CN118051023A - Machine tool equipment data edge computing system - Google Patents
Machine tool equipment data edge computing system Download PDFInfo
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Abstract
The invention provides a machine tool equipment data edge computing system, belongs to the field of numerical control machine tool equipment, and solves the problems of single function, poor stability and safety and the like of the existing edge computing system. The system comprises a sensor and monitoring device, a data acquisition module, a data transmission module, a data processing module, a data storage module, an edge computing framework module, a data analysis module, a real-time decision and response module, a remote monitoring and control module, a network management and safety privacy protection module and a network edge interconnection and intercommunication module which are arranged close to or embedded in machine tool equipment, and further comprises a system domain module. The invention can effectively collect various parameters and data of the numerical control machine tool, stably transmit, rapidly process, store and manage, deploy the application program to the edge equipment according to the requirement, monitor and manage the running state of the application, perform real-time analysis, make real-time decision and response, perform remote monitoring and control, and perform network management and security privacy protection.
Description
Technical Field
The invention belongs to the technical field of numerical control machine tool equipment, and relates to a machine tool equipment data edge computing system.
Background
Machine tools refer to machines for manufacturing machines, and are generally classified into metal cutting machines, forging machines, woodworking machines, and the like. In modern machine manufacturing, a plurality of machining methods for mechanical parts include casting, forging, welding, stamping, extruding and the like besides cutting, so that the machining method generally needs to carry out final machining on a machine tool by a cutting method even though the machining method belongs to parts with high precision requirements and thin surface roughness requirements.
The fault diagnosis and maintenance of the numerical control machine tool are important components in the debugging and using processes of the numerical control machine tool, and are one of factors restricting the normal function of the numerical control machine tool. With the continuous development of technology, particularly the appearance of the Internet of things, the remote fault diagnosis of the numerical control machine tool is becoming reality. One of the important aspects of the remote numerical control machine tool diagnosis technology is a numerical control machine tool data acquisition and communication technology, which must solve the problems of acquisition of machine tool operation source data and network transmission of data, how to effectively acquire and transmit data, and is a problem to be solved in the current remote numerical control machine tool diagnosis technology.
The existing machine tool data acquisition and data storage space is small, the safety is low, the data processing speed is low, the wireless operation distance is short, and the remote fault diagnosis of a large number of machine tools can not be realized.
Therefore, we propose a machine tool equipment data edge computing system, which can effectively collect various parameters and data of a numerical control machine tool, stably transmit, rapidly process, store and manage, deploy application programs on edge equipment according to requirements, monitor and manage the running state of the application, conduct real-time analysis, make real-time decisions and responses, conduct remote monitoring and control, and conduct network management and security privacy protection.
Disclosure of Invention
The invention aims at solving the problems in the prior art, and provides a machine tool equipment data edge computing system, which aims at solving the technical problems that: how to realize effectively collecting various parameters and data of the numerical control machine tool, stably transmitting, rapidly processing, storing and managing, analyzing in real time, deciding and responding in real time, and being capable of carrying out remote monitoring and control, network management and security privacy protection.
The aim of the invention can be achieved by the following technical scheme:
A machine tool equipment data edge computing system comprises a sensor and monitoring equipment which are arranged close to or embedded in machine tool equipment, a data acquisition module, a data transmission module, a data processing module, a data storage module, an edge computing framework module, a data analysis module, a real-time decision and response module, a remote monitoring and control module, a network management and security privacy protection module and a network edge interconnection module, and further comprises a system domain module which is responsible for managing and coordinating the operation of each sub-module.
The working principle of the invention is as follows: the data acquisition module acquires various parameters and data of the numerical control machine tool in the machining process, such as machine tool state, spindle rotating speed, feeding speed, cutting depth and the like, by arranging a sensor and monitoring equipment which are close to or embedded into the machine tool equipment;
The data transmission module provides connection service for the system, so that stable and reliable data transmission and communication between the machine tool equipment and the edge computing system are ensured;
The data processing module performs preprocessing, such as filtering, denoising, alignment and the like, on the acquired data so as to improve the accuracy and usability of the data;
The data storage module stores the processed data into a database or storage device for subsequent analysis and utilization;
And the edge computing frame module builds a numerical control machine tool edge computing system to realize automation of data acquisition, processing and analysis.
The data analysis module performs real-time analysis, such as anomaly detection, pattern recognition and the like, on the acquired data so as to support optimization and regulation of the numerical control machine tool.
The real-time decision and response module automatically or manually intervenes to adjust the operation parameters or maintenance of the numerical control machine according to the data analysis result;
The remote monitoring and control module is used for remotely monitoring and controlling the numerical control machine tool equipment;
the network management and security privacy protection module manages and maintains network connection between the edge devices, monitors the state and performance of the network, and protects the security and privacy of the edge devices and data;
The network edge interconnection module realizes localized data storage and processing, remote maintenance is carried out on each machine tool, an edge computing node industrial intelligent Internet of things gateway is deployed on site, the bottom layer equipment is transversely interconnected and longitudinally interconnected with an upper layer system, and network overhead and background platform pressure are reduced.
The data acquisition module timely and accurately acquires various parameter data, analog signal data or digital signal data of the numerical control machine tool in the processing process, wherein the data comprise but are not limited to sensor data, monitoring data and video streams; the system domain module is the top layer of the whole edge computing system and is responsible for managing and coordinating the operation of each subsystem; the cloud computing system is not directly interacted with machine tool equipment, but is used as a distributed interconnection subsystem after cloud computing service subsidence.
With the above structure, the main task is to acquire data from machine tool equipment, including data of various sensors, actuators and the like; the data may be analog or digital and need to be converted and processed appropriately for edge calculation, specifically for machine tool state, spindle speed, feed speed and depth of cut.
The transmission mode of the data transmission module comprises a wired or wireless mode, including but not limited to Ethernet, WIFI or 4G/5G; and the system is provided with a connection service through mass connection, automatic operation and real-time connection, so that the stability and reliability of data transmission and communication between the machine tool equipment and the edge computing system are ensured.
With the structure, after the machine tool equipment data are acquired, the data are required to be transmitted to an edge computing node; the main task of this layer is to ensure the reliability and real-time of data transmission, and the data can be transmitted in a wired or wireless mode, and the specific mode needs to be selected according to the actual situation.
The data processing module comprises a data preprocessing subunit, a feature extraction subunit, an abnormality detection subunit and a pattern recognition subunit; the data preprocessing subunit preprocesses the acquired data in the modes including, but not limited to, data cleaning, data filtering, data denoising and data alignment.
With the structure, at the edge computing node, the transmitted data needs to be processed and analyzed; the layer can adopt various algorithms and tools to process data, and realize data preprocessing, feature extraction, anomaly detection and pattern recognition.
The data storage module provides data storage and management functions, and stores the processed data to a database, storage equipment or cloud for subsequent analysis and utilization, and manages the data in a management mode including but not limited to data encryption and access control.
With the structure, the edge computing system can store and manage the collected data, and store the data in a local or cloud for subsequent analysis and use; the edge computing system may also backup and restore data to ensure the security and reliability of the data.
The edge computing framework module builds an edge end platform of the machine tool equipment data edge computing system, deploys application programs on edge equipment according to requirements, monitors and manages running states of the application programs, and can also provide updating and upgrading of the application programs so as to keep stability and safety of the system, and meanwhile the edge end platform has expandability and maintainability.
By adopting the structure, an edge end platform of the numerical control machine tool equipment data edge computing system is built, automation of data acquisition, processing and analysis is realized, and simultaneously, the expandability and maintainability of the edge end platform also need to be considered.
The edge computing framework module comprises a periodic inspection subunit, a software updating subunit, a device control subunit, an automatic maintenance subunit, a data backup and recovery subunit, a safety protection subunit, a log analysis subunit, a user training and supporting subunit, a document management subunit and a continuous improvement subunit.
With the above structure, the periodic inspection subunit periodically inspects the software state and performance of the edge computing device, including system logs, error reports, network connections, etc., and performs necessary cleaning and maintenance on hardware;
the software updating subunit updates the software patch at any time to repair the known vulnerability and ensure the security of the edge computing device; furthermore, periodic updates of software may provide new functionality and improvements;
The device control subunit manages the edge device with the device control; the device control comprises remote control and configuration of the edge device; the edge computing platform can perform configuration, upgrading, remote execution and other operations on the edge equipment through equipment control, so that the edge equipment can be managed and maintained conveniently;
the edge computing equipment of the automatic maintenance subunit can set automatic maintenance tasks, such as cleaning a cache regularly, checking the state of hardware and the like, so as to reduce the need of manual intervention;
The data backup and recovery subunit periodically backs up the data on the edge end platform so as to prevent the data from being lost or damaged; when the data is recovered, the integrity and the accuracy of the data are ensured;
the security protection subunit takes necessary security measures, such as a firewall, an intrusion detection system, etc., to prevent malicious attacks and unauthorized access;
The log analysis subunit periodically analyzes the system log to detect possible abnormal behavior or performance problems;
The user training and supporting subunit provides training and technical support for the user, so that the user can correctly use and maintain the edge end platform;
The document management subunit keeps updating and maintaining related technical documents so as to quickly find a solution when a problem occurs;
The continuous improvement subunit continuously optimizes the performance and function of the edge platform according to the experience feedback of maintenance and management.
The data analysis module performs real-time intelligent analysis and decision making on the acquired data, wherein intelligent analysis content comprises but is not limited to anomaly detection and pattern recognition, and intelligent analysis methods comprise but are not limited to machine learning, deep learning and statistical analysis.
By adopting the structure, the collected data are analyzed in real time, such as anomaly detection, pattern recognition and the like, so as to support the optimization and regulation of the numerical control machine tool, and intelligent analysis and decision making are needed after the data processing is completed; this layer can employ various machine learning, deep learning, etc. techniques for data analysis and pattern recognition to facilitate predictive and normative decisions.
The real-time decision and response module makes real-time decisions and responses according to the collected data analysis results, analyzes and judges the data according to preset rules and algorithms, and makes corresponding decisions; and the operation parameters or maintenance of the numerical control machine tool are automatically or manually adjusted in an intervening way, so that the operation efficiency and the safety of the equipment are improved.
By adopting the structure, the operation parameters or maintenance of the numerical control machine tool are automatically or manually adjusted according to the data analysis result, so that the operation efficiency and the safety of the equipment are improved; and deploying and managing various edge applications, deploying application programs to the edge devices according to requirements, and monitoring and managing the running states of the applications.
The remote monitoring and control module is used for remotely monitoring and controlling the numerical control machine tool equipment, and control items include, but are not limited to, remote diagnosis, remote control and remote adjustment parameters.
By adopting the structure, the digital machine tool equipment is remotely monitored and controlled through the edge end platform, and the remote monitoring comprises remote diagnosis, remote control, remote parameter adjustment and the like.
The network management and security privacy protection module manages and maintains network connections between edge devices, monitors the status and performance of the network, performs fault diagnosis and repair, and can provide network security functions including, but not limited to, identity authentication, data encryption and access control to protect the security and privacy of edge devices and data.
With the above structure, network connection between the edge devices is managed and maintained; the system can monitor the state and performance of the network and perform fault diagnosis and repair; the edge computing system may also provide network security functions such as identity authentication, data encryption, and access control to secure edge devices and data.
The network edge interconnection module realizes the storage and processing of localized data, remote maintenance is carried out on each machine tool, an edge computing node industrial intelligent Internet of things gateway is deployed at the site level, the transverse interconnection of bottom equipment and the connection of the longitudinal interconnection with an upper layer system are realized, the production site data of the machine tools and the data from an industrial control system such as a PLC (programmable logic controller) and a historical database and the data from a process control system are converged, the edge processing of the data is carried out, and the network cost and the background platform pressure are reduced.
By adopting the structure, localized data storage and processing are realized; and each machine tool is remotely maintained, functions of remote diagnosis, remote control and the like are realized, the hidden trouble is locally predicted, potential faults are discovered in the first time, and the production shutdown risk is reduced.
Compared with the prior art, the machine tool equipment data edge computing system has the following advantages: various parameters and data of the numerical control machine tool in the machining process can be stably and effectively collected through the data collection module, and the stability of data transmission and communication between machine tool equipment and an edge computing system is ensured through the data transmission module;
Preprocessing the acquired data, such as filtering, denoising, alignment and the like, through a data processing module so as to improve the accuracy and usability of the data; the data preprocessing subunit is used for preprocessing the acquired data such as data cleaning, data filtering, data denoising, data alignment and the like;
the data storage module is used for providing data storage and management functions, storing the processed data to a database, storage equipment or a cloud end, and carrying out backup and recovery so as to ensure the safety and reliability of the data;
An edge end platform of a machine tool equipment data edge computing system is built through an edge computing framework module, application programs are deployed on edge equipment according to requirements, the running states of the application programs are monitored and managed, updating and upgrading of the application programs are provided to keep stability and safety of the system, meanwhile, the edge end platform has expandability and maintainability, and periodic inspection, software updating, equipment control, automatic maintenance, data backup and recovery, safety protection, log analysis, user training and support, document management and continuous improvement can be carried out;
The collected data is analyzed in real time through a data analysis module, such as anomaly detection, pattern recognition and the like, so as to support the optimization and regulation of the numerical control machine tool, and intelligent analysis and decision making are needed after the data processing is completed; the layer can adopt various machine learning, deep learning and other technologies to perform data analysis and pattern recognition so as to realize predictive and normative decisions;
The real-time decision and response module automatically or manually intervenes and adjusts the operation parameters or maintenance of the numerical control machine tool according to the data analysis result so as to improve the operation efficiency and the safety of the equipment; deploying and managing various edge applications, deploying application programs to edge equipment according to requirements, and monitoring and managing the running states of the applications;
The remote monitoring and control module and the network management and safety privacy protection module are matched for management, the edge end platform is used for carrying out remote monitoring and control on the numerical control machine tool equipment, monitoring the state and performance of a network, and carrying out fault diagnosis and repair, so that the network safety function can be provided.
Drawings
Fig. 1 is a block diagram of the module of the present invention.
Fig. 2 is a block diagram of the module details of the present invention.
FIG. 3 is a block diagram of a remote monitoring and control module in accordance with the present invention.
Fig. 4 is a block diagram of a network management and security privacy protection module in the present invention.
Detailed Description
The following are specific embodiments of the present invention and the technical solutions of the present invention will be further described with reference to the accompanying drawings, but the present invention is not limited to these embodiments.
As shown in fig. 1-4, the machine tool equipment data edge computing system comprises a sensor and monitoring equipment which are arranged close to or embedded in machine tool equipment, a data acquisition module, a data transmission module, a data processing module, a data storage module, an edge computing framework module, a data analysis module, a real-time decision and response module, a remote monitoring and control module, a network management and security privacy protection module and a network edge interconnection module, and further comprises a system domain module which is responsible for managing and coordinating the operation of each sub-module.
The data acquisition module acquires various parameters and data of the numerical control machine tool in the machining process, such as machine tool state, spindle rotating speed, feeding speed, cutting depth and the like, by arranging a sensor and monitoring equipment which are close to or embedded into the machine tool equipment;
The data transmission module provides connection service for the system, so that stable and reliable data transmission and communication between the machine tool equipment and the edge computing system are ensured;
The data processing module performs preprocessing, such as filtering, denoising, alignment and the like, on the acquired data so as to improve the accuracy and usability of the data;
The data storage module stores the processed data into a database or storage device for subsequent analysis and utilization;
And the edge computing frame module builds a numerical control machine tool edge computing system to realize automation of data acquisition, processing and analysis.
The data analysis module performs real-time analysis, such as anomaly detection, pattern recognition and the like, on the acquired data so as to support optimization and regulation of the numerical control machine tool.
The real-time decision and response module automatically or manually intervenes to adjust the operation parameters or maintenance of the numerical control machine according to the data analysis result;
The remote monitoring and control module is used for remotely monitoring and controlling the numerical control machine tool equipment;
the network management and security privacy protection module manages and maintains network connection between the edge devices, monitors the state and performance of the network, and protects the security and privacy of the edge devices and data;
The network edge interconnection module realizes localized data storage and processing, remote maintenance is carried out on each machine tool, an edge computing node industrial intelligent Internet of things gateway is deployed on site, the bottom layer equipment is transversely interconnected and longitudinally interconnected with an upper layer system, and network overhead and background platform pressure are reduced.
The data acquisition module timely and accurately acquires various parameter data, analog signal data or digital signal data of the numerical control machine tool in the processing process, wherein the data comprise but are not limited to sensor data, monitoring data and video streams; the system domain module is the top layer of the whole edge computing system and is responsible for managing and coordinating the operation of each subsystem; the cloud computing system is not directly interacted with machine tool equipment, but is used as a distributed interconnection subsystem after cloud computing service subsidence.
The main task is to acquire data from machine tool equipment, including data of various sensors, actuators and the like; the data may be analog or digital and need to be converted and processed appropriately for edge calculation, specifically for machine tool state, spindle speed, feed speed and depth of cut.
The transmission mode of the data transmission module comprises a wired or wireless mode, including but not limited to Ethernet, WIFI or 4G/5G; and the system is provided with a connection service through mass connection, automatic operation and real-time connection, so that the stability and reliability of data transmission and communication between the machine tool equipment and the edge computing system are ensured.
After the machine tool equipment data are acquired, the data need to be transmitted to an edge computing node; the main task of this layer is to ensure the reliability and real-time of data transmission, and the data can be transmitted in a wired or wireless mode, and the specific mode needs to be selected according to the actual situation.
The data processing module comprises a data preprocessing subunit, a feature extraction subunit, an abnormality detection subunit and a pattern recognition subunit; the data preprocessing subunit preprocesses the acquired data in the modes including, but not limited to, data cleaning, data filtering, data denoising and data alignment.
At the edge computing node, the transmitted data needs to be processed and analyzed; the layer can adopt various algorithms and tools to process data, and realize data preprocessing, feature extraction, anomaly detection and pattern recognition.
The data storage module provides data storage and management functions, and stores the processed data to a database, storage device or cloud for subsequent analysis and utilization, and manages the data in a manner including, but not limited to, data encryption and access control.
The edge computing system can store and manage the collected data, and store the data in a local or cloud for subsequent analysis and use; the edge computing system may also backup and restore data to ensure the security and reliability of the data.
The edge computing framework module builds an edge end platform of the machine tool equipment data edge computing system, deploys application programs on edge equipment according to requirements, monitors and manages running states of the application programs, and can also provide updating and upgrading of the application programs so as to keep stability and safety of the system.
And constructing an edge end platform of the numerical control machine tool equipment data edge computing system, realizing automation of data acquisition, processing and analysis, and simultaneously, considering the expandability and maintainability of the edge end platform.
The edge computing framework module includes a periodic inspection subunit, a software update subunit, a device control subunit, an automated maintenance subunit, a data backup and recovery subunit, a security protection subunit, a log analysis subunit, a user training and support subunit, a document management subunit, and a continuous improvement subunit.
The periodic inspection subunit periodically inspects the software state and performance of the edge computing device, including system logs, error reports, network connections, etc., and performs necessary cleaning and maintenance on hardware;
the software updating subunit updates the software patch at any time to repair the known vulnerability and ensure the security of the edge computing device; furthermore, periodic updates of software may provide new functionality and improvements;
The device control subunit manages the edge device with the device control; the device control comprises remote control and configuration of the edge device; the edge computing platform can perform configuration, upgrading, remote execution and other operations on the edge equipment through equipment control, so that the edge equipment can be managed and maintained conveniently;
the edge computing equipment of the automatic maintenance subunit can set automatic maintenance tasks, such as cleaning a cache regularly, checking the state of hardware and the like, so as to reduce the need of manual intervention;
The data backup and recovery subunit periodically backs up the data on the edge end platform so as to prevent the data from being lost or damaged; when the data is recovered, the integrity and the accuracy of the data are ensured;
the security protection subunit takes necessary security measures, such as a firewall, an intrusion detection system, etc., to prevent malicious attacks and unauthorized access;
The log analysis subunit periodically analyzes the system log to detect possible abnormal behavior or performance problems;
The user training and supporting subunit provides training and technical support for the user, so that the user can correctly use and maintain the edge end platform;
The document management subunit keeps updating and maintaining related technical documents so as to quickly find a solution when a problem occurs;
The continuous improvement subunit continuously optimizes the performance and function of the edge platform according to the experience feedback of maintenance and management.
The data analysis module performs real-time intelligent analysis and decision making on the acquired data, wherein intelligent analysis content comprises but is not limited to anomaly detection and pattern recognition, and intelligent analysis methods comprise but are not limited to machine learning, deep learning and statistical analysis.
Analyzing the acquired data in real time, such as anomaly detection, pattern recognition and the like, so as to support the optimization and regulation of the numerical control machine tool, wherein intelligent analysis and decision making are needed after the data processing is completed; this layer can employ various machine learning, deep learning, etc. techniques for data analysis and pattern recognition to facilitate predictive and normative decisions.
The real-time decision and response module makes real-time decisions and responses according to the collected data analysis results, analyzes and judges the data according to preset rules and algorithms, and makes corresponding decisions; and the operation parameters or maintenance of the numerical control machine tool are automatically or manually adjusted in an intervening way, so that the operation efficiency and the safety of the equipment are improved.
According to the data analysis result, the operation parameters or maintenance of the numerical control machine tool are automatically or manually adjusted to improve the operation efficiency and safety of the equipment; and deploying and managing various edge applications, deploying application programs to the edge devices according to requirements, and monitoring and managing the running states of the applications.
The remote monitoring and control module performs remote monitoring and control on the numerical control machine tool equipment, and control items include, but are not limited to, remote diagnosis, remote control and remote adjustment parameters.
And the edge end platform is used for carrying out remote monitoring and control on the numerical control machine tool equipment, including remote diagnosis, remote control, remote parameter adjustment and the like.
The network management and security privacy protection module manages and maintains network connections between edge devices, monitors the status and performance of the network, and performs fault diagnosis and repair, and may provide network security functions including, but not limited to, identity authentication, data encryption and access control to protect the security and privacy of edge devices and data.
Managing and maintaining network connections between edge devices; the system can monitor the state and performance of the network and perform fault diagnosis and repair; the edge computing system may also provide network security functions such as identity authentication, data encryption, and access control to secure edge devices and data.
The network edge interconnection module realizes the storage and processing of localized data, remote maintenance is carried out on each machine tool, an edge computing node industrial intelligent Internet of things gateway is deployed at the site level, the transverse interconnection of bottom equipment and the connection of the longitudinal interconnection with an upper layer system are realized, the production site data of the machine tools, the data from an industrial control system such as a PLC (programmable logic controller) and a historical database and the data from a process control system are converged, the edge processing of the data is carried out, and the network overhead and the background platform pressure are reduced.
Realizing localized data storage and processing; and each machine tool is remotely maintained, functions of remote diagnosis, remote control and the like are realized, the hidden trouble is locally predicted, potential faults are discovered in the first time, and the production shutdown risk is reduced.
The working principle of the invention is as follows: the data acquisition module acquires various parameters and data of the numerical control machine tool in the machining process, such as machine tool state, spindle rotating speed, feeding speed, cutting depth and the like, by arranging a sensor and monitoring equipment which are close to or embedded into the machine tool equipment; acquiring data from machine tool equipment, including data of various sensors, actuators and the like; the data can be analog signals or digital signals, and can be used for edge calculation after appropriate conversion and processing, wherein the specific contents are machine tool state, spindle rotating speed, feeding speed and cutting depth;
The data transmission module provides connection service for the system, so that stable and reliable data transmission and communication between the machine tool equipment and the edge computing system are ensured; after the machine tool equipment data are acquired, the data need to be transmitted to an edge computing node; the main task of the layer is to ensure the reliability and real-time performance of data transmission, and the data can be transmitted in a wired or wireless mode, and the specific mode needs to be selected according to actual conditions;
The data processing module performs preprocessing, such as filtering, denoising, alignment and the like, on the acquired data so as to improve the accuracy and usability of the data; at the edge computing node, the transmitted data needs to be processed and analyzed; the layer can adopt various algorithms and tools to process data, so as to realize data preprocessing, feature extraction, anomaly detection and pattern recognition;
the data storage module stores the processed data into a database or storage device for subsequent analysis and utilization; the edge computing system can store and manage the collected data, and store the data in a local or cloud for subsequent analysis and use; the edge computing system can also backup and restore the data so as to ensure the safety and reliability of the data;
The edge computing frame module builds a numerical control machine tool edge computing system to realize automation of data acquisition, processing and analysis; constructing an edge end platform of a numerical control machine tool equipment data edge computing system, realizing automation of data acquisition, processing and analysis, and simultaneously, considering the expandability and maintainability of the edge end platform;
The periodic inspection subunit periodically inspects the software state and performance of the edge computing device, including system logs, error reports, network connections, etc., and performs necessary cleaning and maintenance on hardware; the software updating subunit updates the software patch at any time to repair the known vulnerability and ensure the security of the edge computing device; furthermore, periodic updates of software may provide new functionality and improvements; the device control subunit manages the edge device with the device control; the device control comprises remote control and configuration of the edge device; the edge computing platform can perform configuration, upgrading, remote execution and other operations on the edge equipment through equipment control, so that the edge equipment can be managed and maintained conveniently; the edge computing equipment of the automatic maintenance subunit can set automatic maintenance tasks, such as cleaning a cache regularly, checking the state of hardware and the like, so as to reduce the need of manual intervention; the data backup and recovery subunit periodically backs up the data on the edge end platform so as to prevent the data from being lost or damaged; when the data is recovered, the integrity and the accuracy of the data are ensured; the security protection subunit takes necessary security measures, such as a firewall, an intrusion detection system, etc., to prevent malicious attacks and unauthorized access; the log analysis subunit periodically analyzes the system log to detect possible abnormal behavior or performance problems; the user training and supporting subunit provides training and technical support for the user, so that the user can correctly use and maintain the edge end platform; the document management subunit keeps updating and maintaining related technical documents so as to quickly find a solution when a problem occurs; the continuous improvement subunit continuously optimizes the performance and the function of the edge end platform according to experience feedback of maintenance and management;
the real-time decision and response module automatically or manually intervenes to adjust the operation parameters or maintenance of the numerical control machine according to the data analysis result; according to the data analysis result, the operation parameters or maintenance of the numerical control machine tool are automatically or manually adjusted to improve the operation efficiency and safety of the equipment; deploying and managing various edge applications, deploying application programs to edge equipment according to requirements, and monitoring and managing the running states of the applications; the edge computing system may also provide for updating and upgrading of applications to maintain system stability and security; according to the data analysis result, the operation parameters or maintenance of the numerical control machine tool are automatically or manually adjusted to improve the operation efficiency and safety of the equipment;
The remote monitoring and control module is used for remotely monitoring and controlling the numerical control machine tool equipment; the method comprises the steps of carrying out remote monitoring and control on the numerical control machine tool equipment through an edge end platform, wherein the remote monitoring and control comprises remote diagnosis, remote control, remote parameter adjustment and the like;
The network management and security privacy protection module manages and maintains network connection between the edge devices, monitors the state and performance of the network, and protects the security and privacy of the edge devices and data; managing and maintaining network connections between edge devices; the system can monitor the state and performance of the network and perform fault diagnosis and repair; the edge computing system may also provide network security functions such as identity authentication, data encryption, and access control to secure edge devices and data;
The network edge interconnection module realizes localized data storage and processing, remote maintenance is carried out on each machine tool, an edge computing node industrial intelligent Internet of things gateway is deployed at the site level, the transverse interconnection of bottom equipment and the longitudinal interconnection connection with an upper layer system are realized, and the network overhead and the background platform pressure are reduced; realizing localized data storage and processing; and each machine tool is remotely maintained, functions of remote diagnosis, remote control and the like are realized, the hidden trouble is locally predicted, potential faults are discovered in the first time, and the production shutdown risk is reduced.
In conclusion, various parameters and data of the numerical control machine tool in the machining process can be stably and effectively collected through the data collection module, and stability of data transmission and communication between machine tool equipment and an edge computing system is ensured through the data transmission module;
Preprocessing the acquired data, such as filtering, denoising, alignment and the like, through a data processing module so as to improve the accuracy and usability of the data; the data preprocessing subunit is used for preprocessing the acquired data such as data cleaning, data filtering, data denoising, data alignment and the like;
the data storage module is used for providing data storage and management functions, storing the processed data to a database, storage equipment or a cloud end, and carrying out backup and recovery so as to ensure the safety and reliability of the data;
An edge end platform of a machine tool equipment data edge computing system is built through an edge computing framework module, application programs are deployed on edge equipment according to requirements, the running states of the application programs are monitored and managed, updating and upgrading of the application programs are provided to keep stability and safety of the system, meanwhile, the edge end platform has expandability and maintainability, and periodic inspection, software updating, equipment control, automatic maintenance, data backup and recovery, safety protection, log analysis, user training and support, document management and continuous improvement can be carried out;
The collected data is analyzed in real time through a data analysis module, such as anomaly detection, pattern recognition and the like, so as to support the optimization and regulation of the numerical control machine tool, and intelligent analysis and decision making are needed after the data processing is completed; the layer can adopt various machine learning, deep learning and other technologies to perform data analysis and pattern recognition so as to realize predictive and normative decisions;
The real-time decision and response module automatically or manually intervenes and adjusts the operation parameters or maintenance of the numerical control machine tool according to the data analysis result so as to improve the operation efficiency and the safety of the equipment; deploying and managing various edge applications, deploying application programs to edge equipment according to requirements, and monitoring and managing the running states of the applications;
The remote monitoring and control module and the network management and safety privacy protection module are matched for management, the edge end platform is used for carrying out remote monitoring and control on the numerical control machine tool equipment, monitoring the state and performance of a network, and carrying out fault diagnosis and repair, so that the network safety function can be provided.
The specific embodiments described herein are offered by way of example only to illustrate the spirit of the invention. Those skilled in the art may make various modifications or additions to the described embodiments or substitutions thereof without departing from the spirit of the invention or exceeding the scope of the invention as defined in the accompanying claims.
Claims (10)
1. The machine tool equipment data edge computing system is characterized by comprising a sensor and monitoring equipment which are arranged close to or embedded in machine tool equipment, a data acquisition module, a data transmission module, a data processing module, a data storage module, an edge computing framework module, a data analysis module, a real-time decision and response module, a remote monitoring and control module, a network management and security privacy protection module and a network edge interconnection and intercommunication module, and further comprising a system domain module which is responsible for managing and coordinating the operation of each sub-module.
2. The machine tool equipment data edge computing system according to claim 1, wherein the data acquisition module timely and accurately acquires various parameter data, analog signal data or digital signal data of the numerical control machine tool in the machining process, wherein the data comprise but are not limited to sensor data, monitoring data and video streams; the system domain module is the top layer of the whole edge computing system and is responsible for managing and coordinating the operation of each subsystem; the cloud computing system is not directly interacted with machine tool equipment, but is used as a distributed interconnection subsystem after cloud computing service subsidence.
3. A machine tool equipment data edge computing system according to claim 1 or 2, wherein the transmission mode of the data transmission module comprises a wired or wireless mode, including but not limited to ethernet, WIFI or 4G/5G; and the system is provided with a connection service through mass connection, automatic operation and real-time connection, so that the stability and reliability of data transmission and communication between the machine tool equipment and the edge computing system are ensured.
4. A machine tool equipment data edge computing system according to claim 3, wherein the data processing module comprises a data preprocessing subunit, a feature extraction subunit, an anomaly detection subunit, and a pattern recognition subunit; the data preprocessing subunit preprocesses the acquired data in the modes including, but not limited to, data cleaning, data filtering, data denoising and data alignment.
5. A machine tool equipment data edge computing system according to claim 4, wherein the data storage module provides data storage and management functions, and stores the processed data in a database, storage device or cloud for subsequent analysis and use, and manages the data in ways including, but not limited to, data encryption and access control.
6. The edge computing system of machine tool equipment data according to claim 5, wherein the edge computing framework module builds an edge end platform of the machine tool equipment data edge computing system, deploys application programs on edge equipment according to requirements, monitors and manages running states of the application programs, and can provide updating and upgrading of the application programs to maintain stability and safety of the system, and meanwhile the edge end platform has expandability and maintainability; the data analysis module performs real-time intelligent analysis and decision making on the acquired data, wherein intelligent analysis content comprises but is not limited to anomaly detection and pattern recognition, and intelligent analysis methods comprise but are not limited to machine learning, deep learning and statistical analysis.
7. The machine tool equipment data edge computing system according to claim 6, wherein the real-time decision and response module makes real-time decisions and responses according to collected data analysis results, analyzes and judges data according to preset rules and algorithms, and makes corresponding decisions; and the operation parameters or maintenance of the numerical control machine tool are automatically or manually adjusted in an intervening way, so that the operation efficiency and the safety of the equipment are improved.
8. A machine tool equipment data edge computing system according to claim 7, wherein the remote monitoring and control module remotely monitors and controls the machine tool equipment, the control items including but not limited to remote diagnostics, remote control and remote adjustment parameters.
9. A machine tool equipment data edge computing system according to claim 8, wherein the network management and security privacy protection module manages and maintains network connections between edge devices, monitors the status and performance of the network, and performs fault diagnosis and repair, providing network security functions including, but not limited to, authentication, data encryption and access control to protect the security and privacy of edge devices and data.
10. The machine tool equipment data edge computing system according to claim 9, wherein the network edge interconnection module is used for realizing localized data storage and processing, remotely maintaining each machine tool, deploying an edge computing node industrial intelligent internet of things gateway at a field level, realizing transverse interconnection of bottom equipment and connection with upper layer system longitudinal intercommunication, converging machine tool production field data and data from industrial control systems such as a PLC (programmable logic controller) and a historical database and process control system, carrying out edge processing on the data, and reducing network overhead and background platform pressure.
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