A process method for automatically weighing and determining and distributing the wire after coiling

Abstract

The application provides a process method for automatic weighing, determining and distributing of electric wire after coiling. The method is realized based on integrated power roller scale, multi-channel weighing sensor, programmable logic controller and industrial man-machine interface, solves the problems of weight detection lag of coiled product, low coverage of sampling inspection, easy error of manual distribution and difficult data traceability in the prior art through the full-automatic closed-loop control process of "parameter presetting and formula management-product in-place detection and dynamic stabilization-multi-sampling point adaptive filtering weighing-intelligent qualifiedness determination-forward and reverse automatic distribution-full-link data traceability". The application adopts servo-driven forward and reverse roller to realize zero-delay distribution, combines sliding window filtering algorithm and dynamic weight compensation technology, improves detection accuracy, reduces detection time consumption, reduces the missed detection rate of coiled product, significantly improves the yield and production efficiency, and has the advantages of high detection accuracy, fast response speed and easy popularization and implementation.

Description

Technical Field

[0001] This invention relates to the field of quality control technology in wire and cable production, specifically to a process method for automatic weighing, determination, and diversion of wires after coiling. Background Technology

[0002] In the production of wires and cables, the coiling process is a crucial step in winding finished cables into spools or coils according to a set length for easy packaging and transportation. The weight of the coiled product directly corresponds to its actual length; a weight deviation exceeding the allowable range usually indicates quality problems such as insufficient length, broken wire, or abnormal packaging.

[0003] Currently, conventional coiling equipment in the industry only has basic conveying and winding functions, lacking effective online full-length inspection methods to ensure that the coiled product meets the nominal length. Product quality is mainly controlled through manual sampling or offline individual weighing, which has the following significant shortcomings: 1. Lack of online inspection methods: After the product is formed, it is impossible to achieve 100% weight inspection. Products with insufficient weight due to missing thread or broken thread are easy to be mixed into the finished product, which affects customer trust and corporate reputation. 2. Low testing efficiency: Relying on manual periodic sampling or offline handling to weighing on a platform scale significantly increases auxiliary time and labor costs, and interrupts production continuity; 3. High risk of non-conforming products leaving the factory: Products whose weight does not meet the process requirements cannot be identified and removed in a timely manner, causing significant quality risks; 4. Inconvenient data management: The lack of automatic storage and retrieval function for weight parameters corresponding to different cable models and specifications makes it impossible to achieve intelligent weight range control and production data traceability, which is difficult to meet the quality control requirements of modern factories.

[0004] Although a few companies have tried to install weighing equipment at the end of the coiling production line, they generally suffer from problems such as low weighing accuracy, slow response speed, and inability to achieve automatic diversion. Moreover, most of them adopt static weighing methods, which require the products to be completely still before they can be tested, which seriously affects production efficiency.

[0005] Therefore, there is an urgent need for an integrated process method that combines online weighing, dynamic judgment, and automatic diversion to solve the problems of lack of weight control, detection lag, and difficulty in diversion of coiled products in the existing technology. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a process method for automatic weighing, judgment and diversion of wires after coiling. This method can realize online automatic weighing, real-time judgment of product qualification based on preset weight range, and automatic diversion by driving the roller to rotate forward / reverse according to the judgment result. This significantly improves the quality control accuracy, detection efficiency and intelligent management level of cable production.

[0007] The objective of this invention is achieved through the following technical solution: A process for automatically weighing, determining, and separating electrical wires after coiling includes the following steps: S1. Parameter Configuration and Recipe Management: Pre-store the standard weight values ​​and allowable tolerance ranges corresponding to different wire and cable models and specifications as independent product recipes; during production, call up the weight parameters corresponding to the current production model according to the input command. S2. Product arrival detection: Receives a product arrival signal from the inlet through-beam photoelectric sensor to confirm that the product has fully entered the weighing area; S3. Dynamic stability control: Sends a command to the drive unit of the power drum to decelerate to 0.03-0.08m / s or stop completely; S4. Weight data acquisition: Receive weight data synchronously acquired from at least three evenly distributed high-precision weighing sensors; S5. Adaptive Filtering and Dynamic Compensation: The raw weight data is processed using a sliding window filtering algorithm. After removing outliers, the average value is calculated. Three-dimensional dynamic weight compensation is performed based on product position, roller speed and ambient temperature to obtain the final measured weight. S6. Intelligent pass / fail judgment: The final measured weight is compared with the preset standard weight range to generate a pass or fail judgment signal; S7. Automatic diversion control: Based on the judgment signal, a corresponding rotation command is sent to the drive device of the power roller: if the judgment is qualified, a forward rotation command is sent; if the judgment is unqualified, a reverse rotation command is sent and a light and sound alarm signal is triggered. S8. Data Recording and Quality Traceability: Record and store the model, measured weight, judgment result, production timestamp and equipment number information of each product, and generate exportable quality reports.

[0008] In some feasible embodiments, in step S1, the number of product formulas stored is ≥200 sets, and the tolerance range is independently adjustable between ±5g and ±150g. Each formula also includes corresponding roller drive delay, forward and reverse rotation speed and stabilization time parameters.

[0009] In some feasible embodiments, in step S2, the product is confirmed to have fully entered the weighing area and the subsequent process is started only when the continuous obstruction signal of the inlet through-beam photoelectric sensor is received for ≥0.5 seconds.

[0010] In some feasible embodiments, in step S5, the sliding window filtering algorithm specifically involves: continuously collecting 10-20 sets of weight data, removing one maximum value and one minimum value, and then calculating the arithmetic mean of the remaining data; at the same time, automatically adjusting the sampling frequency according to the product weight, with a lower sampling frequency for larger weights.

[0011] In some feasible embodiments, in step S5, the calculation formula for the three-dimensional dynamic weight compensation is: Wcorrected = Wmeasured + K1×(P-P0) + K2×(V-V0) + K3×(T-T0) Wherein, Wcorrected is the final measured weight after correction, Wmeasured is the average weight after filtering, K1 is the position compensation coefficient, P is the actual position of the product on the roller, P0 is the standard center position, K2 is the speed compensation coefficient, V is the actual rotational speed of the roller, V0 is the standard stable rotational speed, K3 is the temperature compensation coefficient, T is the ambient temperature, and T0 is the standard calibration temperature.

[0012] In actual implementation, the above compensation coefficients K1, K2, and K3 can be obtained through standard weight calibration experiments: under standard center position P0, standard stable speed V0, and standard calibration temperature T0, a standard weight of known weight is measured, and each compensation coefficient is obtained by fitting multiple sets of experimental data.

[0013] In some feasible embodiments, in step S7, the power roller is driven by a servo motor, with a forward / reverse switching response time ≤ 0.2 seconds, a forward conveying speed of 0.15-0.3 m / s, and a reverse conveying speed of 0.2-0.4 m / s.

[0014] In some feasible embodiments, step S7 further includes an anti-mixing verification step: receiving counting signals from the qualified product exit counting sensor and the defective product exit counting sensor, comparing the sum of the two with the number of products detected by weighing, and if the numbers are inconsistent, triggering a system alarm and sending a production line stop signal.

[0015] In some feasible embodiments, step S8 also includes a real-time statistical analysis step: automatically calculating the pass rate, the non-conforming rate and the proportion of various non-conforming reasons, and generating an SPC control chart; when three non-conforming products are detected consecutively within a preset unit time (exemplarily, 1 min, 2 min, 3 min), an automatic stop signal is sent to the upstream coiling machine.

[0016] The present invention also provides an automatic weighing and current-dividing device for coiled wires to implement the above-mentioned process, comprising: The recipe management module is used to store and retrieve recipes with weight parameters corresponding to different wire and cable models; The signal receiving module is used to receive various input signals from photoelectric sensors, weighing sensors, and temperature sensors; The data processing module is used to filter and dynamically compensate the collected weight data. The logic judgment module is used to compare the processed weight data with preset standards and generate a pass / fail judgment signal. The command output module is used to send control commands to the power roller drive device, the audible and visual alarm module, and the upstream coil forming machine. The data storage and analysis module is used to record production data, generate quality reports, and perform statistical analysis.

[0017] In some feasible embodiments, the device employs a Siemens S7-1200 series PLC or an equivalent embedded industrial controller, equipped with a 7-inch color industrial touchscreen as a human-machine interface.

[0018] More specifically, after the system is powered on, the PLC completes a self-test and loads default parameters. Operators input the current wire and cable model being produced via an industrial touchscreen, and the recipe management module retrieves preset parameters from the storage unit, including the standard weight value, allowable tolerance range, roller drive delay, forward and reverse rotation speed, and settling time for the corresponding model. The system supports the simultaneous storage of no fewer than 200 independent product recipes, meeting the flexible production needs of multiple varieties and small batches.

[0019] The coiled wire is transported from the upstream coiling machine to the entrance section of this device. When the through-beam photoelectric sensor at the entrance detects the product entering, timing begins. Only when the sensor outputs a continuous obstruction signal for 0.5 seconds or more does the system determine that the product has fully entered the weighing area, effectively avoiding false triggering due to product tilting or partial entry, and ensuring the accuracy of subsequent weighing data.

[0020] Once the system confirms the product is in place, it sends a deceleration command to the servo drive of the powered roller, reducing the roller speed from the normal conveying speed to 0.03-0.08 m / s or stopping it completely, thus maintaining the product's stability within the weighing area. This step reduces the product's inertial impact and vibration, creating conditions for high-precision weight data acquisition.

[0021] The data processing module first preprocesses the raw weight data using a sliding window filtering algorithm: 10-20 sets of weight data are continuously collected, one maximum and one minimum value are removed, and the arithmetic mean of the remaining data is calculated, effectively filtering out random noise and instantaneous interference. Simultaneously, the system corrects the filtered average weight based on the product's actual position on the roller, the roller's actual rotation speed, and the ambient temperature using a preset three-dimensional dynamic compensation formula. This compensation mechanism addresses measurement errors caused by positional deviations, residual vibrations, and changes in ambient temperature during dynamic weighing.

[0022] The logic judgment module compares the corrected final measured weight with the preset standard weight range. If the measured weight is within the allowable tolerance range, the product is judged as qualified; otherwise, it is judged as unqualified.

[0023] The instruction output module sends corresponding control instructions to the power roller servo drive device according to the judgment result: when the product is qualified, the roller rotates forward at a speed of 0.15-0.3m / s to transport the product to the qualified product collection area; when the product is unqualified, the roller rotates in reverse at a speed of 0.2-0.4m / s to transport the product to the defective product collection area, and at the same time triggers the light and sound alarm signal.

[0024] The system simultaneously receives signals from the exit counting sensors for qualified and defective products, and compares the sum of these counts with the total number of products weighed in real time. If the quantities are inconsistent, the system immediately triggers an alarm and sends a production line stop signal to prevent qualified and defective products from being mixed.

[0025] The data storage and analysis module automatically records the model, measured weight, judgment result, production timestamp, and equipment number information for each product, generating exportable quality reports in Excel or CSV format. The system also calculates the pass rate, fail rate, and percentage of various reasons for non-conformity in real time, generating an SPC control chart. When three non-conforming products are detected consecutively within a preset time unit (for example, 1 min, 2 min, 3 min), the system automatically sends a stop signal to the upstream coiling machine to prevent the generation of batches of non-conforming products.

[0026] In actual implementation, the defective product sorting mechanism is equipped with multiple defective product sorting channels. Users can transport defective products to different collection areas according to the type of non-conformity (such as being too light, too heavy, or other defects). The mechanism consists of multiple pneumatic push rods and corresponding conveying channels, which can realize the classified collection of defective products, facilitating subsequent rework and processing.

[0027] In actual implementation, emergency stop buttons are installed at the inlet, outlet, and operating side of the device, and safety light curtains are installed in the hazardous areas of the device. When an operator enters a hazardous area or presses the emergency stop button, the system immediately cuts off all power supply and stops the operation of all moving parts to ensure the personal safety of the operator.

[0028] Compared with the prior art, the present invention has the following beneficial effects: This invention provides a process for automatic weighing, judgment, and diversion of coiled wires. The method is based on an integrated powered roller scale, multi-channel weighing sensors, a programmable logic controller (PLC), and an industrial human-machine interface. Through a fully automated closed-loop control process—parameter preset and formula management—product arrival detection and dynamic stabilization—multi-sampling point adaptive filtering weighing—intelligent qualification judgment—automatic forward and reverse diversion—end-to-end data traceability—it solves the problems of delayed weight detection, low sampling coverage, error-prone manual diversion, and difficult data traceability in existing technologies. This invention uses servo-driven forward and reverse rollers to achieve zero-delay diversion, combined with a sliding window filtering algorithm and dynamic weight compensation technology, to improve detection accuracy, reduce detection time, and lower the missed detection rate of coiled products, significantly improving yield and production efficiency. It has the advantages of high detection accuracy, fast response speed, and ease of implementation.

[0029] Specifically, the present invention has the following beneficial effects: 1. Low rate of missed inspection: The product is weighed and judged online after the coil is formed, which effectively prevents unqualified products such as insufficient length and broken thread from flowing out, and upgrades the quality control from sampling inspection to full coverage; 2. Significantly improved production efficiency: Fully automated online detection and sorting eliminates the need for manual handling or offline weighing. The single-piece inspection cycle is ≤2.5 seconds, and the overall efficiency is more than 90% higher than manual sampling, ensuring continuous high-speed operation of the production line. 3. High detection accuracy and good stability: By adopting multi-sensor fusion technology and adaptive filtering algorithm, combined with dynamic weight compensation, the weighing accuracy reaches ±5g, which is far higher than the industry standard. 4. High degree of intelligence and flexible production: The system can store the weight standards of more than 200 cable models, which can be recalled with one click. Switching products does not require mechanical adjustment and it is suitable for multi-variety mixed-line production. 5. Automatic physical separation to prevent mixing: Servo-driven rollers rotate in both directions to automatically separate qualified and defective products, with a response time of ≤0.2 seconds, avoiding the risk of human error and mixing. 6. Data-driven quality traceability: Automatically records detailed quality information for each product, supports data export and statistical analysis, generates SPC control charts, and provides a reliable data foundation for process optimization and quality analysis; 7. Low implementation cost and easy to promote: It can be directly connected to existing production lines without the need for large-scale modification of existing equipment, with a short investment recovery period and significant economic benefits. Attached Figure Description

[0030] Figure 1 This is an overall flow chart of the process method for automatic weighing, judgment and current diversion of wires after coiling according to this application; Figure 2This is a schematic diagram of the interaction between various modules in the process method of automatic weighing and current division of wires after coiling according to this application. Figure 3 This is a flowchart of the dynamic weighing and compensation algorithm for the process of automatic weighing and current diversion of wires after coiling, as described in this application. Detailed Implementation

[0031] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0032] like Figure 1-3 As shown, this invention discloses a process method for automatic weighing, judgment and diversion of coiled wires. It is based on an integrated power roller scale, a multi-channel weighing sensor, a programmable logic controller and an industrial human-machine interface. The online weighing, qualification judgment and automatic diversion of coiled products are completed through a fully automatic closed-loop control process. Example 1

[0033] This embodiment uses WDZC-BYJ1×2.5mm wire from a certain wire manufacturing workshop. 2 Taking a cable coiling production line as an example, this paper describes in detail the specific implementation process of this technology.

[0034] Hardware configuration: Programmable Logic Controller: Siemens S7-1214CPLC, equipped with a 7-inch color industrial touch screen; Input peripherals: 1 inlet through-beam photoelectric sensor, 3 high-precision weighing sensors (accuracy ±5g), 1 qualified product outlet counting sensor, 1 defective product outlet counting sensor, 1 ambient temperature sensor; Output peripherals: 1 0.4kW servo motor driver, 1 audible and visual alarm module, 1 upstream coil forming machine control interface; Powered roller scale: length 800mm, width 500mm, maximum weighing capacity 50kg, roller surface covered with a 3mm thick rubber layer.

[0035] Preset process parameters: Product model: WDZC-BYJ1×2.5mm 2 Standard weight: 3.050kg (including packaging accessories); Allowable tolerance: ±20g (i.e., acceptable range 3.030kg-3.070kg); Roller stable speed: 0.05m / s; Forward conveying speed: 0.2m / s; Reverse conveying speed: 0.3m / s; Number of samplings: 15; Position compensation coefficient K1: 0.002kg / mm; Speed ​​compensation coefficient K2: 0.01kg / (m / s); Temperature compensation coefficient K3: 0.0005kg / ℃; Standard calibration temperature T0: 25℃.

[0036] Specific steps for PLC execution: 1. Parameter calling and system startup: The operator selects the current production model "WDZC-BYJ1×2.5" on the touchscreen. The PLC then retrieves all pre-stored process parameters from the formula management module based on the input command. After confirming that the parameters are correct, the operator clicks the "Start" button, and the PLC enters standby mode.

[0037] 2. Product arrival inspection: After the cable is wound at 100 meters per turn by the coiling machine, it is fed into the power roller scale area by the upstream conveyor line. When the front end of the product blocks the inlet through-beam photoelectric sensor, the sensor sends a level signal to the PLC's signal receiving module. After the PLC detects that the continuous obstruction time is ≥0.5 seconds, it confirms that the product has completely entered the weighing area and starts the subsequent process.

[0038] 3. Dynamic stability control: The PLC sends a deceleration command to the servo driver through the instruction output module, controlling the power roller to decelerate to a stable speed of 0.05m / s, and waits for the product to stabilize.

[0039] 4. Weight data collection: The PLC sends synchronous sampling commands to three load cells and receives the weight data returned by the cells. The sampling frequency is 100Hz, and 15 sets of data are collected continuously.

[0040] 5. Adaptive filtering and dynamic compensation: The PLC's data processing module performs sliding window filtering on the 15 sets of raw data collected: removing one maximum value and one minimum value, calculating the arithmetic mean of the remaining 13 sets of data, and obtaining the measured W.

[0041] Meanwhile, the PLC calculates the actual position P of the product on the roller based on the occlusion time of the photoelectric sensor, obtains the actual rotational speed V of the roller through the encoder feedback of the servo driver, and obtains the ambient temperature T through the temperature sensor.

[0042] In actual implementation, the product length L is a preset parameter, and the actual position P = roller speed V × blocking time t + product length L / 2, ensuring that the calculated position is the product's center of gravity. The final measured weight was calculated using the three-dimensional dynamic compensation formula: Wcorrected = Wmeasured + 0.002 × (P - 400) + 0.01 × (V - 0.05) + 0.0005 × (T - 25) The entire data processing took approximately 1.2 seconds.

[0043] 6. Intelligent qualification determination: The PLC's logic judgment module compares the W correction with the preset acceptable range of 3.030kg-3.070kg: Specifically, if 3.030kg ≤ W_corrected ≤ 3.070kg, a "qualified" judgment signal is generated; If W_corrected < 3.030kg or W_corrected > 3.070kg, an "unqualified" judgment signal is generated.

[0044] 7. Automatic sorting control: If the judgment result is qualified, the PLC sends a forward rotation command to the servo driver through the command output module, controls the powered roller to rotate forward at a speed of 0.2m / s, and conveys the product to the qualified product area. After the counting sensor at the qualified product outlet detects the passage of the product, it sends a counting signal to the PLC; If the judgment result is unqualified, the PLC sends a reverse rotation command to the servo driver, controls the powered roller to rotate reversely at a speed of 0.3m / s, and conveys the product to the unqualified product return area. At the same time, it sends an alarm signal to the acousto-optic alarm module, triggering the red warning light to flash and the buzzer to sound. After the counting sensor at the unqualified product outlet detects the passage of the product, it sends a counting signal to the PLC.

[0045] 8. Anti-mixing verification: The PLC compares the number of products subjected to weighing inspection with the sum of counts from the qualified product outlet and the unqualified product outlet. If the two values are consistent, the system continues to operate; if they are inconsistent, the system alarm is triggered immediately and a pause signal is sent to the upstream coiling machine to prevent product mixing or loss.

[0046] 9. Data recording, statistics and analysis: The data storage and analysis module of the PLC automatically records information such as the model, measured weight, judgment result, production timestamp and equipment number of each product, and stores the information in the internal SD card. At the same time, it counts the qualified rate, unqualified product rate and the proportion of various unqualified reasons in real time, and generates an SPC control chart. When 3 unqualified products are detected continuously within a preset unit time (for example, 1min, 2min, 3min), a shutdown signal is automatically sent to the upstream coiling machine.

[0047] Implementation effects: Through 24-hour continuous production test, after adopting the method involved in Example 1, a total of 2560 coiled products were inspected, 14 products with out-of-tolerance weight were detected (including 8 products with insufficient meter length, 4 products with internal wire breakage, and 2 products with packaging error), with a detection rate of 100%, which prevents unqualified products from flowing into the finished product warehouse. The average inspection and sorting time for a single product is about 2.3 seconds, and there is no extra pause on the production line. Compared with the original manual sampling inspection scheme, the efficiency is improved by more than 92%. Example 2

[0048] This example describes the coiling, weighing and sorting of large-specification cables (YJV3×16mm 2 ).

[0049] Process parameters: Standard weight: 15.200kg; Allowable tolerance: ±50g; Roller stabilization method: Complete stop; Stabilization time: 2 seconds; Number of samplings: 20.

[0050] PLC execution process: Once the PLC receives the product arrival signal, it sends a stop command to the servo driver, controlling the powered roller to completely stop rotating. After waiting for 2 seconds for the product to come to a complete stop, the weighing process is restarted. The other steps are the same as in Example 1.

[0051] Implementation results: The weighing accuracy reaches ±10g, and the single-piece testing cycle is about 4.5 seconds, which fully meets the production requirements of large-specification cables.

[0052] In summary, this invention provides a process for automatic weighing, judgment, and diversion of coiled wires. This method is based on an integrated powered roller scale, multi-channel weighing sensors, a programmable logic controller, and an industrial human-machine interface. Through a fully automated closed-loop control process—parameter preset and formula management—product arrival detection and dynamic stabilization—multi-sampling point adaptive filtering weighing—intelligent qualification judgment—automatic forward and reverse diversion—end-to-end data traceability—it solves the problems of delayed weight detection of coiled products, low sampling coverage, error-prone manual diversion, and difficult data traceability in existing technologies. This invention uses servo-driven forward and reverse rollers to achieve zero-delay diversion, combined with a sliding window filtering algorithm and dynamic weight compensation technology, to improve detection accuracy, reduce detection time, and lower the missed detection rate of coiled products, significantly improving yield and production efficiency. It has the advantages of high detection accuracy, fast response speed, and ease of implementation.

[0053] The embodiments provided by the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and core ideas of the present invention. It should be noted that those skilled in the art can make various improvements and modifications to the present invention without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A process for automatically weighing, determining, and dividing electrical wires after coiling, characterized in that, Includes the following steps: S1. Parameter Configuration and Recipe Management: Pre-store the standard weight values ​​and allowable tolerance ranges corresponding to different wire and cable models and specifications as independent product recipes; during production, call up the weight parameters corresponding to the current production model according to the input command. S2. Product arrival detection: Receives a product arrival signal from the inlet through-beam photoelectric sensor to confirm that the product has fully entered the weighing area; S3. Dynamic stability control: Sends a command to the drive unit of the power drum to decelerate to 0.03-0.08m / s or stop completely; S4. Weight data acquisition: Receive weight data synchronously acquired from at least three evenly distributed high-precision weighing sensors; S5. Adaptive Filtering and Dynamic Compensation: The raw weight data is processed using a sliding window filtering algorithm. After removing outliers, the average value is calculated. Three-dimensional dynamic weight compensation is then performed based on product position, roller speed, and ambient temperature to obtain the final measured weight. S6. Intelligent pass / fail judgment: The final measured weight is compared with the preset standard weight range to generate a pass or fail judgment signal; S7. Automatic diversion control: Based on the judgment signal, a corresponding rotation command is sent to the drive device of the power roller: if the judgment is qualified, a forward rotation command is sent; if the judgment is unqualified, a reverse rotation command is sent and a light and sound alarm signal is triggered. S8. Data Recording and Quality Traceability: Record and store the model, measured weight, judgment result, production timestamp and equipment number information of each product, and generate exportable quality reports.

2. The process method for automatic weighing, determination, and current distribution of coiled wires according to claim 1, characterized in that, In step S1, the number of product formulas stored is ≥200 sets, with an allowable tolerance range of ±5g to ±150g. Each formula also includes corresponding parameters for roller drive delay, forward and reverse rotation speed, and stabilization time.

3. The process method for automatic weighing, determination, and current diversion of coiled wires according to claim 1, characterized in that, In step S2, the product is confirmed to have fully entered the weighing area and the subsequent process is started only when the continuous obstruction signal from the inlet through-beam photoelectric sensor is received for ≥0.5 seconds.

4. The process method for automatic weighing, determination, and current diversion of coiled wires according to claim 1, characterized in that, In step S5, the sliding window filtering algorithm specifically involves: continuously collecting 10-20 sets of weight data, removing one maximum value and one minimum value, and then calculating the arithmetic mean of the remaining data; at the same time, automatically adjusting the sampling frequency according to the product weight, with a lower sampling frequency for larger weights.

5. The process method for automatic weighing, determination, and current distribution of coiled wires according to claim 1, characterized in that, In step S5, the calculation formula for the three-dimensional dynamic weight compensation is as follows: Wcorrected = Wmeasured + K1×(P-P0) + K2×(V-V0) + K3×(T-T0) Wherein, Wcorrected is the final measured weight after correction, Wmeasured is the average weight after filtering, K1 is the position compensation coefficient, P is the actual position of the product on the roller, P0 is the standard center position, K2 is the speed compensation coefficient, V is the actual rotational speed of the roller, V0 is the standard stable rotational speed, K3 is the temperature compensation coefficient, T is the ambient temperature, and T0 is the standard calibration temperature.

6. The process method for automatic weighing, determination, and current distribution of coiled wires according to claim 1, characterized in that, In step S7, the power roller is driven by a servo motor, with a forward / reverse switching response time of ≤0.2 seconds, a forward conveying speed of 0.15-0.3m / s, and a reverse conveying speed of 0.2-0.4m / s.

7. The process method for automatic weighing, determination, and current distribution of coiled wires according to claim 1, characterized in that, Step S7 also includes an anti-mixing verification step: receiving counting signals from the qualified product exit counting sensor and the defective product exit counting sensor, comparing the sum of the two with the number of products weighed and detected, and triggering a system alarm and sending a production line stop signal if the numbers do not match.

8. The process method for automatic weighing, determination, and current diversion of coiled wires according to claim 1, characterized in that, Step S8 also includes a real-time statistical analysis step: automatically calculating the pass rate, the non-conforming rate and the proportion of various non-conforming reasons, and generating an SPC control chart; when three non-conforming products are detected consecutively within a preset unit time (for example, 1 min, 2 min, 3 min), a stop signal is automatically sent to the upstream coil forming machine.

9. An automatic weighing and diversion device for coiled wires, used to implement the process method described in any one of claims 1 to 8, characterized in that, include: The recipe management module is used to store and retrieve recipes with weight parameters corresponding to different wire and cable models; The signal receiving module is used to receive various input signals from photoelectric sensors, weighing sensors, and temperature sensors; The data processing module is used to filter and dynamically compensate the collected weight data. The logic judgment module is used to compare the processed weight data with the preset standard and generate a pass / fail judgment signal. The command output module is used to send control commands to the power roller drive device, the audible and visual alarm module, and the upstream coil forming machine. The data storage and analysis module is used to record production data, generate quality reports, and perform statistical analysis.

10. The automatic weighing and diversion device for coiled wires according to claim 9, characterized in that, The device uses a Siemens S7-1200 series PLC or an equivalent embedded industrial controller.

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