CN112987629A - Remote electrical digital control system and method for high-speed intelligent laser cutting machine - Google Patents
Remote electrical digital control system and method for high-speed intelligent laser cutting machine Download PDFInfo
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- CN112987629A CN112987629A CN202110526504.7A CN202110526504A CN112987629A CN 112987629 A CN112987629 A CN 112987629A CN 202110526504 A CN202110526504 A CN 202110526504A CN 112987629 A CN112987629 A CN 112987629A
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- 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
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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- G—PHYSICS
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Abstract
The invention relates to a remote electrical digital control system and method for a high-speed intelligent laser cutting machine, wherein the system comprises a communication gateway, a field data acquisition terminal, a field monitoring terminal and a remote control server, the communication gateway, the field data acquisition terminal and the field monitoring terminal are all positioned on the laser cutting machine, the field data acquisition terminal is respectively connected with a power driving mechanism and a moving part of each laser cutting machine of the field data acquisition terminal, the field data acquisition terminal and the field monitoring terminal are in data connection with the communication gateway, and the control method comprises three steps of equipment assembly, monitoring operation and remote control. The invention can effectively realize synchronous control of a plurality of laser cutting devices at the same time, thereby improving the precision and efficiency of subsequent processing and assembly operation of workpieces; the invention can realize the simulation and prejudgment of the operation precision of the laser cutting equipment and achieve the aim of improving the processing precision, the operation stability and the reliability of the laser cutting equipment.
Description
Technical Field
The invention relates to a remote electrical digital control system and method for a high-speed intelligent laser cutting machine, and belongs to the technical field of intelligent processing equipment.
Background
At present, with the continuous improvement of the requirements on the working efficiency and precision of mechanical cutting and machining operation, laser cutting equipment is widely applied, but in practical use, the control systems of the current laser cutting equipment often run independently from each other when running, so that the requirements on cutting operation and control operation can be met, on one hand, the running efficiency of the control systems and the control capability on the machining precision are relatively low, and the requirements on the cooperative running among a plurality of laser cutting equipment in effective time cannot be met, so that the precision of subsequent machining and assembly operation is easily influenced due to different cutting errors among a plurality of parts of the same workpiece; on the other hand, when the current laser cutting equipment control system is in operation, the operation error of the laser cutting equipment and the development and change rule of the subsequent processing error cannot be automatically and efficiently predicted, so that the operation accuracy, the operation stability and the operation reliability of the current laser cutting equipment are greatly insufficient.
Therefore, in order to solve the problem, a brand-new remote electrical digital control system and method for a high-speed intelligent laser cutting machine are urgently needed to be developed so as to meet the requirement of practical use.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a remote electrical digital control system and method for a high-speed intelligent laser cutting machine, which can effectively improve the control operation efficiency of laser cutting equipment and can realize the cooperative operation of a plurality of laser cutting devices; the simulation and prejudgment of the operation precision of the laser cutting equipment can be realized, and the purposes of improving the processing precision, the operation stability and the reliability of the laser cutting equipment are achieved.
A remote electrical digital control system of a high-speed intelligent laser cutting machine comprises a communication gateway, a field data acquisition terminal, a field monitoring terminal and a remote control server, wherein the communication gateway, the field data acquisition terminal and the field monitoring terminal are all positioned on the laser cutting machine and are electrically connected with a main power circuit of the laser cutting machine, the field monitoring terminal is electrically connected with the field data acquisition terminal and a main control circuit of the laser cutting machine, the field data acquisition terminal is respectively connected with each laser cutting machine power driving mechanism and a moving part of the field data acquisition terminal, the field data acquisition terminal and the field monitoring terminal are in data connection with the communication gateway, and the communication gateway is in data connection with the remote control server through a communication network.
Furthermore, the remote control server adopts a main program system based on an SOA system, a nested BP neural network system adopting a C/S structure and a B/S structure and a deep learning neural network system of an intelligent prediction system based on an LSTM and running in cooperation with the BP neural network system are simultaneously arranged, wherein the deep learning neural network system of the intelligent prediction system based on the LSTM is connected with the BP neural network system in parallel, the input end of the deep learning neural network system of the intelligent prediction system based on the LSTM is communicated with the output end of the BP neural network system, and the output end of the deep learning neural network system is connected with the BP neural network system through a CNN convolutional neural network system.
Furthermore, the on-site monitoring terminal comprises a bearing shell, an insulating supporting plate, a semiconductor refrigeration mechanism, a central processing circuit, a driving circuit, a voltage-stabilized power supply, a crystal oscillator circuit, a data communication bus, an I/O communication port, a wiring terminal and a serial port communication port, wherein the bearing shell is of a closed cavity structure with a rectangular cross section, at least two connecting chutes are arranged on the outer surface of the bearing shell and are symmetrically distributed along the axis of the bearing shell, the insulating supporting plate is embedded in the bearing shell and is coaxially distributed with the bearing shell, the bearing shell is divided into an operation cavity and a heat dissipation cavity by the insulating supporting plate from top to bottom, the bearing shell corresponding to the heat dissipation cavity is provided with a heat dissipation port, the semiconductor refrigeration mechanism is embedded in the heat dissipation port, the refrigeration end of the semiconductor refrigeration mechanism is positioned in the heat dissipation cavity and is electrically connected with the driving circuit, and the central processing circuit, the constant voltage power supply, the crystal oscillator circuit and the data communication bus are located in the control cavity and connected with the upper end face of the insulating supporting plate, the central processing circuit is electrically connected with the driving circuit, the crystal oscillator circuit and the data communication bus respectively, the data communication bus is electrically connected with the driving circuit, the crystal oscillator circuit, the I/O communication port, the wiring terminal and the serial communication port respectively, the driving circuit is electrically connected with the constant voltage power supply, the crystal oscillator circuit, the data communication bus, the I/O communication port, the wiring terminal and the serial communication port respectively, and at least one of the I/O communication port, the wiring terminal and the serial communication port is embedded in the outer surface of the bearing shell.
Furthermore, the central processing circuit is a circuit system based on any one of an FPGA chip, a DSP chip and a PIC chip; the driving circuit is an MOS driving circuit system.
Furthermore, the field data acquisition terminal comprises a grating encoder, a grating scale, a temperature sensor, a CCD camera, a far infrared non-contact temperature measurement mechanism and a main control mechanism, wherein the grating encoder and the temperature sensor form a plurality of motor detection groups, the number of the motor detection groups is consistent with that of each driving motor of the laser cutting machine, each motor detection group comprises a grating encoder and a plurality of temperature sensors, the grating encoder in the same detection group is connected with the main shaft of the driving motor of the laser cutting machine and coaxially distributed, the temperature sensor is embedded in the inner surface of the driving motor shell, the grating scale is connected with each telescopic arm of the laser cutting machine, each telescopic arm of each laser cutting machine is provided with at least one grating scale, the CCD camera and the far infrared non-contact temperature measurement mechanism are at least one, and one CCD camera and one far infrared non-contact temperature measurement mechanism form a far infrared operation surface monitoring group, at least two of operation face control group encircle laser cutting machine main shaft equipartition, and wherein at least one operation face control group is articulated through revolving stage mechanism and laser cutting machine cutting head lateral surface, and at least one operation face control group is articulated through revolving stage mechanism and laser cutting machine workstation side surface in addition, and each operation face control group optical axis intersects with laser cutting machine laser beam, and the nodical position in laser cutting machine workstation up end and laser cutting machine laser head between the position, grating encoder, grating scale, temperature sensor, CCD camera, far infrared non-contact temperature measurement mechanism all are connected with main control mechanism, just main control mechanism is connected with communication gateway, on-the-spot monitor terminal in addition.
Further, the main control mechanism including bear the weight of the chamber, based on FPGA chip's main control circuit board, multichannel constant voltage power supply circuit board, data communication circuit board and binding post, bear the weight of the chamber and be closed cavity structure, based on FPGA chip's main control circuit board, multichannel constant voltage power supply circuit board, data communication circuit board all inlay in bearing the weight of the intracavity, and based on FPGA chip's main control circuit board respectively with multichannel constant voltage power supply circuit board, data communication circuit board electrical connection, just multichannel constant voltage power supply circuit board, data communication circuit board all with binding post electrical connection.
A control method of a remote electrical digital control system of a high-speed intelligent laser cutting machine comprises the following steps:
s1, assembling equipment, namely, firstly, arranging a remote control server outside the laser cutting machine, then respectively assembling a communication gateway, a field data acquisition terminal and a field monitoring terminal for each laser cutting machine to be monitored, establishing data connection between the communication gateways on the laser cutting machines and the remote control server through a communication network, and respectively allocating independent data communication addresses for the communication gateways of the laser cutting machines by the remote control server, so that the assembly of the invention can be completed;
s2, monitoring operation, after the step S1 is completed, synchronously driving the field data acquisition terminal and the field monitoring terminal to operate when the laser cutting machine operates, on one hand, detecting the operation state and the control precision of each motion driving motor of the laser cutting machine, detecting the stroke displacement and the control precision of each telescopic driving mechanism of the laser cutting machine, detecting the inclined offset motion displacement of each motion component of the laser cutting machine, and detecting the laser beam state of a cutting operation surface, a cutting operation surface thermometer and a cutting operation surface slot of the laser cutting machine by driving the field data acquisition terminal, thereby realizing the synchronous detection operation of a mechanical system of the laser cutting equipment; on the other hand, the field monitoring terminal monitors a control program of the laser cutting machine during operation, actual operation state parameters of all parts of the laser cutting machine acquired by the field monitoring terminal are compared with the control program parameters of the laser cutting machine during operation, so that errors between the actual operation of the laser cutting machine and the design parameters of the machining process can be obtained, and the obtained errors and data acquired during the operation of the driving field data acquisition terminal and the field monitoring terminal are sent to the remote control server;
s3, remotely controlling, wherein after the remote control server receives the data fed back in the step S2, on one hand, the remote control server corrects the parameters of the cutting control program according to the received operation error of the laser cutting equipment; on the other hand, the deep learning neural network system of the intelligent prediction system based on the LSTM and operated in cooperation with the BP neural network system carries out simulation learning according to the data collected in the step S2, on the one hand, the error existing in the current laser cutting machine is counted, and the error compensation is carried out when the subsequent laser cutting machine equipment carries out cutting control program assembly; and on the other hand, analyzing and summarizing the error change rule of the current laser cutting machine to obtain the error change rule of the current laser cutting machine equipment, and generating a maintenance plan and a fault early warning system of the laser cutting equipment according to the error change rule of the current laser cutting machine equipment.
Further, in step S3, when the remote control server remotely controls the multiple laser cutting machines to simultaneously process multiple parts of the same workpiece, the remote control server simultaneously calculates the processing accuracy and error of the machining operation, calculates and corrects the operation accuracy parameter of each laser processing device according to the error synchronization of each laser cutting device, generates a closed-loop parameter chain of the current workpiece, and synchronously coordinates the processing parameters and processing accuracy of each laser cutting device according to the closed-loop parameter chain.
Compared with the traditional laser cutting machine control system, the system can effectively realize synchronous control on a plurality of laser cutting devices simultaneously, can realize the cooperative operation of a plurality of laser cutting devices while effectively improving the control operation efficiency of the laser cutting devices, thereby meeting the consistency of the processing precision when a plurality of parts of the same workpiece are synchronously processed, and improving the precision and efficiency of the subsequent processing and assembly operation of the workpiece; the method can realize the high-efficiency monitoring operation of the processing precision of the laser cutting equipment, and meanwhile, corrects the cutting control program parameters according to the received operation error of the laser cutting equipment; carrying out simulation learning through the BP neural network system and the BP neural network system in a cooperative operation manner, counting errors existing in the current laser cutting machine, and carrying out error compensation when a subsequent laser cutting machine device carries out cutting control program compilation; the method comprises the steps of analyzing and summarizing the current error change rule of the laser cutting machine, obtaining the current error change rule of the laser cutting machine, generating a maintenance plan and a fault early warning system of the laser cutting machine according to the current error change rule of the laser cutting machine, and achieving the purpose of improving the processing precision, the operation stability and the reliability of the laser cutting machine.
Drawings
The invention is described in detail below with reference to the drawings and the detailed description;
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a remote control server system;
FIG. 3 is a schematic structural diagram of an on-site monitoring terminal;
FIG. 4 is a schematic diagram of an on-site monitoring terminal system;
FIG. 5 is a schematic structural diagram of a field data acquisition terminal;
FIG. 6 is a schematic circuit diagram of the master control mechanism;
FIG. 7 is a flow chart illustrating a control method according to the present invention.
The reference numbers in the figures: the system comprises a communication gateway 1, a field data acquisition terminal 2, a field monitoring terminal 3, a remote control server 4, a wiring terminal 30, a bearing shell 31, an insulating supporting plate 32, a semiconductor refrigerating mechanism 33, a connecting chute 34, a control cavity 35, a heat dissipation cavity 36, a heat dissipation port 37, a serial port communication port 38, an I/O communication port 39, a grating encoder 21, a grating scale 22, a temperature sensor 23, a CCD camera 24, a far infrared non-contact temperature measuring mechanism 25, a main control mechanism 26, a turntable mechanism 27 and a bearing cavity 261.
Detailed Description
In order to facilitate the implementation of the technical means, creation features, achievement of the purpose and the efficacy of the invention, the invention is further described below with reference to specific embodiments.
Referring to fig. 1, the remote electrical digital control system of the high-speed intelligent laser cutting machine comprises a communication gateway 1, a field data acquisition terminal 2, a field monitoring terminal 3 and a remote control server 4, wherein the communication gateway 1, the field data acquisition terminal 2 and the field monitoring terminal 3 are all located on the laser cutting machine and are electrically connected with a main power circuit of the laser cutting machine, the field monitoring terminal 3 is electrically connected with the field data acquisition terminal 2 and a main control circuit of the laser cutting machine, the field data acquisition terminal 2 is respectively connected with each laser cutting machine power driving mechanism and a moving part of the field data acquisition terminal 2, the field data acquisition terminal 2 and the field monitoring terminal 3 are both in data connection with the communication gateway 1, and the communication gateway 1 is in data connection with the remote control server 4 through a communication network.
Referring to fig. 2, the remote control server 4 adopts a main program system based on an SOA system, and simultaneously sets a nested BP neural network system adopting a C/S structure and a B/S structure, and a deep learning neural network system of an LSTM-based intelligent prediction system cooperatively operating with the BP neural network system, wherein the deep learning neural network system of the LSTM-based intelligent prediction system is connected in parallel with the BP neural network system, an input end of the deep learning neural network system of the LSTM-based intelligent prediction system is communicated with an output end of the BP neural network system, and an output end of the deep learning neural network system is connected with the BP neural network system through a CNN convolutional neural network system.
Referring to fig. 3 and 4, the on-site monitoring terminal 3 includes a bearing shell 31, an insulating support plate 32, a semiconductor refrigeration mechanism 33, a central processing circuit, a driving circuit, a voltage-stabilized power supply, a crystal oscillator circuit, a data communication bus, an I/O communication port 39, a connection terminal 30 and a serial port communication port 38, wherein the bearing shell 31 is a closed cavity structure with a rectangular cross section, at least two connection chutes 34 are formed on the outer surface of the bearing shell 31, the connection chutes 34 are symmetrically distributed along the axis of the bearing shell 31, the insulating support plate 32 is embedded in the bearing shell 31 and coaxially distributed with the bearing shell 31, the bearing shell 31 is divided into an operation cavity 35 and a heat dissipation cavity 36 by the insulating support plate 32 from top to bottom, a heat dissipation port 37 is formed on the bearing shell 31 corresponding to the heat dissipation cavity 36, the semiconductor refrigeration mechanism 33 is embedded in the heat dissipation port 37, and the refrigeration end of the semiconductor refrigeration mechanism 33 is located in the heat dissipation cavity 36, the central processing circuit, the driving circuit, the stabilized voltage power supply, the crystal oscillator circuit and the data communication bus are all located in the control cavity 35 and connected with the upper end face of the insulating supporting plate 32, wherein the central processing circuit is respectively electrically connected with the driving circuit, the crystal oscillator circuit and the data communication bus, the data communication bus is respectively electrically connected with the driving circuit, the crystal oscillator circuit, the I/O communication port 39, the wiring terminal 30 and the serial communication port 38, the driving circuit is respectively electrically connected with the stabilized voltage power supply, the crystal oscillator circuit, the data communication bus, the I/O communication port 39, the wiring terminal 30 and the serial communication port 38, and at least one of the I/O communication port 39, the wiring terminal 30 and the serial communication port 38 is embedded in the outer surface of the bearing shell 31. In this embodiment, the central processing circuit is a circuit system based on any one of an FPGA chip, a DSP chip, and a PIC chip; the driving circuit is an MOS driving circuit system.
Referring to fig. 5, the field data collecting terminal 2 includes a grating encoder 21, a grating scale 22, a temperature sensor 23, a CCD camera 24, a far infrared non-contact temperature measuring mechanism 25 and a main control mechanism 26, wherein the grating encoder 21 and the temperature sensor 23 constitute a plurality of motor detection groups, the number of the motor detection groups is the same as the number of each driving motor of the laser cutting machine, each motor detection group includes a grating encoder 21 and a plurality of temperature sensors 23, the grating encoder 21 in the same detection group is connected with the main shaft of the driving motor of the laser cutting machine and coaxially distributed, the temperature sensor 23 is embedded in the inner surface of the casing of the driving motor, the grating scale 22 is connected with each telescopic arm of the laser cutting machine, at least one grating scale 22 is arranged on each telescopic arm of the laser cutting machine, at least one CCD camera 24 and at least one far infrared non-contact temperature measuring mechanism 25, and a CCD camera 24 and a far infrared non-contact temperature measuring mechanism 25 constitute an operation face control group, operation face control group is two at least, encircle laser cutting machine main shaft equipartition, and wherein at least one operation face control group is articulated through revolving stage mechanism 27 and laser cutting machine cutting head lateral surface, and at least one operation face control group is articulated through revolving stage mechanism 27 and laser cutting machine workstation side surface in addition, and each operation face control group optical axis intersects with laser cutting machine laser beam, and the nodical position is located position between laser cutting machine workstation up end and the laser cutting machine laser head, grating encoder 21, grating scale 22, temperature sensor 23, CCD camera 24, far infrared non-contact temperature measuring mechanism 25 all are connected with master control mechanism 26, just master control mechanism 26 is connected with communication gateway 1, on-the-spot monitor terminal 3 in addition.
Referring to fig. 6, the main control mechanism 26 includes a bearing cavity 261, a main control circuit board based on the FPGA chip, a multi-path voltage-stabilized power supply circuit board, a data communication circuit board and a wiring terminal 30, the bearing cavity 261 is a closed cavity structure, the main control circuit board based on the FPGA chip, the multi-path voltage-stabilized power supply circuit board and the data communication circuit board are all embedded in the bearing cavity 261, the main control circuit board based on the FPGA chip is electrically connected with the multi-path voltage-stabilized power supply circuit board and the data communication circuit board respectively, and the multi-path voltage-stabilized power supply circuit board and the data communication circuit board.
Referring to fig. 7, a control method of a remote electrical digital control system of a high-speed intelligent laser cutting machine includes the following steps:
s1, assembling equipment, namely, firstly, arranging a remote control server 4 outside the laser cutting machine, then respectively assembling a communication gateway 1, a field data acquisition terminal 2 and a field monitoring terminal 3 on each laser cutting machine to be monitored, establishing data connection between the communication gateways 1 on the laser cutting machines and the remote control server 4 through a communication network, and respectively distributing independent data communication addresses to the communication gateways 1 of the laser cutting machines by the remote control server 4, so that the assembling of the invention can be completed;
s2, monitoring operation, after the step S1 is completed, synchronously driving the field data acquisition terminal 2 and the field monitoring terminal 3 to operate when the laser cutting machine operates, on one hand, detecting the operation state and the control precision of each motion driving motor of the laser cutting machine, detecting the stroke displacement and the control precision of each telescopic driving mechanism of the laser cutting machine, detecting the inclined offset motion displacement of each motion component of the laser cutting machine, and detecting the laser beam state of a cutting operation surface, a cutting operation surface thermometer and a cutting operation surface slot of the laser cutting machine by driving the field data acquisition terminal 2, thereby realizing the synchronous detection operation of a mechanical system of the laser cutting equipment; on the other hand, the field monitoring terminal 3 monitors a control program when the laser cutting machine operates, actual operation state parameters of all parts of the laser cutting machine, which are acquired by the field monitoring terminal 3, are compared with control program parameters when the laser cutting machine operates, so that errors between the actual operation of the laser cutting machine and the design parameters of the machining process can be obtained, and the obtained errors and data acquired when the drive field data acquisition terminal 2 and the field monitoring terminal 3 operate are sent to the remote control server 4 together;
s3, remotely controlling, wherein after the remote control server 4 receives the data fed back in the step S2, on one hand, the parameters of the cutting control program are corrected according to the received running error of the laser cutting equipment; on the other hand, the deep learning neural network system of the intelligent prediction system based on the LSTM and operated in cooperation with the BP neural network system carries out simulation learning according to the data collected in the step S2, on the one hand, the error existing in the current laser cutting machine is counted, and the error compensation is carried out when the subsequent laser cutting machine equipment carries out cutting control program assembly; and on the other hand, analyzing and summarizing the error change rule of the current laser cutting machine to obtain the error change rule of the current laser cutting machine equipment, and generating a maintenance plan and a fault early warning system of the laser cutting equipment according to the error change rule of the current laser cutting machine equipment.
Further, in step S3, when the remote control server 4 remotely controls the plurality of laser cutting machines to simultaneously process a plurality of parts of the same workpiece, the processing accuracy and error of each laser cutting machine involved in the machining operation are calculated, the operation accuracy parameter of each laser processing machine is calculated and corrected according to the error synchronization of each laser cutting machine, a closed-loop parameter chain of the current workpiece to be processed is generated, and the processing parameters and processing accuracy of each laser cutting machine are synchronously coordinated according to the closed-loop parameter chain.
Compared with the traditional laser cutting machine control system, on one hand, the synchronous control of a plurality of laser cutting devices can be effectively realized, the control operation efficiency of the laser cutting devices is effectively improved, and simultaneously, the cooperative operation of the plurality of laser cutting devices can be realized, so that the consistency of the processing precision during the synchronous processing of a plurality of parts of the same workpiece is met, and the precision and the efficiency of the subsequent processing and assembly operation of the workpiece are improved; on the other hand, the high-efficiency monitoring operation of the machining precision of the laser cutting equipment can be realized, the simulation and the prejudgment of the operation precision of the laser cutting equipment can be realized, the cutting parameters can be timely adjusted according to the operation precision of the laser cutting equipment, the fault of the laser cutting equipment can be prejudged, and the purposes of improving the machining precision, the operation stability and the reliability of the laser cutting equipment are achieved.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The utility model provides a high-speed intelligent laser cutting machine remote electrical digital control system which characterized in that: the remote electrical digital control system of the high-speed intelligent laser cutting machine comprises a communication gateway (1), a field data acquisition terminal (2), a field monitoring terminal (3) and a remote control server (4), wherein the communication gateway (1), the field data acquisition terminal (2) and the field monitoring terminal (3) are all positioned on the laser cutting machine and are electrically connected with a main power circuit of the laser cutting machine, wherein the field monitoring terminal (3) is electrically connected with the field data acquisition terminal (2) and the laser cutting machine main control circuit, the field data acquisition terminal (2) is respectively connected with the power driving mechanism and the moving part of each laser cutting machine of the field data acquisition terminal (2), the field data acquisition terminal (2) and the field monitoring terminal (3) are in data connection with the communication gateway (1), and the communication gateway (1) establishes data connection with the remote control server (4) through a communication network.
2. The remote electrical digital control system of the high-speed intelligent laser cutting machine according to claim 1, characterized in that: the remote control server (4) adopts a main program system based on an SOA system, a nested architecture BP neural network system adopting a C/S structure and a B/S structure and a deep learning neural network system of an intelligent prediction system based on an LSTM and running in cooperation with the BP neural network system, wherein the deep learning neural network system of the intelligent prediction system based on the LSTM is connected with the BP neural network system in parallel, the input end of the deep learning neural network system of the intelligent prediction system based on the LSTM is communicated with the output end of the BP neural network system, and the output end of the deep learning neural network system is in data connection with the BP neural network system through a CNN convolutional neural network system.
3. The remote electrical digital control system of the high-speed intelligent laser cutting machine according to claim 1, characterized in that: the on-site monitoring terminal (3) comprises a bearing shell (31), an insulating supporting plate (32), a semiconductor refrigerating mechanism (33), a central processing circuit, a driving circuit, a voltage-stabilized power supply, a crystal oscillator circuit, a data communication bus, an I/O communication port (39), a wiring terminal (30) and a serial port communication port (38), wherein the bearing shell (31) is a closed cavity structure with a rectangular cross section, at least two connecting sliding grooves (34) are formed in the outer surface of the bearing shell, the connecting sliding grooves (34) are symmetrically distributed along the axis of the bearing shell (31), the insulating supporting plate (32) is embedded in the bearing shell (31) and is coaxially distributed with the bearing shell (31), the bearing shell (31) is divided into a control cavity (35) and a heat dissipation cavity (36) by the insulating supporting plate (32) from top to bottom, a heat dissipation port (37) is formed in the bearing shell (31) corresponding to the heat dissipation cavity (36), the semiconductor refrigeration mechanism (33) is embedded in the heat dissipation port (37), the refrigeration end of the semiconductor refrigeration mechanism (33) is positioned in the heat dissipation cavity (36) and is electrically connected with the drive circuit, the central processing circuit, the drive circuit, the stabilized voltage power supply, the crystal oscillator circuit and the data communication bus are positioned in the control cavity (35) and are connected with the upper end face of the insulating supporting plate (32), the central processing circuit is respectively and electrically connected with the drive circuit, the crystal oscillator circuit and the data communication bus, the data communication bus is respectively and electrically connected with the drive circuit, the crystal oscillator circuit, the I/O communication port (39), the wiring terminal (30) and the serial communication port (38), the drive circuit is respectively and electrically connected with the stabilized voltage power supply, the crystal oscillator circuit, the data communication bus, the I/O communication port (39), the wiring terminal (30) and the serial communication port (38), and the I/O communication port (39), the wiring terminal (30) and the serial port communication port (38) are all at least one and are embedded in the outer surface of the bearing shell (31).
4. The remote electrical digital control system of the high-speed intelligent laser cutting machine according to claim 3, characterized in that: the central processing circuit is a circuit system based on any one of an FPGA chip, a DSP chip and a PIC chip; the driving circuit is an MOS driving circuit system.
5. The remote electrical digital control system of the high-speed intelligent laser cutting machine according to claim 1, characterized in that: the field data acquisition terminal (2) comprises a grating encoder (21), grating scales (22), temperature sensors (23), a CCD camera (24), a far infrared non-contact temperature measurement mechanism (25) and a main control mechanism (26), wherein the grating encoder (21) and the temperature sensors (23) form a plurality of motor detection groups, the number of the motor detection groups is consistent with that of each driving motor of the laser cutting machine, each motor detection group comprises one grating encoder (21) and a plurality of temperature sensors (23), the grating encoders (21) in the same detection group are connected with the main shafts of the driving motors of the laser cutting machine and coaxially distributed, the temperature sensors (23) are embedded in the inner surface of the motor shell of the laser cutting machine, the grating scales (22) are connected with the telescopic arms of the laser cutting machine, and each telescopic arm of each laser cutting machine is provided with at least one grating scale (22), the CCD camera (24) and the far infrared non-contact temperature measuring mechanism (25) are at least one, one CCD camera (24) and one far infrared non-contact temperature measuring mechanism (25) form an operation surface monitoring group, at least two operation surface monitoring groups are uniformly distributed around a main shaft of the laser cutting machine, at least one operation surface monitoring group is hinged with the outer side surface of a cutting head of the laser cutting machine through a turntable mechanism (27), at least one operation surface monitoring group is hinged with the side surface of the working table of the laser cutting machine through the turntable mechanism (27), the optical axis of each operation surface monitoring group is intersected with the laser beam of the laser cutting machine, the intersection point is positioned between the upper end surface of the working table of the laser cutting machine and the laser head of the laser cutting machine, and the grating encoder (21), the grating scale (22), the temperature sensor (23), the CCD camera (24) and the far infrared non-contact temperature measuring mechanism (25) are all connected with a main, and the main control mechanism (26) is connected with the communication gateway (1) and the field monitoring terminal (3).
6. The remote electrical digital control system of the high-speed intelligent laser cutting machine according to claim 5, characterized in that: main control mechanism (26) including bearing chamber (261), master control circuit board, multichannel constant voltage power supply circuit board, data communication circuit board and binding post (30) based on the FPGA chip, bearing chamber (261) are closed cavity structure, master control circuit board, multichannel constant voltage power supply circuit board, data communication circuit board based on the FPGA chip all inlay in bearing chamber (261), and just master control circuit board based on the FPGA chip respectively with multichannel constant voltage power supply circuit board, data communication circuit board electrical connection, just multichannel constant voltage power supply circuit board, data communication circuit board all with binding post (30) electrical connection.
7. A control method of a remote electrical digital control system of a high-speed intelligent laser cutting machine is characterized by comprising the following steps:
s1, assembling equipment, namely, firstly, arranging a remote control server (4) outside the laser cutting machine, then respectively assembling a communication gateway (1), a field data acquisition terminal (2) and a field monitoring terminal (3) on each laser cutting machine to be monitored, establishing data connection between the communication gateways (1) on the laser cutting machines and the remote control server (4) through a communication network, and respectively allocating independent data communication addresses to the communication gateways (1) of the laser cutting machines by the remote control server (4), so that the assembly of the invention can be completed;
s2, monitoring operation, after the step S1 is completed, synchronously driving the field data acquisition terminal (2) and the field monitoring terminal (3) to operate when the laser cutting machine operates, on one hand, detecting the operation state and the control precision of each motion driving motor of the laser cutting machine, detecting the stroke displacement and the control precision of each telescopic driving mechanism of the laser cutting machine, detecting the inclined offset motion displacement of each motion component of the laser cutting machine, and detecting the laser beam state of a cutting operation surface, a cutting operation surface thermometer and a cutting operation surface slot of the laser cutting machine by driving the field data acquisition terminal (2), so that the synchronous detection operation of a mechanical system of the laser cutting equipment is realized; on the other hand, the field monitoring terminal (3) monitors a control program when the laser cutting machine operates, actual operation state parameters of all parts of the laser cutting machine, which are acquired by the field monitoring terminal (3), are compared with control program parameters when the laser cutting machine operates, so that errors between the actual operation of the laser cutting machine and the design parameters of the machining process can be obtained, and the obtained errors and data acquired when the field data acquisition terminal (2) and the field monitoring terminal (3) are driven to operate are sent to the remote control server (4) together;
s3, remotely controlling, wherein after the remote control server (4) receives the data fed back in the step S2, on one hand, parameters of a cutting control program are corrected according to the received running error of the laser cutting equipment; on the other hand, the deep learning neural network system of the intelligent prediction system based on the LSTM and operated in cooperation with the BP neural network system carries out simulation learning according to the data collected in the step S2, on the one hand, the error existing in the current laser cutting machine is counted, and the error compensation is carried out when the subsequent laser cutting machine equipment carries out cutting control program assembly; and on the other hand, analyzing and summarizing the error change rule of the current laser cutting machine to obtain the error change rule of the current laser cutting machine equipment, and generating a maintenance plan and a fault early warning system of the laser cutting equipment according to the error change rule of the current laser cutting machine equipment.
8. The control method of the remote electrical digital control system of the high-speed intelligent laser cutting machine according to claim 7, characterized in that: and in the step S3, when the remote control server (4) remotely controls a plurality of laser cutting machines to simultaneously process a plurality of parts of the same workpiece, the remote control server simultaneously calculates each processing precision and error participating in the machining operation, calculates and corrects the operation precision parameter of each laser processing device according to the error synchronization of each laser cutting device, generates a closed-loop parameter chain of the current processed workpiece, and synchronously coordinates the processing parameters and the processing precision of each laser cutting device according to the closed-loop parameter chain.
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