Machine tool state monitoring method and device, machine tool base and monitoring system

Abstract

The embodiment of the invention provides a machine tool state monitoring method and device, a machine tool base and a monitoring system.The method comprises the steps that a preset modeling algorithm is adopted, a three-dimensional model of the machine tool base is constructed, and a sensor position is installed at the preset position of the three-dimensional model; preset simulation software is adopted to generate a simulation excitation signal, the simulation excitation signal is input into the three-dimensional model of the machine tool base, and a feedback signal of the sensor is obtained; when the amplitude of the feedback signal is larger than a preset value, the preset position is set as a target installation position, and the target installation position is used for installing various sensors on the machine tool base. A vibration signal or a temperature signal can be monitored, and the monitoring accuracy is improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent machine tools, and more specifically, to a machine tool status monitoring method, device, machine tool base and monitoring system. Background Art

[0002] The digital economy era is supported by new technologies such as digitization, networking, and intelligence, with scientific and technological innovation as the core driving force and the deepening of high-tech applications as the main feature. The intelligent development of machine tools will also be an inevitable choice. For example, during the use of machine tools, vibrations will occur, which will lead to the following problems: the workpiece size is accurate, but the surface finish is poor; the workpiece has a taper head phenomenon; the arc processing effect is not ideal, and the size is not in place; the workpiece size is only a few inches different from the actual size. Therefore, how to accurately monitor the health status of the machine tool is an urgent problem to be solved. Summary of the invention

[0003] The purpose of some embodiments of the present application is to provide a machine tool status monitoring method, device, machine tool base and monitoring system. Through the technical solution of the embodiments of the present application, a three-dimensional model of the machine tool base is constructed by adopting a preset modeling algorithm, and a sensor position is installed at a preset position of the three-dimensional model; a simulation excitation signal is generated by using preset simulation software, and the simulation excitation signal is input into the three-dimensional model of the machine tool base to obtain a feedback signal of the sensor; when the amplitude of the feedback signal is greater than a preset value, the preset position is set as a target installation position, and the target installation position is used to install various sensors on the machine tool base. The embodiments of the present application monitor the feedback signal of the machine tool by installing the required sensors at the optimal monitoring position on the machine tool base. For example, vibration signals or temperature signals can be monitored to improve the accuracy of monitoring.

[0004] In a first aspect, some embodiments of the present application provide a machine tool condition monitoring method, comprising:

[0005] A preset modeling algorithm is used to construct a three-dimensional model of the machine tool base, and a sensor position is installed at a preset position of the three-dimensional model;

[0006] Using preset simulation software to generate a simulation excitation signal, inputting the simulation excitation signal into the three-dimensional model of the machine tool base, and obtaining a feedback signal from the sensor;

[0007] When the amplitude of the feedback signal is greater than a preset value, the preset position is set as a target installation position, and the target installation position is used to install various sensors on the machine tool base.

[0008] Some embodiments of the present application monitor the feedback signals of the machine tool by installing the required sensors at the optimal monitoring position on the machine tool base, for example, the vibration signal or the temperature signal can be monitored to improve the accuracy of monitoring.

[0009] Optionally, the preset modeling algorithm includes at least two-dimensional modeling software or three-dimensional modeling software.

[0010] Optionally, the method further comprises:

[0011] In the case where a target sensor is added to the target installation position of the three-dimensional model of the machine tool base, the bearing load of the machine tool base is obtained;

[0012] When the bearing load is less than the load threshold, the machine tool base on which the target sensor is installed at the target installation position is determined as the target machine tool base.

[0013] In a second aspect, some embodiments of the present application provide a machine tool condition monitoring device, including:

[0014] A construction module, used to construct a three-dimensional model of the machine tool base by using a preset modeling algorithm, and a sensor position is installed at a preset position of the three-dimensional model;

[0015] A simulation module, used to generate a simulation excitation signal using preset simulation software, input the simulation excitation signal into the three-dimensional model of the machine tool base, and obtain a feedback signal from the sensor;

[0016] The determination module is used to set the preset position as the target installation position when the amplitude of the feedback signal is greater than the preset value. The target installation position is used to install various sensors on the machine tool base.

[0017] Some embodiments of the present application monitor the feedback signals of the machine tool by installing the required sensors at the optimal monitoring position on the machine tool base, for example, the vibration signal or the temperature signal can be monitored to improve the accuracy of monitoring.

[0018] Optionally, the preset modeling algorithm includes at least two-dimensional modeling software or three-dimensional modeling software.

[0019] Optionally, the determining module is used to:

[0020] In the case where a target sensor is added to the target installation position of the three-dimensional model of the machine tool base, the bearing load of the machine tool base is obtained;

[0021] When the bearing load is less than the load threshold, the machine tool base on which the target sensor is installed at the target installation position is determined as the target machine tool base.

[0022] In a third aspect, some embodiments of the present application provide a machine tool base, wherein the machine tool base is obtained by using the machine tool status monitoring method described in the first aspect.

[0023] Optionally, a sensor slot is provided at the target installation position of the machine tool base, and a target sensor is installed in the sensor slot.

[0024] Optionally, the method further comprises:

[0025] The machine tool base is filled with composite minerals.

[0026] In a fourth aspect, some embodiments of the present application provide a machine tool status monitoring system, the machine tool status monitoring system comprising an acquisition module, a control module, a display module and an alarm module; the control module is connected to the acquisition module, the display module and the alarm module respectively; the acquisition module is installed in any one of the machine tool bases described in the second aspect;

[0027] The acquisition module is used to acquire machine tool parameter signals, and the machine tool parameter signals at least include an internal signal source and an external signal source;

[0028] The control module is used to process the machine tool parameter signal to obtain a processed signal;

[0029] The alarm module is used to display an alarm message if the processed signal is an abnormal signal;

[0030] The display module is used to display the machine tool parameter signal and alarm information.

[0031] The embodiment of the present application pre-configures its vibration sensors and other equipment on the machine tool base, and can perform real-time vibration data analysis and fault diagnosis, and determine the fault location; diagnose whether internal vibration and external vibration have an impact, and provide a reference for determining whether the machine tool is placed stably during installation. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of some embodiments of the present application, the drawings required for use in some embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 A flow chart of a machine tool status monitoring method provided in an embodiment of the present application;

[0034] Figure 2A flowchart of another machine tool status monitoring method provided in an embodiment of the present application;

[0035] Figure 3 A schematic diagram of the structure of a machine tool assembly provided in an embodiment of the present application;

[0036] Figure 4 A schematic diagram of the installation of the sensor provided in the embodiment of the present application;

[0037] Figure 5 A schematic diagram of a sensor slot provided in an embodiment of the present application;

[0038] Figure 6 A schematic diagram of a sensor quick-insert fixing slot provided in an embodiment of the present application;

[0039] Figure 7 A schematic diagram of the structure of a machine tool provided in an embodiment of the present application;

[0040] Figure 8 A schematic diagram of the process flow provided for the embodiment of the present application;

[0041] Fig. 9 A schematic diagram of the structure of a machine tool status monitoring device provided in an embodiment of the present application;

[0042] Fig.10 A schematic diagram of the structure of a machine tool status monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The technical solutions in some embodiments of the present application will be described below in conjunction with the drawings in some embodiments of the present application.

[0044] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0045] The digital economy era is supported by new technologies such as digitization, networking, and intelligence, with scientific and technological innovation as the core driving force and the deepening of high-tech applications as its main feature. The intelligent development of machine tools will also be an inevitable choice. During the use of the machine tool, vibration will be generated, which will lead to the following problems: the workpiece size is accurate, but the surface finish is poor; the workpiece has a taper head phenomenon; the arc processing effect is not ideal, and the size is not in place; the workpiece size is only a few inches different from the actual size. Therefore, how to accurately monitor the vibration (operating status) of the machine tool is a problem that needs to be solved urgently. In view of this, some embodiments of the present application provide a machine tool state monitoring method, which includes using a preset modeling algorithm to construct a three-dimensional model of the machine tool base, and a sensor position is installed at a preset position of the three-dimensional model; using preset simulation software to generate a simulation excitation signal, and inputting the simulation excitation signal into the three-dimensional model of the machine tool base to obtain a feedback signal from the sensor; when the amplitude of the feedback signal is greater than the preset value, the preset position is set as the target installation position, and the target installation position is used to install various sensors on the machine tool base. The embodiment of the present application monitors the feedback signal of the machine tool by installing the required sensor at the optimal monitoring position on the machine tool base. For example, the vibration signal or the temperature signal can be monitored to improve the accuracy of the monitoring.

[0046] like Figure 1 As shown, an embodiment of the present application provides a machine tool state monitoring method, the method comprising:

[0047] S101, using a preset modeling algorithm to construct a three-dimensional model of a machine tool base, wherein a sensor position is installed at a preset position of the three-dimensional model;

[0048] The preset modeling algorithm includes at least two-dimensional modeling software or three-dimensional modeling software.

[0049] The terminal device can use two-dimensional modeling software or three-dimensional modeling software to generate a three-dimensional model of the machine tool base, and set the installation position of the sensor at some positions of the base of the three-dimensional model; the machine tool base can be an integrally formed machine tool base or a segmented cast machine tool base.

[0050] Among them, vibration sensors, temperature sensors, and stress-strain sensors can be installed at the sensor location. These sensors can also be installed in the compound machine tool in advance to provide data feedback signals for the development of intelligent machine tools.

[0051] S102, using preset simulation software to generate a simulation excitation signal, inputting the simulation excitation signal into the three-dimensional model of the machine tool base, and obtaining a feedback signal from the sensor;

[0052] Specifically, a preset simulation software is installed on the terminal device, and the three-dimensional model of the machine tool base is imported into the preset simulation software. At the same time, a simulation excitation signal is generated, and the simulation excitation signal is input into the three-dimensional model of the machine tool base to obtain a feedback signal from the sensor.

[0053] S103. When the amplitude of the feedback signal is greater than a preset value, the preset position is set as a target installation position, and the target installation position is used to install various sensors on the machine tool base.

[0054] Specifically, the terminal equipment analyzes the vibration characteristics of the structure under actual operating conditions by calculating the excitation characteristics under fluctuating speed or load. For example, if the excitation characteristics are added to the spindle or grinding wheel of a grinding machine, the maximum displacement point of the base is the optimal sensor layout position. If the excitation characteristics are added above the guide rail, the maximum displacement point of the base is the optimal sensor layout position. For external excitation characteristics, sensor positions can be designed at the four corners.

[0055] Without interfering with the operation of functional components, it is preferred to embed its sensors in the machine tool base to obtain machine tool health data. The required sensors need to be installed at the optimal monitoring position on the machine tool base to monitor the feedback signals of the machine tool. For example, vibration signals or temperature signals can be monitored to improve the accuracy of monitoring.

[0056] Some embodiments of the present application monitor the feedback signals of the machine tool by installing the required sensors at the optimal monitoring position on the machine tool base. For example, the vibration signal or temperature signal can be monitored to improve the monitoring accuracy. The vibration sensor and other equipment are pre-configured on the machine tool base, and real-time vibration data analysis and fault diagnosis can be performed to determine the fault location; internal and external vibrations can be diagnosed to determine whether they have an impact on the machine tool, and a reference can be provided to determine whether the machine tool is placed stably during the installation process.

[0057] Another embodiment of the present application further supplements the machine tool status monitoring method provided in the above embodiment.

[0058] Optionally, the method further comprises:

[0059] When a target sensor is added to a target installation position of the three-dimensional model of the machine tool base, the bearing load of the machine tool base is obtained;

[0060] When the bearing load is less than the load threshold, the machine tool base on which the target sensor is installed at the target installation position is determined as the target machine tool base.

[0061] like Figure 2As shown, the embodiment of the present application reaches the optimal sensor internal machine tool status monitoring point through simulation analysis, adds external vibration source monitoring points, and performs structural optimization, and then adopts mineral casting molding technology to obtain its intelligent machine tool base;

[0062] Step 1: Obtain the optimal placement position of the vibration sensor based on ANSYS;

[0063] Import its model into the software, and analyze the vibration characteristics of the structure under real operating conditions by calculating the excitation characteristics under fluctuating speed or load. For example, if the spindle or grinding wheel of a grinding machine adds excitation characteristics, the maximum displacement point of the base is the best sensor layout position. If the excitation characteristics above the guide rail are added, the maximum displacement point of the base is the best sensor layout position. For external excitation characteristics, the sensor positions can be designed at the four corners.

[0064] Step 2: Based on the original machine tool base structure and the optimal position of the sensor, the structure is designed. The optimal position of the sensor is set in the mineral filling space. The machine tool base adopts a cast iron frame plus a composite mineral base. The position of the sensor retaining groove is designed. Before the composite mineral is injected, the sensor retaining groove 6 is installed and the sensor quick-insert fixing groove 7 is fixed;

[0065] Step 3: Simulate and optimize the base based on ANSYS, and calculate the load to be carried;

[0066] Step 4: Determine whether the mechanical properties meet the requirements. The load that the base can bear is more than 3 times the actual load.

[0067] Step 5, obtain the intelligent machine tool base structure and manufacture it; the manufacturing includes casting the casting first, removing burrs, inserting its sensor retention groove 6, injecting composite minerals, and processing the machine tool base after the composite minerals solidify.

[0068] It should be noted that each implementable method in this embodiment may be implemented separately, or may be implemented in combination in any combination without conflict, and this application is not limited thereto.

[0069] Another embodiment of the present application provides a machine tool status monitoring device, which is used to execute the machine tool status monitoring method provided in the above embodiment.

[0070] like Fig. 9 , which is a schematic diagram of the structure of a machine tool status monitoring device provided in an embodiment of the present application. The machine tool status monitoring device includes a construction module 901, a simulation module 902 and a determination module 903, wherein:

[0071] The construction module 901 is used to construct a three-dimensional model of the machine tool base using a preset modeling algorithm, and a sensor position is installed at a preset position of the three-dimensional model;

[0072] The simulation module 902 is used to use preset simulation software to generate a simulation excitation signal, input the simulation excitation signal into the three-dimensional model of the machine tool base, and obtain the feedback signal of the sensor;

[0073] The determination module 903 is used to set the preset position as the target installation position when the amplitude of the feedback signal is greater than the preset value. The target installation position is used to install various sensors on the machine tool base.

[0074] Some embodiments of the present application monitor the feedback signals of the machine tool by installing the required sensors at the optimal monitoring position on the machine tool base, for example, the vibration signal or the temperature signal can be monitored to improve the accuracy of monitoring.

[0075] Regarding the device in this embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0076] Another embodiment of the present application further supplements the machine tool status monitoring device provided in the above embodiment.

[0077] Optionally, the preset modeling algorithm includes at least two-dimensional modeling software or three-dimensional modeling software.

[0078] Optionally, the determination module is used to:

[0079] When a target sensor is added to a target installation position of the three-dimensional model of the machine tool base, the bearing load of the machine tool base is obtained;

[0080] When the bearing load is less than the load threshold, the machine tool base on which the target sensor is installed at the target installation position is determined as the target machine tool base.

[0081] Regarding the device in this embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0082] It should be noted that each implementable method in this embodiment may be implemented separately, or may be implemented in combination in any combination without conflict, and this application is not limited thereto.

[0083] The embodiment of the present application also provides a machine tool base, which is obtained by using the above-mentioned machine tool status monitoring method.

[0084] Optionally, a sensor slot is provided at the target installation position of the machine tool base, and the target sensor is installed in the sensor slot.

[0085] Optionally, the method further comprises:

[0086] Composite mineral filling is used in the machine tool base.

[0087] like Figure 3 As shown, in the embodiment of the present application, the raw material of cast iron is used to cast various parts of the machine tool base 1 through a mold, and the various parts are spliced ​​into the whole of the machine tool base 1, which is convenient for the transportation and installation of the machine tool base (casting shell) 1; the composite mineral is poured into the mineral filling position 2 of the receiving tank above the spliced ​​machine tool base 1. This base can be a spliced ​​base or an integrally formed base. Figure 3 The main components are cast iron shell 1 and mineral 2; the viscosity of composite minerals is used to connect the components of each machine tool base 1 to improve the stability of the machine tool base 1 and avoid the loosening of the bolts of the machine tool base 1 due to the vibration of the machine tool during use; in addition, the composite minerals also have high shock absorption, which can improve the shock absorption effect of the machine tool base 1; at the same time, the mechanical properties of composite minerals are not as good as those of cast iron materials, that is, the composite mineral castings after solidification are easy to break and affect their application in heavy load or high stress environments. Therefore, the entire machine tool base 1 of the embodiment of the present application is not made of composite minerals, because all composite mineral castings are used, on the one hand, the cost is high; on the other hand, it is easy to bump during transportation, so the entire machine tool base 1 is a cast iron part with high structural strength, and the composite minerals are cast in the receiving tank, and the cast iron parts will protect the composite minerals. The manufacturing method of the machine tool base 1 of the embodiment of the present application combines the advantages of cast iron materials and composite minerals, avoids their respective shortcomings, so that the manufactured machine tool base 1 has a stable structure, good shock absorption effect, and meets the mechanical properties.

[0088] like Figure 8 As shown, the process flow is as follows:

[0089] S801, casting the cast iron three-dimensional model by sand casting;

[0090] S802, installing the processed retaining groove 6;

[0091] S803, pouring the composite minerals into a holding tank;

[0092] S804, after condensation, install the sensor;

[0093] S805. Test the machine tool status monitoring system during installation;

[0094] like Figure 4 As shown, a sensor retaining groove 6 and a sensor quick-insertion fixing groove 7 are provided on the machine tool, wherein: Figure 5 Leave slot 6 for the sensor, Figure 6 The sensor is fast-inserted into the fixing slot 7. Figure 7 It includes grinding wheel mounting position 3, guide rail mounting position 4, and sensor mounting position (all circled ones are sensor mounting positions).

[0095] Some embodiments of the present application provide a machine tool status monitoring system, which includes a collection unit, a control unit, a display unit, and an alarm unit; the control unit is connected to the collection unit, the display unit, and the alarm unit respectively; the collection unit is installed in any of the above-mentioned machine tool bases;

[0096] The acquisition unit is used to acquire machine tool parameter signals, and the machine tool parameter signals at least include an internal signal source and an external signal source;

[0097] The control unit is used to process the machine tool parameter signal to obtain a processed signal;

[0098] The alarm unit is used to display alarm information if the processed signal is an abnormal signal;

[0099] The display unit is used to display machine parameter signals and alarm information.

[0100] Specifically, Fig.10 As shown, the embodiment of the present application combines the sensor position arrangement to realize the functions of obtaining, diagnosing, and warning vibration information;

[0101] Build a fault diagnosis system based on vibration analysis, that is, a machine tool condition monitoring system, which obtains machine tool vibration information data through sensors and stores its abnormal data for subsequent fault diagnosis and alarm prompts;

[0102] The fault diagnosis system based on vibration analysis can play an important role in the equipment installation and leveling process. The installation plane of the machine tool guide rail is extremely important. If the base is not placed stably before scraping, it may cause its positioning accuracy to be poor after running for a period of time. Therefore, the machine tool should be placed stably and adjusted to a level, which can be judged by vibration.

[0103] The fault diagnosis system of vibration analysis includes: acquisition unit (vibration sensor), control unit (control main board), display unit (display screen), alarm unit (abnormal alarm device) and communication module;

[0104] The vibration sensor obtains the vibration source, including internal vibration source acquisition and external vibration source acquisition; it is fixed in the airport base through its sensor quick-plug fixing slot 7, and its sensor quick-plug fixing slot is embedded and waterproof and can be quickly installed and removed.

[0105] The control motherboard realizes continuous learning and storage of data, and sends and receives information;

[0106] The display screen shows real-time vibration data, and the CNC system display screen can be used when the machine tool is installed;

[0107] Abnormal alarm equipment, through data accumulation, when the machine tool has abnormal vibration, the amplitude of the machine tool vibration should be below 0.05mm, and it is considered abnormal if it is greater than 0.05mm, and the abnormal position is determined and prompted, and an early warning is given;

[0108] The communication module can be connected to other devices and can also be used for secondary development.

[0109] The embodiment of the present application pre-configures its vibration sensors and other equipment on the machine tool base, and can perform real-time vibration data analysis and fault diagnosis, and determine the fault location; diagnose whether internal vibration and external vibration have an impact, and provide a reference for determining whether the machine tool is placed stably during installation.

[0110] The above are only embodiments of the present application and are not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0111] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0112] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A machine tool condition monitoring method, characterized in that: The method comprises: A preset modeling algorithm is used to construct a three-dimensional model of the machine tool base, and a sensor position is installed at a preset position of the three-dimensional model; Using preset simulation software to generate a simulation excitation signal, inputting the simulation excitation signal into the three-dimensional model of the machine tool base, and obtaining a feedback signal from the sensor; When the amplitude of the feedback signal is greater than a preset value, the preset position is set as a target installation position, and the target installation position is used to install various sensors on the machine tool base.

2. The machine tool condition monitoring method according to claim 1, characterized in that: The preset modeling algorithm includes at least two-dimensional modeling software or three-dimensional modeling software.

3. The machine tool condition monitoring method according to claim 1, characterized in that: The method further comprises: In the case where a target sensor is added to the target installation position of the three-dimensional model of the machine tool base, the bearing load of the machine tool base is obtained; When the bearing load is less than the load threshold, the machine tool base on which the target sensor is installed at the target installation position is determined as the target machine tool base.

4. A machine tool condition monitoring device, characterized in that: The device comprises: A construction module, used to construct a three-dimensional model of the machine tool base by using a preset modeling algorithm, and a sensor position is installed at a preset position of the three-dimensional model; A simulation module, used to generate a simulation excitation signal using preset simulation software, input the simulation excitation signal into the three-dimensional model of the machine tool base, and obtain a feedback signal from the sensor; The determination module is used to set the preset position as the target installation position when the amplitude of the feedback signal is greater than the preset value. The target installation position is used to install various sensors on the machine tool base.

5. The machine tool status monitoring device according to claim 4, characterized in that: The preset modeling algorithm includes at least two-dimensional modeling software or three-dimensional modeling software.

6. The machine tool status monitoring device according to claim 4, characterized in that: The determining module is used to: In the case where a target sensor is added to the target installation position of the three-dimensional model of the machine tool base, the bearing load of the machine tool base is obtained; When the bearing load is less than the load threshold, the machine tool base on which the target sensor is installed at the target installation position is determined as the target machine tool base.

7. A machine tool base, characterized in that: The machine tool base is obtained by using the machine tool status monitoring method as described in any one of claims 1-8.

8. The machine tool base according to claim 7, characterized in that: A sensor slot is provided at the target installation position of the machine tool base, and a target sensor is installed in the sensor slot.

9. The machine tool base according to claim 7, characterized in that: The method further comprises: The machine tool base is filled with composite minerals.

10. A machine tool condition monitoring system, characterized in that: The machine tool status monitoring system comprises a collection unit, a control unit, a display unit and an alarm unit; the control unit is connected to the collection unit, the display unit and the alarm unit respectively; the collection unit is installed in the machine tool base as described in any one of claims 7 to 9; The acquisition unit is used to acquire machine tool parameter signals, and the machine tool parameter signals at least include an internal signal source and an external signal source; The control unit is used to process the machine tool parameter signal to obtain a processed signal; The alarm unit is used to display an alarm message if the processed signal is an abnormal signal; The display unit is used to display the machine tool parameter signal and alarm information.

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