Intelligent control method and system for plastic part spraying production line

Abstract

The invention relates to the technical field of plastic part spraying production lines, and discloses an intelligent control method and system for a plastic part spraying production line. According to the system, calculation and early warning are carried out through a feeding residual value, an environment temperature change value and a drying temperature change value, an early warning result is sent to a man-machine interaction control module, during early warning, when a feeding residual value # imgabs 1 # at a # imgabs 0 # moment is adopted, early warning is carried out, scheduling is carried out urgently, or scheduling is carried out preferentially, and then the system is controlled to be in a real-time mode. And a worker selects whether the spraying material supply rate of the spraying nodes is reduced or not, when # imgabs2 # or # imgabs3 # exceeds the safety range, the safety range is set when the production line is set, the specific position of the corresponding # imgabs4 # spraying node or # imgabs5 # drying area is output and provided for the man-machine interaction control module, and the man-machine interaction control module outputs the specific position of the corresponding # imgabs4 # spraying node or # imgabs5 # spraying node or # imgabs3 # spraying node or # imgabs3 # spraying node or # imgabs3 # spraying node or # imgabs3 # spraying node. Therefore, the man-machine interaction control module can better feed back to the maintenance personnel for processing.

Description

Technical Field

[0001] The present invention relates to the technical field of plastic parts spraying production lines, and in particular to an intelligent control method and system for a plastic parts spraying production line. Background Art

[0002] Shells made of plastic parts are widely used in the fields of mobile communications, electronics, automobiles, biomedical equipment, etc. Most of the existing plastic parts are obtained by injection molding of injection molding materials, and the material is mainly plastic. With the continuous improvement of people's living standards, the requirements for product shells are also constantly increasing. Plastic parts usually need to be sprayed and colored. In order to improve the spraying production efficiency of such plastic parts, the existing process is completed by setting up a spraying production line. The plastic parts to be colored are placed on the assembly line and transported to the spraying room to complete the spraying and transported to the next station, thereby improving the spraying efficiency. During the spraying and coloring process, in order to ensure the coloring effect of the product, it is necessary to spray the product in four directions from at least two angles. However, in the spraying room of the existing spraying production line, only a pair of spray guns are arranged in the same direction. In this way, when coloring, it is necessary to spray horizontally once, and then rotate 90 degrees to move the spray gun to spray again. Therefore, when the product is colored, the plastic parts to be sprayed on the assembly line cannot be transported continuously, and it is necessary to pause after each batch of products is sprayed, and wait for the products in the spraying room to be rotated and sprayed again before continuing. However, most of the existing plastic parts spraying production lines require manual attention to various parameter indicators at all times, and manual warnings are issued when a certain parameter indicator is abnormal. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides an intelligent control method and system for a plastic parts spraying production line, which has the advantages of timely early warning and automatic control, and solves the above-mentioned technical problems.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent control system for a plastic parts spraying production line, comprising a production data control module, a production data analysis module, a spraying production early warning scheduling module and a human-computer interaction control module;

[0005] The production data control module includes a feeding unit, a temperature control unit and a drying unit. The feeding unit is used to supply raw materials in the process of spraying plastic parts and record the spray material supply rate of the current production line. The temperature control unit is used to adjust and control the temperature of the production environment of the plastic parts spraying production line and record the temperature of the current production environment of the plastic parts spraying production line. The drying unit is used to dry the paint in the production process of the plastic parts spraying production line and record the drying temperature.

[0006] The production data analysis module includes a production process data analysis unit and a conveying path planning unit;

[0007] The production process data analysis unit includes a feed analysis subunit, a temperature analysis subunit and a drying temperature analysis subunit. The feed analysis subunit performs a comprehensive calculation based on the current production line spray material supply rate and the current inventory situation to obtain a feed remaining value. The temperature analysis subunit performs an analysis based on the temperature of the production environment of the plastic parts spraying production line to obtain an ambient temperature change value. The drying temperature analysis subunit performs an analysis based on the drying temperature to obtain a drying temperature change value. The production process data analysis unit sends the calculated feed remaining value, ambient temperature change value and drying temperature change value to the spraying production early warning scheduling module respectively.

[0008] The conveying path planning unit is used to plan the path for conveying and transferring the finished materials, and send the planned path to the human-computer interaction control module;

[0009] The spray production early warning scheduling module calculates early warning based on the remaining value of the feed material, the ambient temperature change value and the drying temperature change value, and sends the early warning result to the human-computer interaction control module;

[0010] The human-machine interaction control module performs personnel scheduling based on the warning results of the spraying production warning scheduling module, and schedules maintenance personnel who are at idle time for maintenance.

[0011] As a preferred technical solution of the present invention, the specific expression for recording the spray coating supply rate of the current production line by the feeding unit is as follows:

[0012]

[0013] in, represents the current production line spray paint supply rate data set, They represent the material supply rate of the first spraying node of the production line, , production line The material supply rate of each spraying node, , production line The material supply rate of each spraying node and the production line The specific expression of the paint supply rate of each spraying node is as follows:

[0014]

[0015] in, Indicates production line The total amount consumed by each spraying node for complete spraying of plastic parts. represents the sampling interval, Indicates the interval time.

[0016] As a preferred technical solution of the present invention, the specific expression for recording the temperature of the current production environment of the plastic parts spraying production line by the temperature control unit is as follows:

[0017]

[0018] in, Represents the production environment temperature dataset, Respectively The spraying ambient temperature of the first spraying node of the production line at that moment, , Time production line The spraying environment temperature of each spraying node, , Time production line The spraying environment temperature of the spraying node is Time production line The spraying environment temperature of each spraying node The specific expression is as follows:

[0019]

[0020] in, Indicates production line The first time the spraying environment temperature of the spraying node is collected The collected temperature at each sampling point, represents the total number of sampling points, Indicates that all production lines The collected temperatures of the sampling points for collecting the spraying ambient temperature of each spraying node are summed up.

[0021] As a preferred technical solution of the present invention, the specific expression of the drying temperature of the coating during the production process of the plastic parts spraying production line recorded by the drying unit is as follows:

[0022]

[0023] in, represents the drying temperature dataset, Respectively The temperature of the first drying area of ​​the production line at that moment, , Time production line Drying area temperature, , Time production line Drying area temperature.

[0024] As a preferred technical solution of the present invention, the specific expression of the remaining value of the material supply obtained by the material supply analysis subunit through comprehensive calculation based on the current production line spray paint supply rate and the current inventory situation is as follows:

[0025]

[0026] in, express The remaining value of feeding at the moment, Indicates the total value of spray paint in current inventory, Indicates currently enabled The sum of the material supply rates of each spraying node.

[0027] As a preferred technical solution of the present invention, the temperature analysis subunit analyzes the temperature of the production environment of the plastic parts spraying production line, and obtains the specific expression of the ambient temperature change value as follows:

[0028]

[0029] in, represents the sampling interval, express Time production line The change value of the spraying environment temperature of each spraying node, express Time production line The change value of the spraying environment temperature of each spraying node.

[0030] As a preferred technical solution of the present invention, the drying temperature analysis subunit performs analysis based on the drying temperature to obtain a specific expression of the drying temperature change value as follows:

[0031]

[0032] in, express Time production line Temperature change value of drying area, express Time production line The drying area temperature, represents the sampling interval, express Time production line The drying area temperature, Indicates absolute value.

[0033] As a preferred technical solution of the present invention, the specific steps of the transport path planning unit for path planning are as follows:

[0034] Step A1: Take the currently produced material as the origin, establish an XOY coordinate system, and determine the coordinates of the delivery end point;

[0035] Step A2: Calculate the weights of all paths leading to the delivery destination and select the one with the smallest weight;

[0036] Step A3: Transport according to the path output in step A2.

[0037] As a preferred technical solution of the present invention, the specific expression for calculating the weights of all paths leading to the delivery destination in step A2 is as follows:

[0038]

[0039] in, Indicates the total number of forks from the current production completed material point to the transportation end point. , Indicates that the conveying equipment is at the fork The coordinates of , Indicates the coordinates of the transport end point, Indicates a fork The waiting time.

[0040] The present invention also provides an intelligent control method for a plastic parts spraying production line, based on the above-mentioned intelligent control system for a plastic parts spraying production line, comprising the following steps:

[0041] Step 1: Record the current production line spray paint supply rate, the current plastic parts spray production line production environment temperature and the plastic parts spray production line paint drying process drying temperature;

[0042] Step 2: Based on the current production line spray paint supply rate and current inventory situation, a comprehensive calculation is performed to obtain the remaining supply value;

[0043] Step 3: Analyze the temperature of the production environment of the plastic parts spraying production line to obtain the ambient temperature change value;

[0044] Step 4: Analyze based on the drying temperature to obtain the drying temperature change value;

[0045] Step 5: Calculate and issue an early warning based on the remaining value of the feed material, the change value of the ambient temperature, and the change value of the drying temperature, and determine whether to send the early warning result to the staff;

[0046] Step 6: Plan the transportation route for the completed materials, and transport them according to the planned route.

[0047] Compared with the prior art, the present invention provides an intelligent control method and system for a plastic parts spraying production line, which has the following beneficial effects:

[0048] 1. The present invention calculates and warns the remaining value of the feed material, the change value of the ambient temperature and the change value of the drying temperature, and sends the warning result to the human-computer interaction control module. When the warning is issued, Remaining value of feeding at the moment When the spraying node is in operation, an early warning will be issued, and emergency dispatch or preferential dispatch will be carried out. The staff will choose whether to reduce the spray material supply rate at the spraying node. Time production line The change value of the spraying environment temperature of each spraying node or Time production line Temperature change of drying area If the safety range is exceeded, the corresponding output The injection node or The specific location of each drying area is provided to the human-computer interaction control module, so that the human-computer interaction control module can better feedback to the maintenance personnel for processing.

[0049] 2. The present invention obtains the result by calculation after considering all the forks in the road clearly, thereby ensuring that the path is the optimal path and at the same time satisfies the shortest waiting time, ensuring that the conveying equipment or conveying robot can convey the sprayed materials in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the system framework of the present invention;

[0051] Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] See also Figure 1-Figure 2 , an intelligent control system for a plastic parts spraying production line, including a production data control module, a production data analysis module, a spraying production early warning scheduling module and a human-computer interaction control module;

[0054] The production data control module includes a feeding unit, a temperature control unit and a drying unit. The feeding unit is used to supply raw materials in the process of spraying plastic parts and record the current production line spray material supply rate. The temperature control unit is used to adjust and control the temperature of the production environment of the plastic parts spraying production line and record the current temperature of the production environment of the plastic parts spraying production line. The drying unit is used to dry the paint in the production process of the plastic parts spraying production line and record the drying temperature. The specific expression of the feeding unit recording the current production line spray material supply rate is as follows:

[0055]

[0056] in, represents the current production line spray paint supply rate data set, They represent the material supply rate of the first spraying node of the production line, , production line The material supply rate of each spraying node, , production line The material supply rate of each spraying node and the production line The specific expression of the paint supply rate of each spraying node is as follows:

[0057]

[0058] in, Indicates production line The total amount consumed by each spraying node for complete spraying of plastic parts. represents the sampling interval, Indicates the intermittent time. The specific expression for the temperature control unit to record the temperature of the current production environment of the plastic parts spraying production line is as follows:

[0059]

[0060] in, Represents the production environment temperature dataset, Respectively The spraying ambient temperature of the first spraying node of the production line at that moment, , Time production line The spraying environment temperature of each spraying node, , Time production line The spraying environment temperature of each spraying node, Time production line The spraying environment temperature of each spraying node The specific expression is as follows:

[0061]

[0062] in, Indicates production line The first time the spraying environment temperature of the spraying node is collected The collected temperature at each sampling point, represents the total number of sampling points, Indicates that all production lines The temperature collected at the sampling points of the spraying node spraying environment temperature is summed up, and the specific expression of the drying temperature recorded by the drying unit during the production process of the plastic parts spraying production line is as follows:

[0063]

[0064] in, represents the drying temperature dataset, Respectively The temperature of the first drying area of ​​the production line at that moment, , Time production line Drying area temperature, , Time production line Drying area temperature;

[0065] The production data analysis module includes a production process data analysis unit and a conveying path planning unit;

[0066] The production process data analysis unit includes a feed analysis subunit, a temperature analysis subunit and a drying temperature analysis subunit. The feed analysis subunit performs a comprehensive calculation based on the current production line spray paint supply rate and the current inventory situation to obtain the remaining feed value. The temperature analysis subunit performs an analysis based on the temperature of the production environment of the plastic parts spraying production line to obtain the ambient temperature change value. The drying temperature analysis subunit performs an analysis based on the drying temperature to obtain the drying temperature change value. The production process data analysis unit sends the calculated remaining feed value, ambient temperature change value and drying temperature change value to the spraying production early warning scheduling module respectively. The feed analysis subunit performs a comprehensive calculation based on the current production line spray paint supply rate and the current inventory situation to obtain the specific expression of the remaining feed value as follows:

[0067]

[0068] in, express The remaining value of feeding at the moment, Indicates the total value of spray paint in current inventory, Indicates currently enabled The temperature analysis subunit analyzes the temperature of the production environment of the plastic parts spraying production line based on the sum of the spray material supply rates of the spraying nodes. The specific expression of the ambient temperature change value is as follows:

[0069]

[0070] in, represents the sampling interval, express Time production line The change value of the spraying environment temperature of each spraying node, express Time production line The drying temperature analysis subunit analyzes the drying temperature based on the spraying environment temperature change value, and the specific expression of the drying temperature change value is as follows:

[0071]

[0072] in, express Time production line Temperature change value of drying area, express Time production line The drying area temperature, represents the sampling interval, express Time production line The drying area temperature, Indicates absolute value. The production data analysis module combines the changes in feeding, temperature and drying temperature to conduct in-depth analysis to help operators better understand the production status and reduce decision-making errors caused by human factors.

[0073] The conveying path planning unit is used to plan the path for conveying and transferring the finished materials, and send the planned path to the human-computer interaction control module. The specific steps of the conveying path planning unit for path planning are as follows:

[0074] Step A1: Take the currently produced material as the origin, establish an XOY coordinate system, and determine the coordinates of the delivery end point;

[0075] Step A2: Calculate the weights of all paths leading to the delivery destination and select the one with the smallest weight. The specific expression for calculating the weights of all paths leading to the delivery destination in step A2 is as follows:

[0076]

[0077] in, Indicates the total number of forks from the current production completed material point to the transportation end point. , Indicates that the conveying equipment is at a fork The coordinates of , Indicates the coordinates of the transport end point, Indicates a fork The waiting time is calculated after all the forks are taken into consideration, so as to ensure that the path is the optimal path and the waiting time is the shortest, so that the conveying equipment or conveying robot can deliver the sprayed materials in time;

[0078] Step A3: transport according to the path output in step A2;

[0079] The spray production early warning scheduling module calculates early warning based on the remaining value of feed material, ambient temperature change value and drying temperature change value, and sends the early warning result to the human-computer interaction control module. Remaining value of feeding at the moment When a warning is issued, expedited dispatch or preferential dispatch is carried out, and the staff can choose whether to reduce the spray material supply rate of the spraying node. Indicates the scheduling time. or If the safety range is exceeded, the corresponding output The injection node or The specific location of each drying area is provided to the human-machine interactive control module, so that the human-machine interactive control module can better feedback to the maintenance personnel to handle it. The spray production early warning scheduling module can calculate and issue early warnings based on real-time data, so that problems can be revealed and handled before affecting production. This active early warning mechanism can effectively reduce the risk of equipment damage and production delays. By monitoring the feed rate, temperature and drying status in real time, the system can provide instant early warnings to ensure that any potential problems can be quickly handled. This response mechanism can significantly reduce the downtime of the production line, thereby improving overall production efficiency and output;

[0080] The human-computer interaction control module performs personnel scheduling based on the warning results of the spray production warning scheduling module, and schedules maintenance personnel who are idle at the moment for maintenance. The human-computer interaction control module monitors the status of all maintenance personnel in real time, including their current tasks, locations, and work progress. This information can help the system make more accurate decisions when scheduling personnel. Maintenance personnel can update their own status (including: under repair, on standby, and completed tasks) or be assigned tasks by superiors to improve the accuracy and real-time nature of information. The human-machine interaction control module identifies the maintenance personnel in various states of under repair, on standby, and completed tasks, and selects the maintenance personnel on standby and completed tasks for processing. The human-machine interaction control module will retain all scheduling records, including warning events, scheduled personnel, processing time, and problem solving status, providing a basis for subsequent data analysis. Once a scheduling command is issued, the system will ensure that maintenance personnel receive scheduling information in a timely manner through a visual interface and message push (such as mobile APP notifications, desktop reminders, etc.). By effectively integrating the human-machine interaction control module with the spray production warning scheduling module, the plastic parts spraying production line has realized intelligent human resource scheduling management, which can not only quickly respond to production abnormalities and improve fault handling efficiency, but also the human-machine interaction control module can reasonably allocate idle maintenance personnel based on real-time warning information to ensure that the right people can quickly intervene at critical moments, thereby improving the response capability and processing efficiency of the production line.

[0081] The human-machine interaction control module provides a user interface to display various data of the production line in real time, including feed rate, ambient temperature, and drying temperature. It enables operators to quickly identify production status and potential problems through charts and dashboards. It supports multiple view modes and displays warning information from the spray production warning scheduling module, such as low feed remaining, abnormal ambient temperature, or substandard drying temperature. The warning information will attract the attention of operators through color coding (such as red alarm, yellow warning) and sound prompts to ensure that important information can be conveyed in a timely manner. It provides detailed warning information descriptions, including the time when the problem occurred, the scope of impact, and recommended treatment measures to help operators respond quickly. At the same time, it records key data in the production process, including all warning events, personnel scheduling history and response time, and sets different levels of user permissions to ensure that only authorized personnel can use advanced functions, such as system settings, data analysis, and operation log retrieval. The human-machine interaction control module is the bridge of the intelligent control system of the plastic parts spraying production line, ensuring that the system can operate efficiently and stably, while providing operators with necessary information and support to improve the overall efficiency and safety of the production line. Through the design and implementation of this module, operators can more effectively grasp the production process, adjust and optimize operations at any time, and effectively reduce the risks caused by human factors.

[0082] The present invention also provides an intelligent control method for a plastic parts spraying production line, based on the above-mentioned intelligent control system for a plastic parts spraying production line, comprising the following steps:

[0083] Step 1: Record the current production line spray paint supply rate, the current plastic parts spray production line production environment temperature and the plastic parts spray production line paint drying process drying temperature;

[0084] Step 2: Based on the current production line spray paint supply rate and current inventory situation, a comprehensive calculation is performed to obtain the remaining supply value;

[0085] Step 3: Analyze the temperature of the production environment of the plastic parts spraying production line to obtain the ambient temperature change value;

[0086] Step 4: Analyze based on the drying temperature to obtain the drying temperature change value;

[0087] Step 5: Calculate and issue an early warning based on the remaining value of the feed material, the change value of the ambient temperature, and the change value of the drying temperature, and determine whether to send the early warning result to the staff;

[0088] Step 6: Plan the transportation route for the completed materials, and transport them according to the planned route.

[0089] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent control system for a plastic parts spraying production line, characterized in that: It includes production data control module, production data analysis module, spraying production early warning scheduling module and human-computer interaction control module; The production data control module includes a feeding unit, a temperature control unit and a drying unit. The feeding unit is used to supply raw materials in the process of spraying plastic parts and record the spray material supply rate of the current production line. The temperature control unit is used to adjust and control the temperature of the production environment of the plastic parts spraying production line and record the temperature of the current production environment of the plastic parts spraying production line. The drying unit is used to dry the paint in the production process of the plastic parts spraying production line and record the drying temperature. The production data analysis module includes a production process data analysis unit and a conveying path planning unit; The production process data analysis unit includes a feed analysis subunit, a temperature analysis subunit and a drying temperature analysis subunit. The feed analysis subunit performs a comprehensive calculation based on the current production line spray material supply rate and the current inventory situation to obtain a feed remaining value. The temperature analysis subunit performs an analysis based on the temperature of the production environment of the plastic parts spraying production line to obtain an ambient temperature change value. The drying temperature analysis subunit performs an analysis based on the drying temperature to obtain a drying temperature change value. The production process data analysis unit sends the calculated feed remaining value, ambient temperature change value and drying temperature change value to the spraying production early warning scheduling module respectively. The conveying path planning unit is used to plan the path for conveying and transferring the finished materials, and send the planned path to the human-computer interaction control module; The spray production early warning scheduling module calculates early warning based on the remaining value of the feed material, the ambient temperature change value and the drying temperature change value, and sends the early warning result to the human-computer interaction control module; The human-machine interaction control module performs personnel scheduling based on the warning results of the spraying production warning scheduling module, and schedules maintenance personnel who are at idle time for maintenance.

2. The intelligent control system for a plastic parts spraying production line according to claim 1 is characterized in that: The specific expression for recording the spray paint supply rate of the current production line by the feeding unit is as follows: in, represents the current production line spray paint supply rate data set, They represent the material supply rate of the first spraying node of the production line, , production line The material supply rate of each spraying node, , production line The material supply rate of each spraying node and the production line The specific expression of the paint supply rate of each spraying node is as follows: in, Indicates production line The total amount consumed by each spraying node for complete spraying of plastic parts. represents the sampling interval, Indicates the interval time.

3. The intelligent control system for a plastic parts spraying production line according to claim 2 is characterized in that: The specific expression for the temperature control unit to record the temperature of the current production environment of the plastic parts spraying production line is as follows: in, Represents the production environment temperature dataset, Respectively The spraying ambient temperature of the first spraying node of the production line at that moment, , Time production line The spraying environment temperature of each spraying node, , Time production line The spraying environment temperature of the spraying node is Time production line The spraying environment temperature of each spraying node The specific expression is as follows: in, Indicates production line The first time the spraying environment temperature of the spraying node is collected The collected temperature at each sampling point, represents the total number of sampling points, Indicates that all production lines The collected temperatures of the sampling points for collecting the spraying ambient temperature of each spraying node are summed up.

4. The intelligent control system for a plastic parts spraying production line according to claim 3 is characterized in that: The specific expression of the drying temperature recorded by the drying unit during the production process of the plastic parts spraying production line is as follows: in, represents the drying temperature dataset, Respectively The temperature of the first drying area of ​​the production line at that moment, , Time production line Drying area temperature, , Time production line Drying area temperature.

5. The intelligent control system for a plastic parts spraying production line according to claim 4 is characterized in that: The specific expression of the remaining value of the material supply obtained by the material supply analysis subunit through comprehensive calculation based on the current production line spray paint supply rate and the current inventory situation is as follows: in, express The remaining value of feeding at the moment, Indicates the total value of spray paint in current inventory, Indicates currently enabled The sum of the material supply rates of each spraying node.

6. The intelligent control system for a plastic parts spraying production line according to claim 5 is characterized in that: The temperature analysis subunit analyzes the temperature of the production environment of the plastic parts spraying production line, and obtains the specific expression of the ambient temperature change value as follows: in, represents the sampling interval, express Time production line The change value of the spraying environment temperature of each spraying node, express Time production line The change value of the spraying environment temperature of each spraying node.

7. The intelligent control system for a plastic parts spraying production line according to claim 6 is characterized in that: The drying temperature analysis subunit performs analysis based on the drying temperature, and obtains a specific expression of the drying temperature change value as follows: in, express Time production line Temperature change value of drying area, express Time production line The drying area temperature, represents the sampling interval, express Time production line The drying area temperature, Indicates absolute value.

8. The intelligent control system for a plastic parts spraying production line according to claim 7 is characterized in that: The specific steps of the transport path planning unit for path planning are as follows: Step A1: Take the currently produced material as the origin, establish an XOY coordinate system, and determine the coordinates of the delivery end point; Step A2: Calculate the weights of all paths leading to the delivery destination and select the one with the smallest weight; Step A3: Transport according to the path output in step A2.

9. The intelligent control system for a plastic parts spraying production line according to claim 8, characterized in that: The specific expression for calculating the weights of all paths leading to the delivery destination in step A2 is as follows: in, Indicates the total number of forks from the current production completed material point to the transportation end point. , Indicates that the conveying equipment is at a fork The coordinates of , Indicates the coordinates of the transport end point, Indicates a fork The waiting time, Represents the weight value of the k-th selected path.

10. An intelligent control method for a plastic parts spraying production line, based on an intelligent control system for a plastic parts spraying production line according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Record the current production line spray paint supply rate, the current plastic parts spray production line production environment temperature and the drying temperature of the paint during the production process of the plastic parts spray production line; Step 2: Based on the current production line spray paint supply rate and current inventory situation, a comprehensive calculation is performed to obtain the remaining supply value; Step 3: Analyze the temperature of the production environment of the plastic parts spraying production line to obtain the ambient temperature change value; Step 4: Analyze based on the drying temperature to obtain the drying temperature change value; Step 5: Calculate and issue an early warning based on the remaining value of the feed material, the change value of the ambient temperature, and the change value of the drying temperature, and determine whether to send the early warning result to the staff; Step 6: Plan the transportation route for the completed materials, and transport them according to the planned route.

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