Deformation monitoring method and system for centrifugal fan blade welding

Abstract

The present invention relates to the field of force or stress measurement technology, and specifically to a deformation monitoring method and system for centrifugal fan blade welding, the method comprising: obtaining deformation monitoring data of the fan blade during the welding process; determining the temperature data and blade deformation value of the fan blade during the welding process based on the deformation monitoring data; determining the deformation anomaly of the fan blade during the welding process based on the temperature data and the blade deformation value; determining the error compensation of the welding process based on the blade vibration data of the fan blade during the welding process; adjusting the deformation anomaly based on the error compensation to obtain the deformation monitoring result of the fan blade. The method compensates for the deformation anomaly according to the blade vibration data, effectively reduces the possibility of errors in the monitoring process caused by external interference, and improves the accuracy of deformation monitoring of the fan blade.

Description

Technical Field

[0001] The present invention relates to the technical field of force or stress measurement, and in particular to a deformation monitoring method and system for centrifugal fan blade welding in the technical field of force or stress measurement. Background Art

[0002] Centrifugal fans are key equipment commonly found in industrial production, and the welding quality of their blades directly affects the overall performance and safety. Welding is a crucial step in the manufacturing process of centrifugal fan blades, and the thermal deformation and stress changes generated during the welding process may affect the structural stability and service life of the blades, thereby affecting the reliability of their welding quality.

[0003] The quality inspection method in the relevant technology mainly relies on visual inspection and empirical judgment. This method has the problems of strong subjectivity, low efficiency and inability to provide real-time feedback, which makes it difficult to meet the needs of modern manufacturing for high-quality and high-efficiency production. At present, the existing deformation monitoring methods for centrifugal fan blade welding, such as monitoring using sensors, may not be accurate enough to capture tiny deformations, resulting in inaccurate monitoring results. Some monitoring methods require a long time to obtain monitoring results and cannot achieve real-time monitoring. In addition, environmental interference such as high temperature and vibration generated during the welding process may affect the normal operation of the monitoring equipment, resulting in inaccurate deformation monitoring of fan blade welding. Summary of the invention

[0004] In order to solve the technical problem that deformation monitoring of fan blade welding is not accurate enough in the prior art, the purpose of the present invention is to provide a deformation monitoring method and system for centrifugal fan blade welding. The technical solution adopted is as follows:

[0005] In a first aspect, an embodiment of the present invention provides a deformation monitoring method for centrifugal fan blade welding, the method comprising:

[0006] Obtain deformation monitoring data of fan blades during welding;

[0007] Based on the deformation monitoring data, determining the temperature data and blade deformation value of the fan blade during the welding process;

[0008] Determining the degree of abnormal deformation of the fan blade during the welding process based on the temperature data and the blade deformation value;

[0009] Determining error compensation of the welding process based on blade vibration data of the fan blade during the welding process;

[0010] Adjusting the deformation abnormality based on the error compensation to obtain a deformation monitoring result of the wind turbine blade;

[0011] The step of obtaining deformation monitoring data of the fan blade during the welding process includes:

[0012] During the welding process of the fan blade, obtaining surface deformation data of the fan blade in the welding area and thermal imaging of the fan blade in the welding area;

[0013] Determining the surface deformation data and the thermal imaging as the deformation monitoring data;

[0014] The step of determining the temperature data of the fan blade during the welding process based on the deformation monitoring data includes:

[0015] Determining the local stress and thermal influence of the fan blade during the welding process based on the deformation monitoring data;

[0016] Determining the local stress and the thermal influence as the temperature data;

[0017] The determining, based on the deformation monitoring data, the local stress of the fan blade during the welding process comprises:

[0018] In the thermal image in the deformation monitoring data, determining the temperature difference between adjacent temperature regions;

[0019] Based on the average value of the temperature difference, obtaining the local stress of the fan blade during the welding process;

[0020] Determining the thermal influence of the fan blade during the welding process based on the deformation monitoring data includes:

[0021] Determining the temperature value of each position of the fan blade in the welding area based on the thermal imaging in the deformation monitoring data;

[0022] Based on the temperature value at each position, determining the temperature difference between any two positions;

[0023] Based on the temperature difference at the two arbitrary positions, obtaining the thermal influence of the fan blade during the welding process;

[0024] Determining the blade deformation value of the fan blade during the welding process based on the deformation monitoring data includes:

[0025] Determining the fluctuation variance of the surface deformation data in the deformation monitoring data within a collection period;

[0026] During the acquisition period, determining the difference between the surface deformation data at any moment and a preset deformation threshold;

[0027] The difference and the fluctuation variance are merged to obtain the blade deformation value of the fan blade during the welding process, and the blade deformation value L of the fan blade during the welding process is calculated, as shown in formula (1):

[0028] (1); in, It represents the fluctuation variance detected by the deformation monitoring equipment during the acquisition period; Indicates the preset deformation threshold for fan blade deformation during welding; represents the monitored value of the deformation at the jth moment in the monitoring period, and and Not equal, that is Not 0; exists at n time points in total.

[0029] Further, determining the abnormal deformation degree of the fan blade during the welding process based on the temperature data and the blade deformation value includes:

[0030] Determining the Euclidean norm between the thermal influence in the temperature data and the blade deformation value;

[0031] The Euclidean norm is adjusted based on the local stress in the temperature data to obtain the deformation anomaly of the fan blade during the welding process.

[0032] Further, the determining of the error compensation of the welding process based on the blade vibration data of the fan blade during the welding process includes:

[0033] determining a vibration amplitude of the blade vibration data;

[0034] Based on the kurtosis value of the preset Gaussian distribution and the vibration amplitude, an error compensation of the welding process is determined.

[0035] Further, determining the vibration amplitude of the blade vibration data includes:

[0036] sorting the blade vibration data to obtain sorted vibration data;

[0037] In the sorted vibration data, determining the numerical difference between two adjacent data to obtain a plurality of numerical differences;

[0038] Based on the plurality of numerical differences, the vibration amplitude is determined.

[0039] In a second aspect, a deformation monitoring system for centrifugal fan blade welding is provided, the system comprising:

[0040] An acquisition module is used to acquire deformation monitoring data of the fan blades during the welding process;

[0041] A first determination module, used to determine the temperature data and blade deformation value of the fan blade during the welding process based on the deformation monitoring data;

[0042] A second determination module, configured to determine the degree of abnormal deformation of the fan blade during the welding process based on the temperature data and the blade deformation value;

[0043] A third determination module is used to determine the error compensation of the welding process based on the blade vibration data of the fan blade during the welding process;

[0044] An adjustment module, used for adjusting the deformation abnormality based on the error compensation to obtain a deformation monitoring result of the wind turbine blade;

[0045] The step of obtaining deformation monitoring data of the fan blade during the welding process includes:

[0046] During the welding process of the fan blade, obtaining surface deformation data of the fan blade in the welding area and thermal imaging of the fan blade in the welding area;

[0047] Determining the surface deformation data and the thermal imaging as the deformation monitoring data;

[0048] The step of determining the temperature data of the fan blade during the welding process based on the deformation monitoring data includes:

[0049] Determining the local stress and thermal influence of the fan blade during the welding process based on the deformation monitoring data;

[0050] Determining the local stress and the thermal influence as the temperature data;

[0051] The determining, based on the deformation monitoring data, the local stress of the fan blade during the welding process comprises:

[0052] In the thermal image in the deformation monitoring data, determining the temperature difference between adjacent temperature regions;

[0053] Based on the average value of the temperature difference, obtaining the local stress of the fan blade during the welding process;

[0054] Determining the thermal influence of the fan blade during the welding process based on the deformation monitoring data includes:

[0055] Determining the temperature value of each position of the fan blade in the welding area based on the thermal imaging in the deformation monitoring data;

[0056] Based on the temperature value at each position, determining the temperature difference between any two positions;

[0057] Based on the temperature difference at the two arbitrary positions, obtaining the thermal influence of the fan blade during the welding process;

[0058] Determining the blade deformation value of the fan blade during the welding process based on the deformation monitoring data includes:

[0059] Determining the fluctuation variance of the surface deformation data in the deformation monitoring data within a collection period;

[0060] During the acquisition period, determining the difference between the surface deformation data at any moment and a preset deformation threshold;

[0061] The difference and the fluctuation variance are merged to obtain the blade deformation value of the fan blade during the welding process, and the blade deformation value L of the fan blade during the welding process is calculated, as shown in formula (1):

[0062] (1); in, It represents the fluctuation variance detected by the deformation monitoring equipment during the acquisition period; Indicates the preset deformation threshold for fan blade deformation during welding; represents the monitored value of the deformation at the jth moment in the monitoring period, and and Not equal, that is Not 0; exists at n time points in total.

[0063] The present invention has the following beneficial effects: after obtaining the deformation monitoring data of the fan blade during the welding process, the temperature data and the blade deformation value of the fan blade during the welding process are determined through the deformation monitoring data, so that the temperature data can reflect the temperature change of the fan blade during the welding process, and the blade deformation value can preliminarily reflect the deformation of the fan blade during the welding process. Afterwards, based on the temperature data and the blade deformation value, the deformation anomaly of the fan blade during the welding process is determined; in this way, by combining the temperature data and the blade deformation value, the deformation anomaly of the fan blade during the welding process can be quickly and accurately evaluated. Finally, the error compensation of the welding process is determined through the blade vibration data of the fan blade during the welding process, and the deformation anomaly is adjusted by using the error compensation to obtain the deformation monitoring result of the fan blade. In this way, the monitored deformation anomaly is compensated according to the blade vibration data introduced during the welding process, which effectively reduces the possibility of errors in the monitoring process due to external interference, avoids the situation of false alarm triggering due to external interference, and further improves the accuracy of deformation monitoring of centrifugal fan blades. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 It is a schematic diagram of the implementation process of the deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention;

[0066] Figure 2 Schematic diagram of an application scenario of a deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention;

[0067] Figure 3 Schematic diagram of an application scenario of a deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention;

[0068] Figure 4 is a schematic diagram of another application scenario of the deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention;

[0069] Figure 5 It is another implementation flow diagram of the deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention;

[0070] Figure 6It is a schematic diagram of a deformation curve of a fan blade in a deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention;

[0071] Figure 7 It is a schematic diagram of a fitting curve of blade vibration data of a deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention;

[0072] Figure 8 It is a schematic diagram of the composition structure of a deformation monitoring system for centrifugal fan blade welding provided by an embodiment of the present invention;

[0073] Fig. 9 It is a structural schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0074] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the deformation monitoring method for centrifugal fan blade welding proposed by the present invention, its specific implementation method, structure, characteristics and effects are described in detail as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0075] Among them, in the description of the embodiments of the present invention, unless otherwise specified, " / " means or, for example, A / B can mean A or B: "and / or" in the text is only a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present invention, "multiple" refers to two or more than two.

[0076] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0077] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0078] The specific scheme of the deformation monitoring method for centrifugal fan blade welding provided by the present invention is described in detail below with reference to the accompanying drawings.

[0079] See also Figure 1, which shows a flow chart of an implementation of a deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention. The method can be implemented by the following steps:

[0080] 101, obtaining deformation monitoring data of the fan blade during the welding process over a period of time.

[0081] 102. According to the change of deformation monitoring data, the deformation value of the blade during the welding process is evaluated.

[0082] 103, using thermal imaging technology to obtain the thermal influence of the welding process.

[0083] 104, the blade deformation value is corrected according to the local stress during the welding process to obtain the actual deformation anomaly.

[0084] 105. Error compensation during welding is obtained through vibration monitoring equipment installed on the blade.

[0085] 106. Compensate the actual deformation abnormality according to the error compensation to obtain a more accurate deformation monitoring result.

[0086] 107, a subsequent analysis is performed based on the obtained deformation monitoring results to provide real-time warning and advance correction of welding parameters.

[0087] In an embodiment of the present invention, the actual deformation monitoring results of the fan blade welding are evaluated based on the monitoring data performance behavior of the deformation monitoring equipment and the thermal impact and local stress conditions in the actual welding process; then, the monitoring results are compensated according to the vibration conditions introduced in the actual welding process, thereby effectively reducing the possibility of errors in the monitoring results due to external interference, avoiding the situation where the deformation monitoring system has an alarm due to external interference, and further improving the deformation monitoring method and system stability and accuracy of the centrifugal fan blade welding.

[0088] The embodiment of the present invention provides a deformation monitoring method for centrifugal fan blade welding, combining Figure 2 The steps described are described below:

[0089] 201, obtaining deformation monitoring data of the fan blade during the welding process.

[0090] Here, the deformation monitoring data includes: the surface deformation data of the fan blade during the welding process and the thermal imaging of the fan blade in the welding area. In some possible implementations, during the welding process of the fan blade, the surface deformation data of the fan blade in the welding area and the thermal imaging of the fan blade in the welding area are obtained; and the surface deformation data and the thermal imaging are determined as the deformation monitoring data. In this way, by obtaining the surface deformation data of the fan blade and the thermal imaging of the welding area, the deformation monitoring data of the fan blade can be quickly obtained, so as to facilitate the subsequent deformation monitoring of the fan blade.

[0091] In some possible implementations, welding is a key process step in the manufacturing process of centrifugal fan blades. The deformation monitoring method and system can monitor the deformation of the blades during the welding process in real time, promptly detect abnormal changes and defects in the welding process, and ensure that the welding quality meets the requirements. By real-time monitoring and analyzing the deformation data of the blades during the welding process, corresponding improvement measures are formulated based on the monitoring results to improve the stability of the welding process and the structural strength of the blades and reduce the occurrence of quality defects. Among them, the welding process of centrifugal fan blades is as follows: Figure 3 As shown, in Figure 3 The fan blades are welded to obtain Figure 4 The wind blade after welding is shown.

[0092] Here, first of all, it is necessary to install deformation monitoring equipment at the key parts of the centrifugal fan blades. These deformation monitoring equipment are used to measure the deformation changes of the blade surface in the welding area to obtain surface deformation data. After the deformation monitoring equipment is installed, the deformation monitoring is calibrated to ensure the accuracy of its measurement results; the calibration process can be carried out by applying a known deformation variable or force, and adjusting the output of the monitoring equipment to correspond to the actual deformation variable; after calibration, continuous real-time measurement of the deformation data of the blade surface in the welding area begins; the collected deformation data needs to be transmitted to the monitoring system or data processing unit through the data transmission system, and then the received real-time data is processed and analyzed to determine the deformation changes in the welding area and obtain the surface deformation data of the fan blade. Afterwards, a thermal imager is used to collect images in the welding area to obtain thermal imaging of the fan blade in the welding area, so that the obtained surface deformation data and thermal imaging are used as deformation monitoring data of the fan blade during the welding process.

[0093] 202. Determine the temperature data and blade deformation value of the fan blade during the welding process based on the deformation monitoring data.

[0094] Here, the temperature data of the fan blade during the welding process is determined by thermal imaging in the deformation monitoring data. The blade deformation value of the fan blade during the welding process is determined by the surface deformation data in the deformation monitoring data. Among them, the temperature data includes: the local stress and thermal influence of the fan blade during the welding process.

[0095] In some possible implementations, the step 202 of “determining the temperature data of the fan blade during the welding process based on the deformation monitoring data” can be performed by Figure 5 The steps shown achieve:

[0096] 501. Determine the local stress and thermal influence of the fan blade during the welding process based on the deformation monitoring data.

[0097] Here, since the deformation monitoring data includes thermal imaging, the temperature difference between adjacent temperature areas is determined in the thermal imaging in the deformation monitoring data, that is, the thermal imaging is first divided into temperature areas, and then the temperature difference between adjacent temperature areas is calculated, thereby obtaining multiple temperature differences. Afterwards, based on the average value of the temperature difference, the local stress of the fan blade during the welding process is obtained. For example, the average value of multiple temperature differences is used as the local stress of the fan blade during the welding process. In this way, by calculating the temperature difference between adjacent areas, the local stress of the fan blade during the welding process can be quickly obtained.

[0098] In some possible implementations, during the welding process, rapid heating and cooling may introduce large temperature gradients inside the welding area. These gradients will cause local stresses. Large local temperature gradients may aggravate deformation during shrinkage. If the local temperature gradient difference is small, then even if the thermal influence is large, the non-uniformity of thermal shrinkage during cooling will be relatively reduced. During the welding process, the temperature gradient of the welding area is obtained through thermal imaging, and then the area with higher temperature, that is, the darkest area in the thermal imaging, is obtained. Then, the different temperature areas in the welding area are divided, and the difference in the average temperature between one or two adjacent temperature areas is calculated to obtain the local stress of the fan blade during the welding process, which is recorded as .

[0099] 502, determining the local stress and the thermal influence as the temperature data.

[0100] Here, the temperature value of the fan blade at each position in the welding area is determined by thermal imaging in the deformation monitoring data; that is, in the thermal imaging, the temperature value of the fan blade at each pixel point in the welding area is obtained. Afterwards, based on the temperature value at each position, the temperature difference at any two positions is determined, that is, the difference between the temperature values ​​at any two positions is calculated, so as to obtain the temperature difference at any two positions. Finally, based on the temperature difference at any two positions, the thermal influence of the fan blade during the welding process is obtained, for example, the temperature difference at any two positions is accumulated and averaged, so as to obtain the thermal influence of the fan blade during the welding process. In this way, through the thermal imaging in the deformation monitoring data, the local stress and thermal influence of the fan blade during the welding process can be accurately analyzed, so as to obtain the temperature data of the fan blade.

[0101] In some possible implementations, during the welding process, the high temperature generated by the welding arc causes local heating of the blade. After welding is completed, a temperature gradient is formed when the blade cools down, resulting in uneven thermal shrinkage in different parts, which in turn causes overall twisting and distortion of the blade.

[0102] A thermal imager is placed in the welding area to obtain the temperature distribution of the welding area during the welding process. Before welding, mark the welding area on the blade. Visible light can be used to mark or label. These marks will show obvious temperature changes in thermal imaging, and then determine the location of the welding area. Then, according to the temperature value at each position in the welding area, the temperature values ​​at any two positions form a set of temperature differences. All temperature differences are accumulated and averaged, and the average value of the difference can be recorded as JT; and the average temperature value at all positions is recorded as JG. The product of the two average values ​​JP represents the thermal influence of the welding area during welding. The larger the product, the uneven distribution of the high temperature generated by the welding arc in the welding area of ​​the blade, which will cause uneven thermal contraction in different parts during cooling, and then deformation, that is, the greater the thermal influence JP.

[0103] In some possible implementations, the step 202 of “determining the blade deformation value of the wind turbine blade during the welding process based on the deformation monitoring data” may be implemented through steps 221 to 223 (not shown):

[0104] 221, determining the fluctuation variance of the surface deformation data in the deformation monitoring data within a collection period.

[0105] Here, the deformation of the blades in the welding area is measured in real time and continuously by deformation monitoring equipment. However, in this process, the blades may be twisted and deformed due to the heat input during welding, and deformed due to thermal stress. In the process of monitoring the deformation, the monitoring data may fluctuate due to environmental influences, which in turn affects the accurate output of the deformation.

[0106] In some possible implementations, the fluctuation variance of the surface deformation data within a collection period may be monitored by a deformation monitoring device.

[0107] 222. During the acquisition period, determine the difference between the surface deformation data at any moment and a preset deformation threshold.

[0108] Here, during the acquisition period, the difference between the surface deformation data at each moment and the preset deformation threshold is calculated to obtain multiple differences. The preset deformation threshold can be set by parameters such as welding process, material properties, blade design, welding environment, etc. In an embodiment of the present invention, the preset deformation threshold can be set to 2° to 3°.

[0109] 223. Fusing the difference and the fluctuation variance to obtain a blade deformation value of the fan blade during the welding process.

[0110] Here, the multiple differences are averaged, and then the inverse of the average is multiplied by the fluctuation variance to obtain the blade deformation value of the fan blade during the welding process.

[0111] In the above steps 221 to 223, during the welding process of the centrifugal fan blades, the blades in the welding area may deform to a certain extent. If the deformation exceeds the preset deformation threshold, that is, the deformation exceeds the allowable range, the deformation monitoring system will detect the abnormal deformation, and then an alarm will be issued or the preset safety measures will be automatically initiated. Install strain gauges or deformation measurement equipment at key locations of the centrifugal fan blades to obtain deformation changes over a period of time, such as Figure 6 As shown, curve 61 represents the deformation of the fan blade during the collection period, wherein the horizontal axis represents the monitoring time (i.e., each moment in the collection period), and the vertical axis represents the deformation. By obtaining the predetermined threshold value of the blade deformation during the welding process, it is recorded as , calculate the blade deformation value L of the fan blade during the welding process, as shown in formula (1):

[0112] (1);

[0113] in, It represents the fluctuation variance detected by the deformation monitoring equipment during the acquisition period; Indicates the preset deformation threshold for fan blade deformation during welding; represents the monitored value of the deformation at the jth moment in the monitoring period, and and Not equal, that is is not 0; there are n time points in total; due to is not 0, and n is greater than 0, so Not 0. It means that during the welding process of the fan blade, the data collected by the deformation monitoring equipment shows a relatively abnormal behavior. The deformation value fluctuates to a certain extent and the difference with the preset deformation threshold is small, that is, the blade deformation value in a short period of time is relatively abnormal; the deformation behavior can be comprehensively evaluated from the perspective of thermal stress influence. In this way, by analyzing the variance of the surface deformation data of the blade during the collection period, and the difference between the surface deformation data and the preset deformation threshold at each moment, the blade deformation value of the fan blade during the welding process can be quickly and accurately calculated.

[0114] 203. Determine the degree of abnormal deformation of the fan blade during the welding process based on the temperature data and the blade deformation value.

[0115] Here, by combining the blade deformation value in the temperature data, the thermal influence of the temperature data and the local stress, the deformation anomaly of the fan blade during the welding process can be accurately calculated.

[0116] In some possible implementations, the Euclidean norm between the thermal influence in the temperature data and the blade deformation value is determined; and the Euclidean norm is adjusted based on the local stress in the temperature data to obtain the deformation anomaly of the fan blade during the welding process. In this way, by combining the thermal influence and the blade deformation, and using the local stress to correct the Euclidean norm between the thermal influence and the blade deformation value, the deformation anomaly of the fan blade during the welding process can be accurately evaluated.

[0117] In some possible implementations, the deformation anomaly JH of the fan blade during the welding process is as shown in formula (2):

[0118] (2);

[0119] in, It indicates the thermal influence during the welding process of the fan blades during this period of time; L indicates the blade deformation value during the monitoring period; It represents the average value of the temperature difference between all adjacent temperature areas in the thermal imaging data.

[0120] The Euclidean norm represents the thermal influence and blade deformation value during the welding process of the fan blades during this period of time. The purpose is to have a comprehensive output of the deformation monitoring results of the blades, because during the welding process of the blades, the main influence of its deformation behavior still comes from the influence of thermal stress. The larger the value, the more realistic the blade deformation value; As the penalty term for expressing the leaf deformation value, the specific penalty process is as follows:

[0121] It indicates the magnitude of local stress during welding. The smaller the average value, the smaller the temperature gradient between adjacent temperature zones. Although the temperature distribution in the welding area is uneven, the more obvious the blade deformation value is. The larger the value of , but the smaller the temperature gradient, the less residual stress in the local area may be generated. This is because a smaller temperature gradient means a relatively uniform cooling rate, and the thermal shrinkage stress in the welding area may be relatively balanced, and no significant tensile or compressive stress will be generated in the local area; that is, it will penalize the overall result. It will not be too large, which also means that the output blade deformation value is more accurate.

[0122] 204 , determining error compensation of the welding process based on blade vibration data of the fan blade during the welding process.

[0123] Here, a vibration monitoring device on the fan blade is used to obtain the blade vibration data of the fan blade during the welding process. Based on the deformation monitoring results obtained above, there may be some external interference. For example, in the welding process, especially for welding operations with larger blades, vibration and impact may be introduced. The generated mechanical vibration will be misunderstood as a deformation signal, which will cause a certain error in the deformation monitoring result and cover up part of the real deformation amount. Install a vibration monitoring device on the welded fan blade, monitor the blade vibration data during this period, fit the vibration monitoring data at all times, and obtain the fitting curve of the blade vibration data, such as Figure 7 As shown, curve 71 represents the fitting curve of the blade vibration data, wherein the abscissa represents the monitoring time and the ordinate represents the vibration intensity.

[0124] In some possible implementations, the above step 204 may be implemented by the following steps 241 and 242 (not shown):

[0125] 241, determining the vibration amplitude of the blade vibration data.

[0126] Here, the blade vibration data is sorted to obtain sorted vibration data; for example, all vibration monitoring values ​​are arranged in ascending order to obtain sorted vibration data. Afterwards, in the sorted vibration data, the numerical difference between two adjacent data is determined to obtain multiple numerical differences; for example, in the sorted vibration data, the difference between two adjacent numerical values ​​is calculated to obtain multiple numerical differences. Finally, based on the multiple numerical differences, the vibration amplitude is determined. For example, all numerical differences are traversed until the position where the first maximum numerical difference appears, and then the range to the right of the position where the numerical difference is located is all data points with larger vibration amplitudes in the blade vibration data, and the vibration amplitude is recorded as h.

[0127] 242. Determine error compensation for the welding process based on the kurtosis value of a preset Gaussian distribution and the vibration amplitude.

[0128] Here, we obtain the kurtosis value of the standard Gaussian distribution, denoted as Among them, the error compensation f during welding is shown in formula (3):

[0129] (3);

[0130] in, represents the average vibration of all data points with larger amplitudes in the blade vibration data of the vibration monitoring device installed on the blade during the monitoring period; Y represents the kurtosis value of the fitting curve of the blade vibration data, represents the kurtosis value of the standard Gaussian distribution, and is not equal to Y, that is Not 0; th() represents the hyperbolic tangent function. This represents the error analysis in the deformation monitoring process of fan blades. Fan blades are generally lightweight structures, so the vibration caused during welding is usually small. This small-amplitude vibration may be continuous and periodic during the welding process, but its amplitude is relatively small; the smaller the product, the smaller the amplitude, and the vibration monitoring data has a strong periodicity, that is, the error in the deformation measurement result is small; on the contrary, the error is large, that is, it is necessary to perform error compensation in the process of deformation monitoring of fan blades during welding, so that the deformation monitoring system will not misjudge the deformation amount during welding. In this way, by combining the kurtosis value with the vibration amplitude, the error compensation in the welding process is calculated to compensate for the deformation abnormality, thereby improving the accuracy of the deformation monitoring results.

[0131] 205 , adjusting the deformation abnormality based on the error compensation to obtain a deformation monitoring result of the wind turbine blade.

[0132] Here, according to the error compensation in the deformation monitoring process of the centrifugal fan blade welding obtained above, the deformation abnormality is compensated according to the error compensation, so that a more accurate deformation monitoring result can be output. That is, the actual deformation monitoring result of the fan blade during this period of time is , norm() represents the normalization function. This compensation behavior can minimize the negative impact of vibration on the deformation measurement results and ensure accurate deformation monitoring results.

[0133] Subsequently, the welding process can be effectively monitored and controlled through the real-time deformation monitoring results of the fan blades, or the deformation change trend in the welding process can be analyzed based on the actual deformation monitoring results, and the welding behavior can be effectively adjusted according to the change trend, aiming to improve the monitoring accuracy, real-time and cost-effectiveness, to ensure the quality and safety of the blade welding process, thereby promoting technological progress and market competitiveness of the centrifugal fan manufacturing industry.

[0134] In an embodiment of the present invention, after the deformation monitoring data of the fan blade during the welding process is obtained, the temperature data and the blade deformation value of the fan blade during the welding process are determined through the deformation monitoring data, so that the temperature data can reflect the temperature change of the fan blade during the welding process, and the blade deformation value can preliminarily reflect the deformation of the fan blade during the welding process. Afterwards, based on the temperature data and the blade deformation value, the deformation anomaly of the fan blade during the welding process is determined; in this way, by combining the temperature data and the blade deformation value, the deformation anomaly of the fan blade during the welding process can be quickly and accurately evaluated. Finally, the error compensation of the welding process is determined through the blade vibration data of the fan blade during the welding process, and the deformation anomaly is adjusted by using the error compensation to obtain the deformation monitoring result of the fan blade. In this way, the monitored deformation anomaly is compensated according to the blade vibration data introduced during the welding process, which effectively reduces the possibility of errors in the monitoring process due to external interference, avoids the situation of false alarm triggering due to external interference, and further improves the accuracy of deformation monitoring of centrifugal fan blade welding.

[0135] The embodiment of the present invention provides a deformation monitoring system for centrifugal fan blade welding, such as Figure 8 As shown, the system 800 includes:

[0136] An acquisition module 801 is used to acquire deformation monitoring data of the fan blade during the welding process;

[0137] A first determination module 802 is used to determine the temperature data and blade deformation value of the fan blade during the welding process based on the deformation monitoring data;

[0138] A second determination module 803 is used to determine the abnormality of deformation of the fan blade during the welding process based on the temperature data and the blade deformation value;

[0139] A third determination module 804 is used to determine error compensation of the welding process based on blade vibration data of the fan blade during the welding process;

[0140] The adjustment module 805 is used to adjust the deformation abnormality based on the error compensation to obtain the deformation monitoring result of the wind turbine blade.

[0141] In some possible implementations, the acquisition module 801 is also used to obtain the surface deformation data of the fan blade in the welding area and the thermal imaging of the fan blade in the welding area during the welding process of the fan blade; and determine the surface deformation data and the thermal imaging as the deformation monitoring data.

[0142] In some possible implementations, the first determination module 802 is further used to determine the local stress and thermal influence of the wind turbine blade during the welding process based on the deformation monitoring data; and determine the local stress and the thermal influence as the temperature data.

[0143] In some possible implementations, the first determination module 802 is further used to determine the temperature difference between adjacent temperature areas in the thermal imaging in the deformation monitoring data; and obtain the local stress of the wind turbine blade during the welding process based on the average value of the temperature difference.

[0144] In some possible implementations, the first determination module 802 is also used to determine the temperature value of the fan blade at each position in the welding area based on the thermal imaging in the deformation monitoring data; determine the temperature difference between any two positions based on the temperature value at each position; and obtain the thermal influence of the fan blade during the welding process based on the temperature difference between any two positions.

[0145] In some possible implementations, the first determination module 802 is also used to determine the fluctuation variance of the surface deformation data in the deformation monitoring data within a collection period; during the collection period, determine the difference between the surface deformation data at any moment and a preset deformation threshold; and fuse the difference and the fluctuation variance to obtain the blade deformation value of the wind turbine blade during the welding process.

[0146] In some possible implementations, the second determination module 803 is also used to determine the Euclidean norm between the thermal influence in the temperature data and the blade deformation value; the Euclidean norm is adjusted based on the local stress in the temperature data to obtain the deformation anomaly of the fan blade during the welding process.

[0147] In some possible implementations, the third determination module 804 is further used to determine the vibration amplitude of the blade vibration data; and determine the error compensation of the welding process based on the kurtosis value of a preset Gaussian distribution and the vibration amplitude.

[0148] In some possible implementations, the third determination module 804 is further used to sort the blade vibration data to obtain sorted vibration data; in the sorted vibration data, determine the numerical difference between two adjacent data to obtain multiple numerical differences; and determine the vibration amplitude based on the multiple numerical differences.

[0149] Optionally, the transmission medium can be a wired link (such as but not limited to coaxial cable, optical fiber and digital subscriber line (DSL)) or a wireless link (such as but not limited to wireless Fidelity (WIFI), Bluetooth and mobile device network).

[0150] It should be noted that: the device provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0151] Fig. 9 is a schematic diagram of the structure of a computer device provided by an embodiment of the present invention. Fig. 9 As shown, the computer device 900 includes: a memory 901, a processor 902, and a computer program 903 stored in the memory 901 and running on the processor 902, wherein when the processor 902 executes the computer program 903, the computer device can execute any of the deformation monitoring methods for centrifugal fan blade welding described above.

[0152] In addition, an embodiment of the present invention also protects a device, which may include a memory and a processor, wherein the memory stores an executable program code, and the processor is used to call and execute the executable program code to execute the deformation monitoring method for centrifugal fan blade welding provided by an embodiment of the present invention.

[0153] This embodiment can divide the functional modules of the device according to the above method example. For example, it can correspond to each functional module, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation. It should be noted that all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here.

[0154] It should be understood that the device provided in this embodiment is used to execute the above-mentioned deformation monitoring method for centrifugal fan blade welding, so the same effect as the above-mentioned implementation method can be achieved. In the case of an integrated unit, the device may include a processing module and a storage module. Among them, when the device is applied to a device, the processing module can be used to control and manage the actions of the device. The storage module can be used to support the device to execute mutual program codes, etc. Among them, the processing module can be a processor or a controller, which can implement or execute various exemplary logic boxes, modules and circuits described in combination with the contents disclosed in the present invention. The processor can also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc., and the storage module can be a memory.

[0155] In addition, the device provided in the embodiment of the present invention may be a chip, a component or a module, and the chip may include a connected processor and a memory; wherein the memory is used to store instructions, and when the processor calls and executes the instructions, the chip can execute the deformation monitoring method for centrifugal fan blade welding provided in the above embodiment. This embodiment also provides a computer-readable storage medium, in which a computer program code is stored, and when the computer program code is run on a computer, the computer executes the above-mentioned related method steps to implement the deformation monitoring method for centrifugal fan blade welding provided in the above embodiment.

[0156] This embodiment also provides a computer program product. When the computer program product is run on a computer, the computer executes the above-mentioned related steps to implement the deformation monitoring method for centrifugal fan blade welding provided in the above embodiment. Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding method provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method provided above, and will not be repeated here. Through the description of the above implementation mode, the technicians in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In practical applications, the above-mentioned function allocation can be completed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In the embodiments provided by the present invention, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiment described above is only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.

[0157] It should be noted that the sequence of the above-mentioned embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or may be advantageous. The various embodiments in this specification are described in a progressive manner, and the same and similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments. The above content is only a specific implementation method of the present invention, but the protection scope of the present invention is not limited to this. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered within the protection scope of the present invention.

Claims

1. A deformation monitoring method for centrifugal fan blade welding, characterized in that: The method comprises: Obtain deformation monitoring data of fan blades during welding; Based on the deformation monitoring data, determining the temperature data and blade deformation value of the fan blade during the welding process; Determining the degree of abnormal deformation of the fan blade during the welding process based on the temperature data and the blade deformation value; Determining error compensation of the welding process based on blade vibration data of the fan blade during the welding process; Adjusting the deformation abnormality based on the error compensation to obtain a deformation monitoring result of the wind turbine blade; The step of obtaining deformation monitoring data of the fan blade during the welding process includes: During the welding process of the fan blade, obtaining surface deformation data of the fan blade in the welding area and thermal imaging of the fan blade in the welding area; Determining the surface deformation data and the thermal imaging as the deformation monitoring data; The step of determining the temperature data of the fan blade during the welding process based on the deformation monitoring data includes: Determining the local stress and thermal influence of the fan blade during the welding process based on the deformation monitoring data; Determining the local stress and the thermal influence as the temperature data; The determining, based on the deformation monitoring data, the local stress of the fan blade during the welding process comprises: In the thermal image in the deformation monitoring data, determining the temperature difference between adjacent temperature regions; Based on the average value of the temperature difference, obtaining the local stress of the fan blade during the welding process; Determining the thermal influence of the fan blade during the welding process based on the deformation monitoring data includes: Determining the temperature value of each position of the fan blade in the welding area based on the thermal imaging in the deformation monitoring data; Based on the temperature value at each position, determining the temperature difference between any two positions; Based on the temperature difference at the two arbitrary positions, obtaining the thermal influence of the fan blade during the welding process; Determining the blade deformation value of the fan blade during the welding process based on the deformation monitoring data includes: Determining the fluctuation variance of the surface deformation data in the deformation monitoring data within a collection period; During the acquisition period, determining the difference between the surface deformation data at any moment and a preset deformation threshold; The difference and the fluctuation variance are merged to obtain the blade deformation value of the fan blade during the welding process, and the blade deformation value L of the fan blade during the welding process is calculated, as shown in formula (1): （1）； in, It represents the fluctuation variance detected by the deformation monitoring equipment during the acquisition period; Indicates the preset deformation threshold for fan blade deformation during welding; represents the monitored value of the deformation at the jth moment in the monitoring period, and and Not equal, that is Not 0; exists at n time points in total.

2. The deformation monitoring method for centrifugal fan blade welding according to claim 1 is characterized in that: The step of determining the abnormal deformation degree of the fan blade during the welding process based on the temperature data and the blade deformation value includes: Determining the Euclidean norm between the thermal influence in the temperature data and the blade deformation value; The Euclidean norm is adjusted based on the local stress in the temperature data to obtain the deformation anomaly of the fan blade during the welding process.

3. The deformation monitoring method for centrifugal fan blade welding according to claim 1 is characterized in that: The step of determining error compensation of the welding process based on blade vibration data of the fan blade during the welding process comprises: determining a vibration amplitude of the blade vibration data; Based on the kurtosis value of the preset Gaussian distribution and the vibration amplitude, an error compensation of the welding process is determined.

4. The deformation monitoring method for centrifugal fan blade welding according to claim 3 is characterized in that: Determining the vibration amplitude of the blade vibration data includes: sorting the blade vibration data to obtain sorted vibration data; In the sorted vibration data, determining the numerical difference between two adjacent data to obtain a plurality of numerical differences; Based on the plurality of numerical differences, the vibration amplitude is determined.

5. The deformation monitoring system for centrifugal fan blade welding is characterized by: The system comprises: An acquisition module is used to acquire deformation monitoring data of the fan blades during the welding process; A first determination module, used to determine the temperature data and blade deformation value of the fan blade during the welding process based on the deformation monitoring data; A second determination module, configured to determine the degree of abnormal deformation of the fan blade during the welding process based on the temperature data and the blade deformation value; A third determination module is used to determine the error compensation of the welding process based on the blade vibration data of the fan blade during the welding process; An adjustment module, used for adjusting the deformation abnormality based on the error compensation to obtain a deformation monitoring result of the wind turbine blade; The step of obtaining deformation monitoring data of the fan blade during the welding process includes: During the welding process of the fan blade, obtaining surface deformation data of the fan blade in the welding area and thermal imaging of the fan blade in the welding area; Determining the surface deformation data and the thermal imaging as the deformation monitoring data; The step of determining the temperature data of the fan blade during the welding process based on the deformation monitoring data includes: Determining the local stress and thermal influence of the fan blade during the welding process based on the deformation monitoring data; Determining the local stress and the thermal influence as the temperature data; The determining, based on the deformation monitoring data, the local stress of the fan blade during the welding process comprises: In the thermal image in the deformation monitoring data, determining the temperature difference between adjacent temperature regions; Based on the average value of the temperature difference, obtaining the local stress of the fan blade during the welding process; Determining the thermal influence of the fan blade during the welding process based on the deformation monitoring data includes: Determining the temperature value of each position of the fan blade in the welding area based on the thermal imaging in the deformation monitoring data; Based on the temperature value at each position, determining the temperature difference between any two positions; Based on the temperature difference at the two arbitrary positions, obtaining the thermal influence of the fan blade during the welding process; Determining the blade deformation value of the fan blade during the welding process based on the deformation monitoring data includes: Determining the fluctuation variance of the surface deformation data in the deformation monitoring data within a collection period; During the acquisition period, determining the difference between the surface deformation data at any moment and a preset deformation threshold; The difference and the fluctuation variance are merged to obtain the blade deformation value of the fan blade during the welding process, and the blade deformation value L of the fan blade during the welding process is calculated, as shown in formula (1): （1）； in, It represents the fluctuation variance detected by the deformation monitoring equipment during the acquisition period; Indicates the preset deformation threshold for fan blade deformation during welding; represents the monitored value of the deformation at the jth moment in the monitoring period, and and Not equal, that is Not 0; exists at n time points in total.

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