Method for monitoring wear degree of coal mill lining plate based on vibration spectrum and related equipment

Abstract

The present invention discloses a method and related equipment for monitoring the wear degree of the mill liner based on the vibration spectrum, belonging to the field of mill monitoring. Based on the vibration spectrum, this method selects the characteristic spectrum related to the state of the mill liner in the vibration spectrum, that is, the steel ball slipping characteristic frequency. By comparing the steel ball slipping frequency obtained through on-site monitoring with the steel ball slipping characteristic frequency, the wear condition of the mill liner in the cylinder can be effectively determined. Using this method, there is no need to disassemble the mill, and it is not restricted by time and space, so that the wear degree of the mill liner in the cylinder can be monitored timely and accurately. At the same time, according to the wear condition of the liner, the wear condition and replacement condition of the liner can be evaluated, effectively ensuring the normal and efficient operation of the liner, reducing the operation cost of the mill, and improving the safe production operation level of the thermal power plant.

Description

Technical Field

[0001] The present invention belongs to the field of coal mill monitoring, and particularly relates to a method for monitoring the wear degree of coal mill liners based on vibration spectrum and related equipment. Background Art

[0002] Coal mills are important components of thermal power plant operating equipment and are used to grind crushed coal into pulverized coal. Maintaining the stable operation of coal mills is the key to ensuring the long-term safe and stable operation of the unit. In power plants, ball coal mills have a wide range of coal adaptability and reliable operation, accounting for more than 60% of the total amount of various coal mills. During the operation of a ball coal mill, steel balls and coal blocks are driven to rotate by the cylindrical liners with a certain shape, and as the cylinder rotates at an appropriate speed, the steel balls and coal blocks inside the cylinder are driven to a certain height due to inertia and then perform a parabolic motion. The raw coal is ground into qualified pulverized coal through the actions of rolling, impact, and extrusion.

[0003] Liners for preventing the wear of coal mills by steel balls and coal are assembled inside the coal mill cylinder. There are various types of liners, such as rectangular, wavy, etc. By using this irregular shape, a certain potential energy and throwing kinetic energy are imparted to the steel balls to achieve the functions of steel ball impact and pulverized coal grinding. When the wear of the liner reaches a certain degree, the surface of the liner will become smooth, the coal grinding efficiency will decrease, and the liner itself will also be prone to fragmentation due to the thinning of its thickness. If the liner fails, the cylinder will be directly damaged by the impact of steel balls and materials. Therefore, the wear amount of the liner needs to be monitored key points and replaced regularly. Currently, the wear degree of the liner can only be measured by manual measurement and ultrasonic measurement during major overhauls and disassembly. The measurement method is greatly limited by time and space, and the liner state cannot be detected in a timely manner, and the frequency of replacing the liner cannot be determined. Summary of the Invention

[0004] To overcome the shortcomings of the above technologies, the present invention provides a method for monitoring the wear degree of coal mill liners based on vibration spectrum and related equipment, which can solve the technical problem that the existing monitoring measures cannot monitor the wear degree of liners in real time and accurately.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] A method for monitoring the wear degree of coal mill liners based on vibration spectrum, comprising:

[0007] Obtaining a test bearing housing vibration spectrum diagram according to the test vibration frequency data of the coal mill bearing housing;

[0008] Obtaining the steel ball sliding characteristic frequencies corresponding to different wear degrees of the coal mill liner according to the test bearing housing vibration spectrum diagram;

[0009] Vibrate the bearing seat of the on-site coal mill for monitoring to obtain the vibration frequency spectrum diagram of the on-site bearing seat;

[0010] Based on the vibration frequency spectrum diagram of the on-site bearing seat, obtain the steel ball slipping frequency corresponding to the lining plate of the on-site coal mill;

[0011] Compare the steel ball slipping frequency with the steel ball slipping characteristic frequency, and judge the wear degree of the lining plate of the on-site coal mill according to the comparison result.

[0012] Furthermore, according to different monitoring states of the lining plate of the coal mill, obtain multiple steel ball slipping characteristic frequencies corresponding to different wear degrees of the lining plate of the coal mill.

[0013] Furthermore, according to different monitoring states of the lining plate of the coal mill, obtain 3 steel ball slipping characteristic frequencies, including the steel ball slipping characteristic frequency f1 corresponding to a 25% wear ratio of the lining plate of the coal mill, the steel ball slipping characteristic frequency f2 corresponding to 50%, and the steel ball slipping characteristic frequency f3 corresponding to 70%.

[0014] Furthermore, among them, the steel ball slipping frequency corresponding to the lining plate of the on-site coal mill is f;

[0015] When f > f1, judge that the wear ratio of the lining plate of the on-site coal mill is less than 25%;

[0016] When f2 < f < f1, judge that the wear ratio of the lining plate of the on-site coal mill is between 25% and 50%.

[0017] Furthermore, when f3 < f < f2, judge that the wear ratio of the lining plate of the on-site coal mill is between 50% and 70%.

[0018] Furthermore, when f < f3, judge that the wear ratio of the lining plate of the on-site coal mill exceeds 70%.

[0019] Furthermore, it also includes: before judging the wear degree of the lining plate of the on-site coal mill, compare the status information of the coal mill with the status information of the on-site coal mill according to the ledger information.

[0020] A monitoring system for the wear degree of the lining plate of a coal mill based on vibration frequency spectrum, used to implement the steps of the above method for monitoring the wear degree of the lining plate of a coal mill based on vibration frequency spectrum, and is characterized by including:

[0021] A vibration frequency spectrum acquisition module, used to obtain the test bearing seat vibration frequency spectrum diagram according to the test vibration frequency data of the bearing seat of the coal mill;

[0022] A characteristic frequency acquisition module, used to obtain the steel ball slipping characteristic frequencies corresponding to different wear degrees of the lining plate of the coal mill according to the test bearing seat vibration frequency spectrum diagram;

[0023] A monitoring module, which is used to monitor the vibration of the on-site bearing housing of the coal mill and obtain the vibration frequency spectrum diagram of the on-site bearing housing;

[0024] A slipping frequency acquisition module, which is used to obtain the steel ball slipping frequency corresponding to the on-site coal mill lining plate according to the vibration frequency spectrum diagram of the on-site bearing housing;

[0025] A comparison and judgment module, which is used to compare the steel ball slipping frequency with the steel ball slipping characteristic frequency, and judge the wear degree of the on-site coal mill lining plate according to the comparison result.

[0026] A monitoring device for the wear degree of a coal mill lining plate, characterized by comprising:

[0027] A memory, which is used to store a computer program;

[0028] A processor, which is used to implement the steps of the above-mentioned method for monitoring the wear degree of a coal mill lining plate based on vibration frequency spectrum when executing the computer program.

[0029] A computer-readable storage medium, the computer-readable storage medium stores a computer program, characterized in that the computer program is used to implement the steps of the above-mentioned method for monitoring the wear degree of a coal mill lining plate based on vibration frequency spectrum when executed by a processor.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention also provides a method for monitoring the wear degree of a coal mill lining plate based on vibration frequency spectrum. Based on the vibration frequency spectrum, this method selects the characteristic frequency spectrum related to the state of the coal mill lining plate in the vibration frequency spectrum, that is, the steel ball slipping characteristic frequency. By comparing the steel ball slipping frequency obtained from on-site monitoring with the steel ball slipping characteristic frequency, the wear condition of the coal mill lining plate inside the cylinder can be effectively measured; using this method, there is no need to disassemble the coal mill, and it is not restricted by time and space, and the wear degree of the coal mill lining plate inside the cylinder can be monitored timely and accurately. At the same time, according to the wear condition of the lining plate, the wear condition and replacement condition of the lining plate can be evaluated, effectively ensuring the normal and efficient operation of the lining plate, reducing the operation cost of the coal mill, and improving the safe production operation level of the thermal power plant.

[0032] Preferably, according to different monitoring states of the coal mill lining plate, such as the attention monitoring state, the close monitoring state and the lining plate replacement state, this method selects multiple steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill lining plate according to the typical monitoring states.

[0033] Further preferably, three steel ball sliding characteristic frequencies are selected in this method, namely the steel ball sliding characteristic frequency f1 corresponding to a 25% wear ratio of the coal mill liner, the steel ball sliding characteristic frequency f2 corresponding to a 50% wear ratio, and the steel ball sliding characteristic frequency f3 corresponding to a 70% wear ratio. In this way, by comparing the monitored steel ball sliding frequency with the above three steel ball sliding characteristic frequencies, the wear degree of the current coal mill liner can be efficiently judged, so as to change the monitoring status of the current coal mill.

[0034] Preferably, in this method, a comparison link is added, that is, before judging the wear degree of the on-site coal mill liner, according to the ledger information, the status information of the coal mill is compared with the status information of the on-site coal mill. In this way, for the coal mill liners in the same ledger status, the monitoring accuracy of this method is higher. Description of the Drawings

[0035] Figure 1 It is a flowchart of a method for monitoring the wear degree of a coal mill liner based on vibration spectrum provided by the present invention;

[0036] Figure 2 It is a schematic structural diagram of a system for monitoring the wear degree of a coal mill liner based on vibration spectrum provided by the present invention. Detailed Embodiments

[0037] The present invention provides a method for monitoring the wear degree of a coal mill liner based on vibration spectrum, as Figure 1 shown, including the following steps:

[0038] S1: Obtain the test bearing housing vibration spectrum diagram according to the test vibration frequency data of the coal mill bearing housing.

[0039] S2: Obtain the steel ball sliding characteristic frequencies corresponding to different wear degrees of the coal mill liner according to the test bearing housing vibration spectrum diagram. Among them, according to different monitoring statuses of the coal mill liner, three steel ball sliding characteristic frequencies can be obtained, including the steel ball sliding characteristic frequency f1 corresponding to a 25% wear ratio of the coal mill liner, the steel ball sliding characteristic frequency f2 corresponding to a 50% wear ratio, and the steel ball sliding characteristic frequency f3 corresponding to a 70% wear ratio.

[0040] S3: Conduct vibration monitoring on the on-site coal mill bearing housing to obtain the on-site bearing housing vibration spectrum diagram;

[0041] S4: Obtain the steel ball sliding frequency corresponding to the on-site coal mill liner according to the on-site bearing housing vibration spectrum diagram;

[0042] S5: Compare the steel ball sliding frequency with the steel ball sliding characteristic frequency, and judge the wear degree of the on-site coal mill liner according to the comparison result.

[0043] Among them, the steel ball slipping frequency corresponding to the on-site coal mill liner is f; the steel ball slipping frequency f is compared with the steel ball slipping characteristic frequencies f1, f2, and f3 in S2, and the results are as follows:

[0044] When f > f1, it is judged that the wear ratio of the on-site coal mill liner is less than 25%;

[0045] When f2 < f < f1, it is judged that the wear ratio of the on-site coal mill liner is between 25% and 50%.

[0046] When f3 < f < f2, it is judged that the wear ratio of the on-site coal mill liner is between 50% and 70%.

[0047] When f < f3, it is judged that the wear ratio of the on-site coal mill liner exceeds 70%.

[0048] In addition, before judging the wear degree of the on-site coal mill liner, according to the ledger information, the status information of the coal mill is compared with the status information of the on-site coal mill. In this way, the monitoring accuracy of the coal mill liner in the same ledger status can be higher by using this method.

[0049] As Figure 2 shown, the present invention also provides a monitoring system for the wear degree of a coal mill liner based on vibration spectrum, including: a vibration spectrum acquisition module, configured to obtain a test bearing housing vibration spectrum diagram according to the test vibration frequency data of the coal mill bearing housing; a characteristic frequency acquisition module, configured to obtain the steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill liner according to the test bearing housing vibration spectrum diagram; a monitoring module, configured to perform vibration monitoring on the on-site coal mill bearing housing to obtain an on-site bearing housing vibration spectrum diagram; a slipping frequency acquisition module, configured to obtain the steel ball slipping frequency corresponding to the on-site coal mill liner according to the on-site bearing housing vibration spectrum diagram; a comparison and judgment module, configured to compare the steel ball slipping frequency with the steel ball slipping characteristic frequencies, and judge the wear degree of the on-site coal mill liner according to the comparison result.

[0050] The present invention also provides a monitoring device for the wear degree of a coal mill liner, including: a memory, configured to store a computer program; a processor, configured to implement the steps of the method for monitoring the wear degree of a coal mill liner based on vibration spectrum when executing the computer program.

[0051] When the processor executes the computer program, it implements the steps of the above-mentioned monitoring of the wear degree of the coal mill lining plate based on the vibration spectrum. For example: based on the test vibration frequency data of the coal mill bearing seat, obtain the test bearing seat vibration spectrum diagram; based on the test bearing seat vibration spectrum diagram, obtain the steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill lining plate; conduct vibration monitoring on the on-site coal mill bearing seat to obtain the on-site bearing seat vibration spectrum diagram; based on the on-site bearing seat vibration spectrum diagram, obtain the steel ball slipping frequency corresponding to the on-site coal mill lining plate; compare the steel ball slipping frequency with the steel ball slipping characteristic frequencies, and judge the wear degree of the on-site coal mill lining plate according to the comparison result.

[0052] Alternatively, when the processor executes the computer program, it implements the functions of each module in the above system. For example: the vibration spectrum acquisition module is used to obtain the test bearing seat vibration spectrum diagram based on the test vibration frequency data of the coal mill bearing seat; the characteristic frequency acquisition module is used to obtain the steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill lining plate based on the test bearing seat vibration spectrum diagram; the monitoring module is used to conduct vibration monitoring on the on-site coal mill bearing seat to obtain the on-site bearing seat vibration spectrum diagram; the slipping frequency acquisition module is used to obtain the steel ball slipping frequency corresponding to the on-site coal mill lining plate based on the on-site bearing seat vibration spectrum diagram; the comparison and judgment module is used to compare the steel ball slipping frequency with the steel ball slipping characteristic frequencies and judge the wear degree of the on-site coal mill lining plate according to the comparison result.

[0053] Exemplarily, the computer program can be divided into one or more modules / units. The one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of completing preset functions, and the instruction segments are used to describe the execution process of the computer program in the device for monitoring the wear degree of the coal mill lining plate based on the vibration spectrum. For example, the computer program can be divided into an acquisition vibration spectrum acquisition module, a characteristic frequency acquisition module, a monitoring module, a slipping frequency acquisition module, and a comparison and judgment module; the specific functions of each module are as follows: the vibration spectrum acquisition module is used to obtain the test bearing seat vibration spectrum diagram based on the test vibration frequency data of the coal mill bearing seat; the characteristic frequency acquisition module is used to obtain the steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill lining plate based on the test bearing seat vibration spectrum diagram; the monitoring module is used to conduct vibration monitoring on the on-site coal mill bearing seat to obtain the on-site bearing seat vibration spectrum diagram; the slipping frequency acquisition module is used to obtain the steel ball slipping frequency corresponding to the on-site coal mill lining plate based on the on-site bearing seat vibration spectrum diagram; the comparison and judgment module is used to compare the steel ball slipping frequency with the steel ball slipping characteristic frequencies and judge the wear degree of the on-site coal mill lining plate according to the comparison result.

[0054] The monitoring device for the wear degree of the coal mill liner based on the vibration spectrum may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The monitoring device for the wear degree of the coal mill liner based on the vibration spectrum may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above are examples of the monitoring device for the wear degree of the coal mill liner based on the vibration spectrum, and do not constitute a limitation on the monitoring device for the wear degree of the coal mill liner based on the vibration spectrum. It may include more components than the above, or combine some components, or different components. For example, the monitoring device for the wear degree of the coal mill liner based on the vibration spectrum may also include input and output devices, network access devices, a bus, etc.

[0055] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc. The processor is the control center of the monitoring of the wear degree of the coal mill liner based on the vibration spectrum, and connects all parts of the monitoring device for the wear degree of the coal mill liner based on the vibration spectrum through various interfaces and lines.

[0056] The memory can be used to store the computer programs and / or modules. The processor realizes various functions of the monitoring device for the wear degree of the coal mill liner based on the vibration spectrum by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory.

[0057] The memory may mainly include a program storage area and a data storage area. Among them, the program storage area may store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0058] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method for monitoring the wear degree of the coal mill liner based on the vibration spectrum are implemented.

[0059] If the modules / units integrated in the monitoring system for the wear degree of the coal mill liner based on the vibration spectrum are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0060] Based on such an understanding, to implement all or part of the processes in the above method for monitoring the wear degree of the coal mill liner based on the vibration spectrum, the present invention can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method for monitoring the wear degree of the coal mill liner based on the vibration spectrum can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or preset intermediate form, etc.

[0061] The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0062] It should be noted that the content included in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice within the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0063] The present invention will be further described below in conjunction with embodiments and the accompanying drawings:

[0064] Embodiment

[0065] To solve the problems mentioned in the background technology: Currently, only during major overhauls and disassembly, the wear degree of the liner can be measured through manual measurement and ultrasonic measurement. The measurement methods are greatly restricted by time and space, and the liner status cannot be detected in a timely manner, and the frequency of replacing the liner cannot be determined. To solve the above technical problems, this embodiment provides a method for monitoring the wear degree of the coal mill liner based on the vibration spectrum. The concept of this method stems from:

[0066] The falling steel balls will collide with the coal in the cylinder, other steel balls and the cylinder wall. Part of the kinetic energy of the steel balls is absorbed by the pulverized coal to realize the grinding process of the pulverized coal; the other kinetic energy is transmitted to the bearing through the roller, causing the bearing vibration. The reasons for the shaft vibration are very complex. Besides the impact of the steel balls, there are also various factors such as the vibration of the transmission system, the vibration caused by the rotor imbalance, and the vibration caused by the installation error. However, the vibrations caused by these factors have their specific characteristic frequencies, and their characteristic frequencies will not change with the change of the cylinder lining plate situation, but the vibration amplitude and severity caused by them will be affected by the change of the cylinder lining plate. Since the state of the lining plate will affect the movement of the falling steel balls, and thus affect the steel ball slipping frequency, there is a correlation between the steel ball slipping frequency of the coal mill and the wear state of the lining plate. By identifying the characteristic frequency related to the lining plate wear in the vibration spectrum, that is, the steel ball slipping characteristic frequency, the wear condition of the cylinder lining plate can be effectively measured.

[0067] That is to say, the factors related to the bearing housing vibration include the vibration brought by the transmission system, the vibration caused by the rotor imbalance, the vibration caused by the installation error, and the vibration caused by the steel ball slipping. The factors such as the vibration brought by the transmission system, the vibration caused by the rotor imbalance, and the vibration caused by the installation error have specific characteristic frequencies and are irrelevant to the change of the lining plate, so they cannot reflect the wear degree of the lining plate; but only the change of the steel ball slipping frequency is related to the change of the cylinder lining plate situation. Therefore, the wear degree of the lining plate is judged by monitoring the steel ball slipping frequency.

[0068] This embodiment provides a method for monitoring the wear degree of the coal mill lining plate based on the vibration spectrum, specifically as follows:

[0069] Step 1: Collect the ledger information of the steel ball coal mill: Obtain the coal mill status information such as the continuous rotation speed of n, the cylinder diameter of D, the steel ball diameter of D0, the steel ball density ρ, the steel ball filling rate and the initial steel ball loading M0.

[0070] Step 2: During the process of the coal mill lining plate being gradually worn over time, continuously monitor the change of the vibration frequency of the bearing housing through experiments to obtain the experimental bearing housing vibration spectrum diagram, and then obtain multiple sets of steel ball slipping characteristic frequencies f n (n = 1, 2, 3, 4,..., N) of the vibration spectrum of the coal mill lining plate at different wear degrees under this working condition; it should be noted here that there is a certain correlation between the continuous rotation speed n, the cylinder diameter D, the steel ball diameter D0, the steel ball density ρ, the steel ball filling rate and the initial steel ball loading M0 collected in Step 1 and the steel ball slipping characteristic frequency f n above, and the above parameters are the influencing parameters of the steel ball slipping characteristic frequency f n .

[0071] Among them, as the wear of the lining plate intensifies with the service time, the characteristic frequency f of the steel ball slipping in the vibration spectrum n gradually decreases (f1 > f2 > f3 >... > f N ).

[0072] For example:

[0073] When the lining plate wears by 25%, the frequency f appears in the vibration spectrum 钢球滑落-参考 = f1;

[0074] When the lining plate wears by 50%, the frequency f appears in the vibration spectrum 钢球滑落-参考 = f2;

[0075] When the lining plate wears by 70%, the frequency f appears in the vibration spectrum 钢球滑落-参考 = f3;

[0076] When the lining plate wears more severely with the service time, medium and low frequency vibrations (f1 > f2 > f3) will appear in the vibration spectrum.

[0077] Step 3: According to the state information of the coal mill, perform vibration detection on the bearing housing of the coal mill with the same on-site ledger status to obtain the bearing housing vibration spectrum diagram.

[0078] Select the characteristic frequency (steel ball slipping frequency) f' related to the wear of the lining plate 钢球滑落 . Compare f' 钢球滑落 with the characteristic frequency f of the steel ball slipping in the vibration spectrum of the lining plate with different wear degrees obtained in Step 2 n (n = 1, 2, 3, 4,..., N) to obtain the result of the wear degree of the on-site coal mill lining plate.

[0079] For example:

[0080] When the lining plate wears by 25%, the frequency f appears in the vibration spectrum 钢球滑落-参考 = f1;

[0081] When the lining plate wears by 50%, the frequency f appears in the vibration spectrum 钢球滑落-参考 = f2;

[0082] When the lining plate wears by 70%, the frequency f appears in the vibration spectrum 钢球滑落-参考 = f3;

[0083] Compare f' 钢球滑落 with f 钢球滑落-参考 :

[0084] If there is almost no characteristic frequency caused by the wear of the lining plate in the vibration spectrum, the lining plate has almost no wear;

[0085] If the frequency f' appears in the vibration spectrum 钢球滑落characteristic frequency, and f' 钢球滑落 > f 1， then the wear of the liner is less than 25%;

[0086] If the frequency f' appears in the vibration spectrum 钢球滑落 characteristic frequency, and f2 < f' 钢球滑落 < f 1， then the wear of the liner is between 25% and 50%, and it is necessary to pay attention to monitoring;

[0087] If the frequency f' appears in the vibration spectrum 钢球滑落 characteristic frequency, and f3 < f' 钢球滑落落 < f 2， then the wear of the liner is between 50% and 70%, and it is necessary to closely monitor;

[0088] If the frequency f' appears in the vibration spectrum 钢球滑落 characteristic frequency, and f' 钢球滑落 < f 3， then the wear of the liner exceeds 70%, and it is necessary to replace the liner in time.

[0089] In summary, the method for monitoring the wear degree of the coal mill liner based on the vibration spectrum provided in this embodiment can effectively measure the wear condition of the liner in the cylinder by identifying the characteristic frequency related to the liner wear, that is, the steel ball slipping characteristic frequency, from the vibration spectrum, and solves the problem that the existing monitoring measures cannot monitor the wear degree of the liner in real time and accurately; compared with the existing monitoring measures, it has the following advantages:

[0090] This method is based on the vibration spectrum, selects the characteristic spectrum related to the state of the coal mill liner in the vibration spectrum, that is, the steel ball slipping characteristic frequency, and effectively measures the wear condition of the liner in the cylinder by comparing the steel ball slipping frequency obtained from on-site monitoring with the steel ball slipping characteristic frequency; using this method, there is no need to disassemble the coal mill, and it is not restricted by time and space, and the wear degree of the liner in the cylinder can be monitored in time and accurately. At the same time, according to the wear condition of the liner, it is possible to evaluate the wear condition and replacement situation of the liner, effectively ensure the normal and efficient operation of the liner, reduce the operation cost of the coal mill, and improve the safe production operation level of the thermal power plant.

[0091] The above embodiments are only one of the implementation manners that can realize the technical solution of the present invention. The scope of protection required by the present invention is not only limited by this embodiment, but also includes any changes, substitutions and other implementation manners that are easily conceivable by those skilled in the art within the technical scope disclosed by the present invention.

Claims

1. A method for monitoring the wear degree of the mill liner based on the vibration spectrum, characterized in that, Comprising: Obtain a test bearing housing vibration frequency spectrum diagram based on the test vibration frequency data of the coal mill bearing housing; Obtain the steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill lining plate according to the test bearing housing vibration frequency spectrum diagram; Conduct vibration monitoring on the on-site coal mill bearing housing to obtain the on-site bearing housing vibration frequency spectrum diagram; Obtain the steel ball slipping frequency corresponding to the on-site coal mill lining plate according to the on-site bearing housing vibration frequency spectrum diagram; Compare the steel ball slipping frequency with the steel ball slipping characteristic frequencies, and judge the wear degree of the on-site coal mill lining plate according to the comparison result.

2. The method for monitoring the wear degree of the mill liner based on the vibration spectrum according to claim 1, wherein According to different monitoring states of the coal mill lining plate, obtain multiple steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill lining plate.

3. The method for monitoring the wear degree of the coal mill lining plate based on the vibration spectrum according to claim 2, wherein According to different monitoring states of the coal mill lining plate, obtain 3 steel ball slipping characteristic frequencies, including the steel ball slipping characteristic frequency f1 corresponding to a 25% wear ratio of the coal mill lining plate, the steel ball slipping characteristic frequency f2 corresponding to a 50% wear ratio, and the steel ball slipping characteristic frequency f3 corresponding to a 70% wear ratio.

4. A method for monitoring the wear degree of the mill liner based on the vibration spectrum according to claim 3, wherein, Wherein, The steel ball slipping frequency corresponding to the on-site coal mill lining plate is f; When f > f1, judge that the wear ratio of the on-site coal mill lining plate is less than 25%; When f2 < f < f1, judge that the wear ratio of the on-site coal mill lining plate is between 25% - 50%.

5. A method for monitoring the wear degree of the mill liner based on the vibration spectrum according to claim 4, characterized in that, When f3 < f < f2, judge that the wear ratio of the on-site coal mill lining plate is between 50% - 70%.

6. The monitoring method for the wear degree of the mill liner based on the vibration spectrum according to claim 5, wherein When f < f3, judge that the wear ratio of the on-site coal mill lining plate exceeds 70%.

7. A method for monitoring the wear degree of the mill liner based on the vibration spectrum according to claim 1, wherein, Also comprising: Before judging the wear degree of the on-site coal mill lining plate, compare the status information of the coal mill with the status information of the on-site coal mill according to the ledger information.

8. A monitoring system for the wear degree of the coal mill lining plate based on vibration spectrum, which is used to implement the steps of the monitoring method for the wear degree of the coal mill lining plate based on vibration spectrum according to any one of claims 1-7, characterized in that, Comprising: A vibration frequency spectrum acquisition module, configured to obtain a test bearing housing vibration frequency spectrum diagram based on the test vibration frequency data of the coal mill bearing housing; A characteristic frequency acquisition module, configured to obtain the steel ball slipping characteristic frequencies corresponding to different wear degrees of the coal mill lining plate according to the test bearing housing vibration frequency spectrum diagram; A monitoring module, configured to conduct vibration monitoring on the on-site coal mill bearing housing to obtain the on-site bearing housing vibration frequency spectrum diagram; A slipping frequency acquisition module, configured to obtain the steel ball slipping frequency corresponding to the on-site coal mill lining plate according to the on-site bearing housing vibration frequency spectrum diagram; A comparison and judgment module, configured to compare the steel ball slipping frequency with the steel ball slipping characteristic frequencies, and judge the wear degree of the on-site coal mill lining plate according to the comparison result.

9. A monitoring device for the wear degree of a coal mill lining plate, characterized in that, Comprising: A memory, configured to store a computer program; A processor, configured to implement the steps of the method for monitoring the wear degree of the coal mill lining plate based on the vibration frequency spectrum according to any one of claims 1 - 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that, The computer program, when executed by the processor, is used to implement the steps of the method for monitoring the wear degree of the coal mill lining plate based on the vibration frequency spectrum according to any one of claims 1 - 7.

Images