A method, system and device for collaborative planning of ultrasonic welding tasks

Abstract

This application proposes a method, system and device for collaborative planning of ultrasonic welding tasks, the method includes: identifying processing information and requirements; obtaining the real-time operating status of the welding workbench, parsing the processing information, evaluating the similarity between the material to be welded and the welded material, and selecting a scheme setting model; screening out welding areas that require corresponding function tags to complete; screening out workbenches that can participate in the operation of the material to be welded; allowing the scheme setting model to construct a welding scheme that conforms to the processing principles, and controlling each workbench to complete the processing of the material to be welded according to the welding process. This application uses automated material identification and task planning to intelligently schedule welding workbenches to ensure that all available resources are fully utilized, quickly adapt to different types of materials and production needs, and reduce the time and cost of equipment reconfiguration.

Description

Technical Field

[0001] The present application relates to the field of ultrasonic welding, and in particular to a method, system and device for collaborative planning of ultrasonic welding tasks. Background Art

[0002] Ultrasonic welding is a technology that uses ultrasonic waves generated by high-frequency mechanical vibrations to achieve processes such as material fusion, welding, and cutting. Its essence is the application of ultrasonic welding in the field of clothing. In clothing production, ultrasonic welding is also widely used, especially in some special materials, detail processing, and rapid production. By fusing two layers of fabric together at the molecular level under the action of ultrasound, it replaces traditional sewing threads.

[0003] Traditional ultrasonic welding systems are usually designed for processing pre-set materials. Once the material type changes, the equipment and process parameters need to be reconfigured, which is not only time-consuming but also prone to errors. In addition, existing ultrasonic welding systems still rely on manual setting of parameters and monitoring of the production process, which not only increases labor costs but also increases the risk of human error. In a multi-workstation or multi-tasking production environment, existing systems often cannot fully utilize all available workstation resources, resulting in low equipment utilization and increased production costs. Summary of the invention

[0004] Based on the problems existing in the prior art, this application provides a method, system and device for collaborative planning of ultrasonic welding tasks. The specific scheme is as follows:

[0005] The present application proposes a task collaborative planning method for ultrasonic welding, which is applicable to an ultrasonic welding device including a control module, an identification module and a plurality of welding workbenches with preset functional labels. The task planning method includes:

[0006] Identify the identification of the material to be welded by the identification module to obtain processing information and processing requirements;

[0007] The control module obtains the real-time operating status of each welding workbench, and analyzes the processing information to determine each welding area and its corresponding structural parameters and position parameters.

[0008] The control module is configured to perform similarity evaluation on the material to be welded and a plurality of welded materials that have been welded based on position parameters and structural parameters of each welding zone, and select a preset random task model and / or a preset set task model as a scheme setting model according to the evaluation result;

[0009] Adjusting the processing principle of the scheme setting model according to the processing requirements, screening out a welding area that requires a corresponding functional label to be completed by combining the processing requirements and the structural parameters, defining the welding area as a first welding area, and defining the functional label as a first label;

[0010] According to the real-time operation status, all welding workbenches that can participate in the operation of the material to be welded are screened to obtain quasi-workbenches, and the positional relationship between the quasi-workbenches and the maximum working time of each quasi-workbenches within a preset time period are analyzed;

[0011] The scheme setting model integrates the position parameters of the first welding area, the position relationship, the maximum working time and the first label to construct a welding scheme that conforms to the processing principle, and controls each quasi-workbench to complete the processing of the material to be welded according to the welding process; wherein the welding scheme includes welding processes involving the execution order of each welding area and the welding workbench that executes each process.

[0012] In some specific embodiments, when a random task model is selected as a scheme setting model, it specifically includes: determining all welding areas that require the participation of the random task model to obtain a random welding group; for the random welding group, allowing the random task model to determine the welding areas around the first welding area according to the position parameters of the first welding area to obtain the second welding area; constructing a welding sequence group involving only the first welding area and the second welding area according to the structural parameters of the first welding area and its corresponding second welding area; integrating each welding sequence group and the welding areas that are not included in the welding sequence group to obtain multiple welding sequences, and selecting one of them as the welding process according to the processing principle; searching for a welding workbench for the welding process according to the position relationship, the maximum working time and the first label.

[0013] In some specific embodiments, when the set task model is selected as the scheme setting model, it specifically includes: determining all welding areas that require the participation of the set task model to obtain a set welding group; for the set welding group, the set task model screens out the welded material with the highest similarity to the material to be welded according to the evaluation results, and obtains the historical welding data of the welded material; parses the historical welding data to obtain the welding process of the welded material, and uses the welding process as the welding process of the material to be welded; and searches for a welding workbench for the welding process according to the position relationship, the maximum working time and the first label.

[0014] In some specific embodiments, when the evaluation result is that the material to be welded is identical or similar to a certain welded material in the welding area, the set task model is selected as the scheme setting model; when the evaluation result is that part of the welding area of ​​the material to be welded is identical or similar to a certain welded material, and another part of the welding area is identical or similar to one or more other welded materials, the set task model is selected as the scheme setting model.

[0015] In some specific embodiments, when the evaluation result is that the material to be welded only partially has a welding area that is identical or similar to the material already welded, the set task model and the random task model are selected as the scheme setting model; when the evaluation result is that the material to be welded does not have a welding area that is identical or similar to the material already welded, the random task model is selected as the scheme setting model.

[0016] In some specific embodiments, the scheme setting model specifically includes:

[0017] Searching for a quasi-workstation that meets the first tag, and analyzing whether the maximum working time of the quasi-workstation exceeds the time required for welding the first welding area, and if so, using the quasi-workstation as the first workstation for processing the first welding area;

[0018] A processing sequence around the first workbench is constructed according to the positional relationship between the first workbench and the surrounding quasi-workbench, and a quasi-welding process covering at least part of the welding area is obtained by combining the position parameters of the first welding area and the positional relationship between the first welding area and the surrounding welding areas;

[0019] On the basis of the quasi-welding process, the welding areas not involved are supplemented, and a quasi-workbench is allocated to the welding areas in combination with the positional relationship to obtain one or more initial welding processes covering all welding areas; and an initial welding process is selected as the final welding process according to the processing principle.

[0020] In some specific embodiments, the similarity evaluation includes analyzing whether there are differences in position parameters and structural parameters of the welding zone between the material to be welded and each welded material;

[0021] If a welding area of ​​the material to be welded is identical to a welding area of ​​a certain welded material in terms of position parameters and structural parameters, the material to be welded is deemed to be identical to the welded material in the welding area;

[0022] If a welding area of ​​the material to be welded is the same as a welding area of ​​a certain welded material in position parameters but different in structural parameters, it is determined that the material to be welded is similar to the welded material in the welding area.

[0023] In some specific embodiments, the functional labels include welding strength level, welding speed level, sustainable welding time, and welding cost;

[0024] The processing principles include best welding quality, lowest welding cost and shortest welding time.

[0025] The present application proposes a task collaborative planning system for ultrasonic welding, which is applicable to an ultrasonic welding device including a control module, an identification module and a plurality of welding workbenches with preset functional labels. The task planning system includes:

[0026] An identification unit, used to identify the identification of the material to be welded through the identification module to obtain processing information and processing requirements;

[0027] A welding zone parameter unit, used to obtain the real-time operation status of each welding workbench through the control module, and analyze the processing information to determine each welding zone and its corresponding structural parameters and position parameters;

[0028] A model selection unit, configured to enable the control module to perform similarity evaluation on the material to be welded and a plurality of welded materials that have been welded based on position parameters and structural parameters of each welding zone, and select a preset random task model and / or a preset set task model as a scheme setting model according to the evaluation result;

[0029] A welding area screening unit, used for adjusting the processing principle of the scheme setting model according to the processing requirements, screening out welding areas that require corresponding functional tags to be completed by combining the processing requirements and the structural parameters, defining the welding area as a first welding area, and defining the functional tag as a first tag;

[0030] A welding station parameter unit, used to select all welding workstations that can participate in the welding material operation to obtain quasi-workstations according to the real-time operation status, and analyze the positional relationship between the quasi-workstations and the maximum working time of each quasi-workstation within a preset time period;

[0031] A scheme construction unit is used to enable the scheme setting model to comprehensively consider the position parameters of the first welding area, the position relationship, the maximum working time and the first label to construct a welding scheme that conforms to the processing principle, and control each quasi-workbench to complete the processing of the material to be welded according to the welding process; wherein the welding scheme includes welding processes involving the execution order of each welding area and the welding workbench that executes each process.

[0032] The present application proposes an ultrasonic welding device for implementing an ultrasonic welding task collaborative planning method as described in any one of the above items. The device includes a control module, an identification module and a plurality of welding workbenches with preset functional labels.

[0033] Beneficial effects: This application proposes a method, system and device for collaborative task planning of ultrasonic welding. Through automated material identification and task planning, it can quickly adapt to different types of materials and production requirements, reducing the time and cost of equipment reconfiguration. Through real-time status monitoring and intelligent scheduling of the welding workbench, it ensures that all available resources are fully utilized, improves equipment utilization and reduces production costs. Through similarity evaluation and selection of preset task models, the system can optimize the welding process based on historical data and best practices to ensure quality consistency between different batches of products. Automated task planning and control reduces dependence on manual labor, reduces the risk of human error, and improves production efficiency and safety. Through reasonable welding process arrangement and workbench scheduling, waiting time and material handling time are reduced, significantly improving production efficiency.

[0034] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 It is a flowchart of the task collaborative planning method of this application;

[0037] Figure 2 It is a module diagram of the task collaborative planning system of this application;

[0038] Figure 3 It is a schematic diagram of the planar structure of the ultrasonic welding device of the present application;

[0039] Figure 4 It is a schematic diagram of the three-dimensional structure of the ultrasonic welding device of the present application.

[0040] Figure numerals: A1-identification unit; A2-welding area parameter unit; A3-model selection unit; A4-welding area screening unit; A5-welding table parameter unit; A6-scheme building unit; 1-identification module; 2-welding workbench; 3-transmission device. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] This application proposes a task collaborative planning method for ultrasonic welding. By integrating advanced recognition technology and intelligent control algorithms, it not only improves production efficiency and product quality, but also reduces production costs, with significant economic and social benefits. The flowchart of the task collaborative planning method for ultrasonic welding is shown in the attached figure. Figure 1 The specific plan is as follows:

[0043] A task collaborative planning method for ultrasonic welding is applicable to an ultrasonic welding device including a control module, an identification module and a plurality of welding workbenches with preset functional labels, the method comprising:

[0044] 101. Identify the identification of the material to be welded through the identification module to obtain processing information and processing requirements;

[0045] 102. The real-time operation status of each welding workbench is obtained through the control module, and the processing information is analyzed to determine each welding area and its corresponding structural parameters and position parameters.

[0046] 103. Enable the control module to perform similarity evaluation on the material to be welded and a plurality of welded materials that have been welded based on position parameters and structural parameters of each welding zone, and select a preset random task model and / or a preset set task model as a scheme setting model according to the evaluation result;

[0047] 104. Adjust the scheme to set the processing principle of the model according to the processing requirements, comprehensively select the welding area that needs the corresponding function label to be completed based on the processing requirements and structural parameters, define the welding area as the first welding area, and define the function label as the first label;

[0048] 105. According to the real-time operation status, all welding workbenches that can participate in the operation of the material to be welded are selected to obtain quasi-workbenches, and the positional relationship between the quasi-workbenches and the maximum working time of each quasi-workbenches within a preset time period are analyzed;

[0049] 106. The scheme setting model integrates the position parameters, position relationship, maximum working time and the first label of the first welding zone to construct a welding scheme that meets the processing principles, and controls each quasi-workbench to complete the processing of the material to be welded according to the welding process; wherein the welding scheme includes welding processes involving the execution order of each welding zone and the welding workbench that executes each process.

[0050] The goal of step 101 is to obtain necessary information from the material to be welded for subsequent processing and planning. The identification module is a hardware and / or software component used to read or detect the identification on the material to be welded. Common identification modules include barcode scanners, QR code readers, RFID readers and visual recognition systems. The material identification is a unique identifier attached or engraved on the material to be welded, which is used to store key information about the material. It can be a barcode, QR code, RFID tag or other form of marking. Barcode / QR code is suitable for materials with obvious markings and can be quickly read by barcode or QR code scanners. RFID is suitable for situations where long-distance reading or reading without sight is required, and is read by RFID readers. For materials without obvious markings, images can be captured by cameras, and then image processing algorithms can be used to identify material information. Processing information includes basic properties of the material to be welded, such as material, size, shape, weight, etc. Processing requirements refer to specific requirements for the welding process in order to achieve the expected welding quality and effect, such as welding quality, welding speed and other numbers.

[0051] In practical applications, installing the identification module at a suitable position of the production line is usually the first step for materials to enter the production line, so that relevant data can be prepared before the materials arrive. Ensure that the identification module can stably read the material identification to avoid reading failures caused by factors such as light and angle. The identification module needs to communicate with the control module. The control module is the central processing unit of the system, which is responsible for collecting and processing data from various sensors and identification modules, and making decisions and sending instructions based on these data. Usually connected through a wired or wireless network to ensure that the data can be transmitted to the control module in real time. In practical applications, communication protocols such as TCP / IP, Modbus, Profibus, etc. are pre-set to ensure the stability and reliability of data transmission. In addition, a program can be written in the control module to parse the data received from the identification module. The program should be able to decode the identifier and extract processing information and processing requirements from it. The parsing logic may include steps such as data format conversion, data verification, and error handling to ensure the accuracy and integrity of the data. For example, a program is written to parse the information in the QR code. After the program reads the QR code, it decodes the model, batch number, and material type of the material and stores this information in memory. In some embodiments, a database is created to store detailed information on various materials. The database may contain material numbers, material types, processing parameters, historical records, etc. When the recognition module reads the material identification, the control system can obtain the corresponding processing information and requirements by querying the database.

[0052] The goal of step 102 is to obtain the current state of the welding workbench from the control module, and determine the specific welding area of ​​the material to be welded and its related structure and position parameters according to the obtained processing information.

[0053] Specifically, the operation data of each welding workbench is collected in real time through sensors, PLC (programmable logic controller) or other monitoring equipment. The operation status data includes but is not limited to the operation status of the workbench (such as idle, busy, fault), the progress of the current welding task, the remaining working time, etc. Key parameters such as the material material, size, shape, etc. of the material are extracted from the processing information obtained in step 101. The processing information is converted into a format that can be understood by the control system using a predefined data format and parsing algorithm. Automatically parsing the processing information and determining the welding zone parameters reduces production problems caused by manual input errors, and ensures the accuracy and consistency of the welding zone parameters, providing reliable data support for subsequent welding task planning. According to the processing information, the specific area to be welded on the material to be welded is determined. The structural parameters of each welding zone are analyzed, such as the thickness, number of layers, material type, etc. of the material. The position parameters of each welding zone are determined, such as the specific coordinates, size, direction, etc. on the material. The parsed processing information and the determined welding zone parameters are stored in the database for use in subsequent steps. The database should contain detailed information of each welding zone, such as the welding zone number, structural parameters, position parameters, etc. The control module continuously monitors the operation status of the welding workbench and updates the processing information and welding zone parameters as needed. If the status of the welding workbench changes (such as failure, maintenance), the control module should adjust the plan in time to ensure the continuity and stability of the production process. By monitoring the status of the welding workbench in real time, the system can dynamically adjust the task allocation to ensure efficient use of resources.

[0054] Suppose a clothing manufacturing company needs to use ultrasonic welding technology to produce a waterproof sports jacket. The jacket is made of multiple layers of material, including a waterproof outer fabric, a breathable lining, and a reinforcement layer. Each jacket to be welded has a unique QR code label that contains information such as the model, batch number, and material type of the jacket. In the production line, each welding workstation is equipped with a PLC and sensors to monitor the status of the workstation in real time. For example, workstation A is currently busy and is welding a batch of jackets; workstation B is idle and can start a new task immediately.

[0055] From step 101, the QR code scanner has read the QR code of the jacket and obtained the processing information. The processing information includes: jacket model: J200; batch number: B20270501; material type: waterproof outer fabric, breathable lining, reinforcement layer. According to the processing information, the specific areas on the jacket that need to be welded are determined, such as cuffs, hem, collar, etc.

[0056] Analyze the structural parameters of each welding zone:

[0057] Cuffs: Two layers of waterproof fabric, thickness = 0.5mm

[0058] Hem: Three layers of material (waterproof fabric + reinforcement layer + breathable lining), total thickness = 1.2mm

[0059] Collar: Single layer waterproof fabric, thickness = 0.3mm

[0060] Determine the location parameters of each weld zone:

[0061] Cuff: Left cuff coordinates (X1, Y1), right cuff coordinates (X2, Y2)

[0062] Hem: coordinates (X3, Y3), size = 20cmx10cm

[0063] Step 103 is a key step in the collaborative planning method for ultrasonic welding tasks. Its purpose is to evaluate the similarity between the material to be welded and the multiple welded materials that have been welded based on the position parameters and structural parameters of each welding zone, and select a preset random task model or a preset set task model as a solution setting model according to the evaluation results. This step helps to determine the best welding solution to improve production efficiency and welding quality. The similarity evaluation compares the similarity between the material to be welded and the material that has been welded to determine whether there are similar welding requirements and solutions. The random task model is used to deal with uncertain or highly variable welding requirements. The set task model is used to deal with welding requirements with clear rules and standards. The solution setting model is used as the final selected task model to guide subsequent welding task planning.

[0064] Extract key features from the material to be welded, such as the position parameters (coordinates, dimensions) of the weld zone, structural parameters (material thickness, number of layers, material type), etc. Compare these features with the historical data of the materials that have been welded in the database to find similar cases. Calculate the similarity score based on the degree of feature matching. Statistical methods (such as Euclidean distance, cosine similarity, etc.) can be used to quantify the similarity. Determine the degree of similarity between the material to be welded and the historical case based on the similarity score. If the similarity score is low, indicating that there are no very similar historical cases, or the welding requirements are more complex and changeable, select the random task model. This model is usually more flexible and can cope with uncertainty and change. If the similarity score is high, indicating that there are similar historical cases and the welding requirements are clear and standardized, select the set task model. This model is usually based on existing successful experience and can provide efficient solutions.

[0065] For example, retrieve the data of the jacket that has been welded from the database and find the history record of model J200. Compare the weld zone position parameters and structural parameters in the history record with the jacket to be welded. Use Euclidean distance to measure the difference in position parameters, and use absolute difference to measure the difference in structural parameters. The score range can be 0 to 1, and the higher the score, the higher the similarity. Assume that the similarity score is 0.85, which means that the jacket to be welded is highly similar to the jacket in the history record.

[0066] High similarity score (e.g. above 0.8): Select the set task model. Since the similarity score is high, it means that there are similar welding requirements and successful solutions in the history.

[0067] Welding order: weld the cuffs first, then the hem, and finally the collar.

[0068] Welding parameters: Cuffs: temperature 130°C, pressure 40N, time 1.5 seconds; hem: temperature 130°C, pressure 50N, time 2 seconds; collar: temperature 130°C, pressure 30N, time 1 second.

[0069] Welding station assignment: Based on historical best practices, assign station A to the cuffs, station B to the hem, and station C to the collar.

[0070] Low similarity score (e.g. below 0.8): Select the random task model. Since the similarity score is low, it indicates that there are no very similar historical cases, or the welding requirements are more complex and changeable.

[0071] Through similarity evaluation and task model selection, historical experience and best practices can be used to optimize the arrangement of welding tasks. Based on similar historical cases, the same mistakes can be avoided and the welding quality can be improved. The random task model can cope with complex and changing welding requirements and improve the flexibility and adaptability of the system. Through data analysis and the use of historical data, task planning is made more scientific and reasonable.

[0072] The evaluation results include a first result, a second result, a third result and a fourth result; the first result is that the material to be welded is identical or similar to a certain welded material in the welding area; the second result is that part of the welding area of ​​the material to be welded is identical or similar to a certain welded material, and another part of the welding area is identical or similar to another one or more other welded materials; the third result is that only part of the welding area of ​​the material to be welded is identical or similar to the material to be welded, and the other part is different from the material to be welded; the fourth result is that the material to be welded does not have a welding area identical or similar to the material to be welded.

[0073] In some specific embodiments, when the evaluation result is that the material to be welded is the same or similar to a certain welded material in the welding area, the setting task model is selected as the scheme setting model; when the evaluation result is that part of the welding area of ​​the material to be welded is the same or similar to a certain welded material, and the other part of the welding area is the same or similar to another one or more welded materials, the setting task model is selected as the scheme setting model. If all the welding areas of the material to be welded are exactly the same or highly similar to a certain welded material, it can be considered that there is a verified successful welding plan in this case. Therefore, this successful setting task model can be directly adopted to maximize the use of historical experience, ensure welding quality and efficiency, reduce the time and cost of re-planning, and ensure the consistency and reliability of welding. If part of the welding area of ​​the material to be welded is the same or similar to a certain welded material, and the other part of the welding area is the same or similar to another one or more welded materials, this means that although the welding requirements of the overall material are different, each welding area has a historical case that can be referred to. In this case, a complete welding plan can be formed by combining the welding plans of multiple welded materials, while maintaining a certain flexibility, still using existing experience to guide the welding process, thereby improving efficiency and reducing potential risks.

[0074] In some specific embodiments, when the evaluation result is that the material to be welded only has a part of the welding area that is the same or similar to the welded material, the set task model and the random task model are selected as the solution setting model; when the evaluation result is that the material to be welded does not have a welding area that is the same or similar to the welded material, the random task model is selected as the solution setting model. If the material to be welded only has a part of the welding area that is the same or similar to the welded material, and there is no historical reference for the other parts, it means that the set task model needs to be used for the known part, and the random task model is used for the unknown part. This ensures that the welding of the known part can be carried out according to the best practice, while providing sufficient flexibility for the unknown part to explore and optimize. While maintaining partial certainty, the necessary flexibility is introduced to cope with new situations and unknown challenges, thereby improving the adaptability and robustness of the system. If the material to be welded does not have a welding area that is the same or similar to the welded material, it means that this is a brand new welding task without any historical reference. In this case, the random task model needs to be used to explore the best welding solution. Although there is a lack of support from historical experience, the welding process can be gradually optimized through experiments and feedback, and the best welding solution suitable for the new material can be finally found.

[0075] Take the production of waterproof sports jackets as an example:

[0076] When all welding areas (cuffs, hem, collar) of the jacket to be welded are exactly the same or highly similar to those of a certain welded jacket. Select the set task model and directly apply the previously successfully used welding plan to ensure efficient and consistent quality. When the cuffs of the jacket to be welded are the same as those of a certain welded jacket, the hem is the same as another welded jacket, and the collar is the same as a third welded jacket. Select the set task model to combine multiple existing successful welding plans to form a complete welding plan. When the cuffs of the jacket to be welded are the same as those of a certain welded jacket, the hem is the same as another welded jacket, but the collar is different from any welded jacket, select the set task model and the random task model: use the set task model for the cuffs and hem, and use the random task model for the collar to explore the best welding parameters. When the cuffs, hems, and collars of the jacket to be welded are different from any welded jackets, select the random task model: through experiments and feedback, gradually optimize the welding plan to find the best welding parameters for the new material.

[0077] Step 104 is an important part of the collaborative planning method for ultrasonic welding tasks. Its goal is to adjust the processing principles of the scheme setting model according to the processing requirements, and screen out the welding areas that require corresponding functional tags to complete by combining the processing requirements and structural parameters. Processing requirements usually include welding quality standards, production efficiency, cost constraints, etc. For example, for waterproof sports jackets, processing requirements may include: welding strength must meet certain standards to ensure waterproof performance; production efficiency must be as high as possible to meet market demand; costs must be controlled within the budget. According to the specific processing requirements, adjust the processing principles in the scheme setting model. For example: if the welding strength requirements are very high, it may be necessary to increase the welding time and pressure; if the production efficiency requirements are very high, it may be necessary to optimize the allocation of welding paths and workbenches; if cost control is very strict, it may be necessary to select more economical welding parameters.

[0078] Functional labels are pre-set labels used to identify the functions or capabilities of the welding workbench. In some embodiments, the functional labels include welding strength level, welding speed level, sustainable welding time, and welding cost; processing principles include best welding quality, lowest welding cost, and shortest welding time. Welding strength level: indicates the strength of the welding point, which may be divided into several levels, such as high strength, medium strength, and low strength. Welding speed level: indicates the speed of welding, which may be divided into several levels, such as high speed, medium speed, and low speed. Sustainable welding time: indicates the longest time that the welding workbench can work continuously. Welding cost: indicates the cost required to complete the welding, which may include material, energy, and labor costs. Best welding quality: prioritize welding strength and durability. Lowest welding cost: prioritize cost-effectiveness and minimize costs. Shortest welding time: prioritize production efficiency and minimize welding time.

[0079] First, clarify the specific processing requirements of this welding task. For example, for a waterproof sports jacket, the possible requirements are: Best welding quality: to ensure waterproof performance and durability. Lowest welding cost: to control production costs. Shortest welding time: to improve production efficiency.

[0080] Adjust processing principles: Cuffs: High-strength welding is required to ensure durability, and the welding time is short. Hem: High-strength welding is required to ensure waterproof performance, and the welding cost is low. Collar: Medium-strength welding is required to ensure comfort and durability, and the welding time is short. Comprehensive processing requirements and structural parameters are used to select welding areas that require corresponding functional labels to complete.

[0081] By defining the first welding area and the first label, complex or special welding requirements can be met, thereby improving welding quality. By selecting welding areas that require corresponding functional labels according to processing requirements and structural parameters, welding workbenches can be allocated more reasonably to improve resource utilization. By accurately matching welding areas and functional labels, unnecessary adjustments and replanning can be reduced, improving overall production efficiency. By optimizing welding parameters, production costs can be effectively controlled while ensuring quality.

[0082] In some embodiments, the functional tags also include high pressure welding, multi-layer welding and fine welding. High pressure welding: Applicable to welding areas that require higher pressure. Multi-layer welding: Applicable to welding of multiple layers of materials. Fine welding: Applicable to welding areas that require higher precision.

[0083] The purpose of step 105 is to screen out all welding workbenches that can participate in the operation of the material to be welded according to the real-time operating status of the welding workbenches, and analyze the positional relationship between these workbenches and the maximum working time of each within the preset time period, so as to ensure the rationality and efficiency of task scheduling.

[0084] The current status of each welding workbench is collected through the control system, including whether it is idle, busy, faulty, etc. Only workbenches that are idle or about to complete the current task are considered quasi-workbenches that can participate in the operation. List all qualified welding workbenches as quasi-workbenches. Position relationship refers to the relative position of the quasi-workbenches on the production line, including the distance and layout between them. In order to optimize the material transmission path and reduce the handling time, while avoiding interference between workbenches. In addition, each welding workbench has an upper limit of sustainable welding time, and maintenance is required after exceeding this time. Determine a preset time period according to the production plan, such as the next 1 hour, 4 hours or a shift. Maximum working time: Calculate the maximum sustainable working time of each quasi-workbench within the preset period, taking into account maintenance and rest time.

[0085] For example, workstation A: is processing a batch of jackets and is expected to be completed in 10 minutes. Workstation B: Idle. Workstation C: is undergoing maintenance and is expected to be completed in 30 minutes. Workstation D: is processing a batch of jackets and is expected to be completed in 20 minutes. Workstation E: Idle. Select a workstation that is idle or about to complete the current task. Result: The quasi-workstations include workstations B and E, as well as workstations A and D that are about to complete the task. Analyze the positional relationship between the quasi-workstations. Workstation A is located at the starting end of the production line. Workstation B is adjacent to workstation A. Workstation D is located in the middle of the production line. Workstation E is located at the end of the production line. Optimize the material transfer path, reduce the handling time, and avoid interference between workstations. Workstation A: The sustainable welding time is 4 hours, and the last maintenance was 2 hours ago. Workstation B: The sustainable welding time is 4 hours, and the last maintenance was 1 hour ago. Workstation D: The sustainable welding time is 4 hours, and the last maintenance was 3 hours ago. Workstation E: The sustainable welding time is 4 hours, and the last maintenance was 1 hour ago. Preset period: Assume the preset period is the next 4 hours. Maximum working time: Workstation A: 4 hours - 10 minutes = 3 hours 50 minutes. Workstation B: 4 hours. Workstation D: 4 hours - 20 minutes = 3 hours 40 minutes. Workstation E: 4 hours.

[0086] By screening out the quasi-workbenches that can participate in the operation and analyzing their positional relationships, the material transmission path can be optimized, the handling time can be reduced, and the overall production efficiency can be improved. By understanding the positional relationship between the workbenches, mutual interference between the workbenches can be avoided to ensure the smooth progress of production. By determining the maximum working time of each quasi-workbenches within the preset period, the working time can be reasonably arranged to avoid equipment failures caused by excessive use. By reasonably scheduling the workbenches, the existing resources can be maximized and the idle time and waiting time can be reduced.

[0087] Step 106 is the last key step in the collaborative planning method for ultrasonic welding tasks. Its purpose is to construct a welding plan that conforms to the processing principles based on the information obtained in the previous steps, and control each quasi-workbench to complete the processing of the materials to be welded according to the welding process. This step ensures the coordination and efficiency of the entire welding process. Based on the first welding area and its related parameters determined in steps 103 and 104, and the position relationship and maximum working time of the quasi-workbench screened in step 105, a comprehensive welding plan is constructed. According to the position parameters and position relationship of the welding area, the execution order of the welding area is determined. For example, the welding area near the starting end of the production line is welded first, and then gradually moved towards the end. According to the structural parameters and required functional labels of each welding area, the welding area is assigned to a suitable quasi-workbench. Ensure that each welding area can be completed by a workbench with a corresponding functional label. Send welding instructions to each quasi-workbench through the control system, including welding parameters (such as temperature, pressure, time), welding sequence and welding path. During the welding process, the state of the welding workbench is monitored in real time by sensors and control systems to ensure that the welding process proceeds as planned. If an abnormal situation occurs, make adjustments in time.

[0088] The welding plan includes the overall planning of the execution order of welding zones, welding parameters of each welding zone, allocation of welding workbenches, etc. The welding process refers to the execution order and specific operation steps of each welding zone during the welding process. The welding workbench refers to the equipment that actually performs the welding task. Each workbench may have different function labels and sustainable working time.

[0089] Taking the production of waterproof sports jackets as an example, the specific steps are as follows:

[0090] First welding area: hem (three-layer material, high strength grade, medium speed welding, low cost).

[0091] Quasi-workbenches: Workbench A (task is about to be completed), Workbench B (idle), Workbench D (task is about to be completed), Workbench E (idle).

[0092] Position relationship: workbench A is at the starting end, workbench B is next to A, workbench D is in the middle, and workbench E is at the end.

[0093] Maximum working time: Workbench A (3 hours and 50 minutes), Workbench B (4 hours), Workbench D (3 hours and 40 minutes), Workbench E (4 hours).

[0094] Processing principle: best welding quality and lowest welding cost.

[0095] Execution order: First weld the cuffs (two layers of waterproof fabric, high strength, high speed welding). Then weld the hem (three layers of material, high strength, medium speed welding, low cost). Finally weld the collar (single layer of waterproof fabric, medium strength, high speed welding).

[0096] Assign workstations: Cuff: Assign to workstation B (idle, high-speed welding). Hem: Assign to workstation D (about to complete the task, medium-speed welding). Collar: Assign to workstation E (idle, high-speed welding). Send cuff welding instructions to workstation B: temperature 130°C, pressure 40N, time 1.5 seconds. Send hem welding instructions to workstation D: temperature 130°C, pressure 50N, time 2 seconds. Send collar welding instructions to workstation E: temperature 130°C, pressure 30N, time 1 second.

[0097] In some specific embodiments, when the random task model is selected as the scheme setting model, it specifically includes: determining all welding areas that require the random task model to participate in, and obtaining a random welding group; for the random welding group, the random task model determines the welding area around the first welding area according to the position parameters of the first welding area, and obtains the second welding area; constructing a welding sequence group involving only the first welding area and the second welding area according to the structural parameters of the first welding area and its corresponding second welding area; integrating each welding sequence group and the welding area not included in the welding sequence group to obtain multiple welding sequences, and selecting one of them as the welding process according to the processing principle; searching for a welding workbench for the welding process according to the position relationship, the maximum working time and the first label. By decomposing the welding task into local welding sequence groups, the specific characteristics of each welding area can be better adapted. Then, by integrating these local sequence groups, a global welding sequence is generated to ensure overall production efficiency and quality. The random task model allows the system to generate new welding schemes through random exploration without clear historical references, thereby adapting to new welding requirements. Through the random task model, the system can flexibly handle various complex welding tasks, even if there are no ready-made solutions for these tasks.

[0098] First, the weld zones that cannot be processed by the set task model are identified. These weld zones may be because their position parameters or structural parameters do not match any weld zone in the historical data, ensuring that all weld zones that require special treatment are concentrated for subsequent random task model processing. In the random welding group, a weld zone is selected as the first weld zone, and then the surrounding weld zones are determined according to its position parameters (such as coordinates, size). These surrounding weld zones are called second weld zones. In this way, the welding task can be decomposed into smaller subtasks, each of which contains the first weld zone and its surrounding second weld zones, thereby simplifying the planning of the welding sequence. According to the structural parameters of the first weld zone and the second weld zone (such as material thickness, number of layers, material type), a local welding sequence group is constructed, which only involves these weld zones. The local welding sequence group can better adapt to the specific characteristics of each weld zone and ensure the welding quality. All local welding sequence groups are integrated together, and at the same time, those independent weld zones that are not included in the welding sequence group are considered to generate multiple possible global welding sequences. Then, according to the processing principles (such as best welding quality, lowest welding cost, and shortest welding time), an optimal welding sequence is selected as the final welding process. It ensures that the welding sequence not only considers local optimization, but also takes into account the overall production efficiency and quality requirements. Finally, according to the position relationship of the welding area, the maximum working time of the welding workbench, and the required functional labels (such as welding strength level, welding speed level, etc.), the appropriate welding workbench is selected for each welding process, ensuring that each welding process can be completed by the most suitable welding workbench, thereby improving production efficiency and welding quality.

[0099] For example, suppose the collar part does not match any welding area in the historical data, so it is included in the random welding group. The first welding area is the collar. The second welding area is the area around the collar, such as the connection between the collar and the cuff. Welding sequence group: collar -> connection between collar and cuff. Multiple welding sequences are generated, sequence 1: cuff -> hem -> collar -> connection between collar and cuff; sequence 2: hem -> cuff -> collar -> connection between collar and cuff. Assume that according to the processing principle (shortest welding time), sequence 1 is selected as the final welding process. Cuff: assigned to workstation B (idle, high-speed welding). Hem: assigned to workstation D (about to complete the task, medium-speed welding). Collar: assigned to workstation E (idle, high-speed welding). The connection between collar and cuff: assigned to workstation B (high-speed welding).

[0100] In some specific embodiments, when the set task model is selected as the scheme setting model, it specifically includes: determining all welding areas that the set task model needs to participate in, and obtaining a set welding group; for the set welding group, the set task model selects the welded material with the highest similarity to the material to be welded according to the evaluation result, and obtains the historical welding data of the welded material; parses the historical welding data to obtain the welding process of the welded material, and uses the welding process as the welding process of the material to be welded; and searches for a welding workbench for the welding process according to the position relationship, the maximum working time and the first label. By utilizing the experience of the welded material with the highest similarity in the historical data, the system can formulate a welding scheme based on existing successful cases, thereby improving welding quality and production efficiency. Through the similarity evaluation in step 103, it is ensured that the selected welded material has a high similarity with the material to be welded in terms of position parameters and structural parameters, thereby improving the applicability of the welding scheme. By reusing the welding process in the historical welding data, the time for re-planning and testing is reduced, and production efficiency and consistency are improved.

[0101] First, identify the welding areas that can be processed by setting the task model. These welding areas are usually because they have a high degree of similarity with some welding areas in the historical data in terms of position parameters and structural parameters, ensuring that all welding areas that can be processed using historical data are concentrated, which is convenient for subsequent setting task model processing. In the set welding group, according to the similarity evaluation result in step 103, the welded material with the highest similarity to the material to be welded is screened out. Then, the historical welding data of the welded material is obtained, including welding parameters, welding sequence, welding workbench used and other information. By selecting the welded material with the highest similarity, the historical successful experience can be maximized, thereby improving welding quality and production efficiency. The welding process of the welded material, including welding sequence, welding parameters, etc., is parsed from the acquired historical welding data. Then, these welding processes are directly applied to the material to be welded, ensuring that the material to be welded can follow the verified successful welding plan, thereby reducing the time for re-planning and testing, and improving production efficiency and consistency. According to the position relationship of the welding area, the maximum working time of the welding workbench and the required functional labels (such as welding strength level, welding speed level, etc.), the appropriate welding workbench is selected for each welding process, ensuring that each welding process can be completed by the most suitable welding workbench, thereby improving production efficiency and welding quality.

[0102] In some specific embodiments, in the scheme setting model, it specifically includes: searching for a quasi-workbench that meets the first label, and analyzing whether the maximum working time of the quasi-workbench exceeds the time required for welding the first welding area. If it exceeds, the quasi-workbench is used as the first workbench for processing the first welding area; constructing a processing order around the first workbench according to the positional relationship between the first workbench and the surrounding quasi-workbench, combining the position parameters of the first welding area and the positional relationship between the first welding area and the surrounding welding areas, to obtain a quasi-welding process covering at least part of the welding area; supplementing the welding areas that are not involved on the basis of the quasi-welding process, and assigning quasi-workbench to the part of the welding area in combination with the positional relationship, to obtain one or more initial welding processes covering all welding areas; selecting an initial welding process as the final welding process according to the processing principle.

[0103] First, according to the first label required by the first welding zone (such as high strength grade, high-speed welding, etc.), find the workstations that meet these labels from the screened quasi-workstations. Then, check whether the maximum working time of these quasi-workstations is sufficient to complete the welding task of the first welding zone. Ensure that the selected workstation not only has the capacity required to process the first welding zone, but also has enough time to complete the task, so as to avoid interruptions or delays caused by insufficient time. According to the position of the first workstation, analyze the position relationship of the surrounding quasi-workstations, and construct a processing sequence around the first workstation. This sequence should minimize the material handling distance and time to improve production efficiency. By optimizing the processing sequence, unnecessary material handling is reduced and the overall production efficiency is improved. According to the position parameters (such as coordinates, size) of the first welding zone and its position relationship with the surrounding welding zones, a preliminary welding process is constructed. This process covers at least the first welding zone and the surrounding welding zones. Ensure the rationality of the local welding process and provide a basis for the subsequent global welding process. On the basis of the preliminary welding process, supplement those welding zones that have not been involved, and assign appropriate quasi-workstations to these welding zones according to the position relationship. Finally, one or more initial welding processes covering all welding zones are obtained. Ensure that all welding areas are included in the welding plan and that each welding area has a suitable workbench to process, so as to form a complete welding plan. According to the pre-set processing principles (such as the best welding quality, the lowest welding cost, and the shortest welding time), select an optimal welding process from multiple initial welding processes as the final welding process. Ensure that the final welding process meets production needs and achieves the best balance in terms of quality, cost, and time. For example:

[0104] First label: Assume that the first welding area (hem) requires high intensity level and medium speed welding. Quasi-bench: Bench D (high intensity level, medium speed welding, maximum working time 3 hours and 40 minutes). Welding time: The time required to weld the hem is 2 seconds.

[0105] The maximum working time of workbench D is much longer than 2 seconds. First workbench: workbench D.

[0106] Position relationship: Workbench A (starting end). Workbench B (next to A). Workbench D (middle). Workbench E (end). Processing order: A->B->D->E.

[0107] First welded area: Hem. Surrounding welded areas: Cuffs (near A and B) Neckline (near E).

[0108] Quasi-welding process: cuffs->hem->neckline.

[0109] On the basis of the quasi-welding process, the welding areas not involved are supplemented, and the quasi-workbench is allocated to the welding areas in combination with the position relationship, so as to obtain one or more initial welding processes covering all welding areas.

[0110] Uninvolved welding areas: None. Initial welding process: Cuffs -> Hem -> Neckline.

[0111] Assignment of the quasi-workstations: Cuffs: Workstation B (idle, high-speed welding). Hem: Workstation D (high-strength grade, medium-speed welding). Neck: Workstation E (idle, high-speed welding).

[0112] Processing principle: Assume that the processing principle is to minimize welding time.

[0113] Final welding process: cuffs -> hem -> collar.

[0114] Table distribution: Cuffs: Table B. Hem: Table D. Neckline: Table E.

[0115] In some specific embodiments, the similarity assessment includes analyzing whether there are differences in position parameters and structural parameters of the welding zone between the material to be welded and each welded material; if a welding zone of the material to be welded is the same as a welding zone of a certain welded material in position parameters and structural parameters, then it is determined that the material to be welded is the same as the welded material in the welding zone; if a welding zone of the material to be welded is the same as a welding zone of a certain welded material in position parameters and different in structural parameters, then it is determined that the material to be welded is similar to the welded material in the welding zone.

[0116] If the position parameters of two welding zones are the same, it means that their relative positions on the material are consistent. This is usually the most basic matching condition in welding operations, because the difference in position may cause changes in the movement path and positioning method of the welding head. If the structural parameters of two welding zones are the same, it means that their physical properties are consistent, which directly affects the selection of welding parameters (such as temperature, pressure, and time). If the structural parameters are different but the position parameters are the same, the welding zones are considered similar, because although there are differences in physical properties, the welding positions are consistent, and this difference can be accommodated by adjusting the welding parameters. By strictly matching the position parameters and structural parameters, the consistency and reliability of the welding operation can be ensured. If the two welding zones are exactly the same, the existing welding plan can be directly applied, thereby reducing planning time and cost. For welding zones with the same position but different structural parameters, the existing welding plan can be used as a reference, but the welding parameters need to be appropriately adjusted. This can both utilize historical experience and adapt to new welding requirements. By distinguishing between the same and the similar, the system can provide sufficient flexibility to adapt to different welding requirements while maintaining a certain degree of consistency. For similar welding zones, the welding process can be optimized by adjusting the welding parameters. For completely different welding areas, a random task model can be used to gradually optimize the welding plan through experiments and feedback to handle new materials or complex welding tasks.

[0117] The present application proposes a task collaborative planning system for ultrasonic welding, which is applicable to an ultrasonic welding device including a control module, an identification module and a plurality of welding workbenches with preset functional labels. The task planning system includes:

[0118] The identification unit A1 is used to identify the identification of the material to be welded through the identification module to obtain processing information and processing requirements;

[0119] The welding zone parameter unit A2 is used to obtain the real-time operation status of each welding workbench through the control module, and analyze the processing information to determine each welding zone and its corresponding structural parameters and position parameters.

[0120] A model selection unit A3 is used to enable the control module to perform similarity evaluation on the material to be welded and the multiple welded materials that have been welded based on the position parameters and structural parameters of each welding zone, and select a random task model and / or a set task model as a scheme setting model according to the evaluation result;

[0121] The welding area screening unit A4 is used to adjust the processing principle of the scheme setting model according to the processing requirements, comprehensively screen out the welding area that needs the corresponding function label to be completed, define the welding area as the first welding area, and define the function label as the first label;

[0122] The welding station parameter unit A5 is used to select all welding workstations that can participate in the operation of the material to be welded to obtain quasi-workstations according to the real-time operation status, and analyze the position relationship between the quasi-workstations and the maximum working time of each quasi-workstation within a preset time period;

[0123] The scheme construction unit A6 is used to enable the scheme setting model to comprehensively consider the position parameters, position relationship, maximum working time and first label of the first welding zone to construct a welding scheme that conforms to the processing principles, and control each quasi-workbench to complete the processing of the material to be welded according to the welding process; wherein the welding scheme includes welding processes involving the execution order of each welding zone and the welding workbench that executes each process.

[0124] An ultrasonic welding device is used to implement any of the above-mentioned ultrasonic welding task collaborative planning methods, and the device includes a control module, an identification module, and a plurality of welding workbenches with preset function labels. Figure 3 and attached Figure 4 A schematic diagram of the structure of an ultrasonic welding device is provided, comprising an identification module 1, a welding workbench 2 and a conveying device 3. The conveying device 3 is distributed between two rows of welding workbench 2 in the form of a conveyor belt, and each row of welding workbench 2 can be composed of one or more components, and the material is transferred between them through a mechanical arm. The control module is not shown in the figure. The identification module 1 is located at the starting point of the conveyor belt and is responsible for acquiring processing information.

[0125] The present application provides a computer program product, which includes computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes a task collaborative planning method for ultrasonic welding. A task collaborative planning method for ultrasonic welding is applied to a computer program product for easy execution.

[0126] The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for collaborative planning of ultrasonic welding tasks as described above.

[0127] Those skilled in the art should understand that the modules of the present application described above can be implemented by a general-purpose computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by program codes executable by a computer system, so that they can be stored in a storage system and executed by the computing system, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0128] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

[0129] The above disclosure only discloses several specific implementation scenarios of the present application. However, the present application is not limited thereto, and any changes that can be conceived by technicians in this field should fall within the scope of protection of the present application.

Claims

1. A collaborative planning method for ultrasonic welding tasks, characterized in that: Applicable to an ultrasonic welding device including a control module, an identification module and a plurality of welding workbenches with preset functional labels, the task planning method includes: Identify the identification of the material to be welded by the identification module to obtain processing information and processing requirements; The control module obtains the real-time operating status of each welding workbench, and analyzes the processing information to determine each welding area and its corresponding structural parameters and position parameters. The control module is configured to perform similarity evaluation on the material to be welded and a plurality of welded materials that have been welded based on position parameters and structural parameters of each welding zone, and select a preset random task model and / or a preset set task model as a scheme setting model according to the evaluation result; Adjusting the processing principle of the scheme setting model according to the processing requirements, screening out a welding area that requires a corresponding functional label to be completed by combining the processing requirements and the structural parameters, defining the welding area as a first welding area, and defining the functional label as a first label; According to the real-time operation status, all welding workbenches that can participate in the operation of the material to be welded are screened to obtain quasi-workbenches, and the positional relationship between the quasi-workbenches and the maximum working time of each quasi-workbenches within a preset time period are analyzed; The scheme setting model constructs a welding scheme that complies with the processing principle by integrating the position parameters of the first welding zone, the position relationship, the maximum working time and the first label, and controls each quasi-workbench to complete the processing of the material to be welded according to the welding process; The welding scheme includes welding procedures involving the execution order of each welding zone and a welding workbench for executing each procedure.

2. The task collaborative planning method according to claim 1, characterized in that: When the random task model is selected as the solution setting model, it specifically includes: Determine all welding areas that require the random task model to participate in, and obtain a random welding group; For the random welding group, the random task model determines a welding area around the first welding area according to the position parameter of the first welding area to obtain a second welding area; Constructing a welding sequence group involving only the first welding area and the second welding area according to the structural parameters of the first welding area and the corresponding second welding area; Integrate each welding sequence group and welding areas not included in the welding sequence group to obtain a plurality of welding sequences, and select one of them as the welding process according to the processing principle; A welding workbench is searched for the welding process according to the positional relationship, the maximum working time and the first tag.

3. The task collaborative planning method according to claim 1, characterized in that: When the setting task model is selected as the solution setting model, it specifically includes: Determine all welding areas that require the set task model to participate in, and obtain a set welding group; For the set welding group, the set task model is used to screen out the welded material with the highest similarity to the material to be welded according to the evaluation result, and obtain the historical welding data of the welded material; Analyze the historical welding data to obtain the welding process of the welded material, and use the welding process as the welding process of the material to be welded; A welding workbench is searched for the welding process according to the positional relationship, the maximum working time and the first tag.

4. The task collaborative planning method according to claim 1, characterized in that: When the evaluation result is that the material to be welded is identical or similar to a certain welded material in the welding area, the setting task model is selected as the solution setting model; When the evaluation result is that part of the welding area of ​​the material to be welded is the same as or similar to a certain welded material, and another part of the welding area is the same as or similar to another one or more welded materials, the setting task model is selected as the solution setting model.

5. The task collaborative planning method according to claim 1, characterized in that: When the evaluation result is that the material to be welded only has a welding area that is partially identical or similar to the welded material, selecting the set task model and the random task model as the solution setting model; When the evaluation result is that the material to be welded does not have a welding zone that is identical or similar to the welded material, the random task model is selected as the solution setting model.

6. The task collaborative planning method according to claim 1, characterized in that: In the scheme setting model, it specifically includes: Searching for a quasi-workstation that meets the first tag, and analyzing whether the maximum working time of the quasi-workstation exceeds the time required for welding the first welding area, and if so, using the quasi-workstation as the first workstation for processing the first welding area; A processing sequence around the first workbench is constructed according to the positional relationship between the first workbench and the surrounding quasi-workbench, and a quasi-welding process covering at least part of the welding area is obtained by combining the position parameters of the first welding area and the positional relationship between the first welding area and the surrounding welding areas; On the basis of the quasi-welding process, the welding areas not involved are supplemented, and a quasi-workbench is allocated to the welding areas in combination with the positional relationship to obtain one or more initial welding processes covering all welding areas; and an initial welding process is selected as the final welding process according to the processing principle.

7. The task collaborative planning method according to claim 1, characterized in that: The similarity evaluation includes analyzing whether there are differences in position parameters and structural parameters of the welding area between the material to be welded and each welded material; If a welding area of ​​the material to be welded is identical to a welding area of ​​a certain welded material in terms of position parameters and structural parameters, the material to be welded is deemed to be identical to the welded material in the welding area; If a welding area of ​​the material to be welded is the same as a welding area of ​​a certain welded material in position parameters but different in structural parameters, it is determined that the material to be welded is similar to the welded material in the welding area.

8. The task collaborative planning method according to claim 1, characterized in that: The functional labels include welding strength level, welding speed level, sustainable welding time, and welding cost; The processing principles include best welding quality, lowest welding cost and shortest welding time.

9. A task collaborative planning system for ultrasonic welding, characterized in that: Applicable to an ultrasonic welding device including a control module, an identification module and a plurality of welding workbenches with preset functional labels, the task planning system includes: An identification unit, used to identify the identification of the material to be welded through the identification module to obtain processing information and processing requirements; A welding zone parameter unit, used to obtain the real-time operation status of each welding workbench through the control module, and analyze the processing information to determine each welding zone and its corresponding structural parameters and position parameters; A model selection unit, configured to enable the control module to perform similarity evaluation on the material to be welded and a plurality of welded materials that have been welded based on position parameters and structural parameters of each welding zone, and select a preset random task model and / or a preset set task model as a scheme setting model according to the evaluation result; A welding area screening unit, used for adjusting the processing principle of the scheme setting model according to the processing requirements, screening out welding areas that require corresponding functional tags to be completed by combining the processing requirements and the structural parameters, defining the welding area as a first welding area, and defining the functional tag as a first tag; A welding station parameter unit, used to screen out all welding stations that can participate in the welding of the material to be welded to obtain quasi-stations according to the real-time operation status, and analyze the positional relationship between the quasi-stations and the maximum working time of each quasi-station within a preset time period; A scheme construction unit, configured to enable the scheme setting model to construct a welding scheme that complies with the processing principle by integrating the position parameters of the first welding zone, the position relationship, the maximum working time and the first label, and control each quasi-workbench to complete the processing of the material to be welded according to the welding process; The welding scheme includes welding procedures involving the execution order of each welding zone and a welding workbench for executing each procedure.

10. An ultrasonic welding device, characterized in that: A method for collaborative planning of ultrasonic welding tasks for implementing any one of claims 1-8, the device comprising a control module, an identification module and a plurality of welding workbenches with preset functional labels.

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