CN110109420B - Cloud intelligence processing equipment - Google Patents
Cloud intelligence processing equipment Download PDFInfo
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- CN110109420B CN110109420B CN201910235628.2A CN201910235628A CN110109420B CN 110109420 B CN110109420 B CN 110109420B CN 201910235628 A CN201910235628 A CN 201910235628A CN 110109420 B CN110109420 B CN 110109420B
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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
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
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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
- G05B2219/45—Nc applications
- G05B2219/45103—Security, surveillance applications
Abstract
The invention discloses cloud intelligent processing equipment which at least comprises an equipment body, a monitoring system, a communication system and a control system, wherein the control system is at least used for: implementing instruction control on the machine body, so that the machine body is at least used for executing production and processing operation on the workpiece to be processed according to the instruction; and/or implementing command control on the monitoring system, so that the monitoring system is at least used for extracting data of the workpiece to be processed before and/or during and/or after the production processing operation and/or the operation information of the terminal to obtain monitoring data; and/or implementing instruction control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data. The invention realizes real-time monitoring and acquisition of data of terminal product processing, and instruction sending and receiving, and contrasts, analyzes and evaluates the result, thereby forming efficient production management and quality evaluation in a wide area.
Description
Technical Field
The invention relates to a lathe terminal, in particular to cloud intelligent processing equipment for remote task issuing or data acquisition or data comparison and feedback implementation and the like.
Background
The numerical control machine tool is a short name of a digital control machine tool (Computer numerical control machine tools), and is an automatic machine tool provided with a program control system. The control system is capable of logically processing and decoding a program defined by a control code or other symbolic instructions, represented by coded numbers, which are input to the numerical control device via the information carrier. After operation, the numerical control device sends out various control signals to control the action of the machine tool, and the parts are automatically machined according to the shape and the size required by the drawing. The numerical control machine tool well solves the problem of machining of complex, precise, small-batch and various parts, is a flexible and high-efficiency automatic machine tool, represents the development direction of the control technology of modern machine tools, and is a typical mechanical and electrical integration product.
The numerical control technology is positioned at the tail end of a technical chain in the whole manufacturing industry, and the actual processing and production of the straight surface are the basis of the automation of the manufacturing industry and the core of the advanced manufacturing technology. The numerical control system is the 'brain' of the numerical control machine as the core part of the numerical control technology, and the quality of the performance of the numerical control system determines the grade of the numerical control machine. Today, rapidly changing global markets and customized production place intelligent demands on numerical control systems. At present, numerical control systems at home and abroad generally lack intelligent support, and the main problems are that: (1) the widely used conventional numerical control system data interface standard ISO6893(G & M code) can only provide limited information to the numerical control system, i.e. the movement of the various axes and the control of the switches. Under the data interface standard, the numerical control system is only a faithful executor of numerical control machining instructions and cannot realize data format compatibility and information integration with a CAD/CAM unit, so that the development of the intelligence of the numerical control system is hindered; (2) the processing technology planning of the product mainly depends on the experience of a technology designer rather than the numerical control system, so that the non-processing time occupies a large proportion of the production period of the product, the production efficiency is reduced, and the quality of the product is also reduced.
In addition, the data device management system is heavily focused on industrial management, and aims to realize industrial management and efficient management. Meanwhile, it should be noted that the existing machine tool equipment only supports partial functions such as local area network or networking or partial measurement or production process evaluation, and mainly focuses on detection of the process, comparative evaluation of a single parameter and feedback. But does not have the capability of real-time instruction issuing, production management, whole production process, product quality evaluation and the like in a wide range. The system does not have the capabilities of real-time instruction issuing, production management, quality evaluation and the like in a wide area range, for example, when machine tool production and processing skill competition is carried out in the prior art, competition personnel and corresponding equipment need to be concentrated to a competition place, time and labor are consumed, and organization and participation cost is extremely high. For another example, when a manufacturer needs to purchase a certain machine tool, the manufacturer needs to know about the equipment related to operation on the spot for trial use to check the performance of the machine tool, and needs to go to the supplier for field investigation by a purchasing person and a related technician at the same time, which is time-consuming and labor-consuming, and occupies a large manpower cost.
Disclosure of Invention
To solve the above problems, the present invention discloses a cloud intelligent processing device, which has excellent functions of wide area management, real-time instruction distribution, detection, monitoring and comparison, and is helpful for product processing between different devices or comparison with standard product processing procedures and result data at various stages of production processing.
The cloud intelligent processing equipment at least comprises a machine body, a monitoring system, a communication system and a control system (the machine body, the monitoring system and the communication system can be uniformly controlled by the control system and can be independently controlled by a plurality of control units), wherein
A control system at least to:
implementing instruction control on the machine body, so that the machine body is at least used for executing production and processing operation on a workpiece to be processed (at least comprising a blank or a primary processing member and the like) according to an instruction;
and/or implementing command control on the monitoring system, so that the monitoring system is at least used for extracting data information of the to-be-processed workpiece before the production and processing operation is executed and/or data information of the to-be-processed workpiece during the production and processing operation and/or data information of the to-be-processed workpiece after the production and processing operation is executed and/or data information of the terminal to obtain monitoring data; (the information in process may also include at least product information and/or equipment information, such as product shape, size, tool wear, current, power, load, torque, tool type, feed parameters, control parameters, etc., including current, voltage, etc. fed back by the servo motor itself as a drive), the monitoring system may also be used to extract data information of the processing equipment before the production process is performed and/or data information of the processing equipment during the production process is performed and/or data information of the processing equipment after the production process is performed;
and/or implementing command control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data;
the comparison information is fed back by the cloud system/server and at least used for judging the production and processing operation and at least aiming at the process of the production and processing operation and/or the result of the production and processing operation.
The invention discloses a further improvement of cloud intelligent processing equipment, which at least comprises a machine body, a monitoring system, a communication system and a control system, wherein the machine body is connected with the monitoring system through a communication network
A control system at least to:
implementing control on an instruction of the machine body (the instruction source is a real-time machining instruction or a programmed instruction of an operator or a remote instruction (including a standard instruction, a remote command instruction and the like) from a cloud system/server) so that the machine body is at least used for executing production machining operation on a workpiece to be machined (at least including a blank or a primary machined part and the like) according to the instruction;
and/or implementing command control on the monitoring system, so that the monitoring system is at least used for extracting data of the workpiece to be processed before and/or during and/or after the production processing operation and/or the operation information of the terminal to obtain monitoring data;
and/or implementing command control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data (the monitoring data at least comprises model numbers, loads, feeding materials and the like, as mentioned above);
the comparison information is fed back by the cloud system/server and at least used for judging the production and processing operation and at least aiming at the process of the production and processing operation and/or the result of the production and processing operation. Further, the cloud system/server is used for receiving the data uploaded by the terminal, comparing the data with the standard data, and feeding back comparison information.
The invention discloses an improvement of cloud intelligent processing equipment, wherein comparison information at least comprises any one of the following information: the comparison of the self operation information of the same type of processing equipment and/or the self operation information of different types of processing equipment, the comparison of the information of the processed parts before the production and processing operation is executed and/or the comparison of the information of the different processed parts before the production and processing operation is executed, the comparison of the information of the processed parts after the production and processing operation is executed and/or the comparison of the information of the different processed parts after the production and processing operation is executed, and the comparison of the processing parameter information of the different processed parts during the production and processing operation is executed. Further preferably, the operation information at least includes information of the same equipment in different time periods or different tasks (including the same-type different-to-be-processed-part production processing tasks in the same stage/different stages or the same-stage different-time nodes/different stages of the same stage of the same processed part) or different equipment in the tasks. And further includes the front-back comparison of information of the same equipment (including information of tracking monitoring process of the blank to be processed, the blank in the processing process and the processed product before, during and after processing) in the operation period, the parallel comparison of information of different equipment in the same type of equipment in the operation period, the front-back comparison of information of the same type of equipment in the operation period of the same workpiece, the parallel comparison of information of different individuals in the same type of equipment in the operation period, the parallel comparison of information of different equipment in the same type of equipment in the operation period, the parallel comparison of information of different individuals in the same type of workpiece in the operation period, the parallel comparison of information of different individuals in the same type of equipment in the operation period, and the like.
The invention discloses an improvement of cloud intelligent processing equipment, wherein a monitoring system at least comprises a sensor and/or a servo system, and the sensor and/or the servo system is used for extracting data of a workpiece to be processed before and/or during and/or after the production processing operation and/or operation information of a terminal. The sensor acquires related data through detection and perception; the servo system as a driving system can feed back power, current, voltage, rotating speed and the like through the servo system.
The invention discloses an improvement of cloud intelligent processing equipment.
The invention discloses an improvement of cloud intelligent processing equipment. Such as WACOH6 axial force/moment sensors, BYN600, GTS100, WB9128-1, etc., which are used to obtain relevant parameters required for implementing the embodiments of the present invention, depending on the actual needs of the specific product type, model selection and matching.
In order to realize the operation of the whole system, the network connected with the processing equipment and the cloud system/server also comprises a remote control system which is in communication connection with the cloud system/server, is used for remotely accessing the cloud system/server and is at least used for implementing data reading and/or instruction sending. Further preferably, the remote control system is at least used for sending commands including production task assignment, production task dispatch, report (such as customized report) generation, report dispatch, report retrieval and the like.
The cloud intelligent processing equipment also comprises a positioning system which is used for acquiring and confirming the geographical position information of the processing equipment so as to mark the position of the processing equipment.
The invention discloses an improvement of cloud intelligent processing equipment.A positioning system comprises a GPS (global positioning system) positioning system and/or a Beidou positioning system and/or a GLONASS positioning system and/or a Galileo positioning system and/or a network identity authentication and identification system (at least comprising IP (Internet protocol) address authentication, access port authentication, gateway authentication and the like).
The cloud intelligent processing equipment further comprises a calibration system, and the calibration system is used for calculating calibration parameters (precision errors and the like) from the monitoring data and calibrating the monitoring data through the calibration parameters.
As a specific scheme:
a communication system: the machine tool has a networking function, and can be directly connected with the internet or indirectly connected with the internet through a server to realize online data sharing.
The monitoring system comprises: the single machine extracts data before or after processing by carrying contact or non-contact sensors such as infrared, CCD, laser, measuring head, etc., compares the data with the reserved data, identifies whether the data is correct or not, and directly obtains a report.
When the networked machines process the same product, through mutual permission,
the comparison result between the local machine and the standard data can be uploaded through a cloud, and after the comparison result is processed by the cloud or a local area network server, the data results between any 2 or more machines can be compared, and the data results are closer to or exceed the standard data (the data results can be comparison data after processing, time for completing tasks by the machines, and running data of the machines); and automatically generating reports according to the comparison results and automatically distributing the reports to the machine terminals which are compared with each other. (may be used as a competition function, with fewer competition machines, without being uniformly integrated into a uniform location, including without limitation general routine competition, casual competition, sample/product comparisons during development, machine competition, etc.
The interactive machine can realize the interaction among 2 or more machines, and the data such as the running speed, the load and the like, the processing program data, the processing process image, the product data, the product processing data and the like are compared to be used as the process improvement.
The method can be used for comparing self-operation data of different machines in the same operation environment, identifying machine difference and comparing performance (remote guidance).
The machine can identify the location and the affiliation of the machine through GPS, Beidou positioning or network identity authentication. (remote location, for competition)
Usage and application scenarios:
the method can be applied to various network competitions, and can realize comparison of the time and the processing result for processing the same part in different regions and different machine types.
The online monitoring system can be used for production lines of different regions, different enterprises and the same product, monitors, analyzes and compares data in the production process in real time on line, and performs corresponding optimization and improvement according to data comparison.
The method can provide application data for the Internet of things between enterprises of both suppliers and demanders.
The intelligent management system is carried, and the same control system, different machine types, the same machine type and different control systems can be realized in a cloud end or a local area network; and data analysis and exchange among machines of different machine types and different control systems.
The scheme of the invention reflects the comparison of parameters and processes of different stages in the whole process from the reaction of multiple platforms through the comparison of results, and then carries out evaluation. In addition, parameters and processes of the whole process can be adjusted according to the process, so that a better processing result is obtained, and the comprehensive benefit of equipment production operation is highlighted, namely, under a specific condition, the maximum high-quality finished product output or the fastest cost recovery and the like are obtained with the minimum consumption in the aspects of maintenance, operation, personnel and the like.
The processing equipment disclosed by the invention can ensure the safety of the machine tool and the processing piece by monitoring and calibrating the whole process processing of the processing equipment such as the machine tool and the processing piece, can avoid overload, tool breakage, burning and the like in the processing process, once monitoring the machine tool and relevant parameters of the processing process, when the monitoring of the parameters of the processing process such as load, current and the like and the parameters of the machine tool including tool abrasion, screw rod abrasion and the like are overflowed, the feedback of the current sensor, the vibration sensor and the like is correspondingly increased if the processing resistance is increased after the tool is abraded (note that the monitoring can be single monitoring based on a certain parameter or comprehensive monitoring based on multiple parameters), automatically alarming and stopping running so as to avoid the machine tool from generating the dangerous case; the safety of the machined part is that the size, the shape, the angle and the like of the machined part are monitored in the whole process, so that the machined part is processed according to the processing amount of the processing steps, excessive processing or insufficient processing caused by certain contact is avoided, the processing effect can be guaranteed, and the machined part is prevented from being scrapped.
In the long-term operation process, a large number of machine tools of different models can accumulate and count the monitoring data of products processing various materials, parameter adjustment data records (including but not limited to calibration compensation of inherent errors of equipment, calibration compensation of error accumulation caused by processing and the like) of manual compensation/automatic compensation and adjustment of equipment and the like, including error reporting, yield, qualification rate, equipment maintenance period (such as turning tool replacement maintenance period and the like) and production comprehensive cost generated corresponding to materials and parts, for example, when an A part is processed by using an aluminum alloy, and when a machine tool with the model I is used for processing, the processing data including error reporting, yield, qualification rate, equipment maintenance period (such as turning tool replacement maintenance period and the like) and production comprehensive cost and the like are counted; when the machine tool with the model II is adopted for machining, more models of machine tools are adopted for machining, wherein machining data including error reporting, yield, qualification rate, equipment maintenance period (such as turning tool replacement maintenance period) and comprehensive production cost are counted. Therefore, according to the statistical result, the machine tools of which types are suitable for being recommended to be used for machining and the machine tools of which types are not suitable for being used for machining are judged.
In the long-term operation process of the local machine, the trend judgment of error accumulation of the local machine in the long-term operation process is formed by monitoring the local machine, accumulating and counting parameter adjustment data records of manual compensation/automatic compensation and adjustment of equipment (including but not limited to calibration compensation of inherent errors of the equipment, calibration compensation of error accumulation caused by processing and the like), and therefore the maintenance protection plan and the maintenance period of the local machine can be expected and set, the difficulty and the cost of equipment maintenance are further reduced, and the operation and maintenance efficiency is improved.
The manual compensation of the system error is realized because the inherent error of the equipment is relatively stable, and the error drift of the same type of material is relatively stable, and the drift error is particularly suitable for the drift error when the same type of product is produced, so that the realization of statistics and compensation in the aspect of error compensation in the scheme of the invention is met.
Meanwhile, the method can also be used for counting according to related statistical data of a plurality of online multi-model devices, so that when a machine tool of a certain model is used for machining a product made of a certain material, related contents such as proper error correction and maintenance period can be preset, the device is arranged in advance for maintenance and the like, the dependence on actions such as manual intervention and manual monitoring is reduced, for example, when a machine tool of a model II is used for machining an A part made of an aluminum alloy material, a turning tool can be expected to be maintained, the device precision can be calibrated and the like after a plurality of parts are machined continuously for a certain time, and automatic adjustment, compensation and the like of the device can be realized through equipment presetting.
In addition, according to the relevant statistical data of a plurality of online multi-model devices, the precision error generated after each or a plurality of times of processing can be adjusted and automatically compensated aiming at the equipment system error when a certain model of machine tool processes a product made of a certain material, for example, when a machine tool with the model II is used for processing an A part made of an aluminum alloy material, the processing precision of the equipment can be preset to be compensated after each time of processing or after a plurality of parts are processed, and if n-wire errors occur in the X-axis direction after the processing, the n-wire errors can be correspondingly automatically compensated.
In addition, various basic data reports of a specific model or a specific type of equipment or a specific enterprise are formed on the basis of the statistical data, so that support is provided for technical improvement or technical development of a production enterprise, and technical improvement support data or product optimization data is provided.
In addition, by implementing the scheme, the running data in the running process of the equipment can be monitored by a monitoring system (the track of the equipment and the track of a product can be monitored in a program mode, such as the track monitoring of a cutter and a cutting piece in the running process, and parameters such as a dimension parameter, a feed parameter and the like can also be monitored in a mode), so that the running safety of the equipment is controlled in the whole running process of the equipment, the condition that the equipment is damaged by cutter collision and the like is avoided, the production and training efficiency and quality can be improved, and the feasibility of the on-board operation of training personnel is improved.
And moreover, the implementation of the scheme of the invention is improved, so that the situation that false alarm or equipment damage occurs in the running process of the equipment can be effectively avoided, namely that the alarm is given out when a specific range is set as a safety threshold value, and the situation that false alarm occurs easily when the set threshold value is too small and the equipment damage is easily caused when the set threshold value is too large is mainly avoided. The operation of the scheme refers to statistical data operation under the same situation, and can be set automatically according to the actual situation, so that the dependence on manual operation and experience of operators is reduced, and the fault-tolerant rate and the processing safety are improved.
Detailed Description
The present invention is further illustrated by the following specific embodiments, which are to be construed as merely illustrative, and not limitative of the remainder of the disclosure in any way whatsoever.
In practical operation, including but not limited to the following embodiments, the input of external commands may be implemented by means of a voice device, a writing pad, a touch screen, a keyboard, etc., thereby forming various operation instructions in the system. The system operates according to the program in the automatic operation stage.
Example 101
The cloud intelligent processing equipment (including but not limited to lathe, milling machine, grinding machine, boring machine, planer, drilling machine, punching machine, forging machine, crankshaft machine and the like) in the embodiment comprises a machine body, a monitoring system, a communication system and a control system, wherein the monitoring system, the communication system and the control system are arranged in the machine body
A control system at least to:
implementing instruction control on the machine body, so that the machine body is at least used for executing production and processing operation on a workpiece to be processed (at least comprising a blank or a primary processing member and the like) according to an instruction;
and/or implementing command control on the monitoring system, so that the monitoring system is at least used for extracting data of the workpiece to be processed before and/or during and/or after the production processing operation and/or the operation information of the terminal to obtain monitoring data;
and/or implementing command control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data;
the comparison information is fed back by the cloud system/server and at least used for judging the production and processing operation and at least aiming at the process of the production and processing operation and/or the result of the production and processing operation.
The control system (including an on-board industrial computer on the machine tool) can be arranged on the same machine tool, and each machine tool is used as a control center of the machine tool and at least takes charge of command control of at least one part of the operation, monitoring system and communication system of the machine tool; or the same control system on board can be used for carrying out unified comprehensive control. The present invention is not limited to the embodiments described herein, but should be construed to include other similar matters.
The processing device (in this embodiment, a numerically controlled lathe to which the technology of the present invention is applied is taken as an example) accesses the cloud system/server, reads a task instruction, obtains data information of a workpiece to be processed, including various product sizes, shapes, precision parameters and the like (such as a workpiece blueprint and a drawing), and obtains standard data for checking the processed product. The lathe operator checks the lathe and finishes the preparation work, then starts the lathe, the monitoring system reads basic data information (including main shaft torque, rotating speed, power, equipment model and the like) of the lathe, and finishes programming according to the data information of the workpiece to be machined, and the blank is machined step by step. The monitoring system synchronously records processing information (such as feeding, load, torque and the like) in the processing process, and after the processing is finished, the monitoring system further monitors the processed piece to finish the acquisition of basic information of the shape, the size and the like of the processed piece (the processed product of the blank) and monitoring data of tolerance and the like. And comparing the monitoring data with the standard data, judging the processing quality of the product, and feeding back a comparison result (the process can be generated by a terminal or remotely generated by a cloud system/a server and the like). The user can directly obtain the comparison result (simple comparison report, etc.) from the machine tool, or obtain the comparison result from the factory management system or the workshop management system accessing the cloud system/server, and the report content can include the comparison of the processing parameters, the comparison of the effect data of the processed product, etc. (customized report, etc. obtained according to the needs and purposes of the customer).
The technology of the embodiment can be applied to the comparison of the processing process, the processing result and the like of the same product by different types of equipment in the same area and/or different areas; comparing the processing process, the processing result and the like of the same product by the same type of equipment in the same area and/or different areas; and comparing the processing process, the processing result and the like of different products by the same type of equipment in the same area and/or different areas. The method can be particularly used for ranking and evaluating skill competition, evaluating remote trial purchase of equipment, optimizing and improving production process and the like. The present invention is not limited to the embodiments described herein, but should be construed to include other similar matters.
Example 102
The cloud intelligent processing equipment comprises a machine body, a monitoring system, a communication system and a control system; at the moment, a servo system used for driving in the machine body synchronously feeds back related parameters to a monitoring system for supplementing or calibrating, wherein the supplementing refers to that when a special external sensor such as output power is not arranged for detection, the output is directly output through the servo system; the calibration refers to that when a special additional sensor is arranged for detection such as output power and the like, a servo system outputs a detection result related to the sensor for rechecking so as to improve the accuracy, wherein
A control system at least to:
performing command control on a machine tool (including but not limited to operations of a lathe, a milling machine, a grinding machine, a boring machine, a planer, a drilling machine, a punching machine, a forging machine, a crankshaft machine and the like) so as to enable the machine tool to be at least used for executing production machining operations on a workpiece (including at least a blank or a machined workpiece and the like) according to commands;
and/or implementing command control on the monitoring system, so that the monitoring system is at least used for extracting data of the workpiece to be processed before and/or during and/or after the production processing operation and/or the operation information of the terminal to obtain monitoring data;
and/or implementing command control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data;
the comparison information is fed back by the cloud system/server and at least used for judging the production and processing operation and at least aiming at the process of the production and processing operation and/or the result of the production and processing operation.
A machine tool (including but not limited to a certain machine tool, in this embodiment, a numerical control lathe to which the technology of the present invention is applied is taken as an example) accesses the cloud system/server, reads a task instruction, obtains data information of a workpiece to be machined, including various product sizes, shapes, precision parameters and the like (such as a workpiece blueprint and a drawing), and obtains standard data for checking a machined product. A lathe operator checks the lathe and starts the lathe after preparation is completed, the monitoring system I reads basic data information (including main shaft torque, rotating speed, power, equipment model and the like) of the lathe, programming is completed according to the data information of a workpiece to be machined, and the blank is machined step by step. And the monitoring system II synchronously records processing information (such as feeding, load, torque and the like) in the processing process, and after the processing is finished, the monitoring system III further monitors the processed part to finish the acquisition of basic information of the shape, the size and the like of the processed part (a product finished by blank processing) and monitoring data of tolerance and the like. And comparing the monitoring data with the standard data, judging the processing quality of the product, and feeding back a comparison result (the process can be generated by the lathe, such as directly generated by an onboard industrial computer, or remotely generated by a cloud system/server and the like). The user can directly obtain the comparison result (simple comparison report, etc.) by the machine tool, or obtain the comparison result by the factory management system or the workshop management system accessing the cloud system/server, and the report content can include the comparison of the processing parameters, the comparison of the effect data of the processed product, etc. (customized report, etc. obtained according to the needs and purposes of the customer).
The technology of the embodiment can be applied to the comparison of the processing process, the processing result and the like of the same product by different types of equipment in the same area and/or different areas; comparing the processing process, the processing result and the like of the same product by the same type of equipment in the same area and/or different areas; and comparing the processing process, the processing result and the like of different products by the same type of equipment in the same area and/or different areas. The method can be particularly used for ranking and evaluating skill competition, remote trial evaluation of terminal equipment purchase, optimization and improvement of production process and the like.
Example 103
The cloud intelligent processing equipment comprises a machine body, a monitoring system, a communication system and a control system, wherein the machine body, the monitoring system, the communication system and the control system are arranged in the machine body
A control system at least to:
performing command control on a machine tool (including but not limited to operations of a lathe, a milling machine, a grinding machine, a boring machine, a planer, a drilling machine, a punching machine, a forging machine, a crankshaft machine and the like) so as to enable the machine tool to be at least used for executing production machining operations on a workpiece (including at least a blank or a machined workpiece and the like) according to commands;
and/or implementing command control on a monitoring system, wherein the monitoring system is provided with an online laser sensor (other types of sensors can also be used), and the monitoring system has a distance measuring function, so that the monitoring system is at least used for extracting data of the workpiece to be processed before and/or during and/or after the production processing operation and/or operation information of the terminal to obtain monitoring data;
and/or implementing command control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data;
the comparison information is fed back by the cloud system/server and at least used for judging the production and processing operation and at least aiming at the process of the production and processing operation and/or the result of the production and processing operation.
The device (including but not limited to a certain machine tool, in this embodiment, a numerical control lathe to which the technology of the present invention is applied is taken as an example) accesses the cloud system/server, reads a task instruction, obtains data information of a workpiece to be machined, including various product sizes, shapes, precision parameters and the like (such as a workpiece blueprint and a drawing), and obtains standard data for checking a machined product. The lathe operator checks the lathe and finishes the preparation work, then starts the lathe, the monitoring system reads basic data information (including main shaft torque, rotating speed, power, equipment model and the like) of the lathe, the programming is finished according to the data information of the workpiece to be machined, the blank is machined step by step, and the laser sensor records the forming information of the workpiece machining process. The monitoring system synchronously records processing information (such as feeding, load, torque and the like) in the processing process, and after the processing is finished, the laser sensor of the monitoring system further monitors the processed piece, so that basic information of the shape, the size and the like of the processed piece (a product processed by a blank) and monitoring data of tolerance and the like are obtained. And comparing the monitoring data with the standard data, judging the processing quality of the product, and feeding back a comparison result (the process can be generated by a terminal or remotely generated by a cloud system/a server and the like). The user can directly obtain the comparison result (which can be a simple comparison report and the like) from the machine tool (obtained through an on-board computer), or can obtain the comparison result by accessing the cloud system/server through a factory management system or a workshop management system, and whether the access qualification can be obtained or not according to the access authority, wherein the report content can comprise the comparison of the parameters of the processing process, the comparison of the effect data of the processing product and the like (which can be a customized report and the like obtained according to the requirements and purposes of the client).
Example 104
The cloud intelligent processing equipment comprises a machine body, a monitoring system, a communication system and a control system, wherein the machine body, the monitoring system, the communication system and the control system are arranged in the machine body
A control system at least to:
performing command control on a machine tool (including but not limited to operations of a lathe, a milling machine, a grinding machine, a boring machine, a planer, a drilling machine, a punching machine, a forging machine, a crankshaft machine and the like) so as to enable the machine tool to be at least used for executing production machining operations on a workpiece (including at least a blank or a machined workpiece and the like) according to commands;
and/or implementing command control on a monitoring system, wherein the monitoring system is provided with an online infrared sensor (other types of sensors can also be used), and the monitoring system has a distance measuring function, so that the monitoring system is at least used for extracting data of the workpiece to be processed before and/or during and/or after the production processing operation and/or operation information of the terminal to obtain monitoring data;
and/or implementing command control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data;
the comparison information is fed back by the cloud system/server and at least used for judging the production and processing operation and at least aiming at the process of the production and processing operation and/or the result of the production and processing operation. The processing device is here a component node of a remote network, which is networked together with a cloud system/server remote control system (e.g. a control and management platform established by the cloud system/server owner on the basis of the database), etc., which is communicatively connected to the cloud system/server for remote access to the cloud system/server and at least for data reading and/or command transmission.
Example 105
The cloud intelligent processing equipment comprises a machine body, a monitoring system, a communication system, a positioning system and a control system, wherein the machine body, the monitoring system, the communication system, the positioning system and the control system are arranged in the machine body
A control system at least to:
implementing command control on a machine body (which can be a machine tool (including but not limited to a lathe, a milling machine, a grinding machine, a boring machine, a planer, a drilling machine, a punching machine, a forging machine, a crankshaft machine and the like)) so as to enable the machine body to be at least used for executing production machining operation on a workpiece (at least including a blank or a primary workpiece and the like) according to commands;
and/or implementing command control on the monitoring system, so that the monitoring system is at least used for extracting data of the workpiece to be processed before and/or during and/or after the production processing operation and/or the operation information of the terminal to obtain monitoring data;
and/or implementing command control on the communication system, so that the communication system is used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and/or monitoring data;
and/or implementing instruction control on a positioning system, wherein the instruction control is used for acquiring and confirming the geographical position information of the processing equipment so as to mark the position of the processing equipment, and the embodiment takes GPS positioning as an example;
the comparison information is fed back by the cloud system/server and at least used for judging the production and processing operation and at least aiming at the process of the production and processing operation and/or the result of the production and processing operation.
The processing device is here a component node of a remote network, which is networked together with a cloud system/server remote control system (e.g. a control and management platform established by the cloud system/server owner on the basis of the database), etc., which is communicatively connected to the cloud system/server for remote access to the cloud system/server and at least for data reading and/or command transmission.
The following exemplified devices meet the technical requirements of the inventive solution, either by themselves or by additional facilities.
Taking the case of holding a youth man-machine processing competition nationwide, the remote control system issues instructions to the cloud system/server, including competition time, competition contents and the like. During the competition, each competition terminal (the terminal includes but is not limited to a certain machine tool, and this embodiment takes a numerical control five-axis machining center to which the technology of the present invention is applied as an example, the competition terminals are uniquely bound by means of an identity card, an ID address, a camera, a GPS, and the like to determine legitimate competition participants), access the cloud system/server, determine competition participation, read a task instruction, acquire competition contents including data information not limited to workpieces to be machined, including various product sizes, shapes, precision parameters, and the like (such as a workpiece blueprint and a drawing), and acquire standard data for checking the machined products. The lathe operator checks the lathe and finishes the preparation work, then starts the lathe, the monitoring system reads basic data information (including main shaft torque, rotating speed, power, equipment model and the like) of the lathe, the programming is finished according to the data information of the workpiece to be machined, the blank is machined step by step, and the infrared sensor records the forming information of the workpiece machining process. The monitoring system synchronously records information (such as feed, load, torque and the like) in the machining process, and after machining is finished, the infrared sensor of the monitoring system further monitors the machined part to finish obtaining basic information of the shape, the size and the like of the machined part (a product finished by blank machining) and monitoring data of tolerance and the like. And then the cloud system/server compares the monitoring data with the standard data, judges the processing quality of the product, feeds back a comparison result (the process can be generated by a terminal or can be generated remotely by the cloud system/server and the like), scores each result according to a competition rule, finally issues a competition result by a group office through a remote control system instruction, and each competitor can obtain the respective competition name in a remote access mode.
Taking a five-axis machining center adopted by a certain production enterprise as an example, a notification form is used for issuing instructions to the cloud system/server through the remote control system, wherein the instructions comprise requirements on the five-axis machining center and the like. After obtaining information, each supplier accesses the cloud system/server, accesses the product to the network and connects the cloud system/server, receives remote trial or performs remote demonstration, and feeds back trial or demonstration detailed information to the cloud system/server, wherein the content of the trial or demonstration detailed information comprises data information which is not limited to the workpiece to be processed, including demonstration product size, shape, precision parameters and the like (such as workpiece blueprint and drawing); lathe basic data information (including spindle torque, rotational speed, power, equipment model, etc.); forming information of a workpiece machining process; and acquiring basic information such as the shape and the size of a machined part (a finished product of the blank), and monitoring data such as tolerance. The cloud system/server compares and collates the demonstration data of each supplier, feeds the data back to the production enterprise, and the production enterprise confirms and determines the purchasing party, the purchased products, the purchasing quantity and the like.
Also taking distributed production as an example, a certain spare and accessory supplier needs to supply goods across the country, can issue tasks in a cloud system/server through a remote control system, and can add performance indexes required by products or even standard processing technologies. Terminals (provided with terminals with the performance of the invention, such as various machine tools such as lathes and the like and machining equipment mechanical processing factories) in various regions can log in a cloud system/server on a network to receive tasks, receive remote task monitoring (at least comprising task progress, completion quality and the like), and receive remote guidance of technicians to complete related tasks, thereby realizing 'scattered point' type production.
Including but not limited to the above embodiments, it is also possible to directly recommend the adopted equipment model to the user or one party when the part a is machined by using aluminum alloy upon release by accessing the cloud system/server; and can clarify which models of machine tools are not recommended to be adopted and give reasons for not recommending the adoption. Meanwhile, the system can forecast the equipment maintenance period, precision supplement and the like. Therefore, the processing quality and efficiency of a certain product are integrally controlled, the comprehensive cost is reduced, and the selection of processors with the capability of production is facilitated.
Except for the technical scheme serving as an innovation point, other technical schemes which are not specifically stated in the invention can be supplemented and perfected by adopting the conventional technical scheme in the field without influencing the implementation of the scheme of the invention.
In addition, in the implementation process of the scheme of the invention, the optimization of the process is realized according to different evaluation results, for example, the standard processing process can be updated.
The technical range of the embodiment of the invention is not exhaustive, and a new technical scheme formed by equivalent replacement of single or multiple technical features of the cloud system/server by the remote control system in the technical scheme of the embodiment is also within the technical range of the invention; in all the embodiments of the present invention, which are listed or not listed, each parameter in the same embodiment only represents an example (i.e., a feasible embodiment) of the technical solution, and there is no strict matching and limiting relationship between the parameters, wherein the parameters may be replaced with each other without departing from the axiom and the requirements of the present invention, unless otherwise specified.
The technical means disclosed by the scheme of the invention are not limited to the technical means disclosed by the technical means, and the technical scheme also comprises the technical scheme formed by any combination of the technical characteristics. While the foregoing is directed to embodiments of the present invention, it will be appreciated by those skilled in the art that various changes may be made in the embodiments without departing from the principles of the invention, and that such changes and modifications are intended to be included within the scope of the invention.
Claims (9)
1. The utility model provides a cloud intelligence processing equipment, includes organism, monitored control system, communication system and control system at least, wherein control system is used for at least: implementing instruction control on the machine bodies of different devices, so that the machine bodies are at least used for executing production and processing operation on the workpiece to be processed according to the instruction; implementing command control on the monitoring system, so that the monitoring system is at least used for extracting data information of the to-be-processed parts processed by different equipment before the production and processing operation is executed, data information of the to-be-processed parts during the production and processing operation, data information of the to-be-processed parts after the production and processing operation is executed, and data information of the terminal to obtain monitoring data; implementing command control on the communication system, so that the communication system is at least used for executing data transmission with the cloud system/server, wherein the data transmission at least comprises comparison information and monitoring data; the comparison information is fed back by the cloud system/the server and at least used for judging the production and processing operation and judging the process of the production and processing operation and the result of the production and processing operation;
the comparison information at least comprises: comparing the self operation information of the same type of processing equipment with the self operation information of different types of processing equipment, comparing the information of the processed parts before the production and processing operation is executed with the information of different processed parts before the production and processing operation is executed, comparing the information of the processed parts after the production and processing operation is executed with the information of different processed parts after the production and processing operation is executed, and comparing the processing parameter information of different processed parts during the production and processing operation;
according to the comparison information, when the same product is processed, the following mutual permission is carried out:
uploading a comparison result of the local computer and the standard data through the cloud system/server, comparing data results of any 2 or more devices after the comparison result is processed by the cloud system/server or the local area network server, determining who is closer to or exceeds the standard data, automatically generating a report according to the comparison result, and automatically distributing the report to the device terminals which are compared with each other;
the system is used for comparing self operation data of different devices in the same operation environment, identifying machine difference and comparing performance;
the interaction among 2 or more devices is realized, and the running speed, the load, the processing program data, the processing process image, the product data and the product processing data are compared to be used as the process improvement basis.
2. The cloud intelligent processing device according to claim 1, wherein the monitoring system comprises a sensor and/or a servo system, and the sensor and/or the servo system is used for extracting data of the workpiece to be processed before, during and after the production processing operation is performed, and operation information of the processing device.
3. The cloud smart process facility of claim 2, wherein the sensors comprise contact sensors and/or non-contact sensors.
4. The cloud intelligent processing apparatus of claim 3, wherein the sensor comprises an infrared sensor or a CCD sensor or a laser sensor or a torque sensor or a power sensor or a current sensor.
5. The cloud intelligent processing device according to any one of claims 1 to 4, wherein the cloud intelligent processing device further comprises a positioning system for acquiring and confirming geographic location information of the processing device to mark the location of the processing device.
6. The cloud intelligent processing apparatus of claim 5, wherein the positioning system comprises a GPS positioning system and/or a Beidou positioning system and/or a GLONASS positioning system and/or a Galileo positioning system and/or a network identity authentication and identification system.
7. The cloud intelligent processing device according to any one of claims 1 to 4, wherein the cloud intelligent processing device further comprises a calibration system configured to calculate calibration parameters from the monitoring data and calibrate the monitoring data according to the calibration parameters.
8. The cloud intelligent processing device according to claim 5, further comprising a calibration system configured to calculate calibration parameters from the monitoring data and calibrate the monitoring data according to the calibration parameters.
9. The cloud intelligent processing device according to claim 6, further comprising a calibration system configured to calculate calibration parameters from the monitoring data and calibrate the monitoring data according to the calibration parameters.
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| CN111026032B (en) * | 2019-12-26 | 2021-10-22 | 武汉重型机床集团有限公司 | Real-time monitoring system based on industrial numerical control machine tool and working method thereof |
| TWI744147B (en) | 2020-12-24 | 2021-10-21 | 財團法人工業技術研究院 | A method and a control host for a motion test of a movable machinery |
| CN115099706B (en) * | 2022-07-27 | 2023-03-24 | 广州春晓信息科技有限公司 | Distributed production management system and method based on Internet of things |
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