DE102020106421A1 - Method and system for more efficient data collection within a group of vehicles - Google Patents

Abstract

The invention relates to a method 100 for more efficient data collection within a group of vehicles with at least a first and a second vehicle, comprising the method steps: a) Acquisition of first reference data 3 by means of a reference sensor 4 arranged in the first vehicle 1; b) Acquisition of first reference data Vehicle data 5, which correlate with the first reference data 3, by means of a first sensor 6 arranged in the first vehicle 1; c) sending the first reference data 3 and the first vehicle data 5 to an external data processing system 7 by means of a first communication device 8 of the first vehicle 1; d) Determining a correlation function 9 or a correlation parameter 9 of a higher-level correlation function based on the first reference data 3 and the first vehicle data 5 by means of a computing unit 10 of the data processing system 7 and generating correlation data 11 comprising the correlation function 9 or the correlation nparameter 9; e) sending the correlation data 11 by means of the data processing system 7 to a second communication device 12 of the second vehicle 2; f) determining first correlation reference data 13 on the basis of the correlation function or the superordinate correlation function, including the correlation parameter, (9) based on second vehicle data 14 which are detected by means of a second sensor 15 arranged in the second vehicle 2 and correlate with the first correlation reference data 13.

Description

The invention relates to a method for more efficient data collection within a group of vehicles with at least a first and a second vehicle and a system for carrying out such a method.

It is known from the prior art that today's vehicles are equipped with a large number of different sensors which can detect different measured variables. The corresponding sensor data are used, for example, to monitor vehicle-internal systems and / or components and to recognize vehicle safety-relevant events. It is usually provided that each of the vehicles has all the sensors required for this. Given the large number of sensors installed in the vehicle, this requires an increased amount of work and increases the production costs of each vehicle.

The object of the present invention is therefore to provide a system and a method which overcomes the stated disadvantages of the prior art.

1. a) Erfassen von ersten Referenzdaten mittels eines in dem ersten Fahrzeug angeordneten Referenzsensors;
2. b) Erfassen von ersten Fahrzeugdaten, welche mit den ersten Referenzdaten korrelieren, mittels eines in dem ersten Fahrzeug angeordneten ersten Sensors;
3. c) Senden der ersten Referenzdaten und der ersten Fahrzeugdaten an eine externe Datenverarbeitungsanlage mittels einer ersten Kommunikationseinrichtung des ersten Fahrzeugs;
4. d) Bestimmen einer Korrelationsfunktion oder eines Korrelationsparameters einer übergeordneten Korrelationsfunktion basierend auf den ersten Referenzdaten und den ersten Fahrzeugdaten mittels einer Recheneinheit der Datenverarbeitungsanlage und Erzeugen von Korrelationsdaten umfassend die Korrelationsfunktion oder den Korrelationsparameter;
5. e) Senden der Korrelationsdaten mittels der Datenverarbeitungsanlage an eine zweite Kommunikationseinrichtung des zweiten Fahrzeugs;
6. f) Bestimmen von ersten Korrelationsreferenzdaten anhand der Korrelationsfunktion oder der übergeordneten Korrelationsfunktion, umfassend den Korrelationsparameter, basierend auf zweiten Fahrzeugdaten, welche mittels eines in dem zweiten Fahrzeug angeordneten zweiten Sensors erfasst werden und mit den ersten Korrelationsreferenzdaten korrelieren.

This object is achieved by a method for more efficient data collection within a group of vehicles with at least one first and one second vehicle, comprising the method steps:

1. a) acquisition of first reference data by means of a reference sensor arranged in the first vehicle;
2. b) acquisition of first vehicle data which correlate with the first reference data by means of a first sensor arranged in the first vehicle;
3. c) sending the first reference data and the first vehicle data to an external data processing system by means of a first communication device of the first vehicle;
4. d) determining a correlation function or a correlation parameter of a superordinate correlation function based on the first reference data and the first vehicle data by means of a computing unit of the data processing system and generating correlation data comprising the correlation function or the correlation parameter;
5. e) sending the correlation data to a second communication device of the second vehicle by means of the data processing system;
6. f) Determining first correlation reference data using the correlation function or the superordinate correlation function, comprising the correlation parameter, based on second vehicle data, which are recorded by means of a second sensor arranged in the second vehicle and correlate with the first correlation reference data.

The terms used are briefly explained below.

A vehicle within the meaning of the invention can be any motor vehicle. A group of vehicles is preferably understood to mean a vehicle fleet of a vehicle manufacturer which comprises vehicles of a series, a basic idea of the invention being to equip the vehicles of a series with different numbers and types of sensors.

A data processing system in the sense of the invention is to be understood as an IT infrastructure which in particular comprises a memory, computing power and, if necessary, application software, which can also preferably be a so-called cloud. A data processing system according to the invention is preferably set up and provided for receiving, sending, processing and / or storing data. According to this, an external data acquisition system is a data processing system which is arranged outside the vehicle.

Basically, reference data can be any measured variables that can be recorded in a known manner with a sensor arranged on / in the vehicle, or the recorded measured variable, which forms the reference data, can be preprocessed in the vehicle and / or from a, preferably several measured variable (s) can be calculated by means of software, with at least one recorded measured variable always being the basis (an example of this would be a filtered accelerator pedal value, whereby the underlying sensor only supplies a voltage from which the accelerator pedal value is determined in%, according to the reference data). This can be, for example, a torque, a temperature, wear (tires, brakes, toothed belts, batteries, ...), wear (tires, batteries) or the like, whereby this list should only be understood as an example.

Vehicle data are to be understood as those data which relate to the vehicle itself and / or its immediate surroundings and which can be recorded by means of a sensor arranged in and / or on the vehicle. The measured variables that form the vehicle data can be preprocessed in the vehicle and / or calculated from one, preferably several, measured variable (s) by means of software, with at least one recorded measured variable always being the basis (an example of this would be a filtered accelerator pedal value, where the the underlying sensor only supplies a voltage from which the accelerator pedal value is determined in%, according to the vehicle data). These can be, for example, data such as location, torque, fuel consumption, vehicle speed, acceleration, outside temperatures, temperatures of certain vehicle components, accelerator pedal position, brake pedal position, creep torque request, cruise control torque request, driving mode, recuperation, ABS intervention, ESP intervention, steering angle, tire pressure and / or the like. The vehicle data are expressly not intended to be restricted to these examples.

A sensor within the meaning of the invention can be an active and / or passive sensor, preferably a mechanical, thermoelectric, resistive, piezoelectric, capacitive, inductive, optical and / or magnetic sensor. A present sensor provides sensor data or reference data or vehicle data. A sensor of the vehicle is preferably a sensor which is arranged in or on the vehicle. Such a sensor can be part of the vehicle or be integrated in and / or on the vehicle, for example as part of a driver assistance system, or be attached subsequently in and / or on the vehicle.

A communication device according to the invention is set up and provided for sending and / or receiving data.

A correlation of the vehicle data with the reference data is understood to mean that the vehicle data which are recorded by a sensor influence the reference data which are recorded by a reference sensor. For example, reference data recorded by a tire wear sensor (reference sensor) are influenced by vehicle data recorded by a speed sensor, an ABS sensor, an ESP intervention sensor, a steering angle sensor, a vibration sensor, a temperature sensor and a tire pressure sensor. There is thus a dependency of the reference data acquired by the reference sensor on the correlating vehicle data acquired by a sensor.

In the context of the invention, a correlation function is intended to mathematically represent the dependency or influence of the reference data on / by the vehicle data on the basis of the recorded data. The specific correlation function should allow the associated reference data to be calculated on the basis of acquired vehicle data without having to acquire the reference data by an existing reference sensor. Thus, on the basis of the acquired vehicle data on which the correlation function is based, conclusions can be drawn about the present reference data. A reference value that was not recorded by means of a reference sensor, but was determined by means of a correlation function, is hereinafter referred to as a correlation reference value. According to the invention, a higher-level correlation function mathematically represents the dependency or influence of the reference data on / by the vehicle data on the basis of several correlation parameters, the correlation parameters preferably each representing different vehicle data or measured variables. It is therefore possible that a higher-level correlation function has already been determined by means of the computing unit (based on vehicle data that has already been recorded) and is available on the data processing system and, based on the first reference data and the associated first vehicle data, a further correlation parameter of the higher-level correlation function is determined, which the Superordinate correlation function supplemented or expanded. It is assumed here that the higher-level correlation function already present is already present on the second vehicle and / or the first vehicle or has already been sent to them and therefore only the specific correlation parameter from the data processing system is advantageous in this case the first / second vehicle is sent. The correlation parameter that was sent to the first / second vehicle is inserted into the existing superordinate correlation function or the superordinate correlation function is expanded by the correlation parameter, so that the superordinate correlation function is formed by the first / second correlation reference data based on the second / third Determine vehicle data.

By sending the correlation function or the correlation parameter, which was determined on the basis of the first reference data and the first vehicle data of the first vehicle, to the second vehicle, advantageously by executing the correlation function or the superordinate correlation function, including the correlation parameter, based on, second vehicle data acquired by a second sensor, first correlation reference data can be determined without the second vehicle having to have a reference sensor for acquiring reference data. The advantageous method allows only first vehicles within a group of vehicles to be equipped with the reference sensor, the correlation reference data of the second vehicles being able to be determined by the correlation function or the superordinate correlation function, and the second vehicles not having to be equipped with reference sensors.

The method can preferably be extended to any large group of vehicles with different sensor configurations as far as the reference sensors are concerned. In this way, further reference data can preferably also be recorded by means of further reference sensors from certain vehicles in the group, the correlating vehicle data from all vehicles in the group being recorded by means of further sensors. So sensors are consequently referred to as reference sensors, which are not provided in all vehicles of the group, such as, for example, the first reference sensor is only arranged in first vehicles. It also follows that first and second sensors are arranged in all vehicles in the group and record vehicle data.

The reference data and the vehicle data are preferably recorded continuously by means of the corresponding sensors and / or at specific time intervals and / or when specific events take place. The events can, for example, be influencing events for the corresponding reference data, such as, for example, a change in the driving mode (vehicle data) to the torque (reference data).

The first correlation reference data determined on the basis of the correlation function or the superordinate correlation function can preferably be sent from the second vehicle to the data processing system by means of the second communication device. In this way, the data can be checked again.

According to a preferred embodiment, the first sensor and the second sensor are designed identically and are arranged in the same position within the respective vehicle. This preferred embodiment allows the correlation reference value to be determined particularly precisely based on the second vehicle data recorded by the second sensor using the correlation function or the superordinate correlation function. More preferably, the first sensor and the second sensor determine the same measured variable.

According to a preferred embodiment, in step b) of the method, further vehicle data, which each correlate with the first reference data, are recorded by means of further sensors arranged in the first vehicle and in step c) are sent to the data processing system, the correlation function or the correlation parameter of the superordinate correlation function is determined in step d) based on the first reference data and the first and the further vehicle data. The further vehicle data preferably also include other measured variables which influence the first reference value. In this way, the correlation function or the correlation parameter can be determined more precisely and more accurately, since more different vehicle data, which influence the reference data, are recorded.

According to a preferred embodiment, steps a) and b) of the method are carried out simultaneously and first vehicle data recorded at the same time are assigned to the first reference data. This advantageously makes it possible to identify for which recorded first vehicle data and which first reference data were recorded and were therefore available. In this way, the dependency of the reference data on the vehicle data can be precisely traced.

The reference data, the vehicle data and the correlation data are preferably sent automatically to the data processing system or the vehicle as soon as new data are available, since the correlation function or the correlation parameter or the higher-level correlation function is always up-to-date. It would also be conceivable for the data to be sent at regular time intervals, so that the amount of data could be reduced or that the data could be transmitted in the event of certain events. The events can be, for example, workshop visits, inspections, etc.

According to a preferred embodiment, the correlation data are sent by means of the data processing system to the first communication device of the first vehicle, with the correlation function or the superordinate correlation function, comprising the correlation parameter, determining second correlation reference data based on third vehicle data acquired by means of the first sensor and the determined second correlation reference data are compared with second reference data recorded at the same time by means of the reference sensor for correspondence in order to check the correlation function or the superordinate correlation function. In this way, the correlation reference data determined by the correlation function or the superordinate correlation function can be compared with the actually available recorded reference data and the correctness of the correlation function or the correlation parameter or the superordinate correlation function can be determined. The third vehicle data and the second reference data are advantageously acquired at the same time. The comparison for correspondence can be carried out, for example, in such a way that the correlation reference data determined must lie in a predeterminable range that includes the recorded second reference data. Deviations are preferred predetermined upwards and downwards from the recorded second reference data and the correlation function or the correlation parameter or the superordinate correlation function evaluated as functional (“correct”) if the determined second correlation reference value lies within the range. The third vehicle data are preferably acquired by the first sensor after the first vehicle data. Furthermore, the second reference data are preferably recorded by the reference sensor after the first reference data. The superordinate correlation function is preferably already present on the first vehicle without the specific correlation parameter.

It is preferably possible to initially only send the correlation data with the correlation function or the correlation parameter to the first vehicle, the correlation function or the correlation parameter being checked for correctness as shown above, and a corresponding signal only when the calculated correlation reference data match the recorded reference data or corresponding data are sent to the data processing system by means of the first communication device that the correlation function or the correlation parameter is correct and only then the correlation data with the correlation function of the correlation parameter is sent to the second vehicle.

Preferably, if there is a mismatch when comparing the specific correlation reference data with the recorded reference data, an error message can be output that is stored internally in the vehicle and / or is displayed to the driver by a display unit in the vehicle or a communication device such as a smartphone and / or to the data processing system is sent. This is particularly preferable in the case of non-critical (safety-relevant) errors. It would also be conceivable for the vehicle to be placed in a vehicle safety operating mode in the event of a mismatch in order to avoid possible damage. This is provided in particular in the case of critical errors that can cause damage to the vehicle and / or the driver. Furthermore, it is conceivable that a detected non-correspondence (error message) is sent to the data processing system by means of the communication device of the first vehicle, the data processing system redetermining the faulty correlation function or the correlation parameter, preferably based on new data, and / or the faulty correlation function or no longer sends the correlation parameter to second vehicles that do not have the corresponding reference sensor, but only to first vehicles that can check the recalculated correlation function or the correlation parameter by comparing the correlation reference data with the recorded reference data.

According to a preferred embodiment, several first vehicles are provided which carry out steps a) to c) of the method and the correlation function or the correlation parameter is determined based on several first reference data and several first vehicle data by means of the computing unit of the data processing system. As a result, the correlation function or the correlation parameter can be determined on the basis of a plurality of reference data and vehicle data, whereby the dependency of the reference data on the vehicle data can be determined more precisely by the correlation function or the correlation parameter. This leads to a more precise determination of correlation reference data and fewer error messages.

According to a preferred embodiment, the reference data, the vehicle data and the correlation data are sent by means of a wireless connection, which is preferably based on a transmission technology selected from a group consisting of WLAN connection, radio connection, cellular connection, 2G connection, 3G connection, Includes GPRS connection, 4G connection, 5G connection. The wireless connection advantageously has a comparatively long range, at least in sections, preferably with a maximum range of over 100 m, preferably over 500 m, preferably over 1 km, particularly preferably several km. As a result, the data can be sent from the vehicles to the data processing system and vice versa, regardless of the respective geographic position. The wireless connection or the transmission technology is preferably a bidirectional connection.

According to a preferred embodiment, the computing unit of the data processing system is designed to use artificial intelligence (KI) and preferably a neural network to determine the correlation function or the correlation parameter. The patterns that result from the dependency of the reference data on the vehicle data can thus be expressed particularly effectively in a correlation function or one of the correlation parameters. The terms machine learning and “deep learning”, which are relevant in connection with the application of artificial intelligence (AI) and neural networks, are advantageous here.

It can preferably also be provided that a vehicle-internal computing unit is arranged in the first vehicle. This vehicle-internal computing unit is preferably set up for this and provided for determining a vehicle-internal correlation function or correlation parameters based on the recorded reference data and the recorded vehicle data. In this way, the correlation reference data determined by the vehicle-internal correlation function or correlation parameter can advantageously be compared with the recorded reference data for correspondence and thus the vehicle-internal correlation function or correlation parameters can be improved and adapted accordingly. This (r) vehicle-internal correlation function or correlation parameter can then preferably be sent to the data processing system by means of the communication device, wherein the computing unit of the data processing system can determine the correlation function or the correlation parameter based on the vehicle-internal correlation function or correlation parameter and the reference data and the vehicle data. This can further improve the accuracy of the correlation function or of the correlation parameter for determining the correlation reference value.

According to a preferred embodiment, the reference data, the vehicle data and the correlation data are sent in encrypted form. This means that, for example, the reference data and the vehicle data can be encrypted by means of the communication device in the vehicle and decrypted by means of the data processing system. This can be carried out, for example, by the computing unit or a special decryption device that is provided in the data processing system.

The reference data, the vehicle data and the correlation data are preferably stored in the data processing system in order to be able to access them again later if necessary.

According to a preferred embodiment, the reference data and the vehicle data are anonymized by means of the data processing system after they have been received by the data processing system. In particular, anonymized means that no conclusions can be drawn as to which exact vehicle, in relation to the owner / driver, sent the corresponding data. For example, so-called user data, which allow conclusions to be drawn about the vehicle owner and / or the driver, are removed and, more preferably, replaced by an identification number that can only be assigned to the vehicle type.

The object is further achieved by a system for carrying out a method according to one of claims 1 to 10, comprising a first vehicle with a first reference sensor, a first sensor and a first communication device, a second vehicle with a second sensor and a second communication device and a Data processing system with a computing unit.

The features that are described for the procedure should apply mutatis mutandis to the system and vice versa. Furthermore, the features and explanations relating to the correlation function should also be advantageously disclosed mutatis mutandis for the superordinate correlation function or the correlation parameter. Explanations and features that relate to the superordinate correlation function, unless otherwise stated, should also relate to the superordinate correlation function that is expanded / supplemented by the specific correlation parameter.

Application examples ("Use Cases")

Application examples according to various embodiments of the method according to the invention are to be presented below.

Torque determination

A torque sensor (reference sensor), which records a torque (reference data), is arranged in the first vehicle. Furthermore, several sensors (first sensors) are provided in the first vehicle, which detect an accelerator pedal position, a brake pedal position, a creep torque request, a cruise control torque request, a driving mode and recuperation (several first vehicle data) that represent factors influencing the torque. The reference data and the vehicle data are sent to the data processing system, which in this example is designed as a cloud with training options for neural networks. The correlation function determined by the cloud or the neural network is sent to the second vehicle, which does not have a torque sensor (reference sensor). The torque (correlation reference data) can be determined by means of the correlation function and second vehicle data, which are recorded by corresponding sensors (second sensors) in the second vehicle. It is also conceivable that the vehicle is transferred to a safety operating state on the basis of the reference data or the correlation reference data in order to avoid damage.

Temperature determination

In a first vehicle, additional temperature sensors (reference sensors) can be arranged at critical points (hybrid vehicle: battery; burning in the engine compartment). Furthermore, sensors are arranged in the vehicle, the influencing factors (vehicle data) of the recorded temperature ( Reference data) represent, record. The reference data and the vehicle data are transmitted to a cloud with training options for neural networks. The neural network determines a correlation function in order to simulate the reference data on the basis of the vehicle data. The correlation function is then sent to a second vehicle that does not include any additional temperature sensors (reference sensors). The temperatures (correlation reference data) can be determined using the correlation function without a physical temperature sensor (reference sensor) being provided.

Determination of wear and tear with service interval

Additional sensors for e.g. tire wear, brake wear, toothed belt wear, battery status (reference sensors) can be arranged in a first vehicle. Furthermore, sensors are arranged in the vehicle that record influencing factors (vehicle data) such as driving style and environmental factors. The reference data and the vehicle data are transmitted to a cloud with training options for neural networks. The neural network creates a correlation function to detect wear. The correlation function is then sent to a second vehicle which does not include any wear sensors (reference sensors). The wear (correlation reference data) can be determined using the correlation function. As a result, an individual service interval can also be determined on the second vehicle data (driving style) recorded by the sensors.

Determination of wear

In a first vehicle, additional wear sensors for e.g. tire wear (reference sensors) can be arranged, which detect wear (reference data). This is possible, for example, by recognizing the tread depth on the basis of a rolling circumference of the tire. Furthermore, sensors (first sensors) are arranged in the vehicle, which record influencing factors (vehicle data) such as vehicle speed, ABS intervention, ESP intervention, steering angle, vibrations, temperature and tire pressure. The reference data and the vehicle data are transmitted to a cloud with training options for neural networks. The neural network creates a correlation function to detect wear and preferably predict it using historical data. The correlation function is then sent to a second vehicle which does not include any wear sensors (reference sensors), the reference sensor preferably being substitutable by the correlation function. The wear (correlation reference data) can be determined using the correlation function. It is also possible to display the status of the tread depth to the driver using a display system in the vehicle or on a smartphone. It would also be conceivable to forward the reference data and / or correlation reference data to a workshop in order to indicate upcoming repairs or maintenance. In addition, it would be possible to use the wear data (reference data, correlation reference data) to adapt or set corresponding vehicle parameters in such a way as to maintain the service life or the performance of the wear component.

The application examples are each shown with the determination of a correlation function, but this can also involve the determination of a correlation parameter of a higher-level correlation function.

• 1 System zur effizienteren Datenerhebung innerhalb einer Gruppe von Fahrzeugen gemäß einer bevorzugten Ausführungsform;
• 2 Verfahren zur effizienteren Datenerhebung innerhalb einer Gruppe von Fahrzeugen gemäß einer bevorzugten Ausführungsform.

Further objects, advantages and expediencies of the present invention can be taken from the following description in connection with the drawing. Here show:

• 1 System for more efficient data collection within a group of vehicles according to a preferred embodiment;
• 2 Method for more efficient data collection within a group of vehicles according to a preferred embodiment.

In 1 is a system 1000 illustrated in accordance with a preferred embodiment of the present invention comprising a first vehicle 1 with a reference sensor 4th (in this case two reference sensors which are arranged on a tire and, for example, detect a wheel torque, wherein a reference sensor can be arranged in each case on each tire of the vehicle), a first sensor 6th (the first sensor is not explicitly shown, since it is any sensor that could be arranged as desired, as long as first vehicle data that correlate with the reference data are recorded) and a first communication device 8th . The system also includes 1000 a data processing system 7th with one arithmetic unit 10 and a second vehicle 2 with a second sensor 15th and a second communication device 12th .

Using the reference sensor 4th are the first reference data 3 recorded. The first sensor 6th captures, preferably at the same time, first vehicle data 5 . The first reference data 3 and the first vehicle data 5 to the data processing system 7th sent and based on this data 3 , 5 by the arithmetic unit 10 a correlation function / parameter 9 determined, the arithmetic unit 10 is set up and intended for this purpose, the correlation function / the correlation parameter 9 to determine. Next are correlation data 11 that generates the specific correlation function / parameters 9 include.

The correlation data 11 are processed by the data processing system 7th to the second communication device 12th of the second vehicle 2 sent. Using the correlation function 9 or the superordinate correlation function, comprising the correlation parameter 9 are based on second vehicle data 14th by the second sensor 15th first correlation reference data 13th calculated, the second vehicle data 14th with the first correlation reference data 13th correlate. The determined first correlation reference data 13th can by means of the second communication device 12th to the data processing system 7th be sent.

Furthermore, the correlation data 11 through the data processing system 7th to the first communication device 8th of the first vehicle 1 be sent. Through the correlation function 9 or the superordinate correlation function, comprising the correlation parameter 9 , can second correlation reference data 16 based on by means of the first sensor 6th captured third vehicle data 17th and the second correlation reference data 16 with by means of the reference sensor 3 captured second reference data 18th which coincides with the third vehicle data 17th have been recorded, can be compared for consistency.

It is also conceivable that several first sensors 6th in the first vehicle 1 , preferably different sensor types or types, are provided in order to obtain first vehicle data 5 to investigate. It is also conceivable that several second sensors 15th are provided in the second vehicle, which capture second vehicle data. The first and the second sensors are preferably designed identically.

It is also conceivable that several first vehicles 1 and several second vehicles 2 are provided. It is also conceivable that third vehicles are provided which have a further reference sensor, on the basis of which a further correlation function or a further correlation parameter can be determined using the method according to the invention, which is then sent to the first and second vehicles.

According to 2 is a method for more efficient data collection within a group of vehicles with at least one first (1) and one second vehicle ( 2 ), shown according to a preferred embodiment.

In a step 101, a reference sensor detects 4th first reference data 3 , where the reference sensor 4th in the first vehicle 1 is arranged.

In a step 102, first vehicle data 5 by means of one in the first vehicle 1 arranged first sensor 6th detected, the first vehicle data 5 with the first reference data 3 correlate or represent influencing factors.

Steps 101 and 102 are preferably carried out at the same time, with each recorded first reference data 3 at the same time collects the first vehicle data 5 be assigned.

The recorded first reference data 3 and the first vehicle data 5 are then in a step 103 by means of a first communication device 8th of the first vehicle 1 to a data processing system 7th sent. Through an arithmetic unit 10 the data processing system 7th a correlation function / a correlation parameter becomes based on the first reference data and the first vehicle data 9 determines which prefers the dependency of the first reference data 3 from the first vehicle data 5 represents. Then correlation data 11 which generates the correlation function / the correlation parameter 9 include.

According to a step 104a, the correlation data 11 to a second communication device 12th of the second vehicle 2 sent, based on the correlation function 9 or the superordinate correlation function, comprising the correlation parameter 9 , based on second vehicle data 14th , which by means of a second sensor 15th of the second vehicle 2 are acquired, correlation reference data 13th calculated, the vehicle data 14th with the correlation reference data 13th correlate. In this way, data from a sensor can be determined even though the sensor itself is not arranged in the vehicle.

In a step 104b, the correlation data 11 to the first communication device 18th of the first vehicle 1 sent. Step 104b can preferably be carried out before step 104a, or steps 104a and 104b are carried out simultaneously. Furthermore, it would be conceivable that first step 104a and then step 104b are carried out, but this is not preferred.

In a step 105, the correlation function 9 or the superordinate correlation function, comprising the correlation parameter 9 which are attached to the first vehicle 1 was sent, second correlation reference data 16 based on by means of the first sensor 6th captured third vehicle data 17th and the determined second correlation reference data 16 with by means of the reference sensor 3 second reference data recorded at the same time 18th compared to match. In this way, the correct calculation of the correlation function or the correlation parameters or the superordinate correlation function is checked. The result of the comparison of the second reference data 18th with the second correlation data 16 a match is determined in accordance with a step 106 by means of the first communication device 8th sent to the data processing system 7.

When determining the correlation parameter 9 it is assumed that the superordinate correlation function is already available on the respective vehicle and is correspondingly supplemented by the correlation parameter, so that the superordinate correlation function, including the correlation parameter, is designed to determine the respective correlation reference data based on the respective vehicle data.

All features disclosed in the application documents are claimed as essential to the invention, provided that they are new to the state of the art, individually or in combination.

List of reference symbols

100

procedure

1000

system

1

first vehicle

2

second vehicle

3rd

first reference data

4th

Reference sensor

5

first vehicle data

6th

first sensor

7th

Data processing system

8th

first communication device

9

Correlation function, correlation parameters

10

Arithmetic unit

11

Correlation data

12th

second communication device

13th

first correlation reference data

14th

second vehicle data

15th

second sensor

16

second correlation reference data

17th

third vehicle data

18th

second reference data

Claims (11)

A method (100) for more efficient data collection within a group of vehicles with at least a first (1) and a second vehicle (2), comprising the method steps: a) acquisition of first reference data (3) by means of a reference sensor (4) arranged in the first vehicle (1); b) acquisition of first vehicle data (5) which correlate with the first reference data (3) by means of a first sensor (6) arranged in the first vehicle (1); c) sending the first reference data (3) and the first vehicle data (5) to an external data processing system (7) by means of a first communication device (8) of the first vehicle (1); d) determining a correlation function (9) or a correlation parameter (9) of a higher-level correlation function based on the first reference data (3) and the first vehicle data (5) by means of a computing unit (10) of the data processing system (7) and generating correlation data (11) comprising the correlation function (9) or the correlation parameter (9); e) sending the correlation data (11) by means of the data processing system (7) to a second communication device (12) of the second vehicle (2); f) determining first correlation reference data (13) on the basis of the correlation function (9) or the superordinate correlation function, comprising the correlation parameter (9), based on second vehicle data (14), which is obtained by means of a second sensor (15) arranged in the second vehicle (2) ) are recorded and correlate with the first correlation reference data (13). Procedure according to Claim 1 , characterized in that the first sensor (6) and the second sensor (15) are identical and are arranged in the same position within the respective vehicle (1, 2). Procedure according to Claim 1 or 2 , characterized in that in step b) of the method (100) further vehicle data, which each correlate with the first reference data (3), are recorded by means of further sensors arranged in the first vehicle (1) and in step c) to the data processing system (7 ) are sent, the correlation function (9) or the correlation parameter (9) being determined in step d) based on the first reference data (3) and the first (5) and the further vehicle data. Method (100) according to one of the Claims 1 until 3 , characterized in that steps a) and b) are carried out simultaneously and first vehicle data (5) recorded at the same time are assigned to the first reference data (3). Method (100) according to one of the Claims 1 until 4th , characterized in that the correlation data (11) are sent by the data processing system (7) to the first communication device (8) of the first vehicle (1), with the correlation function (9) or the superordinate correlation function comprising the correlation parameter (9) , second correlation reference data (16) are determined based on third vehicle data (17) recorded by means of the first sensor (6) and the determined second correlation reference data (16) are compared for correspondence with second reference data (18) recorded simultaneously by means of the reference sensor (3), to check the correlation function (9) or the correlation parameter (9). Method (100) according to one of the Claims 1 until 5 , characterized in that several first vehicles (1) are provided which carry out steps a) to c) of the method (100) and the correlation function (9) or the correlation parameters (9) based on several first reference data (3) and several first vehicle data (5) is determined by means of the computing unit (10) of the data processing system (7). Method (100) according to one of the Claims 1 until 6th , characterized in that the reference data (3, 18), the vehicle data (5, 14, 17) and the correlation data (11) are sent by means of a wireless connection which is preferably based on a transmission technology selected from a group which Includes WiFi connection, radio connection, cellular connection, 2G connection, 3G connection, GPRS connection, 4G connection, 5G connection. Method (100) according to one of the Claims 1 until 7th , characterized in that the computing unit (10) of the data processing system (7) is designed to use an artificial intelligence and preferably a neural network to determine the correlation function (9) or the correlation parameter (9). Method (100) according to one of the Claims 1 until 8th , characterized in that the reference data (3, 18), the vehicle data (5, 14, 17) and the correlation data (11) are sent in encrypted form. Method (100) according to one of the Claims 1 until 9 , characterized in that the first reference data (3) and the first vehicle data (5), after they have been received by the data processing system (7), are anonymized by means of the data processing system (7). System (1000) for carrying out a method (100) according to one of the Claims 1 until 10 , comprising a first vehicle (1) with a reference sensor (3), a first sensor (6) and a first communication device (8), a second vehicle (2) with a second sensor (15) and a second communication device (12) and a data processing system (7) with a computing unit (10).

Images