An automated production optimization system based on industrial Internet

Abstract

The present invention discloses an automated production optimization system based on the industrial Internet, comprising a data acquisition module, a production monitoring module and a production robot control module. The production monitoring module is used to monitor the process of production robots assembling products during the operation of the production line. The present invention obtains the difference information of the current production efficiency, the adjustable range of production efficiency and the processing efficiency of the target assembly process between production robots by monitoring the processing efficiency in the assembly process and the workload of a single production robot in the target assembly process. Finally, the transmission power of a device for wirelessly transmitting power to the robot is dynamically adjusted according to the optimization scheme, which can minimize the power loss in the wireless transmission process, improve the transmission efficiency, and provide favorable guarantees for the operation of intelligent power transmission and distribution and control equipment of the automated production line. The present invention has the characteristics of high production monitoring accuracy and strong real-time adjustment capability of wireless transmission power.

Description

Technical Field

[0001] The present invention relates to the field of robot production control technology, and in particular to an automated production optimization system based on industrial Internet. Background Art

[0002] As the key to the digital transformation of the manufacturing industry, the Industrial Internet is taking root in various scenarios in all walks of life. It achieves intelligence, automation and efficiency by closely connecting equipment, production lines, factories, suppliers, products and customers, bringing huge economic and social benefits to enterprises. However, the application of the Industrial Internet also faces many challenges. Shuzhineng can provide efficient and reliable Industrial Internet solutions to help enterprises better face the application of the Industrial Internet and its challenges.

[0003] In automated production lines that use production robots for production, the problem of low power transmission efficiency of the production line still occurs because it is difficult to fully grasp the on-site conditions and data. In the prior art, multiple performance inspection links are used to detect whether the data is traceable, and industrial interconnection is used to quickly transmit and store the power transmission information of the production line to meet the corresponding power transmission needs of the robots in the assembly process. However, the workload of different assembly processes on the production line is different, and even the operating power of different production robots in the same assembly process is significantly different. These differences affect the real-time completion of the production line by the robot, resulting in low power transmission efficiency of the wireless power transmission device in the production line to the production line robot. Therefore, it is very necessary to design an automated production optimization system based on the industrial Internet with high production monitoring accuracy and strong real-time adjustment capability of wireless power transmission power. Summary of the invention

[0004] The purpose of the present invention is to provide an automated production optimization system based on the industrial Internet to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an automated production optimization system based on the industrial Internet, comprising a data acquisition module, a production monitoring module and a production robot control module, wherein the data acquisition module is used to obtain information on the product assembly process in the production line; the production monitoring module is used to monitor the process of product assembly by the production robot during the operation of the production line; the production robot control module is used to output the monitoring results of the production monitoring module, and adjust the transmission power of the wireless power transmission device based on the monitoring results, and the data acquisition module, the production monitoring module and the production robot control module are communicatively connected with each other.

[0006] According to the above technical solution, the data acquisition module includes an assembly process data collection module and a product assembly information collection module. The assembly process data collection module is used to collect the assembly line operation data of the production line assembly process; the product assembly information collection module is used to collect the process information of the production robot assembling the product.

[0007] According to the above technical solution, the production monitoring module includes an assembly process monitoring module and a pipeline transmission analysis module. The assembly process monitoring module is used to monitor the process information of product assembly in the assembly process; the pipeline transmission analysis module is used to analyze the relationship between product transmissions between two adjacent assembly processes and limit the maximum production efficiency of the assembly process.

[0008] According to the above technical solution, the assembly process monitoring module includes a processing efficiency detection submodule and a process processing volume analysis submodule. The processing efficiency detection submodule is used to detect the processing efficiency of a single assembly process on a product; the process processing volume analysis submodule is used to analyze the processing volume required for the product in a single assembly process, and calculate the production efficiency value that needs to be adjusted in the assembly process so that the production robot can achieve a preset processing efficiency based on the obtained processing volume information.

[0009] According to the above technical solution, the operation method of the automated production optimization system includes the following steps:

[0010] Step S1: Connect the production line operation terminal in the enterprise's manufacturing workshop to the automated production optimization system to analyze the production status of the automated production line in the workshop;

[0011] Step S2: photographing the production images of the production robots in different assembly processes in the production line, obtaining relevant information on the production of products in the production line, building a production line monitoring database and importing the production information of the products in the production line;

[0012] Step S3: the system monitors the production process of the production robot in the assembly process of the production line, and analyzes the production efficiency of the production line robot based on the monitoring results, and obtains the power transmission adjustment scheme of the production line wireless power transmission device in the database according to the analysis results;

[0013] Step S4: The power transmission adjustment scheme of the wireless power transmission device of the production line is output to the automated production optimization system. The system receives the adjustment scheme information and transmits the execution instruction to the wireless power transmission device. The wireless power transmission device receives the transmission information and adjusts the power transmitted to the production line robot.

[0014] According to the above technical solution, step S2 includes:

[0015] Step S21: Monitor the working conditions of the robots on the production line in the workshop by means of a monitor installed in the production optimization system in the workshop, obtain the specific position of the robots in the shooting picture, and identify the working equipment placed by the robots in the corresponding area of ​​the production line in the picture by means of image feature recognition technology, and obtain the current production efficiency data of the robots on the production line based on the number of production equipment and the functional information of the production equipment retrieved from the production line monitoring database, wherein the production efficiency is proportional to the length of time the robots work in the production line;

[0016] Step S22: The system obtains complete three-dimensional data of the production line and imports it into the production line monitoring database, converts the product's size information and spatial position into digital information, and extracts the assembly process information in the current production line from the production line monitoring database, wherein the assembly process information includes the maximum number of assembly production robots that can act on the assembly process in an enabled state in a single assembly process, the current production efficiency of all enabled production robots in the assembly process, and the assembly model of the production robots in the assembly process.

[0017] According to the above technical solution, step S3 includes:

[0018] Step S31: importing the assembly line operation data of the assembly process of the production line and the process information of the production robot assembling the product into the production line monitoring database;

[0019] Step S32: by analyzing the processing efficiency information of the assembly process in each assembly stage, the number of products that flow out of the assembly product at the rear stage of the production line within the monitoring time period is analyzed, and the production efficiency of the production robot at the corresponding position in the assembly process is obtained;

[0020] Step S33: analyzing the workload of a single production robot in the monitored assembly process;

[0021] Step S34: Based on the analysis results of the processing efficiency in the current assembly process and the workload of a single production robot, the production efficiency of the corresponding production robot is adjusted to be the product of the adjusted production efficiency of the production robot at the corresponding position in the assembly process and the workload adjustment ratio of the robot in the assembly process.

[0022] According to the above technical solution, in step S32, the detection method for obtaining the system monitoring the assembly process processing efficiency is specifically:

[0023] Step S321: lock a random single assembly process in the current production line, and in the single assembly process, use a camera set above the discharge port of the assembly process to capture the discharge area of ​​the assembly line at that position, and after transmitting the area image to the automated production optimization system, extract the product feature information in the assembly line conveyor belt in the area image, and perform feature comparison with the features of the finished product in the enterprise database, detect the degree of completion of the product model based on the feature comparison result, and obtain the corresponding position of the locked single assembly process in the production line based on the proportion of the degree of completion and the number of assembly processes;

[0024] Step S322: After obtaining the corresponding position information of the selected single assembly process, the number of items passing through is analyzed by the interlayer item quantity detectors set on both sides of the conveyor belt in the discharge area. The interlayer item quantity detector is equipped with a force sensor. When the product passes through the interlayer item quantity detector, the product contacts the interlayer item quantity detector, and the internal force sensor detects that the pressure on the outside of the product exceeds the limit. The interlayer item quantity detector adds one to the number of products that have passed through. The number of products that have passed through obtained within the monitoring time period t is n. Then, the number of products processed by this assembly process within the monitoring time period is n, and the processing efficiency of this assembly process is n.

[0025] According to the above technical solution, in step S322, the method for obtaining the production efficiency of the production robot at the corresponding position in the assembly process is specifically:

[0026] Processing efficiency, maximum number of production robots to assemble R, the adjustable production efficiency range of production robots is [A01, A11], [A02, A12]... [A0R, A1R], the maximum production efficiency difference that can be set between adjacent production robots in the assembly process Extract the production efficiency values ​​of all the production robots in the assembly process that are in the enabled state from the production line monitoring database, and calculate the average production efficiency when When the production robot is adjusted at the corresponding position in the assembly process, the production efficiency when When the production robot is adjusted at the corresponding position in the assembly process, the production efficiency Among them, g is the number of times the production robot has adjusted its production efficiency, and the maximum value of g in a single monitoring period is 3. 误差 is the production efficiency adjustment error value of the production robot, c is the number of corresponding positions of the production robot from the beginning to the end of the process in the assembly process, and f(c) is the decreasing function of the production efficiency values ​​of adjacent production robots obtained by database retrieval.

[0027] According to the above technical solution, step S33 includes:

[0028] Step S331: After the assembly process detects that the product enters the process inlet, a single production robot in the current assembly process is randomly selected and calibrated, and the production robot is detected through the processing track set in the assembly process;

[0029] Step S332: In the assembly process production robot assembly model stored in the current production line monitoring database, set X first trajectory detection points at the product touch position and Y second trajectory detection points at the robot touch position during the production robot assembly process, and obtain the workload adjustment ratio of the assembly process robot by analyzing the triggering number x of the first trajectory detection points and the triggering number y of the second trajectory detection points within the monitoring time period t. Where S0 is the standard workload of the assembly process robot set by the management personnel.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by monitoring the processing efficiency in the assembly process and the workload of a single production robot in the target assembly process, obtains the difference information of the current production efficiency, the adjustable range of production efficiency and the processing efficiency of the target assembly process between the production robots, makes corresponding adjustments to the production efficiency of robots in different positions, performs process optimization based on automated workstations, optimizes the robot trajectory with the concept of eliminating waste, changes the workstation control logic with the idea of ​​synchronization and coordination, balances the welding time of the workstation robot with the line balance analysis production line based on the principle of the wooden barrel effect, and upgrades the timing standard with the shortest equipment action time, etc., and dynamically adjusts the transmission power of the wireless power transmission device to the robot according to the optimization scheme, so that the enterprise can obtain the best operating benefits with the least investment, so that the products have high quality, lower cost and shorter production cycle, minimize the power loss in the wireless power transmission process, improve the power transmission efficiency, and provide favorable guarantees for the operation of intelligent power transmission and distribution and control equipment of the automated production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 It is a schematic diagram of the module composition of an automated production optimization system based on the Industrial Internet provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] See also Figure 1 , an embodiment of the present invention provides a technical solution: an automated production optimization system based on industrial Internet, comprising:

[0035] The data acquisition module, the production monitoring module and the production robot control module are used to obtain information on the product assembly process in the production line; the production monitoring module is used to monitor the process of product assembly by the production robot during the operation of the production line; the production robot control module is used to output the monitoring results of the production monitoring module and adjust the transmission power of the wireless power transmission device based on the monitoring results. The data acquisition module, the production monitoring module and the production robot control module are connected to each other in communication.

[0036] The embodiments of the present invention monitor the processing efficiency in the assembly process and the workload of a single production robot in the target assembly process, obtain the difference information of the current production efficiency, the adjustable range of production efficiency and the processing efficiency of the target assembly process between the production robots, adjust the production efficiency of robots in different positions accordingly, optimize the process based on the automated workstation, optimize the robot trajectory with the concept of eliminating waste, change the workstation control logic with the idea of ​​synchronization and coordination, balance the welding time of the workstation robot with the line balance analysis production line based on the principle of the wooden barrel effect, upgrade the timing standard with the shortest equipment action time, etc., and dynamically adjust the transmission power of the wireless power transmission device to the robot according to the optimization plan, so that the enterprise can obtain the best operating benefits with the least investment, make the products have high quality, lower cost and shorter production cycle, minimize the power loss in the wireless power transmission process, improve the power transmission efficiency, and provide favorable guarantees for the operation of intelligent power transmission and distribution and control equipment of the automated production line.

[0037] The data collection module includes an assembly process data collection module and a product assembly information collection module. The assembly process data collection module is used to collect the assembly line operation data of the production line assembly process; the product assembly information collection module is used to collect the process information of the production robot assembling the product.

[0038] The production monitoring module includes an assembly process monitoring module and a pipeline transmission analysis module. The assembly process monitoring module is used to monitor the process information of product assembly in the assembly process; the pipeline transmission analysis module is used to analyze the relationship between product transmissions between two adjacent assembly processes and limit the maximum production efficiency of the assembly process.

[0039] The assembly process monitoring module includes a processing efficiency detection submodule and a process processing volume analysis submodule. The processing efficiency detection submodule is used to detect the processing efficiency of a single assembly process on a product; the process processing volume analysis submodule is used to analyze the processing volume required for the product in a single assembly process, and calculate the production efficiency value that needs to be adjusted in order for the production robot in the assembly process to achieve the preset processing efficiency based on the obtained processing volume information.

[0040] In a preferred embodiment, the operation method of the automated production optimization system comprises the following steps:

[0041] Step S1: Connect the production line operation terminal in the enterprise's manufacturing workshop to the automated production optimization system to analyze the production status of the automated production line in the workshop;

[0042] Step S2: photographing the production images of the production robots in different assembly processes in the production line, obtaining relevant information about the production of products in the production line, building a production line monitoring database and importing the production information of products in the production line;

[0043] Step S3: the system monitors the production process of the production robot in the assembly process of the production line, and analyzes the production efficiency of the production line robot based on the monitoring results, and obtains the power transmission adjustment scheme of the production line wireless power transmission device in the database according to the analysis results;

[0044] Step S4: The power transmission adjustment scheme of the wireless power transmission device of the production line is obtained and output to the automated production optimization system. The system receives the adjustment scheme information and transmits the execution instruction to the wireless power transmission device. The wireless power transmission device receives the transmission information and adjusts the power transmitted to the production line robot.

[0045] In this embodiment, step S2 includes:

[0046] Step S21: Monitor the working conditions of the robots on the production line in the workshop by means of a monitor installed in the production optimization system in the workshop, obtain the specific position of the robots in the shooting picture, and identify the working equipment placed by the robots in the corresponding area of ​​the production line in the picture by means of image feature recognition technology, and obtain the current production efficiency data of the robots on the production line based on the number of production equipment and the functional information of the production equipment retrieved from the production line monitoring database, wherein the production efficiency is proportional to the length of time the robots work in the production line;

[0047] Step S22: The system obtains complete three-dimensional data of the production line and imports it into the production line monitoring database, converts the product's size information and spatial position into digital information, and extracts the assembly process information in the current production line from the production line monitoring database, wherein the assembly process information includes the maximum number of assembly production robots that can act on the assembly process in an enabled state in a single assembly process, the current production efficiency of all enabled production robots in the assembly process, and the assembly model of the production robots in the assembly process.

[0048] In this embodiment, step S3 includes:

[0049] Step S31: importing the assembly line operation data of the production line assembly process and the process information of the production robot assembling the product into the production line monitoring database;

[0050] Step S32: by analyzing the processing efficiency information of the assembly process in each assembly stage, the number of products that flow out of the assembly product at the rear stage of the production line within the monitoring time period is analyzed, and the production efficiency of the production robot at the corresponding position in the assembly process is obtained;

[0051] Step S33: analyzing the workload of a single production robot in the monitored assembly process;

[0052] Step S34: Based on the analysis results of the processing efficiency in the current assembly process and the workload of a single production robot, the production efficiency of the corresponding production robot is adjusted to be the product of the adjusted production efficiency of the production robot at the corresponding position in the assembly process and the workload adjustment ratio of the robot in the assembly process.

[0053] The present invention is mainly applicable to manipulator production line robots, which use manipulators to assemble products. The assembly efficiency of the production line can be controlled by a production optimization system. When the flow rate of the production line is fast, the robot needs to be controlled to speed up the action and assembly speed, which causes the power consumption of the production robot to increase. The possibility of assembly errors after long-term operation increases.

[0054] This technical solution solves the problem that the workload of production robots at different positions in a single assembly process is different at the corresponding assembly positions, resulting in a large difference in product production efficiency between adjacent production robots over time. By monitoring the processing efficiency within the assembly process and the workload of a single production robot in the target assembly process, the production efficiency of different production robots is adjusted, so that the production efficiency of the production robot is consistent with the processing efficiency of the assembly process outlet, thereby improving the overall processing efficiency of the automated production optimization system.

[0055] In step S32 of this embodiment, the detection method for obtaining the system to monitor the processing efficiency of the assembly process is specifically:

[0056] Step S321: lock a random single assembly process in the current production line, and in the single assembly process, use a camera set above the discharge port of the assembly process to capture the discharge area of ​​the assembly line at that position, and after transmitting the area image to the automated production optimization system, extract the product feature information in the assembly line conveyor belt in the area image, and perform feature comparison with the features of the finished product in the enterprise database, detect the degree of completion of the product model based on the feature comparison result, and obtain the corresponding position of the locked single assembly process in the production line based on the proportion of the degree of completion and the number of assembly processes;

[0057] Step S322: After obtaining the corresponding position information of the selected single assembly process, the number of items passing through is analyzed by the interlayer item quantity detectors set on both sides of the conveyor belt in the discharge area. The interlayer item quantity detector is equipped with a force sensor. When the product passes through the interlayer item quantity detector, the product contacts the interlayer item quantity detector, and the internal force sensor detects that the pressure on the outside of the product exceeds the limit. The interlayer item quantity detector adds one to the number of products that have passed through. The number of products that have passed through obtained within the monitoring time period t is n. Then, the number of products processed by this assembly process within the monitoring time period is n, and the processing efficiency of this assembly process is n.

[0058] The number of outflowing goods is mainly related to the rated rate of the current assembly line stage. At the same time, the assembly rate of the production line robot will also have a certain impact on the speed of outflowing goods. The speed of assembly line goods transmission is kept within a certain range. When the production efficiency of the production line robot is maximized, it cannot exceed the speed of assembly line goods transmission. Therefore, the production efficiency of the production line robot is limited by the transmission speed of the assembly line. In order to ensure the integrity and smoothness of the overall assembly line production, it is necessary to ensure that the transmission speed difference between adjacent assembly processes during the operation of the assembly line is related to each other, and the transmission speed difference can be compensated by the production speed of the production line robot.

[0059] In step S322 of this embodiment, the method for obtaining the production efficiency of the production robot adjusted at the corresponding position in the assembly process is specifically as follows:

[0060] Processing efficiency, maximum number of production robots to assemble R, the adjustable production efficiency range of production robots is [A01, A11], [A02, A12]... [A0R, A1R], the maximum production efficiency difference that can be set between adjacent production robots in the assembly process Extract the production efficiency values ​​of all the production robots in the assembly process that are enabled in the production line monitoring database and calculate the average production efficiency when When the production robot is adjusted at the corresponding position in the assembly process, the production efficiency when When the production robot is adjusted at the corresponding position in the assembly process, the production efficiency Among them, g is the number of times the production robot has adjusted its production efficiency, and the maximum value of g in a single monitoring period is 3. 误差 is the production efficiency adjustment error value of the production robot, c is the number of corresponding positions of the production robot from the beginning to the end of the process in the assembly process, f(c) is the decreasing function of the production efficiency values ​​of adjacent production robots retrieved from the database, and the value of f(c) decreases as the value of C increases.

[0061] The production efficiency of the production robots in each assembly process can be adjusted. The sum of the production efficiency of the production robots in each assembly process cannot exceed the processing efficiency of the previous assembly process. Therefore, the production efficiency of the assembly line in actual production decreases as the assembly process is delayed. Under ideal circumstances, the production robots arranged in each assembly process can approach the processing efficiency of the previous assembly process.

[0062] This technical solution solves the problem that the current production efficiency of production robots varies greatly and it is difficult to reasonably adjust the production efficiency of multiple production robots in a short time. Based on the difference information of the current production efficiency, adjustable range of production efficiency and target assembly process processing efficiency between production robots, the production efficiency of robots in different positions is adjusted accordingly. While taking into account the strong correlation between the production efficiencies of adjacent production robots and improving the smoothness of assembly line production, the difference between the production efficiency of production robots and the processing efficiency of assembly processes can be unified to the greatest extent.

[0063] In this embodiment, step S33 includes:

[0064] Step S331: After the assembly process detects that the product enters the process inlet, a single production robot in the current assembly process is randomly selected and calibrated, and the production robot is detected through the processing track set in the assembly process;

[0065] Step S332: In the assembly process production robot assembly model stored in the current production line monitoring database, set X first trajectory detection points at the product touch position and Y second trajectory detection points at the robot touch position during the production robot assembly process, and obtain the workload adjustment ratio of the assembly process robot by analyzing the triggering number x of the first trajectory detection points and the triggering number y of the second trajectory detection points within the monitoring time period t. Where S0 is the standard workload of the assembly process robot set by the management personnel.

[0066] Each assembly process has a different workload, and the workload of the assembly process will affect the production efficiency of the production robot;

[0067] This technical solution solves the problem that different production robots have different structures in the production line, and the production capacity and production efficiency of different production robots will also be significantly different, resulting in the inability to accurately regulate the production efficiency of the corresponding production robots in the assembly process by detecting the production line processing efficiency. By analyzing the proportion of the trajectory detection points in the assembly model of the production robot in the assembly process being triggered, the production capacity of the production robot assigned to the current assembly process for the process processing volume is obtained, and by controlling the production efficiency of the production robot, the efficiency of the production robot in completing the workload of the process is adjusted, so that the process time difference for product modification between adjacent assembly processes is minimized, so that the automated production optimization system maximizes the production efficiency and improves the monitoring accuracy of the production optimization system.

[0068] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0069] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. 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. An automated production optimization system based on the Industrial Internet, characterized in that: It includes a data acquisition module, a production monitoring module and a production robot control module, wherein the data acquisition module is used to obtain information on the product assembly process in the production line; the production monitoring module is used to monitor the process of the production robot assembling the product during the operation of the production line; the production robot control module is used to output the monitoring results of the production monitoring module and adjust the transmission power of the wireless power transmission device based on the monitoring results, and the data acquisition module, the production monitoring module and the production robot control module are connected to each other in communication; The production monitoring module includes an assembly process monitoring module and an assembly line transmission analysis module. The assembly process monitoring module is used to monitor the process information of product assembly in the assembly process; The assembly line transmission analysis module is used to analyze the relationship between product transmission between two adjacent assembly processes and to limit the maximum production efficiency of the assembly process; The assembly process monitoring module includes a processing efficiency detection submodule and a process processing volume analysis submodule. The processing efficiency detection submodule is used to detect the processing efficiency of a single assembly process on a product; the process processing volume analysis submodule is used to analyze the processing volume required for the product in a single assembly process, and calculate the production efficiency value that needs to be adjusted in order for the production robot in the assembly process to achieve the preset processing efficiency based on the obtained processing volume information.

2. According to the industrial Internet-based automated production optimization system of claim 1, it is characterized by: The data acquisition module includes an assembly process data collection module and a product assembly information collection module. The assembly process data collection module is used to collect the assembly line operation data of the production line assembly process; the product assembly information collection module is used to collect the process information of the production robot assembling the product.

3. The automated production optimization system based on industrial Internet according to claim 2 is characterized in that: The operation method of the automated production optimization system comprises the following steps: Step S1: Connect the production line operation terminal in the enterprise's manufacturing workshop to the automated production optimization system to analyze the production status of the automated production line in the workshop; Step S2: photographing the production images of the production robots in different assembly processes in the production line, obtaining relevant information on the production of products in the production line, building a production line monitoring database and importing the production information of the products in the production line; Step S3: the system monitors the production process of the production robot in the assembly process of the production line, and analyzes the production efficiency of the production line robot based on the monitoring results, and obtains the power transmission adjustment scheme of the production line wireless power transmission device in the database according to the analysis results; Step S4: The power transmission adjustment scheme of the wireless power transmission device of the production line is output to the automated production optimization system. The system receives the adjustment scheme information and transmits the execution instruction to the wireless power transmission device. The wireless power transmission device receives the transmission information and adjusts the power transmitted to the production line robot.

4. The automated production optimization system based on industrial Internet according to claim 3 is characterized in that: The step S2 comprises: Step S21: Monitor the working conditions of the robots on the production line in the workshop by means of a monitor installed in the production optimization system in the workshop, obtain the specific position of the robots in the shooting picture, and identify the working equipment placed by the robots in the corresponding area of ​​the production line in the picture by means of image feature recognition technology, and obtain the current production efficiency data of the robots on the production line based on the number of production equipment and the functional information of the production equipment retrieved from the production line monitoring database, wherein the production efficiency is proportional to the length of time the robots work in the production line; Step S22: The system obtains complete three-dimensional data of the production line and imports it into the production line monitoring database, converts the product's size information and spatial position into digital information, and extracts the assembly process information in the current production line from the production line monitoring database, wherein the assembly process information includes the maximum number of assembly production robots that can act on the assembly process in an enabled state in a single assembly process, the current production efficiency of all enabled production robots in the assembly process, and the assembly model of the production robots in the assembly process.

5. The automated production optimization system based on industrial Internet according to claim 4 is characterized in that: The step S3 comprises: Step S31: importing the assembly line operation data of the assembly process of the production line and the process information of the production robot assembling the product into the production line monitoring database; Step S32: by analyzing the processing efficiency information of the assembly process in each assembly stage, the number of products that flow out of the assembly product at the rear stage of the production line within the monitoring time period is analyzed, and the production efficiency of the production robot at the corresponding position in the assembly process is obtained; Step S33: analyzing the workload of a single production robot in the monitored assembly process; Step S34: Based on the analysis results of the processing efficiency in the current assembly process and the workload of a single production robot, the production efficiency of the corresponding production robot is adjusted to be the product of the adjusted production efficiency of the production robot at the corresponding position in the assembly process and the workload adjustment ratio of the robot in the assembly process.

6. The automated production optimization system based on industrial Internet according to claim 5 is characterized in that: In step S32, the detection method for obtaining the system to monitor the processing efficiency of the assembly process is specifically: Step S321: lock a random single assembly process in the current production line, and in the single assembly process, use a camera set above the discharge port of the assembly process to capture the discharge area of ​​the assembly line at that position, and after transmitting the area image to the automated production optimization system, extract the product feature information in the assembly line conveyor belt in the area image, and perform feature comparison with the features of the finished product in the enterprise database, detect the degree of completion of the product model based on the feature comparison result, and obtain the corresponding position of the locked single assembly process in the production line based on the proportion of the degree of completion and the number of assembly processes; Step S322: After obtaining the corresponding position information of the selected single assembly process, the number of items passing through is analyzed by the interlayer item quantity detectors set on both sides of the conveyor belt in the discharge area. The interlayer item quantity detector is equipped with a force sensor. When the product passes through the interlayer item quantity detector, the product contacts the interlayer item quantity detector, and the internal force sensor detects that the pressure on the outside of the product exceeds the limit. The interlayer item quantity detector adds one to the number of products that have passed through. The number of products that have passed through obtained within the monitoring time period t is n. Then, the number of products processed by this assembly process within the monitoring time period is n, and the processing efficiency of this assembly process is n.

7. The automated production optimization system based on industrial Internet according to claim 6 is characterized in that: In step S322, the method for obtaining the production efficiency of the production robot at the corresponding position in the assembly process is specifically as follows: Processing efficiency, maximum number of production robots to assemble R, the adjustable production efficiency range of production robots is [A01, A11], [A02, A12]... [A0R, A1R], the maximum production efficiency difference that can be set between adjacent production robots in the assembly process Extract the production efficiency values ​​of all the production robots in the assembly process that are in the enabled state from the production line monitoring database, and calculate the average production efficiency when When the production robot is adjusted at the corresponding position in the assembly process, the production efficiency when When the production robot is adjusted at the corresponding position in the assembly process, the production efficiency Among them, g is the number of times the production robot has adjusted its production efficiency, and the maximum value of g in a single monitoring period is 3. 误差 is the production efficiency adjustment error value of the production robot, c is the number of corresponding positions of the production robot from the beginning to the end of the process in the assembly process, and f(c) is the decreasing function of the production efficiency values ​​of adjacent production robots obtained by database retrieval.

8. The automated production optimization system based on industrial Internet according to claim 7 is characterized in that: The step S33 comprises: Step S331: After the assembly process detects that the product enters the process inlet, a single production robot in the current assembly process is randomly selected and calibrated, and the production robot is detected through the processing track set in the assembly process; Step S332: In the assembly process production robot assembly model stored in the current production line monitoring database, set X first trajectory detection points at the product touch position and Y second trajectory detection points at the robot touch position during the production robot assembly process, and obtain the workload adjustment ratio of the assembly process robot by analyzing the triggering number x of the first trajectory detection points and the triggering number y of the second trajectory detection points within the monitoring time period t. Where S0 is the standard workload of the assembly process robot set by the management personnel.

Images