Gearbox state monitoring method, device and equipment and storage medium
By analyzing the metal abrasive particles and oil quality data of the oil samples in the gearbox, the technical problems of gearbox status monitoring are solved, and accurate monitoring of the operating status of the gearbox and fault warning are achieved.
Patent Information
- Application Number
- CN202510226662.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-06-24
AI Technical Summary
How to effectively monitor the operating status of the gearbox to ensure system efficiency and stability.
The oil sample is collected from the target gearbox, and the first analysis is performed to obtain metal abrasive data, and the second analysis is performed to obtain oil quality data, and the status monitoring is performed based on these data.
It realizes accurate monitoring of the operating status of the gearbox, can timely determine the fault status and send warnings to ensure the normal operation of the system.
Smart Images
Figure CN120194928A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of data analysis technology, and in particular, to a method, device, equipment, and storage medium for monitoring the state of a gearbox. Background Art
[0002] In industrial production, as a key transmission component, the operating state of the gearbox is directly related to the efficiency and stability of the entire system. Therefore, how to monitor the operating state of the gearbox has become one of the important research directions in the industry. Summary of the Invention
[0003] The main purpose of this application is to provide a method, device, equipment, and storage medium for monitoring the state of a gearbox, aiming to solve the technical problem of how to monitor the operating state of the gearbox.
[0004] To achieve the above object, this application provides a method for monitoring the state of a gearbox, and the method includes the following steps:
[0005] Collect the first sample oil from the target gearbox, where the target gearbox is a gearbox that has been continuously operating for a preset duration;
[0006] Perform a first analysis on the first sample oil to obtain the first metal wear particle data corresponding to the first sample oil;
[0007] Perform a second analysis on the first sample oil to obtain the first oil quality data corresponding to the first sample oil;
[0008] Monitor the state of the target gearbox according to the first metal wear particle data and the first oil quality data.
[0009] In one embodiment, the step of performing a first analysis on the first sample oil to obtain the first metal wear particle data corresponding to the first sample oil includes:
[0010] Perform wear particle detection on the first sample oil to obtain the wear particle composition and wear particle concentration;
[0011] Perform a first analysis on the first sample oil according to the wear particle composition and the wear particle concentration to obtain the first metal wear particle data corresponding to the first sample oil, and the first metal wear particle data includes ferromagnetic wear particle data and non-ferromagnetic wear particle data.
[0012] In one embodiment, the step of performing wear particle detection on the first sample oil to obtain the wear particle composition and wear particle concentration includes:
[0013] Use high-voltage arc to excite the wear particle atoms in the first sample oil to the excited state, and obtain the radiation light corresponding to the excited wear particle atoms;
[0014] Determine the characteristic spectral lines corresponding to the radiation rays and the spectral intensity of the characteristic spectral lines;
[0015] Perform abrasive particle detection on the first sample of oil based on the characteristic spectral lines and the spectral intensity to obtain the abrasive particle composition and the abrasive particle concentration.
[0016] In one embodiment, the step of performing a second analysis on the first sample of oil to obtain the first oil quality data corresponding to the first sample of oil includes:
[0017] Evenly distribute the first sample of oil into an analysis device, the analysis device including a titrator, an LCR meter, a viscometer, and a temperature sensor;
[0018] Perform a second analysis on the first sample of oil through the analysis device to obtain the first oil quality data corresponding to the first sample of oil, the first oil quality data including moisture content, dielectric constant, viscosity, and temperature.
[0019] In one embodiment, the step of monitoring the state of the target gearbox according to the first metal abrasive particle data and the first oil quality data includes:
[0020] Monitor whether there is a fault in the target gearbox according to the first metal abrasive particle data and the first oil quality data;
[0021] If there is, determine that the current state of the target gearbox is a fault state, and immediately send a fault warning to the management personnel.
[0022] In one embodiment, after the step of monitoring whether there is a fault in the target gearbox according to the first metal abrasive particle data and the first oil quality data, it further includes:
[0023] If not, collect a second sample of oil from the target gearbox again, and analyze to obtain the second metal abrasive particle data and the second oil quality data corresponding to the second sample of oil;
[0024] If it is determined that there is no fault in the target gearbox according to the second metal abrasive particle data and the second oil quality data, determine that the current state of the target gearbox is a normal state.
[0025] In addition, to achieve the above object, the present application also proposes a gearbox state monitoring device, the gearbox state monitoring device including:
[0026] An oil collection module for collecting a first sample of oil from a target gearbox, the target gearbox being a gearbox that has been continuously operating for a preset duration;
[0027] A primary analysis module for performing a first analysis on the first sample oil to obtain first metal abrasive particle data corresponding to the first sample oil;
[0028] A secondary analysis module for performing a second analysis on the first sample oil to obtain first oil quality data corresponding to the first sample oil;
[0029] A condition monitoring module for performing condition monitoring on the target gearbox according to the first metal abrasive particle data and the first oil quality data.
[0030] In addition, to achieve the above object, the present application also proposes a gearbox condition monitoring device, which includes: a memory, a processor, and a gearbox condition monitoring program stored on the memory and executable on the processor. The gearbox condition monitoring program is configured to implement the steps of the gearbox condition monitoring method as described above.
[0031] In addition, to achieve the above object, the present application also proposes a storage medium, which is a computer-readable storage medium. A gearbox condition monitoring program is stored on the storage medium. When the gearbox condition monitoring program is executed by a processor, it implements the steps of the gearbox condition monitoring method as described above.
[0032] In addition, to achieve the above object, the present invention also provides a computer program product, which includes a gearbox condition monitoring program. When the gearbox condition monitoring program is executed by a processor, it implements the steps of the gearbox condition monitoring method as described above.
[0033] The present application collects a first sample oil from the target gearbox, where the target gearbox is a gearbox that has been continuously operating for a preset duration; performs a first analysis on the first sample oil to obtain first metal abrasive particle data corresponding to the first sample oil; performs a second analysis on the first sample oil to obtain first oil quality data corresponding to the first sample oil; and performs condition monitoring on the target gearbox according to the first metal abrasive particle data and the first oil quality data. The above method of the present application performs a first analysis and a second analysis on the first sample oil collected from the target gearbox respectively to obtain the first metal abrasive particle data and the first oil quality data corresponding to the first sample oil, so as to be able to accurately perform condition monitoring on the target gearbox based on the first metal abrasive particle data and the first oil quality data. Description of the Drawings
[0034] Figure 1 It is a schematic structural diagram of a gearbox condition monitoring device for the hardware operating environment involved in the embodiment solution of the present application;
[0035] Figure 2 Schematic flow diagram of the first embodiment of the gearbox condition monitoring method of the present application;
[0036] Figure 3 Schematic flow diagram of the second embodiment of the gearbox condition monitoring method of the present application;
[0037] Figure 4 Schematic flow diagram of the third embodiment of the gearbox condition monitoring method of the present application;
[0038] Figure 5 Block diagram of the structure of the first embodiment of the gearbox condition monitoring device of the present application.
[0039] The realization, functional features and advantages of the purpose of the present application will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners
[0040] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0041] Refer to Figure 1 , Figure 1 Schematic diagram of the structure of the gearbox condition monitoring device, which is the hardware operating environment involved in the solution of the embodiment of the present application.
[0042] As Figure 1 shown, the gearbox condition monitoring device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless-fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.
[0043] Those skilled in the art can understand that Figure 1 the structure shown in does not constitute a limitation on the gearbox condition monitoring device, and may include more or fewer components than shown, or combine some components, or different component arrangements.
[0044] As shown Figure 1 in FIG., the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a gearbox status monitoring program.
[0045] In Figure 1 the gearbox status monitoring device shown in FIG., the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the gearbox status monitoring device of the present application may be arranged in the gearbox status monitoring device. The gearbox status monitoring device calls the gearbox status monitoring program stored in the memory 1005 through the processor 1001 and executes the gearbox status monitoring method provided in the embodiment of the present application.
[0046] The embodiment of the present application provides a gearbox status monitoring method. Referring to Figure 2 , Figure 2 which is a schematic flowchart of the first embodiment of the gearbox status monitoring method of the present application.
[0047] In this embodiment, the gearbox status monitoring method includes the following steps:
[0048] Step S10: Collect a first sample of oil from a target gearbox, where the target gearbox is a gearbox that has been continuously operating for a preset duration.
[0049] It should be noted that the execution subject of the method in this embodiment may be a terminal device with data analysis, data processing, and program running functions, such as a smart phone, a computer, etc., or an electronic device with the same or similar functions, such as the above-mentioned gearbox status monitoring device. The following takes the gearbox status monitoring device as an example to illustrate this embodiment and the following embodiments.
[0050] It can be understood that the above-mentioned target gearbox is a mechanical device for transmitting power and rotational speed, mainly composed of components such as an input shaft, an output shaft, gears, and bearings; the above-mentioned first sample of oil may be the oil existing in the target gearbox that has been continuously operating for a preset duration. Among them, the preset duration can be defined by the user according to the actual usage scenario, such as 30 minutes, and this embodiment does not limit it. In particular, the above-mentioned target gearbox in this embodiment is mainly applied to an offshore wind turbine blade to transmit the power generated by the wind turbine blade under the action of wind (i.e., the mechanical energy of the rotation of the offshore wind turbine blade) to the generator and enable it to obtain the corresponding rotational speed, so that the generator can generate a stable current.
[0051] In a specific implementation, to avoid the influence of external contamination on the first sample of oil as much as possible, before collecting the first sample of oil, the dust around the nut at the pressure measurement point between the pump outlet and the filter of the target gearbox can be cleaned to ensure that the sampling point is clean; then a part of the old oil can be discharged first and then the first sample of oil can be collected to exclude the influence of contaminants on the sampling result. The specific discharge amount can be determined according to the size of the gearbox and the total amount of lubricating oil, such as 100 milliliters, 300 milliliters, etc., and this embodiment does not limit this.
[0052] Step S20: Perform a first analysis on the first sample of oil to obtain first metal abrasive particle data corresponding to the first sample of oil.
[0053] It should be noted that the above first metal abrasive particle data may include the number of abrasive particles in the first sample of oil, the shape and size of the abrasive particles, the composition of the abrasive particles, etc.
[0054] In a specific implementation, a particle size analyzer can be used to perform particle size analysis on the metal abrasive particles in the first sample of oil, so as to obtain the above first metal abrasive particle data. Of course, other analysis methods that can analyze the oil to obtain metal abrasive particle data are also applicable to this embodiment, such as spectral analysis methods, microscopic analysis methods, etc., which will not be elaborated here.
[0055] Step S30: Perform a second analysis on the first sample of oil to obtain first oil quality data corresponding to the first sample of oil.
[0056] It should be noted that the above first oil quality data may include moisture, dielectric constant, viscosity, temperature, acid value, base number, metal content, etc. contained in the first sample of oil.
[0057] In a specific implementation, a second analysis including analysis items such as moisture content analysis, dielectric constant analysis, viscosity analysis, temperature analysis, etc. of the above first sample of oil can be performed to obtain the above first oil quality data.
[0058] Step S40: Perform condition monitoring on the target gearbox according to the first metal abrasive particle data and the first oil quality data.
[0059] In a specific implementation, the wear state of the target gearbox can be judged by combining the above first metal abrasive particle data and first oil quality data. For example, if it is determined according to the first metal abrasive particle data and the first oil quality data that the content of metal abrasive particles in the first sample of oil increases and the number of large-sized abrasive particles increases, it may mean that there is an abnormal wear problem with the target gearbox; if it is determined according to the first metal abrasive particle data and the first oil quality data that the moisture and the number of abrasive particles in the first sample of oil increase simultaneously, it may mean that there are problems such as insufficient lubrication, material fatigue or other additional loads with the target gearbox.
[0060] In this embodiment, the first sample oil is collected from the target gearbox, which is a gearbox that has been continuously operating for a preset duration; the first sample oil is analyzed for the first time to obtain the first metal abrasive particle data corresponding to the first sample oil; the first sample oil is analyzed for the second time to obtain the first oil quality data corresponding to the first sample oil; and the state of the target gearbox is monitored based on the first metal abrasive particle data and the first oil quality data. The above method in this embodiment analyzes the first sample oil collected from the target gearbox for the first time and the second time respectively to obtain the first metal abrasive particle data and the first oil quality data corresponding to the first sample oil, so as to accurately monitor the state of the target gearbox based on the first metal abrasive particle data and the first oil quality data.
[0061] Reference Figure 3 , Figure 3 is a schematic flow chart of the second embodiment of the gearbox state monitoring method of this application.
[0062] In a feasible implementation manner, the step S20 may include:
[0063] Step S201: Perform abrasive particle detection on the first sample oil to obtain the abrasive particle composition and the abrasive particle concentration.
[0064] Step S202: Perform the first analysis on the first sample oil according to the abrasive particle composition and the abrasive particle concentration to obtain the first metal abrasive particle data corresponding to the first sample oil, where the first metal abrasive particle data includes ferromagnetic abrasive particle data and non-ferromagnetic abrasive particle data.
[0065] It should be noted that the above abrasive particle composition may include metal abrasive particles and non-metal abrasive particles. Among them, the metal abrasive particles mainly come from the wear of components such as gears and bearings, and the metal abrasive particles include iron filings, copper filings, etc. In particular, the state, size, and content of these metal abrasive particles can reflect the wear degree and wear type of the target gearbox. For example, large-sized metal abrasive particles may mean severe mechanical wear or component fracture, while small-sized, spherical metal abrasive particles may result from normal frictional wear. The above abrasive particle concentration refers to the content of abrasive particles in the first sample oil, and the size of the abrasive particle concentration can reflect the wear degree of the target gearbox. The higher the abrasive particle concentration, the more severe the wear of the target gearbox.
[0066] In a feasible implementation manner, the step S201 may include:
[0067] Step S2011: Use a high-voltage arc to excite the abrasive particles in the first sample oil to the excited state and obtain the radiation light corresponding to the excited abrasive particles.
[0068] It should be noted that a high-voltage arc is an excitation source, which can excite the abrasive particles atoms in the first sample oil by generating a high-intensity electric field and current.
[0069] In a specific implementation, after the abrasive particles atoms in the first sample oil absorb a certain amount of energy, the electrons are excited to a higher energy level but have not yet been ionized. When the abrasive particles atoms are affected by external forces (such as light, electricity, etc.), one or several of its electrons will absorb energy and transition to a higher energy level, so that the abrasive particles atoms are in a new state with higher energy, that is, the excited state. In the excited state, the abrasive particles atoms can emit the above-mentioned radiation light. The abrasive particles atoms in the excited state are unstable and will quickly return to the ground state, while releasing the excess energy.
[0070] Step S2012: Determine the characteristic spectral lines corresponding to the radiation light and the spectral intensity of the characteristic spectral lines.
[0071] It should be noted that the above-mentioned characteristic spectral lines refer to the unique spectral lines generated when various elements in the radiation light release or absorb electrons at specific energies. These spectral lines are like the "fingerprints" of elements, which can accurately reflect the electron binding energy characteristics of elements. The generation of characteristic spectral lines is closely related to the internal electron structure of atoms. An atom consists of a nucleus and extranuclear electrons. The electrons are arranged in layers around the nucleus, forming different electron shells. When an atom is irradiated by radiation with sufficient energy (such as X-rays), the inner electrons will be excited to form photoelectrons. These photoelectrons will carry away specific energies during the escape process, and these energies are manifested as characteristic spectral lines on the energy spectrum diagram. The above-mentioned spectral intensity is a physical quantity of the spectral line energy in the characteristic spectral lines, which is usually used to describe the intensity or energy of light at a specific wavelength or frequency, and reflects the energy magnitude or luminous intensity of the characteristic spectral lines.
[0072] Step S2013: Perform abrasive particle detection on the first sample oil according to the characteristic spectral lines and the spectral intensity to obtain the abrasive particle composition and the abrasive particle concentration.
[0073] In a feasible implementation manner, the step S30 may include:
[0074] Step S301: Uniformly distribute the first sample oil into an analysis device, and the analysis device includes a titrator, an LCR meter, a viscometer and a temperature sensor.
[0075] It should be noted that the above titrator is an instrument for automated titration experiments, and its basic principle is to perform quantitative analysis based on the chemical reaction between the standard solution and the solution to be measured; the above LCR meter is an electronic test instrument for testing inductance (L), capacitance (C), and resistance (R), and it can accurately and quickly measure the electrical characteristics of the component under test by applying different test signals and measurement circuits; the above viscometer is an instrument for measuring the viscosity of fluids (liquids and gases), and viscosity is a physical quantity representing the internal friction occurring within a fluid when it is flowing; the above temperature sensor is a sensor that can sense temperature changes and convert them into available output signals.
[0076] Step S302: Perform a second analysis on the first sample of oil by means of the analysis device to obtain first oil quality data corresponding to the first sample of oil, where the first oil quality data includes moisture content, dielectric constant, viscosity, and temperature.
[0077] It should be noted that the above moisture content refers to the amount of moisture mixed in the first sample of oil, and the presence of moisture will have an adverse impact on the performance of the gearbox oil and the operation of the gearbox, such as diluting the lubricating oil, reducing the lubricating performance, causing overheating and triggering high-temperature alarms, accelerating gear wear, and corroding the clutch, etc.; the above dielectric constant is a physical quantity describing the electrical properties of a substance, and it reflects the polarization ability of the substance in an electric field; the above viscosity is a physical quantity reflecting the magnitude of the internal frictional resistance within the oil when it is flowing, and viscosity has an important impact on the lubricating performance, transmission efficiency, and heat dissipation performance of the gearbox; the above temperature refers to the temperature state of the first sample of oil during the working process.
[0078] In this embodiment, a high-voltage arc is used to excite the abrasive particles in the first sample of oil to an excited state, and the radiation light corresponding to the excited abrasive particles is obtained; the characteristic spectral lines corresponding to the radiation light and the spectral intensity of the characteristic spectral lines are determined; the first sample of oil is subjected to abrasive particle detection based on the characteristic spectral lines and the spectral intensity to obtain the abrasive particle composition and the abrasive particle concentration; the first sample of oil is analyzed for the first time based on the abrasive particle composition and the abrasive particle concentration to obtain the first metal abrasive particle data corresponding to the first sample of oil, where the first metal abrasive particle data includes ferromagnetic abrasive particle data and non-ferromagnetic abrasive particle data; the first sample of oil is evenly distributed to an analysis device, and the analysis device includes a titrator, an LCR meter, a viscometer, and a temperature sensor; the first sample of oil is analyzed for the second time by the analysis device to obtain the first oil quality data corresponding to the first sample of oil, where the first oil quality data includes moisture, dielectric constant, viscosity, and temperature. The above method in this embodiment analyzes the first sample of oil for the first time based on the abrasive particle composition and the abrasive particle concentration in the first sample of oil, and at the same time analyzes the first sample of oil by a titrator, an LCR meter, a viscometer, and a temperature sensor for the second time, thereby ensuring the data accuracy of the first metal abrasive particle data and the first oil quality data.
[0079] Reference Figure 4 , Figure 4 is a schematic flowchart of the third embodiment of the gearbox condition monitoring method of the present application.
[0080] In a feasible implementation manner, the step S40 may include:
[0081] Step S401: Monitor whether there is a fault in the target gearbox according to the first metal abrasive particle data and the first oil quality data.
[0082] In a specific implementation, the above first metal abrasive particle data and first oil quality data can be screened to determine whether there are abnormal data in the first metal abrasive particle data and the first oil quality data, so as to monitor whether there is a fault in the target gearbox. For example, if the number of abrasive particles increases significantly and the moisture content is high at the same time, it may indicate problems such as insufficient lubrication, high temperature, or contamination in the target gearbox; if the number of abrasive particles and the viscosity increase simultaneously, it may indicate that the target gearbox is operating abnormally, resulting in lubricant aging.
[0083] Step S402: If there is, determine that the current state of the target gearbox is a fault state, and immediately send a fault warning to the management personnel.
[0084] It should be understood that if there are abnormal data in the first metal abrasive particle data or the first oil quality data, it can be determined that there is a fault in the target gearbox.
[0085] In a feasible implementation, after the step S401, the following steps may further be included:
[0086] Step S403: If not, re-collect the second sample oil from the target gearbox, and analyze to obtain the second metal abrasive particle data and the second oil quality data corresponding to the second sample oil.
[0087] Step S404: If it is determined that there is no fault in the target gearbox according to the second metal abrasive particle data and the second oil quality data, determine that the current state of the target gearbox is a normal state.
[0088] It should be understood that in this embodiment, if there are no abnormal data in the first metal abrasive particle data and the first oil quality data, due to the existence of occasionality, it still cannot be determined that there is no fault in the target gearbox. Therefore, at this time, the second sample oil can be re-collected from the target gearbox, and the second metal abrasive particle data and the second oil quality data corresponding to the second sample oil are analyzed. If it is determined that there is no fault in the target gearbox according to the second metal abrasive particle data and the second oil quality data, the current state of the target gearbox can be determined to be a normal state.
[0089] In this embodiment, whether there is a fault in the target gearbox is monitored according to the first metal abrasive particle data and the first oil quality data; if there is, determine that the current state of the target gearbox is a fault state, and immediately send a fault warning to the management personnel; if not, re-collect the second sample oil from the target gearbox, and analyze to obtain the second metal abrasive particle data and the second oil quality data corresponding to the second sample oil; if it is determined that there is no fault in the target gearbox according to the second metal abrasive particle data and the second oil quality data, determine that the current state of the target gearbox is a normal state. The above method in this embodiment monitors whether there is a fault in the target gearbox according to the first metal abrasive particle data and the first oil quality data to perform state monitoring on the target gearbox, so as to more accurately determine whether the target gearbox is in a fault state or a normal state.
[0090] In addition, an embodiment of the present application further proposes a storage medium, on which a gearbox state monitoring program is stored. When the gearbox state monitoring program is executed by a processor, the steps of the gearbox state monitoring method as described above are implemented.
[0091] Refer to Figure 5 , Figure 5 which is the structural block diagram of the first embodiment of the gearbox state monitoring device of the present application.
[0092] As Figure 5 shown, the gearbox state monitoring device proposed by the embodiment of the present application includes:
[0093] An oil sampling module 501 is configured to collect a first sample of oil from a target gearbox, where the target gearbox is a gearbox that has been continuously operating for a preset duration.
[0094] A primary analysis module 502 is configured to perform a first analysis on the first sample of oil to obtain first metal abrasive particle data corresponding to the first sample of oil.
[0095] A secondary analysis module 503 is configured to perform a second analysis on the first sample of oil to obtain first oil quality data corresponding to the first sample of oil.
[0096] A condition monitoring module 504 is configured to perform condition monitoring on the target gearbox according to the first metal abrasive particle data and the first oil quality data.
[0097] In this embodiment, a first sample of oil is collected from a target gearbox, where the target gearbox is a gearbox that has been continuously operating for a preset duration; a first analysis is performed on the first sample of oil to obtain first metal abrasive particle data corresponding to the first sample of oil; a second analysis is performed on the first sample of oil to obtain first oil quality data corresponding to the first sample of oil; and condition monitoring is performed on the target gearbox according to the first metal abrasive particle data and the first oil quality data. By respectively performing a first analysis and a second analysis on the first sample of oil collected from the target gearbox in the above method of this embodiment, first metal abrasive particle data and first oil quality data corresponding to the first sample of oil are obtained, so that accurate condition monitoring of the target gearbox can be realized based on the first metal abrasive particle data and the first oil quality data.
[0098] Based on the first embodiment of the gearbox condition monitoring device of the present application, a second embodiment of the gearbox condition monitoring device of the present application is proposed.
[0099] In this embodiment, the primary analysis module 502 is further configured to perform abrasive particle detection on the first sample of oil to obtain abrasive particle composition and abrasive particle concentration; and perform a first analysis on the first sample of oil according to the abrasive particle composition and the abrasive particle concentration to obtain first metal abrasive particle data corresponding to the first sample of oil, where the first metal abrasive particle data includes ferromagnetic abrasive particle data and non-ferromagnetic abrasive particle data.
[0100] Further, the primary analysis module 502 is further configured to use a high-voltage arc to excite abrasive particle atoms in the first sample of oil to an excited state, and obtain radiation light corresponding to the excited abrasive particle atoms; determine characteristic spectral lines corresponding to the radiation light and spectral intensities of the characteristic spectral lines; and perform abrasive particle detection on the first sample of oil according to the characteristic spectral lines and the spectral intensities to obtain abrasive particle composition and abrasive particle concentration.
[0101] Further, the secondary analysis module 503 is further configured to evenly distribute the first sample of oil to an analysis device, which includes a titrator, an LCR meter, a viscometer, and a temperature sensor; perform a second analysis on the first sample of oil through the analysis device to obtain first oil quality data corresponding to the first sample of oil, where the first oil quality data includes moisture, dielectric constant, viscosity, and temperature.
[0102] Further, the status monitoring module 504 is further configured to monitor whether there is a fault in the target gearbox according to the first metal abrasive particle data and the first oil quality data; if so, determine that the current status of the target gearbox is a fault status, and immediately send a fault warning to the management personnel.
[0103] Further, the status monitoring module 504 is further configured to, if not, re-collect a second sample of oil from the target gearbox, and analyze to obtain second metal abrasive particle data and second oil quality data corresponding to the second sample of oil; if it is determined that there is no fault in the target gearbox according to the second metal abrasive particle data and the second oil quality data, determine that the current status of the target gearbox is a normal status.
[0104] Other embodiments or specific implementation manners of the gearbox status monitoring device of the present application may refer to the above method embodiments, which will not be elaborated here.
[0105] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or system including that element.
[0106] The serial numbers of the embodiments of the present application above are only for description and do not represent the advantages and disadvantages of the embodiments.
[0107] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory / random access memory, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present application.
[0108] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.
Claims
1. A gearbox condition monitoring method, characterized in that: The method comprises the following steps: Collecting a first sample of oil from a target gearbox, wherein the target gearbox is a gearbox that has been running continuously for a preset time period; Performing a first analysis on the first sample oil to obtain first metal wear particle data corresponding to the first sample oil; performing a second analysis on the first sample oil to obtain first oil quality data corresponding to the first sample oil; The target gearbox is condition-monitored according to the first metal abrasive particle data and the first oil quality data.
2. The gearbox condition monitoring method according to claim 1, characterized in that: The step of performing a first analysis on the first sample oil to obtain first metal abrasive particle data corresponding to the first sample oil includes: Performing wear particle detection on the first sample oil to obtain wear particle composition and wear particle concentration; The first sample oil is analyzed for the first time according to the abrasive particle composition and the abrasive particle concentration to obtain first metal abrasive particle data corresponding to the first sample oil, wherein the first metal abrasive particle data includes ferromagnetic abrasive particle data and non-ferromagnetic abrasive particle data.
3. The gearbox condition monitoring method according to claim 2, characterized in that: The step of performing wear particle detection on the first sample oil to obtain the wear particle composition and wear particle concentration includes: Using a high voltage arc to knock the abrasive atoms in the first sample oil into an excited state, and obtaining radiation light corresponding to the excited abrasive atoms; Determining a characteristic spectral line corresponding to the radiation light and a spectral intensity of the characteristic spectral line; The first sample oil is subjected to wear particle detection according to the characteristic spectrum line and the spectrum intensity to obtain wear particle composition and wear particle concentration.
4. The gearbox condition monitoring method according to claim 1, characterized in that: The step of performing a second analysis on the first sample oil to obtain first oil quality data corresponding to the first sample oil includes: uniformly distributing the first sample oil into an analysis device, the analysis device comprising a titrator, an LCR meter, a viscometer, and a temperature sensor; The first sample oil is analyzed for a second time by the analysis device to obtain first oil quality data corresponding to the first sample oil, wherein the first oil quality data includes water content, dielectric constant, viscosity and temperature.
5. The gearbox condition monitoring method according to claim 1, characterized in that: The step of monitoring the state of the target gearbox according to the first metal abrasive particle data and the first oil quality data comprises: monitoring whether there is a fault in the target gearbox according to the first metal abrasive particle data and the first oil quality data; If yes, the current state of the target gearbox is determined to be a fault state, and a fault warning is immediately sent to the management personnel.
6. The gearbox condition monitoring method according to claim 5, characterized in that: After the step of monitoring whether there is a fault in the target gearbox according to the first metal abrasive particle data and the first oil quality data, the method further includes: If not, recollecting a second sample oil from the target gearbox, and analyzing to obtain second metal abrasive particle data and second oil quality data corresponding to the second sample oil; If it is determined that no fault exists in the target gearbox according to the second metal abrasive particle data and the second oil quality data, the current state of the target gearbox is determined to be a normal state.
7. A gearbox condition monitoring device, characterized in that: The gearbox condition monitoring device comprises: An oil collection module, used to collect a first sample oil from a target gearbox, wherein the target gearbox is a gearbox that has been running continuously for a preset time period; a primary analysis module, used for performing a first analysis on the first sample oil to obtain first metal wear particle data corresponding to the first sample oil; a secondary analysis module, used for performing a second analysis on the first sample oil to obtain first oil quality data corresponding to the first sample oil; A state monitoring module is used to perform state monitoring on the target gearbox according to the first metal abrasive particle data and the first oil quality data.
8. A gearbox condition monitoring device, characterized in that: The device comprises: a memory, a processor, and a gearbox condition monitoring program stored in the memory and executable on the processor, wherein the gearbox condition monitoring program is configured to implement the steps of the gearbox condition monitoring method according to any one of claims 1 to 6.
9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a gearbox state monitoring program is stored on the storage medium. When the gearbox state monitoring program is executed by a processor, the steps of the gearbox state monitoring method according to any one of claims 1 to 6 are implemented.
10. A computer program product, characterized in that The computer program product comprises a gearbox condition monitoring program, and when the gearbox condition monitoring program is executed by a processor, the steps of the gearbox condition monitoring method according to any one of claims 1 to 6 are implemented.