CN100480921C - Multiple physical states monitoring optimizing and remote synthetic diagnose intelligent numerical control system - Google Patents
Multiple physical states monitoring optimizing and remote synthetic diagnose intelligent numerical control system Download PDFInfo
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Abstract
The present invention relates to an intelligent numerical control system based on monitoring, optimization and remote integrated diagnosis featuring a plurality of physical states belonging to the technical field of electromechanical integrated numerical control, which provides an intelligent numerical control system based on monitoring, optimization of processing operation and remote integrated diagnosis characterized by a plurality of onsite physical states. The technic proposal of the present invention lies in that: The numerical control system mainly comprises a master control module, a moving control module, a communication module, an equipment state monitoring module, an online detection module and a network monitoring and diagnosis module. In addition to that the moving control module and a collection and analysis unit respectively adopts a high-speed DSP as an independent core processor, other elements and the master control module share a high-performance microprocessor. Bus 1 in a system is utilized to connect all modules to fulfill function transfer and data transmission. The present invention is mainly applicable to intelligent numerical control system provided with function of remote integrated diagnosis.
Description
Technical field
The invention belongs to the fields of numeric control technique of electromechanical integration, specifically, is a kind of intelligent numerical control system based on multiple physical states monitoring and optimization and remote synthetic diagnose.
Technical background
Along with the requirement of modern mechanical processing to complicated, precise treatment, maximization and robotization improves constantly, some high-grade accurate digital control process equipments are used widely day by day.These equipment play key and even central role to crudy and efficient, and often cost is quite expensive; Even some product that processes, because complicacy or features such as accuracy or maximization, its single-piece cost or processing cost are also quite surprising.In the case, process equipment damage or product rejection even only be that the reduction of working (machining) efficiency all may cause tremendous loss.
Because structural complexity, the technical advance of numerically-controlled machine, in case fault has appearred in lathe, it checks that workload is big, and it is many to relate to technical field, the general unable solution of field personnel or technician, but need the technician and the relevant expert's of strange land lathe manufacturer technical support.Generally, the numerical control device that the technician of strange land lathe manufacturer or relevant expert break down for maintenance, the necessary field data of understanding relevant device.And under present condition, these related personnel must arrive processing site in person, this makes except increasing economy and personnel's burden, to the lathe user, the loss of its maximum is that equipment failure can not in time get rid of, incur loss through delay the production cycle greatly, upset fabrication plan, even may cause contract dispute; And, because the mutual restriction between region, industry and enterprise, get in touch loosely each other for the technician, making actual techniques strength seem has sizable potentiality not to be fully used simultaneously by wretched insufficiency again.Therefore, when equipment was seen a doctor, because the region restriction, expert or the technician of manufacturer will hurry back and forth in all parts of the country, cause the serious waste of resource.
Adopt special checkout equipment traditionally, process equipment is detected in the mode of patrolling and examining or regularly detect.And existing processing optimal control system all adopts the external hanging type form that is independent of digital control system
[1,2], both fail to realize seamless integrated.Do not meet the modular design concept and the development trend of digital control system in open type, and, increased the difficulty of Installation and Debugging and even operation in having improved the system complex degree virtually.At present, some external well-known digital control system manufacturers have been that monitoring platform has been carried out the remote monitoring at machine tool capability with the digital control system
[3], but it can only detect and assess the lathe special parameter under off working state, can't realize the monitoring and diagnosis of manufacturing system under the processing environment.
[1]. intelligent adaptive Research of numerical control (NC) Machining Technology summary, Jin Rencheng, Li Shuijin, Tang Xiaoqi etc., tool technique, 2004,34 (11): 3-5
[2] .Omat Intelligent Adaptive Control system, Beijing Jia Yuan easily moistens development in science and technology company limited, manufacturing technology and lathe, 2006,5:120-121
[3].ePS?Network?Services，SIEMENS，2006.2。
Summary of the invention
For overcoming the deficiencies in the prior art, the objective of the invention is to: provide a kind of and move the intelligent numerical control system of optimizing and possessing the remote synthetic diagnose function, be optimized for the intelligent solution of target and the networked solution that is diagnosed as target with remote monitoring with process safety and processing as Platform Implementation based on on-the-spot multiple physical states monitoring and processing.
In order to achieve the above object, the technical solution used in the present invention is:
Main control module, face the control module, be connected with system bus and motion-control module, communication module, equipment state respectively in machine testing module and network monitoring diagnostic module, main control module is a core with the high-performance microprocessor, is used to finish tasks such as system initialization, parameter management, global data management, overall tasks coordination, man-machine interaction management, motor program error detection, lathe adjustment, User Defined functional development, system help;
Motion-control module, motion-control module is core with the high-speed dsp, by the motor program and the configuration parameter that download in this module FLASH storer, be used for independently finishing the relevant controls of lathe action such as motor program decoding, cutter compensation, pitch compensation, interpolation, servocontrol, PLC control;
In the machine testing module, comprise geological information measuring unit, error evaluation unit, in the machine testing memory block, the geological information measuring unit links to each other with three dimensional probe, 3-D probe, system bus, error evaluation unit respectively, and geological information measuring unit, error evaluation unit link to each other respectively with in the machine testing memory block;
The device status monitoring module, comprise signals collecting and analytic unit, electric state monitoring means, jump signal monitoring means, the electric state monitoring means links to each other with each electrical port respectively, signals collecting links to each other with the stationary signal sensor with analytic unit, be provided with Photoelectric infrared switch and constitute vision feedforward device, its output signal connects circulatory monitoring routine processes module through system digits IO circuit, be provided with the jump signal that processing can't early warning, by the safety buffer that damper and redundant device combine and be built into, safety buffer is connected to main control module through bus;
The network monitoring diagnostic module comprises processing scene monitoring means, software timing is grabbed the screen unit, on-the-spot physical state remote diagnostics unit, the network monitoring policy unit, the diagnostic message storage unit, the network monitoring policy unit links to each other with remote monitoring terminal, the network monitoring policy unit is also grabbed the screen unit with software timing respectively, on-the-spot physical state remote diagnostics unit, processing scene monitoring means links to each other, processing scene monitoring means links to each other with field high-speed CCD camera, software timing is grabbed the screen unit, processing scene monitoring means is connected to remote monitoring terminal by the data buffer through communication module respectively, on-the-spot physical state remote diagnostics unit connected system bus, on-the-spot physical state remote diagnostics unit also connects the remote monitoring diagnostic terminal through communication module;
The shared primary processor of communication module and main control module further comprises RS232 interface chip and interface, USB interface chip and interface, Ethernet interface chip and interface.
Described signals collecting links to each other with the stationary signal sensor with analytic unit, signals collecting and analytic unit are core with the high-speed dsp, the FLASH storer, sensor, high capacity SDRAM, SDRAM is in order to keep internal program operation required memory space, unit, and can be used as the buffer area of each passage image data, the system intelligence policy library that the FLASH storage can repeatedly be downloaded, signals collecting and analytic unit can be configured to 2 to 32 passages on demand, be equipped with all kinds of steady signal transducer arrays of front end and can finish vibration, cutting force, acoustic emission, temperature, current of electric, the continuous acquisition of machining state signals such as line voltage, signals collecting and analytic unit are finished the conventional Characteristic Extraction of signal by the special chip that is solidified with the classical signals analysis means, signals collecting and analytic unit are finished signal condition identification by expert knowledge library that FLASH stores and fuzzy policy library and are calculated with parameters optimization, and signals collecting links to each other with main control module by the digital control system internal bus with analytic unit.
The present invention possesses following technique effect:
The multiple physical states monitoring optimizing that the present invention makes up and the intelligent numerical control system of remote synthetic diagnose, adopt multiple physical states classification monitoring system for handling, by integrated fast parallel monitoring optimizing and the fault handling of finishing multiple physical state information in the digital control processing process of digital control system.Wherein at the workpiece processing geological information can reduce the workpiece number of times that is installed in the machine quality testing, digital control system can in time be obtained workpiece morpheme control information, is convenient to the subsequent technique parameter adjustment, helps the rate of reducing the number of rejects and seconds.Multiple object network comprehensively monitoring diagnosis system can be remote monitoring terminal multiple online or off-line state information is provided, and has enriched the Data Source foundation of remote monitoring diagnostic.Merge the digital control system of status monitoring and networked comprehensively monitoring diagnosis, made full use of the software and hardware technology advantage of high speed development, can integrated realization to the motion control of lathe and the monitoring optimizing and the networked remote monitoring diagnostic of on-the-spot multiple physical states, strengthened level of integrated system.
Description of drawings
Fig. 1: device status monitoring module.Among the figure:
1, system bus, 21, sensor array, 5, the device status monitoring module, 5-1, signals collecting and analytic unit, 5-2, electric state monitoring means, 5-3, jump signal monitoring means, 41, Photoelectric infrared switch, 51, damper or redundant device.
Fig. 2: in the machine testing module.Among the figure:
1, system bus, 22, ruby contact-type 3 D gauge head, 6, in the machine testing module, 6-1, geological information measuring unit, 6-2, error evaluation unit.
Fig. 3: network monitoring diagnostic module.Among the figure:
1, system bus, 23, high-speed CCD camera, 7, network monitoring diagnostic module, 7-1, processing scene monitoring means, 7-2, software timing are grabbed the screen unit, 7-3, on-the-spot physical state remote diagnostics unit, 7-4, network monitoring policy unit, 7-5, diagnostic message storage unit.
Fig. 4: digital control system.Among the figure:
1, system bus, 2, main control module, 3, motion-control module, 4, communication module, 5, the device status monitoring module, 6, in the machine testing module, 7, the network monitoring diagnostic module.
Fig. 5 multiple physical states classification monitoring treatment scheme.
The multiple object network comprehensively monitoring of Fig. 6 diagnostic process.
Embodiment
The present invention adopts modular design method towards the plurality of target functional task, keeps relative independentability again between co-operating each functional unit, to adapt to user's specific customization demand, is convenient to the upgrading expansion and reduces with function.Carry out communication by bus forms such as PCI, PC104, USB universal serial bus between systemic-function cell level bottom hardware, under the prerequisite that satisfies specific function, speed and stability, can freely match.Main control module serves as the control core with 1G or above (can match) high-speed industrial CPU, finish administrative task such as memory management, man-machine interaction, file management, task scheduling, total line traffic control, resource distribution, the expansion interface and the api function storehouse of standard are provided, dynamic layered chain type task management structure is provided, with joint form statement TU task unit, each task node only exerts an influence to father, child node and brother, four nodes of younger brother, with the flexible configuration demand of back-up system.
With the digital control system is the invention object, integrated use numerical control, observing and controlling, network and artificial intelligence technology, with high-performance microprocessor and DSP core, structure moves the intelligent numerical control system of optimizing and possessing the remote synthetic diagnose function based on on-the-spot multiple physical states monitoring and processing, realizes the coordination parallel running of digital control processing control, status monitoring and optimization and remote diagnosis.
The integrated mechanism of digital control system that the characteristic of invention is mainly reflected in multiple physical states classification monitoring system for handling, multiple object network comprehensively monitoring diagnosis system and merges above-mentioned system.
Digital control system mainly is divided into main control module, motion-control module, communication module, device status monitoring module, in machine testing module and network monitoring diagnostic module 6 major parts, main control module is core with the high-performance microprocessor, finish tasks such as system initialization, parameter management, global data management, overall tasks coordination, man-machine interaction management, motor program error detection, lathe adjustment, User Defined functional development, system help, and the fault handling measure of responsive state monitoring modular; Motion-control module is core with the high-speed dsp, by the motor program and the configuration parameter that download in this module FLASH storer, can independently finish the relevant control function of lathe action such as motor program decoding, cutter compensation, pitch compensation, interpolation, servocontrol, PLC control; The shared primary processor of communication module and main control module is finished the transmission control of RS232 interface, USB interface and Ethernet interface, for other module provides the remote communicating function support; The device status monitoring module, multiple physical state classification monitoring system for handling and multiple object network comprehensively monitoring diagnosis system feature that digital control system self is possessed have then been embodied respectively at machine testing module and network monitoring diagnostic module.User command is sent by main control module, and except that the order that main control module self can respond, all the other orders are automatically forwarded to corresponding module through the internal system bus and handle.The synthetic operation of each module has realized merging the integrated mechanism of digital control system of status monitoring and the diagnosis of networked comprehensively monitoring.
Below technical scheme of the present invention is elaborated.
(1), multiple physical states classification monitoring system for handling is achieved in that
Monitoring state information is divided into numerically controlled processing equipment (comprising numerically-controlled machine and digital control system) running state information and workpiece to be machined geological information two big classes.
The numerically controlled processing equipment running state information is handled by the device status monitoring module.In this module, equipment running status information is further divided into system constraint level signal, stationary signal and jump signal again and handles respectively for three types.The physical state Signals ﹠ Systems safety that comprises discrete forms such as digital control system internal hardware Link State, interface electric state, communication connection status, servo driving state and other peripheral hardware state is directly related, as system constraint level signal, the status information that belongs to highest level is made a response rapidly by the electric state monitoring means.By setting up quick response policy storehouse, comprise at each system constraint level signal of specific memory section stored that signal stay draws, the relevant information of signal implication, treatment measures, help information etc.High-speed cruising is in each electrical port state of port monitoring facilities cycle detection on system backstage.When such signal takes place, the message response mechanism of triggering system, the electric state monitoring means is inquired about quick response policy storehouse with call number, and submits warning, mistake, danger, shutdown level Four treatment measures to the digital control system main control module; Simultaneously, comprise the signal source, time of origin, the treatment measures of having taked are recorded in system constraint level signal log at this interior signal attribute, as the foundation of system fault diagnosis.
The process equipment that is obtained by sensor measurement and the stationary signal of process physical state variable show with conitnuous forms, stablize usually under the processing situation, and this class signal does not have and surmounts the fluctuation of threshold value separately for a long time.With DSP is that core is equipped with high capacity SDRAM and the FLASH chip makes up signals collecting and analytic unit.SDRAM moves the required memory space in order to keep the unit internal program, and can be used as the buffer area of each passage image data.The system intelligence policy library that the FLASH storage can repeatedly be downloaded.Signals collecting and analytic unit can be configured to 2 to 32 passages on demand, are equipped with the continuous acquisition that front end various kinds of sensors array can be finished machining state signals such as vibration, cutting force, acoustic emission, temperature, current of electric, line voltage.Signals collecting and analytic unit are finished the conventional Characteristic Extraction of signal by the special chip that is solidified with the classical signals analysis means.Signals collecting and analytic unit are finished signal condition identification by expert knowledge library that FLASH stores and fuzzy policy library and are calculated with parameters optimization.Signals collecting and analytic unit, comprise the physical quantity state of original sampling data, signal characteristic quantity, signal representative and optimize the result to the main control module data of reporting the result by the digital control system internal bus.
Can't predict the jump signal that when takes place and system or lathe are caused significant impact for work in-process, and the cutter collision that cause loosening, workpiece interference and collision etc. as line voltage sudden change, operation lack of standardization or cutter, occurrence probability is less, but system does not have time enough to respond when taking place.The jump signal monitoring means is responsible for the monitoring of such signal and is handled.Adopt Photoelectric infrared switch to constitute vision feedforward device, its input signal by the circulatory monitoring routine processes of high-speed cruising in the system backstage, is realized anti-collision warning through system digits IO circuit.For jump signal that can't early warning,, jump signal is converted into safe stationary signal, or utilizes redundant measure to evade the harm of bad jump signal by the damper structure safety buffer that combines with redundant device.Simultaneously, the jump signal result is through digital control system internal bus notice main control module.Comprise the signal source, time of origin, the treatment measures of having taked are recorded in the jump signal daily record at interior jump signal attribute, as the foundation of system fault diagnosis.
The detection of workpiece to be machined geological information is realized in the machine testing module by digital control system.In the machine testing module with the trigger pip of outside three dimensional probe, 3-D probe as input sign amount.Gauge head can be selected for use homemade or foreign brand name ruby contact-type 3 D gauge head.Parameters such as gauge head specification, chaining pin length and survey bulb diameter are selected according to bed piece and workpiece size.In the digital control processing process, after finishing a certain certain working procedure, begin to enter workpiece geological information testing process, be mainly used in and analyze the geometric accuracy that this operation finishes the back workpiece.After the machine testing module detects gauge head input sign amount, obtain the current measurement point actual coordinate of feedback from motion-control module through system bus.All measurement points measure the back measurement data will be admitted to the error evaluation unit.All measurement point measurement data and error evaluation element analysis result are kept in the machine testing memory block with the daily record form, as the information source of subsequent technique adjustment and fault diagnosis.
(2), multiple object network comprehensively monitoring diagnosis system is achieved in that
The digital control system communication module is set up by Ethernet interface and is connected with the network communication of remote monitoring terminal.The network monitoring diagnostic module then is confirmed to be networked monitoring target Monitoring Data that digital control system runnable interface, processing scene, device status monitoring module obtain or result and in 4 kinds of information of error analysis evaluation result of machine testing module.Software timing is grabbed the screen functional unit according to certain time interval, constantly obtains system's runnable interface image information, constantly is uploaded to remote monitoring terminal by the data buffer through communication module.At remote monitoring terminal, according to these images of resetting of the identical time interval, can long-range reproduction digital control system runnable interface.Processing scene monitoring means utilizes high-speed CCD camera floor operation scene, constantly is uploaded to remote monitoring terminal by the data buffer through communication module.Monitoring Data or result that on-the-spot physical state remote diagnostics unit obtains through internal system bus access device status monitoring module, and in the measurement data and the error analysis evaluation result of machine testing module, and related data is uploaded to the remote monitoring diagnostic terminal through communication module.
Above-mentioned 4 kinds of monitor messages are respectively remote monitoring diagnostic provides different information sources, can implement overall monitor to operation condition in site.Remote monitoring terminal can send the request of landing at any time and carry out remote monitoring.Digital control system network monitoring policy unit is responsible for response and is landed request, and remote monitoring diagnostic finishes the diagnosis of back receiving remote terminal feedback and is stored in remote diagnosis conclusion memory block.The monitoring target also chosen according to remote terminal of network monitoring policy unit simultaneously adopts synchronous handover mechanism to guarantee that a remote terminal synchronization at most only monitors a kind of object.
(3) the integrated mechanism of digital control system of fusion status monitoring and networked comprehensively monitoring diagnosis is achieved in that
Described digital control system has been expanded on-the-spot multiple physical states monitoring and networked remote monitoring diagnostic function except that finishing the motion control function to lathe that traditional digital control system has.Digital control system mainly is divided into main control module, motion-control module, communication module, device status monitoring module, in machine testing module and network monitoring diagnostic module 6 major parts.Main control module is core with the high-performance microprocessor, finish tasks such as system initialization, parameter management, global data management, overall tasks coordination, man-machine interaction management, motor program error detection, lathe adjustment, User Defined functional development, system help, and the fault handling measure of responsive state monitoring modular.Motion-control module is core with the high-speed dsp, by the motor program and the configuration parameter that download in this module FLASH storer, can independently finish the relevant control function of lathe action such as motor program decoding, cutter compensation, pitch compensation, interpolation, servocontrol, PLC control.The shared primary processor of communication module and main control module is finished the transmission control of RS232 interface, USB interface and Ethernet interface, for other module provides the remote communicating function support.The device status monitoring module, multiple physical state classification monitoring system for handling and multiple object network comprehensively monitoring diagnosis system feature that digital control system self is possessed have then been embodied respectively at machine testing module and network monitoring diagnostic module.User command is sent by main control module, and except that the order that main control module self can respond, all the other orders are automatically forwarded to corresponding module through the internal system bus and handle.The synthetic operation of each module has realized merging the integrated mechanism of digital control system of status monitoring and the diagnosis of networked comprehensively monitoring.
Below in conjunction with embodiment and description of drawings technical scheme of the present invention is elaborated.
Device status monitoring module 3 mainly comprises signals collecting and analytic unit 5-1, electric state monitoring means 5-2 and jump signal monitoring means 53.Task is monitored in parallel enforcement separately between each unit.The electric state monitoring means rely on its high-speed cruising in the port monitoring facilities on system backstage through each electrical port state of system bus 1 cycle detection.Electric state monitoring means inner index, signal implication, treatment measures and the help information of response policy library storage sorts of systems limiter stage signal fast.If monitoring a certain port status takes place unusual, the message response mechanism of triggering system, the electric state monitoring means is inquired about quick response policy storehouse with call number, submits warning, mistake, danger, shutdown level Four treatment measures through system bus to the digital control system main control module; Simultaneously, comprise the signal source, time of origin, the treatment measures of having taked are recorded in system constraint level signal log at this interior signal attribute.For stationary signal, continuously monitor corresponding physical quantity by sensor array 2, be that the collection of core and analytic unit are independently finished continuous acquisition and the conventional characteristic quantity analysis to these physical quantity signals with DSP, and have intelligent algorithm in the FLASH chip of expert knowledge library and fuzzy policy library to finish signal condition identification to calculate by the call unit storage inside with parameters optimization, simultaneously by the digital control system internal bus to the main control module data of reporting the result.For jump signal, the vision feedforward device that Photoelectric infrared switch constitutes carries out the motion collision early warning, and its input signal is through system digits IO circuit, by the circulatory monitoring routine processes of high-speed cruising in the jump signal monitoring means in the system backstage.Jump signal for can't early warning utilizes damper and redundant device that jump signal is converted into safe stationary signal.The jump signal result is through digital control system internal bus notice main control module.The jump signal attribute of the treatment measures of comprise signal source, time of origin, having taked is recorded in the jump signal daily record.
The detection of workpiece to be machined geological information is by realizing in machine testing module 3.Select Reinshaw ruby contact-type 3 D gauge head 22 for use.Gauge head is imported process of measurement in the sign amount signal triggering geological information measuring unit 5-1, obtains the current measurement point actual coordinate of feedback from motion-control module through system bus.All measurement points measure the back measurement data will be admitted to error evaluation unit 5-2.All measurement point measurement data and error evaluation element analysis result are kept in the machine testing memory block with the daily record form.
Remote monitoring terminal can send the request of landing at any time to carry out remote monitoring or sends diagnostic message.The network monitoring policy unit 7-4 response telnet request of network monitoring diagnostic module 7, and judge and land purpose.If land the connection purpose is to send diagnostic result, and diagnostic message storage unit 7-5 receives and also preserves the remote diagnosis object information.Otherwise, further judge which kind of signal of monitoring.If monitoring system runnable interface, software timing are grabbed screen unit 7-2 according to certain time interval, constantly obtain system's runnable interface image information, constantly be uploaded to remote monitoring terminal by the data buffer through communication module.Otherwise if monitoring processing scene, processing scene monitoring means 7-1 utilizes high-speed CCD camera 23 floors operation scene, constantly is uploaded to remote monitoring terminal by the data buffer through communication module.Otherwise, if monitor equipment status, Monitoring Data or result that on-the-spot physical state remote diagnostics unit 7-3 obtains through internal system bus 1 access means monitoring module, and related data is uploaded to the remote monitoring diagnostic terminal through communication module.Otherwise if the monitoring workpiece geological information, on-the-spot physical state remote diagnostics unit is through measurement data and the error analysis evaluation result of internal system bus access in the machine testing module, and related data is uploaded to the remote monitoring diagnostic terminal through communication module.
Described digital control system mainly is divided into main control module 2, motion-control module 3, communication module 4, device status monitoring module 5, at machine testing module 6 and network monitoring diagnostic module 7 several sections.Adopting high-speed dsp respectively except that motion-control module and collection and analytic unit is the individual cores processor, and remainder and main control module are shared high-performance microprocessor.Each intermodule is realized funcall and data transmission through 1 link of internal system bus.The synthetic operation of each module can realize the monitoring optimizing of the motion control of lathe and on-the-spot multiple physical states and networked remote monitoring diagnostic.
Claims (2)
1, a kind of multiple physical states monitoring optimizing and remote synthetic diagnose intelligent numerical control system is characterized in that, comprising:
Main control module, respectively with system bus with motion-control module, communication module, device status monitoring module, be connected in machine testing module and network monitoring diagnostic module, main control module is a core with the high-performance microprocessor, is used to finish system initialization, parameter management, global data management, overall tasks coordination, man-machine interaction management, motor program error detection, lathe adjustment, User Defined functional development, system help task;
Motion-control module, motion-control module is core with the high-speed dsp, by the motor program and the configuration parameter that download in this module FLASH storer, independently finish and the relevant control of lathe action, the control relevant with the lathe action comprises motor program decoding, cutter compensation, pitch compensation, interpolation, servocontrol, PLC control;
In the machine testing module, comprise geological information measuring unit, error evaluation unit, in the machine testing memory block, the geological information measuring unit links to each other with three dimensional probe, 3-D probe, system bus, error evaluation unit respectively, and geological information measuring unit, error evaluation unit link to each other respectively with in the machine testing memory block;
The device status monitoring module, comprise signals collecting and analytic unit, electric state monitoring means, jump signal monitoring means, the electric state monitoring means links to each other with each electrical port respectively, signals collecting links to each other with the stationary signal sensor with analytic unit, be provided with Photoelectric infrared switch and constitute vision feedforward device, its output signal connects circulatory monitoring routine processes module through system digits IO circuit, be provided with the jump signal that processing can't early warning, by the safety buffer that damper and redundant device combine and be built into, safety buffer is connected to main control module through bus;
The network monitoring diagnostic module comprises processing scene monitoring means, software timing is grabbed the screen unit, on-the-spot physical state remote diagnostics unit, the network monitoring policy unit, the diagnostic message storage unit, the network monitoring policy unit links to each other with remote monitoring terminal, the network monitoring policy unit is also grabbed the screen unit with software timing respectively, on-the-spot physical state remote diagnostics unit, processing scene monitoring means links to each other, processing scene monitoring means links to each other with field high-speed CCD camera, software timing is grabbed the screen unit, processing scene monitoring means is connected to remote monitoring terminal by the data buffer through communication module respectively, on-the-spot physical state remote diagnostics unit connected system bus, on-the-spot physical state remote diagnostics unit also connects the remote monitoring diagnostic terminal through communication module;
The shared primary processor of communication module and main control module further comprises RS232 interface chip and interface, USB interface chip and interface, Ethernet interface chip and interface.
2, a kind of multiple physical states monitoring optimizing according to claim 1 and remote synthetic diagnose intelligent numerical control system, it is characterized in that, described signals collecting links to each other with the stationary signal sensor with analytic unit, with DSP is that core is equipped with high capacity SDRAM and the FLASH chip makes up signals collecting and analytic unit, SDRAM is in order to keep internal program operation required memory space, unit, and as the buffer area of each passage image data, the system intelligence policy library that the FLASH storage can repeatedly be downloaded, signals collecting and analytic unit are configured to 2 to 32 passages on demand, be equipped with all kinds of steady signal transducer arrays of front end and finish the continuous acquisition of machining state signal, machining state signal involving vibrations, cutting force, acoustic emission, temperature, current of electric, line voltage, signals collecting and analytic unit are finished the conventional Characteristic Extraction of signal by the special chip that is solidified with the classical signals analysis means, signals collecting and analytic unit are finished signal condition identification by expert knowledge library that FLASH stores and fuzzy policy library and are calculated with parameters optimization, and signals collecting links to each other with main control module by the digital control system internal bus with analytic unit.
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Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5079878B2 (en) | 2008-05-30 | 2012-11-21 | 東芝三菱電機産業システム株式会社 | Remote monitoring device |
| CN101753333B (en) * | 2008-11-28 | 2012-07-04 | 中华电信股份有限公司 | Management system for integrated information security service and the protection method thereof |
| DE102009027267A1 (en) * | 2009-06-29 | 2010-12-30 | Trumpf Werkzeugmaschinen Gmbh + Co. Kg | Method and device for simplified error processing on a machine tool |
| CN101587497B (en) * | 2009-07-02 | 2010-12-01 | 同济大学 | Embedded service function data acquisition unit of numerical control system |
| CN102087515B (en) * | 2009-12-04 | 2012-12-12 | 上海电气集团股份有限公司 | Numerical control system with remote monitoring function and control method thereof |
| CN101738982B (en) * | 2009-12-10 | 2012-01-04 | 沈阳飞机工业（集团）有限公司 | Airplane complex construction member roughing unit automatic building method |
| CN102592016B (en) * | 2011-12-31 | 2013-09-04 | 英特工程仿真技术（大连）有限公司 | Engineering multiphysics coupling analysis method |
| CN102636138B (en) * | 2012-05-01 | 2014-07-16 | 南京西巨电子技术有限公司 | Extensible modular non-contact displacement sensor system |
| CN110262425A (en) * | 2019-06-27 | 2019-09-20 | 湖北汽车工业学院 | A kind of induction heating dcs |
| EP3792716B1 (en) * | 2019-09-13 | 2022-11-09 | Siemens Aktiengesellschaft | Numerical control with buffering of load setpoints |
| DE102020004841A1 (en) * | 2020-08-07 | 2022-02-10 | Mettler-Toledo Gmbh | Method and device for determining an observable property of an object |
| CN112284736B (en) * | 2020-10-23 | 2022-02-01 | 天津大学 | Convolutional neural network fault diagnosis method based on multi-channel attention module |
-
2007
- 2007-10-17 CN CNB2007100598975A patent/CN100480921C/en active Active
Non-Patent Citations (2)
| Title |
|---|
| 嵌入式网络化机床监测诊断系统的研究与实现. 邓辉，王太勇等.机床与液压，第7期. 2006 |
| 嵌入式网络化机床监测诊断系统的研究与实现. 邓辉，王太勇等.机床与液压，第7期. 2006 * |
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