Machine tool processing tool centralized management method and system

Abstract

The application provides a centralized management and control method for machine tool machining tools, which comprises the following steps: obtaining measurement data of the tool and writing the data into an electronic tag of the tool; creating a package central management system database according to tool initialization data; according to the model of the processed workpiece, calling the corresponding tool scheme from the central management system database, obtaining the tool list of the current machine tool tool magazine, calculating the tool changing requirements of each tool position, and performing the tool changing operation according to the tool changing requirements of each tool position, and updating the data of the central management system database after the tool changing; based on the current processing workpiece type, cutting time and processing quantity, obtaining the estimation result of the remaining life of the current processing tool and updating the electronic tag thereof, and sending a tool updating reminder information when the life threshold is reached. Through the centralized intelligent management and control of the tool, the application realizes the tracking, intelligent scheduling and optimized use of the whole life cycle of the tool, improves the processing efficiency, guarantees the product quality and reduces the production cost.

Description

Technical Field

[0001] This application relates to the field of CNC machine tool processing technology, specifically to a method and system for centralized control of machine tool processing cutting tools. Background Technology

[0002] In CNC machine tool machining, tool management is a key factor affecting machining efficiency and quality. Traditional tool management methods rely on manual recording and scheduling, which has the following problems: 1. There is a lack of information management tools for the tool information in the machine tool magazine and the tooling plans for product processing. Therefore, when a new product requires a change of machine tool, the process engineers rely on combining the current machine tool information with the tooling plans required for the new product to formulate a tool change plan. As a result, preparation time is long, efficiency is low, and errors are prone to occur.

[0003] 2. The input of tool compensation data into the CNC machine tool is done by personnel one by one, which is time-consuming and prone to errors.

[0004] 3. The tool positions in the tool magazine and the cutting tools are sometimes mixed up. When personnel change tools, the machining program needs to be modified, which results in the machining program not being fixed and causing confusion in use.

[0005] 4. For production lines or workshops, there are many types of cutting tools, a large number of them, and their use is scattered. The original management methods are difficult to achieve single monitoring and unified management of all cutting tools.

[0006] Therefore, there is an urgent need for a method and system that can achieve centralized information-based management and control of cutting tools. Summary of the Invention

[0007] This application provides a centralized control method and system for machine tool processing tools, which can solve the technical problems existing in the prior art, such as lack of information management of tools, low efficiency of manual tool changing, easy error in tool compensation data entry, program chaos caused by mixed tool positions, and difficulty in unified monitoring of dispersed tools.

[0008] In a first aspect, this application provides a method for centralized control of machine tool cutting tools, comprising the following steps: Acquire the measurement data of the cutting tool and write the measurement data to the electronic tag of the cutting tool; Based on the tool initialization data, create a central management system database that includes a central tool magazine data table, a product tool scheme table, a machine tool tool magazine arrangement table, a machine tool list table, and a tool history table; Based on the workpiece model, the corresponding tool scheme is retrieved from the central management system database, the tool table of the current machine tool tool magazine is obtained, the tool change requirements of each tool position are calculated, and the tool change operation is executed according to the tool change requirements of each tool position. After the tool change, the data in the central management system database is updated. Based on the current workpiece type, cutting time, and processing quantity, the remaining life of the current machining tool is estimated and its electronic tag is updated. When the remaining life reaches the life threshold, a tool update reminder message is sent.

[0009] Furthermore, the acquisition of the tool's measurement data and the writing of the measurement data to the tool's electronic tag specifically includes the following steps: Acquire measurement data for the new cutting tool, including length, diameter, and cutting edge angle data; Write measurement results and tool information to an electronic tag on the tool.

[0010] Furthermore, the step of creating a central management system database based on tool initialization data, including a central tool magazine data table, a product tool scheme table, a machine tool tool magazine arrangement table, a machine tool list table, and a tool history table, specifically includes the following steps: Synchronize the unique identifier, model, geometric parameters and expected life information of all tools in the central tool magazine, record the current storage level and tag number of each tool, and generate a central tool magazine data table; Establish a mapping relationship between product models and required tooling schemes, define the tooling type, quantity, and process parameters corresponding to each product during processing, and form a product tooling scheme table; Configure a fixed tool position tooling scheme for each machine tool, assign the corresponding tools for the products to be machined to the designated tool positions in the machine tool magazine according to their type, and generate a machine tool magazine tooling schedule; Collect the unique identifier, model, and actual tool compensation data of each tool position in the current tool magazine of each machine tool, and dynamically maintain the machine tool list table; Using the unique identifier of each tool as an index, record the usage history data of each tool to build a tool history table.

[0011] Furthermore, the process of retrieving the corresponding tooling scheme from the central management system database based on the workpiece model, obtaining the tool table of the current machine tool tool magazine, calculating the tool change requirements for each tool position, executing the tool change operation according to the tool change requirements for each tool position, and updating the data in the central management system database after the tool change, specifically includes the following steps: Based on the workpiece model, retrieve the corresponding tool configuration scheme from the central management system database, obtain the current tool list of the machine tool magazine, compare the tool configuration scheme with the machine tool magazine list, and determine the tool change requirements for each tool position. According to the tool change requirements of each tool position, retrieve the required tools one by one and verify their information, execute the tool change operation, and update the tool data of the changed tools synchronously. The parameters of the replaced original tool are measured, the remaining life is calculated based on the measurement results and the tool information is updated. The original tool is then stored again and its status is recorded. The latest status and location information of all tools after replacement are synchronously updated in the central management system database.

[0012] Furthermore, the process of obtaining an estimate of the remaining life of the current machining tool based on the current workpiece type, cutting time, and machining quantity, updating its electronic tag, and sending a tool update reminder when the remaining life reaches a life threshold specifically includes the following steps: The preset tool wear coefficient is matched according to the current workpiece type, and the cumulative wear is calculated in combination with the real-time collected cutting time. The cumulative wear is compared with the tool life threshold in real time to generate remaining life data and write it into an electronic tag. When the remaining tool life is below the tool life threshold, an early warning signal is triggered, generating a replacement notification that includes the tool identifier and a recommended replacement tool model.

[0013] Furthermore, after obtaining the estimated remaining life of the current machining tool based on the current workpiece type, cutting time, and machining quantity, and updating its electronic tag, and sending a tool update reminder when the remaining life reaches the life threshold, the process also includes the following steps: By collecting tool usage data and analyzing its wear trends, the system generates analysis results including tool life prediction, cutting parameter optimization suggestions, and performance comparisons of tools from various brands, and presents the analysis results in a visual format.

[0014] Furthermore, the analysis results, which involve collecting tool usage data and analyzing its wear trends to generate tool life predictions, cutting parameter optimization suggestions, and performance comparisons of various tool brands, and then visualizing the analysis results, specifically include the following steps: Collect real-time operating data during tool use, monitor the changing trends of tool geometry parameters, and record cumulative wear and historical wear trend data; Based on historical wear trend data, combined with current machining parameters and cumulative wear, a dynamic tool life prediction model is established to obtain tool life prediction results and trigger an early warning signal when the life prediction results approach the safety threshold. The correlation between tool wear rate and machining efficiency under different combinations of cutting parameters is obtained. The optimal balance point between wear rate and machining efficiency is screened through data fitting and optimization algorithms, and optimization adjustment suggestions for cutting speed, feed rate and depth of cut are generated. By statistically analyzing the service life, wear trend curves, and failure rate data of different brands of cutting tools for the same workpiece type, a multi-dimensional brand performance scoring system is established to comprehensively evaluate the cost-effectiveness and output the performance comparison results of cutting tools from various brands. The tool life prediction results, optimization and adjustment suggestions, and performance comparison results of tools from various brands are presented in a visual manner.

[0015] Secondly, this application provides a centralized control system for machine tool processing cutting tools, including: The parameter measurement and data writing module is used to acquire the measurement data of the tool and write the measurement data to the tool's electronic tag; The database initialization module is used to create a central management system database based on tool initialization data, which includes a central tool magazine data table, a product tool scheme table, a machine tool tool magazine tool arrangement table, a machine tool list table, and a tool history table. The tool changing and database update module is communicatively connected to the database initialization module. It is used to retrieve the corresponding tool scheme from the central management system database according to the model of the workpiece being processed, obtain the tool table of the current machine tool tool magazine, calculate the tool changing requirements of each tool position, and perform the tool changing operation according to the tool changing requirements of each tool position. After the tool changing, it updates the data in the central management system database. The electronic tag update and tool change reminder module is communicatively connected to the parameter measurement and data writing module and the tool change and database update module. It is used to obtain the estimated result of the remaining life of the current machining tool based on the current workpiece type, cutting time and machining quantity, and update its electronic tag. When the remaining life reaches the life threshold, it sends a tool update reminder message.

[0016] Furthermore, the tool changing and database update module includes: The tool change requirement acquisition unit is used to retrieve the corresponding tool configuration scheme from the central management system database according to the model of the workpiece being processed, obtain the tool list of the current machine tool tool magazine, compare the tool configuration scheme with the machine tool tool magazine list, and determine the tool change requirement for each tool position. The tool change execution unit is communicatively connected to the tool change requirement acquisition unit. It is used to retrieve the required tools one by one according to the tool change requirements of each tool position, verify their information, execute the tool change operation, and update the tool data synchronously. The original tool information update unit is communicatively connected to the tool change execution unit. It is used to measure the parameters of the replaced original tool, calculate the remaining life based on the measurement results, update the tool information, restore the original tool and record its status. The database update unit is communicatively connected to the tool change execution unit and the original tool information update unit, and is used to synchronously update the latest status and location information of all tools after the replacement is completed in the central management system database.

[0017] Thirdly, this application provides a computer-readable storage medium storing a centralized control program for machine tool processing tools, wherein when the centralized control program for machine tool processing tools is executed by a processor, it implements the steps of the centralized control method for machine tool processing tools as described above.

[0018] The beneficial effects of the technical solutions provided in this application include at least the following: The collaborative management of electronic tags and a central database enables precise tracking and intelligent control of the entire tool lifecycle, improving the automation level of tool management and effectively avoiding errors and inefficiencies that may result from manual recording.

[0019] By establishing a multi-dimensional, interconnected database system, intelligent matching and automatic optimization of machining plans and tool configurations were achieved. This method ensures the standardization and consistency of tool usage, significantly reducing production anomalies caused by the mixing of different tools. The dynamic life monitoring mechanism based on real-time machining data makes tool replacement more scientific and reasonable, which not only avoids excessive tool wear affecting machining quality, but also optimizes the utilization efficiency of tool resources and reduces production costs. By leveraging the value of historical data and continuously optimizing processing parameters, production efficiency and product quality stability have been significantly improved. Attached Figure Description

[0020] Figure 1 A flowchart illustrating the centralized control method for machine tool processing tools provided in this application embodiment; Figure 2 A functional block diagram of a centralized control system for machine tool processing tools provided in the embodiments of this application; Figure 3 This is a modular architecture diagram of a centralized control system for machine tool processing tools provided in an embodiment of this application. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0022] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0023] In the description of the embodiments in this application, terms such as "exemplary," "for example," or "for instance" are used as examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a specific manner.

[0024] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0025] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0026] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0027] Firstly, such as Figure 1 As shown, this application provides a method for centralized control of machine tool cutting tools, including the following steps: Step S1: Acquire the measurement data of the tool and write the measurement data to the tool's electronic tag; Step S2: Based on the tool initialization data, create a central management system database that includes a central tool magazine data table, a product tool scheme table, a machine tool magazine tool arrangement table, a machine tool list table, and a tool history table; Step S3: Based on the workpiece model, retrieve the corresponding tool scheme from the central management system database, obtain the tool table of the current machine tool tool magazine, calculate the tool change requirements for each tool position, and perform the tool change operation according to the tool change requirements of each tool position. After the tool change, update the data in the central management system database. Step S4: Based on the current workpiece type, cutting time, and processing quantity, obtain the estimated remaining life of the current machining tool and update its electronic tag. When the remaining life reaches the life threshold, send a tool update reminder message.

[0028] This application achieves precise tracking and intelligent control of the entire tool lifecycle through the collaborative management of electronic tags and a central database, improving the automation level of tool management and effectively avoiding errors and inefficiencies that may be caused by manual recording. By establishing a multi-dimensional, interconnected database system, intelligent matching and automatic optimization of machining plans and tool configurations were achieved. This method ensures the standardization and consistency of tool usage, significantly reducing production anomalies caused by the mixing of different tools. The dynamic life monitoring mechanism based on real-time machining data makes tool replacement more scientific and reasonable, which not only avoids excessive tool wear affecting machining quality, but also optimizes the utilization efficiency of tool resources and reduces production costs. By leveraging the value of historical data and continuously optimizing processing parameters, production efficiency and product quality stability have been significantly improved.

[0029] In one embodiment, step S1: acquiring the measurement data of the cutting tool and writing the measurement data to the electronic tag of the cutting tool, specifically includes the following steps: The tool information initialization operation is performed, specifically as follows: Step S11: Obtain measurement data of the new tool, including length, diameter and cutting edge angle data; specifically, place the new tool on the tool pre-adjustment device and measure its geometric parameters (such as length, diameter, cutting edge angle, etc.). Step S12: Write the measurement results and tool information (such as unique identifier, model, and expected life) to the tool's electronic tag. Transfer the tool... After the tool information initialization operation is performed, the tools are stored in the central tool magazine and re-registered in the central management system.

[0030] Based on steps S11 and S12, the tool geometry parameters are accurately measured by the pre-adjustment instrument and written into the electronic tag, realizing the automated acquisition and digital storage of tool basic data. This effectively solves the problems of low efficiency and error-proneness of traditional manual measurement, and provides an accurate data foundation for subsequent intelligent management and control.

[0031] In one embodiment, step S2: creating a central management system database containing a central tool magazine data table, a product tool scheme table, a machine tool magazine tool arrangement table, a machine tool list table, and a tool history table based on the tool initialization data, specifically includes the following steps: Step S21: Synchronize the unique identifier, model, geometric parameters and expected life information of all tools in the central tool magazine, record the current storage level and tag number of each tool, and generate the central tool magazine data table; Step S22: Map the product model to the tooling scheme one by one, establish the mapping relationship between the product model and the required tooling scheme, define the tool type, quantity and process parameters corresponding to each product during processing, and form a product tooling scheme table; Step S23: Configure a fixed tool position tool arrangement scheme for each machine tool, and assign the tools corresponding to the products that can be processed to the designated tool positions in the machine tool tool magazine according to their type; specifically, arrange the tools corresponding to all products that can be processed by the machine tool on the machine tool tool magazine, assign one tool position in the tool magazine for one type of tool, and generate a machine tool magazine tool arrangement table; Step S24: Collect the unique identifier, model and actual tool compensation data of each tool position in the current tool magazine of each machine tool, and dynamically maintain the machine tool list table; Step S25: Using the unique tool identifier as an index, record the usage history data of each tool and construct a tool history table, such as the previous measurement data, the machine tool object, and the machining object.

[0032] This application achieves systematic management and precise control of the entire tool lifecycle by constructing a central management system database. The central tool magazine data table uniformly archives basic tool information and storage locations, providing core data support for tool scheduling; the product tool plan table establishes a standardized mapping relationship between products and tools, ensuring the standardization and traceability of machining processes. The machine tool magazine tool arrangement table optimizes machine tool changing efficiency and reduces the risk of human error by predefined, fixed matching of tool types and tool positions. The dynamically maintained machine tool inventory table reflects the actual configuration status of each machine tool in real time, providing an accurate basis for production scheduling. The tool history table fully records the machining trajectory and status evolution of the tools, supporting tool performance degradation analysis and providing a data foundation for tool maintenance and life prediction. The entire database architecture significantly improves tool resource utilization, machining process stability, and the level of precision in production management through multi-dimensional data linkage.

[0033] In one embodiment, step S3: Based on the workpiece model, retrieve the corresponding tool scheme from the central management system database, obtain the tool table of the current machine tool tool magazine, calculate the tool change requirements for each tool position, and perform the tool change operation according to the tool change requirements for each tool position. After the tool change, update the data in the central management system database. Specifically, this includes the following steps: Step S31: Retrieve the corresponding tool configuration scheme from the central management system database based on the workpiece model, obtain the tool list of the current machine tool magazine, and compare the tool configuration scheme with the machine tool magazine list to determine the tool replacement requirements for each tool position. Further, when determining the tool replacement requirements for each tool position, the central management system first retrieves the standard tool configuration scheme corresponding to the workpiece model from the database to clarify the type and quantity of tools required to complete the workpiece machining. Then, the system obtains the actual tool list of the current machine tool magazine and compares the two item by item. For each tool position, the system checks whether the currently stored tool is consistent with the standard configuration scheme requirements. If they are inconsistent, the tool position is marked as needing replacement. More specifically, if the current tool model of a tool position does not match the standard configuration, or the current tool life has expired, the system will generate a replacement command. If the tool position is currently empty but the standard configuration requires a tool, a tool replenishment command is generated. If the tool position currently has a tool but the standard configuration does not require it, a tool removal command is generated. The system will comprehensively consider factors such as tool model compatibility, life status, and machining priority, and finally generate a replacement requirement list containing all tool positions that need to be changed and their corresponding new tool information. This list will clearly indicate the specific operation content (keep, replace, replenish, or remove) for each tool position, providing precise guidance for the subsequent automated tool change process. Step S32: Based on the tool change requirements for each tool position, retrieve the required tools one by one, verify their information, execute the tool change operation, and synchronously update the tool data of the replaced tools. Specifically, during the tool change operation, the system will retrieve the corresponding tools from the central tool magazine sequentially according to the pre-calculated tool change requirements for each tool position. Each tool needs to be scanned and confirmed by a tag reader upon retrieval to ensure that the tool information completely matches the requirement list. After confirmation, the tool is temporarily stored on a buffer tray, and the status information of the tool being retrieved is fed back to the central management system. After all required tools have been verified and retrieved, the tool retrieval / placement device transports these tools in batches to the target machine tool. At the machine tool end, the operator or automated equipment first unloads the old tools that need to be replaced from the machine tool tool magazine one by one, and confirms the identity of the old tools through the tag reader on the machine tool. Subsequently, the verified new tools are loaded into the machine tool tool magazine sequentially according to the predetermined tool position number. After each tool change operation at a tool position, the central management system immediately sends key information such as the geometric parameters and tool compensation data of the new tool to the machine tool's CNC system, updating the machine tool's tool list in real time. Simultaneously, the replaced old tool is sent to a tool presetter for geometric parameter measurement, updating its wear status and remaining life data, and finally stored back in the central tool magazine, updating the inventory information. This entire tool change process achieves closed-loop management of tool data, ensuring the real-time nature and accuracy of tool information.

[0034] Step S33: Perform parameter measurements on the replaced original tool, calculate the remaining tool life based on the measurement results, update the tool information, re-store the original tool, and record its status. Specifically, when measuring the parameters of the replaced original tool, firstly, accurately measure the tool's geometric parameters (such as length, diameter, cutting edge angle, etc.) using a tool pre-adjustment device, and upload the measurement results to the central management system. The central management system re-estimates the remaining tool life based on the current workpiece type, cutting time, and processing quantity, combined with the measurement data. Subsequently, the system writes the updated life information into the tool's electronic tag using a tag reader / writer, while simultaneously recording the tool's wear condition and current status. If the tool's remaining life still meets the usage requirements, it is re-stored in the designated location of the central tool magazine, and its storage level and tag number information are updated in the central management system. If the tool's life is close to or has reached a preset threshold, the system automatically marks it as awaiting replacement or unusable, and recommends alternative tool solutions. After all operations are completed, the central management system synchronously updates the tool history data table, recording the measurement results, remaining life, and storage status, providing data support for subsequent tool scheduling and quality analysis. Step S34: Synchronously update the latest status and location information of all tools after replacement in the central management system database. Specifically, after the tool replacement operation is completed, the central management system needs to synchronize and update the tool status of the entire system in real time. The system first automatically corrects the inventory ledger of the central tool magazine based on the tool flow record fed back by the tool pick-up / placement device, accurately recording the current level and position number information of each tool. For tools newly loaded into the machine tool magazine, the system will mark their status as "in use" and associate them with the corresponding machine tool number, tool position number, and current machining task information; at the same time, the status of the old tool to be replaced will be changed to "pending inspection", and the last measurement data before it is returned to the central tool magazine will be recorded. The system will also update the tool life database, adding the wear generated in this machining to the tool historical usage data and recalculating the remaining life value. All change information will be refreshed in real time through the visual interface to ensure that the data such as the central tool magazine 3D inventory model, machine tool list, and tool history file remain synchronized and consistent. In addition, the system automatically generates tool change logs, which record detailed traceability information such as tool change time, operator, and tool serial number, providing a complete data chain for subsequent quality analysis.

[0035] In one embodiment, step S4: Based on the current workpiece type, cutting time, and processing quantity, obtain the estimated remaining life of the current machining tool and update its electronic tag. When the remaining life reaches the life threshold, send a tool update reminder message. This specifically includes the following steps: Step S41: Match the preset tool wear coefficient according to the current workpiece type and calculate the cumulative wear amount based on the real-time collected cutting time. Specifically, matching the preset tool wear coefficient according to the current workpiece type and calculating the cumulative wear amount based on the real-time collected cutting time includes: accessing the product process database through the central management system to obtain the current workpiece material characteristics, processing procedure characteristics, and historical processing data, and extracting the standard wear coefficient curve of the corresponding tool; monitoring the spindle load, vibration signal, and cutting temperature in real time during processing and dynamically correcting the theoretical wear coefficient; establishing a mapping relationship between the actual wear amount and the theoretical calculated value based on the difference between the initial geometric parameters recorded by the tool electronic tag and the current parameters measured by the in-machine tool setter; accumulating the cutting time in segments according to the processing stage, multiplying each segment by the dynamic wear coefficient of the corresponding stage, and finally generating a cumulative wear amount model that considers material characteristics, working parameters, and actual wear state. Step S42: Real-time comparison of cumulative wear with tool life threshold, generating remaining life data and writing it to the electronic tag; Specifically, during real-time comparison of cumulative wear with tool life threshold, the system collects the cutting parameters of the currently machined workpiece (such as feed rate, spindle speed, and depth of cut) and machining time, and dynamically calculates the actual wear increment by combining it with a preset tool wear coefficient model. The newly added wear is then superimposed with the historical cumulative value and compared with the life threshold stored in the electronic tag to generate a remaining life percentage value. This value is updated in real-time to the life information field of the tool electronic tag via a tag reader, and simultaneously synchronized to the tool history table in the central management system. When the remaining life is lower than a preset warning threshold (e.g., 20%), the system triggers a warning flag while updating the tag data, providing real-time data for subsequent replacement decisions. During the comparison process, the system verifies the rationality of the wear data. If an abnormal change is detected (e.g., a single wear amount exceeding 150% of the theoretical value), a manual review process is initiated and the automatic update mechanism is frozen.

[0036] Step S43: When the remaining tool life is lower than the lifespan threshold, an early warning signal is triggered, generating a replacement notification containing the tool identifier and a recommended alternative tool model. Specifically, when the remaining tool life is lower than a preset threshold, the system automatically triggers the early warning mechanism. The central management system identifies the unique tool identifier through an electronic tag and retrieves the tool's model specifications, historical usage data, and current machining task information from the database. The system matches the tool model with the central tool magazine inventory information, prioritizing the recommendation of spare tools of the same model; if no inventory is available, it recommends alternative models based on the similarity of tool parameters, while also considering the accuracy requirements of the currently machined workpiece. The replacement notification is displayed in real time through the human-machine interface and pushed to relevant equipment terminals. The notification content includes tool location information, remaining lifespan percentage, and a comparison of the technical parameters of the recommended alternative. For tools used in critical processes, the system will simultaneously trigger the production scheduling module, prompting process personnel to verify the applicability of the alternative tool. The early warning information is also written to the tool history record table, providing a basis for subsequent quality traceability.

[0037] Based on steps S41-S43, by monitoring tool wear in real time and dynamically updating remaining tool life information, this system can effectively avoid machining quality degradation or equipment damage caused by excessive tool wear. The comprehensive tool life estimation method based on workpiece type, cutting time, and machining quantity improves the accuracy of tool condition determination, ensuring tool replacement at the optimal time and reducing unplanned downtime. The automated tool life warning mechanism can plan tool replacement in advance, optimize production scheduling, and avoid increased scrap rates due to tool failure. The real-time updating function of the electronic tag ensures the synchronization and traceability of tool status information, providing a reliable basis for tool management and maintenance decisions.

[0038] In one embodiment, after step S4—which involves obtaining an estimate of the remaining life of the current machining tool based on the current workpiece type, cutting time, and machining quantity, and updating its electronic tag, and sending a tool update reminder when the remaining life reaches a life threshold—the following steps are also included: Step S5: By collecting tool usage data and analyzing its wear trend, the system generates tool life prediction, cutting parameter optimization suggestions, and performance comparisons of various tool brands, and presents the analysis results visually. Based on historical tool usage data, the system establishes a tool life prediction model by analyzing the correlation between tool wear and machining time, cutting parameters, and workpiece material. Machine learning algorithms are used to perform pattern recognition on real-time monitoring data such as cutting force, vibration frequency, and temperature, dynamically correcting the remaining tool life prediction value. For different workpiece types and machining stages, the system automatically generates optimization suggestions for parameters such as cutting speed, feed rate, and depth of cut to extend tool life while ensuring machining accuracy. Simultaneously, the system conducts a horizontal comparative analysis of the life distribution, wear curves, and failure rates of different brands of tools of the same type, generating a brand performance evaluation matrix based on cost factors. All analysis results are displayed through dynamic charts, including tool life decay curves, parameter optimization heatmaps, and brand comparison radar charts.

[0039] In one embodiment, step S5: by collecting tool usage data and analyzing its wear trend, generating analysis results including tool life prediction, cutting parameter optimization suggestions, and performance comparison of tools from various brands, and visualizing the analysis results, specifically includes the following steps: Step S51: Collect real-time operating data during tool use, and simultaneously monitor the changing trends of tool geometric parameters, recording cumulative wear and historical wear trend data. Specifically, the real-time operating data collected during tool use includes cutting force, vibration frequency, temperature change, machining time, and workpiece surface quality parameters, which are synchronously acquired through the in-machine tool setting device and the machine tool's built-in sensors. Monitoring the changing trends of tool geometric parameters is achieved through periodic tool setting measurements, recording the cutting edge wear width, flank wear band, change in tool tip radius, and coating peeling area. The cumulative wear is calculated by the central management system based on historical measurement data, and is associated with the type of workpiece being machined, material hardness, and cutting parameters. Historical wear trend data is generated by fitting the wear rate curves at each measurement time point, distinguishing the different wear patterns between roughing and finishing stages. Step S52: Based on historical wear trend data, combined with current machining parameters and cumulative wear, a dynamic tool life prediction model is established to obtain tool life prediction results. An early warning signal is triggered when the predicted lifespan approaches the safety threshold. Specifically, the central management system collects tool wear data at different machining stages to establish a correlation between wear, machining time, and cutting parameters. The system statistically analyzes the historical machining records of each tool, extracting wear rate curves for different workpiece types and cutting parameters. During tool use, the system monitors the current workpiece type, cutting parameters (such as cutting speed, feed rate, and depth of cut), and actual machining time in real time. Combined with the tool's historical wear rate curve, the theoretical wear increment under the current machining conditions is calculated. The system accumulates the wear increment of each machining operation and compares it with a preset safe wear threshold to dynamically update the predicted remaining tool life. When the cumulative wear approaches the safety threshold, the system automatically generates an early warning signal to remind the operator to prepare for tool replacement. Simultaneously, the system dynamically adjusts the cutting parameters of subsequent machining tasks based on the current tool wear status and remaining lifespan, extending tool lifespan while ensuring machining quality. Step S53: Obtain the correlation between tool wear rate and machining efficiency under different combinations of cutting parameters. Use data fitting and optimization algorithms to screen the optimal balance point between wear rate and machining efficiency, generating optimization adjustment suggestions for cutting speed, feed rate, and depth of cut. Specifically, establish a multi-parameter correlation model based on cutting parameter records (such as cutting speed, feed rate, and depth of cut) and corresponding tool wear and machining time indicators from historical tool data. Fit the functional relationship between wear rate and cutting parameters using the least squares method, and simultaneously construct a response surface model of machining efficiency and cutting parameters. Use a multi-objective optimization algorithm (such as NSGA-II) to solve for the Pareto front of minimizing wear rate and maximizing machining efficiency. After extracting the non-dominated solution set, screen the optimal balance point based on process constraints. Finally, output the recommended cutting parameter combinations for each process, including spindle speed correction values, feed per tooth adjustment range, and suggested axial / radial depth of cut values. Step S54: Collect data on the service life, wear trend curves, and failure rates of different brands of cutting tools for the same workpiece type. Establish a multi-dimensional brand performance scoring system to comprehensively evaluate cost-effectiveness and output performance comparison results for each brand of cutting tools. Specifically, collect service life data for different brands of cutting tools for the same workpiece type, including average service life, service life distribution range, and standard deviation. Analyze the wear trend curves of each brand of cutting tools under different machining parameters and record the changes in characteristic parameters at key wear stages. Collect failure rate data for each brand of cutting tools in actual machining, distinguish failure types, and count their frequency. Based on the above data, establish a multi-dimensional brand performance scoring system, setting evaluation indicators such as service life weight, wear stability coefficient, and failure risk coefficient. Use a weighted algorithm to calculate the comprehensive performance score. Combine economic factors such as the purchase cost and maintenance cost of each brand of cutting tools to construct a cost-effectiveness evaluation model and derive optimal selection recommendations through cost-performance ratio analysis. The final output includes an analysis report containing a brand performance comparison radar chart, a cost-effectiveness ranking table, and selection recommendations. Step S55: Visualize the tool life prediction results, optimization suggestions, and performance comparison results of various tool brands. Specifically, a dashboard dynamically displays the remaining tool life percentage, with color gradient bars visually indicating the degree of wear. A line graph shows the historical wear trend curve, overlaid with the predicted life reference line for comparison. Cutting parameter optimization suggestions are presented using a 3D surface plot to show the relationship between wear rate and machining efficiency under different parameter combinations, marking the optimal parameter range. Brand performance comparison uses a radar chart to show the score distribution of each brand in dimensions such as life, stability, and cost-effectiveness, supplemented by a bar chart to show the average life comparison under the same working conditions. All visualization elements support interactive operation, allowing users to click to view detailed data or switch between different analysis perspectives.

[0040] Based on steps S51-S55, by monitoring the tool wear status in real time and combining it with historical data analysis, the system can dynamically predict the remaining tool life and proactively push replacement suggestions. At the same time, it automatically generates cutting parameter optimization schemes based on multi-dimensional data cross-comparison, intuitively displaying the performance difference curves of different brands of tools, providing intelligent data support for process improvement and procurement decisions, and significantly improving the scientific nature and foresight of tool management.

[0041] In one embodiment, the centralized control method for machine tool processing tools provided in this application specifically includes the following steps: Step 100: Initialize N tools and store them in the central tool magazine, recording the tool number, level, and tag number; Step 101: Initialize the central management system database.

[0042] Steps 200 and 201: The production unit or equipment receives the processing task, and the central management system retrieves the tooling scheme corresponding to the current product from the database according to the workpiece model.

[0043] Step 202: The central management system obtains the tool list of the current machine tool tool magazine.

[0044] Steps 203 and 204: The central management system calculates whether each tool position in the machine tool magazine needs to be replaced based on the current tool list of the machine tool magazine and the tool plan of the new product. The results are printed out in the form of a list for personnel to check.

[0045] Step 205: The central management system converts the replacement requirement list into the hierarchy and tag number of the central tool magazine and sends it to the central tool magazine.

[0046] Step 206: The central tool magazine retrieves the required tools from the demand list and moves them to the tool retrieval exit.

[0047] Step 207: The tool pick-up / placement device scans the tool code for confirmation, removes the tool and places it on the tool buffer tray, and sends a confirmation to the central tool magazine that the tool has been removed.

[0048] Repeat steps 206 and 207 until all the required tools on the list have been removed.

[0049] Step 209: The tool pick-up / placement device delivers the tool to the machine tool.

[0050] Step 210: The tool take-up / put-down device unloads and removes the old tool from the machine tool tool magazine, confirms the tool through the machine tool tag reader, and then scans the code of the new tool to confirm before loading it into the machine tool tool magazine.

[0051] Step 211: After the tool change is completed in the machine tool's tool magazine, the central processing unit sends the new tool data (tool position number, tool length, radius) to the machine tool's CNC, and the machine tool refreshes the tool list.

[0052] Step 212: The tool pick-up / placement device delivers the old tool to the tool pre-setting device. The tool pre-setting device measures the tool data in sequence and transmits the data to the central management system. The central management system updates the data of the tool.

[0053] Step 213: The tool pick-up / placement device returns the tool to the central tool magazine and updates the tool magazine data in the central tool magazine.

[0054] Secondly, such as Figure 2As shown, this application provides a centralized control system for machine tool processing tools, including a parameter measurement and data writing module 100, a database initialization module 200, a tool changing and database update module 300, and an electronic tag update and tool change reminder module 400. The parameter measurement and data writing module 100 is used to acquire tool measurement data and write the measurement data to the tool's electronic tag. The database initialization module 200 is used to create a central management system database based on the tool initialization data, including a central tool magazine data table, a product tool scheme table, a machine tool magazine tool arrangement table, a machine tool list table, and a tool history table. The tool changing and database update module 300 is integrated with the database initialization module 200. The 00 communication connection is used to retrieve the corresponding tool scheme from the central management system database according to the workpiece model, obtain the tool table of the current machine tool tool magazine, calculate the tool change requirements of each tool position, and execute the tool change operation according to the tool change requirements of each tool position. After the tool change, the data in the central management system database is updated. The electronic tag update and tool change reminder module 400 is communicatively connected to the parameter measurement and data writing module 100 and the tool change and database update module 300. It is used to obtain the estimated result of the remaining life of the current machining tool based on the current workpiece type, cutting time and machining quantity, and update its electronic tag. When the remaining life reaches the life threshold, a tool update reminder message is sent.

[0055] In one embodiment, such as Figure 3 As shown, the centralized control system for machine tool processing provided in this application adopts a modular architecture design and realizes intelligent control of the entire process through a central management system. The system hardware consists of multiple open-type CNC machine tools, a central tool magazine, a tool pre-setting device, and a tool pick-and-place device forming a closed loop: the CNC machine tools are equipped with multi-directional tool positions and NC storage functions, the central tool magazine has a multi-tool position storage area and integrates a tool pre-setting module (including detection units such as length measurement, diameter detection, and cutting edge angle analysis), and the tool pick-and-place device realizes automatic tool handover and positioning through a standardized interface.

[0056] The central management system serves as the core hub, constructing a multi-dimensional data management platform. The system database includes structured data tables such as a central tool magazine data table (recording tool identification information and storage location), a machine tool tool magazine configuration table (storing the tool position mapping relationship for each machine tool), a tool history data table (tracking full lifecycle data), and a process tool data table (associated with machining parameters). Real-time interaction through a data pool enables core functions such as tool status monitoring, lifespan prediction, and intelligent prompts.

[0057] The modules collaborate efficiently through standardized data interfaces. The system dynamically interacts via data flow as indicated by arrows: the tool pre-adjuster uploads geometric parameters to the central database, the tool pick-and-place device receives system commands to execute tool scheduling, and the CNC machine tool provides real-time feedback on tool usage data. This architecture ensures precise allocation of tool resources and provides decision support for process optimization through statistical analysis modules, forming an intelligent management system integrating storage, detection, scheduling, and monitoring.

[0058] In one embodiment, the tool changing and database update module includes a tool changing requirement acquisition unit, a tool changing execution unit, an original tool information update unit, and a database update unit. The tool changing requirement acquisition unit retrieves the corresponding tool configuration scheme from the central management system database according to the workpiece model, obtains the tool list of the current machine tool magazine, compares the tool configuration scheme with the machine tool magazine list, and determines the tool replacement requirement for each tool position. The tool changing execution unit, which is communicatively connected to the tool changing requirement acquisition unit, retrieves the required tools one by one according to the tool replacement requirement for each tool position, verifies their information, executes the tool replacement operation, and synchronously updates the tool data. The original tool information update unit, which is communicatively connected to the tool changing execution unit, measures the parameters of the replaced original tool, calculates the remaining life based on the measurement results, updates the tool information, restores the original tool, and records its status. The database update unit, which is communicatively connected to the tool changing execution unit and the original tool information update unit, synchronously updates the latest status and location information of all tools after replacement in the central management system database.

[0059] The functions of each module in the above-mentioned centralized control system for machine tool processing tools correspond to the steps in the above-mentioned embodiment of the centralized control method for machine tool processing tools. Their functions and implementation processes will not be described in detail here.

[0060] Thirdly, embodiments of this application provide a centralized control device for machine tool processing tools. The centralized control device for machine tool processing tools can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0061] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting components within the centralized control equipment for machine tool processing tools, as well as interfaces used for interconnecting the centralized control equipment for machine tool processing tools with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0062] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0063] The processor can be a general-purpose processor, which can call the centralized control program for machine tool processing stored in memory and execute the centralized control method for machine tool processing provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the centralized control program for machine tool processing is called can be referred to in the various embodiments of the centralized control method for machine tool processing of this application, and will not be repeated here.

[0064] Fourthly, embodiments of this application also provide a readable storage medium.

[0065] This application stores a centralized control program for machine tool processing on a readable storage medium, wherein when the centralized control program for machine tool processing is executed by a processor, it implements the steps of the centralized control method for machine tool processing as described above.

[0066] The method implemented when the centralized control program for machine tool processing is executed can be referred to in the various embodiments of the centralized control method for machine tool processing of this application, and will not be repeated here.

[0067] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0068] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0069] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for centralized control of machine tool cutting tools, characterized in that, Includes the following steps: Acquire the measurement data of the cutting tool and write the measurement data to the electronic tag of the cutting tool; Based on the tool initialization data, create a central management system database that includes a central tool magazine data table, a product tool scheme table, a machine tool tool magazine arrangement table, a machine tool list table, and a tool history table; Based on the workpiece model, the corresponding tool scheme is retrieved from the central management system database, the tool table of the current machine tool tool magazine is obtained, the tool change requirements of each tool position are calculated, and the tool change operation is executed according to the tool change requirements of each tool position. After the tool change, the data in the central management system database is updated. Based on the current workpiece type, cutting time, and processing quantity, obtain the estimated remaining life of the current processing tool and update its electronic tag. When the remaining life reaches the life threshold, send a tool update reminder message. The process of obtaining an estimate of the remaining life of the current machining tool based on the current workpiece type, cutting time, and machining quantity, updating its electronic tag, and sending a tool update reminder when the remaining life reaches a life threshold, further includes the following steps: By collecting tool usage data and analyzing its wear trend, the system generates analysis results including tool life prediction, cutting parameter optimization suggestions, and performance comparisons of tools from various brands, and presents the analysis results in a visual format. The process involves collecting tool usage data, analyzing its wear trends, generating tool life predictions, cutting parameter optimization suggestions, and performance comparisons of various tool brands, and visualizing the analysis results. Specifically, this includes the following steps: Collect real-time operating data during tool use, monitor the changing trends of tool geometry parameters, and record cumulative wear and historical wear trend data; Based on historical wear trend data, combined with current machining parameters and cumulative wear, a dynamic tool life prediction model is established to obtain tool life prediction results and trigger an early warning signal when the life prediction results approach the safety threshold. The correlation between tool wear rate and machining efficiency under different combinations of cutting parameters is obtained. The optimal balance point between wear rate and machining efficiency is screened through data fitting and optimization algorithms, and optimization adjustment suggestions for cutting speed, feed rate and depth of cut are generated. By statistically analyzing the service life, wear trend curves, and failure rate data of different brands of cutting tools for the same workpiece type, a multi-dimensional brand performance scoring system is established to comprehensively evaluate the cost-effectiveness and output the performance comparison results of cutting tools from various brands. The tool life prediction results, optimization and adjustment suggestions, and performance comparison results of tools from various brands are presented in a visual manner.

2. The centralized control method for machine tool processing cutting tools as described in claim 1, characterized in that, The process of acquiring the measurement data of the cutting tool and writing the measurement data to the electronic tag of the cutting tool specifically includes the following steps: Acquire measurement data for the new cutting tool, including length, diameter, and cutting edge angle data; Write measurement results and tool information to an electronic tag on the tool.

3. The centralized control method for machine tool processing cutting tools as described in claim 1, characterized in that, The process of creating a central management system database based on tool initialization data, including a central tool magazine data table, a product tool plan table, a machine tool tool magazine scheduling table, a machine tool list table, and a tool history table, specifically includes the following steps: Synchronize the unique identifier, model, geometric parameters and expected life information of all tools in the central tool magazine, record the current storage level and tag number of each tool, and generate a central tool magazine data table; Establish a mapping relationship between product models and required tooling schemes, define the tooling type, quantity, and process parameters corresponding to each product during processing, and form a product tooling scheme table; Configure a fixed tool position tooling scheme for each machine tool, assign the corresponding tools for the products to be machined to the designated tool positions in the machine tool magazine according to their type, and generate a machine tool magazine tooling schedule; Collect the unique identifier, model, and actual tool compensation data of each tool position in the current tool magazine of each machine tool, and dynamically maintain the machine tool list table; Using the unique identifier of each tool as an index, record the usage history data of each tool to build a tool history table.

4. The centralized control method for machine tool processing cutting tools as described in claim 1, characterized in that, The process of retrieving the corresponding tooling scheme from the central management system database based on the workpiece model, obtaining the tool table of the current machine tool tool magazine, calculating the tool change requirements for each tool position, performing the tool change operation according to the tool change requirements for each tool position, and updating the data in the central management system database after the tool change, specifically includes the following steps: Based on the workpiece model, retrieve the corresponding tool configuration scheme from the central management system database, obtain the current tool list of the machine tool magazine, compare the tool configuration scheme with the machine tool magazine list, and determine the tool change requirements for each tool position. According to the tool change requirements of each tool position, retrieve the required tools one by one and verify their information, execute the tool change operation, and update the tool data of the changed tools synchronously. The parameters of the replaced original tool are measured, the remaining life is calculated based on the measurement results and the tool information is updated. The original tool is then stored again and its status is recorded. The latest status and location information of all tools after replacement are synchronously updated in the central management system database.

5. The centralized control method for machine tool processing cutting tools as described in claim 1, characterized in that, The process involves obtaining an estimate of the remaining lifespan of the current machining tool based on the current workpiece type, cutting time, and machining quantity, updating its electronic tag, and sending a tool update reminder when the remaining lifespan reaches a lifespan threshold. This process specifically includes the following steps: The preset tool wear coefficient is matched according to the current workpiece type, and the cumulative wear is calculated in combination with the real-time collected cutting time. The cumulative wear is compared with the tool life threshold in real time to generate remaining life data and write it into an electronic tag. When the remaining tool life is below the tool life threshold, an early warning signal is triggered, generating a replacement notification that includes the tool identifier and a recommended replacement tool model.

6. A centralized control system for machine tool processing cutting tools, characterized in that, include: The parameter measurement and data writing module is used to acquire the measurement data of the tool and write the measurement data to the tool's electronic tag; The database initialization module is used to create a central management system database based on tool initialization data, which includes a central tool magazine data table, a product tool scheme table, a machine tool tool magazine tool arrangement table, a machine tool list table, and a tool history table. The tool changing and database update module is communicatively connected to the database initialization module. It is used to retrieve the corresponding tool scheme from the central management system database according to the model of the workpiece being processed, obtain the tool table of the current machine tool tool magazine, calculate the tool changing requirements of each tool position, and perform the tool changing operation according to the tool changing requirements of each tool position. After the tool changing, it updates the data in the central management system database. The electronic tag update and tool change reminder module is communicatively connected to the parameter measurement and data writing module and the tool change and database update module. It is used to obtain the estimated result of the remaining life of the current machining tool based on the current workpiece type, cutting time and machining quantity and update its electronic tag. When the remaining life reaches the life threshold, it sends a tool update reminder message. The process of obtaining an estimate of the remaining life of the current machining tool based on the current workpiece type, cutting time, and machining quantity, updating its electronic tag, and sending a tool update reminder when the remaining life reaches a life threshold, further includes the following steps: By collecting tool usage data and analyzing its wear trend, the system generates analysis results including tool life prediction, cutting parameter optimization suggestions, and performance comparisons of tools from various brands, and presents the analysis results in a visual format. The process involves collecting tool usage data, analyzing its wear trends, generating tool life predictions, cutting parameter optimization suggestions, and performance comparisons of various tool brands, and visualizing the analysis results. Specifically, this includes the following steps: Collect real-time operating data during tool use, monitor the changing trends of tool geometry parameters, and record cumulative wear and historical wear trend data; Based on historical wear trend data, combined with current machining parameters and cumulative wear, a dynamic tool life prediction model is established to obtain tool life prediction results and trigger an early warning signal when the life prediction results approach the safety threshold. The correlation between tool wear rate and machining efficiency under different combinations of cutting parameters is obtained. The optimal balance point between wear rate and machining efficiency is screened through data fitting and optimization algorithms, and optimization adjustment suggestions for cutting speed, feed rate and depth of cut are generated. By statistically analyzing the service life, wear trend curves, and failure rate data of different brands of cutting tools for the same workpiece type, a multi-dimensional brand performance scoring system is established to comprehensively evaluate the cost-effectiveness and output the performance comparison results of cutting tools from various brands. The tool life prediction results, optimization and adjustment suggestions, and performance comparison results of tools from various brands are presented in a visual manner.

7. The centralized control system for machine tool processing cutting tools as described in claim 6, characterized in that, The tool changing and database update module includes: The tool change requirement acquisition unit is used to retrieve the corresponding tool configuration scheme from the central management system database according to the model of the workpiece being processed, obtain the tool list of the current machine tool tool magazine, compare the tool configuration scheme with the machine tool tool magazine list, and determine the tool change requirement for each tool position. The tool change execution unit is communicatively connected to the tool change requirement acquisition unit. It is used to retrieve the required tools one by one according to the tool change requirements of each tool position, verify their information, execute the tool change operation, and update the tool data synchronously. The original tool information update unit is communicatively connected to the tool change execution unit. It is used to measure the parameters of the replaced original tool, calculate the remaining life based on the measurement results, update the tool information, restore the original tool and record its status. The database update unit is communicatively connected to the tool change execution unit and the original tool information update unit, and is used to synchronously update the latest status and location information of all tools after the replacement is completed in the central management system database.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a centralized control program for machine tool processing tools, wherein when the centralized control program for machine tool processing tools is executed by a processor, it implements the steps of the centralized control method for machine tool processing tools as described in any one of claims 1 to 5.

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