CN111596616A - CNC main shaft state monitoring and analysis system based on thing networking - Google Patents
CNC main shaft state monitoring and analysis system based on thing networking Download PDFInfo
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- CN111596616A CN111596616A CN201910127656.2A CN201910127656A CN111596616A CN 111596616 A CN111596616 A CN 111596616A CN 201910127656 A CN201910127656 A CN 201910127656A CN 111596616 A CN111596616 A CN 111596616A
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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
- G05B19/4065—Monitoring tool breakage, life or condition
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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
- G05B19/414—Structure of the control system, e.g. common controller or multiprocessor systems, interface to servo, programmable interface controller
- G05B19/4141—Structure of the control system, e.g. common controller or multiprocessor systems, interface to servo, programmable interface controller characterised by a controller or microprocessor per axis
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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
- G05B2219/34—Director, elements to supervisory
- G05B2219/34427—Diagnostic, monitoring incorporated in controller
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Abstract
The invention discloses a CNC (computer numerical control) main shaft state monitoring and analyzing system based on the Internet of things, and belongs to the technical field of CNC monitoring and analyzing. The invention solves the problems of single type of information, limited information quantity and over-high requirement on the performance of a front-end processor, which are obtained by the existing CNC spindle state monitoring and analyzing system. A CNC main shaft state monitoring and analyzing system based on the Internet of things comprises a data acquisition unit, an intelligent control unit and a cloud system platform. The data acquisition unit includes: the device comprises an acceleration detection module, a current detection module, a displacement detection module and a temperature detection module; the intelligent control unit comprises an intelligent microcontroller and a communication module; the cloud system platform comprises a database module and an equipment monitoring and analyzing module. The method can improve the monitoring efficiency of the CNC spindle state, remarkably improve the fault analysis accuracy of the system and reduce the production cost.
Description
Technical Field
The invention belongs to the technical field of CNC overhaul and maintenance, and particularly relates to a CNC spindle state monitoring and analyzing system based on the Internet of things.
Background
With the development of science and technology and the improvement of manufacturing process, especially the appearance of advanced cutters, the development of machine tool performance is greatly promoted, and the rotation precision, static rigidity, vibration resistance, thermal deformation, low-speed motion stability and the like of the machine tool are greatly improved. But at the same time, because the high-speed precise main shaft bearing of the machine tool often operates under complex working conditions of high temperature, high rotating speed, high load and the like,
the main shaft can be inevitably out of order, so that the machine tool can not normally complete the production task, thereby seriously affecting the production efficiency. With the coming of the internet of things era, new development opportunities are brought to the monitoring and analysis of the state of the CNC spindle.
The traditional CNC spindle state monitoring mainly takes on-site detection of maintenance personnel, the method is low in efficiency, the problems can be found only by seriously depending on experience of the maintenance personnel and fault detection and diagnosis capabilities, usually, certain defects are generated inside the spindle, the problems existing in equipment cannot be found in time in advance, the maintenance time is long, the output efficiency of a factory is seriously limited, and the production cost is increased. In addition, some CNC spindle state monitoring and analyzing systems based on the Internet of things are available, the systems usually adopt a computer as an analysis core and adopt a wired communication mode, the defects of single information type, limited information amount, low anti-interference capability and the like acquired by a single sensor exist, and the system is not suitable for severe workshop environments and cannot deeply mine data information.
Disclosure of Invention
Aiming at the problems of the existing CNC spindle state monitoring and analyzing system, the invention provides the CNC spindle state monitoring and analyzing system based on the Internet of things.
The invention is realized by adopting the following technical scheme.
A CNC main shaft state monitoring and analysis system based on thing networking includes: data acquisition unit, intelligent control unit, cloud system platform.
The data acquisition unit comprises four modules of an acceleration detection module, a current detection module, a displacement detection module and a temperature detection module, wherein the acceleration detection module is used for detecting acceleration information of the spindle and comprises 1 acceleration sensor and 1 acceleration signal processing circuit, and the acceleration sensor is connected with the intelligent microcontroller through the acceleration signal processing circuit; the current detection module is used for collecting current data of the spindle during working and comprises 1 current sensor and 1 current signal processing circuit, wherein the current sensor is connected with the intelligent microcontroller through the current signal processing circuit; the displacement detection module is used for collecting vibration phase information of the spindle during working and comprises 1 displacement sensor and 1 displacement signal processing circuit, wherein the displacement sensor is connected with the intelligent microcontroller through the displacement signal processing circuit; the temperature detection module is used for detecting the temperature of the spindle and comprises 1 temperature sensor and 1 temperature signal processing circuit, and the temperature sensor is connected with the intelligent microcontroller through the temperature signal processing circuit.
The intelligent control unit comprises an intelligent microcontroller and a communication module, the intelligent microcontroller is used for controlling the data acquisition module to realize data acquisition, the communication module is used for uploading acquired data information to the cloud system platform in a wifi communication mode, and the intelligent microcontroller is connected with the cloud system platform through the communication module.
The cloud system platform comprises a database module and an equipment monitoring and analyzing module. The database module comprises a data storage server and a computer, so that acceleration data, current data, displacement data, temperature data and vibration data of the CNC spindle in a real-time machining state, which are acquired by data detection equipment, can be stored in the database module, equipment maintenance personnel can inquire CNC operation historical data in the database at any time, and the operation condition of the CNC spindle is obtained according to analysis of the historical data; the equipment monitoring and analyzing module comprises a data analyzing server and is used for analyzing and processing the acquired data, monitoring and analyzing the operation state of the CNC main shaft in real time and generating an analysis report of the operation state of the equipment.
The CNC spindle state monitoring and analyzing system based on the Internet of things is realized by adopting the following steps:
s1, acquiring acceleration information, current information, displacement information and temperature information of the CNC spindle in a working state through a data acquisition unit, converting the information into electric signals through a corresponding signal processing circuit, and sending the electric signals to an intelligent microcontroller;
s2, after receiving the acquired data information, the intelligent microcontroller in the intelligent control module transmits the data information to the cloud system platform through the communication module in a wifi communication mode;
s3, the cloud system platform stores the received data in a database module, so that the query of equipment maintenance personnel is facilitated; and the monitoring and analyzing module analyzes the data information in the database module by using internal software of the data analysis server to generate an analysis report of the running state of the equipment.
Compared with the prior art, the technical scheme provided by the invention has the following advantages:
1) the defects of single type and limited information quantity of information acquired by a single sensor can be overcome by acquiring four data information of acceleration, current, displacement and temperature of the CNC spindle state as analysis and judgment bases;
2) by adopting a communication mode based on the Internet of things, the advantages of high wifi communication speed and strong anti-interference capability are fully exerted, and the limitation of the traditional wired communication mode is overcome;
3) the cloud system platform is arranged, the CNC spindle working state database is established, the equipment monitoring and analyzing module is arranged, the storage and analyzing functions of data are transferred to the server, data access is convenient, cloud monitoring and analysis are achieved, performance requirements on front-end detection equipment are lowered, and therefore cost of the system is lowered.
Drawings
FIG. 1 is a block diagram of a CNC spindle condition monitoring and analysis system based on the Internet of things;
fig. 2 is a work flow diagram of a CNC spindle state monitoring and analyzing system based on the internet of things.
Detailed Description
The invention is further described below with reference to the accompanying drawings and examples:
as shown in fig. 1, a CNC spindle state monitoring and analyzing system based on internet of things includes: data acquisition unit, intelligent control unit, cloud system platform.
The data acquisition unit comprises four modules of an acceleration detection module, a current detection module, a displacement detection module and a temperature detection module, wherein the acceleration detection module is used for detecting acceleration information of the spindle and comprises 1 acceleration sensor and 1 acceleration signal processing circuit, and the acceleration sensor is connected with the intelligent microcontroller through the acceleration signal processing circuit; the current detection module is used for collecting current data of the spindle during working and comprises 1 current sensor and 1 current signal processing circuit, wherein the current sensor is connected with the intelligent microcontroller through the current signal processing circuit; the displacement detection module is used for collecting vibration phase information of the spindle during working and comprises 1 displacement sensor and 1 displacement signal processing circuit, wherein the displacement sensor is connected with the intelligent microcontroller through the displacement signal processing circuit; the temperature detection module is used for detecting the temperature of the spindle and comprises 1 temperature sensor and 1 temperature signal processing circuit, and the temperature sensor is connected with the intelligent microcontroller through the temperature signal processing circuit.
The intelligent control unit comprises an intelligent microcontroller and a communication module, the intelligent microcontroller is used for controlling the data acquisition module to realize data acquisition, the communication module is used for uploading acquired data information to the cloud system platform in a wifi communication mode, and the intelligent microcontroller is connected with the cloud system platform through the communication module.
The cloud system platform comprises a database module and an equipment monitoring and analyzing module. The database module comprises a data storage server and a computer, so that acceleration data, current data, displacement data, temperature data and vibration data of the CNC spindle in a real-time machining state, which are acquired by data detection equipment, can be stored in the database module, equipment maintenance personnel can inquire CNC operation historical data in the database at any time, and the operation condition of the CNC spindle is obtained according to analysis of the historical data; the equipment monitoring and analyzing module comprises a data analyzing server and is used for analyzing and processing the acquired data, monitoring and analyzing the operation state of the CNC main shaft in real time and generating an analysis report of the operation state of the equipment.
As shown in fig. 2, the work flow diagram of the CNC spindle state monitoring and analyzing system based on the internet of things is implemented by the following steps:
s1, acquiring acceleration information, current information, displacement information and temperature information of the CNC spindle in a working state through a data acquisition unit, converting the information into electric signals through a corresponding signal processing circuit, and sending the electric signals to an intelligent microcontroller;
s2, after receiving the acquired data information, the intelligent microcontroller in the intelligent control module transmits the data information to the cloud system platform through the communication module in a wifi communication mode;
s3, the cloud system platform stores the received data in a database module, so that the query of equipment maintenance personnel is facilitated; and the monitoring and analyzing module analyzes the data information in the database module by using internal software of the data analysis server to generate an analysis report of the running state of the equipment.
Claims (2)
1. The utility model provides a CNC main shaft state monitoring and analytic system based on thing networking which characterized in that: the system comprises: the system comprises a data acquisition unit, an intelligent control unit and a cloud system platform, wherein the data acquisition unit comprises four modules, namely an acceleration detection module, a current detection module, a displacement detection module and a temperature detection module, the acceleration detection module is used for detecting acceleration information of a spindle and comprises 1 acceleration sensor and 1 acceleration signal processing circuit, and the acceleration sensor is connected with an intelligent microcontroller through the acceleration signal processing circuit; the current detection module is used for collecting current data of the spindle during working and comprises 1 current sensor and 1 current signal processing circuit, wherein the current sensor is connected with the intelligent microcontroller through the current signal processing circuit; the displacement detection module is used for collecting vibration phase information of the spindle during working and comprises 1 displacement sensor and 1 displacement signal processing circuit, wherein the displacement sensor is connected with the intelligent microcontroller through the displacement signal processing circuit; the temperature detection module is used for detecting the temperature of the spindle and comprises 1 temperature sensor and 1 temperature signal processing circuit, wherein the temperature sensor is connected with the intelligent microcontroller through the temperature signal processing circuit;
the intelligent control unit comprises an intelligent microcontroller and a communication module, the intelligent microcontroller is used for controlling the data acquisition module to realize data acquisition, the communication module is used for uploading acquired data information to the cloud system platform in a wifi communication mode, and the intelligent microcontroller is connected with the cloud system platform through the communication module;
the cloud system platform comprises a database module and an equipment monitoring and analyzing module;
the database module comprises a data storage server and a computer, so that acceleration data, current data, displacement data and temperature data of the CNC spindle, which are acquired by data detection equipment, in a real-time machining state can be stored in the database module, equipment maintenance personnel can inquire CNC operation historical data in the database at any time, and the operation condition of the CNC spindle is obtained according to analysis of the historical data; the equipment monitoring and analyzing module comprises a data analyzing server and is used for analyzing and processing the acquired data, monitoring and analyzing the operation state of the CNC main shaft in real time and generating an analysis report of the operation state of the equipment.
2. The internet-of-things-based CNC spindle state monitoring and analyzing system of claim 1, wherein: the method is realized by adopting the following steps:
s1, acquiring acceleration information, current information, displacement information and temperature information of the CNC spindle in a working state through a data acquisition unit, converting the information into electric signals through a corresponding signal processing circuit, and sending the electric signals to an intelligent microcontroller;
s2, after receiving the acquired data information, the intelligent microcontroller in the intelligent control module transmits the data information to the cloud system platform through the communication module in a wifi communication mode;
s3, the cloud system platform stores the received data in a database module, so that the query of equipment maintenance personnel is facilitated; and the monitoring and analyzing module analyzes the data information in the database module by using internal software of the data analysis server to generate an analysis report of the running state of the equipment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910127656.2A CN111596616A (en) | 2019-02-20 | 2019-02-20 | CNC main shaft state monitoring and analysis system based on thing networking |
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| CN201910127656.2A CN111596616A (en) | 2019-02-20 | 2019-02-20 | CNC main shaft state monitoring and analysis system based on thing networking |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105081879A (en) * | 2015-08-27 | 2015-11-25 | 成都飞机工业（集团）有限责任公司 | Fault diagnosis and prediction method for numerical control machine tool spindle |
| CN205301966U (en) * | 2015-11-30 | 2016-06-08 | 林紫晴 | Digit control machine tool remote control ware based on thing networking |
| CN105785961A (en) * | 2016-05-17 | 2016-07-20 | 中国科学技术大学 | Forging press machine operation condition information acquisition and analysis system based on the internet of things technology |
| CN106406231A (en) * | 2016-06-07 | 2017-02-15 | 西安交通大学 | Machine tool spindle intelligent online monitoring and integration diagnosis system based on Internet |
| CN108663988A (en) * | 2018-05-31 | 2018-10-16 | 深圳市鑫汇达机械设计有限公司 | Numerically-controlled machine tool intelligent monitor system based on Internet of Things |
-
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- 2019-02-20 CN CN201910127656.2A patent/CN111596616A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105081879A (en) * | 2015-08-27 | 2015-11-25 | 成都飞机工业（集团）有限责任公司 | Fault diagnosis and prediction method for numerical control machine tool spindle |
| CN205301966U (en) * | 2015-11-30 | 2016-06-08 | 林紫晴 | Digit control machine tool remote control ware based on thing networking |
| CN105785961A (en) * | 2016-05-17 | 2016-07-20 | 中国科学技术大学 | Forging press machine operation condition information acquisition and analysis system based on the internet of things technology |
| CN106406231A (en) * | 2016-06-07 | 2017-02-15 | 西安交通大学 | Machine tool spindle intelligent online monitoring and integration diagnosis system based on Internet |
| CN108663988A (en) * | 2018-05-31 | 2018-10-16 | 深圳市鑫汇达机械设计有限公司 | Numerically-controlled machine tool intelligent monitor system based on Internet of Things |
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