Pipeline processing method and device, processing system, computer readable storage medium, processor and computer program product

Abstract

The application discloses a kind of processing method and device of pipeline, processing system, computer readable storage medium, processor and computer program product. Among them, the method comprises: the emergency stop component on target pipeline is monitored, and monitoring result is obtained;When determining that there is bottleneck process in target pipeline according to the cumulative number of times that emergency stop component is triggered and the length of time that emergency stop is determined according to monitoring result, the moving speed of target pipeline is adjusted;After target pipeline runs at adjusted speed, the current production of target pipeline is obtained;When current production is less than target production, bottleneck process is adjusted to make the production of target pipeline meet target production.The application solves the technical problem that in the related art, in the automatic production process, the production switching of different products or the difference in employee proficiency may cause the speed of the pipeline and the production rhythm to be mismatched, thereby affecting the production efficiency and stability.

Description

Technical Field

[0001] This invention relates to the field of automated production technology, and more specifically, to a processing method and apparatus for an assembly line, a processing system, a computer-readable storage medium, a processor, and a computer program product. Background Technology

[0002] In industrial production, a production line may be compatible with the production of different products. When the production line switches products, the production line speed may not match the production rhythm, which will result in some wasted time. In addition, the proficiency of production workers on different shifts may also be inconsistent.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a processing method and apparatus, processing system, computer-readable storage medium, processor, and computer program product for automated production lines, to at least solve the technical problem in the related art where the production switching of different products or the difference in employee proficiency may lead to a mismatch between the production line speed and the production cycle during automated production, thereby affecting production efficiency and stability.

[0005] According to one aspect of the present invention, a method for processing a production line is provided, comprising: monitoring an emergency stop component on a target production line and obtaining a monitoring result, wherein the emergency stop component is used to indicate an abnormality in the process corresponding to the emergency stop component; when determining, based on the monitoring result, that a bottleneck process exists in the target production line due to the cumulative number of times the emergency stop component has been triggered and the emergency stop duration, adjusting the moving speed of the target production line, wherein the bottleneck process is a process in the target production line that requires process adjustment, and the emergency stop duration is the duration of each time the emergency stop component is triggered; after the target production line runs at the adjusted speed, obtaining the current production volume on the target production line; and when the current production volume is less than the target production volume, adjusting the bottleneck process to ensure that the production volume of the target production line meets the target production volume.

[0006] Optionally, monitoring the emergency stop component on the target production line and obtaining monitoring results includes: detecting the triggering operation of the emergency stop component during the operation of the target production line and obtaining detection results; when the detection results indicate that the emergency stop component is triggered, recording the number of emergency stops of the emergency stop component, and simultaneously calculating the total duration of each trigger of the emergency stop component to obtain the monitoring results.

[0007] Optionally, determining the existence of a bottleneck process in the target production line by determining the cumulative number of times the emergency stop component is triggered and the emergency stop duration based on the monitoring results includes: determining the existence of the bottleneck process in the target production line when the cumulative number of times exceeds an emergency stop frequency threshold and / or the emergency stop duration exceeds an emergency stop duration threshold, wherein the emergency stop frequency threshold and the emergency stop duration threshold are thresholds set based on the historical operating data of the target production line.

[0008] Optionally, when determining a bottleneck process in the target production line based on the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop based on the monitoring results, the moving speed of the target production line is adjusted, including: determining the importance of the bottleneck process in the target production line; determining a reduction ratio of the moving speed of the target production line based on the importance; and adjusting the moving speed of the target production line based on the reduction ratio.

[0009] Optionally, the processing method of the production line further includes: determining the speed-up ratio of the target production line when the cumulative number of times the emergency stop component is triggered and the emergency stop duration are determined based on the monitoring results; and adjusting the moving speed of the target production line according to the speed-up ratio.

[0010] Optionally, before adjusting the bottleneck process, the processing method of the production line further includes: generating a prompt message when the current production volume is less than the target production volume, so as to prompt that the production volume of the target production line does not meet the target production volume.

[0011] Optionally, when the current production volume is less than the target production volume, the bottleneck process is adjusted so that the production volume of the target production line meets the target production volume. This includes: splitting the bottleneck process into multiple sub-processes; and reorganizing the multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0012] Optionally, the bottleneck process can be split into multiple sub-processes, including: obtaining the total time of the bottleneck process; and splitting the bottleneck process into multiple sub-processes on an average basis according to the total time.

[0013] Optionally, reorganizing the plurality of sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume includes: reorganizing the plurality of sub-processes according to the consumption time of the plurality of sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0014] Optionally, the plurality of sub-processes are reorganized according to their consumption time, including: combining each of the plurality of sub-processes with a non-bottleneck process on the target production line according to its consumption time, so that the time difference of each process on the target production line after reorganization is less than a predetermined time difference.

[0015] According to another aspect of the present invention, a processing apparatus for an assembly line is also provided, comprising: a monitoring unit for monitoring an emergency stop component on a target assembly line and obtaining a monitoring result, wherein the emergency stop component is used to indicate that an abnormality has occurred in the process corresponding to the emergency stop component; a first determining unit for adjusting the moving speed of the target assembly line when, based on the monitoring result, the cumulative number of times the emergency stop component has been triggered and the emergency stop duration are determined to be a bottleneck process in the target assembly line, wherein the bottleneck process is a process in the target assembly line that requires process adjustment, and the emergency stop duration is the duration of each time the emergency stop component is triggered; an adjusting unit for obtaining the current production volume on the target assembly line after the target assembly line is running at the adjusted speed; and a processing unit for adjusting the bottleneck process when the current production volume is less than the target production volume, so that the production volume of the target assembly line meets the target production volume.

[0016] Optionally, the monitoring unit includes: a detection module, used to detect the triggering operation of the emergency stop component during the operation of the target production line, and obtain a detection result; and a processing module, used to record the number of emergency stops of the emergency stop component when the detection result indicates that the emergency stop component has been triggered, and to count the total duration of each triggering of the emergency stop component, and obtain the monitoring result.

[0017] Optionally, the first determining unit includes: a first determining module, configured to determine that a bottleneck process exists in the target production line when the cumulative number of emergency stops exceeds an emergency stop count threshold and / or the emergency stop duration exceeds an emergency stop duration threshold, wherein the emergency stop count threshold and the emergency stop duration threshold are thresholds set based on historical operating data of the target production line.

[0018] Optionally, the adjustment unit includes: a second determining module for determining the importance of the bottleneck process in the target production line; a third determining module for determining a reduction ratio of the moving speed of the target production line based on the importance; and an adjustment module for adjusting the moving speed of the target production line according to the reduction ratio.

[0019] Optionally, the processing device of the production line further includes: a second determining unit, configured to determine the speed-up ratio of the target production line when the cumulative number of times the emergency stop component is triggered and the emergency stop duration are determined based on the monitoring results, and it is determined that there is no bottleneck process in the target production line; and a control unit, configured to adjust the moving speed of the target production line according to the speed-up ratio.

[0020] Optionally, the processing apparatus of the production line further includes a generation unit, configured to generate a prompt message when the current production volume is less than the target production volume before adjusting the bottleneck process, so as to indicate that the production volume of the target production line does not meet the target production volume.

[0021] Optionally, the processing unit includes: a splitting module for splitting the bottleneck process into multiple sub-processes; and a reorganization module for reorganizing the multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0022] Optionally, the splitting module includes: an acquisition sub-module for acquiring the total time of the bottleneck process; and a splitting sub-module for splitting the bottleneck process into the plurality of sub-processes according to the total time.

[0023] Optionally, the reorganization module includes: an optimization submodule, configured to reorganize the multiple sub-processes according to their consumption time, so as to optimize the target production line and make the production volume of the target production line meet the target production volume.

[0024] Optionally, the optimization submodule is further configured to combine each of the plurality of sub-processes with a non-bottleneck process on the target production line according to its consumption time, so that the time difference of each process on the target production line after reorganization is less than a predetermined time difference.

[0025] According to another aspect of the present invention, a processing system for an assembly line is also provided, the assembly line processing system using any of the above-described assembly line processing methods.

[0026] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein the program executes the pipeline processing method described in any one of the foregoing embodiments.

[0027] According to another aspect of the present invention, a processor is also provided, the processor being configured to run a program, wherein the program, when running, performs the pipelined processing method described in any of the foregoing embodiments.

[0028] According to another aspect of the present invention, a computer program product is also provided, including computer instructions that, when executed by a processor, perform the pipeline processing method described in any one of the above embodiments.

[0029] In this embodiment of the invention, the emergency stop component on the target production line is monitored to obtain monitoring results. The emergency stop component is used to indicate that the corresponding process has an abnormality. When the cumulative number of times the emergency stop component is triggered and the emergency stop duration are determined based on the monitoring results, and it is determined that there is a bottleneck process in the target production line, the moving speed of the target production line is adjusted. The bottleneck process is the process in the target production line that needs to be adjusted, and the emergency stop duration is the duration of each time the emergency stop component is triggered. After the target production line runs at the adjusted speed, the current production volume on the target production line is obtained. When the current production volume is less than the target production volume, the bottleneck process is adjusted so that the production volume of the target production line meets the target production volume. The technical solution provided by this invention enables real-time adjustment of the production line speed via an emergency stop button, automatic identification of bottleneck processes, and rapid adjustment of the production line speed according to actual working conditions. This reduces the number of emergency stops, stabilizes the production cycle, and improves overall production efficiency. It also solves the technical problem in related technologies where the production switching of different products or the difference in employee proficiency may lead to a mismatch between the production line speed and the production cycle during automated production, thus affecting production efficiency and stability. Attached Figure Description

[0030] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0031] Figure 1 This is a hardware structure block diagram of a mobile terminal for a pipeline processing method according to an embodiment of the present invention.

[0032] Figure 2 This is a flowchart of a processing method for an assembly line according to an embodiment of the present invention;

[0033] Figure 3 This is a flowchart of an optional pipeline processing method according to an embodiment of the present invention;

[0034] Figure 4 This is a schematic diagram of a processing apparatus for an assembly line according to an embodiment of the present invention. Detailed Implementation

[0035] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0036] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0037] As described in the background section, in related technologies, during automated production processes, the production switchover between different products or differences in employee proficiency can lead to a mismatch between the assembly line speed and the production cycle, thereby affecting production efficiency and stability. In embodiments of the present invention, a method and apparatus for processing assembly lines, an assembly line processing system, a computer-readable storage medium, and a processor are provided.

[0038] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0039] The methods and embodiments provided in this invention can be executed on a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a pipeline processing method according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0040] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the pipeline processing method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0041] Example 1

[0042] According to an embodiment of the present invention, a method embodiment of a pipeline processing method is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0043] Figure 2 This is a flowchart of a pipeline processing method according to an embodiment of the present invention, such as... Figure 2 As shown, the processing system of this production line includes the following steps:

[0044] Step S202: Monitor the emergency stop components on the target production line and obtain the monitoring results. The emergency stop components are used to indicate that the corresponding process has an abnormality.

[0045] Optionally, the target production line mentioned above can be a production line in a production workshop, also known as a production line. It refers to a series of sequentially arranged processes, each of which is responsible for a part of the product manufacturing process. The product is transferred from one process to the next until it is finally completed.

[0046] Optionally, there can be one or more emergency stop components. When the target production line is relatively short, only one emergency stop component is needed; when the target production line is relatively long, multiple emergency stop components can be set.

[0047] Optionally, the aforementioned emergency stop component can be an emergency stop button on the assembly line. For example, an emergency stop button can be equipped at each workstation on the assembly line to stop the assembly line in case of emergency or untimely process handling. That is, when an abnormality occurs in the process (e.g., the task cannot be completed in time, a malfunction occurs, abnormal operation occurs, process parameters deviate, tool wear occurs, software failure occurs, etc.), the emergency stop component can be triggered to prompt the corresponding personnel to carry out maintenance or corresponding handling.

[0048] Optionally, a programmable logic controller (PLC) or similar control device can be used to monitor and record the number of times each emergency stop button is pressed and its duration. The type of monitoring component is not specifically limited here.

[0049] In this embodiment, during the operation of the production line, the emergency stop component is continuously monitored, and the number of emergency stops and the duration of emergency stops are recorded to assess the stability of each process.

[0050] Step S204: When determining the cumulative number of times the emergency stop component is triggered and the emergency stop duration based on the monitoring results, and thus determining that there is a bottleneck process in the target production line, the moving speed of the target production line is adjusted. Here, the bottleneck process is the process in the target production line that needs to be adjusted, and the emergency stop duration is the duration of each time the emergency stop component is triggered.

[0051] Optionally, in this embodiment of the invention, the emergency stop duration refers to the duration during which the emergency stop component is pressed each time within a certain period of time.

[0052] In this embodiment, the presence of a bottleneck process on the production line can be determined using the monitoring results described above. Specifically, a threshold is set, and if the number of times the emergency stop button is pressed and the duration exceeds this threshold, the workstation is identified as a bottleneck process. When a bottleneck process is detected, the production line's movement speed is adjusted accordingly.

[0053] Step S206: After the target production line runs at the adjusted speed, obtain the current production volume on the target production line.

[0054] In this embodiment, while the production line is running at the adjusted speed, the current production volume can be obtained as a basis for subsequent processing of the production line.

[0055] Step S208: When the current production volume is less than the target production volume, adjust the bottleneck process so that the production volume of the target production line meets the target production volume.

[0056] Optionally, the target output here refers to the output that the target production line needs to achieve in a project or phase.

[0057] In this embodiment, if the production line speed cannot meet the production demand even after it has decreased, the PLC can issue an abnormal alarm to prompt manual intervention.

[0058] Here, an emergency stop button is installed at each workstation and connected to a central control system (such as a PLC). The system periodically checks the status of the emergency stop buttons, recording the timestamp and duration of each trigger. Based on the number and duration of emergency stops, the system analyzes the data. If the number of emergency stops at a workstation exceeds a preset threshold within a preset period, or the cumulative duration of emergency stops exceeds a preset duration threshold, the system marks that workstation as a potential bottleneck process. Once a bottleneck process is identified, the system automatically adjusts the speed of the associated production line segment, for example, reducing it by 3%. The adjusted speed should ensure that the production line can continue to operate while giving operators more time to handle processes.

[0059] As described above, in this embodiment of the invention, the emergency stop component on the target production line can be monitored to obtain monitoring results. The emergency stop component is used to indicate an abnormality in the corresponding process. When the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop are determined based on the monitoring results, indicating a bottleneck process in the target production line, the movement speed of the target production line is adjusted. The bottleneck process is the process in the target production line that requires adjustment. After the target production line runs at the adjusted speed, the current production volume on the target production line is obtained. When the current production volume is less than the target production volume, the bottleneck process is adjusted to ensure that the production volume of the target production line meets the target production volume. This achieves real-time adjustment of the production line speed via the emergency stop button, automatic identification of bottleneck processes, and rapid adjustment of the production line speed according to actual working conditions, thereby reducing the number of emergency stops, stabilizing the production cycle, and improving overall production efficiency.

[0060] Therefore, the technical solutions provided by the embodiments of the present invention solve the technical problem in the related art where the production switching of different products or the difference in employee proficiency may lead to a mismatch between the production line speed and the production cycle during the automated production process, thereby affecting production efficiency and stability.

[0061] According to the above embodiments of the present invention, monitoring the emergency stop component on the target production line and obtaining monitoring results includes: detecting the triggering operation of the emergency stop component during the operation of the target production line and obtaining detection results; when the detection results indicate that the emergency stop component is triggered, recording the number of emergency stops of the emergency stop component, and simultaneously calculating the total duration of each trigger of the emergency stop component to obtain monitoring results.

[0062] This can be achieved by equipping each workstation on the production line with an emergency stop button, which can be used to stop the production line in case of emergencies or delays in process handling. At the same time, a programmable logic controller (PLC) or similar control device can be used to monitor and record the number of times the emergency stop button is pressed and the duration of each press.

[0063] In addition, the duration of each emergency stop button press is recorded and analyzed, and the following judgments are made: if the duration of the emergency stop button press is basically the same within a certain period of time, it indicates that the speed is too fast, because the time for the same person to complete a process is fixed. If the duration of each emergency stop at this workstation is almost the same, it is determined that there is not enough time to process the process and the production line needs to be stopped to make up for it.

[0064] In this embodiment, the monitoring system records the trigger status of the emergency stop button during each monitoring cycle of the production line operation. If the emergency stop button is triggered, the system starts timing and records the total duration and number of emergency stops as the basis for subsequent analysis.

[0065] By accurately recording emergency stop data, PLCs can more accurately identify bottleneck processes, thereby more effectively adjusting production line speed, reducing unnecessary downtime, and improving production continuity and overall efficiency.

[0066] According to the above embodiments of the present invention, determining the existence of a bottleneck process in the target production line by determining the cumulative number of times the emergency stop component is triggered and the emergency stop duration based on the monitoring results includes: determining that there is a bottleneck process in the target production line when the cumulative number of times exceeds the emergency stop number threshold and / or the emergency stop duration exceeds the emergency stop duration threshold, wherein the emergency stop number threshold and the emergency stop duration threshold are thresholds set based on the historical operating data of the target production line.

[0067] In this embodiment, the system sets thresholds for the number of emergency stops and the duration of emergency stops based on historical operating data and production line characteristics. These thresholds represent the reasonable frequency and duration of emergency stops under normal operating conditions; exceeding the thresholds indicates the presence of a potential bottleneck.

[0068] In addition, the aforementioned thresholds for the number of emergency stops and the duration of emergency stops can also be determined through various other methods, such as: 1) Expert experience method: estimating a reasonable threshold based on the experience and expertise of factory engineers or production managers. This method is particularly suitable for the initial stages of new production lines or processes when historical data is insufficient. For example, experts may estimate the reasonable frequency and duration of emergency stops based on the production line's design capabilities and the operator's proficiency; 2) Simulation and testing method: predicting the frequency and duration of emergency stops by building models or conducting laboratory tests before the production line or process is officially put into operation. This method can more specifically reflect the thresholds under specific production conditions, but may require specialized simulation software or experimental support; 3) Dynamic adjustment method: continuously collecting data and adjusting the thresholds in real time or periodically as the production line operates. This adaptive setting method can better respond to changes in production conditions, such as equipment aging, operator changes, or product design updates. For example, using machine learning algorithms to adjust the thresholds based on continuously accumulating data to reflect the actual condition of the production line.

[0069] By setting thresholds, the system can more accurately identify bottleneck processes, avoiding unnecessary reductions in production speed due to misjudgments and ensuring the achievement of target production volumes.

[0070] According to the above embodiments of the present invention, when determining the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop based on monitoring results, and thus determining that there is a bottleneck process in the target production line, adjusting the moving speed of the target production line includes: determining the importance of the bottleneck process in the target production line; determining the speed reduction ratio of the target production line based on its importance; and adjusting the moving speed of the target production line based on the speed reduction ratio.

[0071] In this embodiment of the invention, the importance of each process in the production line can be determined in several ways, such as: 1) Time consumption analysis: This is the most basic measurement method. By recording and analyzing the average time of each process on the production line, it is easy to see which processes take the longest. Processes with longer consumption times often have a greater impact on the overall production cycle time, and therefore their importance is relatively high. 2) Resource utilization assessment: Consider the resources required for the process, including human resources, equipment, raw materials, etc. Processes with higher resource utilization may mean higher input costs and may also affect the normal operation of other processes, so the importance of such processes should also be highlighted. 3) Bottleneck process identification: Through time consumption analysis and statistics of emergency stop events, bottleneck processes on the production line can be identified, that is, processes that restrict the overall production efficiency. These processes are particularly important because they directly affect the average output rate of the production line. 4) Dependency relationship between processes: Some processes may be the foundation of subsequent processes or an indispensable link in the entire product manufacturing process. Even if this type of process does not take long, its importance is very high due to its key position in the production chain. 5) Quality Impact Considerations: Some processes directly affect product quality and safety. Even if they are not the most time-consuming or resource-intensive processes, their decisive impact on the final product quality should still be considered important. 6) Cost-Benefit Analysis: By comparing the cost input and output benefits of a process, its economic value can be assessed. Investing more effort and resources in optimizing processes with high cost-effectiveness may yield a higher return on investment. 7) Flexibility and Adaptability Evaluation: As market demands change, some processes may require more frequent adjustments to adapt to changes in product type or output. These processes are more important due to their implementation difficulty and contribution to production line flexibility. 8) Safety Risk Assessment: For processes that may pose safety hazards. 9) Customer Feedback: If the product characteristics of a process directly affect customer satisfaction, then this process is extremely important. For example, processes involving appearance, packaging, or functional testing may receive particular attention.

[0072] Therefore, the importance of the bottleneck process in the target production line can be determined using one or more of the methods described above. Specifically, different weights can be assigned to each of the factors. For example, time consumption is generally more important to production and can be given a higher weight; while customer feedback is a subjective factor compared to time consumption and can be given a relatively lower weight. Then, the importance of the bottleneck process is determined by a weighted average.

[0073] In this embodiment, the impact of each process on the overall production line efficiency can be assessed to determine its importance. Then, based on the importance of the processes and the current operating status of the production line, a dynamic speed reduction ratio is calculated. The production line speed is then adjusted according to the dynamically calculated speed reduction ratio via a PLC or other control system.

[0074] The determination of the speed reduction ratio typically needs to be based on the specific conditions and objectives of the production site, and may include, but is not limited to, the following methods: 1) Bottleneck process analysis: First, identify the bottleneck process through time consumption analysis, i.e., the process on the production line that takes the longest time or triggers the most frequent emergency stops. Then, calculate an initial speed reduction ratio based on the difference between the time taken by this process and the ideal time taken. Ideally, the production line speed after speed reduction should be able to match the production cycle of the bottleneck process with other parts of the production line. 2) Iterative testing and adjustment: After initially determining the speed reduction ratio, testing is required in actual production to verify its effect. Small adjustments (e.g., 1%-3% each time) can be made to observe the impact on output, quality, employee stress, and production costs. Based on the test results, the speed reduction ratio is gradually adjusted until the optimal value is found. 3) Target output constraint: The determination of the speed reduction ratio should also consider the target output. It is necessary to ensure that even after speed reduction, the overall output of the production line can still reach or approach the predetermined target. If speed reduction leads to a significant drop in output, it may be necessary to re-evaluate the handling of the bottleneck process, rather than simply adjusting the speed. 4) Resource Utilization Considerations: The reduction rate should also consider resource utilization, including manpower, machinery, and materials. Excessive reduction may lead to idle resources, thereby increasing production costs. Therefore, the reduction rate should find a balance between improving efficiency and resource utilization. 5) Cost-Benefit Analysis: The final reduction rate needs to be determined through a cost-benefit analysis. The direct costs (such as extended running time) and indirect costs (such as resource waste) caused by the reduction should be calculated and compared with the efficiency improvements and quality enhancements brought about by the reduction to ensure a positive overall economic benefit. 6) Emergency Handling: When an abnormal emergency stop occurs on the production line, the reduction rate can be preset to a higher value (such as 5%-10%) to ensure safety and avoid equipment damage or production accidents caused by excessive speed. 7) Automation and Intelligent Systems: In modern factories, the determination of the reduction rate can be achieved with the help of automated control and intelligent systems. For example, predictive models based on big data analysis can dynamically adjust the reduction rate to adapt to constantly changing production conditions.

[0075] For example, the speed reduction ratio might be determined by the following steps: 1) Initially set the speed reduction ratio to 3%, based on statistics of emergency stop button usage and preliminary analysis of bottleneck processes. 2) Conduct small-scale tests, such as a 3% speed reduction initially, and observe the impact on production cycle time, output, and quality. 3) If a 3% speed reduction still fails to achieve the expected results, such as output remaining below target, it may be necessary to increase manpower or redesign processes. Simultaneously, the speed reduction ratio can be adjusted to a smaller value, such as 1%, to maintain overall efficiency. 4) If tests show that a 3% speed reduction results in stable production line operation without negatively impacting output and quality, and employee feedback indicates reduced workload, then this speed reduction ratio is likely appropriate. 5) In automated systems, the speed reduction ratio may be automatically adjusted by a preset algorithm. For example, if the emergency stop button is triggered more than 5 times within one hour, with each trigger lasting more than 30 seconds, the system automatically sets the speed reduction ratio to 5%.

[0076] It should be noted that the reduction ratio is a dynamically adjusted parameter that needs to be optimized based on real-time feedback from the production site and long-term data analysis to achieve the best balance between production efficiency, cost control, and employee comfort.

[0077] According to the above embodiments of the present invention, the processing method of the production line further includes: determining the speed-up ratio of the target production line when the cumulative number of times the emergency stop component is triggered and the emergency stop duration are determined based on the monitoring results; and adjusting the moving speed of the target production line according to the speed-up ratio.

[0078] The above-mentioned determination that there are no bottleneck processes in the target production line can be achieved by analyzing the cumulative number of times emergency stop components are triggered and the duration of each emergency stop, combined with certain thresholds and analysis strategies. For example, this can be achieved in the following ways: 1) Setting thresholds: First, a reasonable threshold needs to be set to determine whether emergency stops are frequent or whether the duration of each emergency stop is abnormal. For example, the cumulative number threshold can be set to 2 times / shift, and the emergency stop duration threshold can be set to 10 seconds / time. These thresholds need to be set based on the normal operating range of the production line, as well as historical data and industry standards. 2) Data collection and analysis: Collect the triggering data of emergency stop components in real time or periodically, including the accurate timestamp of each emergency stop, the duration, and the number of triggers within the entire shift or a specific time window. Analyze this data to see if it exceeds the set thresholds. 3) Eliminating abnormal situations: Check whether the emergency stop events are caused by abnormal or unforeseen events (such as equipment failure, raw material problems, etc.). These situations should not be included in the bottleneck process analysis of normal operation. A fault elimination mechanism can be set, for example, emergency stops lasting more than 1 minute are considered faults and are not included in the number of occurrences threshold judgment. 4) Periodicity and Regularity Analysis: Analyze the periodicity and regularity of emergency stops. If the number of emergency stops does not exceed the threshold within the set time window, and the duration of each emergency stop is within a reasonable range, and there is no obvious periodicity, then it can be preliminarily determined that there is currently no bottleneck problem at this production line station. 5) Comprehensive Assessment: Conduct a comprehensive assessment combining production output, station load, employee feedback, and other factors. If production is stable and employee workload is moderate with few emergency stops, then the production line can be considered to be operating well overall, with no bottleneck process. 6) Manual Verification: Although the automation system can provide a preliminary judgment, in complex or special cases, manual verification by production line managers or engineers may be necessary to ensure the accuracy of the analysis results. Manual verification can be based on system reports and on-site observation to further confirm whether there is indeed no bottleneck process.

[0079] For example, if the emergency stop button is triggered less than twice during an 8-hour shift, with each trigger lasting no more than 10 seconds and no abnormal periodic patterns, while production remains stable and employee feedback is positive, then it can be determined that there is no bottleneck process on this production line during this shift, and overall operating efficiency is high. In this case, the system can automatically implement a slight increase in the production line speed to further improve production efficiency.

[0080] It's important to note here that identifying bottleneck processes relies not only on analyzing emergency stop events but also on considering other key indicators in the production process, such as workstation load, resource utilization, and production cycle time, to ensure a comprehensive and accurate assessment. Even without obvious emergency stop events, analyzing these indicators can help determine whether the production line is operating ideally and whether there is potential for optimization.

[0081] In this embodiment, if no emergency stop is detected within a monitoring period (i.e., a pre-set duration), the system assesses the current production line efficiency and balance. If the production line operates smoothly without significant bottlenecks, the system automatically increases the production line speed by 1% (i.e., the speed-up ratio) to continuously optimize production efficiency.

[0082] Here, precise speed adjustments avoided impacting non-bottleneck processes, optimizing the overall production line efficiency. Through implementation, the processing time for critical processes was reduced from an average of 120 seconds to 114 seconds. This improved overall production line output and optimized resource utilization while ensuring product quality and operational safety.

[0083] According to the above embodiments of the present invention, before adjusting the bottleneck process, the processing method of the production line further includes: generating a prompt message when the current production volume is less than the target production volume, so as to prompt that the production volume of the target production line does not meet the target production volume.

[0084] In this embodiment, the system can monitor and issue early warnings for production volume. Specifically, the system continuously tracks production volume, and when it detects that the current production volume is lower than the target production volume, it automatically generates an early warning message to notify production managers and system operators. This early warning mechanism helps to identify the risk of insufficient production volume in advance, preventing additional costs caused by deviations between production plans and actual output.

[0085] According to the above embodiments of the present invention, when the current production volume is less than the target production volume, the bottleneck process is adjusted so that the production volume of the target production line meets the target production volume. This includes: splitting the bottleneck process into multiple sub-processes; and reorganizing the multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0086] In this embodiment, once it is determined that insufficient production is caused by a bottleneck process, the system or personnel begin to analyze the bottleneck process. For example, the system can record the effects of each adjustment to the production line speed and process reorganization, and automatically optimize the speed adjustment algorithm and process segmentation strategy through intelligent learning algorithms (such as machine learning) to achieve more precise control. Another example is that, based on the duration of sub-processes and operator capabilities, the order and allocation of sub-processes can be rearranged to optimize the workflow and ensure that production reaches the target level.

[0087] In addition, process optimization can be carried out through the following methods: 1) Expert experience and industry standards: In the initial stage, the professional knowledge and experience of production line engineers or operators can be relied upon to estimate the time consumption and potential reorganization methods of each process. At the same time, the production process and standard working hours of similar products in the industry can be referenced to provide a preliminary basis for the reorganization of sub-processes. 2) Preliminary assumptions and testing: In the absence of specific data, a series of assumptions can be set, such as "breaking down complex processes into simple processes can improve efficiency," and then small-scale tests can be conducted on the production line to collect actual operating data. This includes adjusted working hours, output, employee feedback, and other information. Through testing, the effectiveness of the assumptions can be verified, and data support can be provided for subsequent optimization. 3) Cost-benefit analysis: When deciding whether to reorganize sub-processes, cost-benefit analysis is also a key step. It is necessary to consider the manpower, material, and equipment costs required for reorganizing the process, as well as the expected increase in efficiency and output after reorganization. Ensure that the benefits of reorganization outweigh the costs. 4) Dynamic adjustment and intelligent learning: Even in the case of insufficient data, a dynamic adjustment strategy can be adopted, such as setting an initial reorganization plan and then continuously collecting data in actual operation, including employee operation time, equipment operating efficiency, product quality feedback, etc. These data can be used to train intelligent learning algorithms, such as machine learning models, allowing them to gradually optimize themselves based on limited data and real-time feedback, gradually approaching the ideal state. 5) Real-time monitoring and feedback: During implementation, the operating status and production results of sub-processes are monitored in real time to collect feedback information and adjust the reorganization strategy in a timely manner. For example, if it is found that the efficiency of a certain sub-process has not improved after decomposition, it may be due to an improper decomposition method or the need for further technical improvements. 6) Simulation and prediction: Simulation software or models are used to predict the effect of sub-process reorganization. Even without historical data, theoretical models and virtual tests can be used to estimate the impact of different reorganization methods on production line efficiency, thereby guiding actual operation. 7) Multi-scheme testing and comparison: Multiple sub-process reorganization schemes are designed and tested simultaneously. By comparing the actual effects of different schemes, the optimal solution is selected. This method can avoid the limitations of a single strategy and improve the accuracy and reliability of decision-making. 8) Continuous improvement and iteration: Sub-process reorganization is a continuous improvement process. Even if a certain effect is achieved after the initial reorganization, it should be re-evaluated regularly, and adjustments and optimizations should be made based on newly collected data and changes in the production environment.

[0088] The above approach combines expert experience, preliminary testing, and intelligent learning. Even with insufficient data, it can gradually approach the ideal state of sub-process reorganization, ultimately achieving efficient and stable operation of the production line. As data accumulates, the intelligent learning algorithm will be continuously optimized, making decisions more accurate and further improving production efficiency and product quality.

[0089] According to the above embodiments of the present invention, the bottleneck process is split into multiple sub-processes, including: obtaining the total time of the bottleneck process; and splitting the bottleneck process into multiple sub-processes on an average basis according to the total time.

[0090] In this embodiment, the total time spent on the bottleneck process can be obtained, and it can be divided into multiple sub-processes on an average basis according to the time spent, so as to distribute the time consumption and time pressure.

[0091] According to the above embodiments of the present invention, reorganizing multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume includes: reorganizing multiple sub-processes according to the consumption time of multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0092] In this embodiment, the order and allocation of sub-processes can be rearranged based on the time consumed by the sub-processes and the operator's ability, thereby optimizing the work process and ensuring that the production volume reaches the target level.

[0093] Furthermore, in this embodiment of the invention, in addition to adjusting speed, the system can also adopt multi-level adjustment strategies based on the specific circumstances of the bottleneck process, such as temporarily adding operators, optimizing the material supply process, and introducing automated tools, to improve production line efficiency. Moreover, the system supports remote monitoring and intervention, allowing production managers or engineers to adjust parameters and handle anomalies remotely via network from outside the factory, thus achieving remote optimization of the production line.

[0094] According to the above embodiments of the present invention, reorganizing multiple sub-processes based on their consumption time includes: combining each of the multiple sub-processes with a non-bottleneck process on the target production line according to its consumption time, so that the time difference between each process on the target production line after reorganization is less than a predetermined time difference.

[0095] In this embodiment, sub-processes can be combined with non-bottleneck processes on the production line to ensure that the time difference between each recombined process is less than a preset time difference, thereby maximizing production line efficiency and meeting production targets. For example, when a bottleneck process is detected, the process is decomposed to reduce its time. For instance, if process B is the bottleneck process, it is decomposed into B1, B2, etc., and then the decomposed sub-processes are combined with other processes to ensure that the time difference between each process is not significant. If the process cannot be decomposed and thus affects efficiency, additional manpower is considered.

[0096] The average time spent on this process has been optimized, reducing operator stress and improving the stability of the production cycle.

[0097] When production fell below target, the bottleneck process was analyzed and broken down into three sub-processes. The time taken for each sub-process was reduced from 60 seconds to 20 seconds. These sub-processes were then rearranged to operate more efficiently, such as by adding workstations and using automated equipment. After the process was broken down and reorganized, production increased from 95% to 100%, effectively solving the problem of insufficient production.

[0098] Through the aforementioned real-time data monitoring and analysis, dynamic adjustment of production line speed and intelligent optimization of bottleneck processes were achieved, thereby improving the production efficiency of manufacturing enterprises.

[0099] As described above, the technical solution provided by this embodiment of the invention allows for the installation of emergency stop buttons at each workstation of the target production line, connected to a PLC. The PLC continuously monitors the status of these buttons, recording the number of emergency stops and the duration of each stop. Once the number of emergency stops and the duration of each stop at a certain workstation are detected to exceed a preset threshold, the PLC will automatically adjust the production line speed to adapt to the processing capacity of that workstation. This solves the problem of low efficiency caused by bottleneck processes in the production line. By dynamically monitoring the status of the emergency stop components, it determines whether there is a bottleneck process and automatically adjusts the production line speed accordingly. Automatic speed adjustment avoids operators falling behind the production pace due to excessive speed, reduces production downtime, and improves production efficiency and product quality. Specifically, after implementation, the production line's moving speed can be reduced from the initial 100% to 97%, significantly reducing the frequency of emergency stops.

[0100] Figure 3 This is a flowchart of an optional pipeline processing method according to an embodiment of the present invention, such as... Figure 3 As shown, after the system starts, it can monitor whether the emergency stop button (i.e., the emergency stop component) is pressed. If so, the PLC records the number of emergency stops and their duration, and analyzes the data. If the duration and number of emergency stops exceed a preset threshold, a bottleneck process is identified, and the production line speed is reduced to 3%. The system continues to monitor whether the production line meets the target output after the speed reduction; otherwise, an alarm is triggered. Production is stabilized by breaking down the bottleneck process or adding manpower. If no emergency stop button is detected, the production line speed is increased by 3%.

[0101] It should be noted that in the embodiments of the present invention, the specific values ​​are preset based on the experience values ​​at the initial stage of the pipeline operation and can be modified. The basis for modification is also adjusted according to the pipeline operation. For example, if the modified threshold and percentage cause the pipeline to stop more and more frequently and the operation to become more chaotic, it indicates that the modified relevant parameters are not reasonable enough. The threshold for the number of times the emergency stop button is activated can be increased, and the percentage of pipeline speed decrease / increase can be decreased.

[0102] The above technical solution determines the appropriateness of the production line speed by analyzing the number of times the emergency stop button is pressed and the duration of each emergency stop. It automatically adjusts the speed to adapt to current production conditions, identifying bottleneck processes within the production line. This allows for automatic speed adjustments based on real-time conditions when production line speeds become mismatched after product line changes, reducing emergency stop button presses, avoiding wasted idle time, and stabilizing the production cycle. By monitoring the emergency stop buttons on the production line and recording the number of presses and duration of each button, the system identifies bottleneck processes. Once a bottleneck is identified, the system automatically reduces the production line speed to an appropriate level to minimize emergency stops and avoid wasted idle time. Furthermore, after a period without emergency stops, the system automatically attempts to increase the production line speed to achieve optimal production efficiency.

[0103] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0104] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0105] Example 2

[0106] According to embodiments of the present invention, a processing apparatus for an assembly line for implementing the above-described assembly line processing method is also provided. Figure 4 This is a schematic diagram of a processing apparatus for an assembly line according to an embodiment of the present invention, such as... Figure 4 As shown, the processing device of the production line includes: a monitoring unit 401, a first determination unit 403, an adjustment unit 405, and a processing unit 407. The processing device of the production line will be described below.

[0107] The monitoring unit 401 is used to monitor the emergency stop components on the target production line and obtain monitoring results. The emergency stop components are used to indicate that the corresponding process has an abnormality.

[0108] The first determining unit 403 is used to adjust the moving speed of the target production line when it is determined that there is a bottleneck process in the target production line based on the cumulative number of times the emergency stop component is triggered and the emergency stop duration. The bottleneck process is the process in the target production line that needs to be adjusted, and the emergency stop duration is the duration of each time the emergency stop component is triggered.

[0109] The adjustment unit 405 is used to obtain the current production volume on the target production line after the target production line is running at the adjusted speed.

[0110] The processing unit 407 is used to adjust the bottleneck process when the current production volume is less than the target production volume, so that the production volume of the target production line meets the target production volume.

[0111] It should be noted that the monitoring unit 401, the first determining unit 403, the adjusting unit 405 and the processing unit 407 mentioned above correspond to steps S202 to S208 in the above embodiments. The four units and the corresponding steps implement the same instances and application scenarios, but are not limited to the content disclosed in the above embodiments.

[0112] As can be seen from the above, in the solution described in the above embodiments of the present invention, a monitoring unit can be used to monitor the emergency stop component on the target production line and obtain the monitoring result. The emergency stop component is used to indicate that the process corresponding to the emergency stop component has an abnormality. Then, when the first determining unit determines that there is a bottleneck process in the target production line based on the cumulative number of times the emergency stop component is triggered and the emergency stop duration, the moving speed of the target production line is adjusted. The bottleneck process is the process in the target production line that needs to be adjusted, and the emergency stop duration is the duration of each time the emergency stop component is triggered. After the target production line runs at the adjusted speed, the adjustment unit obtains the current production volume on the target production line. When the current production volume is less than the target production volume, the processing unit adjusts the bottleneck process so that the production volume of the target production line meets the target production volume.

[0113] Optionally, the monitoring unit includes: a detection module, used to detect the triggering operation of the emergency stop component during the operation of the target production line and obtain the detection result; and a processing module, used to record the number of emergency stops of the emergency stop component when the detection result indicates that the emergency stop component has been triggered, and to count the total duration of each triggering of the emergency stop component and obtain the monitoring result.

[0114] Optionally, the first determining unit includes: a first determining module, used to determine that there is a bottleneck process in the target production line when the cumulative number of emergency stops exceeds the emergency stop count threshold and / or the emergency stop duration exceeds the emergency stop duration threshold, wherein the emergency stop count threshold and the emergency stop duration threshold are thresholds set based on the historical operating data of the target production line.

[0115] Optionally, the adjustment unit includes: a second determining module for determining the importance of the bottleneck process in the target production line; a third determining module for determining the reduction ratio of the target production line's moving speed based on its importance; and an adjustment module for adjusting the moving speed of the target production line according to the reduction ratio.

[0116] Optionally, the processing device of the production line further includes: a second determining unit, used to determine the speed-up ratio of the target production line when the cumulative number of times the emergency stop component is triggered and the emergency stop duration are determined based on monitoring results, and it is determined that there is no bottleneck process in the target production line; and a control unit, used to adjust the moving speed of the target production line according to the speed-up ratio.

[0117] Optionally, the processing device of the production line further includes a generation unit, which generates a prompt message when the current production volume is less than the target production volume before adjusting the bottleneck process, so as to prompt that the production volume of the target production line does not meet the target production volume.

[0118] Optionally, the processing unit includes: a splitting module for splitting the bottleneck process into multiple sub-processes; and a reorganization module for reorganizing the multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0119] Optionally, the splitting module includes: an acquisition sub-module for acquiring the total time of the bottleneck process; and a splitting sub-module for dividing the bottleneck process into multiple sub-processes on an average basis according to the total time.

[0120] Optionally, the reorganization module includes: an optimization submodule, used to reorganize multiple sub-processes based on their consumption time, in order to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0121] Optionally, the optimization submodule is also used to combine each of the multiple sub-processes with the non-bottleneck processes on the target pipeline according to its consumption time, so that the time difference of each process on the recombined target pipeline is less than a predetermined time difference.

[0122] According to another aspect of the present invention, a processing system for a production line is also provided, which uses the production line processing method of any of the above embodiments.

[0123] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein the program executes the pipeline processing method of any of the above.

[0124] Optionally, in this embodiment, the computer-readable storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any communication device in a group of communication devices.

[0125] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: monitoring an emergency stop component on the target production line and obtaining monitoring results, wherein the emergency stop component is used to indicate an abnormality in the corresponding process; when determining, based on the monitoring results, the cumulative number of times the emergency stop component is triggered and the emergency stop duration, that a bottleneck process exists in the target production line, adjusting the moving speed of the target production line, wherein the bottleneck process is the process in the target production line that requires process adjustment, and the emergency stop duration is the duration of each trigger of the emergency stop component; after the target production line runs at the adjusted speed, obtaining the current production volume on the target production line; when the current production volume is less than the target production volume, adjusting the bottleneck process to ensure that the production volume of the target production line meets the target production volume.

[0126] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: during the operation of the target pipeline, detecting the triggering operation of the emergency stop component and obtaining the detection result; when the detection result indicates that the emergency stop component is triggered, recording the number of emergency stops of the emergency stop component, and simultaneously calculating the total duration of each triggering of the emergency stop component to obtain the monitoring result.

[0127] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: when it is determined that the cumulative number of emergency stops exceeds the emergency stop count threshold and / or the emergency stop duration exceeds the emergency stop duration threshold, it is determined that there is a bottleneck process in the target pipeline, wherein the emergency stop count threshold and the emergency stop duration threshold are thresholds set based on the historical operating data of the target pipeline.

[0128] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: determining the importance of the bottleneck process in the target production line; determining a reduction ratio for the moving speed of the target production line based on the importance; and adjusting the moving speed of the target production line according to the reduction ratio.

[0129] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: when determining, based on monitoring results, the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop, that there is no bottleneck process in the target production line, determining the speed-up ratio of the target production line; and adjusting the moving speed of the target production line according to the speed-up ratio.

[0130] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: before adjusting the bottleneck process, when the current production volume is less than the target production volume, generating a prompt message to indicate that the production volume of the target production line does not meet the target production volume.

[0131] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: splitting the bottleneck process into multiple sub-processes; and recombining the multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0132] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: obtaining the total time of the bottleneck process; and dividing the bottleneck process into multiple sub-processes according to the total time.

[0133] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: reorganizing multiple sub-processes according to the consumption time of multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume.

[0134] According to another aspect of the present invention, a processor is also provided, which is used to run a program, wherein the program executes the pipelined processing method of any of the above-described embodiments during runtime.

[0135] According to another aspect of the present invention, a computer program product is also provided, including computer instructions, which, when executed by a processor, perform a pipelined processing method of any of the above.

[0136] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0137] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0138] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0139] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0140] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0141] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0142] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A processing method for an assembly line, characterized in that, include: The emergency stop component on the target production line is monitored to obtain monitoring results. The emergency stop component is used to indicate that the process corresponding to the emergency stop component has an abnormality. When determining, based on the monitoring results, the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop, that a bottleneck process exists in the target production line, the moving speed of the target production line is adjusted. The bottleneck process is the process in the target production line that requires process adjustment, and the emergency stop duration is the duration of each time the emergency stop component is triggered. After the target production line runs at the adjusted speed, the current production volume on the target production line is obtained; When the current production volume is less than the target production volume, the bottleneck process is adjusted so that the production volume of the target production line meets the target production volume. Specifically, when determining a bottleneck process in the target production line by the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop based on the monitoring results, the moving speed of the target production line is adjusted, including: determining the importance of the bottleneck process in the target production line; determining a reduction ratio of the moving speed of the target production line based on the importance; and adjusting the moving speed of the target production line based on the reduction ratio.

2. The processing method of the assembly line according to claim 1, characterized in that, The emergency stop components on the target production line are monitored, and the monitoring results are obtained, including: During the operation of the target production line, the triggering operation of the emergency stop component is detected, and the detection result is obtained; When the detection result indicates that the emergency stop component is triggered, the number of emergency stops of the emergency stop component is recorded, and the total duration of each trigger of the emergency stop component is calculated to obtain the monitoring result.

3. The processing method of the assembly line according to claim 1, characterized in that, Based on the monitoring results, the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop are determined to identify a bottleneck process in the target production line, including: When the cumulative number of emergency stops exceeds the emergency stop count threshold and / or the emergency stop duration exceeds the emergency stop duration threshold, it is determined that the bottleneck process exists in the target production line.

4. The processing method of the assembly line according to any one of claims 1 to 3, characterized in that, Also includes: When the cumulative number of times the emergency stop component is triggered and the duration of the emergency stop are determined based on the monitoring results, and it is determined that there is no bottleneck process in the target production line, the speed-up ratio of the target production line is determined. The moving speed of the target production line is adjusted according to the acceleration ratio.

5. The processing method of the assembly line according to claim 1, characterized in that, Before adjusting the bottleneck process, the following steps are also included: When the current production volume is less than the target production volume, a prompt message is generated to indicate that the production volume of the target production line does not meet the target production volume.

6. The processing method of the assembly line according to claim 1, characterized in that, When the current production volume is less than the target production volume, adjustments are made to the bottleneck process to ensure that the production volume of the target production line meets the target production volume, including: The bottleneck process is broken down into multiple sub-processes; The multiple sub-processes are reorganized to optimize the target production line so that the production volume of the target production line meets the target production volume.

7. The processing method of the assembly line according to claim 6, characterized in that, The bottleneck process is broken down into multiple sub-processes, including: Obtain the total time spent on the bottleneck process; The bottleneck process is divided into multiple sub-processes based on the total time consumed.

8. The processing method of the assembly line according to claim 6, characterized in that, Reorganizing the multiple sub-processes to optimize the target production line so that the production volume of the target production line meets the target production volume includes: The multiple sub-processes are reorganized based on their consumption time to optimize the target production line, so that the production volume of the target production line meets the target production volume.

9. The processing method of the assembly line according to claim 8, characterized in that, The multiple sub-processes are reorganized based on their consumption time, including: Each of the plurality of sub-processes is combined with a non-bottleneck process on the target production line according to its said consumption time, so that the time difference of each process on the recombined target production line is less than a predetermined time difference.

10. A processing apparatus for an assembly line, characterized in that, include: The monitoring unit is used to monitor the emergency stop components on the target production line and obtain monitoring results. The emergency stop components are used to indicate that an abnormality has occurred in the process corresponding to the emergency stop components. The first determining unit is used to adjust the moving speed of the target production line when it is determined that there is a bottleneck process in the target production line based on the cumulative number of times the emergency stop component is triggered and the emergency stop duration determined by the monitoring results. The bottleneck process is the process in the target production line that needs to be adjusted, and the emergency stop duration is the duration of each time the emergency stop component is triggered. An adjustment unit is used to obtain the current production volume on the target production line after the target production line is running at the adjusted speed. The processing unit is configured to adjust the bottleneck process when the current production volume is less than the target production volume, so that the production volume of the target production line meets the target production volume. The adjustment unit includes: a second determining module for determining the importance of the bottleneck process in the target production line; a third determining module for determining a reduction ratio of the moving speed of the target production line based on the importance; and an adjustment module for adjusting the moving speed of the target production line according to the reduction ratio.

11. A processing system for an assembly line, characterized in that, The processing system of the production line uses the processing method of the production line according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein the program performs the pipeline processing method according to any one of claims 1 to 9.

13. A processor, characterized in that, The processor is used to run a program, wherein the program executes the pipeline processing method according to any one of claims 1 to 9 when it runs.

14. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by the processor, the pipeline processing method according to any one of claims 1 to 9 is performed.

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