Intelligent production scheduling method and system for non-standard part machining

Abstract

The invention relates to the technical field of intelligent machining, in particular to an intelligent production scheduling method and system for non-standard part machining. The scheme comprises the following steps: inputting future production plan data on line, and updating a current shipment plan; cutter information in the NC codes is collected in real time, and a specific cutter adjustment scheduling principle is set; updating a new production scheduling stage according to the two-dimensional code scanning information of the material; a cutting edge area is sprayed through a fluorescent preparation before the tools are delivered out of a warehouse, and the tools are arranged on line; obtaining current material distribution, and updating a current machine processing task; and carrying out online display and work distribution according to the production scheduling, the cutter distribution condition and the machining task. According to the scheme, the intelligent industrial production scheduling method is set, and reasonable production scheduling is arranged in a small-batch and multi-variety production mode.

Description

Technical Field

[0001] This invention relates to the field of intelligent manufacturing technology, and more specifically, to an intelligent scheduling method and system for processing non-standard parts. Background Technology

[0002] Order scheduling is a crucial factor in a company's production planning, significantly impacting its production efficiency. In recent years, industrial manufacturing companies have faced the challenge of continuously improving their management capabilities in areas such as new product / technology development, addressing labor shortages, increasing production efficiency, reducing operating costs, and promoting environmental sustainability.

[0003] Prior to this invention, traditional production scheduling was typically done manually by planners based on orders, relying on experience. This not only resulted in low efficiency but also risked omissions, errors, or unreasonable scheduling. Existing scheduling methods require cumbersome initial data setup, leading to a poor user experience, difficulty in understanding, and a high risk of errors and inaccurate calculations. They are primarily designed for general, large-volume production planning and are completely unsuitable for sheet metal industry production planning, failing to meet the characteristics of non-standard, small-batch, multi-variety, and rapidly changing production processes. Summary of the Invention

[0004] In view of the above problems, this invention proposes an intelligent scheduling method and system for processing non-standard parts, and sets up an intelligent industrial scheduling method to arrange reasonable production for small-batch, multi-variety production.

[0005] According to a first aspect of the present invention, an intelligent scheduling method for processing non-standard parts is provided.

[0006] In one or more embodiments, preferably, the intelligent scheduling method for processing non-standard parts includes: Enter future production plan data online and update the current shipment plan; Real-time acquisition of tool information from NC code; setting specific scheduling principles for tool adjustment. Update the production schedule to a new stage based on the QR code scanning information of the materials; The cutting edge area of ​​the tools is sprayed with a fluorescent agent before they are taken out of the warehouse, and the tool arrangement is set online. Get the current material allocation and update the current machine processing task; The system displays and assigns tasks online based on production schedules, tool allocation, and processing assignments.

[0007] In one or more embodiments, preferably, the online entry of future production plan data and updating of the current shipment plan specifically includes: Enter order data for future production models online; Extract the delivery time and quantity corresponding to each production model from the order data; The delivery time and quantity will be incorporated into the current shipping schedule.

[0008] In one or more embodiments, preferably, the real-time acquisition of tool information in the NC code and the setting of specific tool adjustment scheduling principles specifically include: Real-time acquisition of tool information from NC code to determine whether the current tool needs to be changed one hour into the future production schedule; When changes are required, the corresponding tool outlet needs to be set; otherwise, there is no need to set the tool outlet. This serves as the scheduling principle for tool adjustment.

[0009] In one or more embodiments, preferably, updating the production schedule based on the QR code scanning information of the material specifically includes: Use QR code scanning to quickly determine the updated material information; When the materials change, the current production scheduling period is considered to have changed, and the corresponding production scheduling stage is quickly updated.

[0010] In one or more embodiments, preferably, the spraying of the blade area with a fluorescent agent before the tools are removed from storage, and the online arrangement of the tools, specifically includes: Determine if there are enough tools in the current tool magazine; When there are insufficient cutting tools, obtain a pre-set alternative cutting tool; Before each tool leaves the warehouse, a fluorescent agent is sprayed onto the cutting edge area of ​​each tool. The proportion of fluorescent agent under damage conditions for each tool is learned in advance; The fluorescence ratio of the blade area is extracted at preset intervals using image acquisition methods. Determine whether the first calculation formula is met; if it is, it is considered that the tool needs to be replaced. If the tool to be replaced is a pre-set replaceable tool, then determine whether the second calculation formula is met. If it is, then tool replacement is initiated. When a new damaged tool appears, the tool replacement command is initiated directly, and the total number of damaged tools is updated using the third calculation formula. The first calculation formula is: ; Where A is the fluorescence ratio in the blade region, and B is... i Let be the fluorescence ratio of the cutting edge region of the i-th damaged tool, and n be the total number of damaged tools; The second calculation formula is: ; Where C is a pre-set replacement ratio coefficient for replaceable cutting tools; The third calculation formula is: n=n+1

[0011] In one or more embodiments, preferably, obtaining the current material allocation and updating the current machine processing task specifically includes: Obtain the current material allocation status and determine whether all machines need to operate at the moment; When not all machines need to be in operation, the machining tasks are allocated according to the number of tool changes, from smallest to largest.

[0012] In one or more embodiments, preferably, the online display and work allocation based on production scheduling, tool allocation, and processing tasks specifically includes: Real-time data collection of current production scheduling, tool allocation, and machining task assignments is displayed on an electronic screen. The corresponding staffing information is displayed directly on the electronic screen and assigned to the specific work position of each staff member.

[0013] According to a second aspect of the present invention, an intelligent scheduling system for processing non-standard parts is provided.

[0014] In one or more embodiments, preferably, the intelligent scheduling system for processing non-standard parts includes: The order planning module is used to enter future production plan data online and update the current shipping plan; The production scheduling comparison module is used to collect tool information in NC code in real time and set specific tool adjustment scheduling principles. The automatic scheduling module is used to update the production schedule for a new stage based on the QR code scanning information of the materials. The tool arrangement module is used to spray the cutting edge area of ​​the tool with a fluorescent agent before it leaves the warehouse, and to set the tool arrangement online; The material allocation module is used to obtain the current material allocation and update the current machine processing tasks; The digital display module is used to display and assign tasks online based on production scheduling, tool allocation, and processing tasks.

[0015] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0016] According to a fourth aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method described in any one aspect of the present invention.

[0017] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: The intelligent industrial scheduling method involved in this invention solves the problem that existing scheduling methods can only perform planning calculations based on large-scale production and are not applicable to the production planning and scheduling of small-batch, multi-variety sheet metal industries.

[0018] The solution involved in this invention is easy to operate, saves labor costs for enterprises, and has simple and time-saving steps.

[0019] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0020] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention.

[0023] Figure 2 This is a flowchart of an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention, which involves online input of future production plan data and updating of the current shipment plan.

[0024] Figure 3 This is a flowchart illustrating the real-time acquisition of tool information from NC code and the setting of specific tool adjustment scheduling principles in an intelligent scheduling method for non-standard parts processing according to an embodiment of the present invention.

[0025] Figure 4This is a flowchart illustrating the updating of a new production scheduling stage based on the QR code scanning information of the material in an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention.

[0026] Figure 5 This is a flowchart illustrating the intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention, which involves spraying the cutting edge area of ​​the cutting tool with a fluorescent agent before it leaves the warehouse and setting up the cutting tool arrangement online.

[0027] Figure 6 This is a flowchart illustrating the process of obtaining the current material allocation and updating the current machine processing task in an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention.

[0028] Figure 7 This is a flowchart illustrating the online display and work allocation based on production scheduling, tool allocation, and processing tasks in an intelligent scheduling method for non-standard parts processing according to an embodiment of the present invention.

[0029] Figure 8 This is a structural diagram of an intelligent scheduling system for processing non-standard parts according to an embodiment of the present invention.

[0030] Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Detailed Implementation

[0031] In some of the processes described in the specification, claims, and accompanying drawings of this invention, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] Order scheduling is a crucial factor in a company's production planning, significantly impacting its production efficiency. In recent years, industrial manufacturing companies have faced the challenge of continuously improving their management capabilities in areas such as new product / technology development, addressing labor shortages, increasing production efficiency, reducing operating costs, and promoting environmental sustainability.

[0034] Prior to this invention, traditional production scheduling was typically done manually by planners based on orders, relying on experience. This not only resulted in low efficiency but also risked omissions, errors, or unreasonable scheduling. Existing scheduling methods require cumbersome initial data setup, leading to a poor user experience, difficulty in understanding, and a high risk of errors and inaccurate calculations. They are primarily designed for general, large-volume production planning and are completely unsuitable for sheet metal industry production planning, failing to meet the characteristics of non-standard, small-batch, multi-variety, and rapidly changing production processes.

[0035] This invention provides an intelligent scheduling method and system for processing non-standard parts. The solution establishes an intelligent industrial scheduling method that rationally schedules production for small-batch, multi-variety production.

[0036] According to a first aspect of the present invention, an intelligent scheduling method for processing non-standard parts is provided.

[0037] Figure 1 This is a flowchart of an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention.

[0038] In one or more embodiments, preferably, the intelligent scheduling method for processing non-standard parts includes: S101. Enter future production plan data online and update the current shipment plan; S102. Real-time acquisition of tool information from NC code, and setting specific scheduling principles for tool adjustment; S103. Update the production schedule to a new stage based on the QR code scanning information of the materials; S104. Apply fluorescent coating to the cutting edge area of ​​the cutting tools before they leave the warehouse, and set up the tool arrangement online; S105. Obtain the current material allocation and update the current machine processing task; S106. Based on production scheduling, tool allocation, and processing tasks, online display and work assignment are performed.

[0039] In this embodiment of the invention, in a manufacturing enterprise, by utilizing production scheduling technology to handle the tasks received by the enterprise, and taking into account capacity and equipment, the delivery deadline for production is reasonably arranged to maximize delivery achievement rate, minimize inventory, balance workload, optimize equipment utilization, and minimize personnel idleness. A reasonable production schedule is designed, and specific production is arranged based on the production schedule. Therefore, how to reasonably schedule production, optimize capacity, improve production efficiency, and shorten production time is an important issue of concern to enterprises.

[0040] Figure 2 This is a flowchart of an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention, which involves online input of future production plan data and updating of the current shipment plan.

[0041] like Figure 2 As shown, in one or more embodiments, preferably, the online entry of future production plan data and updating of the current shipment plan specifically includes: S201. Enter order data for future production models online; S202. Extract the delivery time and delivery quantity corresponding to each production model in the order data; S203. Incorporate delivery time and quantity into the current shipping schedule.

[0042] In this embodiment of the invention, order data of the planned production model is obtained. This data is the original data that needs to be developed in the future. Based on this data, future production plans can be directly formulated, and specific arrangements need to be made according to the delivery time requirements in the order data.

[0043] Figure 3 This is a flowchart illustrating the real-time acquisition of tool information from NC code and the setting of specific tool adjustment scheduling principles in an intelligent scheduling method for non-standard parts processing according to an embodiment of the present invention.

[0044] like Figure 3 As shown, in one or more embodiments, preferably, the real-time acquisition of tool information in the NC code and the setting of specific tool adjustment scheduling principles specifically include: S301: Real-time acquisition of tool information in NC code to determine whether the current tool needs to be changed 1 hour into the future production schedule; S302. When changes are required, the corresponding tool exit needs to be set. Otherwise, there is no need to set the tool exit. This serves as the scheduling principle for tool adjustment.

[0045] In this embodiment of the invention, the production scheduling process is mainly adjusted automatically based on the current shipment plan. First, the tool information in the NC code needs to be compared with the machine tool. The NC code is the code that the digital information control mechanical controller can recognize. When the tool information in the NC code needs to be changed in the future production plan, the machine corresponding to the current work order is automatically retrieved. During the execution of the corresponding work order, the corresponding tool is retrieved in advance.

[0046] Figure 4 This is a flowchart illustrating the updating of a new production scheduling stage based on the QR code scanning information of the material in an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention.

[0047] like Figure 4 As shown, in one or more embodiments, preferably, updating the production schedule based on the QR code scanning information of the material specifically includes: S401. Quickly determine the updated material information using QR code scanning; S402. When the material changes, it is assumed that the current production scheduling period has changed, and the corresponding production scheduling stage is updated quickly.

[0048] In this embodiment of the invention, during the actual production scheduling process, it may not be possible to effectively determine whether the current moment has entered the next production scheduling plan. Therefore, it is necessary to use the scanning device to scan the QR code of the material online to determine whether a new production scheduling time period has been entered. When a new production scheduling time period has been entered, the corresponding cutting tools should be prepared quickly.

[0049] Figure 5 This is a flowchart illustrating the intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention, which involves spraying the cutting edge area of ​​the cutting tool with a fluorescent agent before it leaves the warehouse and setting up the cutting tool arrangement online.

[0050] like Figure 5 As shown, in one or more embodiments, preferably, the spraying of the blade area with a fluorescent agent before the tools are taken out of the warehouse, and the online arrangement of the tools, specifically includes: S501. Determine if there are enough tools in the current tool magazine; S502. When there are insufficient tools, obtain a pre-set alternative tool; S503. Before each tool leaves the warehouse, a fluorescent agent is sprayed onto the cutting edge area of ​​each tool. S504, Pre-learn the proportion of fluorescent agent under the damage conditions of each tool; S505. Extract the fluorescence ratio of the blade area at preset intervals using image acquisition; S506. Determine whether the first calculation formula is met. If it is, it is considered that the tool needs to be replaced. S507. If the tool to be replaced is a pre-set replaceable tool, determine whether the second calculation formula is satisfied. If it is satisfied, start the tool replacement. S508. When a new damaged tool appears, the tool replacement command is initiated directly, and the total number of damaged tools is updated using the third calculation formula. The first calculation formula is: ; Where A is the fluorescence ratio in the blade region, and B is... i Let be the fluorescence ratio of the cutting edge region of the i-th damaged tool, and n be the total number of damaged tools; The second calculation formula is: ; Where C is a pre-set replacement ratio coefficient for replaceable cutting tools; The third calculation formula is: n=n+1

[0051] In this embodiment of the invention, when executing a specific tool replacement command, the tools in the tool magazine may be completely redundant or not. In this case, it is necessary to replace the tool based on the similarity of the tools to make the entire production scheduling process as safe and controllable as possible. Before replacing the tool online, it is necessary to assess the usage level of the tool. This assessment process is mainly based on the reflectivity of the fluorescent agent sprayed on the tool before it leaves the magazine. This judgment process is actually obtained through learning. First, through training, all situations in which the tool is judged to be damaged or unusable are obtained manually. Second, based on the video monitoring of the corresponding fluorescent agent area when the tool is damaged, if the color development degree of the fluorescent agent exceeds a certain proportion of the total area of ​​the first preset range, it is considered that the current tool needs to be replaced.

[0052] Figure 6 This is a flowchart illustrating the process of obtaining the current material allocation and updating the current machine processing task in an intelligent scheduling method for processing non-standard parts according to an embodiment of the present invention.

[0053] like Figure 6 As shown, in one or more embodiments, preferably, obtaining the current material allocation and updating the current machine processing task specifically includes: S601. Obtain the current material allocation status and determine whether all machines need to work. S602. When not all machines need to be in operation, the machining tasks are allocated according to the number of tool changes from smallest to largest.

[0054] In this embodiment of the invention, when allocating materials, priority is given to allocating specific processing tasks to machine tools that require fewer tool changes.

[0055] Figure 7 This is a flowchart illustrating the online display and work allocation based on production scheduling, tool allocation, and processing tasks in an intelligent scheduling method for non-standard parts processing according to an embodiment of the present invention.

[0056] like Figure 7 As shown, in one or more embodiments, preferably, the online display and work allocation based on production scheduling, tool allocation, and processing tasks specifically includes: S701: Real-time collection of current production scheduling, tool allocation, and machining task assignment, and display on an electronic screen; S702. The corresponding staffing configuration is displayed directly on the electronic screen and assigned to the specific work position of each staff member.

[0057] In this embodiment of the invention, ...

[0058] According to a second aspect of the present invention, an intelligent scheduling system for processing non-standard parts is provided.

[0059] Figure 8 This is a structural diagram of an intelligent scheduling system for processing non-standard parts according to an embodiment of the present invention.

[0060] In one or more embodiments, preferably, the intelligent scheduling system for processing non-standard parts includes: The order planning module 801 is used to enter future production plan data online and update the current shipment plan; The production scheduling comparison module 802 is used to collect tool information in NC code in real time and set specific tool adjustment scheduling principles. The automatic scheduling module 803 is used to update the new scheduling stage based on the QR code scanning information of the materials; The tool arrangement module 804 is used to spray the cutting edge area of ​​the tool with a fluorescent agent before the tool leaves the warehouse, and to set the tool arrangement online; The material allocation module 805 is used to obtain the current material allocation and update the current machine processing task. The digital display module 806 is used for online display and work allocation based on production scheduling, tool allocation, and processing tasks.

[0061] In this embodiment of the invention, a system suitable for different structures is realized through a series of modular designs. This system can achieve closed-loop, reliable, and efficient execution through data acquisition, analysis, and control.

[0062] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0063] According to a fourth aspect of the present invention, an electronic device is provided. Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Figure 9 The electronic device shown is an intelligent scheduling device for processing general-purpose non-standard parts. For example... Figure 9 As shown, the electronic device 900 includes a central processing unit (CPU) 901, which can perform various appropriate actions and processes according to computer program instructions stored in read-only memory (ROM) 902 or loaded from storage unit 908 into random access memory (RAM) 903. The RAM 903 may also store various programs and data required for the operation of the electronic device 900. The CPU 901, ROM 902, and RAM 903 are interconnected via bus 904. An input / output (I / O) interface 905 is also connected to bus 904.

[0064] Multiple components in electronic device 900 are connected to I / O interface 905, including: input unit 906, output unit 907, and storage unit 908. Processing unit 901 executes the various methods and processes described above, such as the methods described in the first aspect of embodiments of the present invention. For example, in some embodiments, the methods described in the first aspect of embodiments of the present invention can be implemented as computer software programs stored in a machine-readable medium, such as storage unit 908. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 900 via ROM 902 and / or communication unit 909. When the computer program is loaded into RAM 903 and executed by CPU 901, one or more operations of the methods described in the first aspect of embodiments of the present invention can be performed. Alternatively, in other embodiments, CPU 901 can be configured to perform one or more operations of the methods described in the first aspect of embodiments of the present invention by any other suitable means (e.g., by means of firmware).

[0065] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: The intelligent industrial scheduling method involved in this invention solves the problem that existing scheduling methods can only perform planning calculations based on large-scale production and are not applicable to the production planning and scheduling of small-batch, multi-variety sheet metal industries.

[0066] The solution involved in this invention is easy to operate, saves labor costs for enterprises, and has simple and time-saving steps.

[0067] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0068] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0069] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0071] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An intelligent scheduling method for processing non-standard parts, characterized in that, The method includes: Enter future production plan data online and update the current shipment plan; Real-time acquisition of tool information from NC code; setting specific scheduling principles for tool adjustment. Update the production schedule to a new stage based on the QR code scanning information of the materials; The cutting edge area of ​​the tools is sprayed with a fluorescent agent before they are taken out of the warehouse, and the tool arrangement is set online. Get the current material allocation and update the current machine processing task; The system displays and assigns tasks online based on production schedules, tool allocation, and processing assignments.

2. The intelligent scheduling method for processing non-standard parts as described in claim 1, characterized in that, The online entry of future production plan data and updating of the current shipment plan specifically includes: Enter order data for future production models online; Extract the delivery time and quantity corresponding to each production model from the order data; The delivery time and quantity will be incorporated into the current shipping schedule.

3. The intelligent scheduling method for processing non-standard parts as described in claim 1, characterized in that, The real-time acquisition of tool information from NC code and the setting of specific tool adjustment scheduling principles include: Real-time acquisition of tool information from NC code to determine whether the current tool needs to be changed one hour into the future production schedule; When changes are required, the corresponding tool outlet needs to be set; otherwise, there is no need to set the tool outlet. This serves as the scheduling principle for tool adjustment.

4. The intelligent scheduling method for processing non-standard parts as described in claim 1, characterized in that, The update of the production scheduling stage based on the QR code scanning information of the materials specifically includes: Use QR code scanning to quickly determine the updated material information; When the materials change, the current production scheduling period is considered to have changed, and the corresponding production scheduling stage is quickly updated.

5. The intelligent scheduling method for processing non-standard parts as described in claim 1, characterized in that, The process of spraying the cutting edge area with a fluorescent agent before the tools are removed from storage, and setting up the tool arrangement online, specifically includes: Determine if there are enough tools in the current tool magazine; When there are insufficient cutting tools, obtain a pre-set alternative cutting tool; Before each tool leaves the warehouse, a fluorescent agent is sprayed onto the cutting edge area of ​​each tool. The proportion of fluorescent agent under damage conditions for each tool is learned in advance; The fluorescence ratio of the blade area is extracted at preset intervals using image acquisition methods. Determine whether the first calculation formula is met; if it is, it is considered that the tool needs to be replaced. If the tool to be replaced is a pre-set replaceable tool, then determine whether the second calculation formula is met. If it is, then tool replacement is initiated. When a new damaged tool appears, the tool replacement command is initiated directly, and the total number of damaged tools is updated using the third calculation formula. The first calculation formula is: ； Where A is the fluorescence ratio in the blade region, and B is... i Let be the fluorescence ratio of the cutting edge region of the i-th damaged tool, and n be the total number of damaged tools; The second calculation formula is: ； Where C is a pre-set replacement ratio coefficient for replaceable cutting tools; The third calculation formula is: n = n + 1.

6. The intelligent scheduling method for processing non-standard parts as described in claim 1, characterized in that, The process of obtaining the current material allocation and updating the current machine processing task specifically includes: Obtain the current material allocation status and determine whether all machines need to operate at the moment; When not all machines need to be in operation, the machining tasks are allocated according to the number of tool changes, from smallest to largest.

7. The intelligent scheduling method for processing non-standard parts as described in claim 1, characterized in that, The online display and work allocation based on production scheduling, tool allocation, and processing tasks specifically includes: Real-time data collection of current production scheduling, tool allocation, and machining task assignments is displayed on an electronic screen. The corresponding staffing information is displayed directly on the electronic screen and assigned to the specific work position of each staff member.

8. An intelligent scheduling system for processing non-standard parts, characterized in that, The system is used to implement the method as described in any one of claims 1-7, the system comprising: The order planning module is used to enter future production plan data online and update the current shipping plan; The production scheduling comparison module is used to collect tool information in NC code in real time and set specific tool adjustment scheduling principles. The automatic scheduling module is used to update the production schedule for a new stage based on the QR code scanning information of the materials. The tool arrangement module is used to spray the cutting edge area of ​​the tool with a fluorescent agent before it leaves the warehouse, and to set the tool arrangement online; The material allocation module is used to obtain the current material allocation and update the current machine processing tasks; The digital display module is used to display and assign tasks online based on production scheduling, tool allocation, and processing tasks.

9. A computer-readable storage medium storing computer program instructions thereon, characterized in that, The computer program instructions, when executed by a processor, implement the method as described in any one of claims 1-7.

10. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-7.

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