Numerical control machine tool operation safety supervision control system based on multi-source data fusion analysis

Abstract

The invention discloses a numerical control machine tool operation safety supervision control system based on multi-source data fusion analysis. The system comprises a data acquisition layer S1, a data preprocessing layer S2, a data fusion layer S3, an analysis and diagnosis layer S4, an early warning intervention layer S5 and a visual display layer S6. According to the invention, a multi-source data fusion technology is used, data, such as vibration, temperature, pressure, current, voltage and optics, from different sensors and from different sources can be integrated, and omnibearing and multi-angle data acquisition is realized. Meanwhile, potential safety hazards and fault modes can be identified more accurately by means of advanced data processing and analysis algorithms, and real-time monitoring and intelligent diagnosis can be performed on the operation state of the numerical control machine tool by utilizing artificial intelligence technologies such as machine learning and deep learning based on multi-source data fusion analysis. By constructing the fault prediction model, potential faults can be found in advance and early warning can be given, so that the faults are prevented from occurring or the fault influence is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of a numerical control machine tool operation safety supervision and control system based on multi-source data fusion analysis, in particular to a numerical control machine tool operation safety supervision and control system based on multi-source data fusion analysis. Background Technique

[0002] With the rapid development of Industry 4.0 and intelligent manufacturing, as the core equipment of intelligent manufacturing, the operation safety and efficiency of numerical control machine tools have become the focus of enterprises. As a key component in the field of modern intelligent manufacturing, the numerical control machine tool monitoring and management system realizes real-time monitoring and efficient management of the whole life cycle of numerical control machine tools by integrating a variety of advanced technologies;

[0003] However, the traditional numerical control machine tool operation safety supervision and control system often relies on a single sensor or data source for data collection during use. The data dimension is limited, and the processing ability is weak. It is difficult to cope with complex and changeable operation environments and fault modes. Moreover, fault diagnosis mostly relies on manual experience and simple threshold judgment, lacking intelligent diagnosis means, with limited prediction ability, and it is difficult to detect and handle potential faults in time. Due to the limitations of data collection and processing capabilities, there are often problems of insufficient real-time performance and low accuracy, and it is difficult to provide users with timely and accurate operation safety information. In addition, the level of intelligence and automation is low, requiring a lot of manual intervention and manual operations, with low work efficiency and easy to make mistakes. The user interface is often not friendly enough, the information display method is single and not intuitive enough, and it is difficult to meet the diverse needs of users for the operation safety supervision of numerical control machine tools.

[0004] Therefore, we propose a numerical control machine tool operation safety supervision and control system based on multi-source data fusion analysis to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a numerical control machine tool operation safety supervision and control system based on multi-source data fusion analysis. By using multi-source data fusion technology, it can integrate data from different sensors and different sources, such as vibration, temperature, pressure, current, voltage, optics, etc., to achieve all-round and multi-angle data collection. At the same time, with the help of advanced data processing and analysis algorithms, it can more accurately identify potential safety hazards and fault modes. And based on multi-source data fusion analysis, it can use artificial intelligence technologies such as machine learning and deep learning to monitor and intelligently diagnose the operation status of numerical control machine tools in real time. By constructing a fault prediction model, it can discover potential faults in advance and give early warnings to avoid the occurrence of faults or reduce the impact of faults, so as to solve the problems raised in the above background technique.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] Numerical control machine tool operation safety supervision and control system based on multi-source data fusion analysis. The system includes the following steps:

[0008] S1. Data acquisition layer: Responsible for collecting real-time operation data from various sensors, actuators and other components of the numerical control machine tool. These data include signals collected by various sensors;

[0009] S2. Data preprocessing layer: Performs cleaning, denoising, and compression preprocessing operations on the collected raw data to improve the quality and usability of the data;

[0010] S3. Data fusion layer: Adopts advanced data fusion algorithms to organically fuse data from different sources to form a comprehensive and accurate data view. This layer is the core of the system, which determines the accuracy and reliability of the system's assessment of the numerical control machine tool operation status;

[0011] S4. Analysis and diagnosis layer: Based on the fused data, uses intelligent algorithms to analyze and diagnose the operation status of the numerical control machine tool. The system can automatically identify potential safety hazards and fault types and give corresponding treatment suggestions;

[0012] S5. Early warning and intervention layer: When the system detects potential safety hazards or faults, it will automatically trigger the early warning mechanism and send early warning information to relevant personnel. At the same time, the system can also automatically take intervention measures according to preset rules and strategies to avoid the further expansion of faults;

[0013] S6. Visualization display layer: Displays the results of analysis and diagnosis in a graphical and visual way, facilitating relevant personnel to intuitively understand the operation status and fault conditions of the numerical control machine tool.

[0014] Numerical control machine tool operation safety supervision and control system based on multi-source data fusion analysis, including the numerical control machine tool main body and the monitoring host. Inside the monitoring host, a temperature sensor, a vibration sensor, a displacement sensor, a pressure sensor, a voltage sensor, an optical sensor, and an acceleration sensor are installed. On one side of the monitoring host, an analysis screen is installed, and an alarm lamp is set at the upper end.

[0015] Numerical control machine tool operation safety supervision and control system based on multi-source data fusion analysis. The steps of the system are implemented based on the following technical foundations.

[0016] S7. Multi-source data fusion technology: This technology can organically fuse data from different sources to form a comprehensive and accurate data view, which helps to improve the accuracy and reliability of the system's assessment of the numerical control machine tool operation status;

[0017] S8, Intelligent Algorithm: The system adopts advanced intelligent algorithms to analyze and diagnose the operating status of CNC machine tools. These algorithms can automatically identify potential safety hazards and types of faults and give corresponding treatment suggestions;

[0018] S9, Real-time Data Processing Technology: The system can process various data from CNC machine tools in real time to ensure real-time monitoring and accurate evaluation of the operating status of CNC machine tools;

[0019] S10, Visualization Technology: The results of analysis and diagnosis are presented in a graphical and visual way, facilitating relevant personnel to intuitively understand the operating status and fault conditions of CNC machine tools.

[0020] In a further embodiment, S1 includes a temperature sensor, a vibration sensor, a displacement sensor, a pressure sensor, a voltage sensor, an optical sensor, and an acceleration sensor, which are connected to various components of the CNC machine tool body.

[0021] In a further embodiment, S2 is set in the monitoring host and runs based on S8 through sensors.

[0022] In a further embodiment, S3, S4, and S6 are displayed on the analysis screen based on S9.

[0023] In a further embodiment, S6 is installed in the analysis screen and runs based on S1.

[0024] In a further embodiment, S5 is installed in the monitoring host and connected to the alarm light.

[0025] In a further embodiment, the temperature sensor is installed at the spindle box, motor, and bearing of the CNC machine tool body; the vibration sensor is installed in the spindle box, workbench, and tool clamping device of the CNC machine tool body; the displacement sensor is installed in the tool feeding mechanism and workpiece moving platform of the CNC machine tool body; the pressure sensor is installed in the hydraulic cylinder, pneumatic cylinder, and hydraulic pump of the CNC machine tool body; the voltage sensor is installed inside the electrical control cabinet of the CNC machine tool body; the optical sensor is installed in the machining area of the CNC machine tool body; the acceleration sensor is installed in the spindle box, workbench, and tool clamping device of the CNC machine tool body.

[0026] Compared with the prior art, the beneficial effects of the present invention are:

[0027] I. The present invention uses multi-source data fusion technology to integrate data from different sensors and different sources, such as vibration, temperature, pressure, current, voltage, optics, etc., to achieve all-round and multi-angle data acquisition. At the same time, with the help of advanced data processing and analysis algorithms, it can more accurately identify potential safety hazards and fault modes. And based on multi-source data fusion analysis, it can use artificial intelligence technologies such as machine learning and deep learning to monitor the operating state of the numerically controlled machine tool in real time and perform intelligent diagnosis. By constructing a fault prediction model, potential faults can be detected in advance and warnings can be given to avoid the occurrence of faults or reduce the impact of faults.

[0028] II. The present invention adopts high-speed data acquisition and real-time processing technology to ensure the real-time and accuracy of data. At the same time, through multi-source data fusion analysis, the accuracy and reliability of the diagnosis results can be further improved. By integrating advanced technologies such as the Internet of Things, cloud computing, and big data, the intelligent and automated supervision of the operation safety of the numerically controlled machine tool is realized. It can automatically complete tasks such as data acquisition, processing, analysis, and warning, greatly reducing the need for manual intervention, improving work efficiency and accuracy, and providing rich user interfaces and visualization display means such as bar charts, pie charts, line charts, etc., which can intuitively display information such as the operating state, fault information, and warning results of the numerically controlled machine tool. At the same time, it also supports access and remote control functions of multiple terminal devices, improving the user experience and convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 FIG. is a schematic diagram of the overall structure of a numerically controlled machine tool operation safety supervision and control system based on multi-source data fusion analysis;

[0030] Figure 2 FIG. is a schematic diagram of the structure of the monitoring host of a numerically controlled machine tool operation safety supervision and control system based on multi-source data fusion analysis.

[0031] In the figure: 1, numerically controlled machine tool main body; 2, monitoring host; 3, temperature sensor; 4, vibration sensor; 5, displacement sensor; 6, pressure sensor; 7, voltage sensor; 8, optical sensor; 9, acceleration sensor; 10, analysis screen; 11, alarm lamp. DETAILED DESCRIPTION OF THE INVENTION

[0032] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0033] In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, the terms "mounted", "connected", "coupled" shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood through specific circumstances.

[0034] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0035] Please refer to Figure 1-2, A CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis, including a CNC machine tool main body 1 and a monitoring host 2. In the monitoring host 2, there is an S2 data preprocessing layer. This S2 data preprocessing layer uses advanced data fusion algorithms to organically fuse data from different sources, forming a comprehensive and accurate data view. Combining with the temperature sensor 3, vibration sensor 4, displacement sensor 5, pressure sensor 6, and voltage sensor 7 in the S1 data acquisition layer, the data monitored at various locations is transmitted to the monitoring host 2 for pre-analysis. Thus, during analysis, through the operation of S8 intelligent algorithms, advanced intelligent algorithms are used to analyze and diagnose the operating state of the CNC machine tool. These algorithms can automatically identify potential safety hazards and fault types and make preprocessing. During preprocessing, it is transmitted from the monitoring host 2 to the analysis screen 10. At this time, the S9 real-time data processing technology in the analysis screen 10 processes various types of data from the CNC machine tool;

[0036] And in the analysis screen 10, there is an S10 visualization technology. This S10 visualization technology displays the results of analysis and diagnosis in a graphical and visual way. The received data source is analyzed and diagnosed for the operating state of the CNC machine tool through the intelligent algorithms in the S4 analysis and diagnosis layer. At the same time, combined with the S3 data fusion layer using advanced data fusion algorithms, the data from different sources are organically fused to form a comprehensive and accurate data view for further analysis. The analyzed data is combined with the S7 multi-source data fusion technology to organically fuse the data from different sources, forming a comprehensive and accurate data view. This data is displayed on the analysis screen 10 through the S6 visualization display layer. When the system detects potential safety hazards or faults, the S5 warning and intervention layer issues an alarm, activates the alarm light 11 to send a warning message to relevant personnel for manual processing.

[0037] The working principle of the present invention is as follows: As shown in the figure, it includes a CNC machine tool main body 1 and a monitoring host 2. In the monitoring host 2, there is an S2 data preprocessing layer. This S2 data preprocessing layer uses advanced data fusion algorithms to organically fuse data from different sources, forming a comprehensive and accurate data view. Combining with the temperature sensor 3, vibration sensor 4, displacement sensor 5, pressure sensor 6, and voltage sensor 7 in the S1 data acquisition layer, the data monitored at various locations is transmitted to the monitoring host 2 for pre-analysis. Thus, during analysis, through the operation of S8 intelligent algorithms, advanced intelligent algorithms are used to analyze and diagnose the operating state of the CNC machine tool. These algorithms can automatically identify potential safety hazards and fault types and make preprocessing. During preprocessing, it is transmitted from the monitoring host 2 to the analysis screen 10. At this time, the S9 real-time data processing technology in the analysis screen 10 processes various types of data from the CNC machine tool;

[0038] The analysis screen 10 is equipped with S10 and visualization technology. This S10 and visualization technology display the results of analysis and diagnosis in a graphical and visual manner. The received data source is analyzed and diagnosed for the operating state of the CNC machine tool through the S4 analysis and diagnosis layer using intelligent algorithms. At the same time, in combination with the S3 data fusion layer using advanced data fusion algorithms, data from different sources are organically fused to form a comprehensive and accurate data view for further analysis. The analyzed data is combined with the S7 multi-source data fusion technology to organically fuse data from different sources to form a comprehensive and accurate data view. This data is displayed on the analysis screen 10 through the S6 visualization display layer. When the system detects potential safety hazards or faults, the S5 warning and intervention layer issues an alarm, activates the alarm light 11 to send a warning message to relevant personnel for manual processing.

[0039] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be encompassed within the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.

[0040] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis includes the following steps: S1, data acquisition layer: responsible for collecting real-time operation data from various sensors, actuators and other components of CNC machine tools. These data include signals collected by various sensors; S2, data preprocessing layer: cleaning, denoising, and compression preprocessing operations are performed on the collected raw data to improve the quality and availability of the data; S3, data fusion layer: using advanced data fusion algorithms to organically integrate data from different sources to form a comprehensive and accurate data view. This layer is the core of the system and determines the accuracy and reliability of the system's evaluation of the operating status of CNC machine tools; S4, analysis and diagnosis layer: Based on the fused data, intelligent algorithms are used to analyze and diagnose the operating status of CNC machine tools. The system can automatically identify potential safety hazards and fault types, and give corresponding treatment suggestions; S5, early warning intervention layer: When the system detects potential safety hazards or failures, it will automatically trigger the early warning mechanism and send early warning information to relevant personnel. At the same time, the system can also automatically take intervention measures according to preset rules and strategies to avoid further expansion of the failure; S6. Visual display layer: The analysis and diagnosis results are displayed in a graphical and visual way, so that relevant personnel can intuitively understand the operating status and fault conditions of the CNC machine tools.

2. The CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis according to claim 1 is characterized in that: The invention comprises a CNC machine tool body (1) and a monitoring host (2), wherein a temperature sensor (3), a vibration sensor (4), a displacement sensor (5), a pressure sensor (6), a voltage sensor (7), an optical sensor (8), and an acceleration sensor (9) are installed inside the monitoring host (2), and an analysis screen (10) is installed on one side of the monitoring host (2), and an alarm light (11) is arranged at the upper end.

3. According to the CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis in claim 1, the step system is implemented based on the following technical foundations: S7, Multi-source data fusion technology: This technology can organically integrate data from different sources to form a comprehensive and accurate data view, which helps to improve the accuracy and reliability of the system's evaluation of the operating status of CNC machine tools; S8, Intelligent Algorithm: The system uses advanced intelligent algorithms to analyze and diagnose the operating status of CNC machine tools. These algorithms can automatically identify potential safety hazards and fault types, and give corresponding treatment suggestions; S9. Real-time data processing technology: The system can process various data from CNC machine tools in real time to ensure real-time monitoring and accurate evaluation of the operating status of CNC machine tools; S10. Visualization technology: Display the results of analysis and diagnosis in a graphical and visual way, so that relevant personnel can intuitively understand the operating status and fault conditions of the CNC machine tools.

4. The CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis according to claims 1-3 is characterized in that: The S1 comprises a temperature sensor (3), a vibration sensor (4), a displacement sensor (5), a pressure sensor (6), a voltage sensor (7), an optical sensor (8), and an acceleration sensor (9), which are connected to various components of the CNC machine tool body (1).

5. The CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis according to claims 1-3 is characterized in that: The S2 is arranged in the monitoring host (2) and operates based on the S8 through the sensor.

6. The CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis according to claims 1-3 is characterized in that: The S3, S4, S6 are displayed on the analysis screen (10) based on S9.

7. The CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis according to claim 2 is characterized in that: The analysis screen (10) is equipped with S6 and operates based on S10.

8. The CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis according to claim 1 is characterized in that: The S5 is installed in the monitoring host (2) and connected to the alarm light (11).

9. The CNC machine tool operation safety supervision and control system based on multi-source data fusion analysis according to claim 2 is characterized in that: The temperature sensor (3) is installed in the spindle box, motor and bearing of the CNC machine tool body (1); the vibration sensor (4) is installed in the spindle box, workbench and tool clamping device of the CNC machine tool body (1); the displacement sensor (5) is installed in the tool feeding mechanism and workpiece moving platform of the CNC machine tool body (1); the pressure sensor (6) is installed in the hydraulic cylinder, pneumatic cylinder and hydraulic pump of the CNC machine tool body (1); the voltage sensor (7) is installed in the electrical control cabinet of the CNC machine tool body (1); the optical sensor (8) is installed in the processing area of ​​the CNC machine tool body (1); and the acceleration sensor (9) is installed in the spindle box, workbench and tool clamping device of the CNC machine tool body (1).

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