CN110362037A - A kind of integrated maintenance system platform for numerically-controlled machine tool - Google Patents
A kind of integrated maintenance system platform for numerically-controlled machine tool Download PDFInfo
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- CN110362037A CN110362037A CN201910602737.3A CN201910602737A CN110362037A CN 110362037 A CN110362037 A CN 110362037A CN 201910602737 A CN201910602737 A CN 201910602737A CN 110362037 A CN110362037 A CN 110362037A
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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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Abstract
The invention discloses a kind of integrated maintenance system platforms for numerically-controlled machine tool, are designed using complete five layer architecture；Wherein physical layer is attached by collecting cassette and controller of digital controlled machine tool, is acquired to equipment operating parameter；Linking layer realizes acquisition using things-internet gateway IOTGateWay, and data upload to accumulation layer by the 4G/5G module integrated on collecting cassette, support all kinds of industrial data communications protocol；Accumulation layer is realized to the centrally stored of the collected data of each terminal and processing；Analysis layer is processed the data of server end by set algorithm and model, to meet foreground application demand；Application layer provide the equipment running status that APP application is realized on mobile terminal check, the functions such as on-line maintenance, KnowledgeBase-query, statistical analysis.Integrated maintenance system platform covering data for numerically-controlled machine tool of the invention collect the complete application scene that Cloud Server arrives industrial APP again, support to carry out all kinds of mainstream numerical control devices access and operation and maintenance.
Description
Technical field
The invention belongs to message areas, and in particular to a kind of integrated maintenance system platform for numerically-controlled machine tool is suitable for
The maintenance and service of NC lathing, numerical control machining center and the equipment with control device.
Background technique
" machine-tool " of the numerically-controlled machine tool as equipment manufacture, " made in China " 2025 manufacture numerically-controlled machine tool and basis
The strategy that equipment industry is classified as Chinese manufacturing must strive one of field.The annual sales volume of domestic all kinds of numerical control devices reaches 300,000
Platform or so, and the numerical control degree of annual newly added equipment is continuously improved.Currently, these equipment are as separate unit in enterprises
Operation, lacks the long-range O&M means of services, existing maintenance and method of servicing more tested in device context, monitor and
Maintenance.
Chinese patent 20151053292.2 discloses a kind of diagnosing faults of numerical control machine method based on grading forewarning system, specially
Li quanren proposes the diagnosing faults of numerical control machine method based on grading forewarning system, including acquisition lathe information, data processing and parameter
The methods of extract, judge failure, failure analyze, establish accident analysis rule, definition warning grade.Basis in patent
The failure actually occurred during lathe work, establishes the case library of failure symptom and failure cause, is determined with to machine failure
Preferable directive function.The development of present technology, the control system of a large amount of numerically-controlled machine tool can export more accurate
Fault code is just able to achieve, failure so that fault diagnosis no longer needs sensor acquisition and external case library to carry out parameter matching
The emphasis of diagnosis is transferred to the novel maintenance level under environment of internet of things.
Summary of the invention
Goal of the invention: in view of the deficiencies of the prior art, it is an object of that present invention to provide a kind of synthesis for numerically-controlled machine tool
Maintenance system platform, covering data collect the complete application scene that Cloud Server arrives industrial APP again, support to all kinds of mainstream numbers
Control equipment carries out access and operation and maintenance.
Technical solution: for achieving the above object, a kind of integrated maintenance system for numerically-controlled machine tool of the present invention
System platform, is designed, including physical layer, linking layer, accumulation layer, analysis layer and application layer using complete five layer architecture；
The physical layer includes all kinds of numerical control devices that system can be managed, by collecting cassette and controller of digital controlled machine tool into
Row connection, equipment operating parameter is acquired, the data of acquisition include: conditions of machine tool, control shaft, numerical control program, alarm with
Basic data of the running log as remote maintenance passes through serial ports/network interface for not having the traditional equipment of data transmission capabilities
Or additional sensor carries out data acquisition；
The linking layer realizes acquisition using things-internet gateway IOTGateWay, and data pass through 4G/ integrated on collecting cassette
5G module uploads to accumulation layer, the industrial data communications protocol of support include ModBus, ProfiBus, MQTT, OPC-UA,
MTConnect；The collecting cassette realizes there is data processing computing capability based on raspberry pie, is carrying out conversion process to signal
After upload；
The accumulation layer realizes that data storage is using number in real time to the centrally stored of the collected data of each terminal and processing
According to library Redis, data persistence uses expansible database MongoDB；
The analysis layer is processed the data of server end by set algorithm and model, meets foreground application
Demand, support are alarmed according to the threshold value and fault model of setting, industry knowledge base setting are supported, on data analysis foundation
Carry out intelligent diagnostics, multi-specialized linkage analysis and trend prediction.
The application layer provides APP application and realizes that mobile terminal carries out equipment running status and checks that on-line maintenance knowledge base is looked into
It askes, supports online progress maintenance process processing and statistical analysis.
Preferably, the collecting cassette using raspberry pie as mainboard, is equipped with power module and 4G/5G communication module, passes through
Mainboard I/O is attached with equipment, realizes data processing locality and upload.
Preferably, the analysis layer establishes machine maintenance knowledge base, the maintenance and generation of knowledge base content are supported；Pass through
Integrated Tenserflow, supports machine learning, realizes big data analysis.
Preferably, the application layer APP includes following functional module:
Equipment on-line monitoring: using the operating status and parameter of chart and digital real-time display equipment, such as the speed of mainshaft, master
The data such as axis driving current, feeding axle speed.
Equipment operating statistic: to equipment for a period of time in operation data it is for statistical analysis, provide summarize it is graphical
Show report, such as equipment Results validity data.
Equipment fault notice: the fault-signal issued for equipment is shown processing, is warned at the end APP.Especially
Ground carries out early warning prompting to equipment fault according to threshold value setting and fault model.
Breakdown maintenance guidance: equipment user of service can pass through knowledge by APP query service end equipment fault knowledge library
Explanation in library carries out self-maintain to equipment, and holding equipment producer is updated knowledge base.
Plant maintenance application: equipment user of service can submit maintenance of equipment application by APP, fill in equipment fault description
Information is supported to submit failure to illustrate by upload mode of taking pictures.
Customer satisfaction survey: holding equipment producer provides customer survey questionnaire by APP, supports to interrogate exchanging from the background
Volume is counted.
The utility model has the advantages that compared with prior art, the present invention has the advantage that
1: complete five layers of frame design, covering data collect Cloud Server and arrive industrial APP again completely answers using design
With support carries out access and operation and maintenance to all kinds of mainstream numerical control devices.
2: plant maintenance knowledge base and document library are established in background server, plant maintenance and operations staff can carry out
KnowledgeBase-query instructs work.
3: model library can be established according to numerically-controlled machine tool application model, carry out operating status point in conjunction with lathe real time execution parameter
Analysis provides equipment alarm and warning information, realizes preventive maintenance.
4: providing machine maintenance relevant professional APP, the dimension supported the operation conditions monitoring on mobile terminal, support mobile terminal
It repairs flow processing, support mobile terminal user investigation.
Detailed description of the invention
Fig. 1 is numerically-controlled machine tool integrated maintenance system platform feature schematic diagram.
Fig. 2 is five layer architecture figures of numerically-controlled machine tool integrated maintenance system platform.
Fig. 3 is numerically-controlled machine tool operating parameter watch on-line screenshot.
Fig. 4 is Numerically controlled machine O&M user investigation software screenshot.
Specific embodiment
Combined with specific embodiments below, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate the present invention
Rather than limit the scope of the invention, after the present invention has been read, those skilled in the art are to various equivalences of the invention
The modification of form falls within the application range as defined in the appended claims.
As shown in Figure 1, a kind of integrated maintenance system platform for numerically-controlled machine tool disclosed by the embodiments of the present invention by from
Devices collect data is analyzed and processed in podium level, in application offer equipment operating statistic, equipment on-line detection, is set
The functions such as standby failure notification, breakdown maintenance guidance, plant maintenance application, customer satisfaction survey, are promoted for equipment manufacturer
After-sale service improves product quality and provides support, user is helped to reinforce the management of product.
Numerically-controlled machine tool integrated maintenance system platform mainly includes following part:
1: supporting the numerically-controlled machine tool acquisition terminal (physical layer) of 4G/5G data transmission；
2: the method (linking layer) that all kinds of controller protocols are parsed and handled；
3: storing the Cloud Server (accumulation layer) with processing for back-end data；
4: operating in the decision model and algorithm (analysis layer) on Cloud Server；
5: the industrial APP (application layer) of a set of operation NC Machine oriented integrated maintenance
As shown in Fig. 2, system body Functional Design is as follows:
Physical layer:
Physical layer includes all kinds of numerical control devices, including numerically controlled lathe, machining center etc. that system can be managed, and system passes through
Collecting cassette is attached with controller of digital controlled machine tool.The controller that collecting cassette can be supported includes Siemens, FANUC, Mitsubishi, China
The mainstreams controllers such as middle numerical control, Guangzhou numerical control.For not having the traditional equipment of data transmission capabilities, serial ports/net can be passed through
Mouth or additional sensor carry out data acquisition.
By being deployed in the collecting cassette of numerically-controlled machine tool, it is attached with machine tool control system, equipment operating parameter is carried out
Acquisition, the parameter of acquisition can be set by user, and acquisition parameter generally includes: conditions of machine tool (operating status, operation mode
Deng)；Control shaft (main shaft load, the speed of mainshaft, main shaft drives electric current, feeding axle speed, feed shaft opposite/absolute coordinate etc.)；
Numerical control program (NC program name, time started, number of run etc.)；Alarm and running log (alarm code, time, content
Deng).Basic data of the above content as remote maintenance.
The collecting cassette of designed, designed has power module and 4G/5G communication module, passes through mainboard using raspberry pie as mainboard
I/O is attached with equipment, has the characteristics that cost performance is high, versatile.Sampled data passes through 4G/5G integrated on collecting cassette
Module uploads to data management platform, is stored in the implementation database of backstage.
Linking layer:
The things-internet gateway IOTGateWay that linking layer provides designed, designed realizes data collection, and sampled data passes through acquisition
The 4G/5G module integrated on box uploads to accumulation layer, the industrial data communications protocol of support include: ModBus ProfiBus
The mainstreams communications protocol such as MQTT OPC-UA MTConnect.For the signal of serial ports/network interface or sensor transmissions, it is based on raspberry
The collecting cassette of group provides edge calculations ability, uploads after carrying out conversion process to signal.
Accumulation layer:
Accumulation layer is realized to the centrally stored of the collected data of each terminal and processing.Data storage uses real-time data base
(Redis), meet quick storage requirement.Data persistence uses expansible database (MongoDB), supports data storage clothes
Business device horizontal segmentation, meets big data memory requirement.Real time data is set using data sampling period in storing process, is gone
Make an uproar, qualitative modeling etc. is compressed and is handled, to reduce the memory space of data occupancy.
Analysis layer:
Data analysis is processed the data of server end by set algorithm and model, meets foreground application need
It asks.Support is alarmed according to the threshold value and fault model of setting.Set by backstage knowledge base, carry out intelligent diagnostics, mostly specially
Industry linkage analysis and trend prediction.
Machine maintenance knowledge base is established, supports the maintenance and generation of knowledge base content.
Analysis layer supports machine learning, realizes big data analysis by integrating Tenserflow.
Application layer:
Integrated maintenance APP provides types of applications, supports mobile terminal to carry out equipment running status and check, on-line maintenance is supported to know
Know library inquiry, supports online progress maintenance process processing, support statistical analysis.Specific functional modules are as follows:
Equipment on-line monitoring: using the operating status and parameter of chart and digital real-time display equipment, such as the speed of mainshaft, master
The data such as axis driving current, feeding axle speed.
Equipment operating statistic: to equipment for a period of time in operation data it is for statistical analysis, provide summarize it is graphical
Show report, such as equipment Results validity data.
Equipment fault notice: the fault-signal issued for equipment is shown processing, is warned at the end APP.Especially
Ground carries out early warning prompting to equipment fault according to threshold value setting and fault model.
Breakdown maintenance guidance: equipment user of service can pass through knowledge by APP query service end equipment fault knowledge library
Explanation in library carries out self-maintain to equipment, and holding equipment producer is updated knowledge base.
Plant maintenance application: equipment user of service can submit maintenance of equipment application by APP, fill in equipment fault description
Information is supported to submit failure to illustrate by upload mode of taking pictures.
Customer satisfaction survey: holding equipment producer provides customer survey questionnaire by APP, supports to interrogate exchanging from the background
Volume is counted.
Claims (4)
1. a kind of integrated maintenance system platform for numerically-controlled machine tool, which is characterized in that the system platform uses complete five
Layer architecture design, including physical layer, linking layer, accumulation layer, analysis layer and application layer；
The physical layer includes all kinds of numerical control devices that system can be managed, and is connected by collecting cassette and controller of digital controlled machine tool
It connects, equipment operating parameter is acquired, the data of acquisition include: conditions of machine tool, control shaft, numerical control program, alarm and operation
Basic data of the log as remote maintenance, for not having the traditional equipment of data transmission capabilities, by serial ports/network interface or
Additional sensor carries out data acquisition；
The linking layer realizes acquisition using things-internet gateway IOTGateWay, and data pass through 4G/5G mould integrated on collecting cassette
Block uploads to accumulation layer, the industrial data communications protocol of support include ModBus, ProfiBus, MQTT, OPC-UA,
MTConnect；The collecting cassette realizes there is data processing computing capability based on raspberry pie, is carrying out conversion process to signal
After upload；
The accumulation layer realizes that, to the centrally stored of the collected data of each terminal and processing, data storage uses real-time data base
Redis, data persistence use expansible database MongoDB；
The analysis layer is processed the data of server end by set algorithm and model, meets foreground application need
It asks, support is alarmed according to the threshold value and fault model of setting, supports industry knowledge base setting, enterprising in data analysis foundation
Row intelligent diagnostics, multi-specialized linkage analysis and trend prediction；
The application layer provides APP application and realizes that the equipment running status on mobile terminal is checked, on-line maintenance, KnowledgeBase-query
Function supports online progress maintenance process processing and statistical analysis.
2. a kind of integrated maintenance system platform for numerically-controlled machine tool according to claim 1, which is characterized in that described to adopt
Collect box using raspberry pie as mainboard, is equipped with power module and 4G/5G communication module, is attached by mainboard I/O with equipment, it is real
Existing data processing locality and upload.
3. a kind of integrated maintenance system platform for numerically-controlled machine tool according to claim 1, which is characterized in that described point
Analysis layer establishes machine maintenance knowledge base, supports the maintenance and generation of knowledge base content；By integrating Tenserflow, machine is supported
Big data analysis is realized in study.
4. a kind of integrated maintenance system platform for numerically-controlled machine tool according to claim 1, which is characterized in that described to answer
Include following functional module with layer APP:
Equipment on-line monitoring: using the operating status and parameter of chart and digital real-time display equipment；
Equipment operating statistic: it is for statistical analysis to equipment operation data interior for a period of time, provide the graphical representation summarized
Report；
Equipment fault notice: the fault-signal issued for equipment is shown processing, is warned at the end APP；
Breakdown maintenance guidance: equipment user of service can be by APP query service end equipment fault knowledge library, by knowledge base
Explanation self-maintain is carried out to equipment, holding equipment producer is updated knowledge base；
Plant maintenance application: equipment user of service can submit maintenance of equipment application by APP, fill in equipment fault description letter
Breath is supported to submit failure to illustrate by upload mode of taking pictures；
Customer satisfaction survey: holding equipment producer provides customer survey questionnaire by APP, supports to involve in exchanging to interrogate from the background
Row statistics.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110865608A (en) * | 2019-11-21 | 2020-03-06 | 武夷学院 | Reconfigurable manufacturing system |
| CN111623830A (en) * | 2020-06-11 | 2020-09-04 | 深圳技术大学 | Method, device and system for monitoring operation state of electromechanical equipment |
| CN111897296A (en) * | 2020-07-08 | 2020-11-06 | 中国电子科技集团公司第四十一研究所 | Intelligent management system for industrial production line based on 5G communication |
| CN111953783A (en) * | 2020-08-14 | 2020-11-17 | 赫谱信息技术有限公司 | Data acquisition and analysis system and method for warehousing and transportation equipment |
| CN112000551A (en) * | 2020-08-25 | 2020-11-27 | 上海控软网络科技有限公司 | Machine tool monitoring method, device, system, electronic device and storage medium |
| CN112000553A (en) * | 2020-08-25 | 2020-11-27 | 上海控软网络科技有限公司 | Machine tool monitoring method and device, electronic device and storage medium |
| CN112488784A (en) * | 2020-11-26 | 2021-03-12 | 上海维宏智能技术有限公司 | System for realizing lease management control of numerical control machine tool based on industrial internet platform |
| CN113313456A (en) * | 2020-02-27 | 2021-08-27 | 东北大学秦皇岛分校 | Intelligent management/control/maintenance cloud platform architecture for sintering production process flow |
| CN113885458A (en) * | 2021-10-20 | 2022-01-04 | 江苏中安智信通信科技股份有限公司 | Data acquisition and monitoring system based on Internet of things |
| CN114089690A (en) * | 2021-10-25 | 2022-02-25 | 西北工业大学 | Edge computing device and method for workshop monitoring |
| CN115933537A (en) * | 2022-12-11 | 2023-04-07 | 西北工业大学 | Multi-level cognitive model of digit control machine tool |
| CN116540633A (en) * | 2023-07-05 | 2023-08-04 | 中科航迈数控软件(深圳)有限公司 | Machine tool debugging method, machine tool debugging device, terminal equipment and computer readable storage medium |
| CN116661375A (en) * | 2023-08-02 | 2023-08-29 | 济南森峰激光科技股份有限公司 | Numerical control roll lathe grinding test method, system, terminal and storage medium |
| CN117055470A (en) * | 2023-09-22 | 2023-11-14 | 隆昌精机有限公司 | Intelligent Internet of things docking system applied to numerical control equipment |
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| CN111623830A (en) * | 2020-06-11 | 2020-09-04 | 深圳技术大学 | Method, device and system for monitoring operation state of electromechanical equipment |
| CN111897296A (en) * | 2020-07-08 | 2020-11-06 | 中国电子科技集团公司第四十一研究所 | Intelligent management system for industrial production line based on 5G communication |
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| CN112488784A (en) * | 2020-11-26 | 2021-03-12 | 上海维宏智能技术有限公司 | System for realizing lease management control of numerical control machine tool based on industrial internet platform |
| CN113885458A (en) * | 2021-10-20 | 2022-01-04 | 江苏中安智信通信科技股份有限公司 | Data acquisition and monitoring system based on Internet of things |
| CN114089690A (en) * | 2021-10-25 | 2022-02-25 | 西北工业大学 | Edge computing device and method for workshop monitoring |
| CN114089690B (en) * | 2021-10-25 | 2022-05-31 | 西北工业大学 | Edge computing device and method for workshop monitoring |
| CN115933537A (en) * | 2022-12-11 | 2023-04-07 | 西北工业大学 | Multi-level cognitive model of digit control machine tool |
| CN116540633A (en) * | 2023-07-05 | 2023-08-04 | 中科航迈数控软件(深圳)有限公司 | Machine tool debugging method, machine tool debugging device, terminal equipment and computer readable storage medium |
| CN116540633B (en) * | 2023-07-05 | 2023-09-29 | 中科航迈数控软件(深圳)有限公司 | Machine tool debugging method, machine tool debugging device, terminal equipment and computer readable storage medium |
| CN116661375A (en) * | 2023-08-02 | 2023-08-29 | 济南森峰激光科技股份有限公司 | Numerical control roll lathe grinding test method, system, terminal and storage medium |
| CN117055470A (en) * | 2023-09-22 | 2023-11-14 | 隆昌精机有限公司 | Intelligent Internet of things docking system applied to numerical control equipment |
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