DE102020210507A1 - Method for acquiring at least one item of pollutant information - Google Patents

Abstract

Method for detecting at least one item of pollutant information, in particular a pollutant concentration in at least one area (5 - 8) of a detection space (2), with sensor values being detected in a time-resolved and spatially-resolved manner using a large number of sensors (3, 4) and based on the detected sensor values at least pollutant information is determined in real time and a representation, in particular a map, of the detection space (2) is generated, in which the at least one specific pollutant information for the at least one area (5 - 8) is displayed.

Description

The invention relates to a method for acquiring at least one item of pollutant information.

Methods for acquiring pollutant information, for example based on sensor stations arranged in a stationary manner, are known in principle from the prior art. For example, such sensor stations or measuring stations are set up at defined points in a city, which are designed to record pollutant information relating to the air surrounding the measuring station. For example, it is known to determine a proportion of fine dust in the air examined and to output this in the form of a characteristic value.

Since such measuring stations always collect the pollutant information at the same place, for other locations where no measuring station is located, only model calculations are possible to indicate how the pollutant information would turn out at another specific location. However, such calculations or transmission models are usually very imprecise, since the pollutant information depends very much on the local conditions, in particular the occurrence or generation of pollutants, in particular the number and type of emitters, and on the local, for example topological, characteristics, i.e. the ability to transfer or spread the pollutants.

Furthermore, there is usually a requirement with regard to the installation of a described measuring station that certain cycles must be observed. Furthermore, specific parameters must be met that allow a described measuring station to be set up at a specific location. A reliable statement about the pollutant information at locations that deviate from the location of a measuring station is therefore only possible to a very limited extent, since, as described above, the existing model calculations are imprecise and the number of available measuring stations is too small and also not comprehensive .

It is therefore an object of the present invention to specify a method for acquiring pollutant information that is improved in comparison thereto, in which, in particular, a comparatively more precise acquisition at different locations at different times is possible.

The object is achieved by a method having the features of claim 1. Advantageous configurations are the subject matter of the dependent claims.

As described above, the invention relates to a method for acquiring at least one item of pollutant information in an acquisition space. The pollutant information relates in particular to a pollutant concentration in at least one area of a detection space. In the detection space, a large number of sensors can be used to record time-resolved and location-resolved sensor values and, based on the detected sensor values, at least one item of pollutant information can be determined in real time and a representation, in particular a map, of the detection space can be generated in which the at least one specific item of pollutant information for the at least one area is shown.

In other words, according to the method described, it is possible to provide a large number of sensors, so that the corresponding sensor values can be resolved with improved time and spatial resolution due to the large number of sensors, since the large number of sensors compared to the known measuring stations described can be located anywhere in the Detection space can be arranged and can also be arranged or configured to be mobile. This allows the at least one item of pollutant information to be determined in real time in different areas, in particular independently of the locations of calibrated measuring stations. Since the pollutant information is generated based on a significantly larger amount of data or a larger number of individual data sets due to the large number of sensors, the pollutant information in relation to individual locations and/or times is significantly more reliable than if based on a model calculation from one to another Location arranged measuring station the attempt is made to transfer to any other location.

The pollutant information can then be displayed, for example the pollutant information can be output in the form of a map, so that the pollutant information can be displayed or can be displayed in the detection space. It can be seen from the representation how or which pollutant information is present in the detection space at which time and place, so that ultimately a statement can be made about the pollutant information in the detection space, in particular which pollutants are present at which location and at what time. Due to the large number of sensors, the quality of the individual signals can be lower, but the sum of the individual signals can still achieve the same quality as could be achieved with a calibrated measuring station, for example. However, compared to the measuring station described, the large number of sensors offer the advantage that the individual sensors from the large number of sensors cannot be set up on previously tested locations or locations subject to certain cycles. Instead, these can be set up or arranged in a flexible manner or in any way.

The pollutant information can fundamentally relate to any pollutant that is or can be present in the air around the at least one sensor or the plurality of sensors. In particular, nitrogen oxides, carbon dioxide, particulate matter, ozone, fluorocarbons, abrasion from tires and brakes, and road surface can be understood as typical representatives of pollutants that can be identified, recorded, or displayed using the pollutant information.

At least one sensor value can be recorded using at least one stationary sensor and/or using at least one mobile sensor. As a result, the sensors from the large number of sensors can be arranged in any stationary manner or be designed to be mobile, so that the sensors can ultimately move in the detection space. The sensors can of course record sensor values at different points in time and these can contribute to the recording of the pollutant information. In addition to being able to record different sensor values in a time-resolved manner, the mobile sensors in particular can also record sensor values at different locations, since the sensors can be moved. This significantly improves the detection of sensor values, since on the one hand these are significantly more reliable due to the large number of sensors and on the other hand due to the large number and the distribution of the sensors or the mobility of the sensors, improved coverage of the locations and times at which Sensor values can be detected in the detection space.

The various sensors can be arranged on a building basis, for example, in particular at least one sensor from the large number of sensors can be arranged on a building basis, in particular in the area of at least one stationary emitter, and/or at least one sensor can be arranged on a vehicle basis, in particular in the area of at least one mobile emitter. This makes it possible, on the one hand, to record the pollutant information in the air surrounding the sensor or to record sensor values that are included in the pollutant information. Furthermore, if the sensor is arranged on a mobile or a stationary emitter, the emission of the emitter can be included directly in the detection of the pollutant information. In this case, in particular if the pollutants emitted by the emitter are known, these can be used directly in a time- and/or location-resolved manner. Emitters, in particular mobile emitters, are in particular watercraft, rail vehicles and aircraft, like all conventional motor vehicles. In particular, factories, house heating systems and the like can be used as stationary emitters, to which a sensor from the large number of sensors can be attached directly.

The pollutant information can also be determined based on detected and/or calculated sensor values. For example, the pollutant information can be determined based on detected sensor values that have been detected by the individual sensors from the plurality of sensors. In addition or as an alternative, it is also possible, for example based on individual recorded sensor values, to calculate sensor values or, knowing the emissions of a defined emitter, to calculate sensor values in order to determine the pollutant information. If the corresponding sensor is arranged, for example, on an emitter, with knowledge of the operating state of the emitter and its emission characteristics being known, the sensor can calculate the corresponding sensor values and provide them for determining the pollutant information. Of course, a combination of calculation and detection of the sensor values for the provision for determining the pollutant information is possible.

According to a further embodiment of the method, provision can be made for the calculated sensor values to be validated using recorded sensor values and/or for the recorded sensor values to be validated using calculated sensor values. As described above, it is basically possible to use the appropriate sensors to calculate sensor values or to record sensor values, i.e. to measure them directly. According to this embodiment, it can be provided in particular that calculated sensor values can be validated by recorded or measured sensor values and/or recorded or measured sensor values can be validated by calculated sensor values. In principle, it is possible to calculate the corresponding sensor values with knowledge of the emission of an emitter, it being possible to validate the calculated sensor values by detecting or measuring sensor values in the area of the emitter. It is also possible that, if sensor values are recorded or measured, these can be validated based on a calculation of the sensor values, for example in the course of a plausibility check.

For example, knowing a fuel consumption of an internal combustion engine, a calculation of sensor values related to the pollutant information can be performed, ie that the sensor values related to the pollutant formation can be calculated. In this case, a plausibility check of the calculation of the sensor values can be carried out by detecting or measuring the corresponding sensor values using a sensor. The calculated sensor values are therefore not current or actually measured, but can be based on calculations. By validating the calculated sensor values using recorded, ie measured, sensor values, it is possible in particular to verify whether the calculation model is valid, for example whether various reference variables in the calculation are correct. In particular with regard to the example of the combustion of the fuel in an internal combustion engine, various reference values must be taken into account in order to determine which pollutants are emitted by the emitter. In particular, various operating states and temperatures can be taken into account as reference variables.

According to a further embodiment of the method it can be provided that the at least one item of pollutant information is determined for at least two different areas in the detection space and/or for at least two different points in time, in particular in the past and in the future. As a result, it is possible in particular to display the pollutant information in the future and in the past, in particular in the form of a pollutant report or a pollutant forecast. The pollutant information can be output for individual areas of the detection space or for different times for different areas of the detection space. In particular, this gives a user the option of retrieving the pollutant information for specific areas in the detection space, for example how the pollutant information develops over a certain period of time or how the pollutant information is predicted for the near future.

The method can also be further developed such that the at least one item of pollutant information is determined three-dimensionally, in particular for at least one area, in particular for all areas, at at least two levels. The previously described representation of the pollutant information can therefore not only take place two-dimensionally in the detection space, but three-dimensionally, i.e. the pollutant information can be detected and output for at least two heights or strata or locations in the detection space. In particular, this allows a multi-dimensional consideration of the pollutant information, ie the information about which or how many pollutants are present at what level, at what location and at what time.

For example, the level of pollutants can be used to determine whether they are potentially dangerous for humans. If, for example, a stationary emitter is considered, in particular a chimney or a chimney, the pollutants are usually emitted at a defined level, so that they must first fall to a level that is relevant for humans, depending on weather influences or topological influences. Corresponding sensors can be arranged on suitable structures, for example on a high-rise building or a television tower or a radio mast, but also on mobile locations, for example on airplanes or aircraft, weather balloons, measuring drones and the like. The three-dimensional view of the pollutant information also allows further effects or developments of the pollutant information to be determined in neighboring areas.

Furthermore, in the described method it can be provided that the at least one item of pollutant information in at least one area is based on at least one item of environmental information, in particular air pressure and/or humidity and/or wind direction and/or cloud cover and/or topology and/or a weather phenomenon. Further environmental information, for example weather influences, is possible, which can be included in the determination or output of the pollutant information, for example rain, fog, UV index, pollen count and the like. This makes it possible, in particular, to identify where pollutants are currently being generated or emitted based on the pollutant information and where they are being moved to based on the environmental information. For example, pollutants escaping from a chimney can be moved differently based on the environmental information and ultimately reach different positions at a height that is relevant for people.

According to a further embodiment of the method, provision can be made for at least one route, along which at least one motor vehicle is being moved, to be defined and/or changed based on a generated map relating to the pollutant information. According to this refinement, route planning or rerouting of a route is therefore possible based on the at least one item of pollutant information. In particular, provision can be made not to control the traffic flow, as is usual, based on flow optimization or a reduction in the general volume, but to carry out load-optimized, ie pollution-optimized control for at least one area of the detection area. It can be provided in particular that certain limit values in certain regions or areas of the detection space not be exceeded. Consequently, if a limit value is exceeded or threatened to be exceeded in one area of the detection area, it is possible to divert at least one motor vehicle or to split up a traffic flow, so that the pollutants emitted by the motor vehicles are emitted in other areas of the detection area and the already pre-polluted area is no longer passed burden.

The output of the pollutant information can be based on a database in particular. The database can be used as a basis for the display or a described map, in particular a so-called “air quality map”. As described above, the database can be fed with sensor data or sensor values via the multiplicity of sensors. Both internal and external sensors can be understood here, for example in relation to a control device or a motor vehicle. It is also possible to carry out internal calculations, for example via a system controller, based in particular on variables known for an internal combustion engine or a heating system, such as an injection quantity, compression, efficiency, combustion temperature, exhaust gas recirculation and the state of the exhaust gas aftertreatment. Products can be determined as a result of the operation of the plant. Gases in particular can be determined, for example carbon monoxide, carbon dioxide, nitrogen oxides, sulfur dioxide, ammonia and volatile organic compounds. In addition, it is possible to determine the solids produced during operation, such as soot, tire wear, in particular depending on the prevailing road surface, the composition of the tire, for example the rubber compound used, the manufacturer or the type of tire, and brake pad wear, which in turn depends on the brake disc material and / or the brake pad material can be dependent.

Gases, for example carbon monoxide, carbon dioxide, nitrogen oxides, sulfur dioxide, ammonia and volatile organic compounds, can also be determined, in particular directly detected, by means of additional sensors or external sensors relating to the motor vehicle or the system. Solids can also be detected, for example soot, tire wear, brake pad wear or volcanic ash. It is also possible to detect liquids, for example fog, and/or radiation, for example UV radiation, artificial or natural radioactivity, electromagnetic radiation, for example sensed and/or emitted by radio masts. Furthermore, it is possible to detect noise emissions, for example in traffic, in particular based on land or roads or by means of aircraft, water vehicles or trains.

The method described can also be further developed such that at least one driving mode of at least one motor vehicle is defined and/or changed based on the generated map. The control of the operation, in particular the driving operation, of the at least one motor vehicle can therefore be defined and/or changed based on the detected pollutant information, in particular represented by the map described. This can be done as part of what is known as “geofencing”. This makes it possible to delimit areas of the detection space from one another, so that individual pollutant information can be assigned to the individual areas. If one of these areas with regard to the pollutant information is above a defined limit value, for example, it is possible to adapt the driving operation of the motor vehicle to this. If, for example, pollutant information defined as a limit value is exceeded, for example a particulate matter content, the driving operation of the motor vehicle can be changed or specified such that purely electric driving is carried out in this area of the detection space in order to improve the air quality.

In addition to the method described, the invention relates to a control device, in particular a data processing device, wherein the control device is designed to carry out the method described. Of course, the control device can be hardware-based and/or software-based. The control device can include a so-called “app”, for example. The control device can be part of a mobile terminal device, a stationary terminal device or a motor vehicle, for example as part of its navigation system. It is also possible for the control device to be in the form of a component of further data processing devices, for example computers, websites and the like, which are designed in particular for displaying maps. In such map displays, the pollutant information can also be displayed or can be displayed, for example in real time and/or as a review or forecast.

In addition, the invention relates to a motor vehicle comprising a control device as described above. The motor vehicle is thus of course also designed to carry out the method described above. With regard to the motor vehicle, the control device is designed in particular to guide the motor vehicle, in particular using a navigation system, or to suggest corresponding routes. that have been defined or changed based on the recorded pollutant information.

All of the advantages, details and features described above in relation to the method can, of course, be transferred in full to the control device and the motor vehicle.

• 1 eine Steuerungseinrichtung gemäß einem Ausführungsbeispiel;
• 2 eine Darstellung einer Schadstoffinformation nach einem ersten Ausführungsbeispiel; und
• 3 eine Darstellung einer Schadstoffinformation nach einem zweiten Ausführungsbeispiel.

The invention is explained below using exemplary embodiments with reference to the figures. The figures are schematic representations and show:

• 1 a controller according to an embodiment;
• 2 a representation of a pollutant information according to a first embodiment; and
• 3 a representation of a pollutant information according to a second embodiment.

1 shows a control device 1 for detecting at least one item of pollutant information. The control device 1 can be arranged in a motor vehicle, for example. In addition or as an alternative, it is also possible to implement the control device 1 in data processing devices, in particular computers and the like. The control device 1 can be understood in particular as a hardware component or as a software component, for example itself as a data processing device or in the form of an application, in particular a so-called “app”.

The control device 1 is designed in particular to collect the pollutant information for a detection room 2 (cf. 2 , 3 ) to capture or display, for example in the form of a map. The pollutant information can relate in particular to the pollutant concentration of a pollutant in the detection space 2 .

A large number of sensors 3 , 4 are assigned to the control device 1 . Of course, each of the sensors 3, 4 can in turn be understood as a multiplicity of sensors, for example. Based on the sensors 3, 4, it is possible for the control device 1 to display the pollutant information in a time-resolved and spatially-resolved manner, namely based on the sensor values that are recorded in a time-resolved and spatially-resolved manner by means of the plurality of sensors 3, 4. Consequently, the pollutant information can be determined and presented in real time, for example in the form of a map, as described below with reference to FIG 2 and 3 is explained. Advantageously, this enables a time-resolved and location-resolved representation of the pollutant information for different locations and different points in time for the detection space 2 . In particular, reports or forecasts for different times at different locations in the detection room 2 are possible.

As described above, the sensors 3 and 4 are only to be understood as exemplary sensors assigned to the control device 1 . In this exemplary embodiment, the sensor 3 is designed as a stationary sensor and the sensor 4 as a mobile sensor. Of course, the sensor 3 can be understood as a multiplicity of stationary sensors and the sensor 4 can in turn be understood as a multiplicity of mobile sensors which each transmit sensor values to the control device 1 in order to feed a database of the control device 1 in this way.

The sensor 3 embodied as a stationary sensor, for example, can be arranged in particular on a building or on the side of the building, for example on a factory or on a house or a chimney or a chimney. The sensor 4 embodied as a mobile sensor, for example, can in turn be understood as a sensor 4 which is assigned to a mobile device or a vehicle. In particular, the sensor 4 can be arranged on an aircraft, for example an airplane, or a motor vehicle, for example a car, or a ship or a rail vehicle. Correspondingly, it is possible in particular with the sensor 4 to acquire sensor values at different locations in the acquisition space 2 with the same sensor 4 since, as previously described, the sensor 4 is movable. Since the sensor 4 can be understood as a multiplicity of sensors, comprehensive detection of the pollutant information or the sensor values on which the pollutant information is based is possible at a wide variety of locations at different times. Likewise, the multiplicity of sensors 3, which can be understood as stationary sensors, enable comprehensive detection of individual sensor values at the specified locations.

In addition to the direct, actual detection or measurement of sensor values, it is possible with the sensors 3, 4 or some sensors from the multiplicity of sensors 3, 4 to calculate sensor values instead of actually detecting or measuring them. For example, the sensor 3, which, as described above, is assigned to a stationary device, can calculate corresponding sensor values for the provision of the pollutant information, knowing the emission behavior of the device to which the sensor 3 is assigned. For example, the sensor 3 can be supplied with which pollutants are emitted in which operating states of the device. Is aware of the present operating state or operating point it is therefore possible to carry out an accurate calculation of the pollutants emitted.

With regard to the sensor 4, it is also possible, knowing the emission behavior of a mobile device to which the sensor 4 is assigned, to carry out a calculation of sensor values. If the mobile device is a motor vehicle, for example, which has a sensor 4, a comparatively precise calculation of the currently emitted pollutants is possible with knowledge of the operating point and the operating state of the motor vehicle, for example the currently injected fuel quantity, the combustion temperature and other reference values . As described above, it is thus possible to use the sensors 3, 4 or individual sensors 3, 4 from the plurality of sensors 3, 4 to carry out a calculation of sensor values. Of course, it is also possible to use the sensors 3, 4 or the same or different sensors 3, 4 to record the corresponding sensor values, i.e. to measure them directly, and to make them available for recording the pollutant information.

In addition, corresponding validations or plausibility checks of the recorded sensor values can be carried out. For example, a measured sensor value can be validated or checked for plausibility by a calculated sensor value and vice versa. Both the sensors 3 and the sensors 4 can be designed to calculate and measure sensor values and receive a corresponding calculation or measurement from other sensors 3, 4 to validate the sensor values. Of course, it is also possible to carry out such a validation "crosswise", i.e. that a calculation of a sensor 4 can be validated based on the measurements of a sensor 3 or vice versa.

In 2 a map of the detection space 2 is shown schematically, which has four areas 5-8 merely by way of example. The sensors 3, 4, which, as described above, are designed as a large number of sensors or are exemplary for such a large number, can ultimately be distributed arbitrarily over the individual areas 5-8. A possible equal distribution is of course desirable. As explained above, the sensors 4 are mobile, ie their location can change over time, since they are mounted on a vehicle, for example. Due to the large number of sensors 3, 4, which are arranged distributed over the detection space 2, it is possible to ensure a time resolution and/or a spatial resolution of the pollutant information in a significantly improved manner.

By including individual environmental influences, it is also possible to make a forecast of the pollutant information, i.e. pollutants currently produced or present in area 5 can be moved to other areas 6-8 based on the environmental influences. For this purpose, the control device 1 can take various pieces of environmental information into account. In particular, the control device 1 can take into account an air pressure and/or an air humidity and/or a wind direction and/or a degree of cloudiness and/or a topology and/or a weather phenomenon and, based thereon, record or process the pollutant information for the respective areas 5-8 of the detection space 2 . determine. For example, knowing the prevailing wind directions or other environmental information, it can be determined how the pollutants currently present in area 5 can spread to the other areas 6-8. Of course, this applies to each of the areas 5-8 of the detection space 2.

The control device 1 is therefore able to use the example in 2 generate the map shown, so ultimately a user has the opportunity to call up which pollutant information for which of the areas 5-8 of the detection space 2 is present. It is thus possible to understand a future development of the pollutant information in the individual areas 5-8. Furthermore, in addition to this, a report of the past times for the individual locations in the areas 5-8 of the detection space 2 can also be displayed.

If the control device 1 is assigned to a motor vehicle, a route of the motor vehicle, in particular calculated or generated by the navigation system of the motor vehicle, can be defined and/or changed if there is a corresponding load of pollutants in one of the areas 5-8. For example, if there is an increased concentration of pollutants in area 5, a route that is intended to take the motor vehicle from area 6 to area 8 can be undertaken independently of traffic flow optimization or the definition of a route that is as short or efficient or fast as possible will. A different route can be suggested via area 7 if the pollutant information allows this for area 7.

Furthermore, the pollutant information for area 7 can indicate that there are comparatively few pollutants in the air. By diverting the route originally planned or to be planned on the basis of common algorithms via area 5, area 7 is preferred since the route through area 5 would lead to further generation of pollutants in area 5, which is already polluted. Instead, the emergence of pollutants in the area 5 be reduced or shifted to area 7, since the route can be diverted via area 7, ie changed or fixed.

It is also possible to determine driving operation of the motor vehicle based on the pollutant information in the detection space 2 . If, as in the previous example, the motor vehicle is to be moved from area 6 via area 5 to area 8 and if there is pollutant information in area 5 that indicates an increased presence of pollutants in area 5, the driving operation of the motor vehicle can be adjusted accordingly set and/or changed. For example, the driving operation of the motor vehicle can be adjusted in such a way that conventional driving is used in areas 6 and 8 and driving is switched to electric driving in area 5, which is heavily contaminated with pollutants, in order to prevent further generation or emission of pollutants in to prevent area 5.

3 shows a three-dimensional representation of the detection space 2, like this two-dimensional previously in relation to FIG 2 was described. Merely by way of example, the detection space 2 here comprises a plurality of strata or layers, which stand for the detection of the pollutant information at individual heights. Ultimately, therefore, the pollutant information in the embodiment 2 for areas 5-8 was two-dimensional, ie time-resolved and/or spatially-resolved, extended to a third dimension. In 3 the pollutant information is recorded in the detection space at different heights. The pollutant information is recorded based on the sensor values at the individual heights, ie measured and/or calculated in particular.

In order to record the sensor values at different heights in order to generate the individual layers or layers of the three-dimensional representation, it is possible, among other things, to use corresponding sensors 3, 4. Sensors 3 can thus be arranged at different heights on the building side, for example on high-rise buildings, chimneys, chimneys, radio masts, television towers and the like. Of course, it is also possible to arrange several sensors 3 on the same building at different heights. Sensors 4 can also be arranged on mobile devices that move at different heights, for example weather balloons, measuring drones, helicopters, airplanes and the like.

As described above, it can be determined for the individual areas 5-8 of the detection space 2, taking into account the environmental information, how the pollutant information develops or changes in the future. In particular, pollutants produced in an area 5-8 can be moved to other areas 5-8 on the basis of available environmental information. In particular, the level of pollutants can be included. In particular, this makes it possible to include whether the pollutants were generated at a level relevant for humans or are currently at such a level, or when and where they reach such a relevant level.

The advantages, details and features described in the individual exemplary embodiments can be transferred to one another, exchanged and combined. In addition to the control device 1 shown, a network of several control devices 1, which are connected to one another and to the multiplicity of sensors 3, 4, can also be provided.

reference list

1

control device

2

detection space

3, 4

sensor

5-8

Area

Claims (12)

Method for detecting at least one item of pollutant information, in particular a pollutant concentration in at least one area (5 - 8) of a detection space (2), with sensor values being detected in a time-resolved and spatially-resolved manner using a large number of sensors (3, 4) and based on the detected sensor values at least pollutant information is determined in real time and a representation, in particular a map, of the detection space (2) is generated, in which the at least one specific pollutant information for the at least one area (5 - 8) is displayed. procedure after claim 1 , characterized in that at least one sensor value is recorded by means of at least one stationary sensor (3, 4) and/or by means of at least one mobile sensor (3, 4). procedure after claim 1 or 2 , characterized in that at least one sensor (3, 4) is arranged based on the building, in particular in the area of at least one stationary emitter, and/or at least one sensor (3, 4) is arranged based on the vehicle, in particular in the area of at least one mobile emitter. Method according to one of the preceding claims, characterized in that the pollutant information is determined on the basis of detected and/or calculated sensor values. Method according to one of the preceding claims, characterized in that the calculated sensor values are validated by recorded sensor values and/or a validation of recorded sensor values is carried out by calculated sensor values. Method according to one of the preceding claims, characterized in that the at least one item of pollutant information is determined for at least two different areas (5 - 8) in the detection space (2) and/or for at least two different points in time, in particular in the past and in the future will. Method according to one of the preceding claims, characterized in that the at least one item of pollutant information is determined three-dimensionally, in particular for at least one area (5 - 8), in particular for all areas (5 - 8), at at least two levels. Method according to one of the preceding claims, characterized in that the at least one item of pollutant information in at least one area (5 - 8) is based on at least one item of environmental information, in particular air pressure and/or air humidity and/or wind direction and/or cloud cover and/or or a topology and/or a weather phenomenon. Method according to one of the preceding claims, characterized in that at least one route along which at least one motor vehicle is being moved is determined and/or changed based on a generated map. Method according to one of the preceding claims, characterized in that at least one driving mode of at least one motor vehicle is defined and/or changed based on the generated map. Control device (1), in particular data processing device, characterized in that the control device (1) is designed to carry out the method according to one of the preceding claims. Motor vehicle comprising at least one control device (1) according to the preceding claim.

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