Analysis and early warning method and device for tightening quality defects

Abstract

The invention discloses an analysis and early warning method and device for tightening quality defects, and relates to the technical field of vehicle manufacturing, and the method comprises the following steps: collecting a torque and angle curve and a torque and time curve when a to-be-tightened point is tightened; based on the torque and angle curve and the torque and time curve, a real-time tightening curve is obtained through integration; and based on a preset abnormal tightening curve model corresponding to the to-be-tightened point, identifying a real-time tightening curve, and performing tightening quality defect early warning on tightening work. According to the method, the obtained real-time tightening curve is compared with the tightening abnormal curve model which is obtained through replacement and comprises the multiple tightening abnormal curves, so that tightening quality defect early warning is achieved, and the working efficiency is effectively improved on the premise that the early warning reliability is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of vehicle manufacturing, and in particular to a method and device for analyzing and early warning of tightening quality defects. Background Art

[0002] In the vehicle manufacturing process, tightening of key points requires strengthening of process quality monitoring to avoid tightening quality problems. At present, traditional technical means, using tightening curves to analyze quality problems, can only solve problems point by point, and cannot identify and intercept online quality problems in advance.

[0003] Therefore, in order to meet actual needs, an analysis and early warning technology for tightening quality defects is provided. Summary of the invention

[0004] In view of the defects existing in the prior art, the purpose of the present invention is to provide a method and device for analyzing and warning of tightening quality defects, by comparing the obtained real-time tightening curve with a tightening abnormality curve model obtained by replacement and including multiple tightening abnormality curves, so as to realize tightening quality defect warning, and effectively improve work efficiency while ensuring the reliability of warning.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] In a first aspect, the present application provides a method for analyzing and early warning of tightening quality defects, the method comprising the following steps:

[0007] Collect the torque and angle curve and the torque and time curve when tightening the point to be tightened;

[0008] Based on the torque and angle curve and the torque and time curve, integrating to obtain a real-time tightening curve;

[0009] Based on a preset abnormal tightening curve model corresponding to the point to be tightened, the real-time tightening curve is identified, and a tightening quality defect warning is issued for the tightening work.

[0010] On the basis of the above technical solution, the method further includes a tightening abnormal curve model construction process, and the tightening abnormal curve model construction process includes the following steps:

[0011] According to a plurality of different preset actual operation defects, tightening work is performed on a reference tightening point of the same model as the point to be tightened, and a torque-angle curve and a torque-time curve corresponding to each of the actual operation defects are obtained;

[0012] Based on the torque and angle curves and the torque and time curves corresponding to the actual operation defects, a real-time tightening curve corresponding to each actual operation defect is obtained by integration;

[0013] Based on the real-time tightening curves corresponding to the actual operation defects, the tightening abnormality curve model is constructed; wherein,

[0014] Each of the actual operation defects corresponds to an operation defect type.

[0015] On the basis of the above technical solution, the method further includes a tightening abnormal curve model construction process, and the tightening abnormal curve model construction process includes the following steps:

[0016] According to a plurality of different preset actual operation defects, tightening work is performed on reference tightening points of different models to obtain torque and angle curves and torque and time curves corresponding to each of the actual operation defects;

[0017] Based on the torque and angle curves and the torque and time curves corresponding to the actual operation defects corresponding to the reference tightening points of different models, the real-time tightening curves corresponding to the actual operation defects are obtained by integration;

[0018] The tightening abnormality curve model is constructed based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models.

[0019] On the basis of the above technical solution, based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models, the tightening abnormality curve model is constructed, including the following steps:

[0020] Based on the real-time tightening curve corresponding to the actual operation defect, the curve slope characteristics, curve fluctuation characteristics, and torque angle area characteristics are classified to construct the tightening abnormality curve model;

[0021] The tightening abnormality curve model includes real-time tightening curves corresponding to reference tightening points of different models corresponding to different actual operation defects; wherein,

[0022] Each of the actual operation defects corresponds to an operation defect type.

[0023] On the basis of the above technical solution, based on the preset tightening abnormal curve model corresponding to the point to be tightened, the real-time tightening curve is identified, and a tightening quality defect warning is performed for the tightening work, including the following steps:

[0024] When it is determined that there is a tightening quality defect, publishing the operation defect type corresponding to the real-time tightening curve;

[0025] When it is determined that there is no tightening quality defect, a tightening qualified prompt is issued.

[0026] In a second aspect, the present application also provides a tightening quality defect analysis and early warning device, the device comprising:

[0027] A real-time monitoring module, which is used to collect torque and angle curves and torque and time curves when tightening the point to be tightened;

[0028] A curve integration module, which is used to integrate and obtain a real-time tightening curve based on the torque and angle curve and the torque and time curve;

[0029] The defect warning module is used to identify the real-time tightening curve based on a preset tightening abnormality curve model corresponding to the point to be tightened, and to provide a tightening quality defect warning for the tightening work.

[0030] On the basis of the above technical solution, the device further comprises a model building module;

[0031] The model building module is used to obtain torque and angle curves and torque and time curves corresponding to each actual operation defect when tightening a reference tightening point of the same model as the point to be tightened according to a plurality of different preset actual operation defects;

[0032] The model building module is also used to integrate and obtain the real-time tightening curve corresponding to each actual operation defect based on the torque and angle curve and the torque and time curve corresponding to each actual operation defect;

[0033] The model building module is also used to build the tightening abnormality curve model based on the real-time tightening curve corresponding to each actual operation defect; wherein,

[0034] Each of the actual operation defects corresponds to an operation defect type.

[0035] On the basis of the above technical solution, the model building module is also used to obtain torque and angle curves and torque and time curves corresponding to various preset actual operation defects, and to perform tightening work on reference tightening points of different models;

[0036] The model building module is also used to integrate and obtain the real-time tightening curve corresponding to each actual operation defect based on the torque and angle curve and the torque and time curve corresponding to each actual operation defect corresponding to the reference tightening points of different models;

[0037] The model building module is also used to build the tightening abnormality curve model based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models.

[0038] On the basis of the above technical solution, the model building module is also used to classify the real-time tightening curve corresponding to the actual operation defect according to the curve slope characteristics, curve fluctuation characteristics, and torque angle area characteristics to build the tightening abnormality curve model;

[0039] The model building module is also used for the tightening abnormal curve model to include real-time tightening curves corresponding to reference tightening points of different models corresponding to different actual operation defects; wherein,

[0040] Each of the actual operation defects corresponds to an operation defect type.

[0041] On the basis of the above technical solution, the defect warning module is also used to publish the operation defect type corresponding to the real-time tightening curve when it is determined that there is a tightening quality defect;

[0042] The defect warning module is also used to issue a tightening qualified prompt when it is determined that there is no tightening quality defect.

[0043] Compared with the prior art, the advantages of the present invention are:

[0044] The present invention compares the obtained real-time tightening curve with a tightening abnormality curve model obtained by replacement and including a plurality of tightening abnormality curves, thereby realizing early warning of tightening quality defects, and effectively improving work efficiency while ensuring the reliability of early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 It is a flowchart of the steps of the method for analyzing and early warning of tightening quality defects according to an embodiment of the present invention;

[0047] Figure 2 It is a structural block diagram of a curve acquisition and analysis system in a method for analyzing and warning tightening quality defects according to an embodiment of the present invention;

[0048] Figure 3 It is a working principle diagram of the curve acquisition and analysis system in the tightening quality defect analysis and early warning method according to an embodiment of the present invention;

[0049] Figure 4 It is a schematic diagram of a standard real-time tightening curve in the tightening quality defect analysis and early warning method according to an embodiment of the present invention;

[0050] Figure 5It is a schematic diagram of comparing the standard and actual real-time tightening curves in the tightening quality defect analysis and early warning method according to an embodiment of the present invention;

[0051] Figure 6 It is a structural block diagram of a device for analyzing and early warning tightening quality defects according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0053] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings.

[0054] The embodiment of the present application provides a method and device for analyzing and warning of tightening quality defects, which compares the obtained real-time tightening curve with a tightening abnormality curve model obtained by replacement and including multiple tightening abnormality curves, thereby realizing tightening quality defect warning, and effectively improving work efficiency while ensuring the reliability of the warning.

[0055] In order to achieve the above technical effects, the overall idea of ​​this application is as follows:

[0056] A method for analyzing and early warning of tightening quality defects, the method for analyzing and early warning of tightening quality defects comprises the steps of:

[0057] S1, collecting the torque and angle curve and the torque and time curve when tightening the point to be tightened;

[0058] S2, integrating and obtaining a real-time tightening curve based on the torque and angle curve and the torque and time curve;

[0059] S3. Based on the preset abnormal tightening curve model corresponding to the point to be tightened, the real-time tightening curve is identified, and a tightening quality defect warning is issued for the tightening work.

[0060] The embodiments of the present application are further described in detail below in conjunction with the accompanying drawings.

[0061] First, see Figures 1 to 5 As shown, an embodiment of the present application provides a method for analyzing and warning tightening quality defects, the method comprising the following steps:

[0062] S1, collecting the torque and angle curve and the torque and time curve when tightening the point to be tightened;

[0063] S2, integrating and obtaining a real-time tightening curve based on the torque and angle curve and the torque and time curve;

[0064] S3. Based on the preset abnormal tightening curve model corresponding to the point to be tightened, the real-time tightening curve is identified, and a tightening quality defect warning is issued for the tightening work.

[0065] In an embodiment of the present application, the obtained real-time tightening curve is compared with a tightening abnormality curve model obtained by replacement, which includes multiple tightening abnormality curves, so as to realize tightening quality defect warning, and effectively improve work efficiency while ensuring the reliability of warning.

[0066] Furthermore, the method also includes a tightening abnormal curve model construction process, and the tightening abnormal curve model construction process includes the following steps:

[0067] According to a plurality of different preset actual operation defects, tightening work is performed on a reference tightening point of the same model as the point to be tightened, and a torque-angle curve and a torque-time curve corresponding to each of the actual operation defects are obtained;

[0068] Based on the torque and angle curves and the torque and time curves corresponding to the actual operation defects, a real-time tightening curve corresponding to each actual operation defect is obtained by integration;

[0069] Based on the real-time tightening curves corresponding to the actual operation defects, the tightening abnormality curve model is constructed; wherein,

[0070] Each of the actual operation defects corresponds to an operation defect type.

[0071] Furthermore, the method also includes a tightening abnormal curve model construction process, and the tightening abnormal curve model construction process includes the following steps:

[0072] According to a plurality of different preset actual operation defects, tightening work is performed on reference tightening points of different models to obtain torque and angle curves and torque and time curves corresponding to each of the actual operation defects;

[0073] Based on the torque and angle curves and the torque and time curves corresponding to the actual operation defects corresponding to the reference tightening points of different models, the real-time tightening curves corresponding to the actual operation defects are obtained by integration;

[0074] The tightening abnormality curve model is constructed based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models.

[0075] Furthermore, based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models, the tightening abnormality curve model is constructed, including the following steps:

[0076] Based on the real-time tightening curve corresponding to the actual operation defect, the curve slope characteristics, curve fluctuation characteristics, and torque angle area characteristics are classified to construct the tightening abnormality curve model;

[0077] The tightening abnormality curve model includes real-time tightening curves corresponding to reference tightening points of different models corresponding to different actual operation defects; wherein,

[0078] Each of the actual operation defects corresponds to an operation defect type.

[0079] Furthermore, based on a preset abnormal tightening curve model corresponding to the point to be tightened, the real-time tightening curve is identified, and a tightening quality defect warning is performed on the tightening work, including the following steps:

[0080] When it is determined that there is a tightening quality defect, publishing the operation defect type corresponding to the real-time tightening curve;

[0081] When it is determined that there is no tightening quality defect, a tightening qualified prompt is issued.

[0082] It should be noted that in the embodiment of the present application, the key point data of the tightening curve are monitored and compared in real time during the tightening process, various tightening defects are matched and marked with the tightening curve one by one, the failure rates of different defects in the tightening process are statistically analyzed, and the tightening points of the corresponding positions are warned and improved.

[0083] The embodiment of the present application is used to analyze the defect failure rate of different tightening points and perform early warning improvements.

[0084] For a certain tightening point, the curves of tightening torque and angle, torque and time are continuously collected.

[0085] Identify abnormal tightening curves, classify and analyze them, and match the abnormal curves with actual operation defects one by one. Model the abnormal curves. In actual application, after the abnormal curves are collected, compare the abnormal curves with the models in the database and confirm the defect type. The system feeds back the defect type to the host computer or other equipment used to prompt the abnormality. At the same time, the background collects the defect type and frequency, displays various defect types and proportions in real time, conducts comparative analysis on the defect proportions, and warns and improves the abnormal prominent points.

[0086] In specific implementation, the present application can be based on a curve collection and analysis system, which includes a server, a database, collection software, analysis software, and a host computer. The server is used to install the database, collection software, and analysis software. The data collected by the collection software is stored in the database. The analysis software extracts data from the database for analysis. The analysis results are uploaded to the host computer of each workstation in real time to display the defect name or prompt qualified in real time.

[0087] Based on the above curve collection and analysis system, the analysis and early warning method of tightening quality defects is implemented, and the process is as follows:

[0088] According to the type of communication interface of the collected device, the host computer is connected to the collected device by hardware, and then the corresponding communication settings are made. After the communication connection is normal, the host computer writes a collection program according to the corresponding communication protocol to obtain the message of the collected device, and then parses the message and stores the parsed data.

[0089] At least 50 curves need to be collected for each tightening point of each key position of each vehicle model, and the curve data is screened. The screening method can use clustering algorithm to fit the normal curves screened out. The fitting method can use neural network or genetic algorithm. The fitted standard curve is stored in the analysis software as the standard curve model of a certain tightening point of a certain position of a certain vehicle model. See Table 1 below.

[0090] Model 1 Position 1 Tightening point 1 Standard curve 1 Model 1 Position 1 Tightening point 2 Standard curve 2 Model 2 Position 1 Tightening point 1 Standard curve 3 Model 2 Position 1 Tightening point 2 Standard curve 4

[0091] Table 1

[0092] Abnormal data curves of each tightening point are continuously collected, and the abnormal curves are classified and analyzed. The classification method can be based on the slope characteristics, fluctuation characteristics, area characteristics of torque and angle, etc. After the abnormal curves are classified, the curves are matched with the abnormal tightening phenomena one by one to confirm that the abnormal defects in the production process can accurately match the corresponding curves. The classified abnormal curves are fitted, and the fitted abnormal curves are stored as models in the analysis software, as shown in Table 2 below.

[0093] Sleeve out Model 1 Tightening stick-slip Model 2 Tighten the stripped thread Model 3 Parts misalignment Model 4 Tighten the impurities Model 5 Friction coefficient is unqualified Model 6

[0094] Table 2

[0095] The following types of defects may occur during actual operation: thread slippage during tightening, impurities stuck during tightening, unqualified friction coefficient, double eyelid interference, crooked bolts, crushed by connecting parts, repeated tightening, excessive pre-tightening torque, sleeve slippage, etc.

[0096] For the problem of thread slipping during tightening, the torque shows obvious signs of rising, but after rising to a certain stage, the torque does not rise to the target torque as time and angle increase. The tightening curve example is as follows, and the calculation method is: [(Tm-T0) / (Am-A0)]-[(Tn-T0) / (An-A0)] When the slope of the curve is negative, Tm is the torque value in the stage where the torque no longer rises, Am is the angle value at Tm, Tn is the torque value in the stage where the torque continues to rise, An is the angle value at Tn, T0 is the torque at the fitting point, and A0 is the angle when the torque is T0. The slope difference of the normal tightening curve after the fitting stage is almost 0. If the slope difference is negative, the system continuously collects the slope difference corresponding to Tm+1, Tm+2, Tm+3, Tm+4, Tm+5, Tm+6, ... Tm+n points. When the tightening angle value exceeds 720 degrees, it is judged that the tightening thread slipping problem has occurred.

[0097] For the problem of impurities stuck in parts, there will be a sharp increase in torque, and the final tightening angle will be significantly lower, and this trend may appear at any stage of tightening. However, the tightening curve records the rotation angle in any torque range. Directly read T0 to the target torque range, the angle rotation value, [(Tm-T0) / (Am-A0)]-[(Tn-T0) / (An-A0)] is less than 0, Tn is the torque value when the angle is An on the actual curve, and Tm is the torque value slope value when the angle is An on the standard curve. Due to the sharp increase in torque, the slope of the curve after fitting will be larger than the standard curve. Therefore, the abnormality can be inferred based on the slope difference. In addition, based on the fact that the final rotation angle after the fitting point is much lower than the rotation angle in the standard curve, it can be inferred that this fault is caused by impurities stuck in the thread.

[0098] In summary, a tightening quality defect analysis and early warning method is provided, which is used to analyze the defect failure rate of different tightening points and make pre-tightening improvements.

[0099] For a certain tightening point, the curves of tightening torque and angle, torque and time are continuously collected. After the curve data is exported, a standard curve is fitted. The key data required for tightening program optimization, such as fitting point torque, fitting angle, final torque, final angle, slope, etc., are extracted from the standard curve. The key point settings of the tightening program are optimized and the monitoring interval is reasonably set to improve the monitoring quality of the tightening process.

[0100] Abnormal curves are collected, classified and analyzed, and the abnormal curves are matched one by one with actual operation defects. The abnormal curves are modeled. In actual application, after the abnormal curves are collected, they are compared with the models in the database and the defect type is confirmed. The system feeds back the defect type to the host computer or other equipment used to prompt the abnormality. At the same time, the background collects the defect type and frequency, displays various defect types and proportions in real time, conducts comparative analysis on the defect proportions, and warns and improves the abnormal prominent points.

[0101] The torque method is generally used for tightening. When tightening with the torque method, the equipment can collect tightening curves of torque and time, torque and angle, time and speed, and time and angle, extract characteristic points from the curve for analysis, and map the curve to the defect type one by one, thereby reflecting the specific defect type in the actual operation process.

[0102] In summary, the technical advantages of the embodiments of the present application are:

[0103] Collect tightening point curves and fit standard curves to optimize tightening procedures, and issue alarms when tightening is abnormal to avoid quality problems.

[0104] Match and mark various tightening defects with tightening curves one by one, statistically analyze the failure rates of different defects in the tightening process, and issue early warnings and improvements to the tightening points at corresponding positions.

[0105] Second, see Figure 6 As shown, an embodiment of the present application provides a tightening quality defect analysis and early warning device, the device comprising:

[0106] A real-time monitoring module, which is used to collect torque and angle curves and torque and time curves when tightening the point to be tightened;

[0107] A curve integration module, which is used to integrate and obtain a real-time tightening curve based on the torque and angle curve and the torque and time curve;

[0108] The defect warning module is used to identify the real-time tightening curve based on a preset tightening abnormality curve model corresponding to the point to be tightened, and to provide a tightening quality defect warning for the tightening work.

[0109] In an embodiment of the present application, the obtained real-time tightening curve is compared with a tightening abnormality curve model obtained by replacement, which includes multiple tightening abnormality curves, so as to realize tightening quality defect warning, and effectively improve work efficiency while ensuring the reliability of warning.

[0110] Furthermore, the device also includes a model building module;

[0111] The model building module is used to obtain torque and angle curves and torque and time curves corresponding to each actual operation defect when tightening a reference tightening point of the same model as the point to be tightened according to a plurality of different preset actual operation defects;

[0112] The model building module is also used to integrate and obtain the real-time tightening curve corresponding to each actual operation defect based on the torque and angle curve and the torque and time curve corresponding to each actual operation defect;

[0113] The model building module is also used to build the tightening abnormality curve model based on the real-time tightening curve corresponding to each actual operation defect; wherein,

[0114] Each of the actual operation defects corresponds to an operation defect type.

[0115] Furthermore, the model building module is also used to obtain torque and angle curves and torque and time curves corresponding to various preset actual operation defects, and to perform tightening work on reference tightening points of different models;

[0116] The model building module is also used to integrate and obtain the real-time tightening curve corresponding to each actual operation defect based on the torque and angle curve and the torque and time curve corresponding to each actual operation defect corresponding to the reference tightening points of different models;

[0117] The model building module is also used to build the tightening abnormality curve model based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models.

[0118] Furthermore, the model building module is also used to classify the real-time tightening curve corresponding to the actual operation defect according to the curve slope characteristics, curve fluctuation characteristics, and torque angle area characteristics to build the tightening abnormality curve model;

[0119] The model building module is also used for the tightening abnormal curve model to include real-time tightening curves corresponding to reference tightening points of different models corresponding to different actual operation defects; wherein,

[0120] Each of the actual operation defects corresponds to an operation defect type.

[0121] Furthermore, the defect warning module is also used to publish the operation defect type corresponding to the real-time tightening curve when it is determined that there is a tightening quality defect;

[0122] The defect warning module is also used to issue a tightening qualified prompt when it is determined that there is no tightening quality defect.

[0123] It should be noted that the analysis and early warning device for tightening quality defects mentioned in the second aspect is similar to the technical principles of the analysis and early warning method for tightening quality defects mentioned in the first aspect in terms of technical issues, technical means and technical effects, and will not be elaborated here.

[0124] In the description of the present application, it should be noted that the terms "upper", "lower", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0125] It should be noted that, in this application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0126] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A method for analyzing and early warning of tightening quality defects, characterized in that: The method comprises the following steps: Collect the torque and angle curve and the torque and time curve when tightening the point to be tightened; Based on the torque and angle curve and the torque and time curve, integrating to obtain a real-time tightening curve; Based on a preset abnormal tightening curve model corresponding to the point to be tightened, the real-time tightening curve is identified, and a tightening quality defect warning is issued for the tightening work.

2. The method for analyzing and early warning of tightening quality defects according to claim 1, characterized in that: The method further includes a tightening abnormal curve model construction process, and the tightening abnormal curve model construction process includes the following steps: According to a plurality of different preset actual operation defects, tightening work is performed on a reference tightening point of the same model as the point to be tightened, and a torque-angle curve and a torque-time curve corresponding to each of the actual operation defects are obtained; Based on the torque and angle curves and the torque and time curves corresponding to the actual operation defects, a real-time tightening curve corresponding to each actual operation defect is obtained by integration; Based on the real-time tightening curves corresponding to the actual operation defects, the tightening abnormality curve model is constructed; wherein, Each of the actual operation defects corresponds to an operation defect type.

3. The method for analyzing and early warning of tightening quality defects according to claim 1, characterized in that: The method further includes a tightening abnormal curve model construction process, and the tightening abnormal curve model construction process includes the following steps: According to a plurality of different preset actual operation defects, tightening work is performed on reference tightening points of different models to obtain torque and angle curves and torque and time curves corresponding to each of the actual operation defects; Based on the torque and angle curves and the torque and time curves corresponding to the actual operation defects corresponding to the reference tightening points of different models, the real-time tightening curves corresponding to the actual operation defects are obtained by integration; The tightening abnormality curve model is constructed based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models.

4. The method for analyzing and early warning of tightening quality defects according to claim 3, characterized in that: Based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models, the tightening abnormality curve model is constructed, including the following steps: Based on the real-time tightening curve corresponding to the actual operation defect, the curve slope characteristics, curve fluctuation characteristics, and torque angle area characteristics are classified to construct the tightening abnormality curve model; The tightening abnormality curve model includes real-time tightening curves corresponding to reference tightening points of different models corresponding to different actual operation defects; wherein, Each of the actual operation defects corresponds to an operation defect type.

5. The method for analyzing and early warning of tightening quality defects according to claim 1, characterized in that: Based on a preset abnormal tightening curve model corresponding to the point to be tightened, the real-time tightening curve is identified, and a tightening quality defect warning is performed on the tightening work, including the following steps: When it is determined that there is a tightening quality defect, publishing the operation defect type corresponding to the real-time tightening curve; When it is determined that there is no tightening quality defect, a tightening qualified prompt is issued.

6. A tightening quality defect analysis and early warning device, characterized in that: The device comprises: A real-time monitoring module, which is used to collect the torque and angle curve and the torque and time curve when tightening the point to be tightened; A curve integration module, which is used to integrate and obtain a real-time tightening curve based on the torque and angle curve and the torque and time curve; The defect warning module is used to identify the real-time tightening curve based on a preset tightening abnormality curve model corresponding to the point to be tightened, and to provide a tightening quality defect warning for the tightening work.

7. The tightening quality defect analysis and early warning device according to claim 6, characterized in that: The device also includes a model building module; The model building module is used to obtain torque and angle curves and torque and time curves corresponding to each actual operation defect when tightening a reference tightening point of the same model as the point to be tightened according to a plurality of different preset actual operation defects; The model building module is also used to integrate and obtain the real-time tightening curve corresponding to each actual operation defect based on the torque and angle curve and the torque and time curve corresponding to each actual operation defect; The model building module is also used to build the tightening abnormality curve model based on the real-time tightening curve corresponding to each actual operation defect; wherein, Each of the actual operation defects corresponds to an operation defect type.

8. The tightening quality defect analysis and early warning device according to claim 6, characterized in that: The model building module is also used to obtain torque and angle curves and torque and time curves corresponding to various preset actual operation defects, by performing tightening work on reference tightening points of different models; The model building module is also used to integrate and obtain the real-time tightening curve corresponding to each actual operation defect based on the torque and angle curve and the torque and time curve corresponding to each actual operation defect corresponding to the reference tightening points of different models; The model building module is also used to build the tightening abnormality curve model based on the real-time tightening curves corresponding to the actual operation defects corresponding to the reference tightening points of different models.

9. The tightening quality defect analysis and early warning device according to claim 8, characterized in that: The model building module is also used to classify the real-time tightening curve corresponding to the actual operation defect according to the curve slope characteristics, curve fluctuation characteristics, and torque angle area characteristics to build the tightening abnormality curve model; The model building module is also used for the tightening abnormal curve model to include real-time tightening curves corresponding to reference tightening points of different models corresponding to different actual operation defects; wherein, Each of the actual operation defects corresponds to an operation defect type.

10. The tightening quality defect analysis and early warning device according to claim 6, characterized in that: The defect warning module is also used to publish the operation defect type corresponding to the real-time tightening curve when it is determined that there is a tightening quality defect; The defect warning module is also used to issue a tightening qualified prompt when it is determined that there is no tightening quality defect.

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