Data analysis-based system and method for performance testing of a rotary sensor

Abstract

The present invention relates to the technical field of performance testing of a rotary sensor, in particular a data analysis-based system and method for performance testing of a rotary sensor; wherein the system comprises an analysis module for associated user vehicles that records the state characteristics of the rotary sensor during each maintenance of the vehicle under test, constructs a relationship function of the winding variable with respect to the operating time of the vehicle, and analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone replacement of the rotary sensor in the database and obtains a set of the associated user vehicles of the vehicle under test.Taking into account the user's use of the vehicle and the influence of temperature and shocks on the rotation sensor during vehicle operation, the effects of the user's use of the vehicle on the performance of the rotation sensor are summarized in order to accurately predict the remaining service life of the rotation sensor and to warn the vehicle user of faults in a timely manner.

Description

TECHNICAL FIELD

[0001] The present invention relates to the technical field of performance testing of a rotation sensor, in particular to a data analysis-based system and method for performance testing of a rotation sensor. STATE OF THE ART

[0002] With the increasing popularity of electric vehicles, the drive motor is becoming increasingly important as a component. The rotation sensor is one of the key components of the drive motor. It is a sensor for measuring motor speed and orientation. By detecting the rotating magnetic field, it generates corresponding electrical signals that are used to monitor and control the motor. A failure of the rotation sensor can prevent the drive motor from starting, which in turn prevents the electric vehicle from driving. Therefore, analyzing and testing the performance of the rotation sensor is currently an urgent task.

[0003] The existing data analysis-based systems for performance testing of a rotation sensor only judge by comparing the resistance of the winding coil with the range of allowable resistance values ​​of the winding coil, without considering the user's use of the vehicle and the influence of temperature and shock on the rotation sensor during vehicle operation (since the main component of the rotation sensor is the coil, and the coil temperature increases during the operation of the rotation sensor, external shock may cause deformation of the leads inside the coil, which will increase the resistance of the coil and may even cause the coil to break down), therefore the remaining service life of the sensor cannot be accurately predicted, which leads to serious shortcomings of the existing technology. CONTENT OF THE PRESENT INVENTION

[0004] A purpose of the present invention is to provide a data analysis-based system and method for performance testing of a rotation sensor to solve the problems described in the prior art.

[0005] To solve the above technical problems, the present invention uses the following technical solution: a data analysis-based method for performance testing of a rotation sensor, the method comprising the following steps: S1: Acquiring vehicle usage information of a vehicle under test during two adjacent maintenance periods in the historical data, generating disturbance characteristics of the vehicle usage information of the vehicle under test with respect to a rotation sensor, wherein the vehicle usage information includes the number of operations of the vehicle, the temperature value of the rotation sensor, and the vibration state value of the rotation sensor at different times during each operation of the vehicle; S2: Recording the state characteristics of the rotation sensor during each maintenance of the vehicle under test, wherein the state characteristics include an excitation winding resistance value, a sine winding resistance value, and a cosine winding resistance value; constructing a relationship function of the winding variable with respect to the operating time of the vehicle, wherein the winding variable corresponds to the maximum value of the differences between the excitation winding resistance value, the sine winding resistance value, the cosine winding resistance value, and their corresponding initial resistance values, and wherein the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value are different in the database;analyzing the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the rotation sensor replacement in the database and obtaining a set of the corresponding user vehicles of the vehicle under test; S3: Combining the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the fluctuation intervals of the resistance values ​​corresponding to the respective windings of the rotation sensor, and obtaining the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test; introducing the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variables corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's service life, recording the average value of each service life in the obtained result as the effective service life of the rotation sensor in the vehicle under test; S4: Obtaining a failure risk impact value of the rotation sensor in the vehicle under test at the current time based on the total usage time of the rotation sensor in the vehicle under test in the historical data and the effective lifetime of the rotation sensor in the vehicle under test; generating a rotation sensor replacement warning if the obtained failure risk impact value is less than the risk threshold, and sending the generated rotation sensor replacement warning to the mobile terminal of the user of the vehicle under test via a wireless communication network.

[0006] Furthermore, the temperature values ​​of the rotation sensor are detected at different times in the vehicle usage information by a temperature sensor closest to the rotation sensor; wherein the vibration state value of the rotation sensor at different times in the vehicle usage information is equal to the monitoring result of the vibration sensor closest to the rotation sensor at the corresponding time; and wherein the method for generating disturbance characteristics of the usage information of the vehicle to be tested with respect to the rotation sensor in step S1 comprises the following steps: S11: Collect vehicle usage information of the vehicle to be tested during the i-th maintenance and the i+1-th maintenance in the historical data, record it as A( i,i+1 ), recording the time interval of the j-th operation of the vehicle in 'A( i,i+1 ) as Bj ( i,i+1 ), Record the temperature value of the rotation sensor corresponding to time t in Bj( i,i+1 ) as Ttj( i,i+1 ), Recording the vibration state value of the rotation sensor corresponding to time t in Bj( i, i+1) as Ztj( i,i+1 ), where t ∈ Bj( i,i+1 ) is; S12: Obtain the value of the disturbance influence generated by the operating environment on the rotation sensor during the j-th operation of the vehicle during the i-th maintenance and the i+1-th maintenance of the vehicle under test and record it as Gj ( i,i+1 ), Gj(i,i+1)=∫t=t1t=t2F{Ttj(i,i+1),Tb}×Ztj(i,i+1)dt, where t1 is the minimum value in Bj( i,i+1 ), t2 the maximum value in Bj( i,i+1 ) and Tb represents the preset temperature reference value in the database, if Ttj(i,i+1)≥Tb, F{Ttj(i,i+1),Tb}=g×(Ttj(i,i+1)−Tb)+r, if Ttj(i,i+1) <Tb ist, ist F{Ttj(i,i+1),Tb}=g1×(Tb−Ttj(i,i+1))+r where g represents a first disturbance conversion coefficient, g1 a second disturbance conversion coefficient and r a temperature disturbance threshold, and where g, g1 and r are each preset constants in the database; S13: sequentially recording the obtained respective values ​​of the disturbance influences generated by the corresponding operating environment of the vehicle under test with respect to the rotation sensor when i is a different value and j is a different value in the historical data in an empty set to obtain a disturbance influence set; and using the item corresponding to the largest disturbance influence value in the obtained disturbance influence set as the disturbance characteristic of the usage information of the vehicle under test with respect to the rotation sensor;

[0007] The present invention detects the disturbance characteristics of the rotation sensor, taking into account that the disturbance influence values ​​generated by different vehicles differ during each vehicle operation, but each disturbance influence value reflects, to a certain extent, the influence of the user's vehicle operation on the performance of the rotation sensor. The detection of the disturbance characteristics of the rotation sensor provides data support for the subsequent steps of obtaining the amount of change in the resistance value related to the risk of circuit breakage due to impact of the vehicle under test.

[0008] Furthermore, the method for constructing a relationship function of the winding variable with respect to the operating time of the vehicle in step S2 comprises the following steps: S201: Acquiring the state characteristics of the rotation sensor during each maintenance of the vehicle under test, recording the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value in the state characteristics of the rotation sensor at the i-th maintenance of the vehicle under test as D[i]1, D[i]2, and D[i]3, respectively; S202: Constructing a winding variable data pair corresponding to the state characteristics of the rotation sensor during the i-th maintenance of the vehicle under test and recorded as (STi, RBi), where STi represents the operating time of the vehicle under test from the last replacement of the rotation sensor to the i-th maintenance, and RBi represents the value of the winding variable corresponding to the state characteristics of the rotation sensor during the i-th maintenance of the vehicle under test, and RBi=max {D[i]1 - DM1, D[i]2 - DM2, D[i]2 - DM2}, and where max{} is a function operation for determining the maximum value, and where DM1, DM2, DM3 respectively represent the initial value of the excitation winding resistance value, the initial value of the sine winding resistance value, and the initial resistance value of the cosine winding resistance value corresponding to the last replaced rotation sensor of the vehicle under test; S203: Construct a planar rectangular coordinate system with o as the origin, with the vehicle's operating time as the x-axis, and with the value of the winding variable as the y-axis. Mark the corresponding coordinate points of the winding variable data pairs obtained in S202, which correspond to the different values ​​of i, in the planar rectangular coordinate system. Connect the marked adjacent coordinate points according to the order of the x-axis coordinate value from smallest to largest, and obtain a line graph of changes in the value of the winding variable with the vehicle's operating time. Use the function corresponding to the obtained line graph of changes in the value of the winding variable with the vehicle's operating time as the constructed relationship function of the winding variable with respect to the vehicle's operating time and record it as F(x), where the range of the value of x is recorded as [0, xm].and where xm is the total operating time of the vehicle during the last service of the vehicle under test.

[0009] The present invention collects the resistance values ​​of the respective windings of the rotation sensor during maintenance, taking into account that during use of the rotation sensor, with the increase of usage time, dust gradually adheres to the rotation sensor, which affects the resistance value of the respective windings of the rotation sensor, and at each maintenance, the maintenance personnel will remove the dust on the rotation sensor, so that the resistance value of the winding monitored at that time is more accurate, and it is convenient to analyze the relationship function of the winding variable of the rotation sensor with respect to the service life of the vehicle.

[0010] Furthermore, the method for obtaining the set of associated user vehicles of the vehicle to be tested in step S2 comprises the following steps: S211: Registering the user vehicles that have completed the replacement of the rotation sensor in the database, recording the relationship function of the winding variable with respect to the operation time of the vehicle from the k-th user vehicle that has completed the replacement of the rotation sensor to the time when the rotation sensor is not yet replaced as Fk (xk), recording the range of the value of xk as [0, xkm], where xkm represents the corresponding total operation time of the vehicle of the k-th user vehicle that has completed the replacement of the rotation sensor when the rotation sensor is replaced, and where the operation time of the vehicle is the duration of the corresponding vehicle in a starting state; S212: Determine a deviation state value between F(x) and Fk(xk) and record it as P [F(x),Fk(xk)] , P[F(x),Fk(xk)]={∫xL=0xL=min{xm,xkm}|Fk(xL)−F(xL)|dxL} / min{xm,xkm}, where min {} represents the operation of finding the minimum value, Fk (xL) represents the result corresponding to Fk (xk) when the value of xk is xL, and F (xL) represents the result corresponding to F (x) when the value of x is xL; S213: if P [F(x),Fk(xk)] ≤ β and xkm > xm, the user vehicle corresponding to Fk(xk) is taken as the associated user vehicle of the vehicle under test, and conversely, the user vehicle corresponding to Fk(xk) is determined as not an associated user vehicle of the vehicle under test, and β is a preset deviation state threshold in the database; Recording a set formed by all associated user vehicles of the vehicle to be tested in the database as a set of associated user vehicles of the vehicle to be tested; The present invention takes into account the fact that the relationship function of the winding variable of the rotation sensor in the vehicle under test with respect to the operating time of the vehicle has no obvious trend (no obvious regularity) in the function change model, so that by the relationship function of the winding variable of the rotation sensor of a user vehicle, whose relationship function is similar to the corresponding relationship function of the vehicle under test, with respect to the operating time of the vehicle, the relationship between the performance (winding variable) of the rotation sensor in the vehicle under test and the operating time of the vehicle is indirectly and accurately predicted.

[0011] Furthermore, the method for obtaining the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test in step S3 comprises the following steps: S301: Acquiring the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the resistance variation intervals corresponding to each winding of the rotation sensor, wherein the resistance variation intervals corresponding to each winding of the rotation sensor are the resistance variation intervals preset in the database corresponding to each winding of the rotation sensor in the normal operating state; S302: Obtaining an amount of change in resistance value related to the risk of circuit breakage due to impacts of the vehicle under test and recording min{a1, a2}; where a1 represents the difference value between the maximum value in the corresponding resistance fluctuation interval of the obtained winding whose difference value between the corresponding excitation winding resistance value, sine winding resistance value and cosine winding resistance value at the current time and the corresponding initial resistance value is maximum, and the initial resistance value of the corresponding winding; and where a2 represents the resistance value affected by the circuit break, a2=bh×c, and where b represents a maximum winding resistance value n of the rotation sensor in operation of the rotation sensor before the replacement of the vehicle's rotation sensor in the historical data, which is the same as the winding corresponding to a1, minus the difference value between the initial values ​​of the corresponding windings of the rotation sensor in the vehicle under test, and where, in the present invention, it is preset that a rotation sensor cannot be operated when there is a short circuit or circuit break of the windings, and where h represents a resistance coefficient of noise due to shock, and c represents the noise characteristics and the usage information of the vehicle under test regarding the rotation sensor; and wherein the value of h is equal to the average value of the shock influence coefficients corresponding to the respective historical test data pairs, each test data pair corresponding to a shock influence coefficient; Recording any test data pair as (Ec, N), where the value of Ec is different in different test data pairs and Ec represents the disturbance characteristic of vehicle usage information related to the rotation sensor in the test data pairs; recording the winding corresponding to a1 in the operation of the rotation sensor before the replacement of the vehicle's rotation sensor in the historical data as W; where N is the average value of the corresponding resistance values ​​of the W-type winding before the influence of the disturbance characteristic Ec in the tests in which, after the influence of the disturbance characteristic Ec, the coil corresponding to the W-type winding in the vehicle's rotation sensor has a break, and where N <n ist; where (Ec, N) corresponds to a shock influence coefficient equal to (nN) / Ec; In the process of determining the resistance value affected by the circuit breakage in the present invention, considering that the resistance value of the winding coil in the rotation sensor is jointly affected by temperature and shock, the higher the temperature, the softer the texture of the lines in the winding coil, and under the influence of shock, the lines are more susceptible to deformation (strain), resulting in a higher resistance value of the winding coil, and in the present invention, h represents an influence coefficient (shock influence coefficient) of the disturbance characteristic (disturbance influence value) on the resistance value of the winding;Determining the amount of change in resistance value related to the risk of circuit breakage due to shock is used to accurately predict the remaining service life of the rotation sensor in subsequent steps and provides data support for fault warning.;

[0012] Furthermore, in the process of introducing the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variable corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's operating time, in step S3, the range of the value of each relationship function on the y-axis in the relationship function of the winding variable corresponding to the associated user vehicle with respect to the vehicle's operating time, into which the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test is introduced, is greater than or equal to the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test.

[0013] Furthermore, the method for obtaining a failure risk impact value of the rotation sensor in the vehicle to be tested at the current time in step S4 comprises the following steps: S41: Recording the total duration SYT of use of the rotation sensor in the vehicle under test in the historical data and the effective lifetime YYT of the rotation sensor in the vehicle under test; S42: Obtaining a failure risk impact value of the rotation sensor in the vehicle under test at the current time and recording it as GFY, GFY=(YYT-SYT) / PYT, where PYT represents the average of the total time the vehicle under test is operated during two adjacent maintenance periods. A data analysis-based system for performance testing of a rotary sensor, comprising the following modules: a disturbance characteristic extraction module that acquires the vehicle usage information of a vehicle under test during two adjacent maintenance periods in the historical data and generates disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor, wherein the vehicle usage information includes the number of operations of the vehicle, the temperature value of the rotation sensor, and the vibration state value of the rotation sensor at different times during each operation of the vehicle; an associated user vehicle analysis module that acquires the state characteristics of the rotation sensor during each maintenance of the vehicle under test, constructs a relationship function of the winding variable with respect to the vehicle's service life, and analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the replacement of the rotation sensor in the database, and obtains a set of the associated user vehicles of the vehicle under test; a rotation sensor lifetime prediction module that combines the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the fluctuation intervals of the resistance values ​​corresponding to the respective windings of the rotation sensor, respectively, to obtain the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test, introduces the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variables corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's usage lifetime, and records the average values ​​of each usage lifetime in the obtained result as the effective lifetime of the rotation sensor in the vehicle under test; a fault risk warning module that obtains a fault risk impact value of the rotation sensor in the vehicle under test at the current time based on the total usage time of the rotation sensor in the vehicle under test in the historical data and the effective lifetime of the rotation sensor in the vehicle under test, and generates a warning notice for replacing the rotation sensor when the obtained fault risk impact value is less than the risk threshold, and sends the generated warning notice for replacing the rotation sensor to the mobile terminal of the user of the vehicle under test via a wireless communication network, wherein the wireless communication network includes one of 4G, 5G and WiFi.

[0014] Further, the associated user vehicle analysis module includes a state property extraction unit, a winding variable function analysis unit, and an associated user vehicle set generation unit; and wherein the state characteristic extraction unit acquires the state characteristics of the rotation sensor during each maintenance of the vehicle to be tested, the state characteristics including the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value; and wherein the winding variable function analysis unit constructs a relationship function of the winding variable with respect to the operating time of the vehicle, and wherein the winding variable corresponds to the maximum value of the differences between the excitation winding resistance value, the sine winding resistance value, the cosine winding resistance value, and their corresponding initial resistance values, and wherein the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value are different in the database; and wherein the associated user vehicle set generating unit analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the rotation sensor replacement in the database and obtains a associated user vehicle set of the vehicle to be tested.

[0015] Compared with the prior art, the present invention has the following advantages: taking into account the user's use of the vehicle and the influence of temperature and shock on the rotation sensor during vehicle operation, the influences of the user's use of the vehicle on the performance of the rotation sensor are comprehensively analyzed to accurately predict the remaining service life of the rotation sensor, timely warn the user of the vehicle of failures, reduce the safety risks caused by the failure of the rotation sensor during vehicle driving, guarantee the user's driving safety, and realize effective monitoring of the performance of the rotation sensor. BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings are included to provide a further understanding of the present invention and form a part of the specification, and are used in conjunction with embodiments of the present invention to explain the present invention and are not limitative of the present invention. Fig. 1 shows a schematic diagram of the structure of a data analysis-based system for performance testing of a rotation sensor of the present invention. Fig. Figure 2 shows a flow diagram of a data analysis-based system for performance testing of a rotation sensor of the present invention. DETAILED DESCRIPTION

[0016] In conjunction with the accompanying drawings, the technical solutions in the embodiment of the present invention will be explained clearly and completely below. Obviously, the explained embodiments do not represent all embodiments, but only a part of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative work should be considered to be covered by the scope of the present invention.

[0017] With reference to Fig. 1, the present invention provides the following technical solution: a data analysis-based method for testing the performance of a rotation sensor, the method comprising the following steps: S1: Acquiring vehicle usage information of a vehicle under test during two adjacent maintenance periods in the historical data, generating disturbance characteristics of the vehicle usage information of the vehicle under test with respect to a rotation sensor, wherein the vehicle usage information includes the number of operations of the vehicle, the temperature value of the rotation sensor, and the vibration state value of the rotation sensor at different times during each operation of the vehicle; wherein the temperature values ​​of the rotation sensor are detected at different times in the vehicle usage information by a temperature sensor that is closest to the rotation sensor. and wherein the vibration state value of the rotation sensor at different times in the vehicle usage information is equal to the monitoring result of the vibration sensor closest to the rotation sensor at the corresponding time; and wherein the method for generating disturbance characteristics of the usage information of the vehicle to be tested with respect to the rotation sensor in step S1 comprises the following steps: S11: Collect vehicle usage information of the vehicle to be tested during the i-th maintenance and the i+1-th maintenance in the historical data, record this as A (i,i+1 ), recording the time interval of the j-th operation of the vehicle in A( i, i+1 ) as Bj( i,i+1 ), Record the temperature value of the rotation sensor corresponding to time t in Bj( i, i+1 ) as Ttj (i,i+1) , Recording the vibration state value of the rotation sensor corresponding to time t in Bj( i, i+1 ) as Ztj (i,i+1) , where t ∈ Bj( i,i+1 ) is; S12: Obtain the value of the disturbance influence generated by the operating environment on the rotation sensor during the j-th operation of the vehicle during the i-th maintenance and the i+1-th maintenance of the vehicle under test and record it as Gj (i,i+1 ), Gj(i,i+1)=∫t=t1t=t2F{Ttj(i,i+1),Tb}×Ztj(i,i+1)dt, where t1 is the minimum value in Bj( i,i+1 ), t2 the maximum value in Bj( i,i+1 ) and Tb represents the preset temperature reference value in the database, if Ttj(i,i+1)≥Tb, F{Ttj(i,i+1),Tb}=g×(Ttj(i,i+1)−Tb)+r, if Ttj(i,i+1) <Tb ist, ist F{Ttj(i,i+1),Tb}=g1×(Tb−Ttj(i,i+1))+r, where g represents a first disturbance conversion coefficient, g1 a second disturbance conversion coefficient and r a temperature disturbance threshold, and where g, g1 and r are each preset constants in the database; S13: sequentially recording the obtained respective values ​​of the disturbance influences generated by the corresponding operating environment of the vehicle under test with respect to the rotation sensor when i is a different value and j is a different value in the historical data in an empty set to obtain a disturbance influence set; and using the item corresponding to the largest disturbance influence value in the obtained disturbance influence set as the disturbance characteristic of the usage information of the vehicle under test with respect to the rotation sensor; S2: Recording the state characteristics of the rotation sensor during each maintenance of the vehicle under test, wherein the state characteristics include an excitation winding resistance value, a sine winding resistance value, and a cosine winding resistance value; constructing a relationship function of the winding variable with respect to the operating time of the vehicle, wherein the winding variable corresponds to the maximum value of the differences between the excitation winding resistance value, the sine winding resistance value, the cosine winding resistance value, and their corresponding initial resistance values, and wherein the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value are different in the database;analyzing the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the rotation sensor replacement in the database and obtaining a set of the corresponding user vehicles of the vehicle under test; wherein the method for constructing a relationship function of the winding variable with respect to the operating time of the vehicle in step S2 comprises the following steps: S201: Acquiring the state characteristics of the rotation sensor during each maintenance of the vehicle under test, recording the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value in the state characteristics of the rotation sensor at the i-th maintenance of the vehicle under test as D[i]1, D[i]2, and D[i]3, respectively; S202: Constructing a winding variable data pair corresponding to the state characteristics of the rotation sensor during the i-th maintenance of the vehicle under test and recorded as (STi, RBi), where STi represents the operating time of the vehicle under test from the last replacement of the rotation sensor to the i-th maintenance, and RBi represents the value of the winding variable corresponding to the state characteristics of the rotation sensor during the i-th maintenance of the vehicle under test, and RBi=max {D[i]1 - DM1, D[i]2 - DM2, D[i]2 - DM2}, and where max{} is a function operation for determining the maximum value, and where DM1, DM2, DM3 respectively represent the initial value of the excitation winding resistance value, the initial value of the sine winding resistance value, and the initial resistance value of the cosine winding resistance value corresponding to the last replaced rotation sensor of the vehicle under test; S203: Construct a planar rectangular coordinate system with o as the origin, with the vehicle's operating time as the x-axis, and with the value of the winding variable as the y-axis. Mark the corresponding coordinate points of the winding variable data pairs obtained in S202, which correspond to the different values ​​of i, in the planar rectangular coordinate system. Connect the marked adjacent coordinate points according to the order of the x-axis coordinate value from smallest to largest, and obtain a line graph of changes in the value of the winding variable with the vehicle's operating time. Use the function corresponding to the obtained line graph of changes in the value of the winding variable with the vehicle's operating time as the constructed relationship function of the winding variable with respect to the vehicle's operating time and record it as F(x), where the range of the value of x is recorded as [0, xm].and where xm is the total operating time of the vehicle during the last service of the vehicle under test.

[0018] The reference voltage of the excitation winding of the rotation sensor of the vehicle in the present embodiment refers to the fact that the measuring plug terminal should have an AC voltage of 3 to 3.5 V when the ignition switch is turned on; Sinusoidal winding resistance value: when the plug is unplugged, the measuring sensor terminal should have a resistance of 60Ω±10Ω, namely, the fluctuation range of the resistance value of the sinusoidal winding is [50,70]Ω, and the initial resistance value of the sinusoidal winding resistance value is greater than or equal to 50 Ω and less than or equal to 70 Ω; Cosine winding resistance value: when the plug is unplugged, the measuring sensor terminal should have a resistance of 60Ω±10Ω, namely, the fluctuation range of the cosine winding resistance value is [50,70]Ω, and the initial resistance value of the cosine winding resistance value is greater than or equal to 50 Ω and less than or equal to 70 Ω; Excitation winding resistance value: when the plug is unplugged, the measuring sensor terminal should have a resistance of 30Ω±10Ω, namely, the fluctuation range of the excitation winding resistance value is [20, 40]Ω, and the initial resistance value of the excitation winding resistance value is greater than or equal to 20 Ω and less than or equal to 40 Ω.

[0019] The method for obtaining the set of associated user vehicles of the vehicle to be tested in step S2 comprises the following steps: S211: Registering the user vehicles that have completed the replacement of the rotation sensor in the database, recording the relationship function of the winding variable with respect to the operation time of the vehicle from the k-th user vehicle that has completed the replacement of the rotation sensor to the time when the rotation sensor is not yet replaced as Fk (xk), recording the range of the value of xk as [0, xkm], where xkm represents the corresponding total operation time of the vehicle of the k-th user vehicle that has completed the replacement of the rotation sensor when the rotation sensor is replaced, and where the operation time of the vehicle is the duration of the corresponding vehicle in a starting state; S212: Determine a deviation state value between F(x) and Fk(xk) and record it as P [F(x),Fk(xk)] , P[F(x),Fk(xk)]={∫xL=0xL=min{xm,xkm}|Fk(xL)−F(xL)|dxL} / min{xm,xkm} where min {} represents the operation of finding the minimum value, Fk (xL) represents the result corresponding to Fk (xk) when the value of xk is xL, and F (xL) represents the result corresponding to F (x) when the value of x is xL; S213: if P [F(x),Fk(xk)] ≤ β and xkm > xm, the user vehicle corresponding to Fk(xk) is taken as the associated user vehicle of the vehicle under test, and conversely, the user vehicle corresponding to Fk(xk) is determined as not an associated user vehicle of the vehicle under test, and β is a preset deviation state threshold in the database; Recording a set formed by all associated user vehicles of the vehicle under test in the database as a set of associated user vehicles of the vehicle under test. S3: Combining the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the fluctuation intervals of the resistance values ​​corresponding to the respective windings of the rotation sensor, and obtaining the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test; introducing the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variables corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's service life, recording the average value of each service life in the obtained result as the effective service life of the rotation sensor in the vehicle under test; and wherein the method for obtaining the amount of change in the resistance value associated with the risk of circuit breakage due to impacts of the vehicle under test in step S3 comprises the following steps: S301: Acquiring the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the resistance variation intervals corresponding to each winding of the rotation sensor, wherein the resistance variation intervals corresponding to each winding of the rotation sensor are the resistance variation intervals preset in the database corresponding to each winding of the rotation sensor in the normal operating state; S302: Obtaining an amount of change in resistance value related to the risk of circuit breakage due to impacts of the vehicle under test and recording min{a1, a2}; where a1 represents the difference value between the maximum value in the corresponding resistance fluctuation interval of the obtained winding whose difference value between the corresponding excitation winding resistance value, sine winding resistance value and cosine winding resistance value at the current time and the corresponding initial resistance value is maximum, and the initial resistance value of the corresponding winding; and where a2 represents the resistance value affected by the circuit break, a2=bh×c, and where b represents a maximum winding resistance value n of the rotation sensor in operation of the rotation sensor before the replacement of the vehicle's rotation sensor in the historical data, which is the same as the winding corresponding to a1, minus the difference value between the initial values ​​of the corresponding windings of the rotation sensor in the vehicle under test, and where, in the present invention, it is preset that a rotation sensor cannot be operated when there is a short circuit or circuit break of the windings, and where h represents a resistance coefficient of noise due to shock, and c represents the noise characteristics and the usage information of the vehicle under test regarding the rotation sensor; and wherein the value of h is equal to the average value of the shock influence coefficients corresponding to the respective historical test data pairs, each test data pair corresponding to a shock influence coefficient; Recording any test data pair as (Ec, N), where the value of Ec is different in different test data pairs and Ec represents the disturbance characteristic of vehicle usage information related to the rotation sensor in the test data pairs; recording the winding corresponding to a1 in the operation of the rotation sensor before the replacement of the vehicle's rotation sensor in the historical data as W; where N is the average value of the corresponding resistance values ​​of the W-type winding before the influence of the disturbance characteristic Ec in the tests in which, after the influence of the disturbance characteristic Ec, the coil corresponding to the W-type winding in the vehicle's rotation sensor has a break, and where N <n ist; where (Ec, N) corresponds to a shock influence coefficient equal to (nN) / Ec; In the process of introducing the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variable corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's operating time, in step S3, the range of the value of each relationship function on the y-axis in the relationship function of the winding variable corresponding to the associated user vehicle with respect to the vehicle's operating time, into which the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test is introduced, is greater than or equal to the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test. S4: Obtaining a failure risk impact value of the rotation sensor in the vehicle under test at the current time based on the total usage time of the rotation sensor in the vehicle under test in the historical data and the effective lifetime of the rotation sensor in the vehicle under test; generating a rotation sensor replacement warning if the obtained failure risk impact value is less than the risk threshold, and sending the generated rotation sensor replacement warning to the mobile terminal of the user of the vehicle under test via a wireless communication network; and wherein the method for obtaining a failure risk impact value of the rotation sensor in the vehicle to be tested at the current time in step S4 comprises the following steps: S41: Recording the total duration SYT of use of the rotation sensor in the vehicle under test in the historical data and the effective lifetime YYT of the rotation sensor in the vehicle under test; S42: Obtaining a failure risk impact value of the rotation sensor in the vehicle under test at the current time and recording it as GFY, GFY=(YYT-SYT) / PYT, where PYT represents the average of the total time the vehicle under test is operated during two adjacent maintenance periods.

[0020] As in Fig. As shown in Figure 2, a data analysis-based system for performance testing of a rotary sensor comprises the following modules: a disturbance characteristic extraction module that acquires the vehicle usage information of a vehicle under test during two adjacent maintenance periods in the historical data and generates disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor, wherein the vehicle usage information includes the number of operations of the vehicle, the temperature value of the rotation sensor, and the vibration state value of the rotation sensor at different times during each operation of the vehicle; an associated user vehicle analysis module that acquires the state characteristics of the rotation sensor during each maintenance of the vehicle under test, constructs a relationship function of the winding variable with respect to the vehicle's service life, and analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the replacement of the rotation sensor in the database, and obtains a set of the associated user vehicles of the vehicle under test; a rotation sensor lifetime prediction module that combines the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the fluctuation intervals of the resistance values ​​corresponding to the respective windings of the rotation sensor, respectively, to obtain the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test, introduces the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variables corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's usage lifetime, and records the average values ​​of each usage lifetime in the obtained result as the effective lifetime of the rotation sensor in the vehicle under test; a fault risk warning module that obtains a fault risk impact value of the rotation sensor in the vehicle under test at the current time based on the total usage time of the rotation sensor in the vehicle under test in the historical data and the effective lifetime of the rotation sensor in the vehicle under test, and generates a warning notice for replacing the rotation sensor when the obtained fault risk impact value is less than the risk threshold, and sends the generated warning notice for replacing the rotation sensor to the mobile terminal of the user of the vehicle under test via a wireless communication network, wherein the wireless communication network includes one of 4G, 5G and WiFi.

[0021] The associated user vehicle analysis module includes a state property extraction unit, a winding variable function analysis unit, and a unit for generating a set of the associated user vehicles; wherein the state characteristic extraction unit acquires the state characteristics of the rotation sensor during each maintenance of the vehicle to be tested, and wherein the state characteristics include the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value; and wherein the winding variable function analysis unit constructs a relationship function of the winding variable with respect to the operating time of the vehicle, and wherein the winding variable corresponds to the maximum value of the differences between the excitation winding resistance value, the sine winding resistance value, the cosine winding resistance value, and their corresponding initial resistance values, and wherein the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value are different in the database; and wherein the associated user vehicle set generating unit analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the rotation sensor replacement in the database and obtains a associated user vehicle set of the vehicle to be tested.

[0022] The present invention relates to the technical field of performance testing of a rotation sensor, and more particularly to a data analysis-based system and method for performance testing of a rotation sensor; the system comprising an associated user vehicle analysis module that acquires the state characteristics of the rotation sensor during each maintenance of the vehicle under test, constructs a relationship function of the winding variable with respect to the service life of the vehicle, and analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the replacement of the rotation sensor in the database, and obtains a set of the associated user vehicles of the vehicle under test.Taking into account the user's use of the vehicle and the influence of temperature and shock on the rotation sensor during vehicle operation, the influences of the user's use of the vehicle on the performance of the rotation sensor are comprehensively analyzed to accurately predict the remaining service life of the rotation sensor and timely warn the vehicle user of faults.

[0023] It should be noted that the relational terms such as "first," "second," etc., used in the description only serve to distinguish one object or act from another, and do not necessarily require or imply that any such actual relationship or sequence exists between the objects or acts. Furthermore, the terms "comprising," "having," or other variations cover non-exclusive having, such that a process, method, object, or device comprising a series of elements includes both such elements and other elements not clearly listed or innate to that process, method, object, or device.

[0024] It should be noted that the above content represents only preferred embodiments of the present invention and does not serve to limit the present invention. Although the present invention is explained in more detail in connection with the above embodiments, those skilled in the art may still modify the technical solutions listed in the above embodiments or replace the technical features partially or completely with equivalents. All modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention should be considered to be within the scope of the present invention.

Claims

[1] Data analysis-based method for performance testing of a rotary sensor, characterized by that the procedure includes the following steps: S1: Acquiring vehicle usage information of a vehicle under test during two adjacent maintenance periods in the historical data, generating disturbance characteristics of the vehicle usage information of the vehicle under test with respect to a rotation sensor, wherein the vehicle usage information includes the number of operations of the vehicle, the temperature value of the rotation sensor, and the vibration state value of the rotation sensor at different times during each operation of the vehicle; S2: Recording the state characteristics of the rotation sensor during each maintenance of the vehicle under test, wherein the state characteristics include an excitation winding resistance value, a sine winding resistance value, and a cosine winding resistance value; constructing a relationship function of the winding variable with respect to the operating time of the vehicle, wherein the winding variable corresponds to the maximum value of the differences between the excitation winding resistance value, the sine winding resistance value, the cosine winding resistance value, and their corresponding initial resistance values, and wherein the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value are different in the database;Analyzing the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the rotation sensor replacement in the database and obtaining a set of the corresponding user vehicles of the vehicle under test; S3: Combining the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the fluctuation intervals of the resistance values ​​corresponding to the respective windings of the rotation sensor, and obtaining the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test; introducing the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variables corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's service life, recording the average value of each service life in the obtained result as the effective service life of the rotation sensor in the vehicle under test; S4: Obtaining a failure risk impact value of the rotation sensor in the vehicle under test at the current time based on the total usage time of the rotation sensor in the vehicle under test in the historical data and the effective lifetime of the rotation sensor in the vehicle under test; generating a rotation sensor replacement warning if the obtained failure risk impact value is less than the risk threshold, and sending the generated rotation sensor replacement warning to the mobile terminal of the user of the vehicle under test via a wireless communication network; wherein the vibration state value of the rotation sensor at different times in the vehicle usage information is equal to the monitoring result of the vibration sensor, which is closest to the rotation sensor at the corresponding time; and wherein the method for generating disturbance characteristics of the usage information of the vehicle to be tested with respect to the rotation sensor in step S1 comprises the following steps: S11: Collect vehicle usage information of the vehicle to be tested during the i-th maintenance and the i+1-th maintenance in the historical data, record it as 'A( i, i+1 ), recording the time interval of the j-th operation of the vehicle in 'A( i,i+1 ) as Bj( i,i+1 ), Record the temperature value of the rotation sensor corresponding to time t in Bj( i,i+1 ) as Ttj(i, i+1 ), Recording the vibration state value of the rotation sensor corresponding to time t in Bj( i,i+1 ) as Ztj( i,i+1 ), where t ∈ Bj( i,i+1 ) is; S12: Obtain the value of the disturbance influence generated by the operating environment on the rotation sensor during the j-th operation of the vehicle during the i-th maintenance and the i+1-th maintenance of the vehicle under test and record it as Gj ( i, i+1 ), Gj(i,i+1)=∫t=t1t=t2F{Ttj(i,i+1),Tb}×Ztj(i,i+1)dt where t1 is the minimum value in Bj( i,i+1 ), t2 the maximum value in Bj( i,i+1 ) and Tb represents the preset temperature reference value in the database, if Ttj(i,i+1)≥Tb, F{Ttj(i,i+1),Tb}=g×(Ttj(i,i+1)−Tb)+r, if Ttj(i,i+1) <Tb ist, ist F{Ttj(i,i+1),Tb}=g1×(Tb−Ttj(i,i+1))+r, where g represents a first disturbance conversion coefficient, g1 a second disturbance conversion coefficient and r a temperature disturbance threshold, and where g, g1 and r are each preset constants in the database; S13: sequentially recording the obtained respective values ​​of the disturbance influences generated by the corresponding operating environment of the vehicle under test with respect to the rotation sensor when i is a different value and j is a different value in the historical data in an empty set to obtain a disturbance influence set; and using the item corresponding to the largest disturbance influence value in the obtained disturbance influence set as the disturbance characteristic of the usage information of the vehicle under test with respect to the rotation sensor; wherein the method for constructing a relationship function of the winding variable with respect to the operating time of the vehicle in step S2 comprises the following steps: S201: Acquiring the state characteristics of the rotation sensor during each maintenance of the vehicle under test, recording the excitation winding resistance value, the sine winding resistance value and the cosine winding resistance value in the state characteristics of the rotation sensor at the i-th maintenance of the vehicle under test as D[i]1, D[i]2 and D[i]3, respectively; S202: Constructing a winding variable data pair corresponding to the state characteristics of the rotation sensor during the i-th maintenance of the vehicle under test and recorded as (STi, RBi), where STi represents the operating time of the vehicle under test from the last replacement of the rotation sensor to the i-th maintenance, and RBi represents the value of the winding variable corresponding to the state characteristics of the rotation sensor during the i-th maintenance of the vehicle under test, and RBi=max {D[i]1-DM1, D[i]2-DM2, D[i]2-DM2}, and where max{} is a function operation for determining the maximum value, and where DM1, DM2, DM3 respectively represent the initial value of the excitation winding resistance value, the initial value of the sine winding resistance value and the initial resistance value of the cosine winding resistance value corresponding to the last replaced rotation sensor of the vehicle under test; S203: Construct a planar rectangular coordinate system with o as the origin, the vehicle operating time as the x-axis, and the value of the winding variable as the y-axis. Mark the corresponding coordinate points of the winding variable data pairs obtained in S202, which correspond to the different values ​​of i, in the planar rectangular coordinate system. Connect the marked adjacent coordinate points according to the order of the x-axis coordinate value from smallest to largest, and obtain a line graph of changes in the value of the winding variable with the vehicle operating time. Use the function corresponding to the obtained line graph of changes in the value of the winding variable with the vehicle operating time as the constructed relationship function of the winding variable with respect to the vehicle operating time and record it as F(x). where the range of the value of x is recorded as [0, xm], and where xm represents the total vehicle operating time during the last service of the vehicle under test; and wherein the method for obtaining the set of associated user vehicles of the vehicle to be tested in step S2 comprises the following steps: S211: Record the user vehicles in the database that have completed the replacement of the rotation sensor, record the relationship function of the winding variable with respect to the vehicle operating time of the k-th user vehicle that has completed the replacement of the rotation sensor to the time when the rotation sensor has not yet been replaced as Fk (xk), record the range of the value of xk as [0, xkm], where xkm represents the corresponding total operating time of the vehicle of the k-th user vehicle that has completed the replacement of the rotation sensor when the rotation sensor is replaced, and wherein the operating time of the vehicle is the duration of the corresponding vehicle in a starting state; S212: Determine a deviation state value between F(x) and Fk(xk) and record it as P [F(x),Fk(xk)] , P[F(x),Fk(xk)]={∫xL=0xL=min{xm,xkm}Fk(xL)−F(xL)dxL} / min{xm,xkm}, where min{} represents the operation of finding the minimum value, Fk (xL) represents the result corresponding to Fk (xk) when the value of xk is xL, and F (xL) represents the result corresponding to F (x) when the value of x is xL; S213: if P [F(x),Fk(xk)]≤ β and xkm > xm, the user vehicle corresponding to Fk(xk) is taken as the associated user vehicle of the vehicle under test, and conversely, the user vehicle corresponding to Fk(xk) is determined as not being an associated user vehicle of the vehicle under test, and β is a preset deviation state threshold in the database; recording a set formed by all associated user vehicles of the vehicle under test in the database as a set of associated user vehicles of the vehicle under test; and wherein the method for obtaining the amount of change in the resistance value associated with the risk of circuit breakage due to impacts of the vehicle under test in step S3 comprises the following steps: S301: Acquiring the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the resistance variation intervals corresponding to each winding of the rotation sensor, wherein the resistance variation intervals corresponding to each winding of the rotation sensor are the resistance variation intervals preset in the database corresponding to each winding of the rotation sensor in the normal operating state; S302: Obtaining an amount of change in resistance value related to the risk of circuit breakage due to impacts of the vehicle under test and recording min{a1, a2}; where a1 represents the difference value between the maximum value in the corresponding resistance fluctuation interval of the obtained winding whose difference value between the corresponding excitation winding resistance value, sine winding resistance value and cosine winding resistance value at the current time and the corresponding initial resistance value is maximum, and the initial resistance value of the corresponding winding; and where a2 represents the resistance value affected by the circuit break, a2=bh×c, and where b represents a maximum winding resistance value n of the rotation sensor in operation of the rotation sensor before the replacement of the vehicle's rotation sensor in the historical data, which is the same as the winding corresponding to a1, minus the difference value between the initial values ​​of the corresponding windings of the rotation sensor in the vehicle under test, h represents a resistance coefficient of the disturbances due to shocks, and c represents the disturbance characteristics and the usage information of the vehicle under test regarding the rotation sensor; and wherein the value of h is equal to the average value of the shock influence coefficients corresponding to the respective historical test data pairs, each test data pair corresponding to a shock influence coefficient; Recording any test data pair as (Ec, N), where the value of Ec is different in different test data pairs and Ec represents the disturbance characteristic of vehicle usage information related to the rotation sensor in the test data pairs; recording the winding corresponding to a1 in the operation of the rotation sensor before the replacement of the vehicle's rotation sensor in the historical data as W; where N is the average value of the corresponding resistance values ​​of the W-type winding before the influence of the disturbance characteristic Ec in the tests in which, after the influence of the disturbance characteristic Ec, the coil corresponding to the W-type winding in the vehicle's rotation sensor has a break, and where N <n ist; where (Ec, N) corresponds to a shock influence coefficient equal to (nN) / Ec; and wherein the method for obtaining a failure risk impact value of the rotation sensor in the vehicle to be tested at the current time in step S4 comprises the following steps: S41: Recording the total duration SYT of use of the rotation sensor in the vehicle under test in the historical data and the effective lifetime YYT of the rotation sensor in the vehicle under test; S42: Obtaining a failure risk impact value of the rotation sensor in the vehicle under test at the current time and recording it as GFY, GFY=(YYT-SYT) / PYT, where PYT represents the average of the total time the vehicle under test is operated during two adjacent maintenance periods. [2] A data analysis-based method for testing the performance of a rotation sensor according to claim 1, characterized bythat the temperature values ​​of the rotation sensor at different times in the vehicle usage information are recorded by a temperature sensor that is closest to the rotation sensor. [3] A data analysis-based method for testing the performance of a rotation sensor according to claim 1, characterized bythat in the process of introducing the amount of change in the resistance value related to the risk of electric circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variable corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the operating time of the vehicle, in step S3, the range of the value of each relationship function on the y-axis in the relationship function of the winding variable corresponding to the associated user vehicle with respect to the operating time of the vehicle, into which the amount of change in the resistance value related to the risk of electric circuit breakage due to impacts of the vehicle under test is introduced, is greater than or equal to the amount of change in the resistance value related to the risk of electric circuit breakage due to impacts of the vehicle under test. [4] A data analysis-based system for performance testing of a rotation sensor, the system being implemented using a data analysis-based method for performance testing of a rotation sensor according to any one of claims 1 to 3, characterized by that the system includes the following modules: a disturbance characteristic extraction module that acquires the vehicle usage information of a vehicle under test during two adjacent maintenance periods in the historical data and generates disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor, wherein the vehicle usage information includes the number of operations of the vehicle, the temperature value of the rotation sensor, and the vibration state value of the rotation sensor at different times during each operation of the vehicle; an associated user vehicle analysis module that acquires the state characteristics of the rotation sensor during each maintenance of the vehicle under test, constructs a relationship function of the winding variable with respect to the vehicle's service life, and analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the replacement of the rotation sensor in the database, and obtains a set of the associated user vehicles of the vehicle under test; a rotation sensor lifetime prediction module that combines the disturbance characteristics of the usage information of the vehicle under test regarding the rotation sensor and the fluctuation intervals of the resistance values ​​corresponding to the respective windings of the rotation sensor, respectively, to obtain the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test, introduces the amount of change in the resistance value related to the risk of circuit breakage due to impacts of the vehicle under test into the relationship function of the winding variables corresponding to the respective associated user vehicles in the set of associated user vehicles of the vehicle under test with respect to the vehicle's usage lifetime, and records the average values ​​of each usage lifetime in the obtained result as the effective lifetime of the rotation sensor in the vehicle under test; a fault risk warning module that obtains a fault risk impact value of the rotation sensor in the vehicle under test at the current time based on the total usage time of the rotation sensor in the vehicle under test in the historical data and the effective lifetime of the rotation sensor in the vehicle under test, and generates a warning notice for replacing the rotation sensor when the obtained fault risk impact value is less than the risk threshold, and sends the generated warning notice for replacing the rotation sensor to the mobile terminal of the user of the vehicle under test via a wireless communication network, wherein the wireless communication network includes one of 4G, 5G and WiFi. [5] A data analysis-based system for testing the performance of a rotation sensor according to claim 4, characterized bythat the associated user vehicle analysis module comprises a state property extraction unit, a winding variable function analysis unit, and a unit for generating a set of the associated user vehicles; and wherein the state characteristic extraction unit acquires the state characteristics of the rotation sensor during each maintenance of the vehicle to be tested, the state characteristics including the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value; and wherein the winding variable function analysis unit constructs a relationship function of the winding variable with respect to the operating time of the vehicle, and wherein the winding variable corresponds to the maximum value of the differences between the excitation winding resistance value, the sine winding resistance value, the cosine winding resistance value, and their corresponding initial resistance values, and wherein the excitation winding resistance value, the sine winding resistance value, and the cosine winding resistance value are different in the database; and wherein the associated user vehicle set generation unit analyzes the deviation between the obtained relationship function and a relationship function corresponding to a user vehicle that has undergone the rotation sensor replacement in the database and obtains a set of associated user vehicles of the vehicle under test.

Images