Industrial production line transfer supervision system based on industrial element universe technology

Abstract

The invention discloses an industrial production line transfer supervision system based on an industrial element universe technology, relates to the technical field of industry, and solves the problems that the same transfer mode adopted during product transfer of a current industrial production line cannot adapt to and adjust the transfer mode, and the quality of the transferred product cannot be checked. Comprising a parameter construction module, a data acquisition module, a data comparison module, a product analysis module, a result feedback module and an intelligent supervision module, the parameter construction module is used for constructing transfer parameters of an industrial production line, and the intelligent supervision module is used for intelligently setting supervision strength of transfer equipment corresponding to the industrial production line. The data comparison module is used for comparing the working data of the transfer equipment corresponding to the industrial production line, the product analysis module is used for analyzing the product conditions of the products transferred by the transfer equipment corresponding to the industrial production line, and the system adapts to adjustment of the transfer mode corresponding to the industrial production line and performs quality inspection on the transferred products.

Description

Technical Field

[0001] The present invention belongs to the technical field of industrial production lines, and specifically is an industrial production line transfer monitoring system based on industrial metaverse technology. Background Art

[0002] Industry is a social material production sector that exploits natural resources and processes various raw materials. Industry is the product of the development of social division of labor. After several development stages such as handicrafts and machinery industry, it is the main component of the secondary industry and is divided into light industry and heavy industry. In industrial production, in order to ensure production efficiency and production standardization, production and processing are usually carried out through industrial production lines, and the finished products are transported to the next process.

[0003] When transshipping products produced by industrial production lines, the same transshipment method or transshipment standard is usually used for the same product. The transshipment method and transshipment standard cannot be adjusted based on the transshipment data of the product in the previous period, and the quality of the transshipped products cannot be checked. To this end, we propose an industrial production line transfer supervision system based on industrial metaverse technology. Summary of the invention

[0004] The purpose of the present invention is to propose an industrial production line transfer supervision system based on industrial metaverse technology to solve the problems raised in the above background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An industrial production line transshipment supervision system based on industrial metaverse technology includes a database, a parameter construction module, a data acquisition module, a data comparison module, a product analysis module, a result feedback module, an intelligent supervision module and an industrial metaverse platform, wherein the database is used to store historical transshipment data and historical supervision data of the industrial production line and standard product diagrams of the products produced by the industrial production line; the parameter construction module is used to construct the transshipment parameters of the industrial production line, obtain the standard transshipment parameters of the transshipment equipment corresponding to the industrial production line and send them to the industrial metaverse platform, and the industrial metaverse platform sends the standard transshipment parameters of the transshipment equipment corresponding to the industrial production line to the data comparison module; the intelligent supervision module is used to intelligently set the supervision intensity of the transshipment equipment corresponding to the industrial production line, and the data upload rate of the transshipment equipment corresponding to the industrial production line is obtained by setting and fed back to the industrial metaverse platform, and the industrial metaverse platform sends the data upload rate of the transshipment equipment corresponding to the industrial production line to the data acquisition module; The data acquisition module is used to collect real-time transfer data and real-time product data when the industrial production line is actually working according to the data upload rate, and upload the real-time transfer data and real-time product data to the industrial metaverse platform, and the industrial metaverse platform sends the real-time transfer data to the data comparison module, and the industrial metaverse platform sends the real-time product data to the product analysis module; the data comparison module is used to compare the working data of the transfer equipment corresponding to the industrial production line, and the comparison generates a transfer abnormality signal or a transfer normal signal and feeds it back to the industrial metaverse platform, and the industrial metaverse platform sends the transfer abnormality signal or the transfer normal signal to the result feedback module; The product analysis module is used to analyze the product status of the products transferred by the corresponding transfer equipment of the industrial production line, and the analysis generates a normal product signal or a product abnormal signal which is fed back to the industrial metaverse platform. The industrial metaverse platform sends the normal product signal or the product abnormal signal to the result feedback module; the result feedback module is used to feed back the normal product signal, the abnormal product signal, the transfer abnormal signal or the normal transfer signal to the corresponding management terminal.

[0006] Furthermore, the transfer data includes the transfer time, transfer speed, transfer volume and transfer height difference of each transfer of the corresponding transfer equipment of the industrial production line.

[0007] Furthermore, the construction process of the parameter construction module is as follows: Obtain the transfer data of the industrial production line, and obtain the transfer time, transfer speed, transfer volume and transfer height difference of each transfer of the corresponding transfer equipment of the industrial production line; The average transfer time of the corresponding transfer equipment of the industrial production line is obtained by adding up the transfer time of each transfer and taking the average value; Similarly, the average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line are obtained; The average transfer time, average transfer speed, average transfer volume and average transfer height difference are integrated into the standard transfer parameters of the corresponding transfer equipment of the industrial production line.

[0008] Furthermore, the historical supervision data includes the number of transfers, the number of transfer anomalies and the number of transfer failures of the transfer equipment corresponding to the industrial production line.

[0009] Furthermore, the working process of the intelligent supervision module is as follows: Obtain the historical supervision data of the transfer equipment corresponding to the industrial production line, and obtain the number of transfers, number of abnormal transfers, and number of transfer failures of the transfer equipment corresponding to the industrial production line; By comparing the number of abnormal transfers with the number of transfers, we can obtain the abnormal transfer rate ZYLi of the corresponding transfer equipment of the industrial production line; Then, the transfer failure rate ZGLi of the corresponding transfer equipment of the industrial production line is obtained by comparing the number of transfer failures with the number of transfers; The transfer supervision value ZJi of the transfer equipment corresponding to the industrial production line is calculated using the formula. The specific formula is as follows: ZJi=ZYLi×a1+ZGLi×a2; where a1 and a2 are weight coefficients with fixed values; The data upload rate of the transfer equipment corresponding to the industrial production line is obtained according to the threshold interval to which the transfer supervision value belongs.

[0010] Furthermore, if the transshipment supervision value belongs to the first threshold interval, the corresponding data upload rate is X1; If the transshipment supervision value belongs to the second threshold interval, the corresponding data upload rate is X2; If the transfer supervision value belongs to the third threshold interval, the corresponding data upload rate is X3; wherein the right endpoint of the first threshold interval is smaller than the left endpoint of the second threshold interval, the right endpoint of the second threshold interval is smaller than the left endpoint of the third threshold interval, and X1<X2<X3.

[0011] Furthermore, the real-time transfer data includes the real-time transfer time, real-time transfer speed, real-time transfer volume and real-time transfer height difference of the transfer equipment corresponding to the industrial production line.

[0012] Furthermore, the comparison process of the data comparison module is as follows: Obtain the real-time transfer duration, real-time transfer speed, real-time transfer volume and real-time transfer height difference of the transfer equipment corresponding to the industrial production line; Then, the transfer standard parameters of the transfer equipment corresponding to the industrial production line are obtained, and the average transfer time, average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line are obtained; If the error between the real-time transfer time and the average transfer time, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference are all within the error range, a normal transfer signal is generated; If any of the error between the real-time transfer duration and the average transfer duration, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference is not within the error range, a transfer abnormality signal is generated.

[0013] Furthermore, the real-time product data is a real-time product image of the products produced by the industrial production line, and the real-time product image is an image of the contact position between the transfer equipment and the product.

[0014] Furthermore, the analysis process of the product analysis module is as follows: Obtain real-time product data when the industrial production line is actually working, and obtain real-time product maps of the contact points between the transfer equipment and the products; Then obtain the standard product diagram of the products produced by the industrial production line, and select the corresponding standard product diagram according to the contact position between the transfer equipment and the product; The real-time product image is cut according to the contact position between the transfer equipment and the product to obtain a real-time cutting image. Similarly, a standard cutting image of the product produced by the corresponding industrial production line is obtained. The real-time cropping image and the standard cropping image are gray-scaled, and the number of black pixels and white pixels in the real-time cropping image and the standard cropping image are counted respectively; If the number of black pixels and white pixels is equal, a normal product signal is generated; If any of the numbers of black pixels and white pixels are not equal, a product abnormality signal is generated.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: On the one hand, the present invention constructs the transfer parameters of the industrial production line according to the historical transfer data, and obtains the transfer standard parameters of the transfer equipment corresponding to the industrial production line. On the other hand, the supervision intensity of the transfer equipment corresponding to the industrial production line is intelligently set in combination with the historical supervision data, and the data upload rate of the transfer equipment corresponding to the industrial production line is set. During actual transfer, the real-time transfer data and real-time product data of the industrial production line during actual operation are collected according to the data upload rate. First, the working data of the transfer equipment corresponding to the industrial production line are compared to generate a transfer abnormality signal or a transfer normal signal. Then, the product conditions of the products transferred by the transfer equipment corresponding to the industrial production line are analyzed to generate a normal product signal or a product abnormality signal. Finally, the normal product signal, the product abnormality signal, the transfer abnormality signal or the transfer normal signal are fed back to the corresponding management terminal. The present invention is adaptable to adjusting the transfer mode corresponding to the industrial production line and performing quality inspection on the products after transfer. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0017] Figure 1 is the overall system block diagram of the present invention; Figure 2 It is a module connection diagram of the present invention; Figure 3 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0019] In one embodiment, see Figure 1 and Figure 2 As shown, the technical solution provided by the present invention is: an industrial production line transfer supervision system based on industrial metaverse technology, the system is used to supervise the transfer equipment corresponding to the industrial production line, and the transfer equipment includes a robotic arm, an AGV transfer cart, etc.; In this embodiment, the system includes a database, a parameter construction module, a data acquisition module, a data comparison module, a product analysis module, a result feedback module, an intelligent supervision module and an industrial metaverse platform; the database is used to store historical transportation data and historical supervision data of the industrial production line; Specifically, the database is connected to the parameter construction module, wherein the transfer data includes the transfer time, transfer speed, transfer volume and transfer height difference of each transfer of the transfer equipment corresponding to the industrial production line. The transfer height difference is the height difference between the production line height of the industrial production line and the placement height of the product transfer position; the historical supervision data includes the number of transfers, the number of transfer anomalies and the number of transfer failures of the transfer equipment corresponding to the industrial production line.

[0020] Specifically, the parameter construction module is used to construct the transfer parameters of the industrial production line, and the construction process is as follows: Obtain the transfer data of the industrial production line, and obtain the transfer time, transfer speed, transfer volume and transfer height difference of each transfer of the corresponding transfer equipment of the industrial production line; The average transfer time of the corresponding transfer equipment of the industrial production line is obtained by adding up the transfer time of each transfer and taking the average value; Similarly, the average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line are obtained; The average transfer time, average transfer speed, average transfer volume and average transfer height difference are integrated into the transfer standard parameters of the transfer equipment corresponding to the industrial production line; in this embodiment, integration refers to arranging various data into the same folder, that is, data packaging; The parameter construction module sends the standard transfer parameters of the transfer equipment corresponding to the industrial production line to the industrial metaverse platform, and the industrial metaverse platform sends the standard transfer parameters of the transfer equipment corresponding to the industrial production line to the data comparison module.

[0021] In this embodiment, the database is connected to the intelligent supervision module, and the intelligent supervision module is used to intelligently set the supervision intensity of the transfer equipment corresponding to the industrial production line. The setting process is as follows: Obtain the historical supervision data of the transfer equipment corresponding to the industrial production line, and obtain the number of transfers, number of abnormal transfers, and number of transfer failures of the transfer equipment corresponding to the industrial production line; By comparing the number of abnormal transfers with the number of transfers, we can obtain the abnormal transfer rate ZYLi of the corresponding transfer equipment of the industrial production line; Then, the transfer failure rate ZGLi of the corresponding transfer equipment of the industrial production line is obtained by comparing the number of transfer failures with the number of transfers; The transfer supervision value ZJi of the transfer equipment corresponding to the industrial production line is calculated using the formula. The specific formula is as follows: ZJi=ZYLi×a1+ZGLi×a2; where a1 and a2 are weight coefficients with fixed values; The data upload rate of the transfer equipment corresponding to the industrial production line is obtained according to the threshold interval to which the transfer supervision value belongs; Specifically, if the transshipment supervision value belongs to the first threshold interval, the corresponding data upload rate is X1, if the transshipment supervision value belongs to the second threshold interval, the corresponding data upload rate is X2, if the transshipment supervision value belongs to the third threshold interval, the corresponding data upload rate is X3, the right endpoint of the first threshold interval is less than the left endpoint of the second threshold interval, the right endpoint of the second threshold interval is less than the left endpoint of the third threshold interval, X1<X2<X3; The intelligent supervision module feeds back the data upload rate of the transfer equipment corresponding to the industrial production line to the industrial metaverse platform, and the industrial metaverse platform sends the data upload rate of the transfer equipment corresponding to the industrial production line to the data acquisition module.

[0022] As a further solution of this embodiment, the data acquisition module is used to collect real-time transportation data and real-time product data when the industrial production line is actually working according to the data upload rate, and upload the real-time transportation data and real-time product data to the industrial metaverse platform, and the industrial metaverse platform sends the real-time transportation data to the data comparison module, and the industrial metaverse platform sends the real-time product data to the product analysis module; It should be specified that the real-time transfer data is the real-time transfer time, real-time transfer speed, real-time transfer volume and real-time transfer height difference of the transfer equipment corresponding to the industrial production line; the real-time product data is the real-time product image of the products produced by the industrial production line; the real-time product image is an image of the contact position between the transfer equipment and the product.

[0023] In this embodiment, the data comparison module is used to compare the working data of the transfer equipment corresponding to the industrial production line. The comparison process is as follows: Obtain the real-time transfer duration, real-time transfer speed, real-time transfer volume and real-time transfer height difference of the transfer equipment corresponding to the industrial production line; Then, the transfer standard parameters of the transfer equipment corresponding to the industrial production line are obtained, and the average transfer time, average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line are obtained; If the error between the real-time transfer time and the average transfer time, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference are all within the error range, a normal transfer signal is generated; If any of the error between the real-time transfer time and the average transfer time, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference is not within the error range, a transfer abnormality signal is generated; The data comparison module feeds back the abnormal transport signal or the normal transport signal to the industrial metaverse platform, and the industrial metaverse platform sends the abnormal transport signal or the normal transport signal to the result feedback module.

[0024] In this embodiment, the database is also used to store the standard product diagram of the products produced by the module industrial production line, and the product analysis module is used to analyze the product conditions of the products transported by the corresponding transport equipment of the industrial production line. The specific analysis process is as follows: Obtain real-time product data when the industrial production line is actually working, and obtain real-time product maps of the contact points between the transfer equipment and the products; Then obtain the standard product diagram of the products produced by the industrial production line, and select the corresponding standard product diagram according to the contact position between the transfer equipment and the product; The real-time product image is cut according to the contact position between the transfer equipment and the product to obtain a real-time cutting image. Similarly, a standard cutting image of the product produced by the corresponding industrial production line is obtained. The real-time cropping image and the standard cropping image are gray-scaled, and the number of black pixels and white pixels in the real-time cropping image and the standard cropping image are counted respectively; If the number of black pixels and white pixels is equal, a normal product signal is generated; If any of the numbers of black pixels and white pixels are not equal, a product abnormality signal is generated; The product analysis module feeds back the normal product signal or the abnormal product signal to the industrial metaverse platform, and the industrial metaverse platform sends the normal product signal or the abnormal product signal to the result feedback module; The result feedback module is used to feed back the normal product signal, the abnormal product signal, the abnormal transportation signal or the normal transportation signal to the corresponding management terminal; In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0025] In another embodiment, if Figure 3 As shown, based on another concept of the same invention, a method for supervising industrial production line transportation based on industrial metaverse technology is now proposed, comprising the following steps: Step S100, constructing the transfer parameters of the industrial production line according to the historical transfer data, and constructing the transfer standard parameters of the transfer equipment corresponding to the industrial production line; In this embodiment, step S100 includes the following sub-steps: Step S101, obtaining the transfer data of the industrial production line, and obtaining the transfer time, transfer speed, transfer volume and transfer height difference of each transfer of the transfer equipment corresponding to the industrial production line; Step S102, adding up the transfer time of each transfer and taking the average value to obtain the average transfer time of the transfer equipment corresponding to the industrial production line. Similarly, the average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line are obtained; Step S103, integrating the average transfer time, average transfer speed, average transfer volume and average transfer height difference into the transfer standard parameters of the transfer equipment corresponding to the industrial production line.

[0026] Step S200, intelligently setting the supervision intensity of the transfer equipment corresponding to the industrial production line in combination with the historical supervision data, and setting the data upload rate of the transfer equipment corresponding to the industrial production line; In this embodiment, step S200 includes the following sub-steps: Step S201, obtaining historical supervision data of the transfer equipment corresponding to the industrial production line, and obtaining the number of transfers, number of abnormal transfers, and number of transfer failures of the transfer equipment corresponding to the industrial production line; Step S202, obtaining the abnormal transfer rate of the transfer equipment corresponding to the industrial production line by comparing the abnormal transfer rate with the transfer rate; Step S203, then the transfer failure rate of the transfer equipment corresponding to the industrial production line is obtained by comparing the transfer failure number with the transfer number; Step S204, calculating the transfer supervision value of the transfer equipment corresponding to the industrial production line; Step S205, obtaining the data upload rate of the transfer equipment corresponding to the industrial production line according to the threshold interval to which the transfer supervision value belongs.

[0027] Step S300, collecting real-time transfer data and real-time product data of the industrial production line during actual operation according to the data upload rate, comparing the working data of the corresponding transfer equipment of the industrial production line, and generating a transfer abnormality signal or a transfer normal signal by comparison; In this embodiment, step S300 includes the following sub-steps: Step S301, obtaining the real-time transfer duration, real-time transfer speed, real-time transfer volume and real-time transfer height difference of the transfer equipment corresponding to the industrial production line; Step S302, then obtain the transfer standard parameters of the transfer equipment corresponding to the industrial production line, and obtain the average transfer time, average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line; Step S303, if the error between the real-time transfer time and the average transfer time, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference are all within the error range, then a normal transfer signal is generated; Step S304: If any of the error between the real-time transfer time and the average transfer time, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference is not within the error range, a transfer abnormality signal is generated.

[0028] Step S400, analyzing the product status of the products transferred by the transfer equipment corresponding to the industrial production line, and generating a normal product signal or an abnormal product signal; In this embodiment, step S400 includes the following sub-steps: Step S401, obtaining real-time product data when the industrial production line is actually working, and obtaining a real-time product map of the contact position between the transfer equipment and the product; Step S402, then obtaining a standard product image of the product produced by the industrial production line, and selecting a corresponding standard product image according to the contact position between the transfer equipment and the product; Step S403, cutting the real-time product image according to the contact position between the transfer equipment and the product to obtain a real-time cutting image. Similarly, a standard cutting image of the product produced by the corresponding industrial production line is obtained; Step S404, grayscale processing is performed on the real-time cropping image and the standard cropping image, and the number of black pixels and white pixels in the real-time cropping image and the standard cropping image are counted respectively; Step S405: if the numbers of black pixels and white pixels are equal, a normal product signal is generated; if any one of the numbers of black pixels and white pixels is not equal, an abnormal product signal is generated.

[0029] Step S500, feeding back the normal product signal, the abnormal product signal, the abnormal transportation signal or the normal transportation signal to the corresponding management terminal.

[0030] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An industrial production line transfer supervision system based on industrial metaverse technology, characterized in that: It includes a database, a parameter construction module, a data acquisition module, a data comparison module, a product analysis module, a result feedback module, an intelligent supervision module and an industrial metaverse platform. The database is used to store the historical transfer data and historical supervision data of the industrial production line and the standard product diagram of the products produced by the industrial production line; the parameter construction module is used to construct the transfer parameters of the industrial production line, and obtain the transfer standard parameters of the transfer equipment corresponding to the industrial production line and send them to the industrial metaverse platform. The industrial metaverse platform sends the transfer standard parameters of the transfer equipment corresponding to the industrial production line to the data comparison module; the intelligent supervision module is used to intelligently set the supervision intensity of the transfer equipment corresponding to the industrial production line, and the data upload rate of the transfer equipment corresponding to the industrial production line is set and fed back to the industrial metaverse platform. The industrial metaverse platform sends the data upload rate of the transfer equipment corresponding to the industrial production line to the data collection module; The data acquisition module is used to collect real-time transfer data and real-time product data when the industrial production line is actually working according to the data upload rate, and upload the real-time transfer data and real-time product data to the industrial metaverse platform, and the industrial metaverse platform sends the real-time transfer data to the data comparison module, and the industrial metaverse platform sends the real-time product data to the product analysis module; the data comparison module is used to compare the working data of the transfer equipment corresponding to the industrial production line, and the comparison generates a transfer abnormality signal or a transfer normal signal and feeds it back to the industrial metaverse platform, and the industrial metaverse platform sends the transfer abnormality signal or the transfer normal signal to the result feedback module; The product analysis module is used to analyze the product status of the products transferred by the corresponding transfer equipment of the industrial production line, and the analysis generates a normal product signal or a product abnormal signal which is fed back to the industrial metaverse platform. The industrial metaverse platform sends the normal product signal or the product abnormal signal to the result feedback module; the result feedback module is used to feed back the normal product signal, the abnormal product signal, the transfer abnormal signal or the normal transfer signal to the corresponding management terminal.

2. According to claim 1, an industrial production line transfer supervision system based on industrial metaverse technology is characterized in that: The transfer data includes the transfer time, transfer speed, transfer volume and transfer height difference of each transfer of the corresponding transfer equipment of the industrial production line.

3. According to claim 2, an industrial production line transfer supervision system based on industrial metaverse technology is characterized in that: The construction process of the parameter construction module is as follows: Obtain the transfer data of the industrial production line, and obtain the transfer time, transfer speed, transfer volume and transfer height difference of each transfer of the corresponding transfer equipment of the industrial production line; The average transfer time of the corresponding transfer equipment of the industrial production line is obtained by adding up the transfer time of each transfer and taking the average value; Similarly, the average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line are obtained; The average transfer time, average transfer speed, average transfer volume and average transfer height difference are integrated into the standard transfer parameters of the corresponding transfer equipment of the industrial production line.

4. According to claim 1, an industrial production line transfer supervision system based on industrial metaverse technology is characterized in that: The historical supervision data includes the number of transfers, the number of transfer anomalies and the number of transfer failures of the transfer equipment corresponding to the industrial production line.

5. The industrial production line transfer supervision system based on industrial metaverse technology according to claim 4 is characterized in that: The working process of the intelligent supervision module is as follows: Obtain the historical supervision data of the transfer equipment corresponding to the industrial production line, and obtain the number of transfers, number of abnormal transfers, and number of transfer failures of the transfer equipment corresponding to the industrial production line; By comparing the number of abnormal transfers with the number of transfers, we can obtain the abnormal transfer rate ZYLi of the corresponding transfer equipment of the industrial production line; Then, the transfer failure rate ZGLi of the corresponding transfer equipment of the industrial production line is obtained by comparing the number of transfer failures with the number of transfers; The transfer supervision value ZJi of the transfer equipment corresponding to the industrial production line is calculated using the formula. The specific formula is as follows: ZJi=ZYLi×a1+ZGLi×a2; where a1 and a2 are weight coefficients with fixed values; The data upload rate of the transfer equipment corresponding to the industrial production line is obtained according to the threshold interval to which the transfer supervision value belongs.

6. The industrial production line transfer supervision system based on industrial metaverse technology according to claim 5 is characterized in that: If the transshipment supervision value belongs to the first threshold interval, the corresponding data upload rate is X1; If the transshipment supervision value belongs to the second threshold interval, the corresponding data upload rate is X2; If the transfer supervision value belongs to the third threshold interval, the corresponding data upload rate is X3; wherein the right endpoint of the first threshold interval is smaller than the left endpoint of the second threshold interval, the right endpoint of the second threshold interval is smaller than the left endpoint of the third threshold interval, and X1<X2<X3.

7. The industrial production line transfer supervision system based on industrial metaverse technology according to claim 1 is characterized in that: The real-time transfer data includes the real-time transfer time, real-time transfer speed, real-time transfer volume and real-time transfer height difference of the transfer equipment corresponding to the industrial production line.

8. The industrial production line transfer supervision system based on industrial metaverse technology according to claim 7 is characterized in that: The comparison process of the data comparison module is as follows: Obtain the real-time transfer duration, real-time transfer speed, real-time transfer volume and real-time transfer height difference of the transfer equipment corresponding to the industrial production line; Then, the transfer standard parameters of the transfer equipment corresponding to the industrial production line are obtained, and the average transfer time, average transfer speed, average transfer volume and average transfer height difference of the transfer equipment corresponding to the industrial production line are obtained; If the error between the real-time transfer time and the average transfer time, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference are all within the error range, a normal transfer signal is generated; If any of the error between the real-time transfer duration and the average transfer duration, the error between the real-time transfer speed and the average transfer speed, the error between the real-time transfer volume and the average transfer volume, and the error between the real-time transfer height difference and the average transfer height difference is not within the error range, a transfer abnormality signal is generated.

9. The industrial production line transfer supervision system based on industrial metaverse technology according to claim 1 is characterized in that: The real-time product data is a real-time product image of the products produced by the industrial production line. The real-time product image is an image of the contact position between the transfer equipment and the product.

10. The industrial production line transfer supervision system based on industrial metaverse technology according to claim 9 is characterized in that: The analysis process of the product analysis module is as follows: Obtain real-time product data when the industrial production line is actually working, and obtain real-time product maps of the contact points between the transfer equipment and the products; Then obtain the standard product diagram of the products produced by the industrial production line, and select the corresponding standard product diagram according to the contact position between the transfer equipment and the product; The real-time product image is cut according to the contact position between the transfer equipment and the product to obtain a real-time cutting image. Similarly, a standard cutting image of the product produced by the corresponding industrial production line is obtained. The real-time cropping image and the standard cropping image are gray-scaled, and the number of black pixels and white pixels in the real-time cropping image and the standard cropping image are counted respectively; If the number of black pixels and white pixels is equal, a normal product signal is generated; If any of the numbers of black pixels and white pixels are not equal, a product abnormality signal is generated.

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