CN115129000A - Intelligent production method and intelligent production system - Google Patents
Intelligent production method and intelligent production system Download PDFInfo
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- CN115129000A CN115129000A CN202110322405.7A CN202110322405A CN115129000A CN 115129000 A CN115129000 A CN 115129000A CN 202110322405 A CN202110322405 A CN 202110322405A CN 115129000 A CN115129000 A CN 115129000A
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- laser navigation
- navigation vehicle
- cloud server
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4189—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the transport system
- G05B19/41895—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the transport system using automatic guided vehicles [AGV]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31002—Computer controlled agv conveys workpieces between buffer and cell
Abstract
The application provides an intelligent production method and an intelligent production system, wherein the method comprises the following steps: acquiring state information of the laser navigation vehicle and sending the state information to a cloud server; based on the state information, controlling the laser navigation vehicle to drive to a corresponding position based on the control instruction by using the cloud server; after the laser navigation vehicle runs to the corresponding position, the cloud server is used for controlling the assembly line equipment to butt the laser navigation vehicle and corresponding operation; monitoring the assembly line equipment by using a machine vision module, acquiring an image of the assembly line equipment and operation information of the assembly line equipment, and sending the operation information to a cloud server; the cloud server is used for counting and analyzing the state information and the operation information, and transmitting the state information and the operation information to the internet billboard; and displaying the state information and the operation information on a remote login interface by using an internet billboard. The method and the device can realize numerical control, networking and intellectualization of workshop production.
Description
Technical Field
The application relates to the field of production and manufacturing, in particular to an intelligent production method and an intelligent production system.
Background
At present, the production process and the teaching process are disjointed, so that students cannot intuitively know knowledge in the aspect of intelligent production, and the practical ability of the students cannot be enhanced. Meanwhile, the degree of integration of the manufacturing industry and the internet is not high enough, and the whole-process intelligence of the manufacturing industry needs to be further enhanced.
Disclosure of Invention
In view of the above, there is a need for an intelligent production method and an intelligent production system, which can facilitate the combination of production workshops and schools, enhance the practical ability of students, and realize the numerical control, networking and intelligence of workshop production.
The intelligent production system comprises: the system comprises a cloud server, a laser navigation vehicle, assembly line equipment and a machine vision module which are in communication connection with each other; the laser navigation vehicle acquires state information of the laser navigation vehicle and sends the state information to the cloud server; the cloud server sends a control instruction to the laser navigation vehicle according to the state information of the laser navigation vehicle, and the laser navigation vehicle drives to a corresponding position based on the control instruction; the cloud server controls the assembly line equipment to be in butt joint with the laser navigation vehicle and controls the assembly line equipment to perform corresponding operation; the machine vision module monitors the assembly line equipment to obtain an image of the assembly line equipment; the machine vision module analyzes the image of the assembly line equipment, obtains the operation information of the assembly line equipment, and sends the operation information of the assembly line equipment to the cloud server.
Optionally, the status information includes a position where the laser navigation vehicle is located and surrounding environment information.
Optionally, the system further comprises an internet billboard; the cloud server counts and analyzes the state information of the laser navigation vehicle and the operation information of the assembly line equipment, and transmits the state information of the laser navigation vehicle and the operation information of the assembly line equipment to the internet billboard; the internet billboard displays the state information of the laser navigation vehicle and the operation information of the assembly line equipment on a remote login interface; the internet billboard responds to the operation of a user on the remote login interface and sends a corresponding instruction to the cloud server; comparing the state information of the laser navigation vehicle with preset first normal information, and sending the first abnormal information to a corresponding user according to a preset first rule when the cloud server determines that the state information of the laser navigation vehicle has first abnormal information; and comparing the operation information of the assembly line equipment with preset second normal information, and sending the second abnormal information to a corresponding user according to a preset second rule when the cloud server determines that the second abnormal information exists in the operation information of the assembly line equipment.
Optionally, the assembly line equipment comprises intelligent warehousing equipment, an automatic feeding machine, an industrial robot and automatic assembling equipment; the intelligent storage equipment is used for storing raw materials and carriers required by the production process; the intelligent warehousing equipment is also used for butting with the laser navigation vehicle according to a second instruction for transferring the carrier sent by the cloud server and transferring the carrier to the laser navigation vehicle; the intelligent storage equipment is further used for transferring the raw materials to the carrier on the laser navigation vehicle according to a fourth instruction for transferring the raw materials, which is sent by the cloud server; the automatic feeding machine is used for being in butt joint with the laser navigation vehicle according to a sixth instruction sent by the cloud server, receiving the carrier bearing the raw material from the laser navigation vehicle, and transferring the carrier bearing the raw material to a fourth position, wherein the fourth position is an area where the industrial robot grabs the raw material; the industrial robot is used for processing the raw materials in the carrier according to a seventh instruction sent by the cloud server; and positioning the raw materials by the automatic assembling equipment, and assembling the raw materials to obtain a finished product.
Optionally, the cloud server is further configured to issue an eighth instruction to the automatic feeder when it is determined that the carrier at the fourth position is an empty carrier; the automatic feeding machine transfers the vacant carrier from the fourth position to the laser navigation vehicle according to the eighth instruction; the cloud server is further used for issuing a tenth instruction to the industrial robot when the automatic assembly equipment is determined to assemble the raw materials to obtain the finished product; the industrial robot grabs the finished product according to the tenth instruction and places the finished product on the vacant carrier on the laser navigation vehicle; the intelligent storage equipment is further used for receiving the finished product from the laser navigation vehicle according to a twelfth instruction sent by the cloud server and storing the finished product; and recovering and storing the carrier from the laser navigation vehicle according to a fourteenth instruction sent by the cloud server.
The intelligent production method comprises the following steps: the method comprises the steps that a laser navigation vehicle is used for obtaining state information of the laser navigation vehicle, and the state information is sent to a cloud server; sending a control instruction to the laser navigation vehicle by using the cloud server based on the state information, wherein the laser navigation vehicle drives to a corresponding position based on the control instruction; after the laser navigation vehicle runs to the corresponding position, the cloud server is used for controlling assembly line equipment to be butted with the laser navigation vehicle and controlling the assembly line equipment to perform corresponding operation; monitoring the assembly line equipment by using a machine vision module to obtain an image of the assembly line equipment; analyzing the image of the assembly line equipment by using a machine vision module, acquiring the operation information of the assembly line equipment, and sending the operation information to the cloud server; the cloud server is used for counting and analyzing the state information of the laser navigation vehicle and the operation information of the assembly line equipment, and transmitting the state information of the laser navigation vehicle and the operation information of the assembly line equipment to an internet billboard; and displaying the state information of the laser navigation vehicle and the operation information of the assembly line equipment on a remote login interface by using the internet billboard.
Optionally, the control instruction carries position information, and the method further includes: and the laser navigation vehicle runs to the corresponding position according to the position information.
Optionally, the method further comprises: responding to the operation of a user on the remote login interface by using the internet billboard, and issuing a corresponding instruction to the cloud server; comparing the state information of the laser navigation vehicle with preset first normal information by using the cloud server, and sending the first abnormal information to a corresponding user according to a preset first rule when the state information of the laser navigation vehicle is determined to have the first abnormal information; and comparing the operation information of the pipeline equipment with preset second normal information by using the cloud server, and sending the second abnormal information to a corresponding user according to a preset second rule when the second abnormal information exists in the operation information of the pipeline equipment.
Optionally, the method further comprises: when the cloud server determines that the laser navigation vehicle is in an idle state according to the state information of the laser navigation vehicle, sending a first instruction for acquiring a carrier to the laser navigation vehicle by using the cloud server, wherein the first instruction carries information of a first position, and the laser navigation vehicle drives to the first position according to the first instruction; when the laser navigation vehicle runs to the first position, a second instruction for transferring the carrier is sent to the intelligent warehousing equipment by using the cloud server, and the intelligent warehousing equipment transfers the carrier to the laser navigation vehicle at the first position according to the second instruction; issuing a third instruction for acquiring the raw material to the laser navigation vehicle by using the cloud server, wherein the third instruction carries information of a second position, and the laser navigation vehicle runs to the second position according to the third instruction; issuing a fourth instruction for transferring the raw materials to the intelligent storage equipment by using the cloud server, wherein the intelligent storage equipment transfers the raw materials to the carrier on the laser navigation vehicle at the second position according to the fourth instruction; issuing a fifth instruction for executing a feeding operation to the laser navigation vehicle by using the cloud server, wherein the fifth instruction carries information of a third position, and the laser navigation vehicle drives to the third position according to the fifth instruction; issuing a sixth instruction to an automatic feeder by using the cloud server, wherein the automatic feeder 53 is butted with the laser navigation vehicle at the third position according to the sixth instruction, receives the carrier bearing the raw material from the laser navigation vehicle, and transfers the carrier bearing the raw material to a fourth position; issuing a seventh instruction to an industrial robot by using the cloud server, grabbing the raw material and placing the raw material on automatic assembly equipment according to the seventh instruction by the industrial robot, positioning the raw material by the automatic assembly equipment, and assembling the raw material to obtain a finished product; when the cloud server determines that the carrier at the fourth position is an empty carrier, issuing an eighth instruction to the automatic feeding machine by using the cloud server, and transferring the empty carrier from the fourth position to the laser navigation vehicle at the third position by the automatic feeding machine according to the eighth instruction; a ninth instruction for receiving finished products is sent to the laser navigation vehicle by the cloud server, the ninth instruction carries information of the fourth position, and the laser navigation vehicle drives to the fourth position according to the ninth instruction; issuing a tenth instruction to the industrial robot by using the cloud server, and grabbing and placing the finished product onto the carrier of the laser navigation vehicle at the fourth position by the industrial robot according to the tenth instruction; the cloud server is used for issuing an eleventh instruction for storing a finished product to the laser navigation vehicle, the eleventh instruction carries information of a fifth position, and the laser navigation vehicle runs to the fifth position according to the eleventh instruction; a twelfth instruction is issued to the intelligent warehousing equipment by the cloud server, the intelligent warehousing equipment is in butt joint with the laser navigation vehicle located at the fifth position according to the twelfth instruction, the finished product is received from the laser navigation vehicle, and the received finished product is stored; when the cloud server determines that the vehicle located at the fifth position is an empty vehicle, the cloud server is used for issuing a thirteenth command for recovering the vehicle to the laser navigation vehicle, wherein the thirteenth command carries information of a sixth position, and the laser navigation vehicle 3 travels to the sixth position according to the thirteenth command; and issuing a fourteenth instruction to the intelligent warehousing equipment by using the cloud server, butting the intelligent warehousing equipment with the laser navigation vehicle positioned at the sixth position according to the fourteenth instruction, and recovering and storing the carriers from the laser navigation vehicle positioned at the sixth position.
Optionally, the counting and analyzing the state information and the job information of the pipeline device by using the cloud server includes: and generating a report of the state information and the job information by using the cloud server.
Compared with the prior art, the intelligent production method and the intelligent production system can promote the combination of a production workshop and a school, enhance the practical ability of students and realize the numerical control, networking and intellectualization of workshop production.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only the embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is an architecture diagram of an intelligent production system according to a preferred embodiment of the present application.
FIG. 2 is a flow chart of a smart production method according to a preferred embodiment of the present application.
Description of the main elements
The following detailed description will further illustrate the present application in conjunction with the above-described figures.
Detailed Description
In order that the above objects, features and advantages of the present application can be more clearly understood, a detailed description of the present application will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present application, and the described embodiments are merely a subset of the embodiments of the present application and are not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
Referring to fig. 1, fig. 1 is a diagram illustrating an architecture of an intelligent production system according to a preferred embodiment of the present application. The intelligent production system for implementing the intelligent production method is specifically described below with reference to fig. 1.
In one embodiment, the intelligent production method is applied to the intelligent production system 1, and the intelligent production system 1 comprises a cloud server 4, a laser navigation vehicle 3, a pipeline device 5, a machine vision module 6, an internet billboard 7 and a communication module 8. In one embodiment, as shown in fig. 1, the cloud server 4, the laser navigation vehicle 3, the pipeline device 5, the machine vision module 6, and the internet billboard 7 are communicatively connected through the communication module 8, where the communication module 8 may be a local area network module, an ethernet module, or a Wi-Fi module or a bluetooth module.
In one embodiment, as shown in fig. 1, the laser navigation vehicle 3 (AGV) includes a processor 30, a memory 31, where the memory 31 includes an instant positioning and Mapping (SLAM) system 32 and an automatic navigation system 33, the instant positioning and Mapping system 32 can obtain its own status information, and the processor 30 sends the status information to the cloud server 4 through the communication module 8, where the status information includes a location where the laser navigation vehicle 3 is located and surrounding environment information. The environment information includes an image of the surroundings of the laser navigation vehicle 3, and for example, the image of the surroundings may include an image of the environment in which the laser navigation vehicle 3 arrives at a predetermined position.
In one embodiment, the laser navigation vehicle 3 further has a battery installed therein, and the status information further includes idle (i.e. not applied to workshop production) time of the laser navigation vehicle 3, battery capacity of the laser navigation vehicle 3, and the like.
In one embodiment, as shown in fig. 1, the cloud server 4 includes a processor 40, a memory 41, the memory 41 including a remote control system 42 and a vehicle scheduling system 43. The remote control system 42 receives the state information sent by the laser navigation vehicle, and sends a control instruction to the laser navigation vehicle 3 according to the state information, wherein the control instruction carries position information. The vehicle dispatching system 43 is configured to analyze the control command to obtain the position information in the control command.
In one embodiment, the laser navigation vehicle 3 receives a control instruction sent by the cloud server 4, and the automatic navigation system 33 controls the laser navigation vehicle 3 to travel to a corresponding position based on position information included in the control instruction.
In one embodiment, when the laser navigation vehicle 3 travels to a corresponding position, the remote control system 42 in the cloud server 4 controls the pipeline device 5 to dock the laser navigation vehicle 3, and controls the pipeline device 5 to perform a corresponding operation.
In one embodiment, as shown in fig. 1, the assembly line equipment 5 comprises a smart storage equipment 52, an automatic feeder 53, an industrial robot 54, and an automatic assembly equipment 55. The industrial robot 54 is docked with the automatic feeder 53 and the automatic assembling device 55, respectively. The smart storage equipment 52 is used for storing raw materials 522 and carriers 521 required in the production process, and is in butt joint with the laser navigation vehicle 3 according to the instruction sent by the cloud server 4. The details of the specific interfacing will be described in detail in connection with the following flow chart.
In this embodiment, the industrial robot 54 is a robot device including a multi-joint robot or multiple degrees of freedom, and is configured to process the raw material 522 in the carrier 521 according to a command sent from the cloud server 4, for example, to grasp the raw material 522 from the carrier 521 and place the grasped raw material 522 on the automatic assembly apparatus 55. The automatic assembly device 55 is used for positioning the raw material 522 and assembling the raw material 522 to obtain a finished product. In other embodiments, the industrial robot 54 may also be used for welding, grinding, handling, palletizing, loading and unloading, spraying, boxing, and the like.
In one embodiment, as shown in fig. 1, the machine vision module 6 includes a processor 60, a memory 61, and a camera module 62, wherein the memory 61 contains an image processing system 63. The camera module 62 includes a plurality of image capturing devices, such as Charge-coupled devices (CCDs), installed in the workshop and on the pipeline apparatus 5, for monitoring the working image of the pipeline apparatus 5; the image processing system 63 processes and analyzes the work image of the pipeline apparatus 5 by using an image processing technique, obtains work information of the pipeline apparatus 5 (for example, the automatic assembly apparatus 55 assembles the raw material 522 to obtain the finished product), and sends the work information to the cloud server 4. Thus, the cloud server 4 may determine that the automatic assembly device 55 has assembled the feedstock 522 to obtain the finished product.
In one embodiment, the cloud server 4 counts and analyzes the status information of the laser navigation vehicle 3, for example, counts the battery capacity of the laser navigation vehicle 3, and analyzes whether the battery capacity of the laser navigation vehicle 3 is normal (for example, not less than 10% of the battery capacity of the laser navigation vehicle 3 is a normal battery capacity); the cloud server 4 also counts and analyzes the operation information of the pipeline equipment 5, for example, counts the number of the obtained finished products, analyzes the qualification rate of the finished products, and the like; the cloud server 4 transmits the state information of the laser navigation vehicle 3 and the operation information of the pipeline equipment 5 to the internet billboard 7 through the communication module 8.
In one embodiment, as shown in fig. 1, the internet bulletin board 7 includes a display device 70, and the internet bulletin board 7 displays the status information of the laser navigation car 3 and the operation information of the pipeline device 5 on a remote login interface on the display device 70. In one embodiment, the display device 70 may be a display device capable of performing touch operation, for example, displaying the remote login interface, or issuing a corresponding instruction to the cloud server in response to an operation of the user on the remote login interface.
In one embodiment, the cloud server 4 is further configured to, when it is determined that first abnormal information exists in the state information of the laser navigation vehicle 3 based on comparison between the state information of the laser navigation vehicle 3 and preset first normal information, send the first abnormal information to a corresponding user according to a preset first rule; and the cloud server 4 is further configured to, when the second abnormal information exists in the operation information of the pipeline device 5 based on the comparison between the operation information of the pipeline device 5 and the preset second normal information and it is determined that the second abnormal information exists in the operation information of the pipeline device 5, send the second abnormal information to a corresponding user according to a preset second rule.
In one embodiment, the first normal information includes, but is not limited to: the laser navigation vehicle 3 runs according to preset route information, the battery capacity of the laser navigation vehicle 3 is not lower than 10% of the battery capacity, no collision occurs between the laser navigation vehicle 3 and the pipeline equipment 5, and/or the position of the carrier 521 carried by the laser navigation vehicle 3 does not deviate. The first anomaly information includes, but is not limited to: the laser navigation vehicle 3 does not run according to preset route information, the battery power of the laser navigation vehicle 3 is insufficient, the laser navigation vehicle 3 collides with the pipeline equipment 5, and/or the position of the carrier 521 carried by the laser navigation vehicle 3 is deviated, and the like. The first rule may refer to: and sending the first abnormal information of the laser navigation vehicle 3 to communication equipment (such as a computer, a mobile phone and the like) of a manager of the laser navigation vehicle 3.
In one embodiment, the second normal information includes, but is not limited to: the assembly line equipment 5 has no fault, and/or the assembly line equipment 5 is successfully butted with the laser navigation vehicle 3, and the like; the second anomaly information includes, but is not limited to: equipment failure occurs in the line equipment 5 (for example, the mechanical arm of the industrial robot 54 is stuck), and/or the line equipment 5 fails to dock with the laser navigation car 3, and the like. The preset second rule comprises: and sending the second abnormal information of the pipeline device 5 to a communication device (for example, a computer, a mobile phone, etc.) of a manager of the pipeline device 5.
In some embodiments, the memory 31, the memory 41, and the memory 61 are used for storing program codes and various data, respectively. For example, as shown in fig. 1, the memory 31 may store an instant positioning and mapping system 32, an automatic navigation system 33, and the like installed in the laser navigation vehicle 3, and may also be used to store status information of the laser navigation vehicle 3, and implement high-speed and automatic access of programs or data during the operation of the laser navigation vehicle 3. The memory 41 may store a remote control system 42, a vehicle scheduling system 43, and the like installed in the cloud server 4, and implement high-speed and automatic access of programs or data during the operation of the cloud server 4. The memory 61 can store the image processing system 63 installed in the machine vision module 6, and can also be used for storing the job information of the pipeline device 5 and realizing high-speed and automatic access to programs or data during the operation of the machine vision module 6. The Memory 31, the Memory 41, and the Memory 61 include a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable rewritable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc Memory, a magnetic disk Memory, a tape Memory, or any other computer readable storage medium capable of carrying or storing data.
In some embodiments, the at least one processor 30, the processor 40, or the processor 60 may be respectively composed of an integrated circuit, for example, may be respectively composed of a single packaged integrated circuit, or may be respectively composed of a plurality of integrated circuits packaged with the same function or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips, and the like. The at least one processor 30 is a Control Unit (Control Unit) of the laser navigation vehicle 3, connects various components of the entire laser navigation vehicle 3 by using various interfaces and lines, and executes various functions and processing data of the laser navigation vehicle 3, for example, the functions of the smart product shown in fig. 2, by running or executing programs or modules stored in the memory 31 and calling data stored in the memory 31. The at least one processor 40 is a Control Unit (Control Unit) of the cloud server 4, connects various components of the entire cloud server 4 by using various interfaces and lines, and executes various functions of the cloud server 4 and processes data, for example, the functions of the smart product shown in fig. 2, by running or executing programs or modules stored in the memory 41 and calling data stored in the memory 41. The at least one processor 60 is a Control Unit (Control Unit) of the machine vision module 6, connects various components of the entire machine vision module 6 by using various interfaces and lines, executes or executes programs or modules stored in the memory 61, and calls data stored in the memory 61 to perform various functions of the machine vision module 6 and process data, for example, to perform the functions of the smart production shown in fig. 2.
Although not shown, the laser navigation vehicle 3 may further include a power supply (such as a battery) for supplying power to each component, preferably, the power supply may be logically connected to the at least one processor 30 through a power management device, so as to implement functions of managing charging, discharging, and power consumption management through the power management device, and the laser navigation vehicle 3 may further include a power supply (such as a battery) for supplying power to each component; the cloud server 4 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 40 through a power management device, so as to implement functions of managing charging, discharging, and power consumption through the power management device; the machine vision module 6 may also include a power source (e.g., a battery) for supplying power to the various components, and preferably, the power source may be logically connected to the at least one processor 60 via a power management device, such that the power management device performs functions of managing charging, discharging, and power consumption. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The laser navigation vehicle 3, the cloud server 4 and the machine vision module 6 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
In some embodiments, the instant positioning and mapping system 32, the automatic navigation system 33, the remote control system 42, the vehicle dispatching system 43, and the image processing system 63 may respectively include a plurality of functional modules composed of program code segments. Program code for various program segments within the instant positioning and mapping system 32 and the automated navigation system 33 may be stored in the memory 31 of the laser navigation cart 3 and executed by at least one processor 30 to implement the functions of obtaining the status information and controlling the laser navigation cart 3. Program codes of respective program segments of the remote control system 42 and the vehicle scheduling system 43 may be stored in the memory 41 of the cloud server 4 and executed by the at least one processor 40 to implement functions of obtaining remote control and vehicle scheduling. Program code for various program segments in the image processing system 63 may be stored in the memory 61 of the machine vision module 6 and executed by at least one processor 60 to perform the functions of obtaining the job information (described in detail in fig. 2).
It should be understood by those skilled in the art that the structure of the intelligent production system 1 shown in fig. 1 does not constitute a limitation of the embodiments of the present application, and may be a bus-type structure or a star-shaped structure, and the intelligent production system 1 may further include more or less hardware or software than those shown in the figures, or different component arrangements.
It should be noted that the intelligent production system 1 is only an example, and other existing or future electronic products or hardware devices, such as may be adapted to the present application, are also included in the protection scope of the present application and are incorporated by reference herein.
It is to be understood that the embodiments described are illustrative only and are not to be construed as limiting the scope of the claims.
The above fig. 1 describes the device architecture of the present application in detail, and the flow of the intelligent production method of the present application is described below with reference to fig. 2.
As shown in fig. 2, the intelligent production method specifically includes the following steps, and the order of the steps in the flowchart may be changed and some steps may be omitted according to different requirements.
Step S1, the laser navigation vehicle 3 acquires the state information of the laser navigation vehicle 3, and sends the state information to the cloud server 4.
Step S2, the cloud server 4 sends a control instruction to the laser navigation vehicle 3 based on the status information, the laser navigation vehicle 3 travels to a corresponding position based on the control instruction, and after the laser navigation vehicle travels to the corresponding position, the cloud server 4 controls the pipeline device 5 to butt the laser navigation vehicle 3 at the corresponding position and controls the pipeline device 5 to perform corresponding work.
In one embodiment, the control command carries position information, and the laser navigation vehicle 3 travels to a corresponding position according to the position information.
In one embodiment, the vehicle dispatching system 43 analyzes the control command to obtain the position information in the control command, and the automatic navigation system 33 controls the laser navigation vehicle 3 to travel to the corresponding position according to the position information.
As described above, the assembly line equipment 5 includes the smart stocker 52, the automatic feeder 53, the industrial robot 54, and the automatic assembly equipment 55.
In one embodiment, when the cloud server 4 determines that the laser navigation vehicle 3 is in an idle state according to the state information of the laser navigation vehicle 3, the cloud server 4 sends a first instruction for acquiring a vehicle 521 to the laser navigation vehicle 3, where the first instruction carries information of a first location, and the laser navigation vehicle 3 travels to the first location according to the first instruction.
When the laser navigation vehicle 3 travels to the first position, the cloud server 4 issues a second instruction for transferring the carrier 521 to the smart storage device 52. The smart warehousing equipment 52 transfers the carrier 521 to the laser navigation vehicle 3 located at the first position according to the second instruction. Then, the cloud server 4 gives the laser navigation car 3 the third instruction of obtaining raw materials 522, the third instruction has carried the information of second position, the laser navigation car 3 according to the third instruction is gone to the second position, the cloud server 4 then to the intelligent storage equipment 52 gives the fourth instruction of transferring raw materials 522. The intelligent warehousing equipment 52 transfers the raw material 522 to the carrier 521 on the laser navigation vehicle 3 at the second position according to the fourth instruction, and the cloud server 4 issues a fifth instruction for executing a feeding operation to the laser navigation vehicle 3, where the fifth instruction carries information of a third position; the laser navigation vehicle 3 runs to the third position according to the fifth instruction, and the cloud server 4 issues a sixth instruction to the automatic feeding machine 53; the automatic feeding machine 53 is docked with the laser navigation vehicle 3 located at the third position according to the sixth instruction, and receives the carrier 521 carrying the raw material 522 from the laser navigation vehicle 3. The automatic loader 53 transfers the carrier 521 carrying the raw material 522 to a fourth position, which is an area where the industrial robot 54 grips the raw material 522. Then, the cloud server 4 issues a seventh instruction to the industrial robot 54; the industrial robot 54 grasps the raw material 522 and places the raw material 522 on the automatic assembling device 55 according to the seventh instruction, the automatic assembling device 55 positions the raw material 522, and assembles the raw material 522 to obtain a finished product.
In one embodiment, when the cloud server 4 determines that the vehicle 521 at the fourth position is an empty vehicle, an eighth instruction is issued to the automatic loader 53; the automatic feeding machine 53 transfers the empty carrier 521 from the fourth position to the laser navigation vehicle 3 located at the third position according to the eighth instruction, the cloud server 4 issues a ninth instruction for receiving a finished product to the laser navigation vehicle 3, the ninth instruction carries information of the fourth position, the laser navigation vehicle 3 travels to the fourth position according to the ninth instruction, and the cloud server 4 issues a tenth instruction to the industrial robot 54; the industrial robot 54 grasps and places the finished product onto the carrier 521 of the laser navigation vehicle 3 located at the fourth position according to the tenth instruction. And the cloud server 4 issues an eleventh instruction for storing a finished product to the laser navigation vehicle 3, wherein the eleventh instruction carries information of a fifth position. The laser navigation vehicle 3 drives to the fifth position according to the eleventh instruction, and the cloud server 4 issues a twelfth instruction to the intelligent warehousing equipment 52; the smart storage device 52 is docked with the laser navigation vehicle 3 located at the fifth position according to the twelfth instruction, receives the finished product from the laser navigation vehicle 3, and stores the received finished product.
In one embodiment, when the cloud server 4 determines that the vehicle 521 at the fifth position is an empty vehicle, a thirteenth instruction for recovering the vehicle is issued to the laser navigation vehicle 3, where the thirteenth instruction carries information of a sixth position; the laser navigation vehicle 3 travels to the sixth position according to the thirteenth instruction, and the cloud server 4 issues a fourteenth instruction to the intelligent warehousing equipment 52; the smart warehousing equipment 52 is docked with the laser navigation vehicle 3 at the sixth position according to the fourteenth instruction, and retrieves and stores the vehicle 521 from the laser navigation vehicle 3 at the sixth position.
In this embodiment, the first position, the second position, the third position, the fourth position, the fifth position, and the sixth position are all preset by the cloud server 4 according to an application scenario.
Step S3, the machine vision module 6 monitors the pipeline device 5 to obtain an image of the pipeline device 5.
Step S4, the machine vision module 6 analyzes the image of the pipeline device 5, obtains the operation information of the pipeline device 5, and sends the operation information to the cloud server 4.
Step S5, the cloud server 4 counts and analyzes the state information of the laser navigation vehicle 3 and the operation information of the pipeline device 5, and transmits the state information of the laser navigation vehicle 3 and the operation information of the pipeline device 5 to the internet billboard 7.
In one embodiment, the cloud server 4 generates a report of the status information and the job information, and controls the display device 70 to display the report, where the report includes a histogram, a pie chart, and a table.
Step S6, the internet signboard 7 displays the status information of the laser navigation vehicle 3 and the operation information of the pipeline device 5 on a remote login interface.
In one embodiment, the internet billboard 7 may issue a corresponding instruction to the cloud server 4 in response to an operation of a user on the remote login interface; the cloud server 4 compares the state information of the laser navigation vehicle 3 with preset first normal information, and when it is determined that first abnormal information exists in the state information of the laser navigation vehicle 3, the first abnormal information is sent to a corresponding user according to a preset first rule, where the first abnormal information includes: the laser navigation vehicle 3 does not travel according to preset route information, the battery power of the laser navigation vehicle 3 is insufficient, the position of the carrier 521 carried by the laser navigation vehicle 3 is offset, and the like, wherein the preset first rule comprises: sending the first abnormal information of the laser navigation vehicle 3 to a communication device (for example, a computer, a mobile phone, etc.) of a manager of the laser navigation vehicle 3; and comparing the operation information of the pipeline equipment with preset second normal information by using the cloud server, and sending the second abnormal information to a corresponding user according to a preset second rule when the second abnormal information exists in the operation information of the pipeline equipment, wherein the second abnormal information comprises: equipment failure occurs in the line equipment 5 (for example, the mechanical arm of the industrial robot 54 is stuck), the line equipment 5 fails to interface with the laser navigation vehicle 3, and the like, and the preset second rule includes: and sending the second abnormal information of the pipeline device 5 to a communication device (for example, a computer, a mobile phone, etc.) of a manager of the pipeline device 5.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it will be obvious that the term "comprising" does not exclude other elements or the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the above preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.
Claims (10)
1. An intelligent production system, the system comprising: cloud server, laser navigation car, assembly line equipment, the machine vision module of communication connection between each other, wherein:
the laser navigation vehicle acquires state information of the laser navigation vehicle and sends the state information to the cloud server;
the cloud server sends a control instruction to the laser navigation vehicle according to the state information of the laser navigation vehicle, and the laser navigation vehicle runs to a corresponding position based on the control instruction;
the cloud server controls the assembly line equipment to be in butt joint with the laser navigation vehicle and controls the assembly line equipment to perform corresponding operation;
the machine vision module monitors the assembly line equipment to obtain an image of the assembly line equipment;
the machine vision module analyzes the image of the assembly line equipment, obtains the operation information of the assembly line equipment, and sends the operation information of the assembly line equipment to the cloud server.
2. The intelligent production system according to claim 1, wherein the status information includes a location where the laser navigation vehicle is located and environmental information of the surroundings.
3. The intelligent production system of claim 1, wherein the system further comprises an internet billboard;
the cloud server counts and analyzes the state information of the laser navigation vehicle and the operation information of the assembly line equipment, and transmits the state information of the laser navigation vehicle and the operation information of the assembly line equipment to the internet billboard;
the internet billboard displays the state information of the laser navigation vehicle and the operation information of the assembly line equipment on a remote login interface;
the internet billboard responds to the operation of a user on the remote login interface and sends a corresponding instruction to the cloud server;
based on the comparison between the state information of the laser navigation vehicle and preset first normal information, when the cloud server determines that the state information of the laser navigation vehicle has first abnormal information, the cloud server sends the first abnormal information to a corresponding user according to a preset first rule; and
based on the comparison between the operation information of the pipeline equipment and the preset second normal information, when the cloud server determines that the second abnormal information exists in the operation information of the pipeline equipment, the cloud server sends the second abnormal information to the corresponding user according to a preset second rule.
4. The intelligent production system according to claim 1, wherein the assembly line equipment comprises intelligent warehousing equipment, automatic feeders, industrial robots, automatic assembly equipment;
the intelligent storage equipment is used for storing raw materials and carriers required by the production process;
the intelligent warehousing equipment is also used for butting with the laser navigation vehicle according to a second instruction for transferring the carrier sent by the cloud server and transferring the carrier to the laser navigation vehicle;
the intelligent storage equipment is further used for transferring the raw materials to the carrier on the laser navigation vehicle according to a fourth instruction for transferring the raw materials, which is sent by the cloud server;
the automatic feeding machine is used for being in butt joint with the laser navigation vehicle according to a sixth instruction sent by the cloud server, receiving the carrier bearing the raw material from the laser navigation vehicle, and transferring the carrier bearing the raw material to a fourth position, wherein the fourth position is an area where the industrial robot grabs the raw material;
the industrial robot is used for processing the raw materials in the carrier according to a seventh instruction sent by the cloud server;
and positioning the raw materials by the automatic assembling equipment, and assembling the raw materials to obtain a finished product.
5. The intelligent production system of claim 4, wherein:
the cloud server is further used for issuing an eighth instruction to the automatic feeder when the carrier at the fourth position is determined to be an empty carrier;
the automatic feeding machine transfers the vacant carrier from the fourth position to the laser navigation vehicle according to the eighth instruction;
the cloud server is further used for issuing a tenth instruction to the industrial robot when the automatic assembling equipment is determined to assemble the raw materials to obtain the finished product;
the industrial robot grabs the finished product according to the tenth instruction and places the finished product on the vacant carrier on the laser navigation vehicle;
the intelligent storage equipment is further used for receiving the finished product from the laser navigation vehicle according to a twelfth instruction sent by the cloud server and storing the finished product; and recovering and storing the carrier from the laser navigation vehicle according to a fourteenth instruction sent by the cloud server.
6. An intelligent production method, characterized in that the method comprises:
acquiring state information of a laser navigation vehicle by using the laser navigation vehicle, and sending the state information to a cloud server;
sending a control instruction to the laser navigation vehicle by using the cloud server based on the state information, wherein the laser navigation vehicle drives to a corresponding position based on the control instruction;
after the laser navigation vehicle runs to the corresponding position, the cloud server is used for controlling assembly line equipment to be butted with the laser navigation vehicle and controlling the assembly line equipment to perform corresponding operation;
monitoring the assembly line equipment by using a machine vision module to obtain an image of the assembly line equipment;
analyzing the image of the assembly line equipment by using a machine vision module, obtaining the operation information of the assembly line equipment, and sending the operation information to the cloud server;
the cloud server is used for counting and analyzing the state information of the laser navigation vehicle and the operation information of the assembly line equipment, and transmitting the state information of the laser navigation vehicle and the operation information of the assembly line equipment to an internet billboard;
and displaying the state information of the laser navigation vehicle and the operation information of the assembly line equipment on a remote login interface by using the internet billboard.
7. The intelligent production method of claim 6, wherein the control instructions carry position information, the method further comprising: and the laser navigation vehicle drives to the corresponding position according to the position information.
8. The smart production method of claim 6, further comprising:
responding the operation of a user on the remote login interface by using the internet billboard, and issuing a corresponding instruction to the cloud server;
comparing the state information of the laser navigation vehicle with preset first normal information by using the cloud server, and sending the first abnormal information to a corresponding user according to a preset first rule when the state information of the laser navigation vehicle is determined to have the first abnormal information; and
and comparing the operation information of the assembly line equipment with preset second normal information by using the cloud server, and sending the second abnormal information to a corresponding user according to a preset second rule when the second abnormal information exists in the operation information of the assembly line equipment.
9. The smart production method of claim 6, further comprising:
when the cloud server determines that the laser navigation vehicle is in an idle state according to the state information of the laser navigation vehicle, sending a first instruction for acquiring a carrier to the laser navigation vehicle by using the cloud server, wherein the first instruction carries information of a first position, and the laser navigation vehicle drives to the first position according to the first instruction;
when the laser navigation vehicle runs to the first position, a second instruction for transferring the carrier is sent to the intelligent warehousing equipment by using the cloud server, and the intelligent warehousing equipment transfers the carrier to the laser navigation vehicle at the first position according to the second instruction;
issuing a third instruction for acquiring the raw material to the laser navigation vehicle by using the cloud server, wherein the third instruction carries information of a second position, and the laser navigation vehicle runs to the second position according to the third instruction;
issuing a fourth instruction for transferring raw materials to the intelligent warehousing equipment by using the cloud server, wherein the intelligent warehousing equipment transfers the raw materials to the carrier on the laser navigation vehicle at the second position according to the fourth instruction;
issuing a fifth instruction for executing a feeding operation to the laser navigation vehicle by using the cloud server, wherein the fifth instruction carries information of a third position, and the laser navigation vehicle drives to the third position according to the fifth instruction;
issuing a sixth instruction to an automatic feeding machine by using the cloud server, wherein the automatic feeding machine is in butt joint with the laser navigation vehicle at the third position according to the sixth instruction, receives the carrier bearing the raw material from the laser navigation vehicle, and transfers the carrier bearing the raw material to a fourth position;
issuing a seventh instruction to an industrial robot by using the cloud server, grabbing the raw material and placing the raw material on automatic assembly equipment according to the seventh instruction by the industrial robot, positioning the raw material by the automatic assembly equipment, and assembling the raw material to obtain a finished product;
when the cloud server determines that the carrier at the fourth position is an empty carrier, issuing an eighth instruction to the automatic feeding machine by using the cloud server, and transferring the empty carrier from the fourth position to the laser navigation vehicle at the third position by the automatic feeding machine according to the eighth instruction;
a ninth instruction for receiving finished products is sent to the laser navigation vehicle by the cloud server, the ninth instruction carries information of the fourth position, and the laser navigation vehicle drives to the fourth position according to the ninth instruction;
issuing a tenth instruction to the industrial robot by using the cloud server, and grabbing and placing the finished product onto the carrier of the laser navigation vehicle at the fourth position by the industrial robot according to the tenth instruction;
the cloud server is used for issuing an eleventh instruction for storing a finished product to the laser navigation vehicle, the eleventh instruction carries information of a fifth position, and the laser navigation vehicle runs to the fifth position according to the eleventh instruction;
a twelfth instruction is issued to the intelligent warehousing equipment by the cloud server, the intelligent warehousing equipment is in butt joint with the laser navigation vehicle located at the fifth position according to the twelfth instruction, the finished product is received from the laser navigation vehicle, and the received finished product is stored;
when the cloud server determines that the vehicle located at the fifth position is an empty vehicle, a thirteenth instruction for recovering the vehicle is issued to the laser navigation vehicle by using the cloud server, the thirteenth instruction carries information of a sixth position, and the laser navigation vehicle travels to the sixth position according to the thirteenth instruction;
and issuing a fourteenth instruction to the intelligent warehousing equipment by using the cloud server, butting the intelligent warehousing equipment with the laser navigation vehicle positioned at the sixth position according to the fourteenth instruction, and recovering and storing the carriers from the laser navigation vehicle positioned at the sixth position.
10. The smart production method of claim 6, wherein the counting and analyzing the state information and the job information of the pipeline equipment by using the cloud server comprises:
and generating a report of the state information and the job information by using the cloud server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110322405.7A CN115129000A (en) | 2021-03-25 | 2021-03-25 | Intelligent production method and intelligent production system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110322405.7A CN115129000A (en) | 2021-03-25 | 2021-03-25 | Intelligent production method and intelligent production system |
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| CN115129000A true CN115129000A (en) | 2022-09-30 |
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