Boiler pipeline offset deformation monitoring method, system, equipment and medium
By pre-processing and dimensionality reduction of the strain data and temperature data of boiler pipelines, and using principal component analysis method to extract important features, the problem of low accuracy in boiler pipeline deviation and deformation monitoring in the existing technology is solved, and a higher level of monitoring accuracy and automatic repair function.
Patent Information
- Application Number
- CN202411511613.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-28
- Publication Date
- 2025-02-07
AI Technical Summary
In the prior art, simple thresholds are used to make judgments, and the lack of redundant information processing of data is caused by low accuracy in boiler pipeline deviation and deformation monitoring.
By obtaining the strain data and temperature data of the boiler pipeline, pre-processing and dimensionality reduction processing, using principal component analysis method to extract important features, remove redundant information, and compare the dimensionality reduction data with the preset warning threshold, obtain Boiler pipeline offset deformation monitoring results.
The accuracy of boiler pipeline offset deformation monitoring is improved, and the problem of low accuracy in the prior art is effectively solved. It can automatically repair tiny offset deformation and display and notify the monitoring results.
Smart Images
Figure CN119394206A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of boiler pipeline monitoring, and in particular relates to a method, system, equipment and medium for monitoring the deviation and deformation of a boiler pipeline. Background Art
[0002] Boiler pipes are indispensable and important equipment in industrial production systems. The stable and safe operation of boiler pipes will directly affect the continuity and production efficiency of the entire production process. However, when affected by various external factors (such as temperature changes, pressure fluctuations, and mechanical vibrations, etc.), if these external factors are not properly handled, the boiler pipes may be offset and deformed. The offset and deformation of the boiler pipes will not only affect the normal operation of the boiler pipes, but also cause serious safety accidents when the boiler pipes are seriously offset and deformed, which will threaten personal safety. Therefore, it is very important to monitor the offset and deformation of the boiler pipes in real time, and it is also an important means to prevent safety accidents.
[0003] The existing boiler pipe offset deformation monitoring methods usually use simple thresholds for judgment, and lack the processing of redundant information in the early stage, resulting in low accuracy of boiler pipe offset deformation monitoring. Summary of the invention
[0004] The purpose of the present invention is to provide a method, system, device and medium for monitoring the deviation and deformation of a boiler pipeline, so as to solve the problem that the accuracy of monitoring the deviation and deformation of a boiler pipeline is low due to the use of a simple threshold for judgment in the prior art and the lack of redundant information processing of the data in the early stage.
[0005] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for monitoring the deviation and deformation of a boiler pipeline, comprising the following steps: Acquire strain data and temperature data of the boiler pipe, and pre-process the obtained strain data and temperature data of the boiler pipe; Performing dimension reduction processing on the strain data and temperature data of the boiler pipe after preprocessing to obtain the strain data and temperature data of the boiler pipe after dimension reduction processing; The strain data and temperature data of the boiler pipe after dimensionality reduction are compared with the preset warning threshold to obtain the monitoring results of boiler pipe deviation deformation.
[0006] A further improvement of the present invention is that a fiber grating sensor is used to detect the wavelength change of the optical signal to obtain the strain data of the boiler pipe.
[0007] A further improvement of the present invention is that the preprocessing refers to filtering, denoising and deviation calibration of the obtained strain data and temperature data of the boiler pipe, and there is no order of operation for filtering, denoising and deviation calibration.
[0008] A further improvement of the present invention is that a principal component analysis method is used to perform dimension reduction processing on the strain data and temperature data of the pre-processed boiler pipe.
[0009] A further improvement of the present invention is that the strain data and temperature data of the boiler pipeline after dimensionality reduction processing are compared with a preset warning threshold. When the strain data and temperature data of the boiler pipeline after dimensionality reduction processing are greater than the preset warning threshold, it indicates that the boiler pipeline is offset and deformed; when the strain data and temperature data of the boiler pipeline after dimensionality reduction processing are less than the preset warning threshold, it indicates that the boiler pipeline is not offset and deformed.
[0010] A further improvement of the present invention is that when the boiler pipe is offset and deformed, and the degree of deformation of the boiler pipe is slight, the boiler pipe can be automatically repaired, wherein the slight degree of deformation of the boiler pipe means that the deformation of the boiler pipe is very slight.
[0011] A further improvement of the present invention is that after obtaining the monitoring result of boiler deviation deformation, the monitoring result of boiler pipeline deviation deformation can also be displayed and notified.
[0012] In a second aspect, the present invention provides a boiler pipeline offset deformation monitoring system, including a data acquisition module, a data preprocessing module, a data dimension reduction processing module and a boiler pipeline offset deformation monitoring module; The data acquisition module is used to acquire strain data and temperature data of the boiler pipe; The data preprocessing module is used to preprocess the obtained strain data and temperature data of the boiler pipe; The data dimension reduction processing module is used to perform dimension reduction processing on the strain data and temperature data of the boiler pipeline after preprocessing, so as to obtain the strain data and temperature data of the boiler pipeline after dimension reduction processing; The boiler pipeline offset deformation monitoring module is used to compare the strain data and temperature data of the boiler pipeline after dimensionality reduction processing with a preset early warning threshold to obtain the boiler pipeline offset deformation monitoring result.
[0013] In a third aspect, the present invention provides an electronic device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the boiler pipe offset deformation monitoring method introduced above when executing the computer program.
[0014] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the boiler pipe offset deformation monitoring method introduced above.
[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention belongs to an improved invention. Compared with the existing boiler pipeline offset deformation monitoring method, the boiler pipeline offset deformation monitoring method proposed in the present invention performs dimensionality reduction processing on the strain data and temperature data of the pre-processed boiler pipeline to obtain the strain data and temperature data of the boiler pipeline after dimensionality reduction processing. The strain data and temperature data of the boiler pipeline after dimensionality reduction processing are compared with the preset early warning threshold to obtain the boiler pipeline offset deformation monitoring result. It can be seen that the boiler pipeline offset deformation monitoring method proposed in the present invention first performs dimensionality reduction processing on the strain data and temperature data of the pre-processed boiler pipeline. The dimensionality reduction technology can extract important features from multidimensional data, remove redundant information, and improve the accuracy of boiler pipeline offset deformation monitoring in the later stage, thereby effectively solving the problem that the simple threshold is used for judgment in the prior art, and the lack of redundant information processing of the data in the early stage leads to low accuracy of boiler pipeline offset deformation monitoring. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 A flow chart of a method for monitoring the displacement and deformation of a boiler pipeline according to the present invention; Figure 2 A schematic diagram of a boiler pipeline deviation deformation monitoring system according to the present invention; Figure 3 It is a schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION
[0016] In order to further understand the content of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and are not intended to limit it.
[0017] The boiler pipeline offset deformation monitoring method proposed in the present invention first obtains the strain data and temperature data of the boiler pipeline, pre-processes the obtained strain data and temperature data of the boiler pipeline, and then performs dimensionality reduction processing on the strain data and temperature data of the pre-processed boiler pipeline to obtain the strain data and temperature data of the boiler pipeline after dimensionality reduction processing. Finally, the strain data and temperature data of the boiler pipeline after dimensionality reduction processing are compared with the preset early warning threshold to obtain the monitoring result of the offset deformation of the boiler pipeline. Compared with the prior art, the present invention effectively solves the problem that the accuracy of the monitoring of the offset deformation of the boiler pipeline is not high due to the use of simple thresholds for judgment in the prior art and the lack of redundant information processing of the data in the early stage.
[0018] Embodiment 1: The flow chart of the boiler pipeline deviation deformation monitoring method of the present invention is as follows Figure 1 As shown, the boiler pipeline deviation deformation monitoring method of the present invention comprises the following steps: S1. Obtain strain data and temperature data of the boiler pipe, and pre-process the obtained strain data and temperature data of the boiler pipe.
[0019] S2. Perform dimensionality reduction processing on the strain data and temperature data of the boiler pipe after preprocessing to obtain the strain data and temperature data of the boiler pipe after dimensionality reduction processing.
[0020] S3. Compare the strain data and temperature data of the boiler pipeline after dimensionality reduction processing with the preset warning threshold to obtain the boiler pipeline offset deformation monitoring result.
[0021] Embodiment 2: The schematic diagram of the boiler pipeline deviation deformation monitoring system of the present invention is as follows Figure 2 As shown, the boiler pipeline deviation deformation monitoring system of the present invention includes a data acquisition module, a data preprocessing module, a data dimension reduction processing module and a boiler pipeline deviation deformation monitoring module.
[0022] The data acquisition module is used to obtain the strain data and temperature data of the boiler pipe.
[0023] The data preprocessing module is used to preprocess the obtained strain data and temperature data of the boiler pipe; The data dimension reduction processing module is used to perform dimension reduction processing on the strain data and temperature data of the boiler pipe after preprocessing, so as to obtain the strain data and temperature data of the boiler pipe after dimension reduction processing; The boiler pipeline offset deformation monitoring module is used to compare the strain data and temperature data of the boiler pipeline after dimensionality reduction processing with the preset early warning threshold to obtain the boiler pipeline offset deformation monitoring results.
[0024] Embodiment 3: S1. Obtain strain data and temperature data of the boiler pipe, and pre-process the obtained strain data and temperature data of the boiler pipe.
[0025] Firstly, a fiber grating sensor is used to detect the wavelength change of the optical signal to obtain the strain data of the boiler pipe, and a temperature sensor is used to obtain the temperature data of the boiler pipe.
[0026] This step uses a fiber grating sensor to detect the wavelength change of the optical signal to obtain the strain data of the boiler pipe, which can ensure the high accuracy and real-time performance of data acquisition.
[0027] Then, the obtained strain data and temperature data of the boiler pipe are preprocessed. The preprocessing refers to filtering (for example, filtering by using a fast Fourier transform algorithm), denoising (for example, denoising by using a digital filtering algorithm), and deviation calibration (specifically, sensor deviation calibration by using an adaptive calibration algorithm), and there is no order of precedence for filtering, denoising, and deviation calibration.
[0028] S2. Perform dimensionality reduction processing on the strain data and temperature data of the boiler pipe after preprocessing to obtain the strain data and temperature data of the boiler pipe after dimensionality reduction processing.
[0029] The principal component analysis method is used to perform dimension reduction processing on the strain data and temperature data of the boiler pipe after preprocessing, so as to obtain the strain data and temperature data of the boiler pipe after dimension reduction processing.
[0030] The specific process of using principal component analysis to reduce the dimension of the pre-processed strain data and temperature data of the boiler pipe in this step is as follows: A. Data standardization Scale each feature in the original data set (i.e., the reading of each sensor) to a state with zero mean and unit variance. Data normalization can eliminate the impact of different dimensions and numerical sizes on subsequent calculation results.
[0031] B. Calculate the covariance matrix The covariance matrix is calculated by the standardized data, which can reflect the correlation between different features.
[0032] C. Calculate the eigenvalues and eigenvectors of the covariance matrix Perform eigendecomposition on the covariance matrix to obtain a set of eigenvalues and corresponding eigenvectors.
[0033] D. Select the principal component According to the size of the eigenvalues, the most important eigenvectors are selected as principal components. These principal components can explain most of the variance in the data.
[0034] E. Constructing principal component scores Using the selected principal component eigenvectors, the original data is projected onto these principal components to obtain the principal component scores for each data point.
[0035] The calculation formula of the above covariance matrix is:
[0036] in, is the covariance matrix, is the number of data points, After standardization The mean of the column features, Standardized data No. i Line j Column elements, After standardization The mean of the column features, Standardized data No. i Line k Column elements.
[0037] Standardized data No. i Line j Column Elements The calculation formula is:
[0038] in, Standardized data No. i Line j Column elements, is the original data matrix, is the mean value of each feature, is the standard deviation of each feature.
[0039] S3. Compare the strain data and temperature data of the boiler pipeline after dimensionality reduction processing with the preset warning threshold to obtain the boiler pipeline offset deformation monitoring result.
[0040] The strain data and temperature data of the boiler pipe after dimensionality reduction are compared with the preset warning threshold to obtain the monitoring results of boiler pipe deviation deformation.
[0041] Specifically, in this step, the strain data and temperature data of the boiler pipeline after the dimensionality reduction processing are compared with the preset warning threshold. When the strain data and temperature data of the boiler pipeline after the dimensionality reduction processing are greater than the preset warning threshold, it indicates that the boiler pipeline is offset and deformed. When the strain data and temperature data of the boiler pipeline after the dimensionality reduction processing are less than the preset warning threshold, it indicates that the boiler pipeline is not offset and deformed. The preset warning threshold in this embodiment can be set according to actual needs.
[0042] When the boiler pipeline is deflected and deformed, and the deformation of the boiler pipeline is slight, the boiler pipeline deflection deformation monitoring method proposed by the present invention can also automatically repair the boiler pipeline. The slight deformation of the boiler pipeline means that the deformation of the boiler pipeline is very slight.
[0043] After obtaining the monitoring result of boiler pipe offset deformation, the boiler pipe offset deformation monitoring method proposed in the present invention can also display and notify the monitoring result of boiler pipe offset deformation. In this embodiment, the monitoring result of boiler pipe offset deformation is displayed on a display screen or a graphic display interface. In this embodiment, the monitoring result of boiler pipe offset deformation is notified to maintenance personnel in a variety of ways (such as text messages, telephone calls or emails), and the maintenance personnel can take corresponding maintenance measures according to the received monitoring result of boiler pipe offset deformation.
[0044] Embodiment 4: See also Figure 3 As shown, the present invention also provides an electronic device 100 for a boiler pipe displacement deformation monitoring method; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.
[0045] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the boiler pipe displacement deformation monitoring method described in Example 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 can mainly include a program storage area and a data storage area, wherein the program storage area can 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 can store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 can include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.
[0046] The at least one processor 102 may be a central processing unit (CPU), or 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. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and uses various interfaces and lines to connect various parts of the entire electronic device 100.
[0047] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for monitoring the displacement and deformation of a boiler pipe. The processor 102 can execute the plurality of instructions to implement: Acquire strain data and temperature data of the boiler pipe, and pre-process the obtained strain data and temperature data of the boiler pipe; Performing dimension reduction processing on the strain data and temperature data of the boiler pipe after preprocessing to obtain the strain data and temperature data of the boiler pipe after dimension reduction processing; The strain data and temperature data of the boiler pipe after dimensionality reduction are compared with the preset warning threshold to obtain the monitoring results of boiler pipe deviation deformation.
[0048] Embodiment 5: If the module / unit integrated in the electronic device 100 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. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. 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 some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).
[0049] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0050] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0051] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0052] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0053] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A method for monitoring the displacement and deformation of a boiler pipeline, characterized in that: The following steps are involved: Acquire strain data and temperature data of the boiler pipe, and pre-process the obtained strain data and temperature data of the boiler pipe; Performing dimension reduction processing on the strain data and temperature data of the boiler pipe after preprocessing to obtain the strain data and temperature data of the boiler pipe after dimension reduction processing; The strain data and temperature data of the boiler pipe after dimensionality reduction are compared with the preset warning threshold to obtain the monitoring results of boiler pipe deviation deformation.
2. The boiler pipeline deviation deformation monitoring method according to claim 1 is characterized in that: Fiber Bragg grating sensors are used to detect the wavelength changes of optical signals to obtain the strain data of boiler pipes.
3. The boiler pipeline deviation deformation monitoring method according to claim 1 is characterized in that: The preprocessing refers to filtering, denoising and deviation calibration of the obtained strain data and temperature data of the boiler pipe. There is no order of precedence for filtering, denoising and deviation calibration.
4. The boiler pipeline deviation deformation monitoring method according to claim 1 is characterized in that: The principal component analysis method is used to reduce the dimension of the pre-processed strain data and temperature data of the boiler pipe.
5. The boiler pipeline deviation deformation monitoring method according to claim 1 is characterized in that: The strain data and temperature data of the boiler pipeline after the dimensionality reduction processing are compared with the preset warning threshold. When the strain data and temperature data of the boiler pipeline after the dimensionality reduction processing are greater than the preset warning threshold, it indicates that the boiler pipeline has offset deformation; When the strain data and temperature data of the boiler pipe after dimensionality reduction processing are less than the preset warning threshold, it means that there is no offset deformation of the boiler pipe.
6. The boiler pipeline deviation deformation monitoring method according to claim 1 is characterized in that: When the boiler pipe is offset and deformed, and the degree of deformation of the boiler pipe is slight, the boiler pipe can be automatically repaired. The slight degree of deformation of the boiler pipe means that the deformation of the boiler pipe is very slight.
7. The boiler pipeline deviation deformation monitoring method according to claim 1 is characterized in that: After obtaining the boiler offset deformation monitoring result, the boiler pipeline offset deformation monitoring result can also be displayed and notified.
8. A boiler pipe deviation deformation monitoring system, characterized in that: It includes data acquisition module, data preprocessing module, data dimension reduction processing module and boiler pipe deviation deformation monitoring module; The data acquisition module is used to acquire strain data and temperature data of the boiler pipe; The data preprocessing module is used to preprocess the obtained strain data and temperature data of the boiler pipe; The data dimension reduction processing module is used to perform dimension reduction processing on the strain data and temperature data of the boiler pipeline after preprocessing, so as to obtain the strain data and temperature data of the boiler pipeline after dimension reduction processing; The boiler pipeline offset deformation monitoring module is used to compare the strain data and temperature data of the boiler pipeline after dimensionality reduction processing with a preset early warning threshold to obtain the boiler pipeline offset deformation monitoring result.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the boiler pipe deviation deformation monitoring method according to any one of claims 1 to 7 are implemented.
10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the boiler pipe deviation deformation monitoring method according to any one of claims 1 to 7 are implemented.