Machine tool running state monitoring equipment and machine tool running state monitoring method

Abstract

The invention relates to machine tool running state monitoring equipment and a machine tool running state monitoring method. The monitoring equipment comprises a safety control module, a load measurement module, a vibration measurement module, a displacement measurement module, a temperature measurement module, an electrical parameter processing module, a fault analysis module and a data summarization and export module, and can complete real-time monitoring of a plurality of parameters such as energy consumption, vibration, displacement, temperature, current, voltage, frequency and load of the machine tool based on the modules. And the reliability of the machine tool is evaluated according to the monitoring data. The load signal, the vibration signal, the displacement signal, the temperature signal, the electrical parameter signal and the like of the numerical control machine tool can be monitored in real time and subjected to data analysis, so that potential fault hidden dangers can be found in time, corresponding measures are taken for prevention and elimination, and the reliability of the numerical control machine tool is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of reliability testing, and in particular to a machine tool operating status monitoring device and a machine tool operating status monitoring method. Background Art

[0002] The reliability of CNC machine tools is a key indicator of the quality of CNC machine tool products, and related research is increasingly valued by countries around the world. Reliability testing, as an important technical means to evaluate and improve the reliability of CNC machine tools, is of great significance in determining the expected working reliability of products, verifying whether products meet design requirements, discovering defects, providing a basis for improvement, and eliminating early failures. General reliability tests include accelerated strengthening tests, accelerated life tests, timed truncation tests, constant truncation tests, sequential tests, Bayesian-based identification tests, and reliability baseline tests. However, due to the high cost of high-reliability products, such as high-end CNC machine tools, or small batches of products, such as special customization by users, the reliability test of such products can only be a small sample reliability test, or even a very small sample. However, the current small sample reliability test evaluation methods have very low accuracy. Therefore, based on many years of reliability tests, the National Machine Tool Quality Supervision and Inspection Center has proposed a reliability rapid loading test method based on simulated loading, which effectively solves the reliability test problems in new product design and application verification. However, the data sample length obtained by traditional acquisition equipment is limited, and it is not easy to find the machine tool operation law, machine tool indicator attenuation and potential failures, etc., and the application scope is limited.

[0003] Therefore, how to improve the reliability and safety of CNC machine tools through more effective monitoring equipment and monitoring methods has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] In order to solve at least one of the technical problems mentioned above, the present disclosure proposes a machine tool operation status monitoring device, a machine tool operation status monitoring method, and a storage medium.

[0005] According to one aspect of the present disclosure, a machine tool operation status monitoring device is provided, which includes: a safety control module, which is used to determine whether the connected power supply is a standard power supply when starting the above-mentioned monitoring device, and the above-mentioned standard power supply is a power supply with a neutral live wire and a ground wire correctly connected and a voltage within a preset range; a load measurement module, which is used to measure the load signal of the above-mentioned CNC machine tool in real time during the monitoring process, and the above-mentioned load signal includes a force parameter and a torque parameter; a vibration measurement module, which is used to measure the vibration signal of the above-mentioned CNC machine tool in real time during the monitoring process, and the above-mentioned vibration signal includes a speed parameter, an acceleration parameter, and a displacement parameter; a displacement measurement module, which is used to measure the displacement signal of the above-mentioned CNC machine tool in real time during the monitoring process, and the above-mentioned The displacement parameters include feed shaft deformation parameters and spindle deformation parameters; a temperature measurement module is used to measure the temperature signal of the above-mentioned CNC machine tool in real time during the monitoring process, and the above-mentioned temperature signal includes spindle temperature parameters, electrical temperature parameters, and hydraulic temperature parameters; an electrical parameter processing module is used to measure the electrical parameter signal of the above-mentioned CNC machine tool in real time during the monitoring process, and the above-mentioned electrical parameter signal includes current parameters, voltage parameters, frequency parameters, and energy consumption parameters; a fault analysis module is used to record and analyze fault data, and the above-mentioned fault data is determined based on the similarity principle of cyclic load spectrum and the operation data of the CNC machine tool; a data summary and export module is used to summarize and export the data generated by the above-mentioned monitoring equipment during the monitoring process.

[0006] In some possible implementations, the monitoring device further includes a display screen for displaying monitoring data and prompt information in real time, wherein the prompt information is information indicating an abnormal condition existing in the monitoring device.

[0007] In some possible implementations, the safety control module is also used to, when the connected power supply is the standard power supply, control all modules of the monitoring device to operate normally; when the connected power supply is not the standard power supply, control all modules of the monitoring device to be in a standby non-operating state, and display the prompt information on the display screen; when the user starts the monitoring device after further confirmation based on the prompt information, the monitoring device enters a normal operating state.

[0008] In some possible implementations, the monitoring device is further configured with an internal temperature sensor and a cooling fan, wherein the internal temperature sensor is used to obtain the internal temperature of the monitoring device, and the cooling fan is used to reduce the temperature of the monitoring device.

[0009] In some possible implementations, the safety control module is further configured to control the cooling fan to operate so as to lower the temperature of the monitoring device when the internal temperature is greater than or equal to a cooling trigger temperature corresponding to the monitoring device.

[0010] In some possible implementations, the fault analysis module is further used to record the fault repair time of the CNC machine tool.

[0011] According to a second aspect of the present disclosure, a method for monitoring the operation status of a machine tool of the machine tool operation status monitoring device provided by the first aspect of the present disclosure is provided, the method comprising: judging whether the connected power supply is the standard power supply based on the safety control module; starting the monitoring device when the connected power supply is the standard power supply; measuring the load signal of the CNC machine tool in real time during the monitoring process based on the load measurement module; measuring the vibration signal of the CNC machine tool in real time during the monitoring process based on the vibration measurement module; measuring the displacement signal of the CNC machine tool in real time during the monitoring process based on the displacement measurement module; measuring the temperature signal of the CNC machine tool in real time during the monitoring process based on the temperature measurement module; measuring the electrical parameter signal of the CNC machine tool in real time during the monitoring process based on the electrical parameter processing module; recording and analyzing fault data based on the fault analysis module, terminating the current monitoring process when the fault time of the CNC machine tool is greater than or equal to the preset pause time; terminating the current monitoring process when the monitoring process reaches the preset monitoring time; summarizing and exporting the data generated by the monitoring device during the monitoring process based on the data summarizing and exporting module; generating reliability evaluation information of the machine tool based on the data generated by the monitoring device during the monitoring process.

[0012] In some possible implementations, generating the reliability evaluation information of the machine tool based on the data generated by the monitoring device during the monitoring process includes: grouping the data according to a preset length to obtain sub-data segments; calculating the standard deviation and volatility of each of the sub-data segments; and determining the reliability evaluation information of the operating status of the machine tool based on the standard deviation and the volatility.

[0013] In some possible implementations, the method further includes: when the connected power supply is not the standard power supply, the safety control module controls all modules of the monitoring device to be in a standby non-running state, and displays the prompt information on the display screen; when the monitoring device is further confirmed to be started based on the prompt information, the monitoring device enters a normal operating state.

[0014] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, in which at least one instruction or at least one program is stored. The at least one instruction or at least one program is loaded and executed by a processor to implement a machine tool operation status monitoring method as described in any one of the second aspects.

[0015] According to a fourth aspect of the present disclosure, an electronic device is provided, comprising at least one processor and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the machine tool operation status monitoring method as described in the second aspect by executing the instructions stored in the memory.

[0016] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

[0017] The implementation of the present disclosure has the following beneficial effects: the safety control module of the machine tool operation status monitoring device provided by the present disclosure can determine whether the connected power supply is a standard power supply when starting the monitoring device, thereby avoiding damage caused by the user connecting the wrong power supply. At the same time, the monitoring device can also perform real-time monitoring and data analysis on the load signal, vibration signal, displacement signal, temperature signal, electrical parameter signal, etc. of the CNC machine tool, so as to timely discover potential fault hazards and take corresponding measures to prevent and eliminate them, thereby improving the reliability of the CNC machine tool.

[0018] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions and advantages in the embodiments of this specification or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 A structural block diagram of a machine tool operation status monitoring device according to an embodiment of the present disclosure is shown; Figure 2 A schematic diagram showing a power supply connection of a machine tool operation status monitoring device according to an embodiment of the present disclosure Figure 1 ; Figure 3 A schematic diagram showing a power supply connection of a machine tool operation status monitoring device according to an embodiment of the present disclosure Figure 2 ; Figure 4 A schematic diagram showing a power supply connection of a machine tool operation status monitoring device according to an embodiment of the present disclosure Figure 3 ; Figure 5 A schematic diagram showing a power supply connection of a machine tool operation status monitoring device according to an embodiment of the present disclosure Figure 4 ; Figure 6 A schematic diagram showing a flow chart of a method for monitoring the operating status of a machine tool according to an embodiment of the present disclosure; Figure 7 A schematic flow chart showing a method for obtaining reliability evaluation information of a machine tool according to an embodiment of the present disclosure; Figure 8 A monitoring signal diagram according to an embodiment of the present disclosure is shown; Fig. 9 A diagram showing a sub-data segment overlap situation according to an embodiment of the present disclosure; Fig.10 A diagram showing the standard deviation and volatility of each sub-data segment according to an embodiment of the present disclosure is shown; Fig.11 Another monitoring signal diagram according to an embodiment of the present disclosure is shown; Fig.12 Another diagram showing overlapping of sub-data segments according to an embodiment of the present disclosure is shown; Fig.13 Another diagram showing the standard deviation and volatility of each sub-data segment according to an embodiment of the present disclosure is shown; Fig.14 A schematic diagram showing a flow chart of a standard power source determination method according to an embodiment of the present disclosure; Fig.15 A block diagram of an electronic device according to an embodiment of the present disclosure is shown; Fig.16 A block diagram of another electronic device according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0023] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0024] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0025] The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C can represent including any one or more elements selected from the set consisting of A, B, and C.

[0026] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.

[0027] The reliability of CNC machine tools is a key indicator of their product quality, and reliability tests are crucial to evaluating and improving their reliability. Traditional general reliability test methods include many types, but for high-cost or small-batch products, only small-sample reliability tests can be used, and the evaluation accuracy of such tests is low, making it difficult to discover the operating laws and potential faults of machine tools. In view of this, the embodiments of the present disclosure provide a machine tool operating status monitoring device for monitoring the operating status of a machine tool, thereby exploring the operating laws of the machine tool and identifying potential manufacturing defects of the machine tool.

[0028] Figure 1 A structural block diagram of a machine tool operation status monitoring device according to an embodiment of the present disclosure is shown as follows: Figure 1 As shown, the above monitoring equipment includes: The safety control module 101 is used to determine whether the connected power supply is a standard power supply when starting the above-mentioned monitoring device. The above-mentioned standard power supply is a power supply with a neutral wire, a live wire and a ground wire correctly connected and a voltage within a preset range.

[0029] In the embodiment of the present application, when the power supply is introduced into the starting monitoring device, the monitoring device intelligently determines whether the zero and live wires of the connected power supply are correctly connected, whether the ground wire is grounded, whether the voltage exceeds the standard, etc. When the connected power supply is a standard power supply that meets the requirements (see Figure 2 ), the safety control module controls the normal operation of the equipment; if the input power of the monitoring equipment is incorrectly connected to the neutral wire and the live wire (see Figure 3 ); the ground wire is not grounded (see Figure 4 ), the voltage between the neutral and live wires exceeds the preset range (see Figure 5 ) and other conditions, the safety control module controls all modules of the above monitoring equipment to be in a standby and non-operating state. It should be noted that the above Figures 2 to 4 The preset range of voltage is 220 volts. In actual application, the preset range of voltage can be set according to usage needs.

[0030] In some embodiments of the present application, the above-mentioned monitoring device is also equipped with a display screen. When the power supply is not a standard power supply, relevant prompt information is displayed on the above-mentioned display screen. When the user starts the above-mentioned monitoring device after further confirmation based on the above-mentioned prompt information, the above-mentioned monitoring device enters a normal operating state.

[0031] In some embodiments of the present application, the above-mentioned display screen is also used to display the monitoring data of the above-mentioned monitoring equipment in real time.

[0032] In some embodiments of the present application, the monitoring device is further configured with an internal temperature sensor and a cooling fan, wherein the internal temperature sensor is used to obtain the internal temperature of the monitoring device, and the cooling fan is used to reduce the temperature of the monitoring device. When the internal temperature is greater than or equal to the cooling trigger temperature corresponding to the monitoring device, the safety control module controls the cooling fan to operate to reduce the temperature of the monitoring device.

[0033] In summary, the safety control module can ensure the accuracy of the monitoring data of the monitoring equipment and the safety of equipment operation, and prevent accidental electric shock.

[0034] The load measurement module 102 is used to measure the load signal of the CNC machine tool in real time during the monitoring process. The load signal includes force parameters and torque parameters.

[0035] In the embodiments of the present application, the load signal refers to the signals of various external forces or forces applied to mechanical equipment or structures. In the reliability test of CNC machine tools, the load signal usually refers to the forces borne by the machine tools during operation, which can be static or dynamic. Force parameters and torque parameters are mainly used to measure the physical forces acting on the machine tools, which can be linear forces, such as tension or pressure, or rotational forces, such as the rotational torque acting on the machine tool shaft.

[0036] In some embodiments of the present application, the load measurement module can be used for load signal measurement during reliability testing. During the test, the load measurement module of the detector can detect electrical signals such as force and torque in actual working conditions in real time. These signals reflect the performance of the machine tool under different load conditions, and provide important data support for evaluating the actual load of the machine tool and the deformation, failure occurrence and loading rules of the machine tool. By accurately measuring and recording these signals, the performance of the machine tool under various working conditions can be more accurately analyzed, and then its reliability and stability can be judged. In addition, these data can also help identify potential design defects or processing deficiencies, thereby providing valuable references for improving the design and manufacture of machine tools.

[0037] The vibration measurement module 103 is used to measure the vibration signal of the CNC machine tool in real time during the monitoring process. The vibration signal includes velocity parameters, acceleration parameters, and displacement parameters.

[0038] In the embodiment of the present application, the vibration measurement module is a key component for real-time measurement of the vibration signal of the CNC machine tool during the monitoring process. The module can continuously monitor and record the vibration signals of the machine tool during operation, including velocity parameters, acceleration parameters and displacement parameters. The velocity parameter represents the instantaneous velocity of the vibration, which is the rate of change of the vibration displacement relative to time. The velocity parameter is usually used to evaluate the magnitude of the vibration energy, and a higher velocity value may indicate a larger energy transfer or mechanical failure. The acceleration parameter represents the vibration acceleration, that is, the rate of change of the vibration velocity. The acceleration parameter can reveal the severity of the vibration, and a high acceleration value may indicate a serious imbalance or other dynamic problems. The displacement parameter represents the amplitude of the vibration, that is, the maximum displacement of the object relative to its stationary position. The displacement parameter helps to evaluate the amplitude of the vibration, and a larger displacement value may mean that there is a larger mechanical looseness or structural problem. These parameters provide detailed information about the vibration characteristics of the machine tool, which helps to evaluate its dynamic performance and stability. By accurately measuring these signals, the response characteristics of the machine tool under different working conditions can be better understood, and then possible mechanical problems or potential faults can be diagnosed. These data are very important for optimizing machine tool design, improving machining accuracy and extending service life.

[0039] The displacement measurement module 104 is used to measure the displacement signal of the above-mentioned CNC machine tool in real time during the monitoring process. The above-mentioned displacement parameters include the feed shaft deformation parameter and the spindle deformation parameter.

[0040] In an embodiment of the present application, the displacement measurement module is a key component for real-time measurement of the displacement signal of the CNC machine tool during the monitoring process. The module can continuously monitor and record the displacement signals of the machine tool during operation, and these signals include feed shaft deformation parameters, spindle deformation parameters, etc. The feed shaft deformation parameters represent the displacement changes that occur when the feed shaft is subjected to load. The spindle deformation parameters represent the displacement changes that occur when the spindle is subjected to load. During the reliability test, these parameters can reflect the stiffness and stability of the spindle system.

[0041] By monitoring these displacement signals in real time, the dynamic characteristics of the machine tool under different working conditions can be effectively monitored, including the deformation of the feed axis and spindle. These data provide strong data support for the diagnosis of the machine tool status, helping to timely discover potential mechanical problems or abnormal conditions, thereby ensuring the stable operation of the machine tool and improving the overall processing quality. In addition, by analyzing these displacement parameters, the design and maintenance strategy of the machine tool can be further optimized to improve its reliability and service life.

[0042] The temperature measurement module 105 is used to measure the temperature signal of the CNC machine tool in real time during the monitoring process. The temperature signal includes spindle temperature parameters, electrical temperature parameters, and hydraulic temperature parameters.

[0043] In the embodiment of the present application, the temperature measurement module of the above-mentioned monitoring device can detect in real time the temperature of the spindle, electrical, hydraulic and other machine tool components detected by the sensor in the actual working conditions. The change of the spindle temperature parameter can reflect the working state of the spindle and its bearings. Excessive temperature may indicate problems such as poor lubrication or wear. The temperature parameters of electrical components can reflect the temperature of electrical components (such as motors, controllers, etc.), which can help evaluate the thermal stability of these components. Abnormally high temperature may be a manifestation of overload or poor heat dissipation.

[0044] The hydraulic temperature parameter reflects the temperature change of the hydraulic system. It can reflect the temperature of the hydraulic oil, which helps to evaluate the efficiency and performance of the hydraulic system. Abnormally high temperature may indicate leakage or cooling system problems.

[0045] By monitoring these temperature signals in real time, the thermal characteristics of the machine tool under different working conditions can be effectively monitored, including the temperature changes of each key component. These data provide strong data support for the diagnosis of the machine tool status, helping to timely discover potential mechanical problems or abnormal conditions, thereby ensuring the stable operation of the machine tool and improving the overall processing quality.

[0046] The electrical parameter processing module 106 is used to measure the electrical parameter signals of the CNC machine tool in real time during the monitoring process. The electrical parameter signals include current parameters, voltage parameters, frequency parameters, and energy consumption parameters.

[0047] In the embodiment of the present application, the electrical parameter processing module can receive data from the electrical parameter analyzer through the RS485 interface. The present application does not limit the specifications of the interface used by the electrical parameter processing module.

[0048] In one embodiment of the present application, current parameters include input current and output current, which reflect the power consumption of the machine tool under different working conditions. Abnormal current fluctuations may indicate circuit problems or overload. Voltage parameters include input voltage and output voltage, which reflect the stability of the machine tool power supply system. Voltage fluctuations or instability may indicate unstable power supply or electrical faults. Frequency parameters mainly refer to the frequency of the power supply, which is crucial to ensure the normal operation of the machine tool. Abnormal frequency changes may indicate power quality problems or control system failures. Energy consumption parameters include indicators such as power factor and energy consumption, which can help evaluate the energy efficiency of the machine tool. Excessive energy consumption may indicate inefficiency or waste of resources.

[0049] By monitoring these electrical parameter signals in real time, the electrical characteristics of the machine tool under different working conditions can be effectively monitored, including important information such as power consumption and voltage stability. These data provide strong data support for the diagnosis of the machine tool status, helping to timely discover potential electrical problems or abnormal conditions, thereby ensuring the stable operation of the machine tool and improving the overall processing quality.

[0050] The fault analysis module 108 is used to record and analyze fault data, which is determined based on the cyclic load spectrum similarity principle and the CNC machine tool operation data.

[0051] In the embodiment of the present application, the machine tool operates cyclically according to the specified load spectrum, and the monitoring device actively records various data during the operation of the machine tool. Based on the principle of similarity of cyclic load spectrum, this module automatically identifies data mutation points as the focus of fault analysis, and combines the machine tool faults automatically recorded by the monitoring device to perform fault analysis and automatically accumulate fault repair time.

[0052] In the embodiment of the present application, the monitoring device will actively record various data during the operation of the machine tool, including but not limited to load signals, vibration signals, displacement signals, temperature signals, and electrical parameter signals.

[0053] In the embodiment of the present application, based on the principle of similarity of cyclic load spectra, the fault analysis module can automatically identify mutation points in the data, which are usually signs of abnormalities or potential faults in the machine tool.

[0054] In the embodiment of the present application, once a fault or abnormal situation is detected, the fault analysis module will automatically record the time when the fault occurs, and perform a comprehensive analysis based on the machine tool fault information recorded by the monitoring equipment to determine the cause and type of the fault.

[0055] Through these functions, the fault analysis module can not only help to timely discover and diagnose machine tool faults, but also provide valuable data support for improving machine tool design and improving its reliability.

[0056] The data aggregation and export module 109 is used to aggregate and export the data generated by the above monitoring equipment during the monitoring process.

[0057] In the embodiment of the present application, after the monitoring is completed, the data summary and export module can realize the summary of test data such as the maximum value, average value, basic information of the test, total test time, loading time ratio, number of failures, etc. of each parameter. And support the export of the summarized data. At the same time, the data file can be exported to an external storage device through the USB interface of the monitoring device provided by the present disclosure.

[0058] In an embodiment of the present application, the module can summarize key data during the test, including but not limited to: the maximum value of each parameter, such as the maximum and minimum load, vibration, displacement, temperature and electrical parameters; the average value, that is, the average value of each parameter during the entire monitoring period; basic monitoring information, such as the date of the reliability test, the test number, the test conditions, etc.; the total monitoring time; the loading time ratio, that is, the ratio of the machine tool running time under different loading modes; the number of failures, that is, the number of failures that occurred during the monitoring process.

[0059] Through these functions, the data summary and export module can not only help collect and organize test data, but also facilitate subsequent data analysis, report writing and archiving.

[0060] In some embodiments of the present application, the above-mentioned monitoring device also includes other modules 107, which may include but are not limited to: Data preprocessing module: used to clean and preprocess the original data to ensure data quality and lay the foundation for subsequent data analysis. Real-time monitoring module: capable of displaying the changes of key parameters in real time, timely discovering abnormalities and issuing alarms. Fault diagnosis module: based on historical data and algorithm models, predictive diagnosis of equipment failures, and early warning of potential problems. Remote communication module: supports data transmission between the monitoring device and the remote server, allowing remote monitoring and control. Data analysis and report generation module: capable of automatically analyzing data and generating reports to facilitate users to understand the status and performance of the device. Security encryption module: ensures security during data transmission and prevents data from being tampered with or leaked. User interface module: provides a friendly human-computer interaction interface so that users can intuitively operate and manage the monitoring system. Power management module: responsible for monitoring the energy management and power supply scheme of the equipment, ensuring stable operation of the equipment while optimizing energy consumption. Expansion interface module: provides interface support for adding new sensors or other hardware in the future to enhance the scalability of the system. Maintenance and update module: supports online upgrades and maintenance of software to ensure that the system is always in the latest state.

[0061] These additional modules enhance the functionality and practicality of the monitoring equipment, enabling it to better meet the needs of various application scenarios.

[0062] In some embodiments of the present application, the housing of the monitoring device is made of aluminum alloy.

[0063] In some embodiments of the present application, the monitoring device further includes a filter module to achieve anti-interference of the connected power supply.

[0064] In summary, the monitoring equipment provided by the present application can autonomously monitor and measure multiple parameters of a machine tool under cyclic loading of a specified load spectrum, such as energy consumption, vibration, displacement, temperature, current, voltage, frequency, load, etc., based on the principle of similarity of cyclic load spectrum, with data mutation as the fault analysis point, combined with the machine tool fault automatically recorded by the monitoring equipment, analyze the machine tool fault and propose a solution. In addition, the monitoring equipment has a self-protection function. The monitoring equipment is used in the test process, and can realize load triggering with high triggering accuracy, which can reduce the misjudgment of the signal. The monitoring equipment also has a certain anti-interference ability for the access power supply.

[0065] Figure 6 A flow chart of a method for monitoring the operation status of a machine tool according to an embodiment of the present disclosure is shown as follows: Figure 6 As shown, the steps of the above method are: S6001: Determine whether the connected power supply is the above-mentioned standard power supply based on the above-mentioned safety control module.

[0066] In the embodiment of the present application, the safety control module first checks the specifications and characteristics of the incoming power supply to determine whether it meets the predefined standard power supply requirements. This may include parameters such as voltage level, frequency stability, current fluctuation range, etc. If the incoming power supply meets the standard, the next step can be performed; if not, appropriate measures need to be taken, such as displaying a warning message or keeping the monitoring device in standby mode.

[0067] S6002: When the above-mentioned connected power supply is the above-mentioned standard power supply, start the above-mentioned monitoring equipment.

[0068] In the embodiment of the present application, if the safety control module determines that the connected power supply is a standard power supply, the entire monitoring device and all its related functional modules are started. At this time, the monitoring device can start to perform its predetermined tasks, such as data collection and analysis.

[0069] S6003: Based on the load measurement module, real-time measurement is performed on the load signal of the CNC machine tool during the monitoring process.

[0070] In the embodiment of the present application, during the monitoring period, the load measurement module will continuously detect the load signal borne by the CNC machine tool and record these data in real time for subsequent analysis.

[0071] S6004: Based on the vibration measurement module, real-time measurement is performed on the vibration signal of the CNC machine tool during the monitoring process.

[0072] In the embodiment of the present application, during the monitoring process, the vibration measurement module will continuously record the vibration signal generated by the CNC machine tool.

[0073] S6005: Based on the displacement measurement module, real-time measurement is performed on the displacement signal of the CNC machine tool during the monitoring process.

[0074] In the embodiment of the present application, during the monitoring process, the vibration measurement module will continuously record the displacement signal generated by the CNC machine tool.

[0075] S6006: Based on the temperature measurement module, the temperature signal of the CNC machine tool is measured in real time during the monitoring process.

[0076] In the embodiment of the present application, during the monitoring process, the vibration measurement module will continuously record the temperature signal generated by the CNC machine tool.

[0077] S6007: Based on the electrical parameter processing module, real-time measurement is performed on the electrical parameter signal of the CNC machine tool during the monitoring process.

[0078] In the embodiment of the present application, during the monitoring process, the vibration measurement module will continuously record the electrical parameter signals generated by the CNC machine tool.

[0079] S6008: Based on the above-mentioned fault analysis module, record and analyze the fault data, and when the fault time of the above-mentioned CNC machine tool is greater than or equal to the preset pause time, end the current monitoring process.

[0080] In the embodiment of the present application, the fault analysis module will continuously record any fault conditions that occur and analyze them. Once the fault duration reaches or exceeds a preset pause threshold, the monitoring process will stop.

[0081] S6009: When the monitoring process reaches the preset monitoring time, the current monitoring process ends.

[0082] In an embodiment of the present application, the monitoring device also tracks the total monitoring time, and automatically stops the monitoring process once a preset time limit is reached.

[0083] S6010: Based on the above data aggregation and export module, aggregate and export the data generated by the above monitoring equipment during the monitoring process.

[0084] S6011: Generate reliability evaluation information of the above-mentioned machine tool based on the data generated by the above-mentioned monitoring equipment during the monitoring process.

[0085] Figure 7 A flow chart showing a method for obtaining reliability evaluation information of a machine tool according to an embodiment of the present disclosure is shown as follows: Figure 7 As shown, the steps of the above method are: S701: Group the above data according to a preset length to obtain sub-data segments.

[0086] S702: Calculate the standard deviation and volatility of each of the above sub-data segments.

[0087] S703: Based on the standard deviation and the fluctuation rate, determine the reliability evaluation information of the operating status of the machine tool.

[0088] In actual application, the amount of data obtained by the monitoring equipment is large, often exceeding 48 hours or even hundreds of hours, and the defect data is not easy to judge. Therefore, this application proposes a big data periodic processing method to improve the efficiency of big data processing obtained by monitoring equipment.

[0089] The degree of overlap of the periodized curves used in the embodiment of the present disclosure can be measured by two commonly used indicators: standard deviation and volatility. The standard deviation represents the comprehensive level, and the volatility represents the extreme level. Figure 8 It is a hypothetical periodic monitoring signal, which belongs to big data and describes the time domain signal of the response (such as current, vibration, power). For analysis, it is cut into 5 segments, see Fig. 9 . Fig. 9 yes Figure 8The five data segments are obtained by periodic processing according to the preset length. In theory, each curve should be exactly the same if there is no fault, that is, all curves overlap. However, this is not the case. Fig.10 . Fig.10 It is the standard deviation and volatility of each section of the curve after periodization. The results show that neither the standard deviation nor the volatility has changed significantly, and both change within the control line, indicating that the curves have good coincidence, no significant signs of decay, and the health of the monitored object is normal. That is, the reliability evaluation information is that the monitored object is in a healthy and reliable operating state.

[0090] In a specific embodiment, Fig.11 This is the vibration velocity curve of the measuring point at the flange cover at the front end of the spindle obtained by the above-mentioned machine tool condition monitoring device. The monitoring time is 62.2 hours. There are many vibration data, and it is not possible to directly see the clues from the figure. The data is segmented and processed by the big data periodic processing method, and it is divided into 8 segments. Fig.12 , and calculate the standard deviation and volatility respectively. For both standard deviation and volatility, see Fig.13 , which indicates that the vibration of the machine tool spindle has a tendency to gradually increase. According to the design of machine tool products and the basic requirements of the industry, when the output signal fluctuation rate is within the tolerance (upper and lower control lines), it indicates that the machine tool is running smoothly. Once the fluctuation rate exceeds the tolerance (upper and lower control lines), it means that there is a problem with the coordination of the product spindle, and it is necessary to stop the machine for maintenance and adjustment in time.

[0091] In summary, the method for obtaining reliability evaluation information of machine tools proposed in this application can improve the efficiency of big data processing. For a large amount of data obtained by the monitoring equipment, through periodic processing, the complex big data is converted into multiple curve segments with equal time intervals, which is convenient for analysis and judgment, and greatly improves the processing efficiency of big data. The data processing method proposed in this application can accurately judge the health status of an object, and use the two indicators of standard deviation and volatility to measure the degree of curve overlap, so as to clearly understand the health status of the object. At the same time, the data processing method has a wide range of applicability and can be extended to big data processing in related industries, providing an effective solution for data processing in different fields.

[0092] Fig.14 A flow chart of a method for determining a standard power supply according to an embodiment of the present disclosure is shown as follows: Fig.14 As shown, the steps of the above method are: S1401: When the above-mentioned connected power supply is not the above-mentioned standard power supply, the above-mentioned safety control module controls all modules of the above-mentioned monitoring equipment to be in a standby and non-operating state, and displays the above-mentioned prompt information on the above-mentioned display screen.

[0093] S1402: When the monitoring device is further confirmed to be started based on the prompt information, the monitoring device enters a normal operating state.

[0094] In a specific embodiment, the monitoring device of the present application is used to carry out a feed force loading strengthening test on the feed axis. Under the condition of spindle operation, the axial load is repeatedly applied to the X-axis / Y-axis / Z-axis to assess the reliability of each action of the machine tool; under the condition of idle operation of the machine tool, the reliability of the tool change, rapid movement of the worktable and exchange actions specified by the machine tool is assessed; during the feed loading test, the CNC machine tool status monitoring device monitors the real-time data of the test in real time through the sensor arrangement. The test inputs the set loading force, and the system automatically calculates the set load ratio (set loading force / maximum load designed for the machine tool). Generally, the set load ratio is not less than 75%. Through the long-term detection of the machine tool idle operation and loading work for a cumulative time of about 72 hours (including fault repair time, excluding installation auxiliary time), the machine tool is stimulated to produce corresponding action and position response to the set loading force. Its response value reflects the coping ability of the tested machine tool and captures abnormal signals with long machine tool cycles. By comparing and analyzing the initial inspection and final inspection data saved by the monitoring equipment, we can observe whether the machine tool performance has decayed, and then conduct a reliability assessment of the machine tool to obtain the stability of the machine tool performance. If necessary, we can provide solutions to meet the needs of machine tool manufacturers as much as possible.

[0095] In another specific embodiment, the monitoring device of the present application is used to carry out a spindle loading strengthening test. Under the spindle running condition, the test repeatedly applies a torque load to the spindle to assess the reliability of each action of the machine tool; under the idle running of the machine tool, the reliability of the tool change, worktable rapid movement and exchange actions specified by the machine tool is assessed; during the spindle loading strengthening test, the CNC machine tool state monitoring device monitors the real-time test data in real time through the sensor arrangement. The test system loads the torque. After entering the set loading torque, the system automatically calculates the set load ratio (set loading torque / spindle design maximum torque). Through the long-term detection of the machine tool idle running and loading work cumulative time of about 72 hours (including fault repair time, excluding installation auxiliary time), the machine tool is stimulated to produce a corresponding action and position response to the torque within the set range. The response value reflects the coping ability of the tested machine tool and captures the abnormal signal of the long cycle of the machine tool. Through the comparative analysis of the initial inspection and final inspection data saved by the monitoring device, it is observed whether the performance of the machine tool has decayed, and then the reliability of the machine tool is evaluated, so as to obtain the stability of the machine tool performance. If necessary, a solution can be provided to meet the needs of the machine tool manufacturer as much as possible.

[0096] Those skilled in the art will appreciate that, in the above method of the specific implementation, the order in which the steps are written does not mean a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0097] It can be understood that the above-mentioned various method embodiments mentioned in the present disclosure can be combined with each other to form a combined embodiment without violating the principle logic. Due to space limitations, the present disclosure will not go into details.

[0098] The present disclosure also provides a computer-readable storage medium, wherein at least one instruction or at least one program is stored in the computer-readable storage medium, and when the at least one instruction or at least one program is loaded and executed by a processor, the method is implemented. The computer-readable storage medium may be a non-volatile computer-readable storage medium.

[0099] The embodiment of the present disclosure also proposes an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured as the machine tool operating status monitoring method.

[0100] The electronic device may be provided as a terminal, a server, or a device in other forms.

[0101] Fig.15 A block diagram of an electronic device according to an embodiment of the present disclosure is shown. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

[0102] Reference Fig.15 , the electronic device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input / output (I / O) interface 812 , a sensor component 814 , and a communication component 816 .

[0103] The processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0104] The memory 804 is configured to store various types of data to support operations on the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phone book data, messages, pictures, videos, etc. The memory 804 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk, or an optical disk.

[0105] The power supply component 806 provides power to the various components of the electronic device 800. The power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 800.

[0106] The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the electronic device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0107] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC), and when the electronic device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 804 or sent via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

[0108] The I / O interface 812 provides an interface between the processing component 802 and the peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0109] The sensor assembly 814 includes one or more sensors for providing various aspects of status assessment for the electronic device 800. For example, the sensor assembly 814 can detect the open / closed state of the electronic device 800, the relative positioning of the components, such as the display and keypad of the electronic device 800, and the sensor assembly 814 can also detect the position change of the electronic device 800 or a component of the electronic device 800, the presence or absence of contact between the user and the electronic device 800, the orientation or acceleration / deceleration of the electronic device 800, and the temperature change of the electronic device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0110] The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G, 5G or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0111] In an exemplary embodiment, the electronic device 800 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned machine tool operation status monitoring method.

[0112] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 804 including computer program instructions, and the computer program instructions can be executed by a processor 820 of an electronic device 800 to complete the above-mentioned machine tool operation status monitoring method.

[0113] Fig.16 1 is a block diagram of another electronic device according to an embodiment of the present disclosure. For example, the electronic device 1900 may be provided as a server. Fig.16The electronic device 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions executable by the processing component 1922, such as an application. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above-mentioned machine tool operation status monitoring method.

[0114] The electronic device 1900 may also include a power supply component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input / output (I / O) interface 1958. The electronic device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

[0115] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the electronic device 1900 to complete the above-mentioned machine tool operation status monitoring method.

[0116] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0117] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a protruding structure in a groove on which instructions are stored, and any suitable combination thereof. The computer-readable storage medium used herein is not interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagated through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0118] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0119] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by using the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0120] Various aspects of the present disclosure are described herein with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0121] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0122] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0123] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the above-mentioned module, program segment or instruction includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the standard function in the square box can also occur in a sequence different from the standard in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a special hardware-based system that performs the specified function or action, or can be implemented with a combination of special hardware and computer instructions.

[0124] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A machine tool operation status monitoring device, the monitoring device comprising: A safety control module, used to determine whether the connected power supply is a standard power supply when starting the monitoring device, wherein the standard power supply is a power supply with a neutral wire, a live wire and a ground wire correctly connected and a voltage within a preset range; A load measurement module is used to measure the load signal of the CNC machine tool in real time during the monitoring process, wherein the load signal includes force parameters and torque parameters; A vibration measurement module, used for real-time measurement of the vibration signal of the CNC machine tool during monitoring, wherein the vibration signal includes velocity parameters, acceleration parameters, and displacement parameters; A displacement measurement module, used for real-time measurement of the displacement signal of the CNC machine tool during the monitoring process, wherein the displacement parameters include a feed shaft deformation parameter and a spindle deformation parameter; A temperature measurement module, used for real-time measurement of the temperature signal of the CNC machine tool during monitoring, wherein the temperature signal includes spindle temperature parameters, electrical temperature parameters, and hydraulic temperature parameters; An electrical parameter processing module, used for real-time measurement of electrical parameter signals of the CNC machine tool during monitoring, wherein the electrical parameter signals include current parameters, voltage parameters, frequency parameters, and energy consumption parameters; A fault analysis module, used to record and analyze fault data, wherein the fault data is determined based on the similarity principle of cyclic load spectrum and the operation data of the CNC machine tool; The data aggregation and export module is used to aggregate and export the data generated by the monitoring device during the monitoring process.

2. The monitoring device according to claim 1, characterized in that The monitoring device also includes a display screen, an internal temperature sensor and a cooling fan: The display screen is used to display monitoring data and prompt information in real time, and the prompt information is information indicating abnormal conditions existing in the monitoring device; The internal temperature sensor is used to obtain the internal temperature of the monitoring device, and the cooling fan is used to reduce the temperature of the monitoring device.

3. The monitoring device according to claim 2, characterized in that: The safety control module is also used to control all modules of the monitoring device to operate normally when the connected power supply is the standard power supply; when the connected power supply is not the standard power supply, control all modules of the monitoring device to be in a standby non-operating state, and display the prompt information on the display screen. When the user starts the monitoring device after further confirmation based on the prompt information, the monitoring device enters a normal operating state.

4. The monitoring device according to claim 3, characterized in that The safety control module is also used to control the cooling fan to operate so as to reduce the temperature of the monitoring device when the internal temperature is greater than or equal to the cooling trigger temperature corresponding to the monitoring device.

5. The monitoring device according to claim 1, characterized in that: The fault analysis module is also used to record the fault repair time of the CNC machine tool.

6. A machine tool operation status monitoring method of the machine tool operation status monitoring device according to any one of claims 1 to 5, characterized in that: The method comprises: Determining whether the connected power source is the standard power source based on the safety control module; When the connected power source is the standard power source, starting the monitoring device; Real-time measurement of the load signal of the CNC machine tool during the monitoring process based on the load measurement module; Real-time measurement of the vibration signal of the CNC machine tool during the monitoring process based on the vibration measurement module; Based on the displacement measurement module, the displacement signal of the CNC machine tool is measured in real time during the monitoring process; Real-time measurement of the temperature signal of the CNC machine tool during the monitoring process based on the temperature measurement module; Real-time measurement of the electrical parameter signal of the CNC machine tool during the monitoring process based on the electrical parameter processing module; Based on the fault analysis module recording and analyzing the fault data, when the fault time of the CNC machine tool is greater than or equal to the preset pause time, the current monitoring process is terminated; When the monitoring process reaches the preset monitoring time, the current monitoring process ends; Summarize and export the data generated by the monitoring device during the monitoring process based on the data summary and export module; Reliability evaluation information of the machine tool is generated based on data generated by the monitoring device during the monitoring process.

7. The method according to claim 6, characterized in that The generating of the reliability evaluation information of the machine tool based on the data generated by the monitoring device during the monitoring process includes: Grouping the data according to a preset length to obtain sub-data segments; Calculating the standard deviation and volatility of each of the sub-data segments; Reliability evaluation information of the operating state of the machine tool is determined based on the standard deviation and the fluctuation rate.

8. The method according to claim 3 and claim 7, characterized in that The method also includes: when the connected power supply is not the standard power supply, the safety control module controls all modules of the monitoring device to be in a standby non-operating state, and displays the prompt information on the display screen; when the monitoring device is further confirmed to be started based on the prompt information, the monitoring device enters a normal operating state.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement the machine tool operation status monitoring method as described in any one of claims 6 to 8.

10. An electronic device, characterized in that: It includes at least one processor and a memory that is communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the at least one processor implements the machine tool operation status monitoring method as described in any one of claims 6 to 8 by executing the instructions stored in the memory.

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