Glass smart park remote intelligent diagnosis and maintenance system and method based on 5G and AR

Abstract

The invention provides a remote intelligent diagnosis and maintenance method and system for a smart glass park based on 5G and AR, and the system comprises a calender equipment data collection system, an annealing kiln equipment data collection system, a melting fan data collection system, a public engineering data collection system, a local and remote server of the glass park, and an AR remote intelligent diagnosis and maintenance system. The invention discloses a glass equipment data visualization platform. The technical problems that traditional network transmission is not suitable for real-time maintenance of park equipment and the remote maintenance efficiency is low are solved.

Description

Technical Field

[0001] The present invention relates to the field of park equipment maintenance, and specifically to a remote intelligent diagnosis and maintenance system and method for a glass smart park based on 5G and AR. Background Art

[0002] By using 5G to transmit data, data collection of glass equipment is highly real-time. In the calender glass production line, the failure of key equipment such as the calender and main drive will be a serious production accident. When a failure occurs, it is necessary to quickly solve the failure and resume production. Under such working conditions, engineers rush to the site to solve the failure. When the distance is relatively long, especially at overseas sites, time is not allowed.

[0003] The existing invention patent application document "Remote Maintenance System for Die Casting Machine" with publication number CN102681524A includes a remote maintenance center and multiple die casting machine components that communicate data through the Internet, so that the remote maintenance center performs online program monitoring and online diagnosis on the multiple die casting machine components. By connecting the remote maintenance center and the die casting machine components together through the Internet, the remote maintenance center can remotely monitor, diagnose and modify the control program of the die casting machine components. Among them, the communication network described in the remote maintenance system described in the prior art solution is a 3G wireless communication network, and its communication transmission efficiency cannot be guaranteed, so that the equipment in the industrial park cannot achieve high real-time remote maintenance.

[0004] The existing invention patent application document "Photovoltaic calender control system" with publication number CN102566528A includes a calender and a central control device for remotely controlling the calender; wherein the central control device includes a central PLC controller and a remote network controller; the calender includes a field control command input and output device and an upper roller frequency converter, a lower roller frequency converter, a two-roller intermediate conveying frequency converter and a roller output transition frequency converter connected in series; the system adopts field network control and exchanges full-range digital information with the remote network controller through the PLC controller. It can be seen from the specific implementation content of the prior art that the prior art focuses on remotely controlling the calender through the central control device, and during operation, it can only monitor motor parameters, overload data, and glass thickness fluctuations online through operation prompt information, and cannot remotely maintain equipment such as the calender.

[0005] In summary, the existing technology has technical problems that traditional network transmission is not suitable for real-time maintenance of park equipment and remote maintenance efficiency is low. Summary of the invention

[0006] The technical problem to be solved by the present invention is how to solve the technical problem in the prior art that traditional network transmission is not suitable for real-time maintenance of park equipment and the remote maintenance efficiency is low.

[0007] The present invention solves the above technical problems by adopting the following technical solutions: The intelligent remote diagnosis and maintenance system for glass intelligent park based on 5G and AR includes:

[0008] The calender equipment data acquisition system is used to transmit the real-time operation data of the calender on each production line and the operation data of each drive frequency converter for the electrical control of the calender to the calender data acquisition sub-station through the 5G network for data aggregation, so as to obtain the aggregated calender data, and use the calender data acquisition sub-station to transmit the aggregated calender data to the local and remote servers of the glass park;

[0009] The annealing furnace equipment data acquisition system is used to deploy a PLC module and a 5G data gateway in the annealing joint control room, and use the PLC module to collect the process parameter data, operation status data, and annealing furnace equipment operation data of the main drive equipment, annealing furnace fan equipment, annealing electric heating equipment, and annealing infrared equipment through the PLC acquisition bus. The 5G gateway is used for data aggregation to obtain the aggregated annealing furnace data, and the 5G gateway is used to transmit the aggregated annealing furnace data to the local and remote servers of the glass park;

[0010] The melting blower data acquisition system is used to collect the melting blower data of the corner cooling blower, calender cooling blower, hanging wall cooling blower, steel ingot slag cooling blower equipment, combustion air cooling blower equipment, and tank wall blower equipment, and use the 5G gateway to transmit the melting blower data to the local and remote servers of the glass park;

[0011] The utility engineering data acquisition system is used to deploy utility engineering data acquisition stations based on the 5G network in the circulating water control room, oil station control room, and air compressor station control room;

[0012] The AR remote intelligent diagnosis and maintenance system is used to establish a virtual 3D model of each industrial equipment in the glass production line and synchronously match the operation data of the actual equipment to the virtual 3D model;

[0013] The local and remote servers of the glass park are used to store the aggregated calender data, aggregated annealing furnace data, melting blower data, and utility engineering data, and store the virtual 3D models of the calender equipment and its electrical control equipment, annealing furnace and its electrical control equipment, melting blower and its electrical control equipment, and each equipment and its electrical control equipment in the utility engineering. It cooperates with the AR remote intelligent diagnosis and maintenance system for data analysis to obtain the equipment analysis data of the glass park. The local and remote servers of the glass park are connected to the calender equipment data acquisition system, annealing furnace equipment data acquisition system, melting blower data acquisition system, utility engineering data acquisition system, and AR remote intelligent diagnosis and maintenance system;

[0014] The AR remote intelligent diagnosis and maintenance system is used to preset alarm values for calender equipment, annealing furnace equipment, melting blower equipment, and utility engineering equipment. When the remote parameters of the above-mentioned equipment trigger the alarm values, warning messages are sent according to the preset fault levels. The AR remote intelligent diagnosis and maintenance system is connected to the local and remote servers in the glass park;

[0015] The glass equipment data visualization platform is used to display the glass park equipment analysis data and warning messages.

[0016] In view of the problems of the glass production enterprises, such as a large variety of production equipment, large equipment volume, complex production process, harsh equipment operation environment, and great difficulty in technical diagnosis and maintenance, etc., by deploying a data acquisition system based on the 5G network, constructing a 3D virtual model of the equipment, and on-site technicians wearing AR glasses are assisted and guided by remote engineers. Remote fault diagnosis and maintenance improve the work efficiency of on-site technicians and remote engineers, shorten the time for troubleshooting glass equipment, improve production efficiency, and reduce the operation and maintenance management costs.

[0017] In a more specific technical solution, the real-time operation data of the calender in the calender equipment data acquisition system includes: upper roll speed, lower roll speed, receiving roll speed, transition roll speed, inlet flow rate, left and right pressure bar pressures, and operating currents of each motor;

[0018] The data sub-stations of the present invention uniformly transmit the aggregated data to the local server system in the glass park. Utilizing the advantages of large bandwidth, low latency, and large connection of the 5G network, the real-time performance of the calender data online is improved.

[0019] In a more specific technical solution, the PLC acquisition bus includes: DP bus, profinet bus.

[0020] In a more specific technical solution, the hardware equipment of the utility engineering data acquisition station is explosion-proof treated.

[0021] In a more specific technical solution, in the AR remote intelligent diagnosis and maintenance system, a virtual 3D model of the glass equipment in production is displayed by using the preset AR glasses.

[0022] The maintenance personnel in the park can access the local server data by connecting to the wireless server website through the wireless terminal equipment, making the maintenance work more convenient.

[0023] In a more specific technical solution, the information displayed by the preset AR glasses includes: operating status, process parameters, and maintenance information.

[0024] In a more specific technical solution, on the visualization interface of the preset AR glasses, the virtual 3D model is annotated and dissected, and the operating parameters of the equipment corresponding to the virtual 3D model are retrieved to locate the fault.

[0025] In a more specific technical solution, the fault levels in the alarm information include: the first fault level, the second fault level, the third fault level, and the fourth fault level.

[0026] In a more specific technical solution, when a breakdown occurs in the calender equipment, main drive equipment, oil station equipment, air compressor station equipment, circulating water equipment, or melting blower equipment, causing a shutdown, the alarm information is directly sent to the monitoring terminal via text message, and the fault level is defined as the first fault level.

[0027] When a breakdown occurs in the calender equipment, main drive equipment, oil station equipment, air compressor station equipment, circulating water equipment, or melting blower equipment and it switches to the preset standby equipment, the alarm information is sent to the monitoring terminal via text message, and the fault is defined as the second fault level.

[0028] When the fault does not cause a shutdown or switch to the preset standby equipment, the alarm information is sent to the monitoring terminal via text message, and the fault level is defined as the second fault level.

[0029] The present invention uses 5G to transmit data, and the data acquisition of glass equipment has high real-time performance. In the calender glass production line, the breakdown of key equipment such as the calender and the main drive will be a serious production accident. When a breakdown occurs, it is necessary to quickly solve the problem and resume production. Under such working conditions, the efficiency of engineers rushing to the site to solve the problem and performing remote maintenance operations is improved, enabling technicians to quickly remotely cooperate to solve the problem and resume production through the high real-time performance of the 5G network.

[0030] In a more specific technical solution, the remote intelligent diagnosis and maintenance method for a glass intelligent park based on 5G and AR includes:

[0031] S1. Transmit the real-time operation data of the calender in each production line and the operation data of each drive frequency converter for the electrical control of the calender to the calender data acquisition sub-station via the 5G network for data aggregation to obtain the calender aggregated data, and use the calender data acquisition sub-station to transmit the calender aggregated data to the local and remote servers of the glass park.

[0032] S2. Deploy a PLC module and a 5G data gateway in the annealing joint control room. Use the PLC module to collect the process parameter data, operation status data, and the operation data of the annealing kiln equipment such as the main drive equipment, annealing kiln blower equipment, annealing electric heating equipment, and annealing infrared equipment through the PLC acquisition bus. Use the 5G gateway for data aggregation to obtain the annealing kiln aggregated data, and use the 5G gateway to transmit the annealing kiln aggregated data to the local and remote servers of the glass park.

[0033] S3. Collect the melting fan data of the corner cooling fan, calender cooling fan, hanging wall cooling fan, steel ingot slag cooling fan equipment, combustion air cooling fan equipment, and cell wall fan equipment, and use the 5G gateway to transmit the melting fan data to the local and remote servers in the glass park;

[0034] S4. Deploy utility engineering data acquisition stations based on the 5G network in the circulating water control room, oil station control room, and air compressor station control room;

[0035] S5. By establishing virtual 3D models of various industrial equipment in the glass production line, synchronize and match the operating data of the actual equipment to the virtual 3D models;

[0036] S6. Store the calender summary data, annealing furnace summary data, melting fan data, and utility engineering data, and store the virtual 3D models of the calender equipment and its electrical control equipment, annealing furnace and its electrical control equipment, melting fan and its electrical control equipment, and each utility engineering equipment and its electrical control equipment, and cooperate with the AR remote intelligent diagnosis and maintenance system for data analysis to obtain equipment analysis data for the glass park;

[0037] S7. By presetting alarm values for the calender equipment, annealing furnace equipment, melting fan equipment, and utility engineering equipment, when the remote parameters of the above-mentioned equipment trigger the alarm value, send out warning information according to the preset fault level;

[0038] S8. Use the glass equipment data visualization platform to display the equipment analysis data and warning information of the glass park.

[0039] The present invention has the following advantages compared with the prior art: Aiming at the problems of many types of production equipment, large equipment volume, complex production processes, harsh equipment operating environments, and difficult technical diagnosis and maintenance in glass production enterprises, the present invention deploys a data acquisition system based on the 5G network, constructs a 3D virtual model of the equipment, and on-site technicians wear AR glasses to receive assistance and guidance from remote engineers. Remote fault diagnosis and maintenance improve the work efficiency of on-site technicians and remote engineers, shorten the time for troubleshooting glass equipment failures, improve production efficiency, and reduce the operation and maintenance management costs.

[0040] The data sub-stations of the present invention uniformly transmit the summary data to the local server system in the glass park. Utilizing the advantages of large bandwidth, low latency, and large connection of the 5G network, the real-time performance of the calender data online is improved.

[0041] The present invention uses 5G to transmit data, and the data collection of glass equipment has high real-time performance. In the calender glass production line, the failure shutdown of key equipment such as calenders and main drives belongs to serious production accidents, and it is necessary to quickly solve the problems and resume production when a failure occurs. Under such working conditions, the efficiency of engineers rushing to the site to solve problems and performing remote maintenance operations is improved, enabling technicians to quickly remotely cooperate to solve problems and resume production through the high real-time performance of the 5G network. The present invention solves the technical problems existing in the prior art that traditional network transmission is not applicable to real-time maintenance of park equipment and the low efficiency of remote maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic connection diagram of a 5G and AR-based remote intelligent diagnosis and maintenance system for a glass smart park according to Embodiment 1 of the present invention;

[0043] Figure 2 It is a schematic diagram of the log viewing interface according to Embodiment 2 of the present invention;

[0044] Figure 3 It is a schematic diagram of the software display according to Embodiment 2 of the present invention;

[0045] Figure 4 It is a virtual model diagram taking the calender equipment as an example according to Embodiment 2 of the present invention;

[0046] Figure 5 It is a schematic diagram of the basic steps of a 5G and AR-based remote intelligent diagnosis and maintenance method for a glass smart park according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0048] Embodiment 1

[0049] As Figure 1 shown, the 5G and AR-based remote intelligent diagnosis and maintenance system for a glass smart park provided by the present invention includes: a calender equipment data collection system 1, a lehr equipment data collection system 2, a melting fan data collection system 3, a utility engineering data collection system 4, a glass park server 5, a cloud server 6, an AR remote intelligent diagnosis and maintenance system 7, a glass equipment data visualization platform 8, a remote assistance engineer terminal 9, and AR glasses 10.

[0050] In this embodiment, the calender equipment data acquisition system 1 realizes the real-time operation data of the calenders on each production line and the operation data of each drive frequency converter for the electrical control of the calenders, etc., and transmits them to the calender data acquisition sub-station through the 5G network for data aggregation. In this embodiment, the calender equipment data acquisition system 1 is connected to the 1st-line calender 11', 2nd-line calender 12', 3rd-line calender 13' and 4th-line calender 14' through the first 5G wireless communication device 101. In this embodiment, the real-time operation data of the calender includes but is not limited to: upper roll speed, lower roll speed, receiving roll speed, transition roll speed, inlet flow rate, left and right press bar pressures, and operating currents of each motor. In this embodiment, the data sub-station is used to uniformly transmit the aggregated data to the glass park server 5.

[0051] In this embodiment, the annealing equipment data acquisition system 2, by deploying a PLC + 5G data gateway in the annealing joint control room, the PLC collects the process parameter data, operating status data, drive, controller and other operating data of the main drive equipment 21', annealing kiln fan equipment 22', annealing electric heating equipment 23' and annealing infrared equipment 24' through the DP bus or profinet bus, and uses the transmission 5G gateway of the second 5G wireless communication device 102 for data aggregation, and is uniformly transmitted to the glass park server 5 by the 5G gateway.

[0052] In this embodiment, the melting fan data acquisition system 3 uses the third 5G wireless communication device 103 to connect to the corner cooling fan 31', calender cooling fan 32', hanging wall cooling fan 33', steel crown cooling fan equipment 34', combustion-supporting air cooling fan equipment 35' and tank wall fan equipment 36' through the 5G network.

[0053] In this embodiment, the utility engineering data acquisition system 4 uses the fourth 5G wireless communication device 104 to connect to the circulating water equipment 41', oil station equipment 42' and air compressor station equipment 43' through the 5G network. In this embodiment, by deploying data acquisition stations based on the 5G network in the circulating water control room, oil station control room and air compressor station control room, the hardware equipment of the acquisition stations is explosion-proof treated. The park maintenance personnel can access the local server data by connecting the wireless terminal device to the wireless server website, making the maintenance work more convenient.

[0054] In this embodiment, the glass park server 5 in the glass park local and remote server system is used to store the data of each acquisition system and the virtual 3D models of the calender equipment and its electrical control equipment, annealing kiln and its electrical control equipment, melting fan and its electrical control equipment, and each equipment of the utility engineering and its electrical control equipment, and cooperate with the AR remote intelligent diagnosis and maintenance system 7 for data analysis.

[0055] In this embodiment, the AR remote intelligent diagnosis and maintenance system 7 establishes virtual 3D models of various industrial equipment in the glass production line, synchronizes and matches the operation data of the actual equipment to the virtual models. By wearing AR glasses, engineers can view the virtual 3D models of the glass equipment in production in all-round and three-dimensional ways, and synchronously display the operation status, process parameters, maintenance information, etc. of the equipment.

[0056] In this embodiment, the AR remote intelligent diagnosis and maintenance system 7 enables on-site maintenance technicians to wear AR glasses, connect to the 5G network, and conduct online collaboration with remote engineers in the form of video through the remote assistance engineer terminal 9. The industrial equipment scanned by the AR glasses is synchronously displayed on the visualization interface of the remote engineer side. Engineers can annotate and dissect the displayed virtual model on the visualization interface, retrieve various operation parameters of the equipment, and accurately locate faults. The AR glasses can synchronously display each annotation and dissection on the visualization platform of the engineer side, realize fault location at the physical end, and complete fault diagnosis and equipment maintenance guidance step by step.

[0057] In this embodiment, the AR remote intelligent diagnosis and maintenance system 7 preset alarm values for calender equipment, annealing furnace equipment, melting blower equipment, and utility engineering equipment. When the remote parameters of the equipment trigger the alarm value, a text message reminder is received according to the fault level. And a pop-up alarm appears on the screen in the glass equipment visualization platform.

[0058] In this embodiment, the data acquisition system 1 of the calender equipment transmits the real-time operation data (upper roll speed, lower roll speed, receiving roll speed, transition roll speed, inlet flow rate, left and right pressure bar pressures, operating currents of each motor) of the calenders on each production line and the operation data of each drive frequency converter for the electrical control of the calender to the calender data acquisition sub-station through the 5G network for data aggregation. The data sub-station uniformly transmits the aggregated data to the local server system in the glass park. Utilizing the advantages of large bandwidth, low latency, and large connection of the 5G network, the real-time performance of the calender data online is greatly improved.

[0059] In this embodiment, the data acquisition system 2 of the annealing furnace equipment deploys a PLC + 5G data gateway in the annealing combined control room. The PLC collects the process parameter data of the main drive equipment 21’, annealing furnace blower equipment 22’, annealing electric heating equipment 23’, and annealing infrared equipment 24’ through the DP bus or profinet bus.

[0060] In this embodiment, the utility engineering data acquisition system 4 deploys data acquisition stations based on the 5G network in the circulating water control room, oil station control room, and air compressor station control room, and the hardware equipment of the data acquisition stations is explosion-proof treated.

[0061] In this embodiment, there are a glass park server 5 and a cloud server 6. The local server is used to store the data of each acquisition system, as well as the virtual 3D models of calender machines and their electric control equipment, annealing furnaces and their electric control equipment, melting blowers and their electric control equipment, and various equipment in utility engineering and their electric control equipment, and cooperate with the AR remote intelligent diagnosis and maintenance system for data analysis.

[0062] In this embodiment, when faults occur in calender machines, main drive equipment, oil station equipment, air compressor station equipment, circulating water equipment, and melting blower equipment, resulting in shutdowns, text messages are directly sent to the company's deputy leaders in charge, production supervisors, team leaders, and maintenance technicians, and the fault level is defined as level one; when the above equipment fails and switches to standby equipment, text messages are sent to the production supervisor, team leader, and maintenance technician, and the fault level is defined as level two; when the above equipment has general faults without causing shutdowns or switching to standby equipment, text messages are sent to the team leader and maintenance technician, and the fault level is defined as level three; when there are warning messages and early warning messages in the above equipment, text messages are sent to the maintenance technician, and the fault is defined as level four.

[0063] In this embodiment, a data acquisition system based on the 5G network is deployed. Wired 5G devices and wireless 5G gateways are equipped at each data sub-station and the server side. When one communication method fails, the other communication method can be used to transmit data as a substitute. Under normal circumstances, the priority 5G device is preferably used to transmit data to the server.

[0064] In this embodiment, the glass equipment visualization platform 8 includes AR glasses display, and the virtual 3D models of calender machines and their electric control equipment, annealing furnaces and their electric control equipment, melting blowers and their electric control equipment, and various equipment in utility engineering and their electric control equipment, as well as their operating parameters, fault history, and current status; display screens are equipped in the melting production duty room, forming and annealing duty room, and utility engineering duty room to display the operating information of each equipment in the operation of their respective work sections.

[0065] In this embodiment, when equipment in the glass park, such as the calender of Line 1 11’, the calender of Line 2 12’, the calender of Line 3 13’, the calender of Line 4 14’, the main drive equipment 21’, the oil station equipment 42’, the air compressor station equipment 43’, the circulating water equipment 41’, the corner cooling fan 31’, the calender cooling fan 32’, the hanging wall cooling fan 33’, the steel arch slag cooling fan equipment 34’, the combustion air cooling fan equipment 35’, and the tank wall fan equipment 36’ fails and causes a shutdown, a text message is directly sent to the company's deputy leaders in charge, production supervisors, team leaders, and maintenance technicians, and the failure level is defined as level one; when the above equipment fails and switches to standby equipment, a text message is sent to the production supervisor, team leader, and maintenance technician, and the failure level is defined as level two; when the above equipment has a general failure that does not cause a shutdown or switch to standby equipment, a text message is sent to the team leader and maintenance technician, and the failure level is defined as level three; when the above equipment has warning information and early warning information, a text message is sent to the maintenance technician, and the failure is defined as level four.

[0066] In this embodiment, the glass equipment data visualization platform 8 includes virtual 3D models of the AR glasses 10 display, calender equipment and its electrical control equipment, annealing furnace and its electrical control equipment, melting fan and its electrical control equipment, and various equipment in utilities and their electrical control equipment, as well as their operating parameters, failure history, and current status; display screens are equipped in the melting production duty room, forming and annealing duty room, and utilities duty room to display the operating information of each equipment in the operation of their respective sections.

[0067] In this embodiment, the present invention deploys various data acquisition systems based on the 5G network, and wired 5G devices and wireless 5G gateways are equipped at each data sub-station and server end. When one communication method fails, the other communication method can transmit data as a backup. Under normal circumstances, the priority 5G device is preferably used to transmit data to the server.

[0068] Embodiment 2

[0069] In the four-line production line of photovoltaic rolled glass 1 in this embodiment, in its melting fan equipment control room, forming and annealing equipment control room, and utility engineering equipment control room, wired 5G equipment and wireless 5G gateways are equipped. For example, the ZK6500-1GX8GE-SFP wired 5G transmission equipment of Zhongke Optoelectronics and the wireless 5G gateway PLC-508 5G of Hefei Guomeng Automation. The communication protocols of the electrical control equipment of the industrial equipment in each section are uniformly converted to industrial Ethernet, or the controller directly selects one with an Ethernet port. The process equipment control system is connected to both wired and wireless terminals at the same time. The acquisition terminal reads data by capturing the controller and does not occupy the computing power of the process equipment CPU. A data receiving terminal is equipped at the server end. The network is divided into network segments according to the sections: Melting section: 192.168.1.0 to 255; Calender section: 192.168.2.0 to 255; Annealing section: 192.168.3.0 to 255; Utility engineering section: 192.168.4.0 to 255; Different IP addresses are assigned to each specific process equipment.

[0070] Build an AR remote intelligent diagnosis and maintenance system, which can be built and developed with the help of a mature big data analysis platform in the market or a self-developed data analysis platform.

[0071] As Figure 2 and Figure 3 As shown, in this embodiment, the present invention references the Rockwell data analysis platform. The glass smart park remote intelligent diagnosis and maintenance system based on 5G and AR provided by the present invention includes the following implementation steps:

[0072] Process of deploying to the local server and connecting to on-site real-time equipment:

[0073] S1. It is necessary to build a vuforia server on the Thingworx platform for publishing. Use vuforia AR as the data basic platform, provide corresponding personnel accounts for the AR scene to be published to the server, and at the same time connect thingworx to kepware to obtain on-site real-time equipment data. The AR scene then accesses the thingworx platform and feeds back the on-site equipment data in the scene panel in real time;

[0074] S2. Server deployment: The Vuforia publishing service relies on the thingworx platform and is used in cooperation with thingworx to obtain the account permissions of thingworx, allowing engineers to publish the made ar scene to the local server deployed with ES through the thingworx account.

[0075] In this embodiment, Kepware is used as the actual data acquisition software for field devices, which is connected to thingworx. The data is stored in thingworx through the appkey method, facilitating the use of the AR scenario.

[0076] In this embodiment, the services created and published by the Vuforia Studio client project rely on the browser to run. In this example, the browser used is Chrome.

[0077] Real-time process of the AR glasses docking with the remote maintenance system:

[0078] In this embodiment, the AR glasses 10 in this step select the Microsoft HoloLens 2.

[0079] S3. Use the Vuforia view terminal display software. In this embodiment, Apple can directly download it from the App Store, Android needs to download it through the ptc official website, and HoloLens can directly download it from the Microsoft Store. After the download is complete, the access address of the view can be set by scanning the code. This access address is the address of the ES server. After the setting is completed, all the projects published on the ES server (all the projects in the direct recognition method of the tablet) can be seen. In this embodiment, the mobile phone and tablet can also be set by manually entering the address;

[0080] S4. Use fixed data to publish the server project to the Rockwell server. In this embodiment, install Vuforia view and set the address of the view to the access address of the Rockwell server. After the setting is completed, the projects on the server can be seen in the corresponding library interface.

[0081] In this embodiment, install Vuforia view and set the address of the view to the access address of the Rockwell server. After the setting is completed, the projects on the server can be seen in the corresponding library interface.

[0082] Software list of the implementation case

[0083]

[0084]

[0085] As Figure 4 shown, the 3D virtual implementation example model effect of the AR display device. In this embodiment, a virtual model diagram of a calender device is used as an example.

[0086] Content formulation for transmitting industrial equipment data via 5G. In this example, the data of the calender device is used as an example:

[0087]

[0088]

[0089]

[0090]

[0091] In summary, in view of the problems in glass production enterprises, such as a large variety of production equipment, large equipment volume, complex production processes, harsh equipment operating environments, and great difficulties in technical diagnosis and maintenance, the present invention deploys a data acquisition system based on a 5G network, constructs a 3D virtual model of the equipment, and on-site technicians wear AR glasses to receive assistance and guidance from remote engineers. Remote fault diagnosis and maintenance improve the work efficiency of on-site technicians and remote engineers, shorten the time for troubleshooting glass equipment, improve production efficiency, and reduce operation and maintenance management costs.

[0092] The data sub-stations of the present invention uniformly transmit the aggregated data to the local server system of the glass park. By leveraging the advantages of large bandwidth, low latency, and large connection of the 5G network, the real-time performance of calender data online is improved.

[0093] The present invention uses 5G to transmit data, and the data acquisition of glass equipment has high real-time performance. In the calender glass production line, the shutdown of key equipment such as calenders and main drives is a serious production accident, and faults need to be quickly resolved to resume production. Under such working conditions, the efficiency of engineers rushing to the site to solve faults and performing remote maintenance operations is improved, enabling technicians to quickly remotely collaborate to solve faults and resume production through the high real-time performance of the 5G network. The present invention solves the technical problems in the prior art that traditional network transmission is not applicable to real-time maintenance of park equipment and the low efficiency of remote maintenance.

[0094] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote intelligent diagnosis and maintenance system for a glass smart park based on 5G and AR, characterized in that The system includes: A calender equipment data acquisition system, which is used to transmit the real-time operation data of the calenders on each production line and the operation data of each drive frequency converter for the electrical control of the calenders to the calender data acquisition sub-station through a 5G network for data aggregation, so as to obtain the calender aggregated data, and use the calender data acquisition sub-station to transmit the calender aggregated data to the local and remote servers in the glass park; An annealing furnace equipment data acquisition system, which is used to deploy a PLC module and a 5G data gateway in the annealing combined control room, and use the PLC module to collect the process parameter data, operation status data, and annealing furnace equipment operation data of the main drive equipment, annealing furnace fan equipment, annealing electric heating equipment, and annealing infrared equipment through the PLC acquisition bus, and use the transmission 5G gateway to aggregate the data to obtain the annealing furnace aggregated data, and use the 5G gateway to transmit the annealing furnace aggregated data to the local and remote servers in the glass park; A melting blower data acquisition system, which is used to collect the melting blower data of the corner cooling blower, calender cooling blower, crown cooling blower, steel crown cooling blower equipment, combustion air cooling blower equipment, and tank wall blower equipment, and use the 5G gateway to transmit the melting blower data to the local and remote servers in the glass park; A utility engineering data acquisition system, which is used to deploy utility engineering data acquisition stations based on the 5G network in the circulating water control room, oil station control room, and air compressor station control room; An AR remote intelligent diagnosis and maintenance system, which is used to establish a virtual 3D model of each industrial equipment in the glass production line and synchronize and match the operation data of the actual equipment to the virtual 3D model; The local and remote servers in the glass park, which are used to store the calender aggregated data, annealing furnace aggregated data, melting blower data, and the utility engineering data, and store the virtual 3D models of the calender equipment and its electrical control equipment, annealing furnace and its electrical control equipment, melting blower and its electrical control equipment, and each equipment and its electrical control equipment in the utility engineering, and cooperate with the AR remote intelligent diagnosis and maintenance system to conduct data analysis to obtain the glass park equipment analysis data. The local and remote servers in the glass park are connected to the calender equipment data acquisition system, the annealing furnace equipment data acquisition system, the melting blower data acquisition system, the utility engineering data acquisition system, and the AR remote intelligent diagnosis and maintenance system; An AR remote intelligent diagnosis and maintenance system, which is used to preset alarm values for the calender equipment, the annealing furnace equipment, the melting blower equipment, and the utility engineering equipment. When the remote parameters of the foregoing equipment trigger the alarm values, warning information is issued according to the preset fault levels. The AR remote intelligent diagnosis and maintenance system is connected to the local and remote servers in the glass park; A glass equipment data visualization platform, which is used to display the glass park equipment analysis data and the warning information.

2. The remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR according to claim 1, characterized in that, The real-time operation data of the calender in the calender equipment data acquisition system includes: upper roll speed, lower roll speed, receiving roll speed, transition roll speed, inlet flow rate, left and right pressure bar pressures, and operating currents of each motor.

3. The remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR according to claim 1, characterized in that The PLC acquisition buses include: DP bus, profinet bus.

4. The remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR according to claim 1, wherein The hardware equipment of the utility engineering data acquisition station is explosion-proof treated.

5. The remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR according to claim 1, characterized in that, In the AR remote intelligent diagnosis and maintenance system, the virtual 3D model of the glass equipment in production is displayed by using the preset AR glasses.

6. The remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR according to claim 5, wherein, The information displayed on the preset AR glasses includes: operating status, process parameters, and maintenance information.

7. The remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR according to claim 5, characterized in that On the visualization interface of the preset AR glasses, annotate and dissect the virtual 3D model, retrieve the operating parameters of the equipment corresponding to the virtual 3D model, and locate the fault based on this.

8. The remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR according to claim 1, characterized in that, The fault levels in the alarm information include: first fault level, second fault level, third fault level, and fourth fault level.

9. The method for remote intelligent diagnosis and maintenance of a glass smart park based on 5G and AR according to claim 8, characterized in that When a fault occurs in the calender equipment, main drive equipment, oil station equipment, air compressor station equipment, circulating water equipment, and melting fan equipment, resulting in a shutdown, the alarm information is directly sent to the monitoring end via text message, and this fault level is defined as the first fault level; When a fault occurs in the calender equipment, the main drive equipment, the oil station equipment, the air compressor station equipment, the circulating water equipment, and the melting fan equipment and switches to the preset standby equipment, the alarm information is sent to the monitoring end via text message, and the fault is defined as the second fault level; When the fault does not cause a shutdown and does not switch to the preset standby equipment, the alarm information is sent to the monitoring end via text message, and the fault level is defined as the second fault level.

10. A remote intelligent diagnosis and maintenance method for a glass smart park based on 5G and AR, characterized in that, The method includes: S1. Transmit the real-time operation data of the calender of each production line and the operation data of each drive frequency converter for the electrical control of the calender to the calender data acquisition sub-station via the 5G network for data aggregation to obtain the calender aggregated data, and use the calender data acquisition sub-station to transmit the calender aggregated data to the local and remote servers of the glass park; S2. By deploying a PLC module and a 5G data gateway in the annealing combined control room, use the PLC module to collect the process parameter data, operating status data, and annealing kiln equipment operation data of the main drive equipment, annealing kiln fan equipment, annealing electric heating equipment, and annealing infrared equipment through the PLC acquisition bus, use the transmission 5G gateway to aggregate the data to obtain the annealing kiln aggregated data, and use the 5G gateway to transmit the annealing kiln aggregated data to the local and remote servers of the glass park; S3. Collect the melting fan data of the corner cooling fan, calender cooling fan, hanging wall cooling fan, steel crown cooling fan equipment, combustion air cooling fan equipment, and tank wall fan equipment, and use the 5G gateway to transmit the melting fan data to the local and remote servers of the glass park; S4. Deploy utility engineering data acquisition stations based on 5G networks in the circulating water control room, the oil station control room, and the air compressor station control room; S5. By establishing virtual 3D models of various industrial equipment in the glass production line, synchronize and match the operating data of the actual equipment to the virtual 3D models; S6. Store the calender summary data, annealing furnace summary data, melting fan data, and the utility engineering data, and store the virtual 3D models of the calender equipment and its electrical control equipment, the annealing furnace and its electrical control equipment, the melting fan and its electrical control equipment, and each equipment and its electrical control equipment in the utility engineering, and cooperate with the AR remote intelligent diagnosis and maintenance system to conduct data analysis to obtain glass park equipment analysis data; S7. By presetting alarm values for the calender equipment, the annealing furnace equipment, the melting fan equipment, and the utility engineering equipment, when the remote parameters of the foregoing equipment trigger the alarm values, send warning information according to the preset fault levels; S8. Use the glass equipment data visualization platform to display the glass park equipment analysis data and the warning information.

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