Fatigue life prediction method and system for infrared support structure

Abstract

The invention relates to a fatigue life prediction method and system for an infrared support structure, and relates to the technical field of fatigue life prediction, and the method comprises the steps: collecting a support installation position point, support specification parameters, a vehicle body model and vehicle body operation parameters; determining a vehicle type reference parameter and a vehicle type reference position point according to the vehicle body model; selecting a vehicle type selection position point, and determining the type of an installation interface; calculating an installation distance vector value; determining the initial life value of the bracket by combining the mounting interface type, the mounting distance vector value and the bracket specification parameter; analyzing operation deviation parameters; determining an operation deviation influence value according to the operation deviation parameter; and determining a support life adjustment value by combining the operation deviation influence value and the support initial life value, and outputting the support life adjustment value. The method has the effect of improving the accuracy of the structure fatigue life prediction result of the infrared support.

Description

Technical Field

[0001] This invention relates to the field of fatigue life prediction technology, and in particular to a method and system for predicting the fatigue life of an infrared support structure. Background Technology

[0002] Structural fatigue life refers to the number of load cycles or actual service time experienced by the entire structure or its components under long-term alternating loads and cyclic stresses under actual working conditions, from the time it is put into use until fatigue cracking, damage propagation, fatigue failure, and loss of function occur.

[0003] Infrared brackets are used to assemble and secure vehicle-mounted infrared sensors, ensuring their continuous and stable operation throughout the vehicle's lifespan. To guarantee the proper functioning of the infrared bracket during its service life, a three-dimensional model is typically created. Simplified constraints (windshield / rearview mirror fixation) and the weight of the infrared sensor are applied. Finite element analysis is then used to calculate the stress amplitude and stress concentration at locations such as the mounting holes, cantilever roots, bends, and clip positions. This allows for prediction of the structural fatigue life of the infrared bracket, determining whether cracks, fractures, or loosening will occur during its service life.

[0004] Because the bracket's installation method was set to a completely rigid fixed constraint when modeling the 3D model of the bracket, ignoring the actual situation of the bracket being installed on flexible / semi-rigid interfaces such as the rearview mirror base, windshield suction cup, and dashboard clips, there are large deviations in the bracket's constraint stiffness and stress transmission path, resulting in a large error in the predicted structural fatigue life of the infrared bracket. Summary of the Invention

[0005] To improve the accuracy of fatigue life prediction results for infrared bracket structures, this invention provides a method and system for predicting the fatigue life of infrared bracket structures.

[0006] In a first aspect, the present invention provides a method for predicting the fatigue life of an infrared support structure, employing the following technical solution: A method for predicting the fatigue life of an infrared support structure includes: Collect the mounting location of the infrared bracket, bracket specifications, vehicle model, and vehicle operating parameters; Determine the vehicle model's reference parameters and reference location points based on the vehicle body model; The nearest vehicle model reference point is selected based on the bracket installation location and used as the vehicle model selection location point. The installation interface type is then determined based on the vehicle model selection location point. Calculate the vector distance between the bracket installation location and the vehicle model selection location and use it as the installation distance vector value; The initial lifespan of the bracket is determined by combining the installation interface type, installation distance vector value, and bracket specification parameters. Analyze the deviation between the vehicle model's baseline parameters and the vehicle's operating parameters, and use this as the operating deviation parameter; Determine the impact value of the operating deviation based on the operating deviation parameters; The stent life adjustment value is determined by combining the influence value of the operating deviation with the initial life value of the stent, and the stent life adjustment value is output.

[0007] By adopting the above technical solution, data on the bracket installation location, bracket specifications, vehicle model, and vehicle operating parameters are collected. The vehicle model's reference location is used to determine the selected location and installation interface type. Installation deviations are quantified by calculating the installation distance vector value. The initial lifespan of the bracket is determined by combining the installation interface type, installation distance vector value, and bracket specifications. Then, operating deviation parameters are analyzed to determine the impact of operating deviations, ultimately yielding the bracket lifespan adjustment value. This allows for accurate prediction of the infrared bracket structure's fatigue life based on actual operating conditions and the interface and distance conditions of the installation location, thereby improving the accuracy of the infrared bracket's structural fatigue life prediction results.

[0008] Optionally, methods for determining the initial lifespan of a stent include: Retrieve the bracket size parameters and bracket material based on the bracket specifications; Determine the estimated lifespan of the support material based on its material; The dimensional reference parameters are determined by combining the installation distance vector value with the vehicle body model. The dimensional deviation parameters are determined by combining the bracket dimensional parameters with the dimensional reference parameters; Determine the size deviation coefficient based on the size deviation parameters; Determine the interface type influence coefficient based on the installation interface type; The product of the interface type influence coefficient, the size deviation coefficient, and the material's estimated lifespan is calculated and used as the initial lifespan value of the support.

[0009] By adopting the above technical solution, the bracket size parameters and bracket material are retrieved through the bracket specification parameters to determine the estimated life value of the material. The size reference parameters are determined by combining the installation distance vector value and the vehicle model. The size deviation coefficient is obtained through the size deviation parameter. At the same time, the interface type influence coefficient is determined according to the installation interface type. The initial life value of the bracket is obtained by multiplying. This realizes the quantitative calculation of the initial life under the coupling of multiple factors such as material, size and installation interface, so that the life prediction is more in line with the structural characteristics of the bracket itself.

[0010] Optionally, methods for determining dimensional reference parameters include: Determine the installation reference vector value and model reference parameters based on the vehicle body model; The vector deviation reference value is determined based on the installation reference vector value and the installation distance vector value; Determine the deviation reference range based on the installation reference vector value; Determine whether the vector deviation reference value falls within the deviation reference range; If so, the model deviation adjustment parameter is determined by combining the vector deviation reference value and the model reference parameter, and the model deviation adjustment parameter is used as the size reference parameter; If not, then the reference value for selecting the deviation is determined by combining the vector deviation reference value and the deviation benchmark reference range; The deviation selection adjustment parameters are determined by combining the deviation selection reference value and the model reference parameters, and the deviation selection adjustment parameters are used as the size reference parameters.

[0011] By adopting the above technical solution, the vector deviation reference value is determined by the installation reference vector value and the installation distance vector value. The vector deviation reference value is then compared with the deviation reference range. Depending on whether it falls within the range, the model deviation adjustment parameter or the deviation selection adjustment parameter is used as the size reference parameter. This achieves graded judgment and adaptive adjustment of vector deviation, improving the rationality and accuracy of the size reference parameter determination.

[0012] Optional methods for determining the vector deviation reference value include: Retrieve the installation reference distance value and installation reference direction based on the installation reference vector value; Retrieve the actual installation distance and actual installation direction based on the installation distance vector value; Analyze the angle between the installation reference direction and the actual installation direction and use it as the installation angle value; Determine whether the installation angle value is greater than the preset reference angle value; If yes, then calculate the difference between the installation angle value and the reference angle value and use it as the angle deviation value; Calculate the difference between the installation reference distance value and the actual installation distance value and use it as the installation distance deviation value; The distance deviation reference value is determined by combining the angle deviation value and the installation distance deviation value, and the distance deviation reference value is used as the vector deviation reference value; If not, calculate the ratio between the installation reference distance value and the actual installation distance value and use it as the installation distance ratio value; The distance ratio reference value is determined by combining the installation distance ratio value and the installation angle value, and the distance ratio reference value is used as the vector deviation reference value.

[0013] By adopting the above technical solution, distance and direction information are retrieved by the installation reference vector value and the installation distance vector value, respectively, and the installation angle value and the installation distance deviation value are calculated. Based on the judgment result of whether the installation angle value is greater than the preset reference angle value, the distance deviation reference value or the distance ratio reference value is determined as the vector deviation reference value, so as to realize the fine decomposition and quantification of the installation position vector deviation, and the impact of the installation deviation on the life can be accurately accounted for.

[0014] Optional methods for determining the deviation reference range include: Retrieve the installation reference distance value and installation reference direction based on the installation reference vector value; Determine the initial reference interval based on the installation reference distance value; Calculate the angle between the installation reference direction and the preset vehicle body reference direction and use it as the installation deviation angle value; Determine the deviation angle coefficient based on the vehicle body model; Calculate the product between the deviation angle coefficient and the installation deviation angle value, and use it as the deviation angle influence value; The reference adjustment range is determined by combining the influence value of the deviation angle with the initial range of the reference, and the reference adjustment range is used as the deviation reference range.

[0015] By adopting the above technical solution, the initial reference range is determined by the installation reference distance value, and the influence value of the deviation angle is determined by combining the installation deviation angle value and the deviation angle coefficient, thereby obtaining the deviation reference range. This realizes the dynamic range setting based on the vehicle body model and installation direction, making the vector deviation judgment more in line with the installation characteristics of different vehicle models.

[0016] Optionally, methods for determining the reference value for deviation selection include: The nearest value of the deviation reference interval is selected based on the vector deviation reference value and used as the adjacent value of the interval; Calculate the difference between the vector deviation reference value and the value at the nearest endpoint of the interval and use it as the interval deviation value; The interval span value is determined based on the deviation benchmark reference interval; Calculate the ratio between the interval deviation value and the interval span value, and use it as the deviation span ratio value; The coefficient is selected based on the deviation span ratio. Calculate the product between the nearest endpoint of the interval and the proportional selection coefficient, and use it as a reference value for deviation selection.

[0017] By adopting the above technical solution, the deviation range ratio is obtained by calculating the interval deviation value and combining it with the interval span value, thereby determining the ratio selection coefficient and calculating the deviation selection reference value. Even when the vector deviation exceeds the reference range, smooth and continuous deviation quantification can still be achieved, improving the robustness of the dimensional reference parameter calculation.

[0018] Optionally, the output bracket life adjustment value may also include: Collect vehicle environmental parameters; Determine environmental baseline parameters based on vehicle model; Analyze the deviation between the vehicle body environmental parameters and environmental reference parameters and use them as environmental deviation parameters; Determine the impact value of environmental deviation based on environmental deviation parameters; The stent life adjustment value is adjusted and updated based on the impact of environmental deviation.

[0019] By adopting the above technical solution, after outputting the bracket life adjustment value, the vehicle body environmental parameters are further collected. By comparing with the environmental benchmark parameters, the environmental deviation parameters and environmental deviation impact values ​​are obtained, and the bracket life adjustment value is updated and adjusted. This realizes the compensation for the impact of vehicle environmental factors on the fatigue life of the bracket, making the prediction results closer to the long-term use conditions of the actual vehicle.

[0020] Optional methods for determining the impact value of environmental deviation include: Retrieve environmental parameter type, environmental deviation value, and environmental deviation duration value based on environmental deviation parameters; Determine the parameter type coefficient and type benchmark range based on the environmental parameter type; Based on whether the environmental deviation value falls within the type benchmark range, determine the deviation type and the deviation excess type; The baseline value for the impact of the deviation is determined based on the type of deviation fall-in, combined with the corresponding environmental deviation value and the duration of the environmental deviation. Calculate the product between the deviation impact benchmark value and the parameter type coefficient, and use it as the deviation impact value; The impact value of the deviation excess is determined based on the type of deviation excess and in combination with the corresponding environmental deviation value and the duration of the environmental deviation. The comprehensive impact value of the deviation is determined by combining the baseline value of the deviation impact and the excess value of the deviation, and the comprehensive impact value of the deviation is used as the environmental deviation impact value.

[0021] By adopting the above technical solution, by retrieving the environmental parameter type, environmental deviation value, and environmental deviation duration, the deviation fall-in type and deviation excess type are distinguished, the deviation fall-in impact value and deviation excess impact value are calculated separately, and the combined environmental deviation impact value is obtained. This enables differentiated impact calculation for different environmental parameters and different deviation degrees, thereby improving the accuracy of the obtained environmental deviation impact value.

[0022] Optional methods for determining the comprehensive impact value of the deviation include: Retrieve the number of fall-in types based on the deviation fall-in type; Retrieve the number of excess types based on the deviation excess type; The percentage of cases that fall into the category is determined by combining the number of cases that fall into the category and the number of cases that fall into the excess category. The coefficient for selecting the proportion is determined based on the percentage of cases that fall into the water. The comprehensive impact value of the deviation is obtained by weighting the baseline value of the deviation impact and the excess value of the deviation based on the selected coefficient according to the proportion.

[0023] By adopting the above technical solution, the percentage of occurrence is determined by the number of occurrence types and the number of excess types, and then the percentage selection coefficient is determined. The comprehensive impact value of deviation is obtained by weighting the baseline value of deviation impact and the excess value of deviation. This achieves weighted fusion correction under multiple environmental factors, making the comprehensive impact assessment of the environment on fatigue life more balanced and accurate.

[0024] Secondly, this invention provides an infrared support structure fatigue life prediction system, which adopts the following technical solution: An infrared support structure fatigue life prediction system includes: The data acquisition module is used to collect data on the installation location of the infrared bracket, bracket specifications, vehicle model, vehicle operating parameters, and vehicle environmental parameters. The memory stores a program for implementing a fatigue life prediction method for an infrared support structure as described in any one of the first aspects; The processor loads and executes programs stored in memory.

[0025] In summary, the present invention has at least one of the following beneficial technical effects: 1. By collecting data on the bracket installation location, bracket specifications, vehicle model, and vehicle operating parameters, the vehicle model reference location is used to determine the selected location and installation interface type. The installation deviation is quantified by calculating the installation distance vector value. The initial life value of the bracket is determined by combining the installation interface type, installation distance vector value, and bracket specifications. Then, the operating deviation parameters are analyzed to determine the impact value of the operating deviation. Finally, the bracket life adjustment value is obtained. Based on the actual operating status and the interface and distance conditions of the installation location, the fatigue life of the infrared bracket structure can be accurately predicted, thereby improving the accuracy of the structural fatigue life prediction results of the infrared bracket. 2. By retrieving the bracket size parameters and bracket material through the bracket specification parameters, the estimated life value of the material is determined. The size reference parameters are determined by combining the installation distance vector value and the vehicle model. The size deviation coefficient is obtained through the size deviation parameters. At the same time, the interface type influence coefficient is determined according to the installation interface type. The initial life value of the bracket is obtained by multiplying. This realizes the quantitative calculation of the initial life under the coupling of multiple factors such as material, size and installation interface, so that the life prediction is more in line with the structural characteristics of the bracket itself. 3. After outputting the bracket life adjustment value, the vehicle body environmental parameters are further collected. By comparing them with the environmental benchmark parameters, the environmental deviation parameters and the environmental deviation impact values ​​are obtained. The bracket life adjustment value is then updated and adjusted, thus compensating for the impact of vehicle environmental factors on the fatigue life of the bracket and making the prediction results closer to the long-term use conditions of the actual vehicle. Attached Figure Description

[0026] Figure 1 This is a flowchart of a method for predicting the fatigue life of infrared support structures. Detailed Implementation

[0027] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0028] A method for predicting the fatigue life of an infrared bracket structure is disclosed. This method collects data on the bracket's installation location, specifications, vehicle model, vehicle operating parameters, and environmental parameters. By combining this data with vehicle model baseline parameters to determine the installation interface type and installation distance vector value, and then coupling material, size, and installation interface factors, an initial bracket life value is obtained. Next, the method determines the operational deviation impact value based on the deviation between the vehicle operating parameters and the vehicle model baseline parameters, and adjusts this to obtain an adjusted bracket life value. Furthermore, the method collects vehicle environmental parameters and, based on environmental deviations, determines the environmental deviation impact value, updating the life adjustment value. This allows for accurate prediction of the infrared bracket structure's fatigue life based on actual operating conditions and the interface and distance characteristics of the installation location, thereby improving the accuracy of the predicted fatigue life of the infrared bracket structure.

[0029] Reference Figure 1 This invention discloses a method for predicting the fatigue life of an infrared support structure, comprising: S100: Collects the mounting location of the infrared bracket, bracket specifications, vehicle model, and vehicle operating parameters.

[0030] The bracket installation location point refers to the specific spatial coordinates of the infrared bracket actually installed on the vehicle. The bracket installation location point can be obtained through pre-input by the operator or through vehicle positioning equipment (such as vehicle GPS or laser positioning device).

[0031] The specifications of the infrared bracket refer to its structural parameters, including dimensions and materials. These specifications are pre-entered by the operator after consulting the bracket design drawings and product manual.

[0032] The vehicle model number refers to the specific model number of the vehicle. The vehicle model number can be obtained by checking the vehicle registration certificate and the vehicle's onboard control system.

[0033] Vehicle operating parameters refer to relevant parameters during vehicle operation. These parameters are collected in real time by onboard sensors (such as vibration sensors and speed sensors). Vehicle operating parameters include vibration frequency, engine speed, and vehicle speed during driving.

[0034] S101: Determine the vehicle model reference parameters and reference location points based on the vehicle body model.

[0035] Among them, vehicle model reference parameters refer to the relevant reference standards during the normal operation of the corresponding vehicle model. Vehicle model reference position points refer to the standard spatial coordinate points preset for the corresponding vehicle model that are suitable for the installation of infrared brackets.

[0036] By inputting the vehicle model into a preset vehicle database, the vehicle's baseline parameters and location points are obtained for easy subsequent use.

[0037] The vehicle model database pre-stores a table showing the correspondence between different vehicle body models and their corresponding vehicle reference parameters and reference points. The vehicle model database is obtained through pre-input by the operator.

[0038] S102: Select the nearest vehicle model reference point based on the bracket installation location point and use it as the vehicle model selection location point, and determine the installation interface type based on the vehicle model selection location point.

[0039] Among them, the vehicle model selection point refers to selecting the point that is spatially closest to the bracket installation point from multiple vehicle model reference point points.

[0040] The installation interface type refers to the structural type of the vehicle body mounting part corresponding to the selected location point of the vehicle model, which is used to distinguish the connection form and rigidity characteristics of different mounting bases.

[0041] The distance between the bracket installation point and the vehicle model reference point is calculated, and the nearest vehicle model reference point is selected as the vehicle model selection point. The vehicle model selection point is then input into the preset vehicle model database to match the installation interface type, which facilitates subsequent use.

[0042] The vehicle database also pre-stores a table showing the reference locations of different vehicle models and their corresponding installation interface types.

[0043] S103: Calculate the vector distance between the bracket installation location and the vehicle model selection location and use it as the installation distance vector value.

[0044] The installation distance vector value refers to the vector distance between the bracket installation location and the vehicle model selection location.

[0045] Calculating the installation distance vector value facilitates subsequent use.

[0046] S104: Determine the initial lifespan of the bracket by combining the installation interface type, installation distance vector value, and bracket specification parameters.

[0047] The initial life value of the bracket refers to the basic fatigue life value predicted based on the installation position of the infrared bracket.

[0048] By combining and analyzing the installation interface type, installation distance vector value, and bracket specification parameters, the initial life value of the bracket can be determined to facilitate subsequent use.

[0049] S105: Analyze the deviation between the vehicle model's baseline parameters and the vehicle's operating parameters and use it as the operating deviation parameter.

[0050] Among them, the operating deviation parameter refers to the deviation parameter corresponding to the deviation between the vehicle model reference parameter and the vehicle body operating parameter.

[0051] By comparing the vehicle's baseline parameters with the vehicle's operating parameters item by item, calculating the differences between each item, and then combining them, the operating deviation parameters are obtained, which are convenient for subsequent use.

[0052] S106: Determine the impact value of the operating deviation based on the operating deviation parameters.

[0053] Among them, the operational deviation impact value refers to the value calculated based on the operational deviation parameters, which is used to quantify the degree of influence of the actual operational deviation of the vehicle on the fatigue life of the infrared bracket structure.

[0054] By extracting the deviation type, deviation magnitude, and deviation duration from the operational deviation parameters, and then matching them with a preset operational deviation influence coefficient table, the corresponding influence coefficient is obtained through table lookup or weighted calculation. Finally, the degree of operational deviation is combined with the influence coefficient to calculate the operational deviation influence value, which is convenient for subsequent use.

[0055] S107: Determine the stent life adjustment value by combining the influence value of the operating deviation with the initial life value of the stent, and output the stent life adjustment value.

[0056] Among them, the bracket life adjustment value refers to the fatigue life result of the infrared bracket structure that is more closely related to the actual working conditions after taking into account the impact of the actual operation deviation of the vehicle on the basis of the initial life value of the bracket.

[0057] By calculating the product between the impact value of operational deviation and the initial life value of the support, and outputting the calculation result as the support life adjustment value, the fatigue life of the infrared support structure is accurately predicted based on the actual operating status and the interface and distance conditions of the installation location, thereby improving the accuracy of the structural fatigue life prediction results of the infrared support.

[0058] To further ensure the rationality of the initial life value of the stent, it is necessary to perform a further separate analysis and calculation on the initial life value of the stent, which will be explained in detail through the steps shown below.

[0059] The method for determining the initial lifespan of a stent includes the following steps: S200: Retrieve bracket size parameters and bracket material based on bracket specification parameters.

[0060] The bracket size parameters refer to the geometric parameters of the infrared bracket, reflecting its size, shape, and structural characteristics. The bracket material refers to the type of material used to manufacture the infrared bracket. The bracket specifications include both the bracket size parameters and the bracket material.

[0061] The bracket's dimensions and material can be retrieved using the bracket specifications, making subsequent use easier.

[0062] S201: Determine the estimated lifespan of the material based on the support material.

[0063] Among them, the estimated life value of the material refers to the theoretical fatigue life value under standard working conditions, which is determined solely by the material of the support itself.

[0064] By inputting the bracket material into a preset material database, the estimated lifespan value of the material can be obtained for easy subsequent use.

[0065] The material database contains a pre-stored table of different support materials and their corresponding estimated lifespan values. The material database is retrieved after the operator pre-inputs the data.

[0066] S202: Determine the dimensional reference parameters by combining the installation distance vector value and the vehicle body model.

[0067] Among them, the dimensional reference parameters refer to the reference parameters used to judge whether the dimensions of the bracket meet the standards.

[0068] By combining the installation distance vector value with the vehicle body model for analysis, the dimensional reference parameters are determined to facilitate subsequent use.

[0069] S203: Determine the dimensional deviation parameters by combining the bracket dimensional parameters and the dimensional reference parameters.

[0070] Among them, the size deviation parameter refers to the quantified deviation result obtained by comparing the actual size parameters of the support with the standard size reference parameters.

[0071] By comparing the bracket's dimensional parameters with the dimensional reference parameters item by item, the differences between the corresponding dimensional items are calculated, and a comprehensive dimensional deviation parameter is formed to facilitate subsequent use.

[0072] S204: Determine the size deviation coefficient based on the size deviation parameter.

[0073] Among them, the size deviation coefficient refers to the correction coefficient that reflects the degree of influence of the support size deviation on the fatigue life of the structure.

[0074] The differences between various dimensional items are retrieved using the dimensional deviation parameter, and a weighted calculation is performed to obtain the dimensional deviation coefficient for subsequent use. The specific weights for the weighted calculation are preset by the operator according to actual needs.

[0075] S205: Determine the interface type influence coefficient based on the installation interface type.

[0076] Among them, the interface type influence coefficient is a correction coefficient used to reflect the degree of influence of different installation interface stiffness and constraint forms on the fatigue life of infrared bracket structures.

[0077] The interface type is entered into the interface type database to obtain the interface type influence coefficient, which facilitates subsequent use.

[0078] The interface type database pre-stores a table of different installation interface types and their corresponding influence coefficients. The interface type database is obtained after the operator pre-inputs the information.

[0079] S206: Calculate the product of the interface type influence coefficient, the size deviation coefficient, and the material estimated life value, and use it as the initial life value of the support.

[0080] Specifically, the accuracy of the obtained initial life value of the stent is improved by calculating the product of the interface type influence coefficient, the size deviation coefficient and the material estimated life value, and using the calculation result as the initial life value of the stent.

[0081] To further ensure the rationality of the dimensional reference parameters, it is necessary to perform further separate analysis and calculation on the dimensional reference parameters, which will be explained in detail through the steps shown below.

[0082] The method for determining dimensional datum parameters includes the following steps: S300: Determine the installation reference vector value and model reference parameters according to the vehicle body model.

[0083] The installation reference vector value refers to the reference vector parameter corresponding to the standard mounting position of the bracket, which is determined by the vehicle body model. The model reference parameter refers to the pre-set structural and operating condition reference parameters for the corresponding vehicle body model.

[0084] By inputting the vehicle model into a preset vehicle database, the installation reference vector value and model reference parameters are obtained for easy subsequent use.

[0085] The vehicle model database pre-stores a table of different vehicle body models and their corresponding installation reference vector values ​​and model reference parameters. The vehicle model database is obtained after the operator pre-inputs the data.

[0086] S301: Determine the vector deviation reference value based on the installation reference vector value and the installation distance vector value.

[0087] Among them, the vector deviation reference value refers to a quantitative parameter that comprehensively reflects the degree of difference between the installation reference vector value and the installation distance vector value.

[0088] By combining and analyzing the installation reference vector value and the installation distance vector value, a reference value for vector deviation can be determined to facilitate subsequent use.

[0089] S302: Determine the deviation reference range based on the installation reference vector value.

[0090] The deviation reference range refers to the standard range corresponding to the vector deviation reference value being within a reasonable range under normal circumstances.

[0091] By analyzing the installation reference vector values, the deviation reference range can be determined, which facilitates subsequent use.

[0092] S303: Determine whether the vector deviation reference value falls within the deviation reference range. If yes, proceed to S304; if no, proceed to S305.

[0093] Specifically, the ability to directly use the vector deviation reference value is determined by judging whether the vector deviation reference value falls within the deviation benchmark reference range.

[0094] S304: Combine the vector deviation reference value with the model reference parameter to determine the model deviation adjustment parameter, and use the model deviation adjustment parameter as the size reference parameter.

[0095] Among them, the model deviation adjustment parameter refers to the adjustment parameter corresponding to the model reference parameter after adjusting it according to the vector deviation reference value.

[0096] When the vector deviation reference value falls within the deviation reference range, it means that the vector deviation reference value can be used directly. Therefore, by multiplying the vector deviation reference value with the scalar in the model reference parameter, and combining the calculation result with the vector direction of the model reference parameter as the model deviation adjustment parameter, and then using the model deviation adjustment parameter as the size reference parameter, the accuracy of the obtained size reference parameter is improved.

[0097] S305: Determine the reference value for deviation selection by combining the vector deviation reference value and the deviation benchmark reference range.

[0098] Among them, the deviation selection reference value refers to the alternative reference value calculated by combining the out-of-bounds deviation value and the boundary characteristics of the interval when the vector deviation reference value exceeds the deviation benchmark reference interval.

[0099] When the vector deviation reference value does not fall within the deviation benchmark reference range, it means that the vector deviation reference value cannot be used directly. Therefore, the vector deviation reference value and the deviation benchmark reference range are analyzed together to determine the deviation selection reference value for convenient subsequent use.

[0100] S306: Combine the deviation selection reference value with the model reference parameter to determine the deviation selection adjustment parameter, and use the deviation selection adjustment parameter as the size reference parameter.

[0101] Among them, the deviation selection adjustment parameter refers to the adjustment parameter corresponding to the model reference parameter after adjusting it based on the deviation selection reference value.

[0102] By multiplying the deviation selection reference value with the scalar value in the model reference parameter, and combining the calculation result with the vector direction of the model reference parameter to use as the deviation selection adjustment parameter, and using the deviation selection adjustment parameter as the dimensional reference parameter, the accuracy of the obtained dimensional reference parameter is improved.

[0103] To further ensure the rationality of the vector deviation reference value, it is necessary to perform a further separate analysis and calculation on the vector deviation reference value, which will be explained in detail through the steps shown below.

[0104] The method for determining the vector deviation reference value includes the following steps: S400: Retrieves the installation reference distance value and installation reference direction based on the installation reference vector value.

[0105] The installation reference distance value refers to the distance component of the installation reference vector value that represents the standard installation position of the bracket relative to the vehicle body reference point. The installation reference direction refers to the direction component of the installation reference vector value that represents the standard installation position of the bracket relative to the vehicle body reference point.

[0106] The installation reference distance and direction can be retrieved by using the installation reference vector value, which facilitates subsequent use.

[0107] S401: Retrieve the actual installation distance and actual installation direction based on the installation distance vector value.

[0108] The actual installation distance value refers to the distance component extracted from the installation distance vector value, representing the actual installation position of the bracket relative to the vehicle body reference point. The actual installation direction refers to the direction component extracted from the installation distance vector value, representing the actual installation position of the bracket relative to the vehicle body reference point.

[0109] The installation distance vector value is used to retrieve the actual installation distance and actual installation direction for convenient subsequent use.

[0110] S402: Analyze the angle between the installation reference direction and the actual installation direction and use it as the installation angle value.

[0111] The installation angle value refers to the angle between the installation reference direction and the actual installation direction.

[0112] The angle between the installation reference direction and the actual installation direction is analyzed and calculated, and the calculation result is used as the installation angle value for convenient subsequent use.

[0113] S403: Determine whether the installation angle value is greater than the preset reference angle value. If yes, proceed to S404; if no, proceed to S407.

[0114] The reference angle value refers to the pre-set maximum angular threshold that allows for deviation in the bracket's installation direction. The reference angle value is obtained after being pre-input by the operator.

[0115] By judging whether the installation angle value is greater than the preset reference angle value, it can be determined whether the installation angle value can be directly used for reference calculation.

[0116] S404: Calculate the difference between the installation angle value and the reference angle value and use it as the angle deviation value.

[0117] The angular deviation value refers to the difference between the installation angle value and the reference angle value.

[0118] When the installation angle value is greater than the preset reference angle value, it means that the installation angle value cannot be directly used for reference calculation. Therefore, the angle deviation value is calculated for convenient subsequent use.

[0119] S405: Calculate the difference between the installation reference distance value and the actual installation distance value and use it as the installation distance deviation value.

[0120] The installation distance deviation value refers to the difference between the installation reference distance value and the actual installation distance value.

[0121] Calculating the installation distance deviation value facilitates subsequent use.

[0122] S406: Combine the angle deviation value and the installation distance deviation value to determine the distance deviation reference value, and use the distance deviation reference value as the vector deviation reference value.

[0123] Among them, the distance deviation reference value refers to the quantitative value obtained by combining the angle deviation and the distance deviation, which is used to characterize the degree of deviation of the installation position as a whole.

[0124] By weighting the angular deviation value and the installation distance deviation value, a distance deviation reference value is obtained. This reference value is then used as the vector deviation reference value, thereby improving the accuracy of the obtained vector deviation reference value. The weights for the weighting calculation are obtained after pre-input by the operator.

[0125] S407: Calculate the ratio between the installation reference distance value and the actual installation distance value and use it as the installation distance ratio value.

[0126] The installation distance ratio refers to the ratio between the installation reference distance and the actual installation distance.

[0127] When the installation angle value is not greater than the preset reference angle value, it means that the installation angle value can be directly used for reference calculation. Therefore, the installation distance ratio value is calculated for convenient use later.

[0128] S408: Determine the distance ratio reference value by combining the installation distance ratio value and the installation angle value, and use the distance ratio reference value as the vector deviation reference value.

[0129] Among them, the distance ratio reference value refers to the quantitative value obtained by combining the installation angle value and the distance ratio, which is used to characterize the degree of deviation of the installation position as a whole.

[0130] By weighting the installation distance ratio and installation angle values, a distance ratio reference value is obtained, which is then used as a vector deviation reference value, thereby improving the accuracy of the obtained vector deviation reference value. The weights for the weighting calculation are obtained after pre-input by the operator.

[0131] To further ensure the rationality of the deviation benchmark reference range, it is necessary to perform further separate analysis and calculation on the deviation benchmark reference range, which will be explained in detail through the steps shown below.

[0132] The method for determining the deviation reference range includes the following steps: S500: Retrieves the installation reference distance value and installation reference direction based on the installation reference vector value.

[0133] S501: Determine the initial reference interval based on the installation reference distance value.

[0134] The initial reference range refers to the original allowable deviation range that is pre-set based on the installation reference distance value and has not undergone angular deviation correction.

[0135] By using the installation reference distance as a benchmark, and calculating according to the preset upper and lower limit coefficients, the calculation results are used as the two end values ​​of the interval, thereby generating the initial reference interval for convenient subsequent use.

[0136] S502: Calculate the angle between the installation reference direction and the preset vehicle body reference direction and use it as the installation deviation angle value.

[0137] The vehicle body reference direction refers to the orientation along the length of the vehicle body at its midpoint width. The installation deviation angle value refers to the angle between the installation reference direction and the preset vehicle body reference direction.

[0138] Calculating the installation deviation angle value facilitates subsequent use.

[0139] S503: Determine the deviation angle coefficient based on the vehicle body model.

[0140] Among them, the deviation angle coefficient refers to the correction coefficient determined by the vehicle body model, which is used to correct the degree of influence of the installation angle deviation on the dimensional reference.

[0141] By inputting the vehicle model into a preset vehicle database, the deviation angle coefficient is obtained for easy subsequent use.

[0142] The vehicle model database pre-stores a table showing the different vehicle body models and their corresponding deviation angle coefficients.

[0143] S504: Calculate the product between the deviation angle coefficient and the installation deviation angle value and use it as the deviation angle influence value.

[0144] Among them, the deviation angle influence value refers to the value that reflects the actual influence of the installation deviation angle on the reference range after being corrected by the vehicle model coefficient.

[0145] The product of the deviation angle coefficient and the installation deviation angle value is calculated, and the calculation result is used as the deviation angle influence value for convenient subsequent use.

[0146] S505: Combine the influence value of the deviation angle with the initial range of the reference to determine the reference adjustment range, and use the reference adjustment range as the deviation reference range.

[0147] The reference adjustment range refers to the allowable deviation range after adjusting the initial reference range.

[0148] By retrieving the two endpoints of the initial reference interval, and then calculating the product between the two endpoints and the deviation angle influence value, and using this product as the endpoint of the reference adjustment interval, the reference adjustment interval is obtained. This reference adjustment interval is then used as the deviation reference interval, thus improving the accuracy of the obtained deviation reference interval.

[0149] To further ensure the rationality of the selected reference value for deviation, it is necessary to perform a further separate analysis and calculation on the selected reference value for deviation, which will be explained in detail through the steps shown below.

[0150] The method for determining the reference value for deviation includes the following steps: S600: Select the nearest value of the deviation reference interval based on the vector deviation reference value and use it as the adjacent value of the interval.

[0151] Among them, the nearest endpoint of the interval refers to the endpoint in the deviation reference interval that is closest to the vector deviation reference value.

[0152] By retrieving the two endpoints of the deviation reference interval and calculating the difference between them and the vector deviation reference value, the endpoint corresponding to the smaller difference is selected as the adjacent endpoint of the interval for convenient subsequent use.

[0153] S601: Calculate the difference between the vector deviation reference value and the adjacent end value of the interval and use it as the interval deviation value.

[0154] The interval deviation value refers to the difference between the vector deviation reference value and the adjacent end value of the interval.

[0155] Calculating the interval deviation value facilitates subsequent use.

[0156] S602: Determine the interval span value based on the deviation benchmark reference interval.

[0157] The interval span value refers to the distance between the two endpoints of the deviation reference interval.

[0158] The difference between the two endpoints of the deviation reference interval is calculated, and the result is used as the interval span value for convenient subsequent use.

[0159] S603: Calculate the ratio between the interval deviation value and the interval span value and use it as the deviation span ratio value.

[0160] Among them, the deviation span ratio value refers to the ratio between the interval deviation value and the interval span value.

[0161] The deviation span ratio is calculated to facilitate subsequent use.

[0162] S604: Determine the coefficient for the proportion based on the deviation span ratio.

[0163] Among them, the ratio selection coefficient refers to the coefficient selected based on the deviation span ratio value to adjust the adjacent end values ​​of the interval.

[0164] By inputting the deviation span ratio value into a preset ratio range database, the ratio selection coefficient is obtained for easy subsequent use.

[0165] The proportion range database pre-stores a table that compares different deviation span proportion values ​​with their corresponding proportion selection coefficients. The closer the deviation span proportion value is to 1, the larger the proportion selection coefficient is.

[0166] S605: Calculate the product between the nearest endpoint of the interval and the proportional selection coefficient, and use it as a reference value for deviation selection.

[0167] Specifically, by calculating the product between the adjacent endpoints of the interval and the proportional selection coefficient, and using the calculation result as the deviation selection reference value, the accuracy of the obtained deviation selection reference value is improved.

[0168] To further ensure the rationality of the output bracket life adjustment value, it is necessary to perform a further separate analysis and calculation on the output bracket life adjustment value, which will be explained in detail through the following steps.

[0169] After adjusting the output bracket lifespan, the following steps are also included: S700: Collects vehicle body environmental parameters.

[0170] Among them, vehicle body environmental parameters refer to environmental parameters related to the location of the vehicle's installation parts. Vehicle body environmental parameters include temperature and humidity parameters, which are detected and obtained through temperature and humidity sensors pre-installed on the vehicle body.

[0171] S701: Determine environmental baseline parameters based on vehicle body model.

[0172] Among them, the environmental reference parameters refer to the installation environment reference values ​​of the vehicle model under standard design conditions, which are determined by the vehicle model.

[0173] By inputting the vehicle model into a preset vehicle database, environmental baseline parameters are obtained for easy subsequent use.

[0174] The vehicle model database pre-stores a table showing the correspondence between different vehicle body models and their corresponding environmental baseline parameters.

[0175] S702: Analyze the deviation between the vehicle body environmental parameters and the environmental reference parameters and use them as environmental deviation parameters.

[0176] Among them, the environmental deviation parameter refers to the deviation parameter corresponding to the deviation between the vehicle body environmental parameters and the environmental reference parameters.

[0177] By comparing the vehicle's environmental parameters with the environmental baseline parameters item by item, calculating the difference, and then combining the calculation results, the environmental deviation parameters are obtained for convenient subsequent use.

[0178] S703: Determine the environmental deviation impact value based on the environmental deviation parameters.

[0179] Among them, the environmental deviation impact value refers to the comprehensive impact of environmental deviation on lifespan.

[0180] By analyzing environmental deviation parameters, the impact value of environmental deviation can be determined, which facilitates subsequent use.

[0181] S704: Adjust and update the stent life adjustment value based on the environmental deviation impact value.

[0182] Specifically, the accuracy of the obtained stent life adjustment value is improved by calculating the product between the environmental deviation impact value and the stent life adjustment value, and then using the calculation result to replace and update the stent life adjustment value.

[0183] To further ensure the rationality of the environmental deviation impact value, it is necessary to conduct a further separate analysis and calculation of the environmental deviation impact value, which will be explained in detail through the steps shown below.

[0184] The method for determining the impact value of environmental deviation includes the following steps: S800: Retrieves environmental parameter type, environmental deviation value, and environmental deviation duration value based on environmental deviation parameters.

[0185] Among them, environmental parameter type refers to the category identifier extracted from environmental deviation parameters to distinguish different environmental influencing factors, such as temperature deviation and humidity deviation. Environmental deviation value is a quantitative value characterizing the degree of deviation of the actual environmental parameter from the benchmark environmental parameter. Environmental deviation duration value refers to the duration for which the environmental deviation persists. Environmental deviation parameters include environmental parameter type, environmental deviation value, and environmental deviation duration value.

[0186] The environmental deviation parameter allows you to retrieve the environmental parameter type, environmental deviation value, and environmental deviation duration value for convenient subsequent use.

[0187] S801: Determine the parameter type coefficient and type reference range based on the environmental parameter type.

[0188] Among them, the parameter type coefficient refers to a coefficient set according to the type of environmental parameter to correct the degree of influence of such environmental deviation on installation and structure. The type reference range refers to a standard range preset for different types of environmental parameters, allowing for fluctuations in environmental deviation.

[0189] By inputting the environmental parameter type into the preset environmental type database, the parameter type coefficient and type benchmark range are obtained for easy subsequent use.

[0190] The environment type database pre-stores a lookup table of different environment parameter types, their corresponding parameter type coefficients, and type benchmark intervals. The environment type database is obtained after the operator pre-inputs the data.

[0191] S802: Determine the deviation type and deviation excess type based on whether the environmental deviation value falls within the type benchmark range.

[0192] Among them, "deviation fall-in type" refers to the type corresponding to when the environmental deviation value falls within the type benchmark range. "deviation exceedance type" refers to the type corresponding to when the environmental deviation value does not fall within the type benchmark range.

[0193] By analyzing whether environmental deviation values ​​fall within the type benchmark range, the deviation falling within the range and the deviation exceeding the limit types are determined respectively, which facilitates subsequent use.

[0194] S803: Determine the baseline value of the deviation impact based on the deviation fall-in type and in combination with the corresponding environmental deviation value and environmental deviation duration value.

[0195] Among them, the baseline value of deviation impact refers to the basic environmental impact quantification value obtained by combining the magnitude and duration of the deviation under the deviation fall type.

[0196] When a deviation is determined to be of the "fall-in" type, a preset fall-in coefficient is used to weight the environmental deviation value and the duration of the environmental deviation. The calculation result serves as the baseline value for the deviation's impact, facilitating subsequent use. The fall-in coefficient is preset by the operator according to actual needs.

[0197] S804: Calculate the product between the deviation influence benchmark value and the parameter type coefficient and use it as the deviation fall-in influence value.

[0198] Among them, the deviation fall-in impact value refers to the final quantitative value of the impact generated under the deviation fall-in type.

[0199] The product of the deviation impact benchmark value and the parameter type coefficient is calculated, and the calculation result is used as the deviation impact value for convenient subsequent use.

[0200] S805: Determine the impact value of the deviation excess based on the deviation excess type, combined with the corresponding environmental deviation value and the duration of the environmental deviation.

[0201] Among them, the deviation excess impact value refers to the basic environmental impact quantification value obtained by combining the magnitude and duration of the deviation under the deviation excess type.

[0202] When an environmental deviation is determined to be excessive, a preset excess coefficient is used to weight the environmental deviation value and the duration of the environmental deviation. The calculation result serves as the baseline value for the deviation's impact, facilitating subsequent use. The excess coefficient is preset by the operator according to actual needs.

[0203] S806: Combine the baseline value of the deviation impact with the excess value of the deviation to determine the comprehensive impact value of the deviation, and use the comprehensive impact value of the deviation as the environmental deviation impact value.

[0204] Among them, the comprehensive impact value of deviation refers to the total environmental deviation impact obtained after combining the baseline impact and the excess impact.

[0205] By combining the baseline value of the deviation impact with the excess value of the deviation, the comprehensive impact value of the deviation is determined, and this comprehensive impact value is used as the environmental deviation impact value, thereby improving the accuracy of the obtained environmental deviation impact value.

[0206] To further ensure the rationality of the comprehensive impact value of the deviation, it is necessary to conduct a further separate analysis and calculation of the comprehensive impact value of the deviation, which will be explained in detail through the steps shown below.

[0207] The method for determining the comprehensive impact value of deviation includes the following steps: S900: Retrieves the number of fall-in types based on the deviation fall-in type.

[0208] The number of types of deviations refers to the numerical value corresponding to each deviation type.

[0209] By counting the types of deviations that fall into the error, and using the count results as the number of types, it is convenient to use them later.

[0210] S901: Retrieve the number of excess types based on the deviation excess type.

[0211] The number of excess types refers to the numerical value corresponding to each deviation excess type.

[0212] By counting the number of excess types and using the count result as the number of excess types, it is convenient to use in the future.

[0213] S902: Determine the percentage of cases by combining the number of cases that fall into the category and the number of cases that exceed the limit.

[0214] The "fall-in percentage" refers to the ratio between the number of fall-in types and the total number of fall-in types.

[0215] The sum of the number of types that fall into the category and the number of excess types is calculated, and the result is used as the total number of types. Then, the ratio between the number of types that fall into the category and the total number of types is calculated and used as the percentage of types that fall into the category, which is convenient for subsequent use.

[0216] S903: Determine the percentage selection coefficient based on the percentage of falling in.

[0217] Among them, the proportion selection coefficient refers to the weighting coefficient selected based on the proportion value to be included in the weighted calculation.

[0218] The larger the percentage of deviation, the greater the percentage selection coefficient corresponding to the influence of the deviation on the benchmark value. The percentage selection coefficient is obtained by inputting the percentage of deviation into a preset percentage database for easy subsequent use.

[0219] The percentage database has a pre-stored table of different percentage values ​​and their corresponding percentage selection coefficients. The percentage database is obtained after the operator pre-inputs the values.

[0220] S904: Based on the proportion, the baseline value of the deviation impact and the excess value of the deviation are weighted and calculated to obtain the comprehensive impact value of the deviation.

[0221] Specifically, by using a proportion selection coefficient to weight the deviation impact benchmark value and the deviation excess impact value, and using the calculation result as the deviation comprehensive impact value, the accuracy of the obtained deviation comprehensive impact value is improved.

[0222] Based on the same inventive concept, embodiments of the present invention provide an infrared support structure fatigue life prediction system, comprising: The data acquisition module is used to collect data on the installation location of the infrared bracket, bracket specifications, vehicle model, vehicle operating parameters, and vehicle environmental parameters. The memory stores a program for implementing a fatigue life prediction method for an infrared support structure as described above. The processor loads and executes programs stored in memory.

[0223] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0224] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for predicting the fatigue life of an infrared support structure, characterized in that, include: Collect the mounting location of the infrared bracket, bracket specifications, vehicle model, and vehicle operating parameters; Determine the vehicle model's reference parameters and reference location points based on the vehicle body model; The nearest vehicle model reference point is selected based on the bracket installation location and used as the vehicle model selection location point. The installation interface type is then determined based on the vehicle model selection location point. Calculate the vector distance between the bracket installation location and the vehicle model selection location and use it as the installation distance vector value; The initial lifespan of the bracket is determined by combining the installation interface type, installation distance vector value, and bracket specification parameters. Analyze the deviation between the vehicle model's baseline parameters and the vehicle's operating parameters, and use this as the operating deviation parameter; Determine the impact value of the operating deviation based on the operating deviation parameters; The stent life adjustment value is determined by combining the influence value of the operating deviation with the initial life value of the stent, and the stent life adjustment value is output.

2. The method for predicting the fatigue life of an infrared support structure according to claim 1, characterized in that, Methods for determining the initial lifespan of a stent include: Retrieve the bracket size parameters and bracket material based on the bracket specifications; Determine the estimated lifespan of the support material based on its material; The dimensional reference parameters are determined by combining the installation distance vector value with the vehicle body model. The dimensional deviation parameters are determined by combining the bracket dimensional parameters with the dimensional reference parameters; Determine the size deviation coefficient based on the size deviation parameters; Determine the interface type influence coefficient based on the installation interface type; The product of the interface type influence coefficient, the size deviation coefficient, and the material's estimated lifespan is calculated and used as the initial lifespan value of the support.

3. The method for predicting the fatigue life of an infrared support structure according to claim 2, characterized in that, Methods for determining dimensional datum parameters include: Determine the installation reference vector value and model reference parameters based on the vehicle body model; The vector deviation reference value is determined based on the installation reference vector value and the installation distance vector value; Determine the deviation reference range based on the installation reference vector value; Determine whether the vector deviation reference value falls within the deviation reference range; If so, the model deviation adjustment parameter is determined by combining the vector deviation reference value and the model reference parameter, and the model deviation adjustment parameter is used as the size reference parameter; If not, then the reference value for selecting the deviation is determined by combining the vector deviation reference value and the deviation benchmark reference range; The deviation selection adjustment parameters are determined by combining the deviation selection reference value and the model reference parameters, and the deviation selection adjustment parameters are used as the size reference parameters.

4. The method for predicting the fatigue life of an infrared support structure according to claim 3, characterized in that, Methods for determining vector deviation reference values ​​include: Retrieve the installation reference distance value and installation reference direction based on the installation reference vector value; Retrieve the actual installation distance and actual installation direction based on the installation distance vector value; Analyze the angle between the installation reference direction and the actual installation direction and use it as the installation angle value; Determine whether the installation angle value is greater than the preset reference angle value; If yes, then calculate the difference between the installation angle value and the reference angle value and use it as the angle deviation value; Calculate the difference between the installation reference distance value and the actual installation distance value and use it as the installation distance deviation value; The distance deviation reference value is determined by combining the angle deviation value and the installation distance deviation value, and the distance deviation reference value is used as the vector deviation reference value; If not, calculate the ratio between the installation reference distance value and the actual installation distance value and use it as the installation distance ratio value; The distance ratio reference value is determined by combining the installation distance ratio value and the installation angle value, and the distance ratio reference value is used as the vector deviation reference value.

5. The method for predicting the fatigue life of an infrared support structure according to claim 4, characterized in that, Methods for determining the deviation reference range include: Retrieve the installation reference distance value and installation reference direction based on the installation reference vector value; Determine the initial reference interval based on the installation reference distance value; Calculate the angle between the installation reference direction and the preset vehicle body reference direction and use it as the installation deviation angle value; Determine the deviation angle coefficient based on the vehicle body model; Calculate the product between the deviation angle coefficient and the installation deviation angle value, and use it as the deviation angle influence value; The reference adjustment range is determined by combining the influence value of the deviation angle with the initial range of the reference, and the reference adjustment range is used as the deviation reference range.

6. The method for predicting the fatigue life of an infrared support structure according to claim 3, characterized in that, The methods for determining the reference value for deviation selection include: The nearest value of the deviation reference interval is selected based on the vector deviation reference value and used as the adjacent value of the interval; Calculate the difference between the vector deviation reference value and the value at the nearest endpoint of the interval and use it as the interval deviation value; The interval span value is determined based on the deviation benchmark reference interval; Calculate the ratio between the interval deviation value and the interval span value, and use it as the deviation span ratio value; The coefficient is selected based on the deviation span ratio. Calculate the product between the nearest endpoint of the interval and the proportional selection coefficient, and use it as a reference value for deviation selection.

7. The method for predicting the fatigue life of an infrared support structure according to claim 1, characterized in that, The output bracket life adjustment value also includes: Collect vehicle environmental parameters; Determine environmental baseline parameters based on vehicle model; Analyze the deviation between the vehicle body environmental parameters and environmental reference parameters and use them as environmental deviation parameters; Determine the impact value of environmental deviation based on environmental deviation parameters; The stent life adjustment value is adjusted and updated based on the impact of environmental deviation.

8. The method for predicting the fatigue life of an infrared support structure according to claim 7, characterized in that, Methods for determining the impact value of environmental deviation include: Retrieve environmental parameter type, environmental deviation value, and environmental deviation duration value based on environmental deviation parameters; Determine the parameter type coefficient and type benchmark range based on the environmental parameter type; Based on whether the environmental deviation value falls within the type benchmark range, determine the deviation type and the deviation excess type; The baseline value of the deviation impact is determined based on the type of deviation fall-in, combined with the corresponding environmental deviation value and the duration of the environmental deviation. Calculate the product between the deviation impact benchmark value and the parameter type coefficient, and use it as the deviation impact value; The impact value of the deviation excess is determined based on the type of deviation excess and in combination with the corresponding environmental deviation value and the duration of the environmental deviation. The comprehensive impact value of the deviation is determined by combining the baseline value of the deviation impact and the excess value of the deviation, and the comprehensive impact value of the deviation is used as the environmental deviation impact value.

9. The method for predicting the fatigue life of an infrared support structure according to claim 8, characterized in that, The methods for determining the comprehensive impact value of deviation include: Retrieve the number of fall-in types based on the deviation fall-in type; Retrieve the number of excess types based on the deviation excess type; The percentage of cases that fall into the category is determined by combining the number of cases that fall into the category and the number of cases that fall into the excess category. The percentage selection coefficient is determined based on the percentage of cases that fall into the water. The comprehensive impact value of the deviation is obtained by weighting the baseline value of the deviation impact and the excess value of the deviation based on the selected coefficient according to the proportion.

10. An infrared support structure fatigue life prediction system, characterized in that, include: The data acquisition module is used to collect data on the installation location of the infrared bracket, bracket specifications, vehicle model, vehicle operating parameters, and vehicle environmental parameters. The memory stores a program for implementing the method for predicting the fatigue life of an infrared support structure as described in any one of claims 1 to 9; The processor loads and executes programs stored in memory.

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