CN115390500A - Crown block remote control system - Google Patents

Crown block remote control system Download PDF

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Publication number
CN115390500A
CN115390500A CN202211211388.0A CN202211211388A CN115390500A CN 115390500 A CN115390500 A CN 115390500A CN 202211211388 A CN202211211388 A CN 202211211388A CN 115390500 A CN115390500 A CN 115390500A
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Prior art keywords
switch
server
control instruction
crown block
information
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CN202211211388.0A
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Chinese (zh)
Inventor
方堃
王云峰
刘洲印
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Kyland Technology Co Ltd
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Kyland Technology Co Ltd
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Priority to CN202211211388.0A priority Critical patent/CN115390500A/en
Publication of CN115390500A publication Critical patent/CN115390500A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/25Pc structure of the system
    • G05B2219/25257Microcontroller

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Control And Safety Of Cranes (AREA)

Abstract

The invention discloses a remote control system of a crown block. The system comprises: ground station and on-vehicle end, the ground station includes: operation panel, AI server and first switch, on-vehicle end includes: the overhead traveling crane is connected with the operating platform and the AI server through the first switch and the second switch; the operating console is used for sending the control instruction to the AI server through the first switch after the control instruction input by the user is acquired; the AI server is used for sending the control instruction to the overhead travelling crane through the first exchanger and the second exchanger; the overhead traveling crane is used for receiving the control instruction sent by the AI server and executing the control instruction. According to the technical scheme, the integrated management and control of the equipment can be realized, technicians can remotely control the crown block to operate in the operating room, the workload of workers can be reduced, the danger of the workers during operation can be reduced, and meanwhile, the operating efficiency of the crown block can be improved.

Description

Crown block remote control system
Technical Field
The embodiment of the invention relates to the technical field of intelligent manufacturing, in particular to a crown block remote control system.
Background
The overhead traveling crane, that is, the bridge crane, is a bridge crane in which a bridge runs on an overhead rail, the bridge of the bridge crane runs longitudinally along the rails laid on the two sides of the overhead rail, and the crane trolley runs transversely along the rails laid on the bridge to form a rectangular working range, so that the space below the bridge can be fully utilized to hoist materials, and the bridge crane can not be hindered by ground equipment. Bridge cranes are widely used in indoor and outdoor warehouses, factories, docks, open storage yards, and the like.
At present, the operation of the overhead travelling crane must be completed by an operator in an overhead travelling crane cab, the working strength is very high, the workload is heavy, the operator is easy to fatigue, the risk is higher, and the operation efficiency of the overhead travelling crane is lower.
Disclosure of Invention
The embodiment of the invention provides a remote control system of a crown block, which can realize remote control of the crown block, reduce the workload of workers and improve the operation efficiency of the crown block.
According to an aspect of the present invention, there is provided an overhead traveling crane remote control system including: ground station and on-vehicle end, the ground station includes: operation panel, AI server and first switch, on-vehicle end includes: the overhead traveling crane and the second exchanger, the operation desk is connected with the AI server through the first exchanger, and the overhead traveling crane is connected with the operation desk and the AI server through the first exchanger and the second exchanger;
the operating console is used for sending a control instruction input by a user to the AI server through the first switch after the control instruction is obtained;
the AI server is used for sending the control instruction to the overhead travelling crane through the first switchboard and the second switchboard;
and the overhead traveling crane is used for receiving the control instruction sent by the AI server and executing the control instruction.
According to another aspect of the present invention, there is provided a crown block remote control method performed by a ground station, the crown block remote control method including:
acquiring a control instruction input by a user;
and sending the control instruction to the crown block through a real-time operating system so that the crown block executes the control instruction.
According to another aspect of the present invention, there is provided a crown block remote control method performed by a vehicle-mounted terminal, the crown block remote control method including:
acquiring field video data through a camera, and sending the field video data to the ground station;
and receiving a control instruction sent by the ground station, and executing the control instruction.
The embodiment of the invention designs a crown block remote control system, which comprises a ground station and a vehicle-mounted end, wherein an operation console in the ground station sends a control instruction to an AI server in the ground station through a first switch in the ground station after acquiring the control instruction input by a user; an AI server in the ground station sends a control instruction to an overhead traveling crane in the vehicle-mounted end through a first switch in the ground station and a second switch in the vehicle-mounted end; and the crown block in the vehicle-mounted end receives the control command sent by the AI server in the ground station and executes the control command to complete the interaction between the ground station and the vehicle-mounted end. According to the technical scheme, the integrated management and control of the equipment can be realized, technicians can remotely control the crown block to operate in the operating room, the workload of workers can be reduced, the danger of the workers during operation can be reduced, and meanwhile, the operating efficiency of the crown block can be improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an overhead travelling crane remote control system in an embodiment of the present invention;
fig. 2 is a flowchart of a method for remotely controlling an overhead traveling crane according to an embodiment of the present invention;
fig. 3 is a flowchart of another method for remotely controlling an overhead traveling crane according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a schematic structural diagram of an overhead traveling crane remote control system in an embodiment of the present invention, and this embodiment is applicable to a remote control situation. As shown in fig. 1, the overhead traveling crane remote control system includes: a ground station 10 and a vehicle-mounted terminal 11, the ground station comprising: the console 101, the AI server 102, and the first switch 103, the in-vehicle terminal 11 includes: a crown block 111 and a second switch 112. The operation console 101 is connected to the AI server 102 via the first switch 103, and the overhead traveling vehicle 111 is connected to the operation console 101 and the AI server 102 via the first switch 103 and the second switch 112.
The ground station 10 may be a workstation arranged on the ground for remotely controlling the operation of the overhead traveling crane, and specifically, the main control hardware of the ground station 10 is composed of 2X 86 hardware platform architectures with redundant hot standby functions and 9 overhead traveling crane operation consoles 101. The software system includes: the software-defined remote control operating system comprises a real-time operating system as a bottom-layer environment, the operating system environment is Type2 virtualization, and not only is compatible with existing non-real-time applications (advanced algorithms such as graphic processing, a database, machine vision, artificial intelligence and the like) provided, but also the scanning period of an internal program of the operating environment system of the high-real-time application can be preset time (the preset time can be set by a user according to actual conditions, such as 1 millisecond, and the embodiment does not limit the preset time), shared memory communication between the non-real-time operating environment and the real-time system operating environment is provided, the non-real-time operating environment can be independently restarted, and the requirement of fusion of multiple types of services can be met. The operator executes the action by controlling the linkage rod on the operation console 101 according to the field video data sent by the vehicle-mounted terminal 20, and the automatic control information is sent to the application in the real-time system environment through the internal bus.
The operation platform 101 may be a work platform in the ground station 10 for performing remote control operation on the overhead travelling crane according to the instruction, and the operation platform 101 may include functional devices such as an operation handle and related buttons for performing remote control operation on the overhead travelling crane.
In this embodiment, the AI server 102 in the ground station 10 may be an AI server in an X86 architecture, and a software architecture is an installed virtualized Type2_ Intewell operating system in the bottom layer. The method is characterized in that a microkernel architecture is unified, and software definition of hardware resources is realized; the non-real-time system and the real-time system operate independently and support shared memory communication. A plurality of high-precision AI identification algorithms are deployed in a non-real-time system, manual intervention is not needed, unsafe behaviors of people and unsafe states of objects can be automatically identified, and safety production accidents can be effectively prevented. By combining Big Data BI (Big Data Business Intelligence) analysis, the machine can understand the Business, thereby effectively helping enterprises to improve work enabling, improve operation safety, improve product quality and reduce operation cost. A plurality of independent and parallel RTOSs (Real Time Operating System) are deployed in the Real-Time System, and the micro-kernel architecture, high Real-Time, device resource sharing, and sharing of TCP/IP (Transmission Control Protocol/Internet Protocol) and part of POSIX (Portable Operating System Interface) interfaces are realized. Each independently running RTOS can be restarted independently without affecting the intelligent algorithms of the AI in the non-real time system and other running RTOSs. The 1 AI server 102 can control a plurality of operation platforms 101 and intelligent analysis of personnel intrusion, and can improve the safety production on site. In the present embodiment, the ground station 10 is configured with two AI servers 102, one of which serves as a backup server.
In the present embodiment, the on-board terminal 11 includes a crown block 111 and a second switch 112.
The first switch 103 and the second switch 112 can receive and forward data to the terminal device through message exchange, and in this embodiment, the first switch 103 and the second switch 112 are machines for performing message exchange between the ground station 10 and the vehicle-mounted terminal 11.
The console is used for sending the control instruction to the AI server through the first switch after acquiring the control instruction input by the user.
The control command may be a command for controlling the overhead traveling crane, which is input from the user on the operation console, based on the actual operation state of the overhead traveling crane. For example, the control command may be a parking command, that is, a crown block is remotely controlled to perform a parking operation.
Specifically, a user inputs a control instruction in an operation console in the ground station, and after the operation console obtains the control instruction input by the user, the control instruction is sent to the AI server in the ground station through the first switch.
The AI server is used for sending the control instruction to the overhead traveling crane through the first switch and the second switch.
Specifically, the AI server is connected with the overhead traveling crane through the first switch and the second switch, and after receiving the control command sent by the console, the AI server sends the control command to the overhead traveling crane at the vehicle-mounted end through the first switch and the second switch.
The overhead traveling crane is used for receiving the control instruction sent by the AI server and executing the control instruction.
Specifically, the overhead traveling crane receives the control instruction sent by the AI server, and executes the control instruction to complete the operation content corresponding to the control instruction. In the actual operation process, each overhead traveling crane is provided with 1 wireless receiving device, the working frequency of the wireless receiving device is 5.8GHZ, and a PF antenna or an external antenna is arranged inside the overhead traveling crane.
The embodiment of the invention designs a crown block remote control system, which comprises a ground station and a vehicle-mounted end, wherein an operation console in the ground station sends a control instruction to an AI server in the ground station through a first switch in the ground station after acquiring the control instruction input by a user; an AI server in the ground station sends a control instruction to an overhead traveling crane in the vehicle-mounted end through a first switch in the ground station and a second switch in the vehicle-mounted end; and the crown block in the vehicle-mounted end receives the control command sent by the AI server in the ground station and executes the control command to complete the interaction between the ground station and the vehicle-mounted end. According to the technical scheme, the integrated management and control of the equipment can be realized, technicians can remotely control the crown block to operate in the operating room, the workload of workers can be reduced, the danger of the workers during operation can be reduced, and meanwhile, the operating efficiency of the crown block can be improved.
Furthermore, the overhead traveling crane is also used for acquiring the field video data and sending the field video data to the operation console through the first switch and the second switch.
It should be explained that the field video data may be environmental video data around the overhead traveling crane collected by a camera arranged on the overhead traveling crane when the overhead traveling crane performs work at the work site.
Specifically, the overhead traveling crane acquires field video data when performing operation on an operation field, and transmits the field video data to an operation console in the ground station through the first switch and the second switch.
Further, the AI server is also used for a virtual real-time operating system and a non-real-time operating system, and the number of the real-time operating systems is the same as the number of the operating stations.
In this embodiment, the AI server may be an AI server of an X86 architecture, and multiple real-time operating systems are virtualized by using a unified X86 architecture hardware platform, where the number of the real-time operating systems is the same as the number of the operating stations, so that resource allocation as needed is realized, and a cooperative control integrated management and control platform of the ground station and the overhead traveling crane in the vehicle-mounted terminal is created. The non-real-time operating system can be a Windows system, a Unix system, a Linux system and other systems, and the most common operating system in the learning process is a general operating system, namely the Windows system, the Unix system, the Linux system and other systems, which are developed from a time-sharing operating system. The basic design principle of the time-sharing operating system is as follows: the average response time of the system is shortened as much as possible, the throughput rate of the system is improved, and service is provided for as many user requests as possible in unit time. Thus, compared to a real-time operating system, a non-real-time operating system pays more attention to the average performance of the system, and in terms of response time, the non-real-time operating system pays more attention to the average response time of all tasks, that is, it pays more attention to the average response time of all tasks and does not pay more attention to the response time of a single task, and for a single task, pays more attention to the average response time of each execution and does not pay more attention to the response time of a specific execution. Windows, the most commonly used general-purpose operating system, supports systems to manage multi-user, multi-process system resources. Different from a kernel preemption mechanism of a real-time operating system, the kernel of the time-sharing operating system cannot be preempted, and no matter what task the priority is, the task can be executed only after the current CPU task is finished or the current task is actively quitted. Therefore, the most direct difference between the non-real-time operating system and the real-time operating system is that: when the kernel is in a relatively consumed state, the processing delay of the non-real-time operating system is increased, and even the final time limit of the execution of the task with the highest priority cannot be guaranteed.
Specifically, the AI server may virtualize a real-time operating system and a non-real-time operating system, where the number of real-time operating systems is the same as the number of operating stations.
In the actual operation process, the AI server is a 6-core server, a real-time operating system is virtualized by 2 cores, a non-real-time operating system is virtualized by 4 cores, each core can virtualize 7 real-time operating systems, and the number of the virtualized real-time operating systems is the same as that of the operating platforms.
Further, the AI server is further configured to: and sending the control instruction to the crown block through the virtual real-time operating system.
Specifically, the AI server sends the control instruction sent from the console to the overhead traveling crane through the first switch and the second switch by using the virtual real-time operating system.
Further, the AI server is further configured to: and identifying the field video data through the virtualized non-real-time operating system to obtain the reminding information.
In this embodiment, the non-real-time operating system may be configured to identify live video data acquired by the overhead traveling crane, and the specific identification content may include: personnel intrusion, helmet identification, vehicle identification, smoke and fire identification, work clothes identification, off duty identification, smoking identification and the like.
The reminding information may be information for reminding the user by the AI server according to an identification result obtained by identifying the live video data. Illustratively, the reminding information can be reminding words, alarm sound or the like.
Specifically, in this embodiment, the AI server may be an AI server with an X86 architecture, and intelligent manual identification analysis such as personnel intrusion, helmet identification, vehicle identification, smoke and fire identification, work clothes identification, off-duty identification, smoking identification, and the like may be performed on the field video data through a virtual non-real-time operating system. And obtaining reminding information through the result of identifying and analyzing the field video data, and carrying out safety reminding on an operator.
In the implementation process, whether the personnel carry the safety helmet or whether smoking and other behaviors can be analyzed through machine learning, and the stable and safe operation of the overhead travelling crane, the safety of loaded articles and ground personnel and the like can be guaranteed. Specifically, the AI server may virtualize a Windows operating system, and perform functions such as artificial intelligence or edge machine learning using C language to identify images.
Further, the ground station further comprises: a display, the console further to: and receiving the field video data, controlling the display to display the field video data, and sending the field video data to the AI server.
In the actual operation process, each console in the ground station is provided with a display with a GPU (Graphics Processing Unit) and composed of 3 pieces of 21-inch splicing screens, and 1 high definition decoder and 1 NVR (Network Video Recorder) Video memory for outputting and recording image information corresponding to field Video data of the operation field of the overhead travelling crane at the vehicle-mounted end.
Specifically, the ground station further comprises a display, and the display can be arranged on the operation table. The operating platform receives the field video data sent by the overhead traveling crane, controls the display to display image information corresponding to the field video data, and sends the field video data to the AI server.
Further, the crown block is also used for: and acquiring the state information of the crown block, and sending the state information of the crown block to the operation platform through the first switch and the second switch.
The state information of the overhead traveling crane may be operation state information of the overhead traveling crane at the time of performing the work at the work site. For example, the state information of the overhead traveling crane may be a normal operation state, that is, the overhead traveling crane is in normal operation and normal operation; the state information of the overhead travelling crane can also be a fault state, namely the overhead travelling crane has a fault and cannot normally operate and normally work.
Specifically, the overhead traveling crane acquires the state information of the overhead traveling crane, and sends the state information of the overhead traveling crane to an operation console in the ground station through the first switch and the second switch so as to inform a user whether the overhead traveling crane normally operates or fails to normally operate.
Further, the operation table is also used for: after receiving a control instruction input by a user, if the crown block is determined to be in a normal operation state according to the state information of the crown block, sending the control instruction to an AI server through a first switch, and sending the control instruction to the crown block through a real-time operating system so that the crown block executes the control instruction.
It should be noted that the normal operation state may be a state in which the overhead traveling crane is not in fault, and is in normal operation and normal operation.
Specifically, after the control instruction input by the user is received by the console, if the state information of the overhead traveling crane sent by the overhead traveling crane through the first switch and the second switch determines that the overhead traveling crane is in the normal operation state, the control instruction is sent to the AI server through the first switch, and the AI server sends the control instruction sent by the console to the overhead traveling crane through the first switch and the second switch through the virtual real-time operating system.
Further, the overhead traveling crane includes: the first edge server is connected with the frequency converter and the motor, and the frequency converter is connected with the motor.
In this embodiment, each overhead traveling crane is composed of 1 first edge server, 3 frequency converters (cart, dolly, and main hook), and 7 motors. The first edge server is responsible for the work of overall communication and logic control and can drive a cart, a trolley, a main hook and 3 frequency converters. Each frequency converter corresponds to at least one motor, for example: the first frequency converter corresponds to a cart motor, the second frequency converter corresponds to a cart motor, the third frequency converter corresponds to a main hook motor and the like.
The first edge server is used for receiving the control instruction sent by the AI server and sending the control instruction to the frequency converter.
In actual operation, the AI server in the ground station is connected to the 5G radio base station through the first switch and the second switch and transmits a control command to the first edge server in the overhead traveling crane on the vehicle side with a delay time of less than 20 msec. A plurality of 30W 5G wireless base stations and an edge server form a 5G wireless network, the working efficiency is 5.8GHz, and the 5G wireless network is provided with an external dipole antenna, so that the exchange delay time between a ground station and a vehicle-mounted terminal can be greatly shortened.
Specifically, taking 1 overhead traveling crane as an example, after a first edge server in the overhead traveling crane receives a control instruction sent by an AI server in a 5G network through a 5G module, the control instruction is sent to a frequency converter in the overhead traveling crane through data transmission by a second switch in the vehicle-mounted terminal through local edge decision and security analysis.
The frequency converter is used for receiving the control instruction sent by the first edge server and sending the control instruction to a motor corresponding to the frequency converter.
Specifically, after receiving a control instruction sent by the first edge server, the frequency converter sends the control instruction to a motor corresponding to the frequency converter so as to control the motor to rotate positively and negatively, and the horizontal movement of the cart, the transverse movement of the cart, the vertical movement of the hook and the rotation of the clamp of the overhead travelling crane are realized.
The motor is used for receiving the control command sent by the frequency converter and executing the control command.
Specifically, after the motor receives a control command sent by the frequency converter, the motor executes the control command to realize the forward rotation and the reverse rotation of the motor, and realize the horizontal movement of the cart, the transverse movement of the trolley, the up-and-down movement of the hook and the rotation of the clamp of the overhead travelling crane.
Further, the overhead traveling crane still includes: the sensor is connected with the first edge server.
In this embodiment, each overhead traveling crane is provided with position sensors such as an encoder, a laser radar and a limit switch, and is further provided with a related safety sensor.
The sensor is used for collecting the state information of the crown block and sending the state information of the crown block to the operation console through the first exchanger and the second exchanger so that the operation console controls the display to display the state information of the crown block.
Specifically, the sensor that arranges on the overhead traveling crane is used for gathering the status information of overhead traveling crane to send the status information of overhead traveling crane to the operation panel in the ground station through first switch and second switch, so that the operation panel control display in the ground station shows the status information of overhead traveling crane, and the user can see through the display directly perceivedly conveniently whether the overhead traveling crane is in normal operating, or has taken place the trouble.
Further, the AI server is further configured to:
and acquiring a target identifier corresponding to the field video data.
It should be noted that the target identifier may be IP address information of the console. Illustratively, IP address information 192.168.0.71 corresponds to console 1, IP address information 192.168.0.75 corresponds to console 5, and so on.
In the actual operation process, each non-real-time operating system corresponds to one physical network card, two virtual network cards are constructed based on the physical network cards, and the IP addresses corresponding to the network cards are different. Specifically, an operating platform identifier corresponding to the field video data is obtained, and a plurality of operating platforms can process a plurality of field video data.
And acquiring a non-real-time operating system corresponding to the target identifier.
Specifically, one field video data corresponds to one console identifier, one non-real-time operating system corresponds to one console identifier, and the non-real-time operating system corresponding to the console identifier is obtained.
And identifying the field video data through a non-real-time operating system to obtain reminding information.
In this embodiment, the AI server in the ground station may be an AI server of an X86 architecture, and intelligent manual identification analysis such as personnel intrusion, helmet identification, vehicle identification, smoke and fire identification, work clothes identification, off duty identification, smoking identification, and the like may be performed on the field video data through a virtualized non-real-time operating system. And obtaining reminding information through the result of identifying and analyzing the field video data, and carrying out safety reminding on an operator. Illustratively, the reminding information can be reminding words, alarm sound or the like.
Further, the overhead traveling crane still includes: the camera is connected with the first edge server.
In the actual operation process, each overhead traveling crane is usually provided with a plurality of cameras, for example: the positions of the cart, the trolley, the hook, the small hook, the clamp and the traveling crane body are 1 path respectively. In this embodiment, 3 high definition cameras are arranged on the vehicle body of each overhead traveling crane, and are distributed and installed on the big hook, the small hook and the clamp. The camera can be a 200-ten-thousand-pixel protection level IP67 industrial camera, is connected to a second switch through an Ethernet, reversely uploads field video data of a crown block operation field to a first edge server, sends the data to a base station in a 5G network through a 5G wireless module through local data cleaning, and is connected to the second switch through a wire to perform intelligent analysis and safety production statistics.
The camera is used for collecting the field video data and sending the field video data to the first edge server.
Specifically, the camera is used for collecting field video data of the operation field of the overhead travelling crane and sending the field video data to the first edge server.
Further, the overhead traveling crane still includes: big hook, little hook and clamp, the camera includes: the device comprises a camera for acquiring a big hook image, a camera for acquiring a small hook image and a camera for acquiring a clamp image.
The overhead traveling crane includes hook, hooklet and clamp, all installs the camera at hook, hooklet and clamp, and the camera includes: the device comprises a camera for acquiring a big hook image, a camera for acquiring a small hook image and a camera for acquiring a clamp image. The cameras respectively collect images of the positions of the crown blocks at the installation positions so as to check the working states of the positions of the crown blocks.
Further, the overhead traveling crane remote control system further includes: and the scheduling subsystem is connected with the ground station.
In this embodiment, the scheduling subsystem may be configured to send information such as transportation, storage, packaging, loading, unloading, and the like in a production process to an ERP (Enterprise Resource Planning) system and an electronic sales platform upwards; meanwhile, the actually required steel coil production information, the library position information and the like are sent to the ground station downwards. All the information is connected with each other through a gigabit ring network switch, and high-speed TCP/IP Ethernet data transmission is carried out. The scheduling subsystem is mainly responsible for quick notification and command issuing of the logistics system and can intuitively display the state of the notified object.
And the ground station receives scheduling task information issued by the scheduling subsystem.
Wherein, the scheduling task information includes: at least one of steel coil production arrangement information, storage position information, warehousing information, ex-warehouse information and equipment maintenance information.
Specifically, the scheduling subsystem sends at least one scheduling task information of steel coil scheduling information, storage location information, warehousing information, ex-warehouse information and equipment maintenance information which are actually required to the ground station, and the ground station receives the scheduling task information issued by the scheduling subsystem.
And the ground station generates feedback information according to the state information and the scheduling task information of the crown block and sends the feedback information to the scheduling subsystem.
The feedback information may be information on whether the overhead traveling crane can execute the scheduling task, which is generated by the ground station according to the state information of the overhead traveling crane and the scheduling task information.
Specifically, the ground station generates feedback information according to the state information and scheduling task information of the overhead traveling crane, and sends the feedback information to the scheduling subsystem. For example, the scheduling task information may be that the overhead traveling crane is controlled to perform hoisting operation on goods such as steel coils, but at this time, the state information of the overhead traveling crane shows that the overhead traveling crane is in a fault state, and the feedback information may be that the overhead traveling crane cannot complete the scheduling task.
In the actual operation process, an operator remotely operates the hand lever and the related buttons according to scheduling task information issued by the scheduling subsystem to hoist the goods such as the steel coil and the like. The operation instruction reaches the RTOS of the AI server through the digital quantity input module, and is issued after logical judgment.
Further, the first switch comprises: the system comprises a video switch and a remote system switch, wherein the video switch is used for forwarding field video data, and the remote system switch is used for forwarding a control instruction.
Specifically, the first switch includes a video switch and a remote system switch. The remote system switch can be 1 24-port 3-layer network switch and is used for forwarding the control instruction; the video switch may be a 1-station 24-port 3-layer network switch for forwarding live video data. Correspondingly, the second switch also comprises 2 POE switches (Power Over Ethernet, ethernet Power supply switch) with 8 ports, wherein 1 is responsible for forwarding the field video data, and 1 is responsible for forwarding the control command.
Example two
Fig. 2 is a flowchart of a method for remotely controlling an overhead traveling crane according to an embodiment of the present invention, where the present embodiment is applicable to a situation of remotely controlling an overhead traveling crane, and the method may be executed by a ground station according to an embodiment of the present invention, as shown in fig. 2, the method specifically includes the following steps:
s201, acquiring a control instruction input by a user.
Specifically, a user inputs a control instruction by operating an operating lever or an operating button arranged on an operating console in the ground station, and the ground station acquires the control instruction input by the user. The control command may be a command determined by a user according to the live video data and the scheduling task information, or may be a command automatically determined by the console. For example, the control command may be a parking command, i.e. the overhead travelling crane is remotely controlled to perform a parking operation.
S202, sending the control instruction to the overhead travelling crane through the real-time operating system so that the overhead travelling crane can execute the control instruction.
Specifically, after a user inputs a control instruction through an operation console in the ground station, the operation console acquires the control instruction input by the user and sends the control instruction to an AI server in the ground station through a first switch. The AI server receives a control instruction sent by the console and then sends the control instruction to the overhead traveling crane at the vehicle-mounted end by using the first switch and the second switch through the virtual real-time operating system. And the overhead traveling crane receives the control instruction sent by the AI server, executes the control instruction and finishes the operation content corresponding to the control instruction.
According to the technical scheme, the control instruction input by the user is obtained, and the control instruction is sent to the overhead travelling crane through the real-time operating system, so that the overhead travelling crane executes the control instruction, the integration of equipment management and control can be realized, technicians can remotely control the overhead travelling crane to operate in an operating room, the workload of workers can be reduced, the danger of the workers during working is reduced, and meanwhile, the working efficiency of the overhead travelling crane can be improved.
Optionally, before obtaining the control instruction input by the user, the method further includes:
and receiving the field video data sent by the vehicle-mounted end.
Specifically, when the overhead traveling crane operates at an operation site, the overhead traveling crane acquires field video data within a certain range around the overhead traveling crane through a camera mounted on the overhead traveling crane. After the overhead traveling crane acquires the field video data, the field video data are sent to an operation console in the ground station through the first switch and the second switch, and the operation console in the ground station receives the field video data sent by the overhead traveling crane in the vehicle-mounted end.
And identifying the field video data through the virtualized non-real-time operating system to obtain the reminding information.
Specifically, in this embodiment, the AI server may be an AI server with an X86 architecture, and intelligent manual identification analysis such as personnel intrusion, helmet identification, vehicle identification, smoke and fire identification, work clothes identification, off duty identification, smoking identification, and the like may be performed on the field video data through a virtualized non-real-time operating system. The reminding information is obtained through the result of the identification and analysis of the field video data, the safety reminding is carried out on the operating personnel, the manual intervention is not needed in the process, the unsafe behaviors of people or the unsafe states of objects can be automatically identified, the occurrence of safety production accidents can be effectively prevented, and the functions of identifying the invasion of illegal personnel, carrying out abnormal alarm, event recording, inquiring and the like on whether a safety helmet is worn or not can be realized.
Optionally, identifying the field video data through the virtualized non-real-time operating system to obtain the reminding information includes:
and acquiring an operation platform identifier corresponding to the field video data.
The console identifier may be IP address information of the console. Illustratively, IP address information 192.168.0.71 corresponds to console 1, IP address information 192.168.0.75 corresponds to console 5, and so on.
In the actual operation process, each non-real-time operating system corresponds to one physical network card, two virtual network cards are constructed based on the physical network cards, and the IP addresses corresponding to the network cards are different. Specifically, an operating platform identifier corresponding to the field video data is obtained, and a plurality of operating platforms can process a plurality of field video data.
And acquiring a target non-real-time operating system corresponding to the operating platform identifier.
The target non-real-time operating system may be a non-real-time operating system corresponding to an operating platform identifier corresponding to the live video data.
Specifically, one field video data corresponds to one console identifier, one non-real-time operating system corresponds to one console identifier, and a target non-real-time operating system corresponding to the console identifier is obtained.
And identifying the field video data through the target non-real-time operating system to obtain reminding information.
In this embodiment, the AI server in the ground station may be an AI server of an X86 architecture, and intelligent manual identification analysis such as personnel intrusion, helmet identification, vehicle identification, smoke and fire identification, work clothes identification, off duty identification, smoking identification, and the like may be performed on the field video data through a virtualized non-real-time operating system. And obtaining reminding information through the result of identifying and analyzing the field video data, and carrying out safety reminding on an operator. Illustratively, the reminding information can be reminding words, alarm sound or the like.
Optionally, the sending the control instruction to the overhead traveling crane through the real-time operating system to enable the overhead traveling crane to execute the control instruction includes:
and receiving the state information of the crown block sent by the vehicle-mounted end.
Specifically, the crown block acquires state information of the crown block, the state information of the crown block is sent to an operation console in the ground station through the first switch and the second switch, so that a user is informed whether the crown block normally operates or fails to normally operate, and the operation console in the ground station receives the state information of the crown block sent by the vehicle-mounted end.
And if the crown block is determined to be in a normal running state according to the state information of the crown block, sending the control instruction to the crown block through the real-time operating system so that the crown block executes the control instruction.
Specifically, after the control instruction input by the user is received by the console, if the state information of the overhead traveling crane sent by the overhead traveling crane through the first switch and the second switch determines that the overhead traveling crane is in the normal operation state, the control instruction is sent to the AI server through the first switch, and the AI server sends the control instruction sent by the console to the overhead traveling crane through the first switch and the second switch through the virtual real-time operating system.
EXAMPLE III
Fig. 3 is a flowchart of another method for remotely controlling an overhead traveling crane according to an embodiment of the present invention, where the present embodiment is applicable to a situation of remotely controlling an overhead traveling crane, and the method may be executed by a vehicle-mounted terminal according to an embodiment of the present invention, as shown in fig. 3, where the method specifically includes the following steps:
s301, acquiring field video data through the camera, and sending the field video data to the ground station.
Specifically, a camera installed on the overhead traveling crane collects field video data of an operation site of the overhead traveling crane, and the overhead traveling crane sends the field video data to an operation console in the ground station through the first switch and the second switch.
And S302, receiving a control instruction sent by the ground station and executing the control instruction.
Specifically, after receiving a control instruction sent by an AI server in the ground station, a first edge server in the vehicle-mounted terminal sends the control instruction to the frequency converter. And the frequency converter receives the control instruction sent by the first edge server and sends the control instruction to a motor corresponding to the frequency converter. And the motor receives the control command sent by the frequency converter and executes the control command.
According to the technical scheme, the camera is used for acquiring the field video data, the field video data are sent to the ground station, the control instruction sent by the ground station is received, the control instruction is executed, the integration of equipment management and control can be realized, technicians can remotely control the overhead travelling crane to operate in the operating room, the workload of workers can be reduced, the danger of the workers during working is reduced, and meanwhile the operating efficiency of the overhead travelling crane can be improved.
Optionally, the method for remotely controlling an overhead traveling crane further includes:
and acquiring the state information of the overhead travelling crane through a sensor.
Specifically, position sensors such as an encoder, a laser radar and a limit switch are arranged on each overhead traveling crane in the embodiment, and related safety sensors are further arranged and used for collecting state information of the overhead traveling cranes. The state information of the overhead traveling crane may be operation state information of the overhead traveling crane during operation on the operation site. For example, the state information of the overhead traveling crane may be a normal operation state, that is, the overhead traveling crane is in normal operation and normal operation; the state information of the overhead travelling crane can also be a fault state, namely the overhead travelling crane has a fault and cannot normally operate and normally work.
And sending the state information of the crown block to the ground station so that the ground station displays the state information of the crown block.
Specifically, the overhead traveling crane acquires the state information of the overhead traveling crane through the sensor, and sends the state information of the overhead traveling crane to the first edge server, and the first edge server sends the state information of the overhead traveling crane to the display in the ground station through the first switch and the second switch, so that the display in the ground station displays the state information of the overhead traveling crane, and informs a user whether the overhead traveling crane normally operates or not, or the overhead traveling crane fails to normally operate due to faults.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (13)

1. A crown block remote control system, comprising: ground station and on-vehicle end, the ground station includes: operation panel, AI server and first switch, on-vehicle end includes: the overhead traveling crane is connected with the operating platform and the AI server through the first switch and the second switch;
the operating console is used for sending a control instruction input by a user to the AI server through the first switch after the control instruction is obtained;
the AI server is used for sending the control instruction to the crown block through the first switch and the second switch;
and the overhead traveling crane is used for receiving the control instruction sent by the AI server and executing the control instruction.
2. The system of claim 1, wherein the crown block is further configured to obtain live video data and send the live video data to the console via the first switch and the second switch.
3. The system of claim 1, wherein the AI server is further configured to virtualize a real-time operating system and a non-real-time operating system, and wherein the number of real-time operating systems is the same as the number of operating stations.
4. The system of claim 3, wherein the AI server is further configured to: and sending the control instruction to the crown block through a virtual real-time operating system.
5. The system of claim 3, wherein the AI server is further configured to: and performing safety analysis and identification on the field video data through a virtual non-real-time operating system to obtain reminding information.
6. The system of claim 1, wherein the ground station further comprises: a display, the console further to: and receiving the field video data, controlling the display to display the field video data, and sending the field video data to the AI server.
7. The system of claim 1, wherein the crown block is further configured to: and acquiring the state information of the crown block, and sending the state information of the crown block to the operation platform through the first switch and the second switch.
8. The system of claim 7, wherein the console is further configured to: after receiving a control instruction input by a user, if the crown block is determined to be in a normal operation state according to the state information of the crown block, sending the control instruction to the AI server through the first switch, and sending the control instruction to the crown block through a real-time operating system so that the crown block executes the control instruction.
9. The system of claim 1, wherein the crown block comprises: the system comprises a first edge server, a frequency converter and a motor, wherein the first edge server is connected with the frequency converter and the motor;
the first edge server is used for receiving the control instruction sent by the AI server and sending the control instruction to the frequency converter;
the frequency converter is used for receiving a control instruction sent by the first edge server and sending the control instruction to a motor corresponding to the frequency converter;
the motor is used for receiving the control command sent by the frequency converter and executing the control command.
10. The system of claim 9, wherein the crown block further comprises: the sensor is connected with the first edge server;
the sensor is used for collecting the state information of the overhead travelling crane, and sending the state information of the overhead travelling crane to the operation panel through the first switch and the second switch, so that the operation panel controls the display to display the state information of the overhead travelling crane.
11. The system of claim 5, wherein the AI server is further configured to: acquiring a target identifier corresponding to the field video data; acquiring a non-real-time operating system corresponding to the target identifier; and identifying the field video data through the non-real-time operating system to obtain reminding information.
12. The system of claim 10, further comprising: the scheduling subsystem is connected with the ground station;
the ground station receives scheduling task information issued by the scheduling subsystem, wherein the scheduling task information comprises: at least one of steel coil production scheduling information, storage position information, warehousing information, ex-warehouse information and equipment maintenance information;
and the ground station generates feedback information according to the state information of the crown block and the scheduling task information, and sends the feedback information to the scheduling subsystem.
13. The system of claim 1, wherein the first switch comprises: the video switch is used for forwarding the field video data, and the remote system switch is used for forwarding the control instruction.
CN202211211388.0A 2022-09-30 2022-09-30 Crown block remote control system Pending CN115390500A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211211388.0A CN115390500A (en) 2022-09-30 2022-09-30 Crown block remote control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211211388.0A CN115390500A (en) 2022-09-30 2022-09-30 Crown block remote control system

Publications (1)

Publication Number Publication Date
CN115390500A true CN115390500A (en) 2022-11-25

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211211388.0A Pending CN115390500A (en) 2022-09-30 2022-09-30 Crown block remote control system

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