progress of material science has continuously improved the performance of tool materials, and various high-performance tools have emerged, such as carbide tools and ceramic tools. Different tools are suitable for different processing materials and processes, which requires a more efficient and intelligent tool arrangement system to reasonably select and arrange tools.

[0003] The existing automated automatic tool arrangement system mainly includes: a tool acquisition module, a processing task analysis module, and a fault diagnosis and alarm module; the tool acquisition module uses image recognition technology to collect the type and size of the tool; the processing task analysis module analyzes the data collected by the tool acquisition module to determine the type and quantity of the required tools; the fault diagnosis and alarm module mainly monitors the operating status of the system, detects faults in time and issues alarms.

[0004] However, there are still some shortcomings in its actual use. For example, the above module only collects the type and size of the tool through image recognition technology, which makes the system's detection range of automatic tool arrangement not comprehensive enough; although the system has made certain progress in data processing, it still has defects in detecting real-time data. For example, for huge real-time data, the existing technology cannot process the data effectively for real-time analysis, prediction and optimization, resulting in deviations in data processing efficiency, which greatly affects the overall performance evaluation of automatic tool arrangement. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an automatic tool arrangement system and method based on automation, which solves the problems raised in the above-mentioned background technology through the fields of mechanical processing and automated production technology.

[0006] To achieve the above object, the present invention provides the following technical solution: an automatic tool arrangement system based on automation, comprising:

[0007] Information entry module: used to detect workpieces in various areas of the target factory and enter the information of the target factory managers into the system, where the target factory managers’ information includes face recognition and contact information;

[0008] Workpiece area division module: used to determine the workpiece data of each area in the target factory as the target data area, divide the target data area into various sub-data areas by dividing them according to production batches, and mark them as 1, 2...n in sequence;

[0009] Workpiece information acquisition module: used to collect workpiece physical property data, workpiece chemical property data and workpiece environmental performance data of each sub-data area and transmit the collected data to the workpiece information analysis module;

[0010] Workpiece information analysis module: including workpiece physical property data analysis unit, workpiece chemical property data analysis unit and workpiece environment data analysis unit, used to analyze the data transmitted by the workpiece information acquisition module and transmit the analysis results to the comprehensive data processing module;

[0011] Smart Blade Processing Information Collection Module: used to collect tool performance data and processing process data of each sub-data area and transmit the data collected by the Smart Blade Processing Information Collection Module to the Smart Blade Processing Information Analysis Module;

[0012] Smart Blade Processing Information Analysis Module: includes tool performance data analysis unit and processing process data analysis unit, which is used to analyze the data transmitted by the Smart Blade Processing Information Acquisition Module and transmit the analysis results to the comprehensive data processing module;

[0013] Comprehensive data processing module: used to establish a comprehensive data processing model, import the data transmitted by the workpiece information analysis module and the intelligent blade processing information analysis module into the comprehensive data processing model, calculate the comprehensive abnormality index of the target time area, and transmit it to the early warning module;

[0014] Early warning module: used to establish a preset value of the comprehensive abnormality index, and judge the comprehensive abnormality index of each sub-time zone according to the preset value of the comprehensive abnormality index, and issue an early warning signal according to the judgment result.

[0015] Preferably, the automatic tool arrangement system based on automation is characterized in that: the workpiece area division module is used to determine the workpiece data of each area in the target factory as the target data area, and divide the target data area into various sub-data areas by production batch division, and mark them as 1, 2...n in sequence.

[0016] Preferably, the workpiece physical property data include Mohs hardness value, elastic modulus, thermal conductivity, and workpiece compressive strength value, which are respectively denoted as Wm, Wt, Wr, and Wk. The Mohs hardness value represents a standard for measuring the hardness of a material, which is measured by a notch method. The elastic modulus represents the proportional coefficient of a material in a positive proportional relationship between stress and strain during the elastic deformation stage. The workpiece chemical property data include the average corrosion rate of the workpiece surface, the depth of oxidation on the workpiece surface, and the workpiece activity loss rate, which are respectively denoted as Hf, Hy, and Hx. The workpiece activity loss rate represents the percentage of workpiece activity reduction per unit time. The workpiece environmental performance data include dust particle concentration, oil particle concentration, and low-temperature embrittlement temperature, which are respectively denoted as Yf, Yw, and Yc.

[0017] Preferably, the workpiece physical property data analysis unit is used to establish a workpiece physical property data analysis model, import the workpiece physical property data transmitted by the workpiece information acquisition module into the workpiece physical property data analysis model, and calculate the workpiece physical property evaluation value of each sub-data area, which is specifically expressed as: , M.A. i represents the workpiece physical property evaluation value of the i-th sub-data area, represents the Mohs hardness value of the ith sub-data area, represents the elastic modulus of the ith sub-data region, represents the thermal conductivity of the ith sub-data region, Indicates the compressive strength value of the workpiece in the i-th sub-data area, Indicates the maximum compressive strength value of the workpiece in the target data area; the workpiece chemical property data analysis unit is used to establish a workpiece chemical property data analysis model, import the workpiece chemical property data transmitted by the workpiece information acquisition module into the workpiece chemical property data analysis model, and calculate the workpiece chemical property evaluation value of each sub-data area, which is specifically expressed as: , HA i represents the workpiece chemical property evaluation value of the i-th sub-data area, represents the average corrosion rate of the workpiece surface in the ith sub-data area, Indicates the depth value of the oxidation of the workpiece surface in the i-th sub-data area, represents the workpiece activity loss rate of the i-th sub-data area; the workpiece environmental performance data analysis unit is used to establish a workpiece environmental performance data analysis model, import the workpiece environmental performance data transmitted by the workpiece information acquisition module into the workpiece environmental performance data analysis model, and calculate the workpiece environmental performance evaluation value of each sub-data area, which is specifically expressed as: , YA i represents the workpiece environmental performance evaluation value of the i-th sub-data area, represents the dust particle concentration in the ith sub-data area, Indicates the maximum dust particle concentration in the target data area, represents the oil particle concentration in the (i-1)th sub-data area, represents the oil particle concentration in the ith sub-data area, Indicates the low-temperature brittle temperature of the i-th sub-data region.

[0018] Preferably, the workpiece information analysis module calculates the comprehensive workpiece information evaluation value of the i-th time zone through the workpiece physical property evaluation value of the i-th sub-data zone, the workpiece chemical property evaluation value of the i-th sub-data zone, and the workpiece environmental property evaluation value of the i-th sub-data zone, which is specifically expressed as: , represents the comprehensive workpiece information evaluation value of the i-th sub-data area, Indicates other factors affecting the evaluation value of comprehensive artifact information.

[0019] Preferably, the automatic tool arrangement system based on automation is characterized in that: the tool performance data includes the tool surface coating area, the tool surface wear rate, the cutting edge sharpness, and the tool cutting friction coefficient, which are respectively denoted as Ds, Dm, Dn, and Df, wherein the tool cutting friction coefficient represents the friction coefficient generated by the tool contacting the workpiece surface; the machining process data includes the cutting rate, feed rate, cutting depth, and the angular velocity of the tool on the spindle of the CNC lathe, which are respectively denoted as Jq, Jg, Jx, and Jl, wherein the feed rate represents the rate at which the workpiece moves from one position to another during the machining process.

[0020] Preferably, the tool performance data analysis unit is used to establish a tool performance data analysis model, import the tool performance data transmitted by the smart blade processing acquisition module into the tool performance data analysis model, and calculate the tool performance evaluation value of each sub-data area, which is specifically expressed as: , D.A. i represents the tool performance evaluation value of the ith sub-data area, represents the tool surface coating area of ​​the i-th sub-data area, represents the tool wear rate of the ith sub-data area, represents the edge sharpness of the i-th sub-data area, represents the tool cutting friction coefficient of the (i-1)th sub-data area, represents the tool cutting friction coefficient of the i-th sub-data area; the processing data analysis unit is used to establish a processing data analysis model, import the processing data transmitted by the intelligent blade processing acquisition module into the processing data analysis model, and calculate the processing evaluation value of each sub-data area, which is specifically expressed as: , J.A. irepresents the processing evaluation value of the i-th sub-data area, represents the cutting rate of the (i-1)th sub-data area, represents the cutting rate of the ith sub-data area, represents the feed rate of the ith sub-data area, represents the cutting depth of the i-th sub-data area, Indicates the maximum cutting depth of the target data area. Represents the angular velocity of the tool in the i-th sub-data area on the spindle of the CNC lathe.

[0021] Preferably, the intelligent blade processing information analysis module calculates the comprehensive intelligent blade processing evaluation value of the i-th time zone through the tool performance evaluation value of the i-th sub-data area and the processing process evaluation value of the i-th sub-data area, which is specifically expressed as: , represents the comprehensive intelligent blade processing evaluation value of the i-th sub-data area, Represents other influencing factors of the comprehensive intelligent blade processing evaluation value.

[0022] Preferably, the comprehensive data processing model is obtained in the following manner:

[0023] ( , )

[0024] Where T represents the comprehensive anomaly index of the target data area, represents the comprehensive abnormality index of the ith sub-data area, represents the weight of the comprehensive workpiece information evaluation value, Indicates the weight of the comprehensive intelligent blade processing evaluation value, Represents other influencing factors of the comprehensive anomaly index of the target data area, where i=1, 2, …, n.

[0025] Preferably, an automatic tool arrangement method based on automation comprises the following specific steps:

[0026] Step 1: Information entry: used to detect workpieces in each area of ​​the target factory and enter the information of the target factory managers into the system, where the target factory managers’ information includes face recognition and contact information;

[0027] Step 2: Workpiece area division: It is used to determine the workpiece data of each area in the target factory as the target data area, and divide the target data area into various sub-data areas by dividing them according to production batches, and mark them as 1, 2...n in sequence;

[0028] Step 3: Workpiece information collection: used to collect the workpiece physical property data, workpiece chemical property data and workpiece environmental property data of each sub-data area and transmit the collected data to the workpiece information analysis step;

[0029] Step 4: Workpiece information analysis: including a workpiece physical property data analysis unit, a workpiece chemical property data analysis unit and a workpiece environment data analysis unit, which are used to analyze the data transmitted in the workpiece information acquisition step and transmit the analysis results to the comprehensive data processing step;

[0030] Step 5: Intelligent Blade Processing Information Collection: used to collect tool performance data and processing process data of each sub-data area and transmit the data collected in the Intelligent Blade Processing Information Collection step to the Intelligent Blade Processing Information Analysis step;

[0031] Step 6: Smart Blade Processing Information Analysis: including a tool performance data analysis unit and a processing process data analysis unit, which are used to analyze the data transmitted in the Smart Blade Processing Information Collection Step and transmit the analysis results to the Comprehensive Data Processing Step;

[0032] Step 7: Comprehensive data processing: used to establish a comprehensive data processing model, import the data transmitted by the workpiece information analysis step and the intelligent blade processing information analysis step into the comprehensive data processing model, calculate the comprehensive abnormality index of the target time zone, and transmit it to the early warning step;

[0033] Step 8: Early warning: It is used to establish a preset value of the comprehensive abnormality index, and judge the comprehensive abnormality index of each sub-time zone according to the preset value of the comprehensive abnormality index, and issue an early warning signal according to the judgment result.

[0034] Technical effects and advantages of the present invention:

[0035] 1. The present invention can arrange the production process more effectively through the workpiece area division module, reduce the confusion and waiting time in the production process, thereby improving the overall production efficiency. Managers can more intuitively understand the work progress, quality status and resource utilization of each area, discover problems in time and take measures to solve them;

[0036] 2. The present invention can obtain detailed and accurate workpiece information through the workpiece information acquisition module, provide precise guidance for the production process, reduce production errors and improve accuracy; the intelligent blade processing information acquisition module accurately collects various parameters in the processing process, such as tool wear rate, cutting rate, feed rate, etc., which helps to adjust the processing parameters in time and ensure processing accuracy;

[0037] 3. A data analysis model is established through the workpiece information analysis module to conduct in-depth analysis of the collected data. These analyses are helpful in identifying potential problems in automatic tool arrangement and provide an important basis for the subsequent digitization of automatic tool arrangement in the factory. A data analysis model is established through the Zhiren processing information analysis module to analyze the collected data, which is convenient for managers to change tools in advance and predict the life of tools. A comprehensive analysis model is established through the comprehensive data processing module to analyze the results of the workpiece information analysis module and the Zhiren processing information analysis module, and calculate the comprehensive abnormality index of the target data area, making the automatic tool arrangement more intuitive. The early warning module can promptly detect safety hazards such as equipment failures and environmental abnormalities to avoid accidents, and realize real-time monitoring and early warning of automatic tool arrangement, which is conducive to quickly discovering and handling problems and ensuring the stability and safety of automatic tool arrangement. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] As attached Figure 1 The automation-based automatic tool arrangement system shown in the figure includes an information input module, a workpiece area division module, a workpiece information collection module, a smart blade processing information collection module, a workpiece information analysis module, a smart blade processing information analysis module, a comprehensive data processing module, and an early warning module.

[0041] The output end of the information input module is connected to the input end of the workpiece area division module, the output end of the workpiece area division module is connected to the input end of the workpiece information acquisition module and the smart blade processing information acquisition module, the output end of the workpiece information acquisition module is connected to the input end of the workpiece information analysis module, the output end of the smart blade processing information acquisition module is connected to the input end of the smart blade processing information analysis module, the output ends of the workpiece information analysis module and the smart blade processing information analysis module are connected to the input end of the comprehensive data processing module, and the output end of the comprehensive data processing module is connected to the input end of the early warning module.

[0042] The information entry module is used to detect workpieces in various areas of the target factory and enter information of managers of the target factory into the system, wherein the information of managers of the target factory includes face recognition and contact information.

[0043] The area division module is used to determine the workpiece data of each area in the target factory as the target data area, divide the target data area into various sub-data areas by dividing them according to production batches, and mark them as 1, 2...n in sequence.

[0044] The workpiece information acquisition module is used to collect workpiece physical property data, workpiece chemical property data and workpiece environmental property data of each sub-data area and transmit the collected data to the workpiece information analysis module.

[0045] In this embodiment, it is specifically necessary to explain that the physical property data of the workpiece include Mohs hardness value, elastic modulus, thermal conductivity, and compressive strength value of the workpiece, which are respectively denoted as Wm, Wt, Wr, and Wk. The Mohs hardness value represents a standard for measuring the hardness of a material, which is measured by the notch method. The elastic modulus represents the proportional coefficient of the material in the elastic deformation stage when stress and strain are in a positive proportional relationship. The chemical property data of the workpiece include the average corrosion rate of the workpiece surface, the depth of oxidation of the workpiece surface, and the activity loss rate of the workpiece, which are respectively denoted as Hf, Hy, and Hx. The activity loss rate of the workpiece represents the percentage of the workpiece activity reduction per unit time. The environmental performance data of the workpiece include the dust particle concentration, the oil particle concentration, and the low-temperature embrittlement temperature, which are respectively denoted as Yf, Yw, and Yc.

[0046] In this embodiment, it is specifically necessary to explain that the Mohs hardness value from the beginning to the end of the workpiece is detected by a Mohs hardness meter; the elastic modulus is detected from the beginning to the end of the workpiece by a universal material testing machine; the thermal conductivity is detected from the beginning to the end of the workpiece by a steady-state thermal conductivity tester; the compressive strength value is detected from the beginning to the end of the workpiece by a pressure testing machine; the average corrosion degree of the workpiece surface is detected from the beginning to the end by an electrochemical testing method to further detect the average corrosion rate of the workpiece surface; the depth value of surface oxidation is detected from the beginning to the end of the workpiece by an oxygen content analyzer; the activity loss rate of the workpiece is detected by a reaction calorimeter; the dust particle concentration is detected on the workpiece surface by a laser dust meter; the oil particle concentration is detected on the workpiece surface by a fluorescent oil meter; and the low-temperature brittle temperature is detected by installing a thermal sensor on the surface of the workpiece.

[0047] The workpiece information analysis module includes a workpiece physical property data analysis unit, a workpiece chemical property data analysis unit and a workpiece environment data analysis unit, which are used to analyze the data transmitted by the workpiece information acquisition module and transmit the analysis results to the comprehensive data processing module.

[0048] In this embodiment, it should be specifically explained that the workpiece physical performance data analysis unit is used to establish a workpiece physical performance data analysis model, import the workpiece physical performance data transmitted by the workpiece information acquisition module into the workpiece physical performance data analysis model, and calculate the workpiece physical performance evaluation value of each sub-data area, which is specifically expressed as: , M.A. i represents the workpiece physical property evaluation value of the i-th sub-data area, represents the Mohs hardness value of the ith sub-data area, represents the elastic modulus of the ith sub-data region, represents the thermal conductivity of the ith sub-data region, Indicates the compressive strength value of the workpiece in the i-th sub-data area, Indicates the maximum workpiece compressive strength value of the target data area.

[0049] In this embodiment, it should be specifically explained that the workpiece chemical property data analysis unit is used to establish a workpiece chemical property data analysis model, import the workpiece chemical property data transmitted by the workpiece information acquisition module into the workpiece chemical property data analysis model, and calculate the workpiece chemical property evaluation value of each sub-data area, which is specifically expressed as: , HA i represents the workpiece chemical property evaluation value of the i-th sub-data area, represents the average corrosion rate of the workpiece surface in the ith sub-data area, Indicates the depth value of the oxidation of the workpiece surface in the i-th sub-data area, Represents the activity loss rate of the artifacts in the i-th sub-data region.

[0050] In this embodiment, it is specifically required to explain that the workpiece environmental performance data analysis unit is used to establish a workpiece environmental performance data analysis model, import the workpiece environmental performance data transmitted by the workpiece information acquisition module into the workpiece environmental performance data analysis model, and calculate the workpiece environmental performance evaluation value of each sub-data area, which is specifically expressed as: , YA i represents the workpiece environmental performance evaluation value of the i-th sub-data area, represents the dust particle concentration in the ith sub-data area, Indicates the maximum dust particle concentration in the target data area, represents the oil particle concentration in the (i-1)th sub-data area, represents the oil particle concentration in the ith sub-data area, Indicates the low-temperature brittle temperature of the i-th sub-data region.

[0051] The workpiece information analysis module calculates the comprehensive workpiece information evaluation value of the i-th time zone through the workpiece physical property evaluation value of the i-th sub-data zone, the workpiece chemical property evaluation value of the i-th sub-data zone, and the workpiece environmental property evaluation value of the i-th sub-data zone, which is specifically expressed as: , represents the comprehensive workpiece information evaluation value of the i-th sub-data area, Indicates other factors affecting the evaluation value of comprehensive artifact information.

[0052] The smart blade processing information collection module is used to collect tool performance data and processing process data in each sub-data area and transmit the data collected by the smart blade processing information collection module to the smart blade processing information analysis module.

[0053] In this embodiment, it is specifically necessary to explain that the tool performance data includes the tool surface coating area, the tool surface wear rate, the cutting edge sharpness, and the tool cutting friction coefficient, which are respectively denoted as Ds, Dm, Dn, and Df, wherein the tool cutting friction coefficient represents the friction coefficient generated when the tool contacts the workpiece surface; the machining process data includes the cutting rate, feed rate, cutting depth, and the angular velocity of the tool on the spindle of the CNC lathe, which are respectively denoted as Jq, Jg, Jx, and Jl, wherein the feed rate represents the rate at which the workpiece moves from one position to another during the machining process.

[0054] In this embodiment, it is specifically necessary to explain that the wear amount of the tool is measured regularly by a tool wear measuring instrument, and then the wear rate is detected; the friction conditions during the tool cutting process are detected by a friction testing machine, and the tool cutting friction coefficient is detected; the tool surface coating area and the cutting edge sharpness are evaluated by long-term production practice data statistics and analysis to evaluate the specific conditions of the tool; the speed of the machine tool spindle is measured by a speed measuring instrument to detect the cutting rate and feed rate; the cutting depth of the workpiece is detected by a depth micrometer; and the angular velocity of the spindle rotation is detected by a spindle speed sensor.

[0055] The smart blade processing information analysis module includes a tool performance data analysis unit and a processing process data analysis unit, which are used to analyze the data transmitted by the smart blade processing information acquisition module and transmit the analysis results to the comprehensive data processing module.

[0056] In this embodiment, it should be specifically explained that the tool performance data analysis unit is used to establish a tool performance data analysis model, import the tool performance data transmitted by the smart blade processing acquisition module into the tool performance data analysis model, and calculate the tool performance evaluation value of each sub-data area, which is specifically expressed as: , D.A. i represents the tool performance evaluation value of the ith sub-data area, represents the tool surface coating area of ​​the i-th sub-data area, represents the tool wear rate of the ith sub-data area, represents the edge sharpness of the i-th sub-data area, represents the tool cutting friction coefficient of the (i-1)th sub-data area, Represents the tool cutting friction coefficient of the i-th sub-data area.

[0057] In this embodiment, it should be specifically explained that the processing data analysis unit is used to establish a processing data analysis model, import the processing data transmitted by the intelligent blade processing acquisition module into the processing data analysis model, and calculate the processing evaluation value of each sub-data area, which is specifically expressed as: , J.A. i represents the processing evaluation value of the i-th sub-data area, represents the cutting rate of the (i-1)th sub-data area, represents the cutting rate of the ith sub-data area, represents the feed rate of the ith sub-data area, represents the cutting depth of the i-th sub-data area, Indicates the maximum cutting depth of the target data area. Represents the angular velocity of the tool in the i-th sub-data area on the spindle of the CNC lathe.

[0058] The intelligent blade processing information analysis module calculates the comprehensive intelligent blade processing evaluation value of the i-th time zone through the tool performance evaluation value of the i-th sub-data zone and the processing process evaluation value of the i-th sub-data zone, which is specifically expressed as: , represents the comprehensive intelligent blade processing evaluation value of the i-th sub-data area, Represents other influencing factors of the comprehensive intelligent blade processing evaluation value.

[0059] The comprehensive data processing module is used to establish a comprehensive data processing model, import the data transmitted by the workpiece information analysis module and the smart blade processing information analysis module into the comprehensive data processing model, calculate the comprehensive abnormality index of the target time area, and transmit it to the early warning module.

[0060] In this embodiment, it should be specifically explained that the method for obtaining the comprehensive data processing model is:

[0061] ( , )

[0062] Where T represents the comprehensive anomaly index of the target data area, represents the comprehensive abnormality index of the ith sub-data area, represents the weight of the comprehensive workpiece information evaluation value, Indicates the weight of the comprehensive intelligent blade processing evaluation value, Represents other influencing factors of the comprehensive anomaly index of the target data area, where i=1, 2, …, n.

[0063] The early warning module is used to establish a preset value of the comprehensive abnormality index, and judge the comprehensive abnormality index of each sub-time zone according to the preset value of the comprehensive abnormality index, and issue an early warning signal according to the judgment result.

[0064] In this embodiment, it should be specifically noted that the preset value of the comprehensive abnormality index is marked as ,when When , it means that the comprehensive abnormality index of the ith sub-data area is less than the preset value of the comprehensive abnormality index, indicating that the automatic tool arrangement system of the ith sub-time area is normal. When , it means that the comprehensive abnormality index of the target data area is greater than the preset value of the comprehensive abnormality index, indicating that the automatic tool arrangement system in the target data area is abnormal, and an early warning signal is issued to the relevant management personnel for processing.

[0065] The present invention can arrange the production process more effectively through the workpiece area division module, reduce the confusion and waiting time in the production process, thereby improving the overall production efficiency. The management personnel can more intuitively understand the work progress, quality status and resource utilization of each area, timely discover problems and take measures to solve them; through the workpiece information collection module, detailed and accurate workpiece information can be obtained to provide precise guidance for the production process, reduce production errors and improve accuracy; through the intelligent blade processing information collection module, various parameters in the processing process, such as tool wear rate, cutting rate, feed rate, etc., are accurately collected, which is helpful to adjust the processing parameters in time and ensure the processing accuracy; through the workpiece information analysis module, a data analysis model is established to conduct in-depth analysis of the collected data. These analysis modules can be used to analyze the workpiece information in detail. The analysis is helpful to identify potential problems of automatic tool arrangement, and provides an important basis for the subsequent digitization of automatic tool arrangement in factories; a data analysis model is established through the intelligent processing information analysis module to analyze the collected data, which is convenient for managers to change tools in advance and predict the life of tools; a comprehensive analysis model is established through the comprehensive data processing module, and the results of the workpiece information analysis module and the intelligent processing information analysis module are analyzed to calculate the comprehensive abnormality index of the target data area, making the automatic tool arrangement more intuitive; the early warning module can promptly detect safety hazards such as equipment failure and environmental abnormalities to avoid accidents, and realize real-time monitoring and early warning of automatic tool arrangement, which is conducive to quickly discovering and handling problems and ensuring the stability and safety of automatic tool arrangement.

[0066] Secondly, in the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0067] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An automatic tool arrangement system based on automation, characterized in that: include: Information entry module: used to detect workpieces in various areas of the target factory and enter the information of the target factory managers into the system, where the target factory managers’ information includes face recognition and contact information; Workpiece area division module: used to determine the workpiece data of each area in the target factory as the target data area, divide the target data area into various sub-data areas by dividing them according to production batches, and mark them as 1, 2...n in sequence; Workpiece information acquisition module: used to collect workpiece physical property data, workpiece chemical property data and workpiece environmental performance data of each sub-data area and transmit the collected data to the workpiece information analysis module; Workpiece information analysis module: including workpiece physical performance data analysis unit, workpiece chemical performance data analysis unit and workpiece environmental performance data analysis unit, used to analyze the data transmitted by the workpiece information acquisition module and transmit the analysis results to the comprehensive data processing module; Smart Blade Processing Information Collection Module: used to collect tool performance data and processing process data of each sub-data area and transmit the data collected by the Smart Blade Processing Information Collection Module to the Smart Blade Processing Information Analysis Module; Smart Blade Processing Information Analysis Module: includes tool performance data analysis unit and processing process data analysis unit, which is used to analyze the data transmitted by the Smart Blade Processing Information Acquisition Module and transmit the analysis results to the comprehensive data processing module; Comprehensive data processing module: used to establish a comprehensive data processing model, import the data transmitted by the workpiece information analysis module and the intelligent blade processing information analysis module into the comprehensive data processing model, calculate the comprehensive abnormality index of the target time area, and transmit it to the early warning module; Early warning module: used to establish a preset value of the comprehensive abnormality index, and judge the comprehensive abnormality index of each sub-time zone according to the preset value of the comprehensive abnormality index, and issue an early warning signal according to the judgment result; The workpiece physical performance data analysis unit is used to establish a workpiece physical performance data analysis model, import the workpiece physical performance data transmitted by the workpiece information acquisition module into the workpiece physical performance data analysis model, and calculate the workpiece physical performance evaluation value of each sub-data area, which is specifically expressed as: MA i represents the workpiece physical property evaluation value of the ith sub-data area, Wm i Indicates the Mohs hardness value of the ith sub-data area, Wt i represents the elastic modulus of the ith sub-data region, Wr i represents the thermal conductivity of the ith sub-data region, Wk i Indicates the compressive strength value of the workpiece in the ith sub-data area, Wk max Indicates the maximum compressive strength value of the workpiece in the target data area; the workpiece chemical property data analysis unit is used to establish a workpiece chemical property data analysis model, import the workpiece chemical property data transmitted by the workpiece information acquisition module into the workpiece chemical property data analysis model, and calculate the workpiece chemical property evaluation value of each sub-data area, which is specifically expressed as: HA i Hf represents the chemical performance evaluation value of the workpiece in the ith sub-data area. i represents the average corrosion rate of the workpiece surface in the ith sub-data area, Hy i Indicates the depth value of the workpiece surface oxidation in the i-th sub-data area, Hx i represents the workpiece activity loss rate of the i-th sub-data area; the workpiece environmental performance data analysis unit is used to establish a workpiece environmental performance data analysis model, import the workpiece environmental performance data transmitted by the workpiece information acquisition module into the workpiece environmental performance data analysis model, and calculate the workpiece environmental performance evaluation value of each sub-data area, which is specifically expressed as: YA i represents the workpiece environmental performance evaluation value of the i-th sub-data area, Yf i represents the dust particle concentration in the ith sub-data area, Yf max Indicates the maximum dust particle concentration in the target data area, Yw i-1 represents the oil particle concentration in the (i-1)th sub-data area, Yw i represents the oil particle concentration in the ith sub-data area, Yc i represents the low-temperature brittle temperature of the i-th sub-data region; The tool performance data analysis unit is used to establish a tool performance data analysis model, import the tool performance data transmitted by the intelligent blade processing acquisition module into the tool performance data analysis model, and calculate the tool performance evaluation value of each sub-data area, which is specifically expressed as: DA i represents the tool performance evaluation value of the ith sub-data area, Ds i Denotes the tool surface coating area of ​​the ith sub-data region, Dm i Indicates the tool wear rate of the ith sub-data area, Dn i Indicates the edge sharpness of the i-th sub-data area, Df i-1 Indicates the tool cutting friction coefficient of the (i-1)th sub-data area, Df i represents the tool cutting friction coefficient of the i-th sub-data area; the processing data analysis unit is used to establish a processing data analysis model, import the processing data transmitted by the intelligent blade processing acquisition module into the processing data analysis model, and calculate the processing evaluation value of each sub-data area, which is specifically expressed as: J A i represents the processing evaluation value of the i-th sub-data area, Jq i-1 represents the cutting rate of the (i-1)th sub-data area, Jq i represents the cutting rate of the ith sub-data area, Jg i represents the feed rate of the ith sub-data area, Jx i Indicates the cutting depth of the ith sub-data area, Jx max Indicates the maximum cutting depth of the target data area, Jl i Represents the angular velocity of the tool in the i-th sub-data area on the spindle of the CNC lathe.

2. The automatic tool arrangement system based on automation according to claim 1, characterized in that: The workpiece area division module is used to determine the workpiece data of each area in the target factory as the target data area, divide the target data area into various sub-data areas by dividing them according to production batches, and mark them as 1, 2...n in sequence.

3. The automatic tool arrangement system based on automation according to claim 1, characterized in that: The physical property data of the workpiece include Mohs hardness value, elastic modulus, thermal conductivity, and compressive strength value of the workpiece, which are respectively denoted as Wm, Wt, Wr, and Wk. The Mohs hardness value represents a standard for measuring the hardness of a material, which is measured by the notch method. The elastic modulus represents the proportional coefficient of the material in the elastic deformation stage when stress and strain are in a positive proportional relationship. The chemical property data of the workpiece include the average corrosion rate of the workpiece surface, the depth of oxidation of the workpiece surface, and the activity loss rate of the workpiece, which are respectively denoted as Hf, Hy, and Hx. The activity loss rate of the workpiece represents the percentage of the workpiece activity reduction per unit time. The environmental performance data of the workpiece include dust particle concentration, oil particle concentration, and low-temperature embrittlement temperature, which are respectively denoted as Yf, Yw, and Yc.

4. The automatic tool arrangement system based on automation according to claim 1, characterized in that: The workpiece information analysis module calculates the comprehensive workpiece information evaluation value of the i-th time zone through the workpiece physical property evaluation value of the i-th sub-data zone, the workpiece chemical property evaluation value of the i-th sub-data zone, and the workpiece environmental performance evaluation value of the i-th sub-data zone, which is specifically expressed as: θ i =(MA i +HA i +YA i )×δ1,θ i represents the comprehensive workpiece information evaluation value of the i-th sub-data area, and δ1 represents other influencing factors of the comprehensive workpiece information evaluation value.

5. The automatic tool arrangement system based on automation according to claim 1, characterized in that: The tool performance data include the tool surface coating area, the tool surface wear rate, the cutting edge sharpness, and the tool cutting friction coefficient, which are denoted as Ds, Dm, Dn, and Df respectively, where the tool cutting friction coefficient represents the friction coefficient generated when the tool contacts the workpiece surface; the machining process data include the cutting rate, feed rate, cutting depth, and the angular velocity of the tool on the spindle of the CNC lathe, which are denoted as Jq, Jg, Jx, and Jl respectively, where the feed rate represents the rate at which the workpiece moves from one position to another during the machining process.

6. The automatic tool arrangement system based on automation according to claim 1, characterized in that: The intelligent blade processing information analysis module calculates the comprehensive intelligent blade processing evaluation value of the i-th time zone through the tool performance evaluation value of the i-th sub-data area and the processing process evaluation value of the i-th sub-data area, which is specifically expressed as: represents the comprehensive intelligent blade processing evaluation value of the i-th sub-data area, and δ2 represents other influencing factors of the comprehensive intelligent blade processing evaluation value.

7. The automatic tool arrangement system based on automation according to claim 1, characterized in that: The comprehensive data processing model is obtained as follows: Where T represents the comprehensive anomaly index of the target data area, ξ i represents the comprehensive abnormality index of the i-th sub-data area, α represents the weight of the comprehensive workpiece information evaluation value, β represents the weight of the comprehensive intelligent blade processing evaluation value, and γ represents other influencing factors of the comprehensive abnormality index of the target data area, where i = 1, 2, ..., n.

8. An automated tool arrangement method based on automation, used for using an automated tool arrangement system based on automation as described in any one of claims 1 to 7, characterized in that: The following steps are involved: Step 1: Information entry: used to detect workpieces in each area of ​​the target factory and enter the information of the target factory managers into the system, where the target factory managers’ information includes face recognition and contact information; Step 2: Workpiece area division: It is used to determine the workpiece data of each area in the target factory as the target data area, and divide the target data area into various sub-data areas by dividing them according to production batches, and mark them as 1, 2...n in sequence; Step 3: Workpiece information collection: used to collect the workpiece physical property data, workpiece chemical property data and workpiece environmental property data of each sub-data area and transmit the collected data to the workpiece information analysis step; Step 4: Workpiece information analysis: including a workpiece physical property data analysis unit, a workpiece chemical property data analysis unit and a workpiece environment data analysis unit, which are used to analyze the data transmitted in the workpiece information acquisition step and transmit the analysis results to the comprehensive data processing step; Step 5: Intelligent Blade Processing Information Collection: used to collect tool performance data and processing process data of each sub-data area and transmit the data collected in the Intelligent Blade Processing Information Collection step to the Intelligent Blade Processing Information Analysis step; Step 6: Smart Blade Processing Information Analysis: including a tool performance data analysis unit and a processing process data analysis unit, which are used to analyze the data transmitted in the Smart Blade Processing Information Collection Step and transmit the analysis results to the Comprehensive Data Processing Step; Step 7: Comprehensive data processing: used to establish a comprehensive data processing model, import the data transmitted by the workpiece information analysis step and the intelligent blade processing information analysis step into the comprehensive data processing model, calculate the comprehensive abnormality index of the target time zone, and transmit it to the early warning step; Step 8: Early warning: It is used to establish a preset value of the comprehensive abnormality index, and judge the comprehensive abnormality index of each sub-time zone according to the preset value of the comprehensive abnormality index, and issue an early warning signal according to the judgment result.

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