CN114088423A - Durability test system of seat regulator - Google Patents
Durability test system of seat regulator Download PDFInfo
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Abstract
The invention relates to the technical field of endurance detection, which is used for solving the problem that the existing endurance test system of a seat adjuster cannot be combined with actual use conditions for test analysis, in particular to an endurance test system of the seat adjuster, which comprises a test platform, wherein the test platform is in communication connection with a state detection module, a user analysis module and a comprehensive analysis module, the state detection module is used for detecting and analyzing the working state of the seat adjuster and obtaining a state representation value ZB, a weight analysis unit is used for analyzing and detecting the weight of a user and obtaining a pressure representation value YB, and a frequency analysis unit is used for analyzing and detecting the use frequency of the seat adjuster and obtaining a frequency representation value PB; the invention can detect and analyze the use state of the seat adjuster after leaving the factory through the state detection module, thereby reflecting the actual use state of the seat adjuster and improving the accuracy of the durability detection result.
Description
Technical Field
The invention relates to the technical field of durability detection, in particular to a durability testing system of a seat adjuster.
Background
With the development of the automobile industry, the requirements of people on the comfort degree, the bearing strength, the process structure and the product quality of the automobile seat are higher and higher, and meanwhile, the requirements on the production quality and the durability of the automobile seat regulator are also higher and higher;
however, the existing durability test system for the seat adjuster can only perform durability test by combining the use data when the seat adjuster is scrapped, but the service life of the seat adjuster is usually longer, so that a durability test means for the seat adjuster is lacked in the development test stage; in addition, the mode of experimental simulation can only be used for simulating data and parameters, and cannot be used for mechanical detection and analysis in combination with the actual use conditions of the automobile and the seat adjuster, so that the deviation of the result obtained by experimental simulation from the actual conditions is large, and the durability of the seat adjuster after delivery cannot be reflected actually;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide a durability test system of a seat adjuster, aiming at solving the problem that the existing durability test system of the seat adjuster cannot be combined with the actual use condition for test analysis.
The purpose of the invention can be realized by the following technical scheme:
a durability test system of a seat adjuster comprises a test platform, wherein the test platform is in communication connection with a state detection module, a user analysis module, a comprehensive analysis module and a test module;
the state detection module is used for detecting and analyzing the working state of the seat adjuster and obtaining a state representation value ZB;
the user analysis module comprises a weight analysis unit and a frequency analysis unit;
the weight analysis unit is used for analyzing and detecting the weight of the user and obtaining a current pressure value YB;
the frequency analysis unit is used for analyzing and detecting the use frequency of the seat adjuster and obtaining a frequency table representative value PB;
the comprehensive analysis module is used for carrying out durability analysis through the state representation value ZB, the pressure representation value YB and the frequency representation value PB: obtaining an influence coefficient YX through a formula YX = beta 1 xYB + beta 2 xPB, wherein beta 1 and beta 2 are proportional coefficients, and 1 > beta 2 > beta 1 > 0; establishing a rectangular coordinate system by taking time as an X axis and a state representation value as a Y axis, selecting a starting point in the rectangular coordinate system, marking the horizontal coordinate of the starting point as zero and the vertical coordinate as a state representation value ZB of a detection period, taking the starting point as an end point, making a ray by taking the numerical value of an influence coefficient YX as a slope in a first quadrant of the rectangular coordinate system, marking the obtained ray as a durable ray, obtaining a state representation threshold value ZBmax, selecting a reference point in the rectangular coordinate system, marking the horizontal coordinate of the reference point as zero and the vertical coordinate as the state representation threshold value ZBmax, taking the reference point as the end point, making a ray parallel to the X axis in the first quadrant of the rectangular coordinate system, marking the obtained ray as a reference ray, marking the intersection point of the reference ray and the durable ray as a scrapped point, obtaining the horizontal coordinate of the scrapped point and marking as scrapped time, marking the difference value of the scrapped time and factory time as durable time, and the comprehensive analysis module sends the endurance time to the test platform.
As a preferred embodiment of the present invention, the specific process of detecting and analyzing the operating state of the seat adjuster by the state detection module includes: dividing a detection period into detection periods i, i =1, 2, …, n, n is a positive integer, the duration of each detection period i is L1 days, L1 is a constant number, obtaining a noise value generated when the seat adjuster is used in the detection period i and marking the noise value as ZSi, obtaining the number of times of inching generated when the seat adjuster is used in the detection period i and marking the number as KDi, and obtaining a state coefficient ZTi of the detection period i through a formula ZTi = alpha 1 xZSi + alpha 2 x KDi, wherein alpha 1 and alpha 2 are proportional coefficients, and alpha 1 is more than alpha 2 and more than 0.
As a preferred embodiment of the present invention, the acquiring process of the state representation value includes: comparing the state coefficients ZTi of the detection period i with a state threshold value ZTmax one by one:
if the state coefficient ZTi is less than or equal to the state threshold ZTmax, marking the corresponding detection time interval i as a normal time interval; if the state coefficient ZTi is greater than the state threshold value ZTmax, marking the corresponding detection time interval i as an abnormal time interval;
and acquiring all abnormal time periods, summing the state coefficients of the abnormal time periods, and averaging to obtain a state representation value ZB, wherein the state detection module sends the state representation value ZB to the comprehensive analysis module through the test platform.
As a preferred embodiment of the present invention, the specific process of analyzing and detecting the weight of the user by the weight analysis unit includes: arranging a pressure sensor on the seat, detecting the pressure generated when a user sits on the seat through the pressure sensor, marking the average pressure of the seat in a detection time period i as YLi, summing and averaging the average pressure in all the detection time periods i to obtain a pressure average value YLp, obtaining a maximum pressure value YLmax and a minimum pressure value YLmin through a formula YLmax = t1 × YLp and a formula YLmin = t2 × YLp, wherein t1 and t2 are proportional coefficients, t1 is more than or equal to 0.75 and less than or equal to 0.85, t2 is more than or equal to 1.25 and the maximum pressure value YLmax and the minimum pressure value YIn form a pressure range, and comparing the average pressure YLi in the detection time period i with the maximum pressure value YLmax and the minimum pressure value YLmin one by one:
if YLi is more than or equal to YLmax or YLi is less than or equal to YLmin, marking the corresponding detection time period i as a floating time period;
if YLmin < YLi < YLmax, then mark the corresponding detection period i as a fixed period.
As a preferred embodiment of the present invention, the process of acquiring the current value YB of the pressure gauge includes: obtaining the number of floating time periods and marking the number as m, marking the ratio of m to n as a floating ratio, and comparing the floating ratio with a floating threshold value: if the floating ratio is smaller than or equal to the floating threshold value, judging that the weight of the user in the detection period is constant, and taking the pressure average value as a pressure present value YB of the detection period; if the floating ratio is larger than the floating threshold value, judging that the weight of the user in the detection period floats, and analyzing the pressure present value of the detection period: marking the maximum average pressure and the minimum average pressure in all the detection periods i as ZD and ZX respectively, marking the average value of ZD and ZX as a pressure actual value YB of a detection period, and sending the pressure actual value YB to the comprehensive analysis module through the test platform by the weight analysis unit.
As a preferred embodiment of the present invention, the frequency analyzing unit is configured to analyze and detect a usage frequency of the seat adjuster: acquiring the use times of the seat regulator in the detection period i, marking the use times as CSi, marking the ratio of the CSi to L1 as a frequency value PLi of the detection period i, comparing the frequency value PLi of the detection period i with a frequency threshold value PLmin, and dividing the detection period into an effective period and an ineffective period according to the comparison result of the frequency value of the detection period i and the frequency threshold value; and summing all the effective time period frequency values and taking an average number to obtain a frequency table representative value PB of the detection period, and sending the frequency table representative value PB to the comprehensive analysis module by the frequency analysis unit through the test platform.
As a preferred embodiment of the present invention, the comparing process of the frequency value PLi of the detection period i with the frequency threshold value PLmin includes:
if the frequency value PLi of the detection time interval i is less than or equal to the frequency threshold value PLmin, judging that the corresponding detection time interval is an invalid time interval;
and if the frequency value PLi of the detection time interval i is greater than the frequency threshold value PLmin, judging that the corresponding detection time interval is an effective time interval.
In a preferred embodiment of the present invention, the test platform is further communicatively connected with a test module, and the test module is configured to perform a test analysis on the accuracy of the result of the endurance analysis: obtaining a test value JY through a formula JY = a × ZB, wherein a is a proportionality coefficient, and a is more than or equal to 1.2 and less than or equal to 1.25; selecting a point on the durable ray as a check point, taking the numerical value of the ordinate of the check point as a check value, obtaining the abscissa of the check point and marking the abscissa as check time, marking the difference value between the check time and the factory time as check time JS, monitoring the state expression value of the seat adjuster in real time, marking the difference value between the current time and the factory time as analysis time FS when the state expression value of the seat adjuster reaches the check value, obtaining a check coefficient JM through a formula JM = | JS-FS |/JS, and comparing the check coefficient JM with a check threshold JMmax: if the checking coefficient JM is less than or equal to the checking threshold value JMmax, judging that the accuracy of the result of the comprehensive analysis meets the requirement, and sending a checking qualified signal to the test platform by the checking module; and if the checking coefficient JM is larger than the checking threshold value JMmax, judging that the result accuracy of the endurance analysis does not meet the requirement, and sending a checking unqualified signal to the testing platform by the checking module.
As a preferred embodiment of the present invention, a method of operating a durability test system for a seat adjuster includes the steps of:
the method comprises the following steps: setting a detection period after the seat adjuster leaves a factory, and detecting and analyzing the working state of the seat adjuster in the detection period through a state detection module to obtain a state representation value;
step two: detecting and analyzing the weight of the user through a weight analysis unit, dividing a detection time interval into a floating time interval and a fixed time interval, and judging a pressure present value of a detection period through a comparison result of a floating ratio and a floating threshold;
step three: detecting and analyzing the use frequency of the seat adjuster through a frequency analysis module to obtain a frequency representation value of a detection period;
step four: the comprehensive analysis module carries out endurance analysis on the received state representation value ZB, the pressure representation value YB and the frequency representation value PB to obtain endurance duration;
step five: the inspection module carries out result accuracy verification on the endurance duration output by the comprehensive analysis module, and when the result accuracy of the endurance analysis does not meet the requirement, the inspection module sends an unqualified inspection signal to the comprehensive analysis module through the test platform.
Compared with the prior art, the invention has the beneficial effects that:
1. the service state of the seat adjuster after leaving the factory can be detected and analyzed through the state detection module, the state coefficient is obtained through calculation of the service parameters, the performance of the seat adjuster is fed back through the state coefficient, the actual service state of the seat adjuster is reflected, and the accuracy of the durability detection result is improved through trend analysis of the service state of the seat adjuster in the detection period;
2. analyzing a user using the automobile seat through a user analysis module, detecting the bearing pressure and the use frequency of the seat through a weight analysis unit and a frequency analysis unit so as to obtain the influence rule of the bearing pressure and the use frequency of the seat on the durability of the regulator, and predicting the durability of the seat regulator at the initial use stage of the seat regulator by performing durability analysis in a detection period and simulating the durability curve of the seat regulator through the detection result of the detection period;
3. the durability analysis result can be accurately tested through the testing module, the durability analysis result is monitored in a mode of selecting a testing point on the durability ray, and the durability analysis result is analyzed again when inaccurate, so that the accuracy of the durability analysis result is further improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a first embodiment of the present invention;
FIG. 2 is a schematic block diagram of a second embodiment of the present invention;
fig. 3 is a flowchart of a method according to a third embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, a durability test system for a seat adjuster includes a test platform, which is communicatively connected with a state detection module, a user analysis module, and a comprehensive analysis module;
the state detection module is used for detecting and analyzing the working state of the seat adjuster, and analyzing the state of the seat adjuster through mechanical tests such as noise and stuck, and the specific working state detection and analysis process comprises the following steps:
setting a detection cycle after the seat adjuster leaves a factory, dividing the detection cycle into detection time periods i, i =1, 2, …, n, n is a positive integer, the duration of each detection time period i is L1 days, L1 is a constant number, obtaining a noise value generated when the seat adjuster is used in the detection time period i and marking the noise value as ZSi, wherein the noise value is directly obtained by a sound sensor, and the sound sensor is internally provided with a capacitance type electret microphone sensitive to sound. The sound waves vibrate the electret film in the microphone, resulting in a change in capacitance, which generates a minute voltage that changes in response thereto. The voltage is then converted into a voltage of 0-5V, the voltage is received by a data acquisition unit through A/D conversion, the number of times of inching of the seat adjuster in the detection period i is obtained and is marked as KDi, a state coefficient ZTi of the detection period i is obtained through a formula ZTi = alpha 1 xZSi + alpha 2 x KDi, it is required to be noted that the state coefficient ZTi is a numerical value reflecting the use state of the seat adjuster in the detection period i, the larger the numerical value of the state coefficient ZTi is, the worse the use state of the seat adjuster is, wherein alpha 1 and alpha 2 are proportionality coefficients, and alpha 1 is greater than alpha 2 and greater than 0; comparing the state coefficients ZTi of the detection period i with a state threshold value ZTmax one by one: if the state coefficient ZTi is less than or equal to the state threshold ZTmax, marking the corresponding detection time interval i as a normal time interval; if the state coefficient ZTi is greater than the state threshold value ZTmax, marking the corresponding detection time interval i as an abnormal time interval; and acquiring all abnormal time periods, summing the state coefficients of the abnormal time periods, and averaging to obtain a state representation value ZB, wherein the state detection module sends the state representation value ZB to the comprehensive analysis module through the test platform.
The user analysis module comprises a weight analysis unit and a frequency analysis unit.
The weight analysis unit is used for analyzing and detecting the weight of the user: arranging a pressure sensor on the seat, detecting the pressure generated when a user sits on the seat through the pressure sensor, marking the average pressure of the seat in a detection time period i as YLi, summing and averaging the average pressure in all the detection time periods i to obtain a pressure average value YLp, obtaining a maximum pressure value YLmax and a minimum pressure value YLmin through a formula YLmax = t1 × YLp and a formula YLmin = t2 × YLp, wherein t1 and t2 are proportional coefficients, t1 is more than or equal to 0.75 and less than or equal to 0.85, t2 is more than or equal to 1.25 and the maximum pressure value YLmax and the minimum pressure value YIn form a pressure range, and comparing the average pressure YLi in the detection time period i with the maximum pressure value YLmax and the minimum pressure value YLmin one by one: if YLi is more than or equal to YLmax or YLi is less than or equal to YLmin, marking the corresponding detection time period i as a floating time period; if YLmin is less than YLi and less than YLmax, marking the corresponding detection time interval i as a fixed time interval; obtaining the number of floating time periods and marking the number as m, marking the ratio of m to n as a floating ratio, and comparing the floating ratio with a floating threshold value: if the floating ratio is smaller than or equal to the floating threshold value, judging that the weight of the user in the detection period is constant, and taking the pressure average value as a pressure present value YB of the detection period; if the floating ratio is larger than the floating threshold value, judging that the weight of the user in the detection period floats, and analyzing the pressure present value of the detection period: marking the maximum average pressure and the minimum average pressure in all detection periods i as ZD and ZX respectively, marking the average value of ZD and ZX as a current pressure value YB of a detection period, sending the current pressure value YB to a comprehensive analysis module through a test platform by a weight analysis unit, distinguishing users according to different use conditions and analyzing the current pressure values according to different users, wherein when the seat regulator is applied to a taxi or a net appointment car, the weight and the riding habits of passengers are different, and when the seat regulator is applied to a private car, the weight and the riding habits of the passengers have certain regularity; therefore, the pressure actual value of the seat adjuster is obtained in different modes aiming at different application environments of the seat adjuster, so that the durability detection accuracy of the seat adjuster is improved;
the frequency analysis unit is used for analyzing and detecting the use frequency of the seat adjuster: obtaining the number of times of using the seat regulator in the detection period i and marking the number as CSi, marking the ratio of the CSi to L1 as a frequency value PLi of the detection period i, and comparing the frequency value PLi of the detection period i with a frequency threshold value PLmin: if the frequency value PLi of the detection time interval i is less than or equal to the frequency threshold value PLmin, judging that the corresponding detection time interval is an invalid time interval; if the frequency value PLi of the detection time interval i is greater than the frequency threshold value PLmin, judging that the corresponding detection time interval is an effective time interval; and summing all the effective time period frequency values and taking an average number to obtain a frequency table representative value PB of the detection period, and sending the frequency table representative value PB to the comprehensive analysis module by the frequency analysis unit through the test platform.
The comprehensive analysis module is used for carrying out durability analysis through the received state representation value ZB, the pressure representation value YB and the frequency representation value PB: obtaining an influence coefficient YX through a formula YX = beta 1 xYB + beta 2 xPB, wherein the influence coefficient is a numerical value reflecting the influence degree of the seat adjuster on the weight of the user and the use frequency of the adjuster, and the higher the numerical value of the influence coefficient is, the higher the influence degree of the seat adjuster on the weight of the user and the use frequency of the adjuster is; wherein, the beta 1 and the beta 2 are proportional coefficients, and 1 is more than beta 2 and more than beta 1 and more than 0; establishing a rectangular coordinate system by taking time as an X axis and a state representation value as a Y axis, selecting a starting point in the rectangular coordinate system, marking the horizontal coordinate of the starting point as zero and the vertical coordinate as a state representation value ZB of a detection period, taking the starting point as an end point, making a ray by taking the numerical value of an influence coefficient YX as a slope in a first quadrant of the rectangular coordinate system, marking the obtained ray as a durable ray, obtaining a state representation threshold value ZBmax, selecting a reference point in the rectangular coordinate system, marking the horizontal coordinate of the reference point as zero and the vertical coordinate as the state representation threshold value ZBmax, taking the reference point as the end point, making a ray parallel to the X axis in the first quadrant of the rectangular coordinate system, marking the obtained ray as a reference ray, marking the intersection point of the reference ray and the durable ray as a scrapped point, obtaining the horizontal coordinate of the scrapped point and marking as scrapped time, marking the difference value of the scrapped time and factory time as durable time, and the comprehensive analysis module sends the endurance time to the test platform.
Example two
Referring to fig. 2, the testing platform is further communicatively connected to a testing module, and the testing module is configured to perform testing analysis on the accuracy of the result of the endurance analysis: obtaining a test value JY through a formula JY = a × ZB, wherein a is a proportionality coefficient, and a is more than or equal to 1.2 and less than or equal to 1.25; selecting a point on the durable ray as a check point, taking the numerical value of the ordinate of the check point as a check value, obtaining the abscissa of the check point and marking the abscissa as check time, marking the difference value between the check time and the factory time as check time JS, monitoring the state expression value of the seat adjuster in real time, marking the difference value between the current time and the factory time as analysis time FS when the state expression value of the seat adjuster reaches the check value, obtaining a check coefficient JM through a formula JM = | JS-FS |/JS, and comparing the check coefficient JM with a check threshold JMmax: if the checking coefficient JM is less than or equal to the checking threshold value JMmax, judging that the accuracy of the result of the comprehensive analysis meets the requirement, and sending a checking qualified signal to the test platform by the checking module; and if the checking coefficient JM is larger than the checking threshold value JMmax, judging that the result accuracy of the endurance analysis does not meet the requirement, and sending a checking unqualified signal to the testing platform by the checking module.
And the comprehensive analysis module receives the unqualified inspection signal and then reselects a detection period by taking the inspection point as a starting point for carrying out durability analysis.
EXAMPLE III
Referring to fig. 3, a durability test for a seat adjuster includes the following steps:
the method comprises the following steps: setting a detection period after the seat adjuster leaves a factory, and detecting and analyzing the working state of the seat adjuster in the detection period through a state detection module to obtain a state representation value;
step two: detecting and analyzing the weight of the user through a weight analysis unit, dividing a detection time interval into a floating time interval and a fixed time interval, and judging a pressure present value of a detection period through a comparison result of a floating ratio and a floating threshold;
step three: detecting and analyzing the use frequency of the seat adjuster through a frequency analysis module to obtain a frequency representation value of a detection period;
step four: the comprehensive analysis module carries out endurance analysis on the received state representation value ZB, the pressure representation value YB and the frequency representation value PB to obtain endurance duration;
step five: the inspection module carries out result accuracy verification on the endurance duration output by the comprehensive analysis module, and when the result accuracy of the endurance analysis does not meet the requirement, the inspection module sends an unqualified inspection signal to the comprehensive analysis module through the test platform.
When the seat adjuster is used, a detection period is set after the seat adjuster leaves a factory, and the working state of the seat adjuster in the detection period is detected and analyzed through the state detection module to obtain a state representation value; judging the current pressure value of the detection period according to the comparison result of the floating ratio and the floating threshold value; detecting and analyzing the use frequency of the seat adjuster by using a frequency analysis module to obtain a frequency representation value of a detection period; the comprehensive analysis module carries out durability analysis on the seat adjuster and obtains the durability duration.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula YX = β 1 × YB + β 2 × PB; collecting multiple groups of sample data and setting corresponding influence coefficients for each group of sample data by a person skilled in the art; substituting the set influence coefficient and the acquired sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of beta 1 and beta 2 which are 0.35 and 0.47 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the influence coefficient preliminarily set by a person skilled in the art for each group of sample data; the proportional relation between the parameter and the quantized numerical value is not influenced, for example, the influence coefficient is in direct proportion to the numerical value of the pressure present value.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. A durability test system of a seat adjuster comprises a test platform, and is characterized in that the test platform is in communication connection with a state detection module, a user analysis module, a comprehensive analysis module and a test module;
setting a detection cycle after a seat regulator leaves a factory, dividing the detection cycle into detection time periods i, i =1, 2, …, n, wherein n is a positive integer, the duration of each detection time period i is L1 days, and L1 is a constant number;
the state detection module is used for detecting and analyzing the working state of the seat adjuster and obtaining a state representation value ZB;
the user analysis module comprises a weight analysis unit and a frequency analysis unit;
the weight analysis unit is used for analyzing and detecting the weight of the user and obtaining a current pressure value YB;
the frequency analysis unit is used for analyzing and detecting the use frequency of the seat adjuster and obtaining a frequency table representative value PB;
the comprehensive analysis module is used for carrying out durability analysis through the state representation value ZB, the pressure representation value YB and the frequency representation value PB: obtaining an influence coefficient YX through a formula YX = beta 1 xYB + beta 2 xPB, wherein beta 1 and beta 2 are proportional coefficients, and 1 > beta 2 > beta 1 > 0; establishing a rectangular coordinate system by taking time as an X axis and a state representation value as a Y axis, selecting a starting point in the rectangular coordinate system, marking the horizontal coordinate of the starting point as zero and the vertical coordinate as a state representation value ZB of a detection period, taking the starting point as an end point, making a ray by taking the numerical value of an influence coefficient YX as a slope in a first quadrant of the rectangular coordinate system, marking the obtained ray as a durable ray, obtaining a state representation threshold value ZBmax, selecting a reference point in the rectangular coordinate system, marking the horizontal coordinate of the reference point as zero and the vertical coordinate as the state representation threshold value ZBmax, taking the reference point as the end point, making a ray parallel to the X axis in the first quadrant of the rectangular coordinate system, marking the obtained ray as a reference ray, marking the intersection point of the reference ray and the durable ray as a scrapped point, obtaining the horizontal coordinate of the scrapped point and marking as scrapped time, marking the difference value of the scrapped time and factory time as durable time, and the comprehensive analysis module sends the endurance time to the test platform.
2. The system for testing the durability of a seat adjuster according to claim 1, wherein the detecting and analyzing of the operating state of the seat adjuster by the state detecting module comprises: acquiring a noise value generated when the seat adjuster is used in the detection period i and marking the noise value as Zsi, acquiring the number of times of inching generated when the seat adjuster is used in the detection period i and marking the number as KDi, and obtaining a state coefficient ZTi of the detection period i by a formula ZTi = alpha 1 multiplied by Zsi + alpha 2 multiplied by KDi, wherein alpha 1 and alpha 2 are proportional coefficients, and alpha 1 is larger than alpha 2 and is larger than 0.
3. The durability test system of a seat adjuster according to claim 2, wherein the acquiring of the state representation value includes: comparing the state coefficients ZTi of the detection period i with a state threshold value ZTmax one by one:
if the state coefficient ZTi is less than or equal to the state threshold ZTmax, marking the corresponding detection time interval i as a normal time interval; if the state coefficient ZTi is greater than the state threshold value ZTmax, marking the corresponding detection time interval i as an abnormal time interval;
and acquiring all abnormal time periods, summing the state coefficients of the abnormal time periods, and averaging to obtain a state representation value ZB, wherein the state detection module sends the state representation value ZB to the comprehensive analysis module through the test platform.
4. The durability test system of the seat adjuster according to claim 1, wherein the specific process of analyzing and detecting the weight of the user by the weight analysis unit comprises: arranging a pressure sensor on the seat, detecting the pressure generated when a user sits on the seat through the pressure sensor, marking the average pressure of the seat in a detection time period i as YLi, summing and averaging the average pressure in all the detection time periods i to obtain a pressure average value YLp, obtaining a maximum pressure value YLmax and a minimum pressure value YLmin through a formula YLmax = t1 × YLp and a formula YLmin = t2 × YLp, wherein t1 and t2 are proportional coefficients, t1 is more than or equal to 0.75 and less than or equal to 0.85, t2 is more than or equal to 1.25 and the maximum pressure value YLmax and the minimum pressure value YIn form a pressure range, and comparing the average pressure YLi in the detection time period i with the maximum pressure value YLmax and the minimum pressure value YLmin one by one:
if YLi is more than or equal to YLmax or YLi is less than or equal to YLmin, marking the corresponding detection time period i as a floating time period;
if YLmin < YLi < YLmax, then mark the corresponding detection period i as a fixed period.
5. The system of claim 4, wherein the obtaining of the current pressure YB comprises: obtaining the number of floating time periods and marking the number as m, marking the ratio of m to n as a floating ratio, and comparing the floating ratio with a floating threshold value: if the floating ratio is smaller than or equal to the floating threshold value, judging that the weight of the user in the detection period is constant, and taking the pressure average value as a pressure present value YB of the detection period; if the floating ratio is larger than the floating threshold value, judging that the weight of the user in the detection period floats, and analyzing the pressure present value of the detection period: marking the maximum average pressure and the minimum average pressure in all the detection periods i as ZD and ZX respectively, marking the average value of ZD and ZX as a pressure actual value YB of a detection period, and sending the pressure actual value YB to the comprehensive analysis module through the test platform by the weight analysis unit.
6. The durability test system of a seat adjuster according to claim 1, wherein the frequency analysis unit is configured to analyze and detect a usage frequency of the seat adjuster: acquiring the use times of the seat regulator in the detection period i, marking the use times as CSi, marking the ratio of the CSi to L1 as a frequency value PLi of the detection period i, comparing the frequency value PLi of the detection period i with a frequency threshold value PLmin, and dividing the detection period into an effective period and an ineffective period according to the comparison result of the frequency value of the detection period i and the frequency threshold value; and summing all the effective time period frequency values and taking an average number to obtain a frequency table representative value PB of the detection period, and sending the frequency table representative value PB to the comprehensive analysis module by the frequency analysis unit through the test platform.
7. The durability test system of a seat adjuster according to claim 6, wherein the comparison of the frequency value PLi of the detection period i with the frequency threshold value PLmin comprises:
if the frequency value PLi of the detection time interval i is less than or equal to the frequency threshold value PLmin, judging that the corresponding detection time interval is an invalid time interval;
and if the frequency value PLi of the detection time interval i is greater than the frequency threshold value PLmin, judging that the corresponding detection time interval is an effective time interval.
8. The system of claim 1, wherein the testing platform is further communicatively coupled to a verification module for verifying the accuracy of the results of the durability analysis: obtaining a test value JY through a formula JY = a × ZB, wherein a is a proportionality coefficient, and a is more than or equal to 1.2 and less than or equal to 1.25; selecting a point on the durable ray as a check point, taking the numerical value of the ordinate of the check point as a check value, obtaining the abscissa of the check point and marking the abscissa as check time, marking the difference value between the check time and the factory time as check time JS, monitoring the state expression value of the seat adjuster in real time, marking the difference value between the current time and the factory time as analysis time FS when the state expression value of the seat adjuster reaches the check value, obtaining a check coefficient JM through a formula JM = | JS-FS |/JS, and comparing the check coefficient JM with a check threshold JMmax: if the checking coefficient JM is less than or equal to the checking threshold value JMmax, judging that the accuracy of the result of the comprehensive analysis meets the requirement, and sending a checking qualified signal to the test platform by the checking module; if the checking coefficient JM is larger than the checking threshold value JMmax, judging that the result accuracy of the endurance analysis does not meet the requirement, and sending a checking unqualified signal to the testing platform by the checking module;
and the comprehensive analysis module receives the unqualified inspection signal and then reselects a detection period by taking the inspection point as a starting point for carrying out durability analysis.
9. The durability test system of a seat adjuster according to any one of claims 1 to 8, wherein the method of operating the durability test system of a seat adjuster comprises the steps of:
the method comprises the following steps: setting a detection period after the seat adjuster leaves a factory, and detecting and analyzing the working state of the seat adjuster in the detection period through a state detection module to obtain a state representation value;
step two: detecting and analyzing the weight of the user through a weight analysis unit, dividing a detection time interval into a floating time interval and a fixed time interval, and judging a pressure present value of a detection period through a comparison result of a floating ratio and a floating threshold;
step three: detecting and analyzing the use frequency of the seat adjuster through a frequency analysis module to obtain a frequency representation value of a detection period;
step four: the comprehensive analysis module carries out endurance analysis on the received state representation value ZB, the pressure representation value YB and the frequency representation value PB to obtain endurance duration;
step five: the inspection module carries out result accuracy verification on the endurance duration output by the comprehensive analysis module, and when the result accuracy of the endurance analysis does not meet the requirement, the inspection module sends an unqualified inspection signal to the comprehensive analysis module through the test platform.
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