METHOD FOR PROCESSING MEASURED VALUES

Description

[0001] The invention relates to a method for processing measured values.

[0002] The invention relates to a method for processing measured values, wherein the method comprises the following steps: Providing a sensor, wherein the sensor is intended for measuring a physical quantity of a tire; providing a tire; arranging the sensor in the tire; acquiring measured values ​​of the physical quantity by means of the sensor; determining a measurement time at which the physical quantity has been measured, wherein the measurement time can be uniquely assigned to a measured value; providing a transmission unit, wherein the transmission unit is intended for transmitting measured values ​​and measurement times; transmitting the measured values ​​and information about the measurement times to a storage unit by means of the transmission unit.

[0003] The sensor is, for example, a temperature sensor, a pressure sensor, an acceleration sensor, wherein the acceleration sensor is particularly suitable for measuring a radial acceleration of a tire or the measurement of a tangential acceleration of a tire or the measurement of a lateral acceleration of a tire, or a deformation sensor.

[0004] The tire in question could be, for example, a truck tire, a passenger car tire, or a two-wheeler tire: Methods for processing measurement data that occur in connection with the operation of tires are already known. For example, such methods are described in US2016167446 A1, US2020056983A1, and GB2429819A. , the US20130304416 A1 or the EP3088219A revealed.

[0005] The storage unit is, for example, a database.

[0006] With known methods for processing measured values, it is possible that a measured value might be evaluated that is neither meaningful nor typical for the measurement. For example, the measured value might not be meaningful or typical because of a sensor malfunction or an unknown technical influence on the measurement process. Further processing of these measured values ​​could then be faulty and thus lead to an unsuitable method.

[0007] The invention is therefore based on the objective of providing a method for processing measured values ​​that can be applied more reliably and in which the possibility of evaluating erroneous measured values ​​is reduced. (claim 1)

[0008] Due to the inventive feature, measured values ​​are always processed taking into account previously acquired measured values. An atypical deviation of a measured value from an expected trend is thus more easily detected by considering the previously acquired measured values. For example, by considering the previously acquired measured values, a malfunction of the

[0009] inferences may be drawn about sensors or about a physical influence on the measurement process that was not initially taken into account.

[0010] This provides an improved method for processing measured values, reducing the possibility of incorrect processing of measured values.

[0011] Further advantageous embodiments of the present invention are the subject of the dependent claims.

[0012] This method can compensate for or minimize possible fluctuations in the measured quantity due to physical limitations of the measurements or measurement inaccuracies.

[0013] According to a further preferred embodiment of the present invention, an average value of all measured values ​​recorded within the moving measurement interval is formed.

[0014] Due to the inventive circumstance whereby an average value of all measured values ​​recorded within the moving measurement interval is formed, fluctuations can be compensated for and a value can be obtained that comes sufficiently close to the expected value.

[0015] According to a further preferred embodiment of the present invention, a median of all measured values ​​recorded within the moving measurement interval is formed.

[0016] Due to the inventive feature whereby a median of all measured values ​​acquired within the moving measurement interval is calculated, fluctuations can be smoothed out and a value obtained that comes sufficiently close to the expected value. The method is also sufficiently stable against individual outliers in the measurements.

[0017] According to the present invention, the measured values ​​are smoothed using a Butterworth filter.

[0018] Due to the inventive circumstance whereby the measured values ​​are smoothed by means of a Butterworth filter, fluctuations above a threshold frequency of these fluctuations can be suppressed quite reliably, and fluctuations below this threshold frequency are only slightly altered, so that a sufficiently accurate distinction can be made between undesirable fluctuations due to measurement inaccuracy and fluctuations due to the behavior of the tire that are to be determined.

[0019] According to a further preferred embodiment of the present invention, the measured values ​​within the sliding measurement interval are each representative measured values, wherein the sliding measurement interval is divided into a plurality of sub-intervals and a representative measured value is generated for each sub-interval.

[0020] According to a further preferred embodiment of the present invention, the representative measured value is the mean value of the measured values ​​recorded during a sub-interval, or the representative measured value is the median value of the measured values ​​recorded during a sub-interval, or the representative measured value is the minimum value of the measured values ​​recorded during a sub-interval, or the representative measured value is the maximum value of the measured values ​​recorded during a sub-interval.

[0021] Pressure refers specifically to the pressure inside a tire. Temperature refers specifically to the temperature inside a tire.

[0022] According to a further preferred embodiment of the present invention, the length of the sliding measurement interval is in particular one day or, in the case where the physical quantity measured is a temperature, a sliding measurement interval of 2 minutes to 15 minutes.

[0023] According to a further preferred embodiment of the present invention, a time-based analysis of the recorded measured values ​​is performed. According to a further preferred embodiment of the present invention...

[0024] According to the invention, a possible pressure loss and in particular a degree of possible pressure loss is determined as a function of time series analysis.

[0025] Further features, advantages and details, to which the scope of the invention is not limited, will now be described in more detail with reference to the drawings.

[0026] It shows: Fig. 1 : A schematic representation of a sensor and a tire for carrying out the method according to the invention; Fig. 2 : A schematic representation of the time course of measured values ​​of a measured quantity.

[0027] In the Figure 1 A sensor 1 and a tire 2 are shown schematically. The tire 2 is shown in radial section view and can be rotated about an axis of rotation 3 in a direction of rotation 4. The tire 2 has an inner tire cavity 5.

[0028] According to the Figure 1 In the illustrated embodiment, the sensor 1 is arranged in the tire interior 5 of the tire 2.

[0029] In particular, a transmission unit 6 is arranged on the tire 2, wherein the transmission unit 6 is provided for the transmission of measured values ​​and measurement times to a storage unit 7.

[0030] In the Figure 2 A schematic representation of the time course of measured values ​​of a quantity M is shown. The measured values ​​M of the quantity are plotted on the ordinate against time t on the abscissa. The quantity M can be a physical quantity such as the temperature prevailing in the interior 5 of tire 2, the pressure prevailing in the interior 5 of tire 2, the radial acceleration of tire 2, the tangential acceleration of tire 2, or the lateral acceleration of tire 2.

[0031] The circle symbols K represent the individual measured values ​​of the physical quantity at the respective measurement times.

[0032] The X symbols represent the mean values ​​of all moving measurement intervals up to the current time.

[0033] The rectangle R shows a sliding measurement interval for the measurement point K L. Reference symbol list

[0034] 1 Sensor 2 Tire 3 Rotation axis 4 Direction of rotation 5 Tire interior 6 Transmission unit 7 Storage unit

Claims

1. Method for processing measured values, having the following steps: - providing a sensor (1), wherein the sensor (1) is provided for measuring a physical measurement variable of a tyre (2); - providing a tyre (2); - arranging the sensor (1) in the tyre (2); - capturing measured values of the physical measurement variable by means of the sensor (1), wherein the physical measurement variable is a temperature or a pressure of the tyre (2); - determining a measurement time at which the physical measurement variable has been measured, wherein the measurement time can be uniquely assigned to a measured value; - providing a transmission unit (6), wherein the transmission unit (6) is provided for transmitting measured values and measurement times; - transmitting the measured values and information relating to the measurement times to a memory unit (7) by means of the transmission unit (6); - always processing a measured value taking into account temporally previously captured measured values, characterized by the further step of: - specifying a floating measurement interval of constant temporal length, wherein a most recent measured value captured within the floating measurement interval is, if at least one further measured value is also captured within the floating measurement interval, always processed taking into consideration all other measured values captured within the floating measurement interval, - and in that the measured values are smoothed using a Butterworth filter.

2. Method according to Claim 1, characterized in that an average value of all measured values captured within the floating measurement interval is formed.

3. Method according to Claim 1, characterized in that a median of all measured values captured within the floating measurement interval is formed.

4. Method according to one of Claims 1 to 3, characterized in that the measured values within the floating measurement interval are each representative measured values, wherein the floating measurement interval is divided into a plurality of sub-intervals and a representative measured value is generated for each sub-interval.

5. Method according to the preceding claim, characterized in that the representative measured value is the average value of the measured values captured during a sub-interval, or the representative measured value is the median value of the measured values captured during a sub-interval, or the representative measured value is the minimum value of the measured values captured during a sub-interval, or the representative measured value is the maximum value of the measured values captured during a sub-interval.

6. Method according to one of the preceding claims, characterized in that the length of the floating measurement interval is in particular 1 day or, if the physical measurement variable is a temperature, the length of the floating measurement interval is 2 minutes to 15 minutes.

7. Method according to one of the preceding claims, characterized in that a time series analysis of the captured measured values is carried out.

8. Method according to the preceding claim, characterized in that, if the physical measurement variable is a pressure in an interior (5) of the tyre (2), a possible pressure loss and in particular a degree of a possible pressure loss are determined on the basis of the time series analysis.