Method and system for predicting residual service life of ventilation system under mine

Abstract

The invention relates to a method and system for predicting the remaining service life of an underground ventilation system, and belongs to the technical field of air door motor maintenance. The method includes determining an initial degradation rate of the damper motor. And fusing the obtained motor state parameters and the dynamic environment parameters to determine parameter influence factors which influence the degradation of the motor. And correcting the initial degradation rate by using the parameter influence factor to obtain an adjusted degradation rate. Therefore, the remaining service life of the air door motor is determined, and an air door motor maintenance plan is generated to maintain the air door motor under the mine. The system comprises a data acquisition module, an initial degradation rate calculation module, an environmental parameter fusion module, a dynamic adjustment module, a life prediction module and a maintenance plan generation module. According to the method and the system, the influence of the dynamic environment on the degradation of the air door motor is considered, the accuracy of predicting the residual service life of the air door motor is improved, and the efficient maintenance of the air door motor is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of damper motor maintenance, and in particular to a method and system for predicting the remaining service life of an underground mine ventilation system. Background Art

[0002] Mine ventilation systems are core facilities for ensuring safe production underground, and the core of these systems is the damper motor. The service life of the damper motor impacts the lifespan of the mine ventilation system, and its reliable operation is directly related to the stability of the ventilation network and the safety of miners. Due to the complex underground environment, the damper motor's long-term exposure to alternating loads and harsh conditions significantly reduces its service life. Failure to promptly predict and subsequently repair or replace the damper motor can significantly impact ventilation operations underground.

[0003] To address this issue, methods have been proposed to predict the remaining useful life of damper motors in mines. However, traditional prediction methods ignore the complex operating conditions of underground environments, such as high dust levels, high humidity, and strong electromagnetic interference. Under these conditions, the degradation of key damper motor components (such as bearings and winding insulation) exhibits significant nonlinear characteristics. Consequently, using traditional linear prediction methods can result in significant errors.

[0004] Currently, there is a lack of a prediction method that can effectively solve the above defects.

[0005] The information disclosed in this background technology section is only intended to enhance understanding of the overall background of the invention and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to overcome the above-mentioned defects and provide a method and system for predicting the remaining service life of a damper motor of an underground mine ventilation system.

[0007] On the one hand, in order to solve the above technical problems, the technical solution provided by the present invention is: a method for predicting the remaining service life of a damper motor in an underground ventilation system in a mine, comprising the following steps: according to a time series, obtaining motor state parameters related to the operation of the damper motor, and determining the initial degradation rate of the damper motor based on the motor state parameters; according to a time series, obtaining dynamic environmental parameters related to the operation of the damper motor, and fusing the dynamic environmental parameters with the motor state parameters to determine the parameter influencing factors affecting the service life of the damper motor; based on a preset dynamic adjustment algorithm, using the parameter influencing factors to perform nonlinear correction on the initial degradation rate to obtain an adjusted degradation rate; based on the adjusted degradation rate, determining the remaining service life of the damper motor; based on the determined remaining service life of the damper motor, generating a damper motor maintenance plan, thereby maintaining the damper motor in the mine.

[0008] Optionally, the motor state parameters include at least the motor vibration amplitude , winding temperature and current fluctuation value .

[0009] Optionally, the initial degradation rate is expressed by the following formula:

[0010]

[0011] in, is the initial degradation rate, is the degradation of the motor performance parameters in the i-th time window, is the length of the corresponding time window, g is the time attenuation coefficient, is the end time of the current time window, is the initial moment.

[0012] Optionally, the dynamic environmental parameters include at least environmental dust concentration D, air humidity H and electromagnetic interference intensity M.

[0013] Optionally, the parameter influencing factor is expressed by the following formula:

[0014] Among them, K is the parameter influencing factor, 、 、 、 、 、 are the measured values of ambient dust concentration, air humidity, electromagnetic interference intensity and vibration amplitude, winding temperature and current fluctuation value at the i-th moment respectively; 、 、 、 、 、 These are the rated maximum values of ambient dust concentration, air humidity, electromagnetic interference intensity, motor vibration amplitude, winding temperature and current fluctuation value; 、 、 、 、 、 They are the weight coefficients of ambient dust concentration, air humidity, electromagnetic interference intensity and vibration amplitude, winding temperature and current fluctuation value.

[0015] Optionally, the preset dynamic adjustment algorithm is based on which the parameter influence factor is used to perform nonlinear correction on the initial degradation rate to obtain an adjusted degradation rate, including: using an exponential function to convert the parameter influence factor to obtain a nonlinear adjustment factor. This step can be expressed by the following formula:

[0016]

[0017] in, is the nonlinear adjustment factor, is the nonlinear adjustment coefficient (which can be calibrated through experiments or historical data);

[0018] The initial degradation rate and the nonlinear adjustment factor are combined to obtain the adjusted degradation rate. This step can be expressed by the following formula:

[0019]

[0020] in, represents the adjusted degradation rate.

[0021] Optionally, determining the remaining service life of the damper motor based on the adjusted degradation rate includes: obtaining a life attenuation amount of the damper motor based on the determined adjusted degradation rate, as shown in the following formula:

[0022]

[0023] in, is the life reduction of the damper motor, is the total length of the time window;

[0024] Then the remaining service life is obtained as shown below:

[0025]

[0026] Among them, RUL represents the remaining service life of the damper motor, and Pmax represents the rated service life of the damper motor.

[0027] Optionally, the maintenance plan includes a three-level early warning mechanism: When the threshold is at the first preset level, the first warning mechanism is triggered; when When the second preset threshold is reached, the second warning mechanism is triggered; when When the third preset threshold is reached, the third early warning mechanism is triggered.

[0028] On the other hand, the present invention also provides a prediction system for the remaining service life of the damper motor of the underground ventilation system in a mine, including: a data acquisition module for acquiring motor state parameters and dynamic environmental parameters in real time; an initial degradation rate calculation module for determining the initial degradation rate based on the motor state parameters; an environmental parameter fusion module for fusing the dynamic environmental parameters with the motor state parameters to generate a parameter influencing factor; a dynamic adjustment module for performing nonlinear correction on the initial degradation rate using the parameter influencing factor; a life prediction module for calculating the remaining service life based on the adjusted degradation rate; and a maintenance plan generation module for generating a maintenance plan including a three-level early warning mechanism based on the remaining service life.

[0029] Optionally, the data acquisition module includes a vibration sensor, a temperature sensor, a current transformer, a dust concentration detector, a hygrometer and an electromagnetic interference monitor, wherein the vibration sensor is used to collect the vibration amplitude of the motor, the temperature sensor is used to monitor the winding temperature, the current transformer is used to detect the current fluctuation value, the dust concentration detector is used to obtain the ambient dust concentration, the hygrometer is used to measure the air humidity, and the electromagnetic interference monitor is used to monitor the electromagnetic interference intensity.

[0030] The present invention first determines the initial degradation rate of the damper motor during use by using motor state parameters related to the damper motor's operation. Then, by integrating dynamic environmental parameters with the motor state parameters, it determines the parameter influencing factors that affect the damper motor's service life under multiple operating conditions. The initial degradation rate is then adjusted using this parameter influencing factor, and the damper motor's service life is determined based on the adjusted degradation rate. This generates a maintenance plan for maintaining the damper motor. By taking into account the influencing factors under complex operating conditions, the present invention improves the accuracy of predicting the remaining service life of the damper motor, achieves efficient maintenance of the damper motor, and thus ensures the prediction of the service life of the underground mine ventilation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a flow chart of a method for predicting the remaining service life of an underground mine ventilation system provided by an embodiment of the present invention; DETAILED DESCRIPTION

[0032] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present disclosure. Rather, they are merely examples of devices consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0033] As mentioned above, traditional prediction methods ignore the complex operating conditions of underground environments, such as high dust levels, high humidity, and strong electromagnetic interference. Under these conditions, the degradation process of key components of damper motors (such as bearings and winding insulation) exhibits significant nonlinear characteristics. Consequently, using traditional linear prediction methods can result in significant errors. To address this issue, the present invention proposes a method and system for predicting the remaining useful life of damper motors in mines, addressing this issue. This invention achieves this goal through the following approach.

[0034] Example 1:

[0035] Please refer to the instruction manual Figure 1 As shown in the figure, this embodiment 1 provides a method for predicting the remaining service life of an underground ventilation system in a mine. The method includes:

[0036] S100, acquiring motor state parameters related to the operation of the damper motor according to the time series, and determining an initial degradation rate of the damper motor based on the motor state parameters;

[0037] S200, acquiring dynamic environmental parameters related to the operation of the damper motor according to the time series, and fusing the dynamic environmental parameters with the motor state parameters to determine parameter influencing factors affecting the service life of the damper motor;

[0038] S300, based on a preset dynamic adjustment algorithm, using the parameter influencing factor to perform nonlinear correction on the initial degradation rate to obtain an adjusted degradation rate;

[0039] S400, determining the remaining service life of the damper motor based on the adjusted degradation rate;

[0040] S500: Generate a maintenance plan for the damper motor according to the determined remaining service life of the damper motor, thereby maintaining the damper motor in the mine.

[0041] The present invention uses motor state parameters related to damper motor operation to first determine the initial degradation rate of the damper motor during use. Then, by integrating dynamic environmental parameters with the motor state parameters, it determines the parameter influencing factors that affect the damper motor's service life under multiple operating conditions. This parameter influencing factor is then used to adjust the initial degradation rate. The damper motor's service life is then determined based on the adjusted degradation rate, thereby generating a maintenance plan for maintaining the damper motor. By taking into account the influencing factors under complex operating conditions, the present invention improves the accuracy of predicting the remaining service life of the damper motor and achieves efficient maintenance of the damper motor.

[0042] Example 2:

[0043] Based on the above embodiment, in order to further explain the present invention clearly and completely, the present invention also provides a second embodiment. In this second embodiment, through expert experience, model learning and equipment instruction manual, it is determined that the motor state parameters at least include motor vibration amplitude, winding temperature and current fluctuation value. The definition values are respectively recorded as 、 、 .

[0044] Optionally, the motor state parameters obtained based on the time series are shown in the following formula:

[0045] (1)

[0046] in, yes A fixed time interval, is a natural number, , i is the i-th time period, and i is a natural number; They are The measured value of the motor vibration amplitude in each time period; They are The measured value of the winding temperature in each time period; They are The measured value of the winding temperature during a period of time.

[0047] Based on the above motor state parameters, the initial degradation rate of the damper motor of the present invention is expressed by the following formula:

[0048] (2)

[0049] in, is the initial degradation rate, is the degradation of the motor performance parameters in the i-th time window, is the length of the corresponding time window, is the time attenuation coefficient, is the end time of the current time window, is the initial moment.

[0050] Optionally, the degradation amount of the motor performance parameter in the i-th time window is expressed by the following formula:

[0051] (3)

[0052] in, 、 、 The parameter weights representing the motor vibration amplitude, winding temperature and current fluctuation value respectively.

[0053] In the second embodiment, through expert experience and model learning, the dynamic environmental parameters are determined to include at least environmental dust concentration, air humidity, and electromagnetic interference intensity, and their defined values are denoted as D, H, and M respectively.

[0054] Optionally, the dynamic environment parameters obtained based on the time series are as follows:

[0055] (4)

[0056] in, yes A fixed time interval, is a natural number, , i is the i-th time period, and i is a natural number; They are The measured value of ambient dust concentration in each time period; They are The measured value of air humidity in a certain period of time; They are The measured value of the electromagnetic interference intensity over a period of time.

[0057] Based on the above dynamic environmental parameters, the parameter influencing factors affecting the service life of the damper motor described in the present invention can be expressed by the following formula:

[0058] (5)

[0059] Among them, K is the parameter influencing factor, 、 、 These are the rated maximum values for ambient dust concentration, air humidity and electromagnetic interference intensity respectively; 、 、 These are the rated maximum values of machine vibration amplitude, winding temperature and current fluctuation value respectively; 、 、 、 、 、 They are the weight coefficients of ambient dust concentration, air humidity, electromagnetic interference intensity and vibration amplitude, winding temperature and current fluctuation value.

[0060] In the second embodiment, before step S300, the prediction method may further include:

[0061] Use the exponential function to transform the parameter influencing factor to obtain the nonlinear adjustment factor. This step can be expressed by the following formula:

[0062] (6)

[0063] in, is the nonlinear adjustment factor, is the nonlinear adjustment coefficient (which can be calibrated through experiments or historical data).

[0064] The initial degradation rate and the nonlinear adjustment factor are combined to obtain the adjusted degradation rate. This step can be expressed by the following formula:

[0065] (7)

[0066] in, represents the adjusted degradation rate.

[0067] In the second embodiment, based on the determined adjusted degradation rate, the life attenuation of the damper motor is obtained, as shown in the following formula:

[0068] (8)

[0069] in, is the life reduction of the damper motor, is the total length of the time window.

[0070] Then the remaining service life is obtained as shown below:

[0071] (9)

[0072] Among them, RUL represents the remaining service life of the damper motor, and Pmax represents the rated service life of the damper motor.

[0073] In the second embodiment, based on the service life of the damper motor obtained above, a maintenance plan for the damper motor is generated, including:

[0074] Level 1 warning: When 15<RUL≤30 days, a yellow alert is triggered and the online monitoring system is activated to strengthen sampling;

[0075] Level 2 warning: When 7<RUL≤15 days, an orange alert is triggered and a maintenance work order is automatically issued to the dispatch system;

[0076] Level 3 warning: When 0<RUL≤7 days, a red alarm is triggered, the forced shutdown procedure is executed and the backup motor is started.

[0077] Example 3:

[0078] Based on the same general inventive concept, the present invention also provides a system for predicting the remaining useful life of an underground mine ventilation system, comprising:

[0079] Data acquisition module, used to obtain motor state parameters and dynamic environment parameters in real time;

[0080] an initial degradation rate calculation module, configured to determine an initial degradation rate based on the motor state parameters;

[0081] Environmental parameter fusion module, used to fuse dynamic environmental parameters with motor state parameters to generate parameter influencing factors;

[0082] Dynamic adjustment module, used to perform nonlinear correction on the initial degradation rate using parameter influencing factors;

[0083] Life prediction module, used to calculate the remaining service life based on the adjusted degradation rate;

[0084] The maintenance plan generation module is used to generate a maintenance plan including a three-level early warning mechanism based on the remaining service life.

[0085] Optionally, the data acquisition module includes a vibration sensor, a temperature sensor, a current transformer, a dust concentration detector, a hygrometer and an electromagnetic interference monitor, wherein the vibration sensor is used to collect the vibration amplitude of the motor, the temperature sensor is used to monitor the winding temperature, the current transformer is used to detect the current fluctuation value, the dust concentration detector is used to obtain the ambient dust concentration, the hygrometer is used to measure the air humidity, and the electromagnetic interference monitor is used to monitor the electromagnetic interference intensity.

[0086] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0087] Additionally, the terms "system" and "network" are often used interchangeably. The term "and / or" is simply used to describe a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " generally indicates an "or" relationship between the related objects.

[0088] It should be understood that in the embodiments of the present invention, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should also be understood that determining B based on A does not mean determining B based solely on A; B can also be determined based on A and / or other information.

[0089] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0090] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0091] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0092] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0093] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0094] From the above description of the embodiments, it will be apparent to those skilled in the art that the present invention can be implemented using hardware, firmware, or a combination thereof. When implemented using software, the aforementioned functionality may be stored in a computer-readable medium or transmitted as one or more instructions or codes on the computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media includes any medium that facilitates the transfer of computer programs from one location to another. Storage media can be any available medium that can be accessed by a computer. By way of example and not limitation, computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer. Furthermore, any suitable connection may constitute a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of the medium. As used herein, the terms "disk" and "disc" include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), floppy disks, and Blu-ray discs. Disks typically reproduce data magnetically, while discs use lasers to reproduce data optically. Combinations of the above should also be included within the scope of protection for computer-readable media.

[0095] In short, the above description is only a preferred embodiment of the technical solution of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.

Claims

1. A method for predicting the remaining service life of an underground mine ventilation system, characterized in that: The following steps are involved: Acquiring motor state parameters related to the operation of the damper motor according to the time series, and determining an initial degradation rate of the damper motor based on the motor state parameters; Acquire dynamic environmental parameters related to the operation of the damper motor according to the time series, and fuse the dynamic environmental parameters with the motor state parameters to determine parameter influencing factors affecting the service life of the damper motor; Based on a preset dynamic adjustment algorithm, the parameter influencing factor is used to perform nonlinear correction on the initial degradation rate to obtain an adjusted degradation rate; determining a remaining useful life of the damper motor based on the adjusted degradation rate; Based on the determined remaining service life of the damper motor, a maintenance plan for the damper motor is generated, thereby performing maintenance on the damper motor in the mine.

2. The prediction method according to claim 1, characterized in that The motor state parameters include at least the motor vibration amplitude , winding temperature and current fluctuation value .

3. The prediction method according to claim 1, wherein: The initial degradation rate is expressed by the following formula: in, is the initial degradation rate, is the degradation of the motor performance parameters in the i-th time window, is the length of the corresponding time window, g is the time attenuation coefficient, is the end time of the current time window, is the initial moment.

4. The prediction method according to claim 2, characterized in that The dynamic environmental parameters include at least environmental dust concentration D, air humidity H and electromagnetic interference intensity M.

5. The prediction method according to claim 4, characterized in that The parameter influencing factor is expressed by the following formula: Among them, K is the parameter influencing factor, 、 、 、 、 、 are the measured values of ambient dust concentration, air humidity, electromagnetic interference intensity and vibration amplitude, winding temperature and current fluctuation value at the i-th moment respectively; 、 、 、 、 、 These are the rated maximum values of ambient dust concentration, air humidity, electromagnetic interference intensity, motor vibration amplitude, winding temperature and current fluctuation value; 、 、 、 、 、 They are the weight coefficients of ambient dust concentration, air humidity, electromagnetic interference intensity and vibration amplitude, winding temperature and current fluctuation value.

6. The prediction method according to claim 5, characterized in that The preset dynamic adjustment algorithm is based on which the parameter influencing factor is used to perform nonlinear correction on the initial degradation rate to obtain an adjusted degradation rate, including: Use the exponential function to transform the parameter influencing factor to obtain the nonlinear adjustment factor. This step can be expressed by the following formula: in, is the nonlinear adjustment factor, is the nonlinear adjustment coefficient (which can be calibrated through experiments or historical data); The initial degradation rate and the nonlinear adjustment factor are combined to obtain the adjusted degradation rate. This step can be expressed by the following formula: in, represents the adjusted degradation rate.

7. The prediction method according to claim 6, characterized in that Determining the remaining useful life of the damper motor based on the adjusted degradation rate includes: Based on the determined adjusted degradation rate, the life reduction of the damper motor is obtained as shown in the following formula: in, is the life reduction of the damper motor, is the total length of the time window; Then the remaining service life is obtained as shown below: Among them, RUL represents the remaining service life of the damper motor, and Pmax represents the rated service life of the damper motor.

8. The prediction method according to claim 1, wherein: The maintenance plan includes a three-level early warning mechanism: when When the first preset threshold is reached, a first early warning mechanism is triggered; when When the second preset threshold is reached, a second early warning mechanism is triggered; when When the third preset threshold is reached, the third early warning mechanism is triggered.

9. A system for predicting the remaining useful life of an underground mine ventilation system, characterized in that: include: Data acquisition module, used to obtain motor state parameters and dynamic environment parameters in real time; an initial degradation rate calculation module, configured to determine an initial degradation rate based on the motor state parameters; Environmental parameter fusion module, used to fuse dynamic environmental parameters with motor state parameters to generate parameter influencing factors; Dynamic adjustment module, used to perform nonlinear correction on the initial degradation rate using parameter influencing factors; Life prediction module, used to calculate the remaining service life based on the adjusted degradation rate; The maintenance plan generation module is used to generate a maintenance plan including a three-level early warning mechanism based on the remaining service life.

10. The prediction system according to claim 9, characterized in that: The data acquisition module includes a vibration sensor, a temperature sensor, a current transformer, a dust concentration detector, a hygrometer and an electromagnetic interference monitor, wherein the vibration sensor is used to collect the vibration amplitude of the motor, the temperature sensor is used to monitor the winding temperature, the current transformer is used to detect the current fluctuation value, the dust concentration detector is used to obtain the ambient dust concentration, the hygrometer is used to measure the air humidity, and the electromagnetic interference monitor is used to monitor the electromagnetic interference intensity.

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