A control system for an automated production line

Abstract

The present invention relates to the field of numerical control machining technology, and in particular to a control system for an automated production line. The system includes a pre-production evaluation module, a production operation module, a capacity monitoring module, and a production scheduling optimization module. The present invention scans the parts to be processed through the pre-production evaluation module to quickly determine the initial production scheduling target, reduce manual intervention and decision-making time, thereby speeding up the speed of production preparation, ensures that each production line node is processed according to the initial arrangement number through the production operation module, and monitors the processing transition of the production line nodes through the capacity monitoring module, so that the transition of adjacent parts can be discovered in time. By dynamically adjusting the arrangement order of parts, not only the attribute transition of adjacent parts is relatively smooth, even if the width and thickness jump of adjacent parts are as small as possible and the temperature similarity of adjacent parts is close, but also it can better adapt to the actual situation of the production line, give priority to processing parts with high demand, and improve production efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of numerical control machining, and in particular to a control system for an automated production line. Background Art

[0002] A CNC machining center is a machine tool that uses computer digital control technology and can perform high-precision processing on various materials such as metals, plastics, and composite materials. It can achieve micron-level processing accuracy by precisely controlling the motion path of the tool through a computer. The same device can complete a variety of processing processes such as turning, milling, and drilling, and is suitable for the production of complex parts. Through software programming, the processing process can be automated. In the traditional CNC processing process, manual intervention and operation are frequent, that is, operators need to frequently move and replace parts, which increases the work intensity and causes the problem of high labor intensity. At the same time, time-consuming operations such as tool change, loading and unloading affect the processing efficiency, and the full utilization of the equipment cannot be achieved. In addition, manual operation inevitably results in errors, which affects the processing quality and production efficiency of parts. Therefore, there is an urgent need for an automatic loading and unloading production line control system to achieve a continuous production process without manual intervention and improve overall production efficiency.

[0003] The patent document with publication number CN117047563A discloses an automated production line based on industrial robots, which includes industrial robots, CNC lathes, automated silos, automatic detectors, automatic cleaning platforms, machining centers, and master control equipment. The present invention constructs an automated production line solution with multi-degree-of-freedom industrial robots as the core. Robots are used to complete the loading and unloading operations of blanks, and conveyor belts are used to complete the circulation of blanks and finished products. The automation of the entire production line is controlled by a combination of PLC and control panel; it can be seen that the existing production line control system lacks adaptive correction of parts processing sequences, resulting in low timely delivery rates and low production efficiency. Summary of the invention

[0004] To this end, the present invention provides a control system for an automated production line to overcome the problem in the prior art of lack of correlation analysis of the width and thickness jumps of adjacent parts and the actual production scheduling of the same type of parts as a whole, so as to dynamically adjust the parts arrangement order of the next cycle on the production line so that the transition difference between adjacent parts is large, resulting in low production efficiency.

[0005] To achieve the above object, the present invention provides a control system for an automated production line, comprising:

[0006] A pre-production evaluation module is used to scan various types of parts to be processed in any batch, and determine the corresponding initial production scheduling target according to the scanning results, wherein the initial production scheduling target includes an initial arrangement number;

[0007] A production operation module, which includes various production line nodes, any of which is used to process the parts to be processed in the current batch according to the initial arrangement number and output the processed target parts, and the production line node corresponds to each process on the production line;

[0008] A capacity monitoring module, which is used to monitor the processing transition conditions at the nodes of the production line in a preset monitoring cycle, so as to determine whether to optimize the parts arrangement sequence of the next monitoring cycle according to the monitoring results of the current monitoring cycle;

[0009] The production scheduling optimization module is used to update the arrangement order of parts at any production line node according to the update strategy and the similarity of the furnace-out temperatures of the adjacent target parts to obtain the final arrangement order.

[0010] Furthermore, the production capacity monitoring module includes a spectrum drawing unit and a curve analysis unit, wherein:

[0011] The spectrum drawing unit is used to obtain the part transition curve at any node of the production line;

[0012] The curve analysis unit is used to analyze the change trend of the part transition curve to determine whether to optimize the part arrangement sequence according to the analysis result.

[0013] Furthermore, the spectrum drawing unit includes a calculation subunit and a drawing subunit, wherein:

[0014] The calculation subunit calculates the width and thickness variation of two adjacent target parts;

[0015] The drawing subunit draws a curve of the width and thickness variation over time to generate the part transition curve.

[0016] Furthermore, the curve analysis unit includes a determination subunit, a marking subunit and a calculation subunit, wherein:

[0017] The determination subunit is used to obtain the distribution of each monitoring point on the part transition curve, and when there is a monitoring point that does not fall within the preset fluctuation range, determine to optimize the arrangement order of the parts;

[0018] The marking subunit is used to mark the monitoring points that do not fall within the preset fluctuation range to obtain the monitoring points to be updated;

[0019] The calculation subunit is used to obtain the percentage of the monitoring points to be updated in the total monitoring points, and obtain the real-time update ratio;

[0020] Wherein, the monitoring points correspond to the thickness variation corresponding to each of the target parts.

[0021] Furthermore, the production scheduling optimization module includes a strategy selection unit and a sequence update unit, wherein:

[0022] The strategy selection unit is used to select an update strategy for the monitoring point to be updated according to the real-time update ratio and the actual capacity utilization rate;

[0023] The sequence update unit is used to update the parts arrangement sequence according to the corresponding update strategy to obtain a first updated sequence, and to analyze the similarity of the furnace exit temperatures of any two adjacent parts of different types in the first updated sequence to update the first updated sequence to obtain a final arrangement sequence.

[0024] Furthermore, the strategy selection unit includes a selection analysis subunit,

[0025] The selection and analysis subunit is used to compare the standard update ratio with the real-time update ratio, and when the real-time update ratio is greater than or equal to the standard update ratio, obtain the actual capacity utilization rate, and determine the actual capacity utilization rate according to the standard capacity utilization rate.

[0026] Furthermore, the strategy selection unit further includes a first update strategy subunit, a second update strategy subunit and a third update strategy subunit, wherein:

[0027] The selection and analysis subunit is used to compare the standard update ratio with the real-time update ratio, and when the real-time update ratio is greater than or equal to the standard update ratio, obtain the actual capacity utilization rate, and determine the actual capacity utilization rate according to the standard capacity utilization rate;

[0028] The first update strategy subunit is used to select a wide thickness gradual update strategy when the real-time update ratio is less than the standard update ratio;

[0029] The second update strategy subunit is used to select a production quantity update strategy when the actual capacity utilization rate is less than the standard capacity utilization rate;

[0030] The third updating strategy subunit is used to select a priority gradual updating strategy when the actual capacity utilization is greater than or equal to the standard capacity utilization.

[0031] Furthermore, the width-thickness gradual update strategy is to update the monitoring points to be updated in the order of width-thickness from small to large, so as to obtain a first update order;

[0032] The production quantity update strategy is to increase the quantity of the same type of parts at the monitoring point to obtain a first update sequence;

[0033] The priority gradual update strategy is to update the monitoring points to be updated in order from large to small according to the actual production progress, so as to obtain a first update order.

[0034] Furthermore, the actual capacity utilization rate is the product of the quotient of the actual number of working days and the preset number of working days and the timely delivery rate.

[0035] Furthermore, the sequence updating unit updates the first update sequence in the order of the similarities of the out-of-furnace temperatures from large to small to obtain the final arrangement sequence.

[0036] Compared with the prior art, the beneficial effect of the present invention lies in that the parts to be processed are scanned through the pre-production evaluation module to quickly determine the initial production scheduling target, reduce manual intervention and decision-making time, thereby speeding up the production preparation speed, and ensuring that each production line node is processed according to the initial arrangement number through the production operation module, and the processing transition of the production line nodes is monitored through the capacity monitoring module, so that the transition of adjacent parts can be discovered in time, and by dynamically adjusting the parts arrangement order, not only the attribute transition of adjacent parts is relatively smooth, even the width and thickness jump of adjacent parts is as small as possible and the temperature similarity of adjacent parts is close, but also it can better adapt to the actual situation of the production line, give priority to processing parts with high demand, and improve production efficiency.

[0037] Furthermore, by comparing the real-time update ratio with the standard update ratio, the thickness jump degree of adjacent parts in the production process can be accurately analyzed, thereby analyzing the degree of attribute difference of adjacent parts, and optimizing the part sequence of the next cycle according to the degree of attribute difference, so as to improve the optimization accuracy and timeliness. When the real-time update ratio is less than the standard update ratio, it means that there are fewer adjacent parts with large thickness jumps in the production process, and the parts of the next cycle are re-sorted in the order of part width and thickness from small to large, so as to adjust the numbers corresponding to the monitoring points to be updated, so as to update the monitoring points to be updated. When the real-time update ratio is greater than or equal to the standard update ratio, it means that the thickness jump in the production process is large. There are more adjacent parts with large jumps. This situation is caused by the large jumps in width and thickness of different types of parts. Therefore, the order of parts cannot be adjusted only according to the changes in width and thickness. The actual production scheduling of parts must also be considered. The actual capacity utilization rate of each type of parts is calculated. When the actual capacity utilization rate is less than the standard capacity utilization rate, it means that the production scheduling of this type of parts is insufficient. The number of parts of the same type is increased to smooth the jumps in the attributes of adjacent parts. When the actual capacity utilization rate is greater than or equal to the standard capacity utilization rate, it means that the planned production scheduling is too much. The order of parts for the next monitoring cycle is updated according to the order of production scheduling priority to give priority to processing more important parts and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a connection diagram of a control system of an automated production line according to an embodiment of the present invention;

[0039] Figure 2 This is a connection diagram of a capacity monitoring module according to an embodiment of the present invention;

[0040] Figure 3 This is a connection diagram of a production scheduling optimization module according to an embodiment of the present invention;

[0041] Figure 4 Schematic diagram of the connection of the control system of the strategy selection unit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0044] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0045] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] See also Figure 1 As shown, it is a schematic diagram of the structure of a control system of an automated production line according to an embodiment of the present invention. The present invention provides a control system of an automated production line, including:

[0047] A pre-production assessment module is used to scan any batch of various types of parts to be processed, and determine the corresponding initial production scheduling target based on the scanning results. The initial production scheduling target includes the initial arrangement number, the expected production quantity, and the expected delivery time;

[0048] A production operation module, which includes various production line nodes, any of which is used to process the parts to be processed in the current batch according to the initial arrangement number, and output the target parts that have been processed;

[0049] The production line node corresponds to each process on the production line;

[0050] A capacity monitoring module, which is used to monitor the processing transition conditions at the nodes of the production line in a preset monitoring cycle, so as to determine whether to optimize the parts arrangement sequence of the next monitoring cycle according to the monitoring results of the current monitoring cycle;

[0051] The production scheduling optimization module is used to update the arrangement order of parts at any production line node according to the update strategy and the similarity of the furnace-out temperatures of the adjacent target parts to obtain the final arrangement order.

[0052] The automated production line in this embodiment also includes a chain pallet silo, which is controlled by PLC and can stop at the loading station and the robot grabbing station. The loading and unloading are completed by the staff at the loading station, and the loading and unloading process from the pallet silo to the CNC machining center is completed by two types of robots at the robot grabbing station. The chain pallet silo moves at a fixed distance, one type of robot grabs the parts in the order of arrangement of the parts to be processed, and the other type of robot grabs the parts in the order of the processing procedures of the parts to be processed. After the parts are processed, they are returned to the original position until the processing procedures of all the parts to be processed are completed before manual material replacement; production scheduling refers to industrial production Production plan; scan the parts to be processed through the pre-production assessment module to quickly determine the initial production scheduling target, reduce manual intervention and decision-making time, thereby speeding up the speed of production preparation; ensure that each production line node is processed according to the initial arrangement number through the production operation module, and monitor the processing transition of the production line nodes through the capacity monitoring module, so that the transition of adjacent parts can be discovered in time. By dynamically adjusting the arrangement order of parts, not only the attribute transition of adjacent parts is relatively smooth, even the width and thickness jump of adjacent parts is as small as possible and the temperature similarity of adjacent parts is close, but also it can better adapt to the actual situation of the production line, give priority to processing parts with high demand, and improve production efficiency.

[0053] In the automated production line control system of this embodiment, by optimizing the arrangement order of parts, a production sequence of a group of parts is found so that the property transition of adjacent parts is relatively smooth. This can be applied to steel hot rolling production lines. During the steel hot rolling process, the billet undergoes multiple processes such as heating and rolling. In each process, the part properties are characterized by the width and thickness of the billet plate, and the width and thickness changes of two adjacent billet plates are calculated. The width and thickness change curve over time is plotted as the part transition curve. The part change curve is analyzed and the real-time update ratio is calculated by counting the cases where the width and thickness changes are large. The real-time update ratio reflects the thickness jump degree of adjacent parts in the production process. By comparing it with the standard update ratio, it can be effectively determined whether the part arrangement order needs to be optimized. The part arrangement order is carried out in a manner that the temperature gradually decreases and the thickness gradually increases, ensuring that the temperature and thickness changes during the rolling process are smooth, reducing the burden on equipment and material loss.

[0054] The automated production line control system in this embodiment can also be applied to the fields of aluminum alloy extrusion production lines, plastic injection molding production lines, etc., wherein, in the aluminum alloy extrusion process, the arrangement order of the parts is carried out according to the gradually decreasing temperature and the similarity of the alloy composition of adjacent parts, thereby ensuring smooth temperature changes during the extrusion process and reducing the influence of the alloy composition on the product performance; in the plastic injection molding process, different types of plastic particles need to control the temperature and fluidity during the melting and injection process, and the arrangement order of the parts is carried out according to the gradually decreasing melting point and gradually increasing fluidity, thereby ensuring smooth temperature and fluidity changes during the injection molding process and improving the molding quality of the product.

[0055] See also Figure 2 As shown, it is a connection diagram of the capacity monitoring module according to an embodiment of the present invention;

[0056] Specifically, the production capacity monitoring module includes a spectrum drawing unit and a curve analysis unit, wherein:

[0057] The spectrum drawing unit is used to obtain the part transition curve at any node of the production line;

[0058] The curve analysis unit is used to analyze the change trend of the part transition curve to determine whether to optimize the part arrangement sequence according to the analysis result.

[0059] Specifically, the spectrum drawing unit includes a calculation subunit and a drawing subunit, wherein:

[0060] The calculation subunit calculates the width and thickness variation of two adjacent target parts;

[0061] The drawing subunit draws a curve of the width and thickness variation over time to generate the part transition curve.

[0062] In actual production, the smaller the width and thickness jump transition between adjacent parts, the better. By monitoring the width and thickness changes of the processed parts and drawing curves, the part processing arrangement sequence at the production line nodes can be monitored simply and intuitively, and the processing arrangement sequence can be optimized according to the actual production results to improve production efficiency.

[0063] Specifically, the curve analysis unit includes a determination subunit, a marking subunit and a calculation subunit, wherein:

[0064] The determination subunit is used to obtain the distribution of each monitoring point on the part transition curve, and when there is a monitoring point that does not fall within the preset fluctuation range, determine to optimize the arrangement order of the parts;

[0065] The marking subunit is used to mark the monitoring points that do not fall within the preset fluctuation range to obtain the monitoring points to be updated;

[0066] The calculation subunit is used to obtain the percentage of the monitoring points to be updated in the total monitoring points, and obtain the real-time update ratio;

[0067] Wherein, the monitoring points correspond to the thickness variation corresponding to each of the target parts.

[0068] In this embodiment, a standard fluctuation range is set, and the standard fluctuation range is between (-ΔXb, +ΔXb), ΔXb is the standard thickness variation, and the standard thickness variation is set between 300mm-600mm, which is selected according to the actual part processing requirements.

[0069] Whether the monitoring point falls into the standard fluctuation range is determined to determine whether the parts arrangement order is optimized. The monitoring point represents the width and thickness change of adjacent target parts. When the monitoring point is determined to fall into the standard fluctuation range, it means that the width and thickness change of adjacent target parts is very small and meets the preset standard. When the monitoring point is determined not to fall into the standard fluctuation range, it means that the width and thickness change of adjacent target parts is large and does not meet the preset standard. The proportion of target parts that do not meet the preset standard is statistically analyzed to accurately control the parts arrangement order and make the transition smoother. On the one hand, it reduces the equipment loss caused by the large difference in thickness or temperature of adjacent parts to increase the service life of the equipment. On the other hand, it avoids unreasonable part processing sequence, affects the equipment production efficiency, and causes marks on the surface of parts, resulting in reduced product quality.

[0070] See also Figure 3 As shown, it is a connection diagram of the production scheduling optimization module according to an embodiment of the present invention;

[0071] Specifically, the production scheduling optimization module includes a strategy selection unit and a sequence update unit, wherein:

[0072] The strategy selection unit is used to select an update strategy for the monitoring point to be updated according to the real-time update ratio and the actual capacity utilization rate;

[0073] The sequence update unit is used to update the parts arrangement sequence according to the corresponding update strategy to obtain a first updated sequence, and to analyze the similarity of the furnace exit temperatures of any two adjacent parts of different types in the first updated sequence to update the first updated sequence to obtain a final arrangement sequence.

[0074] By controlling the wide thickness jump and temperature similarity of adjacent parts, the product quality fluctuation caused by temperature changes is reduced, ensuring the consistency and stability of the product.

[0075] See also Figure 4 As shown, it is a connection diagram of a control system of a strategy selection unit according to an embodiment of the present invention;

[0076] Specifically, the strategy selection unit includes a selection analysis subunit, a first update strategy subunit, a second update strategy subunit and a third update strategy subunit, wherein:

[0077] The selection and analysis subunit is used to compare the standard update ratio with the real-time update ratio, and when the real-time update ratio is greater than or equal to the standard update ratio, obtain the actual capacity utilization rate, and determine the actual capacity utilization rate according to the standard capacity utilization rate;

[0078] The first update strategy subunit is used to select a wide thickness gradual update strategy when the real-time update ratio is less than the standard update ratio;

[0079] The second update strategy subunit is used to select a production quantity update strategy when the actual capacity utilization rate is less than the standard capacity utilization rate;

[0080] The third updating strategy subunit is used to select a priority gradual updating strategy when the actual capacity utilization is greater than or equal to the standard capacity utilization.

[0081] The standard update ratio in this embodiment represents the proportion of adjacent target parts with large attribute transition differences in the current monitoring period. Generally, the standard update ratio is set between 3% and 10%, which is related to the part type and processing volume of the process and is selected according to the actual process requirements. The real-time update ratio represents the degree of thickness jump of adjacent parts in the overall production process at the production line node.

[0082] By comparing the real-time update ratio with the standard update ratio, the thickness jump degree of adjacent parts in the production process can be accurately analyzed, thereby analyzing the degree of attribute difference of adjacent parts, and optimizing the part sequence of the next cycle according to the degree of attribute difference, so as to improve the optimization accuracy and timeliness. When the real-time update ratio is less than the standard update ratio, it means that there are fewer adjacent parts with large thickness jumps in the production process, and the parts of the next cycle are re-sorted in the order of part width and thickness from small to large, so as to adjust the numbers corresponding to the monitoring points to be updated, so as to update the monitoring points to be updated. When the real-time update ratio is greater than or equal to the standard update ratio, it means that the thickness jump degree in the production process is There are many larger adjacent parts. This situation is caused by the large jumps in width and thickness of different types of parts. Therefore, the order of parts cannot be adjusted only according to the changes in width and thickness. The actual production scheduling of parts must also be considered. The actual capacity utilization of each type of parts is calculated. When the actual capacity utilization is less than the standard capacity utilization, it means that the production of this type of parts is insufficient. The number of parts of the same type is increased to smooth the jumps in the attributes of adjacent parts. When the actual capacity utilization is greater than or equal to the standard capacity utilization, it means that there are too many planned production schedules. The order of parts for the next monitoring cycle is updated according to the order of production scheduling priority to give priority to processing more important parts and improve production efficiency.

[0083] Specifically, the width-thickness gradual update strategy is to update the monitoring points to be updated in the order of width and thickness from small to large, so as to obtain a first update order;

[0084] The production quantity update strategy is to increase the quantity of the same type of parts at the monitoring point to obtain a first update sequence;

[0085] The priority gradual update strategy is to update the monitoring points to be updated in the order from large to small according to the actual production progress, so as to obtain a first update order;

[0086] Among them, increasing the number of similar parts means adjusting the expected production quantity to the revised expected production quantity Ns'=Ns×0.5×[1+(Pb-Ps) / Pb], Ns' is the revised expected production quantity, Ns is the expected production quantity, Ps is the actual capacity utilization rate, and Pb is the standard capacity utilization rate.

[0087] In this embodiment, the width-thickness = |width change|+|thickness change|. For example, there are two steel billets A and B, and their width-thickness are: width of part A: 100mm, thickness: 20mm; width of part B: 110mm, thickness: 25mm; width change = |100mm-110mm|=10mm, thickness change = |20mm-25mm|=5mm, therefore, the width-thickness change = 10mm+5mm=15mm.

[0088] When the real-time update ratio is less than the standard update ratio, choose to update the update monitoring points in the order of width and thickness from small to large, so as to reduce the width and thickness jumps between adjacent parts and ensure the smoothness of the processing process. When the actual capacity utilization rate is less than the standard capacity utilization rate, choose to increase the number of similar parts to balance the load of the production line by increasing the production quantity to ensure production efficiency. When the actual capacity utilization rate is greater than or equal to the standard capacity utilization rate, choose to update the update monitoring points in the order of actual production progress from large to small, which ensures the priority processing of important parts and improves production efficiency.

[0089] Specifically, the actual capacity utilization rate is the product of the quotient of the actual number of working days and the preset number of working days and the timely delivery rate.

[0090] Specifically, the sequence updating unit updates the first update sequence in the order of the similarities of the out-of-furnace temperatures from large to small to obtain the final arrangement sequence.

[0091] The similarity of the outgoing temperature in this embodiment refers to the degree of temperature difference between adjacent parts after processing during the production process. The higher the similarity of the outgoing temperature, the closer the outgoing temperatures of the two parts are, and vice versa. The temperature difference is large. The similarity of the outgoing temperature is between 0 and 1. The similarity of the outgoing temperature is the difference between 1 and the quotient of the temperature difference and the maximum outgoing temperature. The temperature difference is the absolute value of the difference in the outgoing temperatures of the two parts. The maximum outgoing temperature is the larger outgoing temperature of the two parts. For example, the outgoing temperatures of the two parts are 200°C and 205°C respectively, and the temperature difference is 5°C. The similarity of the outgoing temperature is 0.976. In this case, the temperature difference is only 5°C, and the similarity of the outgoing temperature is high.

[0092] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0093] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A control system for an automated production line, characterized in that: include, A pre-production evaluation module is used to scan various types of parts to be processed in any batch, and determine the corresponding initial production scheduling target according to the scanning results, wherein the initial production scheduling target includes an initial arrangement number; A production operation module, which includes various production line nodes, any of which is used to process the parts to be processed in the current batch according to the initial arrangement number and output the processed target parts, and the production line node corresponds to each process on the production line; A capacity monitoring module, which is used to monitor the processing transition conditions at the nodes of the production line in a preset monitoring cycle, so as to determine whether to optimize the parts arrangement sequence of the next monitoring cycle according to the monitoring results of the current monitoring cycle; A production scheduling optimization module is used to update the arrangement order of parts at any production line node according to the update strategy and the similarity of the furnace-out temperature of the adjacent target parts to obtain the final arrangement order; The production scheduling optimization module includes a strategy selection unit and a sequence update unit, wherein: The strategy selection unit is used to select an update strategy for the monitoring point to be updated according to the real-time update ratio and the actual capacity utilization rate; The sequence updating unit is used to update the parts arrangement sequence according to the corresponding update strategy to obtain a first updated sequence, and to analyze the similarity of the furnace exit temperatures of any two adjacent parts of different types in the first arrangement sequence to update the first arrangement sequence to obtain a final arrangement sequence; The strategy selection unit includes a selection analysis subunit, a first update strategy subunit, a second update strategy subunit and a third update strategy subunit, wherein: The selection and analysis subunit is used to compare the standard update ratio with the real-time update ratio, and when the real-time update ratio is greater than or equal to the standard update ratio, obtain the actual capacity utilization rate, and determine the actual capacity utilization rate according to the standard capacity utilization rate; The first update strategy subunit is used to select a wide thickness gradual update strategy when the real-time update ratio is less than the standard update ratio; The second update strategy subunit is used to select a production quantity update strategy when the actual capacity utilization rate is less than the standard capacity utilization rate; The third update strategy subunit is used to select a priority gradual update strategy when the actual capacity utilization is greater than or equal to the standard capacity utilization; The width-thickness gradual update strategy is to update the monitoring points to be updated in the order of width and thickness from small to large, so as to obtain a first update order; The production quantity update strategy is to increase the quantity of the same type of parts at the monitoring point to obtain a first update sequence; The priority gradual update strategy is to update the monitoring points to be updated in order from large to small according to the actual production progress, so as to obtain a first update order.

2. The control system of the automated production line according to claim 1, characterized in that: The production capacity monitoring module includes a spectrum drawing unit and a curve analysis unit, wherein: The spectrum drawing unit is used to obtain the part transition curve at any node of the production line; The curve analysis unit is used to analyze the change trend of the part transition curve to determine whether to optimize the part arrangement sequence according to the analysis result.

3. The control system of the automated production line according to claim 2, characterized in that: The spectrum drawing unit includes a calculation subunit and a drawing subunit, wherein: The calculation subunit calculates the width and thickness variation of two adjacent target parts; The drawing subunit draws a curve of the width and thickness variation over time to generate the part transition curve.

4. The control system of the automated production line according to claim 2, characterized in that: The curve analysis unit includes a determination subunit, a marking subunit and a calculation subunit, wherein: The determination subunit is used to obtain the distribution of each monitoring point on the part transition curve, and when there is a monitoring point that does not fall within the preset fluctuation range, determine to optimize the arrangement order of the parts; The marking subunit is used to mark the monitoring points that do not fall within the preset fluctuation range to obtain the monitoring points to be updated; The calculation subunit is used to obtain the percentage of the monitoring points to be updated in the total monitoring points, and obtain the real-time update ratio; Wherein, the monitoring points correspond to the thickness variation corresponding to each of the target parts.

5. The control system of the automated production line according to claim 1, characterized in that: The actual capacity utilization rate is the product of the quotient of the actual number of working days and the preset number of working days and the timely delivery rate.

6. The control system of the automated production line according to claim 1, characterized in that: The sequence updating unit updates the first arrangement sequence in descending order of the similarities of the out-of-furnace temperatures to obtain the final arrangement sequence.

Images