Patent Application
20240383512
The invention relates to a computer-implemented method of generating measurement data describing a railway network or a vehicle travelling on a track, wherein measurement values are determined using a sensor arranged on the vehicle or on the track.
The term railway network may essentially be understood to mean the railbed and track with rails and sleepers including points, catenary, masts and other equipment. The term railway network may also include the environment of the railbed and track. The answer to the question of how to define the term railway network may also be a potential measurement space, which measurement space involving a sensor can be described by the measurement values determined using said sensor.
The term vehicle includes any vehicle which can be moved on the track. The vehicle may be an engine, a carriage, a measuring coach or a measuring wheel, for example.
The vehicle may also be movable on a path not defined by the track. The vehicle may be a drone, a flying object or a car driving on a road, for example.
The sensor may be arranged so as to be either stationary on the track or non-stationary on the vehicle.
A sensor arranged on the track detects measurement values which describe a current condition of the track or a condition of the track over a measurement timespan. A sensor arranged on the track may determine measurement values describing a deformation and/or acceleration and/or power condition of the track as well as part of the track such as a rail, for example. A sensor arranged on the vehicle may determine measurement values describing an accelerating condition and/or an operating condition such as the energy consumption of the vehicle as well as part of the vehicle, for example. The measurement values given herein as examples are by no means to be construed as limiting.
A person of skill in the art is able to select a suitable sensor to determine a desired measurement value of the track or the vehicle or part of the track or vehicle, respectively.
The inventive method is generally also applicable to measurement values generated by multiple sensors.
The invention disclosed herein faces the technical object of providing a method of generating synchronized measurement values. In particular, the invention disclosed herein faces the technical object of providing a method of generating measurement values synchronized over time and/or over a location. Comparability of the measurement values is hereby achieved. Unambiguous and sufficiently accurate allocation of measurement values to a measurement location is deemed possible with the aid of this method.
The solution of the inventive method is that the measurement values are linked to a single time value and/or to a position value. This solution may be achieved in various ways, which are described below.
The solution presented below provides that the measurement values generated by a sensor at a time t be linked to a single time value specified by a single computation unit.
When applying the inventive method to multiple sensors, a single time value specified by a computation unit is linked to the measurement values generated by the sensors at a time t.
The description that a single time value describing a time t is present is understood to mean that, in the inventive method, a time t is described by a single time value. The time value can be increased by time increments for describing a timespan, wherein only a single time value is present at any time t+1. A time t is described by a single time value, while other times t+1 or t−1 are described by other single time values. Said single time values are issued by a single computation unit.
According to the invention, this is achieved by a single time value describing a time t being requested from a computation unit arranged on the vehicle by a sensor computation unit in communication with the sensor and the time value being transmitted to the sensor computation unit from the computation unit, wherein the single time value describing the time t is assigned to a measurement value in the sensor computation unit, so that the time value describes a measurement time or a measurement position, respectively, and measurement data including the measurement value and the time value is stored in a database.
Unlike methods of prior art, the basic technical solution of the inventive method provides that no sensor time values specified by the individual sensor be processed as relevant time values. In prior art, the sensor time values are not sufficiently accurate because the sensor measurement values of prior art are linked not to selected but essentially to arbitrary, inexplicable time values or subject to variation due to the operation of the sensor.
In particular when performing measurements with a plurality of sensors, processing a plurality of sensor time values describing a time t, which sensor time values are specified by an individual sensor or by groups of sensors, may cause measurement values which are in reality generated at the same time to enter into a method as measurement values generated at different times because the sensor time values issued by the individual sensors are different.
The inventive solution provides that the measurement values be linked to a single time value specified by the computation unit that describes a time t. The skilled person is able to conceive of a computation unit such that the time values issued by the optionally one computation unit are sufficiently accurate. A sufficiently accurate design of the generation of the individual sensor time values would be a laborious, downright unfeasible procedure as compared to the sufficiently accurate design of the single time value issued by the computation unit. The inventive method thus has the technical effect of efficiency.
The above description of the advantageous effect of the inventive method essentially relates to a vehicle having a computation unit. The technical effect of efficiency is also achievable in a broader sense when multiple vehicles are present and a computation unit is arranged on each vehicle. The advantageous efficiency may also be achieved, for example, by only a certain number of computation units having to be controlled for the same number of vehicles such that a sufficiently accurate issuance of time values takes place. The measurement data generated with the individual vehicles and that generated by the individual computation units is comparable.
According to common science, a position in a railway network is also determinable via a time value t. Linking a measurement value to a single time value t sufficiently accurately describing a time t allows sufficiently accurate determination of the measurement position. Optionally, said positional determination may be verified by further methods of prior art using, among other things, the time value.
Linking the time value to the measurement value may be such that the sensor computation unit controlling the sensor optionally requests the single time value from the computation unit and links said time value to the measurement value after transmitting the single time value from the computation unit to the sensor computation unit.
The measurement value generated is a value which is independent of the sensor time value optionally generated by the sensor. A method downstream of the inventive method may be characterized in that only time values specified by the computation unit are processed.
By issuing the single time value by the computation unit and linking the measurement values to the single time value, synchronization of the measurement values can be achieved.
When considering one sensor, synchronization of the measurement values at the individual times of a timespan including said times may be achieved.
When considering multiple sensors, synchronization of the determination of a first measurement value determined by a first sensor and the determination of a second measurement value determined by a second sensor can be achieved. Furthermore, the first measurement value and the second measurement value, which measurement values are determined at a time t described by the single time value, are comparable.
Furthermore, the inventive method is not limited to sensors which issue a sensor time value with the measurement value. The inventive method may be performed independently of a sensor's feature of issuing sensor time values.
According to common science, sensors are known which issue a sensor time value in addition to the measurement value. This sensor time value may not be sufficiently accurate for processing railway-specific applications, which is why linking the measurement value to a time value generated by the computation unit is proposed. The sensor time value generated by the sensor is generally irrelevant when applying the inventive method. The sensor time value may be deleted when performing the inventive method. However, the measurement data may also include the sensor time value.
In any case, the inventive method is characterized by high efficiency. Rather than the individual sensor time values being synchronized the measurement values are linked to a single time value centrally specified by a computation unit that describes a time t, so that the step of synchronizing the sensor time values may be omitted.
The advantageous effect of the inventive method will now be described based on the example of determining the position of a vehicle in a rail network. The skilled person may achieve this advantageous effect also by application to other sensors as sensors for positional determination to achieve the same advantageous effect for the operation of the other sensors.
According to common science, the position of a vehicle in a rail network can be determined by multiple sensors. The individual position values determined via the individual sensors or the individual position values derivable from the individual measurement values are matched among one another by applying methods of prior art to thereby be able to determine the position of the vehicle with sufficient accuracy. However, these methods are not sufficiently accurate since the methods of prior art are all based on localization using the individual sensor time values of the individual sensors. Typically, the individual sensor time values exhibit time differences which make the prior-art methods of localization inaccurate.
A potential application of the inventive method for localizing a vehicle is to assign the measurement values, which are determined using sensors for positional determination, a single time value, which single time value is specified by the computation unit. All measurement values for positional determination, which measurement values are determined by multiple sensors or else by one sensor, are thus assigned a single time value. With reference to the discussion herein, allocation of a single time value includes the generation of measurement values at a time t, which time in the inventive method is defined only by the single time value.
When using one sensor, it is guaranteed that measurement values are determined using said one sensor at the times t, t+n, with n being 1, 2, 3, . . . , specified by the computation unit. When using multiple sensors, the time difference described above is prevented.
Localization of the vehicle may be performed more accurately by applying the inventive method.
The inventive solution may also be achieved by a single position value describing a position being requested from a computation unit arranged on the vehicle by a sensor computation unit in communication with the sensor and said position value being transmitted from the computation unit to the sensor computation unit, wherein a measurement value is assigned to the position value in the sensor computation unit, so that the position value describes a measurement position and measurement data including the measurement value and the time value and/or the position value and/or the measurement pattern is stored.
According to common science, various methods of determining a position in a railway network are known, which methods deliver position data in various forms. The determination of position data is not part of the inventive method. In this respect, reference is made to the relevant prior art.
In a similar manner as with the single time value mentioned above, the single position value describes a single position. Further single position values describe further single positions.
In analogy to the single time value, the measurement value may be linked to a single position value, which position value is specified by the computation unit. The problem underlying the invention disclosed herein as described above is thereby solved in an equivalent manner.
The operator may read together the methods described above of linking the measurement value or values to a single time value or a single position value, respectively. The measurement data thus generated may include one measurement value or multiple measurement values, a time value and a position value.
The above linking of a measurement value or multiple measurement values to a single time value is designed such that this single time value is assigned to a measurement value determined at a time t described by a single time value. Additionally or alternatively, a measurement value or multiple measurement values may be assigned a single position value describing a position.
According to common science, determining measurement values at times t1, t2 . . . tn (n=1, 2, 3, . . . ) or measurement positions can be described by a measurement pattern.
The inventive solution may be achieved by a single measurement pattern being requested from a computation unit arranged on the vehicle by a sensor computation unit in communication with the sensor and said measurement pattern being transmitted from the computation unit to the sensor computation unit, wherein measurement values are assigned to the measurement pattern in the sensor computation unit, so that the measurement pattern describes a measurement time or a measurement position and measurement data including the measurement value and the time value and/or the position value and/or the measurement pattern is stored.
A measurement pattern may include information revealing at which times t1, t2 . . . tn (n=1, 2, 3, . . . ) and/or at which locations a measurement value is determined by the sensor. It is achieved by the central specification of a single measurement pattern by the computation unit that a measurement value by the sensor or measurement values by the sensors are generated following only the one single measurement pattern. This involves that only measurement data which includes only a measurement value or values generated according to the single measurement pattern is deposited in a database.
The above description includes the method step of a single time value and/or a single position value and/or a single measurement pattern being requested from the computation unit by the sensor computation unit. This method step may be omitted.
Using methods of prior art, the position of a vehicle on a track may be determined with sufficient accuracy through the time values and/or the position values. Determining the position of the computation unit may be determinable with sufficient accuracy in particular when determination of the position of the vehicle is performed by the same computation unit and the processed time value is sufficiently accurate. The latter is achievable and thus creatable by having the computation unit issue the time value. Specification of the single time value and/or the single position value and/or the single measurement pattern by a computation unit and positional determination by another computation unit could cause easily avoidable inaccuracy as operational variations or latency between the computation units employed might occur.
The inventive method has the technical effect of the position of the sensor and thus the measurement position where the measurement is performed being determinable with sufficient accuracy since this positional determination is done through values or mathematical functions issued by the computation unit, in particular through the time value and/or position value and/or measurement pattern issued by the computation unit.
The time value and/or position value and/or pattern specified by the computation unit are independent of a sensor's timing.
The inventive method may be characterized in that the time value is generated based on a network protocol such as, for example, Network Time Protocol (NTP), Precision Time Protocol (PTP) or according to a specified time format.
The single time value may be present in various time formats, wherein the single time is centrally specified in the various formats by the computation unit. The step described above of requesting the time value implies that the sensor computation unit requests the time value in the required time format.
The inventive method may be characterized in that the measurement data includes a unified time format.
The measurement data may be stored with a time value in the format mentioned above. Converting the time format included in the measurement data into a unified time format has not influence on the effects of the inventive method described above, since the time value is not altered by the time format change.
The inventive method may be characterized in that the position value is relative position information and/or absolute position information and/or position information established based on applicable standards in the network of tracks.
The inventive method may be characterized in that the measurement pattern includes information on the determination of measurement values per timespan or information on the measurement locations at which the measurement values are determined or information on the determination of measurement values in a distance travelled by the vehicle.
The measurement pattern may include a mathematical function for the time values and/or positions at which the measurement values are determined. In this case, the time values and/or positions are centrally specified by the computation unit. A single time value or position, respectively, is present.
The inventive method may be characterized in that the single time value is matched with a reference time value at a time t, and a time difference between the time value and the reference time value is minimized by a change in time increments of the time value following the time t made within a matching timespan and is continuous according to mathematics.
The method proposed herein of matching the time value and the reference time value and further adapting the time value and the reference time value may generally be performed independently of the above described linking the measurement value or values to a single time value or a single position value or a single measurement pattern, respectively. The method of matching the time value and the reference time value and further adapting the time value and the reference time value is executable as a distinct method.
The reference time value may be defined by the atomic clock. According to common science, the atomic clock may be queriable through data communication means. Since such a query is not possible at all locations of a railway network, permanent matching between the time value and atomic time is not possible. Therefore, a time difference might result. Adapting the time value in a matching timespan is explained below based on a figure in the description of the figures.
The inventive method may be characterized in that the change of the time increments is linear or follows a mathematical function. Methods of prior art may be applied.
Independently of the method described above of generating synchronized measurement values, the inventive method may also be characterized in that a sensor ID is read from the sensor by the sensor computation unit and said sensor ID is transmitted to the computation unit.
Reading the sensor ID and transmitting the sensor ID to the computation unit can be performed as an independent method. It may prevent that sensors are swapped by unauthorised individuals.
The inventive method may be characterized in that improved measurement values are generated out of first measurement values, which are determined by a first sensor, and second measurement values, which are determined by a second sensor, which improved measurement values are determined by an average of the first measurement values and the second measurement values or by interpolation of the first measurement values and the second measurement values.
The inventive method may be characterized in that improved measurement data is generated out of first measurement data, which first measurement data includes measurement values generated by a first sensor at a time specified by a unified time format, and second measurement data, which second measurement data includes measurement values generated by a second sensor at a time specified by a unified time format, which improved measurement data is determined by an average of the first measurement data and the second measurement data or by interpolation of the first measurement data and the second measurement data.
The mentioned first sensor and the mentioned second sensor may be different sensors.
The mentioned first sensor and the mentioned second sensor may relate to the same sensor, which sensor, for example, determines measurement values at different times. With reference to known methods, the first sensor and the second sensor may relate to the same sensor in particular on calibration runs.
The above method step may also relate to the comparison of first measurement values or first measurement data with second measurement values or second measurement data, respectively, with the measurement values or measurement data, respectively, being determined through different measurement methods or systems.
Generally, the improved measurement data is generated out of the first measurement data and the second measurement data, with an optional difference between the first measurement data and the second measurement data being interpolated or smoothed out using mathematical methods known in prior art. The simplest form of such mathematical smoothing is forming an average of the two measurement values without considering the individual measurement values. To this averaging may be added a first weighting of the first measurement value and a second weighting of the second measurement value.
The inventive method may be characterized in that the measurement values are matched with reference measurement values which describe a reference object, and the measurement values are assigned to reference object while determining a similarity measure.
The above term of measurement values may be understood as the measurement value or values at a time and/or as the temporal or spatial development of the measurement values within a timespan. The temporal or spatial development of the measurement values within a timespan may be described using a mathematical function, which may be determined by applying common science.
The inventive method may be characterized in that a centrally specified time value or a centrally specified position value is assigned to the measurement value or values (or vice versa). The inventive method may be characterized in that multiple measurement values are assigned to multiple centrally specified time values or multiple centrally specified position values (or vice versa).
The measurement values assigned to the time or times or to the position, respectively, are more accurate at least with respect to the mentioned allocation. The potential inaccuracy is reduced to the determined measurement value.
Accordingly, the reference measurement value may be understood as a reference measurement value determined at a reference time and/or as a temporal or spatial development of the reference measurement values within a timespan. The temporal or spatial development of the reference measurement values within a timespan can also be described by applying common science.
Any matching of measurement values with reference measurement values or of the measurement data with reference measurement data, respectively, is hence more accurate.
In the railway industry, the temporal and/or spatial development of measurement values with the temporal and/or spatial development of reference measurement values is applied, by way of example and not limitation, when localizing an object in the railway network. Localization may be, for example, through matching a temporal and/or spatial development of measurement values describing the gauge with corresponding reference measurement values. The above measurement values describing the gauge are mentioned as measurement values suitable for localization herein only by way of example and not limitation. Additionally or alternatively to the measurement values describing the gauge, measurement values such as a GPS signal may also be used according to common science.
The central specification of the time value described above allows more accurate determination of the required measurement value at a time. Furthermore, the temporal and/or spatial development of the measurement values can thereby be determined more accurately.
The following methods such as localization, which methods are based on a comparison of the measurement values with reference measurement values, may be performed more accurately on the whole because the determination of the measurement values is subject to fewer inaccuracies.
The above description mentions the measurement values and the reference measurement values. The skilled person is able to apply this description also to the processing of measurement data and reference measurement data.
The inventive method may further be characterized in that the measurement data is matched with reference measurement data which describes a reference object and measurement data is assigned to a reference object while determining a similarity measure.
According to the above definition, the measurement data differs from the measurement values in that the measurement data includes a time value and/or a position value and/or a measurement pattern in addition to the measurement value or values.
The invention is now additionally explained based on the following embodiments shown in the figures:
The embodiments shown in the figures merely show possible embodiments, while it should be noted at this point that the invention is not limited to those specifically shown variant embodiments thereof, but that combinations of the individual variant embodiments among one another and with the above general description are also possible. Those further possible combinations need not be explicitly mentioned since such further possible combinations are within the ability of one of ordinary skill in the relevant art based on technical teaching by the present invention.
The scope of the invention is defined by the claims. However, the description and the drawings are to be used to interpret the claims. Individual features or combinations of features of the various embodiments shown and described may as such present independent inventive solutions. The object underlying such independent inventive solutions may be read from the description.
In the figures, the following elements are each designated by the preceding reference numerals:
The inventive method of generating measurement data is illustrated by a track processing machine. The measurement values processed in this method describe a railway network or a vehicle travelling on a track. The measurement values can be determined using one of the sensors 3, 4, 5 arranged on the vehicle or the sensors 6 arranged on the track 7.
In
The inventive method can also be applied to sensors 6 arranged on track 7.
The inventive method can be applied to sensors of prior art for determining measurement values relevant in the railway industry.
A time value describing a time t is requested from a computation unit 1 arranged on the vehicle by a sensor computation unit (not shown in
Sensor 3 may be, for example, a sensor for determining the distance travelled by the vehicle. According to common science, the position of the vehicle in a network of tracks can be calculated based on the travelled distance.
Sensor 4 may be, for example, a sensor for determining gauge. In prior art, the temporal change in gauge may be an input parameter for localizing the vehicle.
Sensor 5 may be a GPS sensor which allows localizing the vehicle depending on the availability of the GPS signal.
According to common science, the position of the vehicle at a time t may be determined from the measurement values mentioned above by way of example and/or from the temporal development of said measurement values. This, however, requires that the individual measurement signals are in fact determined at the single time t. The inventive method achieves this by generating a single time value which in the inventive method exclusively describes time t. By generating the measurement values at a time exclusively described by the time value and by linking the measurement values to the single time value, a time difference in generating the measurement values is prevented.
The arrangement of the components for performing the inventive method includes at least one sensor for determining the measurement values, a sensor computation unit and a computation unit.
The measurement values describing a condition of the track or of the vehicle are determined with the sensor. The operator may employ sensors of prior art in performing the inventive method.
For example, the sensor may be arranged on the vehicle and determine measurement values describing the condition of the vehicle or of the railway network. Likewise, the sensor may be arranged on the track and, as a sensor there arranged, determine measurement values describing the condition of the railway network, in particular the railbed and track, or of the vehicle.
At least one measurement value and optionally one sensor time value are transmitted to the sensor computation unit. When the sensor is arranged on the vehicle, this data transfer is done preferably, but not limited to, via a wired network, since the sensor computation unit is also arranged on the vehicle. When the sensor is arranged on the track, this data transfer is done preferably via radio, as wired data transfer is not feasible. The forms and ways of data transfers employed, in particular the wired forms of data transfer, such as cable, switch, etc., are preferably standardised to prevent latencies between the data transfer paths. Generally, the skilled person is able to use their expert knowledge to establish a suitable way of data transfer and design it such that the established data transfer is subjected to little interference such as latency.
The inventive method allows the use of sensors which either deliver or do not deliver a sensor time value in addition to the measurement values. The property of the sensor to be able to deliver sensor time values is irrelevant to the inventive method.
The inventive method may include the method step of the sensor computation unit requesting the time value from the computation unit. In this request, the characteristic of the requested time value is defined, so that the time value is present in the time format required for further data processing. This is done according to the common teaching on defining the communication protocol, such as Network Time Protocol (NTP) or Precision Time Protocol (PTP), for example.
The time value is transmitted from the computation unit to the sensor computation unit while observing the required communication protocol. This transmitted time value is the only relevant time value in performing the inventive method. No other time values are processed in a relevant manner in performing the inventive method; such other time values, such as the sensor time values, for example, have no influence on subsequent method steps, in particular they have no relevant influence on the synchronization of the measurement values as achievable by the inventive method.
The computation unit may be controlled such that the computation unit delivers the time values in the communication protocol requested by the sensor computation unit. The characteristic of the time values may be adapted to the respective request.
The computation unit may also be controlled such that the computation unit delivers the time values in a rigid format.
The measurement values are linked to the time value in the sensor computation unit. The measurement data generated therefrom is transmitted to the computation unit and optionally stored in a database. The database is not depicted in
The computation unit may include multiple units, which units have individual functions (pattern, database, . . . ) separately.
With reference to the above description on the occurrence of further time values, it shall be noted that the measurement data may generally include sensor time values. The sensor time values are, however, not of further relevance in the basic performing of the inventive method or subsequent methods. Such methods are executable without the sensor time values as further time values.
Since the further time values, such as sensor time values, have not relevant significance in performing the inventive methods, the sensor time values can be deleted or the measurement data designed such that the measurement data includes only measurement values and time values.
According to common science, a sensor may require a time value in a different format, as is specifically established by the communication protocol. With reference to
The measurement data may include a unified time format. Linking the measurement values to the single time value, which may be present in different time formats, allows storing the measurement data with a unified time format.
The method step of querying a time value may be omitted, as set out above in the overall description. It is also feasible in the context of the disclosure of the invention that the time value to which the measurement value is assigned is specified by the central computation unit. This specification may be a timing or measurement pattern, or a plurality of time values, for example.
A timing is understood to mean determining a number of measurement values within a timespan. In a measurement pattern, the number of measurement values within a timespan is indicated with the aid of a mathematical function.
The above description mentions the determination of measurement values per timespan.
Likewise, the determination of measurement values per distance can be defined. The determination of measurement values per distance may be defined by an odometer wheel or by another sensor as well as a system for positional determination.
The time value is generated by the computation unit. However, the time value issue by the computation unit may be different from a reference time such as atomic time, for example. The operator could solve the present problem of preventing a such time difference by matching the time value and the reference time value. Preferably, said matching is done permanently to thereby prevent the time difference from being created. However, such matching requires a data connection between the computation unit and the unit generating the reference time, the possibility of which is very limited in the railway industry. For example, not such data connection will be available in a tunnel.
The method illustrated in
In phase 1, reference time value and time value are a match. The graph (or its course) extends through zero and has a slope of 1:1.
In phase 2, there is a time difference between the reference time value and the time value. The graph (straight line) deviates from the dashed line, which illustrates reference time value and time value being a match. In the method shown in
It is, for example, assumed that no data connection between the computation unit issuing the time value and the reference time issuing the reference time is present in phase 2, so that the time difference cannot be ascertained. In the transition from phase 2 to phase 3, the time difference can be ascertained. In
In phase 3, the time value is adapted to the reference time “slidingly” by applying the inventive method. The “sliding” adaptation may be done by applying methods of common science. By way of example and not limitation, reference is made to method RFC 5905, which is described, for example, on http://www.ntp.org/. A phase 4 following phase 3 is characterized in that the only time value is a match with the reference time.
The advantageous effect of the inventive method is also set out as follows. Methods of prior art are based on linking the measurement values determined by individual sensors to the individual sensor time values. Each individual sensor time value may have a time difference to the reference time, so that individual time values of individual sensors have to adapted by an individual stand-alone method similar to the method described above. With a plurality of sensors and the occurrence of a plurality of time differences to different times, a plurality of adaptations of sensor time values to reference time values have to be performed, so that the skilled person can no longer follow the adaptations.
In contrast to this, a single time value has to be adapted to the reference time when applying the inventive method. In contrast to the prior-art method described above, the adaptation can be followed.
The following is submitted on
However, there is also a possibility of the timing and the time T2 not being a match. To still generate a measurement value at a time t2 equaling the time T2, at which time T2 the measurement value is to be determined by command, a measurement value notionally generated at a time t2 is transmitted to the computation unit. The measurement value notionally generated at the time t2 is a measurement value averaged or interpolated from multiple measurement values, which multiple measurement values are determined within a timespan including the time T2 equaling t2. The measurement values generated by way of example at a time t2.1 and t2.2, respectively, are included in
Furthermore, measurement data including a measurement value and a time value may be generated from said measurement value and said time value.
As set out above in detail, with methods of prior art, there is the technical problem of a real single time being described by different time values. This problem is illustrated in the plot by different temporal positions of times t1 of graphs 8, 9 on the x-axis as the time axis.
Plot 2 of
Plot 1 includes graphs 12, 13 as reference measurement values.
A possible technical effect of the description of a time t1 by multiple time values in prior art may be that graphs 8, 9 of a timespan 14 cannot be assigned to the reference graphs 12, 13 of said timespan. In the case that graphs 8, 9 relate to the temporal development of measurement values for describing a position, such as GPS signal, gauge, etc., for example, the vehicle would hardly or not at all be able to be localized, or only inaccurately. No single time period is found in the course of reference graphs 12, 13 in which graphs 8, 9 resemble both reference graphs 12, 13 with a high similarity measure.
Experiments have shown that graphs 10, 11 of the measurement values determined by applying the inventive methods can be matched with reference graphs 12, 13 at tolerable expense. In the case mentioned earlier that graphs 10, 11 describe measurement values for localization, the vehicle could be localized with sufficient accuracy.
Localization while matching graphs 8, 9 with reference graphs 12, 13 may be effectively done only if the time difference between the time t1 of graph 8 and the time t1 of graph 9 is minimized. The process of minimizing this time difference includes, for example, detecting this time difference. Said detection alone is subject to inaccuracy, which inaccuracy affects subsequent matchings.
The above description of
In addition to
Sensor 10, sensor computation unit 1 and computation unit may be formed as a single component in the sense of the disclosure of the invention. Sensor 10 transmits the measurement value and the sensor time value to the sensor computation unit 1. Sensor computation unit 1 transmits the measurement value in the form of measurement data and the sensor time value as a time value to the computation unit.
The central computation unit transmits the time value determined from the sensor time value to the sensor computation unit 2. This method step may be performed as the result of a query of a time value; said time value query is not necessarily required, as is explained above in sufficient detail.
The method shown in
| Number | Date | Country | Kind |
|---|---|---|---|
| A50358/2021 | May 2021 | AT | national |
The present application is a national phase application of PCT Application No. PCT/EP2022/062446, filed May 9, 2022, entitled “COMPUTER-IMPLEMENTED METHOD FOR CREATING MEASUREMENT DATA DESCRIBING A RAILWAY NETWORK OR A VEHICLE TRAVELLING ON A TRACK”, which claims the benefit of Austrian Patent Application No. A50358/2021, filed May 10, 2021, each of which is incorporated by reference in its entirety.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/EP2022/062446 | 5/9/2022 | WO |
