Automatic control line stopping technology

Abstract

The invention relates to the technical field of automatic control, and discloses an automatic control line stopping technology. Comprising the following steps of S1, collecting and initializing basic data of a production line, S2, calculating the speed of a conveying belt and the position of a workpiece in real time, S3, judging a station area and estimating process time, S4, triggering an inspection signal in advance, S5, judging the completion condition of a production task, and S6, deciding and transmitting a line stopping signal. If yes, a stop signal is sent to the PLC, and S7, a stop instruction is executed. According to the invention, through accurate estimation of the process completion inspection time point and automatic control of the line stopping process, each workpiece can be ensured to complete the corresponding production process at a specified station, the workpieces with uncompleted processes or quality problems can be found and processed in time, and defective workpieces are prevented from entering subsequent production links, so that the production process is accurately controlled, and the production efficiency is improved. The resource utilization efficiency is optimized, and the production cost is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic control, and specifically to an automatic control line stop technology. Background Art

[0002] In a large factory, a number of workstations are sequentially arranged on each production line, and each workstation completes a specific production task. Under normal circumstances, the conveyor belt drives the workpiece being produced to move forward at a specified speed, and when passing through the area where each workstation is located, the specified processing and assembly procedures are completed. When major quality problems or production abnormalities are found, it is necessary to stop the conveyor belt in a timely manner and then restart it after the problem is solved. This process is called line stop.

[0003] In traditional production, after a worker discovers a quality problem, they press the line stop button connected to the PLC, and the PLC then controls the conveyor belt to stop running. This manual control method can meet the needs of general scenarios, but the disadvantage is that the accuracy of the line stop time cannot be guaranteed.

[0004] Suppose a workstation must complete a certain processing, assembly or quality repair procedure. When the workpiece on the conveyor belt is about to leave the workstation area, it is possible to check whether the procedure has been completed. If it has been completed, the conveyor belt continues to move forward in the normal manner; otherwise, the line should be stopped immediately. Otherwise, since the workpiece has left the area where the workstation is located and the procedures of the subsequent workstations are different, the problem of the workpiece cannot be repaired anymore. In this case, it is necessary to accurately grasp the timing of checking whether the procedure is completed. If it is too early, there will be insufficient time left for the procedure to be completed; if it is too late, the line will stop after the workpiece has left the workstation area. Obviously, the manual control line stop method is difficult to meet the requirements. In view of this, we propose an automatic control line stop technology. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an automatic control line stop technology, which solves the problem that the manual control line stop method is difficult to meet the accuracy requirements of the current inspection process.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: an automatic control line stop technology, including the following steps:

[0007] S1: Collection and initialization of basic production line data

[0008] Install a programmable logic controller at a fixed position at the head or tail of each production line, and set that the production line motor sends a signal to the PLC every N rotations, which is used as the trigger condition for data collection. Through joint debugging operations, engineers record the initial position information of the workpiece relative to the workstation in the PLC to complete the system initialization;

[0009] S2: Real-time calculation of conveyor belt speed and workpiece position

[0010] Based on the received motor signal, the PLC calculates the running speed of the conveyor belt in real time according to the formula "conveyor belt speed = distance the conveyor belt moves per signal update / time difference between two signals". At the same time, the PLC updates the position data of the workpiece on the production line in real time according to the formula "position of the workpiece on the production line = previous position of the workpiece on the production line + distance the conveyor belt moves per signal update".

[0011] S3: Station area judgment and process time estimation

[0012] The PLC determines the station area where the workpiece is located and its specific position within that area through the two formulas "station area where the workpiece is located = position of the workpiece on the production line / distance between stations (integer division, quotient is the station number)" and "position of the workpiece within the station area = position of the workpiece on the production line % distance between stations (% is the remainder of division)". When it is determined that the workpiece has entered the specified station area, the PLC estimates the time when the workpiece leaves the station area according to the formula "estimated time to leave the station = (distance between stations - current position of the workpiece) / conveyor belt speed".

[0013] S4: Early triggering of inspection signal

[0014] Based on the statistical results of production data in the recent period, the PLC determines the time required for the software system to make a judgment and for communication between the software system and the PLC. The PLC sends an inspection signal to the software system in advance according to the formula "trigger inspection time = estimated time to leave the station - time required for the software system to make a judgment and for communication between the software system and the PLC".

[0015] S5: Judgment of production task completion

[0016] After receiving the inspection signal sent by the PLC, the software system judges whether the processing, assembly or defect repair task of the current workpiece is completed for each station on the production line that needs to be inspected.

[0017] S6: Decision and transmission of line stop signal

[0018] If the software system judges that the workpiece task at a certain station is not completed, it sends a line stop signal to the PLC.

[0019] S7: Execution of line stop instruction

[0020] After receiving the line stop signal sent by the software system, the PLC sends a line stop instruction to the production line, and the conveyor belt of the production line stops running after receiving the line stop instruction.

[0021] Preferably, in the S1 production line basic data collection and initialization, the PLC and the production line motor transmit signals through a high-speed pulse input interface, and the timer component monitors the pulse signal frequency during the transmission process.

[0022] Preferably, in S1, the timer component is integrated inside the PLC and connected to the high-speed pulse input interface through the internal circuit to obtain the pulse signal sent by the motor in real time and monitor its frequency. The timer component stores the monitored pulse frequency data at certain time intervals, and the stored data can be viewed in the historical data query interface of the PLC.

[0023] Preferably, in S2 for real-time calculation of the conveyor belt speed and the workpiece position, the frequencies at which the PLC calculates the conveyor belt speed and the workpiece position are consistent with the frequency of the signal sent by the motor.

[0024] Preferably, in S3 for workstation area judgment and process time estimation, when the PLC calculates the workstation area and position where the workpiece is located based on the distance between workstations, the user is allowed to set a tolerance range for the workstation area in the PLC. When the workpiece position fluctuates within this tolerance range, the PLC considers that it is still in this workstation area.

[0025] Preferably, in S4 for early triggering of inspection signals, when determining the time required for software system judgment and communication between the software system and the PLC, the communication performance data between different types of software systems and the PLC are stored in the database. The PLC automatically calls the corresponding data from the database according to the currently used software system and PLC model. In addition, when the PLC issues an inspection signal in advance according to the formula, the lead time is adjusted according to different product models or production tasks.

[0026] Preferably, in S5 for judgment of production task completion, when the software system judges the completion of tasks for each workstation to be inspected, for complex assembly tasks, a multi-step judgment logic is adopted, that is, the assembly task is divided into steps, and the completion of each step is evaluated separately.

[0027] Preferably, in S6 for stop line signal decision-making and transmission, when the software system judges that the tasks of multiple workstations are not completed, an intelligent priority judgment mechanism is established. According to factors such as production process requirements and quality risks, the priority order of stopping the line is automatically determined, and problems with higher priority affecting product quality and production process are processed first, reducing unnecessary full-line stop time.

[0028] Preferably, in S7 for execution of stop line instructions, a data analysis and mining mechanism is established to further deeply mine data, analyze the correlation between the reasons for stopping the line, the types of workpiece defects and production parameters, and at the same time determine the specific reasons for the current stop line according to the triggered type of abnormal alarm.

[0029] Preferably, during the execution of the S7 line stop instruction, when executing the line stop instruction, the PLC controls the conveyor belt to gradually decelerate and stop, reducing the impact and wear on the production line equipment. At the same time, a vision inspection system is established to monitor and feedback the actual instruction execution status of the equipment in the current area.

[0030] The present invention provides an automatic line stop control technology, which has the following beneficial effects:

[0031] 1. By accurately estimating the inspection time points of the process completion and automatically controlling the line stop process, the present invention can ensure that each workpiece completes the corresponding production process at the specified workstation, timely discover and process the workpieces with unfinished processes or quality problems, avoid defective workpieces from entering the subsequent production links, thereby precisely controlling the production process, optimizing the resource utilization efficiency, and effectively reducing the production cost.

[0032] 2. Through the established intelligent priority judgment mechanism, the present invention can provide a set of scientific and quantitative evaluation systems for different workstations, enabling the system to quickly and accurately judge the urgency of each workstation, effectively avoiding the line stop decision-making mistakes caused by fuzzy judgment, and ensuring that human and material resources are concentrated on the places where problems most urgently need to be solved.

[0033] 3. Through the established data analysis and mining mechanism, the present invention can accurately locate the root cause of the problem. By deeply analyzing the correlation between the line stop reasons, workpiece defect types and production parameters, it can quickly find out the key factors leading to the line stop, avoid blind troubleshooting, greatly improve the problem-solving efficiency, and at the same time, according to the accumulated analysis data, it can assist in formulating production strategies and equipment maintenance plans. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a diagram of the automatic line stop control technology;

[0035] Figure 2 It is a schematic diagram of the intelligent priority judgment mechanism of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the specification of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] Embodiment:

[0038] Please refer to the attached Figure 1 - attached Figure 2 , the embodiment of the present invention provides an automatic line stop control technology, including the following steps:

[0039] S1: Production line basic data collection and initialization

[0040] Install a programmable logic controller at a fixed position at the head or tail of each production line. Set that the production line motor sends a signal to the PLC every N rotations, and use this as the trigger condition for data collection. Through joint debugging operations, engineers record the initial position information of the workpiece relative to the workstation in the PLC to complete system initialization;

[0041] S2: Real-time calculation of conveyor belt speed and workpiece position

[0042] Based on the motor signal received by the PLC, according to the formula "conveyor belt speed = distance the conveyor belt moves each time the signal is updated / time difference between two signals", the PLC calculates the running speed of the conveyor belt in real time. At the same time, the PLC updates the position data of the workpiece on the production line according to the formula "workpiece position on the production line = previous workpiece position on the production line + distance the conveyor belt moves each time the signal is updated";

[0043] S3: Workstation area judgment and process time estimation

[0044] The PLC uses the two formulas "workstation area where the workpiece is located = workpiece position on the production line / distance between workstations (integer division, quotient is the workstation number)" and "position of the workpiece in the workstation area = workpiece position on the production line % distance between workstations (% is the remainder of division)" to judge the workstation area where the workpiece is located and its specific position in this area. When it is judged that the workpiece has entered the specified workstation area, the PLC estimates the time when the workpiece leaves this workstation area according to the formula "estimated time to leave the workstation = (distance between workstations - current workpiece position) / conveyor belt speed";

[0045] S4: Early triggering of inspection signal

[0046] The PLC determines the time required for the software system to make a judgment and for the software system to communicate with the PLC based on the statistical results of production data in the recent period. The PLC sends an inspection signal to the software system in advance according to the formula "trigger inspection time = estimated time to leave the workstation - time required for the software system to make a judgment and for the software system to communicate with the PLC";

[0047] S5: Judgment of production task completion

[0048] After receiving the inspection signal sent by the PLC, the software system judges whether the processing, assembly or defect repair task of the current workpiece is completed for each workstation that needs to be inspected on this production line;

[0049] S6: Stop line signal decision-making and transmission

[0050] If the software system judges that the workpiece task at a certain workstation is not completed, it sends a stop line signal to the PLC;

[0051] S7: Execution of the line stop instruction

[0052] After the PLC receives the line stop signal sent by the software system, it sends a line stop instruction to the production line. After the production line conveyor belt receives the line stop instruction, it stops moving forward.

[0053] In the S1 production line basic data acquisition and initialization, the signal transmission between the PLC and the production line motor is carried out through the high-speed pulse input interface. During the transmission process, the timer component monitors the pulse signal frequency.

[0054] In the S1, the timer component is integrated inside the PLC and is connected to the high-speed pulse input interface through the internal circuit. It can obtain the pulse signal sent by the motor in real time and monitor its frequency. The timer component stores the monitored pulse frequency data at a certain time interval, and the stored data can be viewed in the historical data query interface of the PLC.

[0055] In the S2 real-time calculation of conveyor belt speed and workpiece position, the frequency of the PLC calculating the conveyor belt speed and workpiece position is consistent with the frequency of the signal sent by the motor.

[0056] In the S3 station area judgment and process time estimation, when the PLC calculates the station area and position where the workpiece is located according to the distance between stations, the user is allowed to set a tolerance range for the station area in the PLC. When the workpiece position fluctuates within this tolerance range, the PLC considers that it is still in this station area.

[0057] In the S4 early trigger of inspection signal, when determining the time required for the software system to judge and the communication between the software system and the PLC, the communication performance data between different types of software systems and the PLC are stored in the database. The PLC automatically calls the corresponding data from the database according to the currently used software system and PLC model. In addition, when the PLC sends an inspection signal in advance according to the formula, the advance amount is adjusted according to different product models or production tasks.

[0058] In the S5 judgment of production task completion, when the software system judges the completion of tasks for each station that needs to be inspected, for complex assembly tasks, a multi-step judgment logic is adopted, that is, the assembly task is divided into steps, and the completion of each step is evaluated separately.

[0059] In the S6 line stop signal decision-making and transmission, when the software system determines that multiple station tasks are not completed, an intelligent priority judgment mechanism is established. According to factors such as production process requirements and quality risks, the priority order of line stops is automatically determined, and problems with higher priority in affecting product quality and production processes are processed first, reducing unnecessary full-line stop time. The intelligent priority judgment mechanism established here is based on a weighted algorithm, including the following algorithms:

[0060] 1. Determine evaluation factors:

[0061] First of all, it is necessary to determine various factors that affect the line stop priority judgment. These factors include but are not limited to:

[0062] Quality risk (F 1 ): Evaluate the degree of influence of uncompleted tasks or potential quality problems on the quality of the final product. For example, a quality problem that causes product scrapping has a higher quality risk than a problem that only causes appearance defects;

[0063] Production efficiency impact (F 2 ): Consider the impact of line stops on the production efficiency of the entire production line. For example, a line stop at a certain station causes subsequent multiple stations to stop work or delays the overall production process;

[0064] Cost impact (F 3 ): Involve the additional costs brought by line stops, including rework costs, material waste, equipment wear and tear, etc.;

[0065] Delivery time impact (F 4 ): If the production task has strict delivery time requirements, then the stations that affect the delivery time should also be considered in the line stop decision. Stations that cause delivery delays will have a higher priority;

[0066] 2. Assign weights:

[0067] Assign a weight (w i ) to each evaluation factor. The weight reflects the relative importance of the factor in the overall evaluation. These weights meet the following conditions:

[0068] 0 ≤ w i ≤ 1

[0069] Indicates that the weight of each factor is between 0 and 1;

[0070]

[0071] That is, the sum of the weights of all factors is equal to 1.

[0072] For example, assume that the quality risk is considered the most important and a relatively high weight is assigned to it, such as w 1 = 0.5; the production efficiency impact is the second, w2 = 0.3; Cost impact w 3 = 0.15; Delivery time impact w 4 = 0.05.

[0073] 3. Determine factor scores:

[0074] For each work station, score each factor according to the specific production situation, and different scoring methods are used:

[0075] Quality risk scoring: Use a grade scoring system, such as 1 point (low risk), 2 points (medium risk), 3 points (high risk), or use continuous scores to represent different risk levels. For example, if the quality problem of work station A may cause partial function failure of the product but can be repaired, it is rated 2 points;

[0076] Production efficiency impact scoring: Score according to the estimated delay time, such as 0 points (no delay), 1 point (delay less than 5 minutes), 2 points (delay 5 - 10 minutes), 3 points (delay more than 10 minutes), etc.;

[0077] Cost impact scoring: Score according to the proportion of possible additional costs, such as 0 points (no additional cost), 1 point (additional cost less than 10%), 2 points (additional cost between 10% - 20%), 3 points (additional cost more than 20%)

[0078] Delivery time impact scoring: According to the degree of impact on the delivery time, such as 0 points (no impact), 1 point (delay in delivery for 1 day), 2 points (delay in delivery for 2 - 3 days), 3 points (delay in delivery for more than 3 days)

[0079] Calculate the comprehensive score:

[0080] For each work station, calculate the comprehensive score using the following formula:

[0081] Score = w 1 × F 1 + w 2 × F 2 + w 3 × F 3 + w 4 × F 4

[0082] For example, for work station A, assume its quality risk score is F 1 = 2, the production efficiency impact score is F 2 = 1, the cost impact score is F 3 = 0, the delivery time impact score is F 4 = 1, according to the above weights, its comprehensive score is calculated as follows:

[0083] ScoreA = 0.5×2 + 0.3×1 + 0.15×0 + 0.05×1 = 1.35

[0084] Example:

[0085] Suppose there are three workstations A, B, and C. The following are their evaluations and calculations:

[0086]

[0087] IV. Determination of Line Stop Priority

[0088] Based on the calculated comprehensive scores, we can determine the line stop priority: the higher the score, the higher the priority.

[0089] In the above example, the workstation B has the highest comprehensive score (2.25). Therefore, when a line stop is required, workstation B should be given priority; followed by workstation C (1.70); and finally workstation A (1.35).

[0090] In practical applications, by collecting historical data and summarizing experience, the weights and scoring criteria can be continuously adjusted and optimized. Moreover, in the actual production process, more accurate and diverse evaluation factors can be incorporated to make the weighted scoring algorithm conform to the production reality, providing a more scientific intelligent priority judgment basis for the automatic line stop technology and improving the efficiency of production management and the effectiveness of quality control.

[0091] During the execution of the S7 line stop instruction, a data analysis and mining mechanism is established to further deeply mine the data, analyze the correlation between the line stop reasons, workpiece defect types, and production parameters. At the same time, according to the triggered abnormal alarm types, the specific reasons for the current line stop are determined. The following is the established correlation calculation algorithm:

[0092] Frequent item set generation: Frequent item sets are generated through a layer-by-layer iterative method. First, scan the database to find all 1-item sets (item sets with a single element), calculate their support degrees, and filter out the 1-item sets that meet the minimum support degree threshold as frequent 1-item sets. Then, generate candidate 2-item sets based on the frequent 1-item sets, scan the database again to calculate the support degrees of the candidate 2-item sets, and filter out the frequent 2-item sets, and so on, until no new frequent item sets can be generated.

[0093] Support degree calculation:

[0094]

[0095] Where Support(X) represents the support degree of item set X, count(X) is the number of transactions containing item set X, and N is the total number of transactions;

[0096] Confidence calculation:

[0097]

[0098] Among them, Confidence(X→Y) represents the confidence of inferring item set Y from item set X, Support(X∪Y) is the support for the simultaneous occurrence of item sets X and Y, and Support(X) is the support for item set X.

[0099] Example: Suppose there are 100 production records (transactions), which involve information such as temperature (T), pressure (P), workpiece cracks (D), etc. After scanning the database, it is found that there are 30 records containing high temperature (T high ), and 20 records containing high temperature and workpiece cracks (T high ∪D).

[0100] Calculate the support for T h igh:

[0101]

[0102] Calculate the confidence from T h igh to D:

[0103]

[0104] If the minimum support is set to 0.2 and the minimum confidence is set to 0.6, then it can be considered that there is a certain correlation between high temperature and workpiece cracks.

[0105] During the execution of the S7 line stop instruction, when the line stop instruction is executed, the PLC controls the conveyor belt to gradually decelerate and stop, reducing the impact and wear on the production line equipment. At the same time, a vision detection system is established to monitor and feedback the actual instruction execution status of the equipment in the current area.

[0106] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic control line stop technology, characterized in that: The following steps are involved: S1: Basic data collection and initialization of production line A programmable logic controller is installed at a fixed position at the beginning or end of each production line. The production line motor is set to send a signal to the PLC every N revolutions. This is used as a trigger condition for data collection. Through joint debugging, engineers record the initial position information of the workpiece relative to the workstation in the PLC to complete system initialization. S2: Real-time calculation of conveyor belt speed and workpiece position Based on the received motor signal, the PLC calculates the conveyor speed in real time according to the formula "conveyor speed = distance the conveyor moves each time the signal is updated / time difference between two signals". At the same time, the PLC updates the position data of the workpiece on the production line in real time according to the formula "workpiece position on the production line = previous workpiece position on the production line + distance the conveyor moves each time the signal is updated". S3: Workstation area determination and process time estimation The PLC uses the two formulas "workstation area where the workpiece is located = workstation position on the production line / distance between workstations (integer division, the quotient is the workstation number)" and "workstation position in the workstation area = workpiece position on the production line % distance between workstations (% is the remainder of division)" to determine the workstation area where the workpiece is located and its specific position in the area. When it is determined that the workpiece has entered the designated workstation area, the PLC calculates the time when the workpiece leaves the workstation area based on the formula "estimated time to leave the workstation = (distance between workstations - current position of the workpiece) / conveyor belt speed"; S4: Check signal early triggering Based on the statistical results of production data in the recent period, PLC determines the time required for software system judgment and communication between the software system and PLC. PLC sends a check signal to the software system in advance according to the formula "time to trigger inspection = expected time to leave the workstation - time required for software system judgment and communication between the software system and PLC"; S5: Determine the completion status of production tasks After receiving the inspection signal from the PLC, the software system determines whether the processing, assembly or defect repair task of the current workpiece is completed for each workstation that needs to be inspected on the production line; S6: Stop signal decision and transmission If the software system determines that the workpiece task of a certain station is not completed, it will send a stop signal to the PLC; S7: Stop line command execution After the PLC receives the stop signal from the software system, it sends a stop command to the production line. The conveyor belt of the production line stops moving after receiving the stop command.

2. The automatic control line stop technology according to claim 1 is characterized in that: In the basic data collection and initialization of the S1 production line, signals are transmitted between the PLC and the production line motor via a high-speed pulse input interface, and the pulse signal frequency is monitored by a timer component during the transmission process.

3. The automatic control line stop technology according to claim 1 is characterized in that: The timer component in S1 is integrated inside the PLC, connected to the high-speed pulse input interface through the internal circuit, obtains the pulse signal sent by the motor in real time, and monitors its frequency. The timer component stores the monitored pulse frequency data at a certain time interval, and the stored data can be viewed in the historical data query interface of the PLC.

4. The automatic control line stop technology according to claim 1 is characterized in that: In the S2 real-time calculation of the conveyor belt speed and the workpiece position, the frequency at which the PLC calculates the conveyor belt speed and the workpiece position is consistent with the frequency of the signal sent by the motor.

5. The automatic control line stop technology according to claim 1 is characterized in that: In the S3 workstation area judgment and process time estimation, when the PLC calculates the workstation area and position of the workpiece based on the distance between the workstations, the user is allowed to set a tolerance range for the workstation area in the PLC. When the workpiece position fluctuates within the tolerance range, the PLC considers that it is still in the workstation area.

6. The automatic control line stop technology according to claim 1, characterized in that: The S4 check signal is triggered in advance. When determining the software system judgment and the time required for the software system to communicate with the PLC, the communication performance data between different types of software systems and PLCs are stored in a database. The PLC automatically calls the corresponding data from the database according to the currently used software system and PLC model. In addition, when the PLC sends out the check signal in advance according to the formula, the advance amount is adjusted according to different product models or production tasks.

7. The automatic control line stop technology according to claim 1, characterized in that: When the software system in the S5 production task completion status judgment judges the task completion status of each workstation that needs to be inspected, for complex assembly tasks, a multi-step judgment logic is adopted, that is, the assembly task is divided into steps, and the completion status of each step is evaluated separately.

8. The automatic control line stop technology according to claim 1, characterized in that: In the S6 line stop signal decision and transmission, when the software system determines that multiple workstation tasks are not completed, an intelligent priority judgment mechanism is established to automatically determine the priority order of the line stop based on production process requirements, quality risks and other factors, give priority to handling issues with high priority affecting product quality and production process, and reduce unnecessary line stop time.

9. The automatic control line stop technology according to claim 1, characterized in that: A data analysis and mining mechanism is established during the execution of the S7 line stop instruction to further mine the data in depth, analyze the relationship between the line stop cause, the workpiece defect type and the production parameters, and determine the specific cause of the current line stop based on the type of abnormal alarm triggered.

10. The automatic control line stop technology according to claim 1, characterized in that: During the execution of the S7 line stop instruction, the PLC controls the conveyor belt to gradually slow down and stop, reducing the impact and wear on the production line equipment. At the same time, a visual inspection system is established to monitor and feedback the actual instruction execution status of the equipment in the current area.

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