SMT material feeding mistake proofing method and material feeding system

Abstract

The invention discloses a surface mounting technology (SMT) material feeding mistake proofing method, belongs to the field of electronic manufacturing SMT material feeding management and control, and solves the problems of material mismatching, inaccurate information, nonstandard operation and the like in the SMT material feeding process. According to the method, an SMT material feeding database is constructed, and a material neat set information database and a material feeding information database are covered; creating a feeding operation specification database, and defining an operation specification data set; a voice control instruction database is established, and a feeding operation checking and executing instruction set is arranged. Through cooperation of multiple databases, materials and operation processes are accurately controlled. The invention further provides a material feeding system based on the SMT material feeding mistake proofing method. The automatic feeding device is used for the SMT production line, accurately manages material feeding, reduces the risk of wrong materials, improves the production efficiency, guarantees the manufacturing quality of electronic products, and reduces the production cost.

Description

Technical Field

[0001] The present invention relates to the field of electronic manufacturing surface mount technology (SMT) material feeding control, and in particular to the field of SMT material feeding error prevention. More specifically, the present invention relates to an SMT material feeding error prevention method and a material feeding system. Background Art

[0002] In the electronics manufacturing industry, surface mount technology (SMT) plays a vital role. The SMT production line is responsible for accurately mounting various tiny electronic components on circuit boards to realize the functions of electronic products. The material loading link is a key link in the SMT production process, and its accuracy directly affects product quality and production efficiency.

[0003] Traditional SMT material loading operations mostly rely on manual identification of identification information on the material tray, such as component model and specifications, and then place it in the corresponding position of the placement machine. However, this manual operation method has many disadvantages. On the one hand, human eye recognition is easily disturbed by factors such as fatigue and light conditions, and it may appear that the material model is misread or similar components are confused, resulting in loading errors. For example, some chip resistors or capacitors with similar appearance but completely different electrical parameters are very easy to misjudge by manual visual inspection alone. On the other hand, with the development of electronic products towards miniaturization and multi-functionality, the types of materials involved in the SMT production line are becoming more and more complicated and the quantity is huge. When manually processing such a large amount of information, the probability of error increases significantly. Once a loading error occurs, the subsequent placement process will produce defective products, which will not only cause waste of raw materials and high rework costs, but may also delay the product delivery cycle, bring economic losses to the company, and also have a negative impact on the company's brand reputation. Under such an industrial situation, the research and development and application of SMT material loading error prevention technology is imminent, aiming to reduce human errors through automation and intelligent means and ensure the smooth progress of production. Summary of the invention

[0004] The present invention provides a method for preventing errors in SMT material feeding, which mainly solves the following technical problems: 1) The problem of chaotic material information management: By building a material complete information database and a material loading information database, integrating multi-dimensional information such as the source, batch, quantity, correlation, and loading history of the material, the situation of scattered and difficult to trace material information during traditional manual loading is changed, making material management more organized, providing data support for accurate loading, and avoiding loading errors caused by mismatched material information.

[0005] 2) Inconsistent operating specifications: Build a loading operation specification database and formulate a unified loading operation specification data set to ensure that different operators have standardized operating procedures to follow during the loading process, reduce errors caused by differences in personal operating habits, and improve the consistency and accuracy of loading operations.

[0006] 3) Low efficiency of human-machine interaction: With the help of voice control command database, convenient and efficient voice interaction between the control system and the operator is realized. The operator does not need to be distracted by viewing complex operation interfaces or paper documents. Through voice commands, key steps such as material verification and loading can be completed, which reduces the tediousness of manual operation and improves the loading speed.

[0007] 4) Problems with command transmission in noisy environments: In view of the complex and changeable noise environment of SMT production sites, the output strategy of voice control commands is innovatively adjusted dynamically according to the noise level. In low-noise, medium-noise, and high-noise scenarios, the command transmission method is optimized in terms of volume, repetition frequency, auxiliary indicator lights, etc., to ensure that operators can clearly receive control system commands, avoid loading errors caused by missing or mishearing commands, ensure the smoothness of human-machine interaction, and further improve the loading error prevention effect.

[0008] To this end, the present invention provides a SMT material feeding error prevention method, comprising the following steps: S1. Build a database, which includes an SMT material loading database, loading operation specification data, and a voice control instruction database; S2. The control system issues a voice control command according to the information in the database; S3, the control system receives and identifies the interaction information between the operator and the control system, and adjusts the voice control instruction according to the interaction information; The control system also collects noise from the operating environment and controls the volume of the voice control command according to the noise level of the operating environment, the frequency and content of interaction between the operator and the control system: When the operating environment is low-noise, the control system outputs voice control instructions at a normal volume and regular repetition frequency. If it is detected that the operator requests the control system to issue repeated voice control instructions multiple times, the control system increases the volume level to output the voice control instructions. When the operating environment is in medium noise, the control system outputs voice control instructions at a volume level higher than the normal volume and a repetition frequency 30-50% higher than the normal repetition frequency. If it is detected that the operator requests the control system to issue repeated voice control instructions multiple times, the control system will increase the volume level and output the voice control instructions; When the operating environment is in high noise, the control system outputs voice control instructions at a volume one level lower than the normal volume and a repetition frequency 50-60% lower than the normal repetition frequency, and at the same time sends flashing indicator light instructions to the operator.

[0009] Preferably, the SMT material loading database in S1 includes: A material set information database, which includes material information, material source and batch information, material quantity information, and information on the relationship between materials; and A material loading information database, which includes loading history information, loading performance information associated with the source and batch information of the material, loading location information, and loading time information, and the material loading information database is associated with the material complete set information database; The material loading operation specification database includes a material loading operation specification database, which includes a personnel qualification and training record database, a material unpacking process and inspection process database, a standard operating process database for equipment operation and maintenance, an equipment daily maintenance plan database, a material loading process operation specification database, and a safety and emergency operation procedure database; The voice control instruction database includes: A check information control instruction set, which includes a check material information instruction and a check material quantity instruction; Execute the material loading operation instruction set, which includes executing material loading operation instructions, operation specific procedure instructions, and repeat instructions.

[0010] Preferably, the method for constructing the material complete set information database includes: A1. Collect the operating data of SMT production lines in the past three years, including the capacity utilization rate, component applications, order delivery cycle, and the impact of market fluctuations on the supply of key components in each season and at specific time points, and establish a production database based on the operating data; A2. Calculate the consumption rate of each component of the product line based on the production database and simulate the annual change curve of the consumption rate of each component; A3. Build an overall dynamic threshold model for all required components in the product line; A4. Construct a material complete set information database based on the dynamic threshold model.

[0011] Preferably, when the material loading information database is associated with the material completeness information database, if the material loading information database receives the source and batch information of the material from the material completeness information database, it performs verification based on its own recorded loading history information and the loading performance information associated with the source and batch information of the material, and issues an early warning if the loading performance information is abnormal; if the material completeness information database receives the loading time information from the material loading information database that is less than a threshold value A, it performs rationality verification on the loading position information and the loading time information in the material loading information database based on the material information, the quantity information of the material, and the association relationship information between the materials.

[0012] Preferably, the SMT material feeding error prevention method further comprises regularly updating the dialect voice package of the voice control instruction library online, and automatically switching to the corresponding dialect voice package according to the dialect recognition result when the operator uses the voice instruction for the first time.

[0013] Preferably, S3 also includes analyzing the operator's voice, intonation, speaking speed, and timbre, and judging the operator's emotional state in real time, such as identifying negative emotions, and the control system selects a relatively short instruction from the voice control instruction database to issue the agreed statement.

[0014] Preferably, the noise level of the operating environment is determined by the following criteria: If the noise is greater than or equal to 80 decibels, it is considered high noise; If the noise level is greater than or equal to 50 decibels, but less than 80 decibels, it is considered medium noise; If the noise is less than 50 decibels, it is low noise; The normal volume is 60 decibels; The voice control instructions are divided into key instructions, urgent instructions and non-key instructions, wherein the regular repetition frequency of key instructions is once every 3 minutes, the regular repetition frequency of urgent instructions is once every minute, and the regular repetition frequency of non-key instructions is once every 10 minutes.

[0015] The present invention further claims protection for a material feeding system of the SMT material feeding error prevention method, comprising: A loading module, which sequentially retrieves corresponding materials according to the loading position information in the material loading information database, and issues voice control instructions to load materials according to the corresponding loading positions; at the same time, it receives and identifies the interaction information between the operator and the control system, and adjusts the voice control instructions according to the interaction information; and controls the volume of the voice control instructions according to the noise level of the operating environment, the interaction frequency and content between the operator and the control system.

[0016] Preferably, the material feeding system further comprises: The material preparation module confirms the material and material position information by scanning the barcode set on the material, and compares it with the material information and loading position information recorded in the SMT material loading database to determine whether the materials are complete, and marks the common materials in multiple operation processes; and supplies the complete materials to the loading module for use; A checking module, which further scans the barcode set on the material and checks the accuracy of the material loading according to the voice and / or text control instructions issued by the feeding module; The material replacement module is used to scan the barcode set on the replaced material to bind the replaced material with the loading personnel and material station information when there is a shortage of material at the loading module.

[0017] Preferably, the method for marking common materials in multiple operation processes in the material preparation module is as follows: B1. When setting the material barcode, a unique ID is assigned to each material and associated with the SMT material loading database; the unique ID contains the basic attributes of the material (such as material name, specification, batch, etc.) B2. When the material preparation module scans the barcodes set on all materials in the first operation process, the ID set of all materials in the first operation process is recorded and retained; when the material preparation module scans the barcodes set on all materials in the second operation process, the ID set of all materials in the second operation process is recorded and retained; B3. Combine the ID set of all materials in the first operation flow and the ID set of all materials in the second operation flow, and mark the materials with a record element quantity greater than 1 as shared materials.

[0018] The present invention has at least the following beneficial effects: First, at the material management level, by building a multi-dimensional material set information database and a material loading information database, and combining past production line operation data for in-depth analysis, accurately simulating the component consumption rate, and building a dynamic threshold model, material supply and loading arrangements are made more scientific. Enterprises can gain insight into material demand trends in advance, avoid material shortages or backlogs, ensure smooth operation of production lines, reduce downtime due to improper material preparation, and improve overall capacity utilization. At the same time, based on the information interaction verification mechanism between databases, once abnormal loading performance or unreasonable loading time and location are found, timely warnings will be issued to reduce the risk of loading errors from the source and ensure product quality stability.

[0019] Secondly, in terms of operating specifications, a comprehensive database covering personnel qualifications, material handling, equipment operation and maintenance, loading process, safety and emergency response is built to provide operators with detailed and standardized guidance. New employees can quickly get started, and old employees can operate in a more standardized and unified manner, reducing human operating errors and defective product rates. It can also extend the service life of equipment, reduce the frequency of equipment failure maintenance, and ensure that production plans are carried out on time.

[0020] Furthermore, the optimization of voice control and human-computer interaction has achieved remarkable results. On the one hand, the voice package and intelligent switching function that adapt to the multi-dialect environment break the language communication barrier, allowing operators from different regions to accurately receive instructions and improve the efficiency of instruction transmission. On the other hand, the length of the instruction is adjusted according to the emotional state of the operator to avoid misunderstanding of the instruction due to negative emotions. At the same time, the unique gesture interaction recognition expands the communication method. When the operator's hands are busy, simple gestures can interact with the control system, making the operation more convenient and smooth, and further improving the loading speed.

[0021] Finally, the refined response strategy for the noisy environment is extremely valuable. Reasonable control of the volume and repetition frequency of voice commands at different noise levels, combined with eye-catching flashing indicator commands, ensures that operators can clearly obtain key information in noisy workshops and do not miss any loading steps, greatly enhancing the reliability of human-computer interaction and fully ensuring the accuracy and efficiency of SMT material loading.

[0022] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the process of the SMT material feeding error prevention method of the present invention. DETAILED DESCRIPTION

[0024] The present invention is further described in detail below in conjunction with the accompanying drawings so that those skilled in the art can implement the invention with reference to the description.

[0025] It should be understood that the terms such as “having”, “including” and “comprising” used herein do not exclude the existence or addition of one or more other elements or combinations thereof.

[0026] It should be noted that the experimental methods described in the following embodiments are conventional methods unless otherwise specified, and the reagents and materials can be obtained from commercial sources unless otherwise specified; in the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "set" should be understood in a broad sense, for example, they can be fixedly connected, set, or detachably connected, set, or connected and set in one piece. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood in specific circumstances. The orientation or position relationship indicated by the terms "lateral", "longitudinal", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. is based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention.

[0027] like Figure 1 As shown, the present invention provides a method for preventing errors in SMT material feeding: First, construct the SMT material loading database, which includes the material set information database and the material loading information database.

[0028] The material set information database also includes: Material information: It records the key parameters such as component models and specifications in detail. Material source and batch information: Used for subsequent traceability. If there is a quality problem with the product, the source of the problem material can be quickly locked based on this information, and the hidden dangers of the same batch of materials can be promptly checked to effectively control the spread of quality risks. Material quantity information: Used to ensure that the material supply on the production line is adapted, so that there will be no production stoppage due to lack of materials, delays in construction period, and increased costs, and no capital and storage space will be occupied due to material backlogs. Information on the relationship between materials: Used to reflect the matching use of materials in the circuit board assembly process. Specific resistors and capacitors are often used in conjunction with chips. Accurately grasping the relationship can prevent mismatching.

[0029] The material loading information database also includes: Loading history information: used to provide operators with past operation references, so that they can know the general process and error-prone points of loading similar products. Loading performance information associated with material sources and batches: If a batch of materials has frequently experienced poor absorption during loading, the next time this batch is encountered, the absorption device can be checked in advance to eliminate potential faults in advance, ensure smooth loading, reduce downtime for maintenance, and improve production efficiency. Loading position information: used to accurately indicate the specific location of the placement machine where the material should be placed, to ensure that the placement head can accurately and quickly grab the material, reduce grabbing errors and time waste, and greatly improve production efficiency. Loading time information: used to reasonably arrange the overall production rhythm, monitor whether the material loading is completed on time, avoid slowing down the progress of the entire production line due to delays in the loading of individual materials, and link with the material set information database to achieve data interoperability, and comprehensively guarantee the timeliness and accuracy of loading.

[0030] Secondly, build a material loading operation specification database: the material loading operation specification data set specifies every step from material collection, transportation to installation on the machine. In the material collection stage, operators are required to carefully check the material collection list and the actual materials to prevent the wrong materials from being collected; when carrying, such as when carrying large materials, they are required to carry with both hands to prevent them from falling and being damaged, and to avoid the materials being damaged by bumps and affecting their performance; when installing materials on the material rack, they must be inserted in a specific direction to ensure that the materials are installed correctly and well connected to the placement machine. The detailed specifications are intended to nip in the bud problems such as material damage and material misalignment caused by improper human operation, and ensure smooth production processes and stable product quality.

[0031] Secondly, build a voice control command database: check the information control command set and execute the loading operation command set.

[0032] The information checking control instruction set includes the material information checking instruction and the material quantity checking instruction.

[0033] Instructions for checking material information: When operators pick up materials, they will use voice prompts to confirm whether the model and specifications of the materials in their hands are consistent with the system requirements, thus eliminating the situation of taking wrong materials from the source and avoiding product defects and rework caused by wrong use of materials.

[0034] Material quantity check instruction: used to promptly remind the operator whether the quantity of materials taken is accurate, to prevent insufficient materials from causing the production line to stop waiting for materials, or excessive materials from causing material waste and inventory backlog, effectively reducing material costs and rework risks.

[0035] The execution of the loading operation instruction set includes executing the material loading operation instruction, operating specific procedure instructions and repeating instructions. Execute material loading operation instructions: used to clearly tell the operator when to place the material on the placement machine, so that the operator can accurately grasp the loading timing and synchronize with the rhythm of the production line.

[0036] Specific operating procedures and instructions: used to explain in detail the placement techniques, fixing methods and other details, to ensure that the materials are installed on the machine in a standardized and stable manner, to ensure smooth grasping of the patch head, and to reduce the problems of grasping failure and displacement caused by improper material installation.

[0037] Repeat instructions: Used to quickly retrieve instructions when the operator does not hear clearly or forgets, improve operational convenience and accuracy, and avoid operational errors due to poor communication.

[0038] The control system issues voice control instructions based on the information from the above three databases to achieve intelligent guidance. The operator receives the instructions and interacts with the control system, and the system adjusts the instructions after identifying the interactive information. For example, if the operator reports that the actual packaging of a material does not match the system records, the system can immediately verify and update the material information and reissue accurate instructions. In this process, the system uses advanced voice recognition technology to quickly and accurately identify the operator's voice instructions and feedback information, and convert them into processable data instructions. At the same time, it uses efficient algorithms to generate real-time and accurate voice control instructions based on database information to guide the operator's operation. The operator can also issue information or instructions to the control system through voice or gestures.

[0039] The present invention also takes into account the noise factors of the operating environment: in a low-noise environment, voice control instructions are output at a normal volume and regular repetition frequency, so that the operator can clearly receive the instructions. At the same time, the system monitors the interaction frequency and content. If the operator requests to repeat the instructions multiple times, it may mean that he or she may not have heard clearly due to distraction, etc. The volume is increased by one level to ensure that the instructions are conveyed and maintain smooth operation.

[0040] In a medium noise environment, increase the volume and repetition frequency appropriately. Due to noise interference, the clarity of speech decreases. Increasing the volume and repetition frequency can counteract interference and make it easier for operators to capture instructions. If multiple repetitions are still required, further increase the volume to ensure that operators can receive instructions in a timely and accurate manner, avoiding delays or errors due to unclear instructions.

[0041] High-noise environments are special. Lower the volume, reduce the frequency of repetitions, and issue flashing indicator light commands. This is because in excessively high noise, continuous loud voice commands are not only difficult for operators to hear, but also cause auditory fatigue. The indicator light serves as an auxiliary visual reminder, which can attract the operator's attention in the noise and guide them to check the text instructions on the display screen. Multiple methods are combined to ensure that the instructions are effectively conveyed and minimize feeding errors caused by environmental factors. At this time, the system uses indicator lights with higher brightness and moderate flashing frequency, combined with concise and clear text prompts on the display screen. Even in a high-noise environment, the operator can quickly obtain key command information to ensure smooth operation.

[0042] In summary, this SMT material feeding error prevention method, through multi-database collaboration, voice control and noise adaptation design, comprehensively guarantees the accuracy and efficiency of material feeding, reduces production costs and quality risks, and provides solid support for the stable and high-quality operation of SMT production processes. From material source control, to operation process specification, to intelligent voice guidance and environmental adaptability optimization, each link is closely linked to form a complete and efficient error prevention system.

[0043] According to another embodiment of the present invention, data of SMT production lines in various seasons (spring, summer, autumn and winter) and specific time nodes such as holidays and promotional seasons in the past three years are also collected. In terms of capacity utilization, the number of patches per hour, the number of finished product outputs, etc., combined with the order volume, is used to calculate the busyness of the production line in different periods. Component application data covers the frequency of use and brand preferences of various types of components (resistors, capacitors, chips, etc.), which helps to understand the degree of dependence of product lines on different materials. The order delivery cycle records the time from order receipt to finished product delivery, analyzes the reasons for its fluctuations, such as delays in raw material supply, production process adjustments, etc., and pays close attention to factors such as changes in raw material market prices and changes in supplier capacity for market fluctuations on the supply of key components. When a key component market is in short supply and prices rise sharply, the corresponding time nodes and impact levels are recorded in a timely manner. Use professional data statistics software (such as SAS) to organize and classify these complex data, establish a production database, and prepare for subsequent analysis.

[0044] Then, based on the production database, for each product line, the statistics are broken down by component type. The consumption quantity of each component is calculated on a monthly basis and divided by the corresponding production time to obtain the monthly consumption rate. The monthly data is recorded for three consecutive years, and the annual change curve of the consumption rate is drawn through data analysis tools (such as Excel chart function or professional statistical software) to clearly show the trend of component consumption over time. The peak of the curve may correspond to the increase in production during the peak season of the product, and the valley value may be the production line maintenance and product off-season period.

[0045] The model is constructed by considering a variety of factors. On the one hand, according to the annual change curve of the consumption rate, the basic thresholds for different seasons and different production plans are set. For example, during the peak season, the threshold of a commonly used capacitor is appropriately increased to prevent insufficient supply; the threshold is lowered accordingly during the off-season to avoid inventory backlogs. On the other hand, combined with market fluctuations, when the supply of a key component is unstable and the price is expected to rise, the threshold is lowered to warn the procurement department in advance to increase the purchase volume; if the supply is sufficient and the price is stable, the threshold can be maintained at a normal level. At the same time, referring to the additional material consumption caused by past production line failures and quality problems, a certain buffer is reserved to ensure that the threshold has dynamic adaptability and comprehensively guarantee the timeliness and rationality of material supply.

[0046] The calculated dynamic threshold is integrated into the material completeness information database: for each material, in addition to the original model, specification, source batch, quantity and other information, a new threshold field is added. In the material procurement plan formulation stage, the system automatically compares the inventory quantity based on the current production task, time node and threshold data. When the inventory is lower than the threshold, the purchase application is triggered in time to ensure that the materials are complete, meet the needs of continuous operation of the production line, and avoid production stoppage due to material shortages.

[0047] According to another embodiment of the present invention, when the material loading information database receives the source and batch information of the material from the material set information database, the verification procedure is quickly started. It first retrieves the loading history information recorded by itself, checks the number of past loadings of the source and batch materials, and whether there have been any abnormal situations (such as frequent errors, poor patch, etc.), and associates the corresponding loading performance information, and analyzes in detail parameters such as the absorption success rate and patch accuracy. If it is found that a key indicator in the loading performance information deviates from the normal range, for example, the absorption success rate of a batch of materials is lower than 80% (the normal level is set to be above 95%), the system will immediately issue an early warning, which can be displayed on the operator terminal through a pop-up window and sent to the production supervisor and quality engineer by email at the same time, reminding them to check the material quality problems in advance or adjust the parameters of the loading equipment to ensure the smooth progress of this loading.

[0048] When the material complete set information database detects that the feeding time information fed back by the material feeding information database is less than the threshold A (the threshold A is set based on the average feeding time of the past production line and combined with a certain buffer amount, such as the average feeding time is 10 minutes, and the threshold A is set to 8 minutes), the system responds quickly. Based on the material information stored in itself, verify whether the model and specification of the material to be fed match the current production task; check the quantity information of the material to ensure that the quantity is sufficient to complete this fast feeding task to avoid insufficient material due to hasty feeding; use the relationship information between the materials to verify whether the feeding position information is reasonable to prevent material mismatch due to confusion in the feeding sequence. For example, if a complex circuit board is assembled, the chip that is fed first needs to be matched with specific capacitors and resistors. If the feeding time is too fast, the system verifies whether the capacitors and resistors are ready and the feeding positions are adjacent, so that the operator can install them quickly and accurately, ensuring a compact and correct production rhythm. Once an unreasonable situation is found, a correction prompt will be issued to the operator in a timely manner to suspend the feeding process until the problem is solved.

[0049] According to another embodiment of the present invention, an independent file is established for each employee involved in SMT material loading and related operations. The employee's entry time, educational background, and professional skill certificate acquisition, such as the electronic assembler certificate level, are recorded. Using this database, production managers can reasonably assign work tasks according to the employee's skill level to ensure that key positions are handled by skilled employees.

[0050] Develop a dedicated unpacking process for different types of SMT materials. For electrostatically sensitive components (such as chips), it is required to remove the packaging on an anti-static workbench, using anti-static tools, and in a specific order to avoid damage to the components caused by static electricity.

[0051] Covers all equipment on the production line, such as placement machines, printers, reflow ovens, etc. For each device, detailed records are kept of the startup and shutdown steps, parameter setting methods (such as placement speed and precision parameters of placement machines), daily cleaning and maintenance points (such as regular cleaning of placement machine nozzles to prevent blockage that affects the suction effect), and troubleshooting guides (when a certain type of error code appears on the device, the corresponding possible cause of the fault and preliminary troubleshooting steps).

[0052] Develop a detailed daily maintenance plan based on factors such as equipment type, frequency of use, manufacturer recommendations, etc. Set daily, weekly, monthly, quarterly, and annual maintenance tasks. The system reminds maintenance personnel in advance to ensure that maintenance tasks are performed on time and the equipment is always in the best operating condition.

[0053] Refine the specifications for the entire process from material collection to loading. In the material collection stage, in addition to checking the material collection list and the actual materials, specify the collection route to prevent the materials from being damaged during transportation; when transporting materials, clarify the tools and methods for handling materials of different weights and sizes; when loading materials to equipment, standardize the arrangement order and fixing method of materials on the rack, as well as the operational details of docking with the equipment.

[0054] Focus on potential safety hazards in the production process, such as electrical safety, high temperature burn risks (around the reflow oven), and safe use of chemicals (solder paste, etc.). Develop detailed emergency operating procedures to ensure personal safety and production environment safety.

[0055] According to another embodiment of the present invention, a dialect voice package is used to issue instructions including checking material information, executing material loading operations, etc. and recognize the operator's voice. Updates can also be downloaded from the cloud server to ensure that the voice package keeps pace with the times and adapts to the language habits of operators in different regions.

[0056] When the operator uses voice commands for the first time, the system's built-in advanced voice recognition software starts up quickly, analyzes the operator's voice features, and identifies the type of dialect. In a very short time (usually no more than 1 second), the recognition results are compared with the preset dialect database. Once a match is successful, the system automatically switches to the corresponding dialect voice package.

[0057] According to another embodiment of the present invention, during the interaction between the operator and the control system, the system uses voice analysis technology to capture the operator's voice features in real time. By analyzing factors such as the pitch of the voice, the speed of speech, and the change in timbre, the emotional state of the operator is judged. When the tone of voice suddenly rises, the speed of speech increases, and the timbre becomes sharp, combined with semantic analysis (such as frequent complaints and impatient words), the system determines that the operator is in a negative emotion such as anxiety and irritability. At the same time, the system continuously monitors the voice data over a period of time (such as the past 5 minutes), comprehensively considers the trend of emotional changes, avoids misjudgment, and accurately understands the psychological state of the operator.

[0058] Once the operator's negative emotions are identified, the control system responds immediately. In the voice control command database, relatively short commands are screened for different command types (check information, perform loading operations, etc.). For example, the original long command "Please check whether the model, specification, and batch information of the material are accurate and ensure that they are consistent with the system display" is switched to a short command "Check the material information to ensure that it is correct." Conveying key information in a concise and clear manner reduces the operator's information reception burden, avoids difficulties in understanding complex commands due to bad emotions, and helps operators quickly adjust their status and continue to operate efficiently.

[0059] According to another embodiment of the present invention, high-definition video equipment is installed at a suitable position on the SMT production line to ensure that the operator's operating area is covered without visual blind spots. The images captured by the video equipment are analyzed in real time using image recognition technology. First, a gesture model library is established. Open your palm and then quickly make a fist; put your index finger and middle finger together, point to the device and draw a circle; put your thumb up, straighten your index finger and both are vertical, and bend the other fingers; spread your hands horizontally in front of your chest and then gather them inward; extend one hand, palm down, and move horizontally left and right; point your index finger downward; and cross your hands in front of your chest and then quickly swing up and down. Common gestures are entered into the library and given corresponding operation meanings, such as pause, indicate the location of equipment failure, confirm that the operation is complete, request assistance, etc.

[0060] When the operator makes the above gesture, the camera quickly captures the image and transmits it to the control system. The control system completes image recognition within 1 second, compares the gesture model library, and interprets the meaning of the gesture. If it is recognized as a pause gesture, the system immediately pauses the output of voice control commands, stops the current loading process, and waits for further instructions from the operator; if it is a gesture indicating the location of the equipment fault, the system automatically records the fault location information, notifies the maintenance personnel, and displays relevant troubleshooting suggestions on the operator terminal, achieving efficient human-computer interaction, broadening the communication channels between the operator and the control system, and improving operational convenience and emergency handling capabilities.

[0061] According to another embodiment of the present invention, noise monitoring sensors are installed at various key locations in the SMT loading workshop. These sensors use high-precision acoustic measurement technology, can collect environmental noise data in real time, and transmit the data to the control system. The control system has a built-in noise classification algorithm, according to the set noise standard: when the received noise value is greater than or equal to 80 decibels, the system determines that the current environment is high noise; when the noise is greater than or equal to 50 decibels, but less than 80 decibels, it is considered medium noise; when the noise is less than 50 decibels, it is classified as low noise. The noise level judgment is updated every second so that the system can adjust the voice control command output strategy in time according to different noise environments to ensure that the operator can accurately receive instructions in a suitable voice prompt environment.

[0062] According to another embodiment of the present invention, the control system pre-sets the normal volume to 60 decibels. This volume is an appropriate volume in a low-noise environment and has been tested many times to ensure that the operator can hear the voice command clearly and comfortably. For the repetition frequency of voice control commands, they are divided into critical commands, urgent commands and non-critical commands according to the urgency of the commands. Critical commands are related to key nodes in the production process, such as the final confirmation step of material loading. The regular repetition frequency is set to be repeated every 3 minutes to ensure that the operator will not forget; urgent commands are used to respond to sudden emergencies, such as when the equipment is about to fail and needs emergency shutdown, and the repetition frequency is repeated every 1 minute to urge the operator to respond quickly; non-critical commands, such as some daily equipment status prompts, are repeated every 10 minutes to avoid excessively frequent information interfering with the operator's operation and to reasonably allocate the operator's attention resources.

[0063] During the production process, the control system dynamically adjusts the volume and repetition frequency based on the real-time monitoring of the ambient noise level and the interaction between the operator and the control system. For example, in a low-noise environment, if the operator requests to repeat a certain instruction many times, it means that the attention may be distracted, and the system will increase the volume of the voice instruction by one level, about 5 decibels; in a medium-noise environment, according to the degree of noise interference, the volume is appropriately increased, such as 5 to 10 decibels, and the repetition frequency is increased proportionally; in a high-noise environment, the volume is reduced, such as 5 to 10 decibels, to avoid auditory fatigue and reduce the repetition frequency, and auxiliary reminder measures are activated at the same time to ensure the effective transmission of instructions.

[0064] According to another embodiment of the present invention, indicator lights are installed at key parts of the equipment on the SMT production line, such as around each loading position. Under normal circumstances, the indicator light maintains a luminous flux of 50 to 60 lumens and is always green. This brightness can ensure that the operator can easily notice it under normal light conditions, but it will not be too glaring to cause visual interference. The green light indicates that the equipment is in normal standby mode, allowing the operator to understand at a glance that the overall operation of the production line is stable, without additional attention, and to perform the operation at hand with peace of mind.

[0065] When materials need to be loaded, the control system triggers the loading reminder status command, and the indicator light corresponding to the loading position flashes 15 times per minute, the light color changes to yellow, and the flashing rhythm is 1 second long and 2 seconds off. This flashing frequency and rhythm design can attract the operator's attention without causing visual fatigue due to too fast flashing. The yellow light conspicuously reminds the operator that there is a material loading task to be done here. The operator can quickly locate the position where the operation is required based on the flashing indicator light, thereby improving the loading efficiency.

[0066] When the system determines that the feeding status is urgent, such as the shortage of key materials that will affect the continuous operation of the production line, or the equipment suddenly fails and needs to complete the feeding of specific materials in a short time to restart and repair, the control system immediately sends a command to the corresponding indicator light. The indicator light quickly switches to ultra-high-speed flashing mode, flashing 60 times per minute, the light is bright red, and it goes out for 0.5 seconds after every 5 flashes. With a very impactful visual effect, it strongly attracts the attention of the operator in a noisy environment or when the operator is busy, so that he or she can know the urgent feeding needs at the first time and respond to the operation quickly.

[0067] Experimental data: Two SMT production lines were selected. Production line A was used as the experimental group, and the above-mentioned complete SMT material feeding error prevention method was adopted; production line B was used as the control group, and the traditional feeding operation process was adopted, relying only on the operator to manually check the material information and operate based on experience, without intelligent database assistance and environmental adaptive control. The two production lines were kept consistent as much as possible in terms of equipment model, operator skill level, and product type to ensure the comparability of the experimental results.

[0068] During the one-month experimental period, two production lines simultaneously carried out SMT patch production tasks for the same electronic products. Key indicators of the production lines were recorded every day, including the number of loading errors, downtime caused by material problems, production efficiency (the number of qualified products produced per hour), and the operator feedback on the ease of operation score (full score 10 points).

[0069] Experimental results: Production line A: The comprehensive operator score reached 7~8 points, the voice control instructions were clear and easy to understand, the environment adaptive adjustment was considerate, the database assisted in reducing the memory burden, and the overall operation was smooth and easy.

[0070] Production line B: Operator scores are generally between 3 and 4 points. Manual operations are cumbersome, checking materials is prone to errors, communication is difficult in a noisy environment, and the work intensity and psychological pressure are high.

[0071] Production line A using this SMT material feeding error prevention method performs better than production line B using traditional operation in all aspects. This method effectively reduces the feeding error rate, reduces material-related downtime, improves production efficiency, and improves the operator's operating experience, which has practical value and promotion significance.

[0072] The present invention further claims protection for a material feeding system of the SMT material feeding error prevention method, comprising: A loading module, which sequentially retrieves corresponding materials according to the loading position information in the material loading information database, and issues voice control instructions to load materials according to the corresponding loading positions; at the same time, it receives and identifies the interaction information between the operator and the control system, and adjusts the voice control instructions according to the interaction information; and controls the volume of the voice control instructions according to the noise level of the operating environment, the interaction frequency and content between the operator and the control system.

[0073] In the above-mentioned material feeding system, a high-precision and high-stability SMT feeder is selected as the core equipment of the feeding module. The device has the ability to accurately locate and grab materials, and can quickly and accurately take materials according to the feeding position information. At the same time, it is equipped with a high-performance voice playback device for issuing voice control instructions. The voice playback device is required to have clear sound quality and a wide adjustable volume range to adapt to different operating environments. At the same time, multiple noise sensors are reasonably distributed in the SMT production workshop to monitor the noise level of the operating environment in real time; the noise sensor transmits the collected noise data to the control system of the feeding module so that the system can adjust the volume of the voice control command according to the noise situation; the operator is equipped with an operation terminal to facilitate the operator to interact with the control system. The operation terminal is connected to the control system of the feeding module through a wired or wireless network to ensure the stability and timeliness of data transmission.

[0074] Develop a control system for the feeding module based on a programmable logic controller (PLC) or an industrial control computer. The control system has at least the following functions: 1. According to the feeding position information in the material feeding information database, send control instructions to the material grabbing device so that it can take the corresponding materials in sequence; 2. Generate voice control instructions according to the feeding task, and adjust the voice instructions according to the interaction information between the operator and the control system. For example, when the operator chooses to skip a feeding step, the control system promptly modifies the content of the voice instruction; 3. Receive the ambient noise data from the noise sensor, and automatically adjust the volume of the voice control instruction in combination with the interaction frequency and content between the operator and the control system. When the ambient noise is large, increase the volume appropriately; when the interaction frequency is high and the content involves important operation prompts, increase the volume to ensure that the operator can hear clearly; 4. Receive and identify the interaction information entered by the operator through the operation terminal, parse and process the information, and perform corresponding operations according to the processing results, such as adjusting the feeding order, pausing feeding, etc.

[0075] The control system of the feeding module controls the material grabbing device to start taking materials in sequence according to the feeding position information in the material feeding information database. While taking materials, the voice playback device issues voice control instructions, such as "Please place material A at feeding position 1". The operator performs the feeding operation according to the voice instructions; during the operation, the operator can interact with the control system through the operation terminal. For example, when the operator finds that there is a quality problem with the material, he can enter the relevant information on the operation terminal and submit it. After receiving the interactive information, the control system immediately suspends the feeding operation, adjusts the voice control instructions, and prompts the operator to deal with the problem, such as "Material quality problem is detected, please check material A, and press the confirmation key to continue after the processing is completed"; The noise sensor monitors the noise level of the operating environment in real time and transmits the data to the control system. The control system dynamically adjusts the volume of the voice control instructions based on the noise data and the frequency and content of the interaction between the operator and the control system. For example, when the operating environment is in low noise, the control system outputs voice control instructions at a normal volume and a regular repetition frequency. If it is detected at the same time that the operator requests the control system to issue repeated voice control instructions for many times, the control system increases the volume level by one to output the voice control instructions. When the operating environment is in medium noise, the control system outputs voice control instructions at a volume one volume level higher than the normal volume and at a repetition frequency 30-50% higher than the regular repetition frequency. If it is detected at the same time that the operator requests the control system to issue repeated voice control instructions for many times, the control system increases the volume level by another to output the voice control instructions. When the operating environment is in high noise, the control system outputs voice control instructions at a volume one volume level lower than the normal volume and at a repetition frequency 50-60% lower than the regular repetition frequency, and simultaneously sends a flashing indicator light instruction to the operator.

[0076] In one of the technical solutions, the material feeding system further includes: The material preparation module confirms the material and material position information by scanning the barcode set on the material, and compares it with the material information and loading position information recorded in the SMT material loading database to determine whether the materials are complete, and marks the common materials in multiple operation processes; and supplies the complete materials to the loading module for use; A checking module, which further scans the barcode set on the material and checks the accuracy of the material loading according to the voice and / or text control instructions issued by the feeding module; The material replacement module is used to scan the barcode set on the replaced material to bind the replaced material with the loading personnel and material station information when there is a shortage of material at the loading module.

[0077] The above-mentioned material feeding system at least includes a material preparation module, a feeding module, a verification module and a material changing module that cooperate with each other. The material preparation module confirms the material and station information by scanning the barcode, and compares it with the SMT material feeding database to determine whether the materials are complete, thereby improving the accuracy and efficiency of material preparation, avoiding production delays caused by missing or incorrect materials, and reducing production costs; at the same time, marking common materials in multiple operation processes saves preparation time and improves the operating efficiency of the operation process; in addition, supplying complete sets of materials to the feeding module ensures the smooth progress of the feeding link, makes the production process smoother, and improves the overall production efficiency. The feeding module can accurately and sequentially take the corresponding materials according to the feeding position information in the material feeding information database; the precise operation greatly reduces the problems of misplacing or missing materials, avoids product quality defects or equipment failures caused by material feeding errors, effectively improves the product qualification rate and reduces the defective rate; in the production of electronic products, even a small material placement error may cause product function abnormality, and the precise operation of the feeding module ensures the stability of product quality; at the same time, the orderly material taking method speeds up the feeding speed, shortens the production cycle, and significantly improves production efficiency. The voice control instructions issued by the feeding module provide the operator with clear and definite operation instructions, especially in a complex SMT production environment. Compared with simple visual instructions, voice instructions can attract the operator's attention, enable them to respond correctly quickly, and reduce operational errors; the operator can receive instructions through hearing while both hands are busy operating the material, realize multi-tasking parallelism, and further improve work efficiency; the module can receive and identify the interaction information between the operator and the control system, and adjust the voice control instructions accordingly. When the operator reports that a certain material is difficult to load or has problems, the module can adjust the instructions in time, provide more targeted solutions, realize intelligent interaction between man and machine, and improve the flexibility and accuracy of operation. The loading module automatically controls the volume of voice control instructions according to the noise level of the operating environment, ensuring that the operator can still clearly hear the content of the instructions in a noisy production workshop; whether in the continuous noise environment generated by the operation of the equipment or in the scene where the workshop personnel communicate frequently, the loading module can intelligently adjust the volume so that the voice instructions are always clear and audible, avoiding the poor transmission of instructions due to environmental noise interference, and reducing the risk of operating errors due to unclear instructions; the volume is adjusted in combination with the interaction frequency and content between the operator and the control system, and the volume is increased for important operation prompts or frequent interaction links to attract the operator's attention; in ordinary operation links, maintaining an appropriate volume will not affect the operator's work, but can also reasonably use audio resources, optimize the effect of voice prompts, and improve the overall operation experience.The verification module further scans the barcode to verify the accuracy of material loading according to the control instructions issued by the loading module, providing double protection for material loading; effectively reducing the occurrence of material loading errors, avoiding product quality problems or equipment failures caused by loading errors, improving the product qualification rate, reducing the defective rate, and enhancing the market competitiveness of the enterprise. When the material replacement module is out of material, it scans the barcode of the replacement material and binds it with the loading personnel and material station information to achieve accurate recording and management of the material replacement process; it helps to trace the use of materials and the person responsible, and facilitates the timely discovery and resolution of problems that arise during the material replacement process, improves the refinement of production management, and ensures the continuity and stability of production.

[0078] In the above-mentioned material feeding system, the feeding module interacts with the material preparation module, the checking module and the material change module in real time, realizing the comprehensive monitoring and management of the material feeding process. It obtains the complete set of material information from the material preparation module to ensure that the materials used are accurate; cooperates with the checking module to receive the material check results in time, and can quickly adjust if errors are found; when the material change module changes materials, the material and station information are updated synchronously to ensure the real-time and accuracy of production data. Through these data interactions, production management personnel can grasp the progress, quality and other key information of material feeding in real time, which is convenient for timely discovery of potential problems and intervention, optimize production processes, and improve the refinement of production management and the scientific nature of decision-making. The material preparation module, the checking module and the material change module work together with the feeding module to build a complete, efficient and accurate material feeding system; the modules cooperate and supervise each other, which improves the accuracy, efficiency and stability of material feeding on the SMT production line, reduces errors and delays in the production process, and improves product quality and production management level.

[0079] In one of the technical solutions, the method for marking common materials in multiple operation processes in the material preparation module is as follows: B1. When setting the material barcode, assign a unique ID to each material and associate it with the SMT material loading database; B2. When the material preparation module scans the barcodes set on all materials in the first operation process, the ID set of all materials in the first operation process is recorded and retained; when the material preparation module scans the barcodes set on all materials in the second operation process, the ID set of all materials in the second operation process is recorded and retained; B3. Combine the ID set of all materials in the first operation flow and the ID set of all materials in the second operation flow, and mark the materials with a record element quantity greater than 1 as shared materials.

[0080] The method for marking common materials in multiple operation processes in the material preparation module provided by the present invention has good system compatibility, can be seamlessly connected with the existing SMT material loading database and other production management systems, and realizes accurate identification and management of materials by assigning a unique ID to each material and associating it with the SMT material loading database; when scanning the material barcode in the operation process, the material preparation module can accurately record the material ID set of each process; this identification method based on a unique ID avoids confusion caused by similar material names and specifications, and ensures that the marking of common materials is accurate; after accurately identifying common materials, material preparation time is saved and the operating efficiency of the operation process is improved. Quickly and accurately marking common materials can make the material preparation link more efficient. When preparing materials, staff can quickly screen out materials required by multiple operation processes, prepare and distribute them in advance, and reduce the time and workload of repeated material preparation. In the case of parallel production of multiple products, production stagnation caused by untimely material supply can be avoided, production continuity is guaranteed, and overall production efficiency is improved. The production line can quickly switch product production and reduce waiting time.

[0081] The number of devices and processing scales described here are used to simplify the description of the present invention. Applications, modifications and variations of the present invention will be obvious to those skilled in the art.

[0082] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes, and they can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and the illustrations shown and described herein.

Claims

1. The SMT material feeding error prevention method is characterized by: include: S1. Build a database, which includes an SMT material loading database, loading operation specification data, and a voice control instruction database; S2. The control system issues a voice control command according to the information in the database; S3, the control system receives and identifies the interaction information between the operator and the control system, and adjusts the voice control instruction according to the interaction information; The control system also collects noise from the operating environment and controls the volume of the voice control command according to the noise level of the operating environment, the frequency and content of interaction between the operator and the control system: When the operating environment is low-noise, the control system outputs voice control instructions at a normal volume and regular repetition frequency. If it is detected that the operator requests the control system to issue repeated voice control instructions multiple times, the control system increases the volume level to output the voice control instructions. When the operating environment is in medium noise, the control system outputs voice control instructions at a volume level higher than the normal volume and a repetition frequency 30-50% higher than the normal repetition frequency. If it is detected that the operator requests the control system to issue repeated voice control instructions multiple times, the control system will increase the volume level and output the voice control instructions; When the operating environment is in high noise, the control system outputs voice control instructions at a volume one level lower than the normal volume and a repetition frequency 50-60% lower than the normal repetition frequency, and at the same time sends flashing indicator light instructions to the operator.

2. The SMT material feeding error prevention method according to claim 1, characterized in that: The SMT material loading database described in S1 includes: A material set information database, which includes material information, material source and batch information, material quantity information, and information on the relationship between materials; and A material loading information database, which includes loading history information, loading performance information associated with the source and batch information of the material, loading location information, and loading time information, and the material loading information database is associated with the material complete set information database; The material loading operation specification database includes a material loading operation specification database, which includes a personnel qualification and training record database, a material unpacking process and inspection process database, a standard operating process database for equipment operation and maintenance, an equipment daily maintenance plan database, a material loading process operation specification database, and a safety and emergency operation procedure database; The voice control instruction database includes: A check information control instruction set, which includes a check material information instruction and a check material quantity instruction; Execute the material loading operation instruction set, which includes executing material loading operation instructions, operation specific procedure instructions, and repeat instructions.

3. The SMT material feeding error prevention method according to claim 2, characterized in that: The method for constructing the material complete set information database includes: A1. Collect the operating data of SMT production lines in the past three years, including the capacity utilization rate, component applications, order delivery cycle, and the impact of market fluctuations on the supply of key components in each season and at specific time points, and establish a production database based on the operating data; A2. Calculate the consumption rate of each component of the product line based on the production database and simulate the annual change curve of the consumption rate of each component; A3. Build an overall dynamic threshold model for all required components in the product line; A4. Construct a material complete set information database based on the dynamic threshold model.

4. The SMT material feeding error prevention method according to claim 3, characterized in that: When the material loading information database is associated with the material completeness information database, if the material loading information database receives the source and batch information of the material from the material completeness information database, it performs verification based on its own recorded loading history information and the loading performance information associated with the source and batch information of the material. If the loading performance information is found to be abnormal, an early warning is issued; if the material completeness information database receives the loading time information from the material loading information database that is less than a threshold value A, the loading position information and the loading time information in the material loading information database are verified for rationality based on the material information, the quantity information of the material, and the association relationship information between the materials.

5. The SMT material feeding error prevention method according to claim 4, characterized in that: It also includes regularly updating the dialect voice packages of the voice control instruction library online, and automatically switching to the corresponding dialect voice package according to the dialect recognition result when the operator uses the voice instruction for the first time.

6. The SMT material feeding error prevention method according to claim 5, characterized in that: S3 also includes analyzing the operator's voice, intonation, speaking speed, and timbre, and judging the operator's emotional state in real time. For example, if negative emotions are identified, the control system selects the relatively short instructions in the voice control command database to issue.

7. The SMT material feeding error prevention method according to claim 1, characterized in that: The noise level determination criteria for the operating environment are as follows: If the noise is greater than or equal to 80 decibels, it is considered high noise; If the noise level is greater than or equal to 50 decibels, but less than 80 decibels, it is considered medium noise; If the noise is less than 50 decibels, it is low noise; The normal volume is 60 decibels; The voice control instructions are divided into key instructions, urgent instructions and non-key instructions, wherein the regular repetition frequency of key instructions is once every 3 minutes, the regular repetition frequency of urgent instructions is once every minute, and the regular repetition frequency of non-key instructions is once every 10 minutes.

8. A material feeding system based on the SMT material feeding error prevention method according to any one of claims 1 to 7, characterized in that: include: A loading module, which sequentially retrieves corresponding materials according to the loading position information in the material loading information database, and issues voice control instructions to load materials according to the corresponding loading positions; at the same time, it receives and identifies the interaction information between the operator and the control system, and adjusts the voice control instructions according to the interaction information; and controls the volume of the voice control instructions according to the noise level of the operating environment, the interaction frequency and content between the operator and the control system.

9. The material feeding system according to claim 8, characterized in that: Also includes: The material preparation module confirms the material and material position information by scanning the barcode set on the material, and compares it with the material information and loading position information recorded in the SMT material loading database to determine whether the materials are complete, and marks the common materials in multiple operation processes; and supplies the complete materials to the loading module for use; A checking module, which further scans the barcode set on the material and checks the accuracy of the material loading according to the voice and / or text control instructions issued by the feeding module; The material replacement module is used to scan the barcode set on the replaced material to bind the replaced material with the loading personnel and material station information when there is a shortage of material at the loading module.

10. The material feeding system according to claim 9, characterized in that: The method of marking common materials in multiple operation processes in the material preparation module is as follows: B1. When setting the material barcode, assign a unique ID to each material and associate it with the SMT material loading database; B2. When the material preparation module scans the barcodes set on all materials in the first operation process, the ID set of all materials in the first operation process is recorded and retained; when the material preparation module scans the barcodes set on all materials in the second operation process, the ID set of all materials in the second operation process is recorded and retained; B3. Combine the ID set of all materials in the first operation flow and the ID set of all materials in the second operation flow, and mark the materials with a record element quantity greater than 1 as shared materials.

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