Method, system and equipment for monitoring state of grinding roller of medium-speed coal mill and medium

Abstract

The invention provides a medium-speed coal mill grinding roller state monitoring method, system and equipment and a medium. The medium-speed coal mill grinding roller state monitoring method comprises the following steps that 1, real-time operation parameters of a coal mill, the real-time displacement load of each grinding roller and the grinding roller temperature are obtained; 2, the obtained real-time operation parameters are input into a preset coal mill pulverizing output and grinding roller abrasion algorithm model, and the abrasion loss of a grinding roller is obtained; 3, the state of the grinding roller of the coal mill is monitored through the abrasion loss of the grinding roller, the real-time displacement load of the grinding roller and the temperature of the grinding roller; the method can effectively monitor the running dynamic state of the medium-speed coal mill, provides a maintenance strategy basis for ensuring the optimal output, and improves the reliability, stability and economical efficiency of a coal pulverizing system.

Description

Technical Field

[0001] The invention belongs to the field of thermal power generation, and in particular relates to a method, system, equipment and medium for monitoring the state of a roller of a medium-speed coal mill. Background Art

[0002] With the large-scale access to new energy, the peak-to-valley difference of the power system will gradually increase. As the main peak-shaving equipment, thermal power units are facing increasing pressure, especially after the normalization of deep peak-shaving. A large number of equipment are operating under abnormal conditions, and the impact on the safety, environmental protection and economy of the units cannot be ignored. An important prerequisite for improving the deep peak-shaving capability of coal-fired power units is that the combustion side of the boiler can maintain safe and stable operation under low-load conditions. The safe and stable operation of the boiler at low load is largely guaranteed by the pulverizing system. The coal mill is an important equipment in the pulverizing system. Whether it operates safely, reliably and efficiently is an important link during the deep peak-shaving period of the boiler. For the direct-blowing pulverizing system, it is particularly important to ensure the operating performance of the medium-speed coal mill.

[0003] At present, the use of wear parts such as rollers and liners of medium-speed coal mills in thermal power plants is checked periodically and measured manually, and replacement is arranged according to the amount of wear; this leads to frequent inspections, a large workload for replacing equipment parts, poor planning and suitability, and a lack of precise quantification and scientificity in replacement work. When a roller fails, it will not rotate. Because the roller is inside the coal mill cylinder, it cannot be discovered in time, causing the coal mill to operate under abnormal conditions, which has a significant impact on the safe operation of the equipment system. Summary of the invention

[0004] The purpose of the present invention is to provide a method, system, equipment and medium for monitoring the roller state of a medium-speed coal mill, which solves the defects of the existing medium-speed coal mill roller state monitoring, such as long cycle and low accuracy.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: The present invention provides a method for monitoring the state of a medium-speed coal mill roller, comprising the following steps: Step 1, obtaining the real-time operating parameters of the coal mill, the real-time displacement load of each grinding roller and the grinding roller temperature; Step 2, inputting the acquired real-time operating parameters into a preset coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; Step 3, monitoring the state of the coal mill roller using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0006] Preferably, the preset coal mill pulverizing output and roller wear algorithm model is constructed by: Construct the wear relationship between different coal types and the rollers in the coal mill; Build a big data group containing coal mill operating parameters; By using the wear relationship between different types of coal and the grinding roller in the coal mill and the big data group, an algorithm model for the coal mill pulverizing output and grinding roller wear is established.

[0007] Preferably, the wear relationship between different types of coal and the grinding roller in the coal mill is established, and the specific method is: Obtain information on the types of coal used in thermal power plants; Use all the coal type information to conduct performance tests on the performance conditions of the pulverizing system; obtain the impact of different coal types on the performance of the pulverizing system under different operating conditions; The relationship between different types of coal and the roller wear of the coal mill in the pulverizing system is obtained by utilizing the influence of different types of coal on the performance of the pulverizing system under different operating conditions.

[0008] Preferably, the wear amount of the grinding roller, the real-time displacement load of the grinding roller and the grinding roller temperature are used to monitor the state of the grinding roller of the coal mill. The specific method is: Calculate the real-time displacement load of the grinding roller and the dynamic deviation value of the grinding roller temperature respectively; The state of the coal mill roller is monitored by using the wear amount of the roller, the real-time displacement load of the roller and the dynamic deviation value of the roller temperature.

[0009] Preferably, the temperature of the grinding roller is collected by a temperature sensor installed at each grinding roller bearing or oil pool; The real-time displacement load of the coal mill roller is collected by using a displacement sensor installed at the position of the hydraulic cylinder or spring loading device corresponding to each roller.

[0010] A system for monitoring the state of a medium-speed coal mill roller, comprising: A data acquisition unit, used to acquire the real-time operating parameters of the coal mill, the real-time displacement load of each grinding roller and the grinding roller temperature; The wear amount acquisition unit is used to input the acquired real-time operating parameters into the preset coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; The condition monitoring unit is used to monitor the condition of the coal mill roller by using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0011] Preferably, the data acquisition unit comprises a displacement sensor installed at a position of a hydraulic cylinder or a spring loading device corresponding to each grinding roller, and a temperature sensor installed at a position of a bearing or an oil pool corresponding to each grinding roller.

[0012] A computer device comprising: a processor suitable for executing a computer program; A computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method described is performed.

[0013] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0014] A computer program product, the computer program product comprising a computer program, the computer program implementing the method when executed by a processor Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a method for monitoring the state of a grinding roller of a medium-speed coal mill. According to the relationship between different types of coal and the grinding roller wear of the coal mill in the pulverizing system and a big data group, an algorithm model of the coal mill pulverizing output and grinding roller wear is established, and the wear amount of the grinding roller is calculated by using the algorithm model of the coal mill pulverizing output and grinding roller wear; the state of the grinding roller of the coal mill is monitored in combination with the real-time displacement load and the grinding roller temperature of each grinding roller. The present invention establishes a multi-dimensional and multi-parameter medium-speed coal mill operation monitoring system, which can realize safe operation monitoring and data analysis and early warning. At the same time, it can effectively monitor the operation dynamics of the medium-speed coal mill, provide a maintenance strategy basis for ensuring optimal output, and improve the reliability, stability and economy of the pulverizing system. DETAILED DESCRIPTION

[0015] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0016] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0017] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0018] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0019] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0020] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0021] Example 1 The present embodiment provides a method for monitoring the state of a medium-speed coal mill roller, comprising the following steps: Step 1, obtaining coal type information applied to thermal power units; Use all the coal type information to conduct performance tests on the performance conditions of the pulverizing system; obtain the impact of different coal types on the performance of the pulverizing system under different operating conditions; The relationship between different types of coal and the roller wear of the coal mill in the pulverizing system is obtained by using the influence of different types of coal on the performance of the pulverizing system under different operating conditions. This step verifies the adaptability and safety of all coal types in the pulverizing system through performance tests, thus providing a basis for the selection and optimization of coal types.

[0022] Step 2, comparing the historical operating parameters of the coal mill obtained in multiple forms and multiple working conditions to establish a big data group; The historical operating parameters include coal feed rate, current, pressure difference, cold and hot air volume, cold and hot air temperature, coal powder fineness and coal type characteristics.

[0023] The coal characteristics include grindability coefficient and moisture content.

[0024] It is used to reveal the correlation and influencing factors between different parameters, so as to optimize the operating conditions of the coal mill and improve the overall performance of the pulverizing system.

[0025] Step 3, using the relationship between different types of coal and roller wear of the coal mill in the pulverizing system and the big data group, an algorithm model for obtaining the coal mill pulverizing output and roller wear is established; Step 4, inputting the obtained real-time operating parameters of the coal mill into the coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; Step 5, collecting the real-time displacement load and temperature of the coal mill roller in real time; Step 6, monitoring the state of the coal mill roller using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0026] Example 2 Based on Example 1, this example provides a method for monitoring the status of a medium-speed coal mill roller, which uses displacement sensors installed at the positions of three hydraulic cylinders or spring loading devices of the coal mill roller to collect the real-time displacement load of the coal mill roller.

[0027] Example 3 On the basis of Example 1, this example provides a method for monitoring the status of a roller of a medium-speed coal mill, which uses a temperature sensor installed at the roller bearing or oil pool of the coal mill to collect the roller temperature.

[0028] Example 4 Based on Example 1, this example provides a method for monitoring the state of a medium-speed coal mill roller. In step 6, the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller are used to monitor the state of the coal mill roller. The specific method is: Calculate the real-time displacement load of the grinding roller and the dynamic deviation value of the grinding roller temperature respectively; The state of the coal mill roller is monitored by using the wear amount of the roller, the real-time displacement load of the roller and the dynamic deviation value of the roller temperature.

[0029] Example 5 This embodiment provides a system for monitoring the state of a medium-speed coal mill roller, including: A data acquisition unit, used to acquire the real-time operating parameters of the coal mill, the real-time displacement load of each grinding roller and the grinding roller temperature; The wear amount acquisition unit is used to input the acquired real-time operating parameters into the preset coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; The condition monitoring unit is used to monitor the condition of the coal mill roller by using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0030] Example 6 This embodiment 6 provides a computer device, including: a memory for storing a computer program; and a processor for implementing the steps of a computer method when executing the computer program.

[0031] When the processor executes the computer program, the steps of the above computer method are implemented.

[0032] For example: Step 1, obtain the coal type information applied to the thermal power unit; Use all the coal type information to conduct performance tests on the performance conditions of the pulverizing system; obtain the impact of different coal types on the performance of the pulverizing system under different operating conditions; The relationship between different types of coal and the roller wear of the coal mill in the pulverizing system is obtained by using the influence of different types of coal on the performance of the pulverizing system under different operating conditions. This step verifies the adaptability and safety of all coal types in the pulverizing system through performance tests, thus providing a basis for the selection and optimization of coal types.

[0033] Step 2, comparing the historical operating parameters of the coal mill obtained in multiple forms and multiple working conditions to establish a big data group; The historical operating parameters include coal feed rate, current, pressure difference, cold and hot air volume, cold and hot air temperature, coal powder fineness and coal type characteristics.

[0034] The coal characteristics include grindability coefficient and moisture content.

[0035] It is used to reveal the correlation and influencing factors between different parameters, so as to optimize the operating conditions of the coal mill and improve the overall performance of the pulverizing system.

[0036] Step 3, using the relationship between different types of coal and roller wear of the coal mill in the pulverizing system and the big data group, an algorithm model for obtaining the coal mill pulverizing output and roller wear is established; Step 4, inputting the obtained real-time operating parameters of the coal mill into the coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; Step 5, collecting the real-time displacement load and temperature of the coal mill roller in real time; Step 6, monitoring the state of the coal mill roller using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0037] Alternatively, when the processor executes the computer program, the functions of each module in the above system are realized, such as: A data acquisition unit, used to acquire the real-time operating parameters of the coal mill, the real-time displacement load of each grinding roller and the grinding roller temperature; The wear amount acquisition unit is used to input the acquired real-time operating parameters into the preset coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; The condition monitoring unit is used to monitor the condition of the coal mill roller by using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0038] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The computer device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above are examples of computer devices and do not constitute a limitation on computer devices. The computer device may include more components than the above, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0039] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the computer device, and uses various interfaces and lines to connect various parts of the entire computer device.

[0040] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0041] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), 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.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0042] Example 7 This embodiment 7 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 described are implemented.

[0043] For example: Step 1, obtain the coal type information applied to the thermal power unit; Use all the coal type information to conduct performance tests on the performance conditions of the pulverizing system; obtain the impact of different coal types on the performance of the pulverizing system under different operating conditions; The relationship between different types of coal and the roller wear of the coal mill in the pulverizing system is obtained by using the influence of different types of coal on the performance of the pulverizing system under different operating conditions. This step verifies the adaptability and safety of all coal types in the pulverizing system through performance tests, thus providing a basis for the selection and optimization of coal types.

[0044] Step 2, comparing the historical operating parameters of the coal mill obtained in multiple forms and multiple working conditions to establish a big data group; The historical operating parameters include coal feed rate, current, pressure difference, cold and hot air volume, cold and hot air temperature, coal powder fineness and coal type characteristics.

[0045] The coal characteristics include grindability coefficient and moisture content.

[0046] It is used to reveal the correlation and influencing factors between different parameters, so as to optimize the operating conditions of the coal mill and improve the overall performance of the pulverizing system.

[0047] Step 3, using the relationship between different types of coal and roller wear of the coal mill in the pulverizing system and the big data group, an algorithm model for obtaining the coal mill pulverizing output and roller wear is established; Step 4, inputting the obtained real-time operating parameters of the coal mill into the coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; Step 5, collecting the real-time displacement load and temperature of the coal mill roller in real time; Step 6, monitoring the state of the coal mill roller using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0048] If the module / unit integrated in the computer system is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0049] Based on such understanding, the present invention implements all or part of the processes in the above method, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above computer method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or preset intermediate form, etc.

[0050] 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 disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0051] It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electrical carrier signals and telecommunication signals.

[0052] Example 8 This embodiment 8 provides a computer product, the computer program product includes a computer program, the computer program is stored in a computer-readable storage medium; a processor of a computer device reads the computer program from the computer-readable storage medium, and the processor executes the computer program, so that the computer device can perform the method in embodiment 1, specifically: Step 1, obtaining coal type information applied to thermal power units; Use all the coal type information to conduct performance tests on the performance conditions of the pulverizing system; obtain the impact of different coal types on the performance of the pulverizing system under different operating conditions; The relationship between different types of coal and the roller wear of the coal mill in the pulverizing system is obtained by using the influence of different types of coal on the performance of the pulverizing system under different operating conditions. This step verifies the adaptability and safety of all coal types in the pulverizing system through performance tests, thus providing a basis for the selection and optimization of coal types.

[0053] Step 2, comparing the historical operating parameters of the coal mill obtained in multiple forms and multiple working conditions to establish a big data group; The historical operating parameters include coal feed rate, current, pressure difference, cold and hot air volume, cold and hot air temperature, coal powder fineness and coal type characteristics.

[0054] The coal characteristics include grindability coefficient and moisture content.

[0055] It is used to reveal the correlation and influencing factors between different parameters, so as to optimize the operating conditions of the coal mill and improve the overall performance of the pulverizing system.

[0056] Step 3, using the relationship between different types of coal and roller wear of the coal mill in the pulverizing system and the big data group, an algorithm model for obtaining the coal mill pulverizing output and roller wear is established; Step 4, inputting the obtained real-time operating parameters of the coal mill into the coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; Step 5, collecting the real-time displacement load and temperature of the coal mill roller in real time; Step 6, monitoring the state of the coal mill roller using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

[0057] It should be noted that a person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods.

[0058] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for monitoring the roller state of a medium-speed coal mill, characterized in that: The following steps are involved: Step 1, obtaining the real-time operating parameters of the coal mill, the real-time displacement load of each grinding roller and the grinding roller temperature; Step 2, inputting the acquired real-time operating parameters into a preset coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; Step 3, monitoring the state of the coal mill roller using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

2. The method for monitoring the roller state of a medium-speed coal mill according to claim 1, characterized in that: The preset coal mill pulverizing output and roller wear algorithm model is constructed by: Construct the wear relationship between different coal types and the rollers in the coal mill; Build a big data group containing coal mill operating parameters; By using the wear relationship between different types of coal and the grinding roller in the coal mill and the big data group, an algorithm model for the coal mill pulverizing output and grinding roller wear is established.

3. The method for monitoring the roller state of a medium-speed coal mill according to claim 2, characterized in that: The wear relationship between different types of coal and the grinding roller in the coal mill is established. The specific method is: Obtain information on the types of coal used in thermal power plants; Use all the coal type information to conduct performance tests on the performance conditions of the pulverizing system; obtain the impact of different coal types on the performance of the pulverizing system under different operating conditions; The relationship between different types of coal and the roller wear of the coal mill in the pulverizing system is obtained by utilizing the influence of different types of coal on the performance of the pulverizing system under different operating conditions.

4. The method for monitoring the roller state of a medium-speed coal mill according to claim 1, characterized in that: The wear amount of the grinding roller, the real-time displacement load of the grinding roller and the grinding roller temperature are used to monitor the state of the coal mill grinding roller. The specific method is: Calculate the real-time displacement load of the grinding roller and the dynamic deviation value of the grinding roller temperature respectively; The state of the coal mill roller is monitored by using the wear amount of the roller, the real-time displacement load of the roller and the dynamic deviation value of the roller temperature.

5. The method for monitoring the roller state of a medium-speed coal mill according to claim 1, characterized in that: The temperature of the grinding roller is collected by using a temperature sensor installed at each grinding roller bearing or oil pool; The real-time displacement load of the coal mill roller is collected by using a displacement sensor installed at the position of the hydraulic cylinder or spring loading device corresponding to each roller.

6. A system for monitoring the roller status of a medium-speed coal mill, characterized in that: include: A data acquisition unit, used to acquire the real-time operating parameters of the coal mill, the real-time displacement load of each grinding roller and the grinding roller temperature; The wear amount acquisition unit is used to input the acquired real-time operating parameters into the preset coal mill pulverizing output and roller wear algorithm model to obtain the roller wear amount; The condition monitoring unit is used to monitor the condition of the coal mill roller by using the wear amount of the roller, the real-time displacement load of the roller and the temperature of the roller.

7. A system for monitoring the roller status of a medium-speed coal mill according to claim 6, characterized in that: The data acquisition unit comprises a displacement sensor installed at the position of the hydraulic cylinder or spring loading device corresponding to each grinding roller, and a temperature sensor installed at the position of the bearing or oil pool corresponding to each grinding roller.

8. A computer device, characterized in that: include: a processor suitable for executing a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the method according to any one of claims 1 to 5 is performed.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.