METHOD AND SYSTEM FOR PERFORMING MANAGEMENT OF A LUMINAIRE NETWORK

Abstract

A method of performing management in a luminaire network comprising a plurality of luminaires and control system, each luminaire being configured to operate in accordance with at least one profile which defines one or more settings of luminaire in function of time, said method comprising performing by said control system: retrieving traffic data from traffic database and weather data; predicting for each luminaire motion related conditions for a future period of time based on the retrieved traffic and weather data, preferably motion related conditions influencing the motion behavior of vehicles and/or pedestrians in the vicinity of the luminaire; based on predicted conditions, determining whether the at least one profile needs to be changed for said future period and/or at least one profile to be used for said future period and/or at least one value representative for at least one profile to be used for said future period.

Claims

1. A method of performing management in a luminaire network comprising a plurality of luminaires and a control system, each luminaire of said plurality of luminaires being configured to operate in accordance with at least one profile which defines one or more settings of the luminaire in function of time, said method comprising performing by said control system the steps of: retrieving traffic data from at least one traffic database, preferably vehicle and/or pedestrian traffic data; retrieving weather data; predicting for each luminaire motion related conditions for a future period of time based on the retrieved traffic data and the retrieved weather data, preferably motion related conditions influencing the motion behavior of vehicles and/or pedestrians circulating in the vicinity of the luminaire; based on the predicted motion related conditions, determining for each luminaire of said plurality of luminaires: whether the at least one profile needs to be changed for said future period; or at least one profile to be used for said future period or at least one value representative for at least one profile to be used for said future period; and optionally, storing one or more predetermined lighting rules defining one or more lighting requirements in function of motion related conditions, wherein the step of determining is based on said one or more predetermined lighting rules.

2. The method of claim 1, wherein the at least one profile comprises: a lighting profile which defines one or more lighting settings of the luminaire in function of time, a sensing profile, a data emitting profile, a sanitizing profile, or an operating profile, and, preferably, wherein the one or more lighting settings include: light intensity, lighting pattern, light spectrum (e.g. light color), or a dimming level.

3. (canceled)

4. The method of claim 1, wherein the step of predicting, the step of determining, and at least one of the steps of retrieving traffic data and retrieving weather data are performed multiple times for multiple consecutive future periods, wherein preferably said steps are performed periodically, and, preferably, wherein the method further comprises the step of adjusting a duration of a future period of said multiple consecutive future periods in function of the retrieved traffic data and/or the retrieved weather data and/or the predicted motion related conditions.

5. (canceled)

6. The method of claim 1, further comprising a step of obtaining at least one reliability value indicating the reliability of the retrieved traffic data, wherein the step of predicting and/or the step of determining is based on the at least one reliability value, and, preferably, wherein the at least one reliability value is based on a number of vehicles and/or pedestrians circulating in the vicinity of the luminaire.

7. (canceled)

8. The method of claim 1, wherein the step of retrieving traffic data comprises a step of retrieving historical first traffic data for a first period of time and retrieving second traffic data for a current moment in time or for a second period which is shorter and more recent than the first period of time, wherein the second traffic data is obtained more regularly than the first traffic data, wherein the step of predicting motion related conditions for a future period of time is based on the first and the second traffic data and on the weather data, and, preferably, wherein a traffic reliability value indicating the reliability of the second traffic data is obtained, wherein the predicting is further based on the traffic reliability value, wherein optionally a weather reliability value indicating the reliability of the weather data is obtained, and wherein optionally the predicting is further based on the weather reliability value.

9. (canceled)

10. The method of claim 1, wherein the method further comprises a step of retrieving historical traffic and/or weather data covering a first period of time, wherein the step of retrieving the weather data and/or the step of retrieving the traffic data is repeated periodically every second period of time, said first period of time being longer than said second period of time, wherein at least one first operating profile is determined based on the historical traffic and/or weather data, and wherein, based on the predicted motion related conditions, it is determined for each luminaire: whether the at least one first profile needs to be changed for said future period; or at least one second profile to be used for said future period or at least one value representative for at least one second profile to be used for said future period.

11. The method of claim 1, wherein the step of predicting for each luminaire, motion related conditions for a future period comprises selecting a class from a plurality of classes, each class being representative for predetermined motion related conditions, based on the retrieved traffic data and the retrieved weather data.

12. (canceled)

13. The method pf claim 1, wherein for each luminaire, the motion related conditions are related to any one or more of the following: vehicle and/or pedestrian traffic conditions in the vicinity of the luminaire, weather conditions in the vicinity of the luminaire, ground surface conditions in the vicinity of the luminaire; and, preferably, the method further comprises the step of transmitting of the determined at least one profile or of the determined at least one value representative for at least one profile to be used for said future period to the respective luminaire of the plurality of luminaires.

14. (canceled)

15. (canceled)

16. (canceled)

17. The method of claim 1, wherein a luminaire of the plurality of luminaires is tagged with one or more infrastructure tags representative for one or more infrastructure features and/or infrastructure uses, said one or more infrastructure tags optionally including an indication of an infrastructure use in function of time, wherein the step of determining is further based on the one or more infrastructure tags, and, preferably, wherein the one or more infrastructure tags comprise one or more of the following: a transportation stop such as a bus stop, a pedestrian crossing, a cycle crossing, a speed control bump (lying policeman), a school, a hospital, a low speed area, a residential use, a night life use, an animal crossing area, a junction, a roundabout, a conflict area.

18. (canceled)

19. The method of claim 17, further comprising retrieving a position of a luminaire of the plurality of luminaires from a luminaire network database, wherein the step of tagging the luminaire with one or more infrastructure tags comprises, based on the retrieved position, selecting at least one infrastructure use and/or infrastructure feature from an infrastructure database, said infrastructure data database storing a plurality of different infrastructure uses and/or features.

20. (canceled)

21. The method of claim 1, further comprising retrieving environmental sensor data from one or more environmental sensors associated with one or more luminaires of the plurality of luminaires, wherein the step of determining is further based on the environmental sensor data, and, preferably, wherein the one or more environmental sensors comprise: a light sensor, an image sensor, a motion detector, sound sensor, a radar sensor, a pollution sensor, a humidity sensor, a temperature sensor, a light pattern sensor, or a virus detection sensor.

22. (canceled)

23. The method of claim 1, wherein the one or more traffic databases include: a database containing for a number of locations at least one of a number of vehicles and/or pedestrians that has passed that location during a predefined time period, an average speed of the vehicles and/or pedestrians at that location, and a ground surface state; a database based on traffic information from users of navigation system; a database with data retrieved via toll stations; a database with data derived from mobile communications (e.g. data based on cell phone localization); or a database with data based on RDS-TMC (Radio Data System—Traffic Message Channel) traffic messages.

24. A computer program comprising computer-executable instructions to perform the method, when the program is run on a computer, of claim 1.

25. A control system for a luminaire network comprising a plurality of luminaires, each luminaire of said plurality of luminaires being configured to operate in accordance with at least one profile which defines one or more settings of the luminaire in function of time, said control system being configured for: retrieving traffic data from at least one traffic database; retrieving weather data; predicting for each luminaire the motion related conditions for a future period of time based on the retrieved traffic data and the retrieved weather data; based on the predicted motion related conditions, determining for each luminaire of said plurality of luminaires: whether the at least one profile needs to be changed for said future period; or at least one profile to be used for said future period or at least one value representative for at least one profile to be used for said future period.sup.. and optionally, retrieving environmental sensor data from one or more environmental sensors associated with one or more luminaires of the plurality of luminaires, and performing the determining further based on the environmental sensor data.

26. (canceled)

27. The control system of claim 25, wherein the predicting, the determining, and at least one of the retrieving of traffic data and the retrieving of weather data are performed multiple times for multiple consecutive future periods, wherein preferably said steps are performed periodically, and wherein optionally the control system is further configured to adjust a duration of a future period of said multiple consecutive future periods in function of the retrieved traffic data and/or the retrieved weather data and/or the determined predicted motion related conditions.

28. (canceled)

29. The control system of claim 25, wherein the control system is configured to tag a luminaire of the plurality of luminaires with one or more infrastructure tags representative for one or more infrastructure features and/or infrastructure uses, and to perform the determining based on the one or more infrastructure tags, and wherein optionally the one or more infrastructure tags include an indication of an infrastructure use in function of time.

30. (canceled)

31. The control system of claim 25, further configured to obtain at least one reliability value indicating the reliability of the retrieved traffic data, wherein the step of predicting and/or the step of determining is based on the at least one reliability value, and, preferably, wherein the at least one reliability value is based on a number of vehicles and/or pedestrians circulating in the vicinity of the luminaire.

32. (canceled)

33. The control system of claim 25, wherein the step of retrieving traffic data comprises a step of retrieving historical first traffic data for a first period of time and retrieving second traffic data for a current moment in time or for a second period which is shorter and more recent than the first period of time, wherein the second traffic data is obtained more regularly than the first traffic data, and wherein the step of predicting motion related conditions for a future period of time is based on the first and the second traffic data and on the weather data, and optionally on a traffic reliability value indicating the reliability of the second traffic data.

34. The control system of claim 25, further configured to obtain historical traffic and/or weather data covering a first period of time, wherein the step of retrieving the weather data and/or the step of retrieving the traffic data is repeated periodically every second period of time, said first period of time being longer than said second period of time, wherein the control system is configured to determine at least one first operating profile based on the historical traffic and/or historical weather data, and, wherein, based on the predicted motion related conditions, it is determined for each luminaire: whether the at least one first profile needs to be changed for said future period; or at least one second profile to be used for said future period or at least one value representative for at least one second profile to be used for said future period.

35. (canceled)

36. A method of performing management in a luminaire network comprising a plurality of luminaires and a control system, each luminaire of said plurality of luminaires being configured to operate in accordance with at least one profile which defines one or more settings of the luminaire in function of time, wherein a luminaire of the plurality of luminaires is tagged with one or more infrastructure tags representative for one or more infrastructure features and/or infrastructure uses, said method comprising performing by said control system the steps of: retrieving traffic data from at least one traffic database, preferably vehicle and/or pedestrian traffic data, and/or retrieving weather data; predicting for each luminaire motion related conditions for a future period of time based on the retrieved traffic data and/or the retrieved weather data, preferably motion related conditions influencing the motion behavior of vehicles and/or pedestrians circulating in the vicinity of the luminaire; and based on the predicted motion related conditions and the one or more infrastructure tags, determining for each luminaire of said plurality of luminaires: whether the at least one profile needs to be changed for said future period; or at least one profile to be used for said future period or at least one value representative for at least one profile to be used for said future period.

Description

BRIEF DESCRIPTION OF THE FIGURES

[0056] The accompanying drawings are used to illustrate presently preferred non-limiting exemplary embodiments of devices of the present invention. The above and other advantages of the features and objects of the invention will become more apparent and the invention will be better understood from the following detailed description when read in conjunction with the accompanying drawings, in which:

[0057] FIG. 1 illustrates a flow chart of an exemplary embodiment of a method for managing a luminaire of a luminaire network;

[0058] FIG. 2 is a schematic diagram illustrating a luminaire network according to an exemplary embodiment; and

[0059] FIG. 3 illustrates a flow chart of an exemplary embodiment of a method for managing a luminaire of a luminaire network.

DESCRIPTION OF EMBODIMENTS

[0060] FIG. 1 illustrates a first embodiment of a method of performing management in a luminaire network. The luminaire network comprises a plurality of luminaires and a control system. A luminaire of said plurality of luminaires is configured to operate in accordance with at least one profile which defines one or more settings of the luminaire in function of time. The luminaire typically comprises a light source, an optical element, one or more further components such as a sensor or a communication interface, and a driver for driving the light source and optionally for driving also one or more further components. Typically the luminaire is an outdoor luminaire as defined above with a luminaire head or a luminaire pole module having a housing comprising at least the light source and the optical element. The luminaire head may be mounted on a base, typically a pole, either in a post-top or side-entry configuration. Examples of such luminaire heads are disclosed in Dutch patent applications NL2023431 and NL2025081 in the name of the applicant which are included herein by reference.

[0061] A luminaire pole module may be part of a modular luminaire comprising multiple pole modules arranged one above the other. Examples such modular luminaires are disclosed in EP3076073B1, WO2019043045A1, WO2019053259A1, and NL2024248 in the name of the applicant which are included herein by reference.

[0062] The method comprises performing the following steps by a control system. The control system may be a centralized control system at a location remote of the luminaires of the luminaire network but may also be a distributed control system in which a part of the controlling is done within the luminaires

[0063] In a first step 11, the following data is retried: traffic data (current and/or historical) from at least one traffic database and weather data (current and/or forecast). The one or more traffic databases may include one or more of the following: a database containing for a number of locations at least one of a number of vehicles and/or pedestrians that has passed that location during a predefined time period and an average speed of vehicles and/or pedestrians at that location and/or a ground surface state (e.g. icy road, road covered with snow, flooded road, etc.), a database based on traffic information from users of navigation system, a database with data retrieved via toll stations, a database with data derived from mobile communications (e.g. data based on cell phone localization), a database with data based on RDS-TMC (Radio Data System—Traffic Message

[0064] Channel) traffic messages, a database with information about events, in particular mass events. Optionally, also other data, such as sensor data may be retrieved, e.g. locally in one or more luminaires For example, a luminaire may be provided with a detection means configured to count the number of people or vehicles that have passed in the vicinity of the luminaire, or to measure the average speed, or to take images with information about the environment in the vicinity of the luminaire Such information may be retrieved also by the control system. Alternatively or in addition, the locally sensed data may be used locally, and the determined profile may be adjusted locally in function of locally sensed data.

[0065] According to an exemplary embodiment, the control system is configured for counting a number of persons in the vicinity of the one or more luminaire systems. For example, the control system may be configured for counting a number of persons that have passed through a predetermined area in the vicinity of multiple luminaire systems of the luminaire network and for determining a movement pattern. Also such computed data may be used by the control system, thereby allowing improvement in prediction step 12 discussed below.

[0066] The step of retrieving weather data may comprise retrieving weather data (current and/or forecast) from at least one weather database and/or retrieving weather data sensed by a sensor associated with one or more luminaires of the plurality of luminaires.

[0067] In a second step 12 the motion related conditions are predicted for each luminaire for a future period of time, based on the data retrieved in step 11. The motion related conditions may be related to any one or more of the following: vehicle and/or pedestrian traffic conditions in the vicinity of the luminaire, weather conditions in the vicinity of the luminaire, ground surface conditions in the vicinity of the luminaire, and more generally to any conditions influencing the motion of vehicles (e.g. automobiles or bicycles) and/or pedestrians and/or animals circulating in the vicinity of the luminaire, which are relevant for setting a profile, such as a lighting profile, which defines one or more settings of the luminaire in function of time.

[0068] In a third step 13, the predicted motion related conditions for the future period are used for determining for each luminaire of said plurality of luminaires whether the at least one profile needs to be changed for said future period. In the example of FIG. 1 the at least one profile is a lighting profile, but instead or in addition another profile could be used as has been explained above in the summary In addition or alternatively, the predicted weather conditions may be used for determining for a luminaire of said plurality of luminaires whether the at least one profile needs to be changed for said future period. For example, in step 13, if the motion related conditions predicted in step 12 show minimal changes compared to the motion related conditions of a past period, it may be determined that the at least one profile does not need to be changed, in which case the method returns to step 11. If it is determined that the at least one profile requires a change, then in step 14 at least one updated profile is determined for the future period. Alternatively, at least one value representative for at least one profile for use in said future period is determined based on the predicted motion related conditions.

[0069] In a fourth step 17, the at least one determined profile is transmitted by the control system to the respective luminaire Optionally further fine-tuning of the at least one determined profile may take place in the respective luminaire, e.g. based on real-time locally sensed data.

[0070] It is noted that steps 13 and 14 could also be a single step in which at least one profile or value representative for at least one profile for said future period is determined regardless of whether the motion related conditions have changed compared to a previous period. In such an implementation the determined at least one profile could then be identical to the current at least one profile (determined for a previous period).

[0071] Optionally one or more predetermined lighting rules defining one or more lighting requirements in function of weather and/or motion related conditions may be stored, and step 13 and/or 14 may be based on said one or more predetermined lighting rules, see reference numeral 15. Such lighting rules can be derived from a lighting regulation or standard applicable in the area where a luminaire is located. Multiple regulations may exist at different hierarchical levels, such as city, state, national. In addition or alternatively, also other regulations, e.g. regulations with regard to sensed data or communication regulations may be taken into account when performing step 13 and/or 14.

[0072] The skilled person will understand that the storing of one or more predetermined lighting rules as described above can similarly be applied to operating rules of other devices included in a luminaire, e.g. sensing rules, data emitting rules, sanitizing rules, etc.

[0073] Optionally, a luminaire of the plurality of luminaires may be tagged with one or more infrastructure tags representative for one or more infrastructure features and/or infrastructure uses, and step 13 and/or 14 may be further based on the one or more infrastructure tags, see reference numeral 15 in FIG. 1. The one or more infrastructure tags comprise one or more of the following: a transportation stop such as a bus stop, a pedestrian crossing, a cycle crossing, a speed control bump (lying policeman), a school, a hospital, a low speed area, a residential use, a night life use, an animal crossing area, a junction, a roundabout. In order to associate an infrastructure tag to a luminaire, the method may further comprise retrieving a position of a luminaire of the plurality of luminaires from a luminaire network database; and based on the retrieved position, selecting at least one infrastructure use and/or infrastructure feature from an infrastructure database, said infrastructure data database storing a plurality of different infrastructure uses and/or features. The one or more infrastructure tags may include an indication of an infrastructure use in function of time.

[0074] Optionally the method further comprises retrieving environmental sensor data from one or more environmental sensors associated with one or more luminaires of the plurality of luminaires; and the step 13 and/or 14 may be further based on the environmental sensor data. The one or more environmental sensors may comprise one or more of the following: a light sensor, an image sensor, a motion detector, sound sensor, a radar sensor, a pollution sensor, a humidity sensor, a temperature sensor, a light pattern sensor, a virus detection sensor.

[0075] Preferably, the at least one profile comprises a lighting profile which defines one or more lighting settings of the luminaire in function of time. Such an example is illustrated in FIG. 1. The one or more lighting settings may include one or more of the following: light intensity, lighting pattern or light intensity distribution, light spectrum (e.g. light colour), a dimming level. For example, depending on the predicted motion related conditions, the lighting pattern could be adjusted from a lighting pattern illuminating two lanes of a road to a lighting pattern illuminating only one lane. Also, in the event of road works the lighting pattern could be adjusted. A change of the lighting pattern may be combined with a change of the light intensity and/or a change of the light colour.

[0076] Preferably, the steps 11, 12, 13, 14 are performed multiple times for multiple consecutive future periods, wherein preferably said steps 11, 12, 13, 14 are performed periodically.

[0077] Optionally, the method may comprise a further step 16 of adjusting a duration of a future period of time in function of the retrieved traffic data and/or the retrieved weather data and/or the predicted motion related conditions and/or in function of sensor data and/or in function of changed regulations and/or in function of a changed infrastructure use, etc.

[0078] In table 1 below an example is illustrated of how the lighting profile could vary. The first row contains multiple consecutive time periods, T1, T2, etc. In the example, the weather and traffic fluctuations are very fast for illustrative purposes but in practice the fluctuations will typically take place over many more periods, especially when the duration of the periods T1, T2 is chosen to be rather small, e.g. smaller than 15 minutes.

TABLE-US-00001 TABLE 1 time T1 T2 T3 T4 T5 T6 T7 Predicted Traffic Traffic Traffic Traffic Traffic Traffic Traffic low traffic increasing very dense very dense decreasing further low conditions decreasing Predicted Good Good Raining Heavy Light rain Light rain Good weather showers conditions Light profile in function of time: Light Linear Constant Constant Constant Linear Constant Constant intensity increase intensity intensity I3 intensity I3 decrease intensity intensity I4 from I1 at I2 from I3 to I1 (lower t = t0 to I2 I2 than I1) at t = t0 + T1 Lighting Pattern 1 Pattern 1 Pattern 2 Pattern 2 Pattern 2 Pattern 2 Pattern 3 pattern more more appropriate appropriate than than pattern 1 in pattern 1 in rainy case of low weather traffic (e.g. one lane instead of two lanes) Light Colour 1 Colour 1 Colour 2 Colour 2 Colour 2 Colour 2 Colour 1 colour more appropriate than colour 1 in rainy weather

[0079] In further developed embodiments, as explained above, also other data may be taken into account when performing step 13 and/or 14. Table 2 below illustrates an example. In this example not only a lighting profile is determined but also a pollution measurement profile. In this example, the pollution profile simply consists in activating (On) or deactivating (Off) the pollution sensor of the luminaire, but the skilled person understands that more advanced profiles are possible, e.g. specifying the frequency of the pollution measurements.

TABLE-US-00002 TABLE 2 time T1 T2 T3 T4 T5 T6 T7 Predicted Traffic Traffic Traffic Traffic Traffic Traffic low Traffic traffic increasing dense dense decreasing low increasing conditions Predicted Good Good Raining Light rain Light rain Good Good weather conditions Infrastructure School, School, School, School Students Students at School use outside of outside of outside of starts at school school ends school school school hours hours hours Light profile in function of time Light Linear Constant Constant Constant Constant Constant Constant intensity increase intensity intensity I3 intensity intensity intensity I4 intensity from I1 at I2 I3 I1 (lower I2 t = t0 to I2 than I1) at t = t0 + T1 Lighting Pattern 1 Pattern 1 Pattern 2 Pattern 2 Pattern 2 Pattern 3 Pattern 1 pattern more more appropriate appropriate than than pattern 1 in pattern 1 in rainy case of low weather traffic (e.g. one lane instead of two lanes) Light colour Colour 1 Colour 1 Colour 2 Colour 2 Colour 2 Colour 1 Colour 1 more appropriate than colour 1 in rainy weather Pollution measurement profile in function of time Off On On On Off Off On

[0080] FIG. 2 illustrates schematically an embodiment of a luminaire network infrastructure. The luminaire network comprises a plurality of luminaires 27 (see L1, L2, etc.) in direct or indirect communication with a central control system 25. The central control system 25 has access to a plurality of databases, here a traffic database 21, a weather database 22, a regulation database 23 and an infrastructure database 24. Those databases 21, 22, 23, 24 may be used as described above in connection with FIG. 1. As illustrates some luminaires L1, L4, L5 may be provided with a sensing means, here an environment sensor (e.g. any one of the environmental sensors defined above), a pollution sensor and a camera, respectively. Further some luminaires L2, L3 may be tagged with an infrastructure tag. For example, for L2 the infrastructure tag indicates a nightlife area, and for L3 the infrastructure tag indicates that the luminaire is used for illuminating a bus stop. The luminaires 27 may either communicate directly with the central control system 25, e.g. through a cellular communication, or may communicate indirectly with the central control system 25, e.g. via a segment controller 26. Also a group of luminaires 27 may be arranged in a mesh network such that luminaires of the group can communicate with each other using short range communication, wherein only some of the luminaires of the group are capable of performing long range communication with the central control system 25. It will be understood that the various embodiments of the method disclosed above can be performed by the control system 25 of FIG. 2.

[0081] According to an exemplary embodiment, the luminaire network comprises a first group of luminaires and a second group of luminaires The control system may comprise a first control means configured for collecting data sensed or received from multiple luminaire systems of the first group and/or a second control means configured for collecting data sensed or received from multiple luminaire systems of the second group. In other words, data sensed or received by the luminaire systems of the first group may be centralized in a first control means, e.g. located in one or more designated luminaire systems of the first group, and/or data sensed or received by the luminaire systems of the second group may be centralized in a second control means, e.g. located in one or more designated luminaire systems of the second group. In this way, the collected data may be processed in a structured manner, on a group level, in order to use the data in the predicting step. The first and second groups may communicate sensed or received data that have been centralized in each group to a remote device of the control system, such as a cloud or a server. In this way, data collected locally may be taken into account for predicting the motion related conditions.

[0082] FIG. 3 illustrates a method which is similar to the method of FIG. 1, but where step 13 has been omitted. As explained above, the at least one profile to be used for the future period or at least one value representative the at least one profile to be used for the future period may be determined in step 14 regardless of whether the traffic and/or weather conditions have changed compared to a previous period. In such an implementation the determined at least one profile could then be identical to the current at least one profile (determined for a previous period).

[0083] For example, a number of predetermined dimming profiles may be stored in a memory and each predetermined dimming profile may be associated with a unique identifier. Instead of determining the dimming profile to be used, an identifier of the dimming profile to be used may then be determined. The same applies for other types of profiles. For example, when a luminaire comprises a spraying means, a number of different possible activation profiles may be stored, and depending on motion related conditions predicted based on pedestrians traffic data and weather data, a different activation profile may be chosen for the spraying means. For example, spraying may be activated when it is not too windy and when it is expected that no people will be around.

[0084] In a further example, the luminaire may be installed according to a default profile, and at least one difference value indicating the difference with the default profile may be determined in step 14. In another example, the luminaire may be operating according to a currently set profile, and at least one difference value indicating the difference with the currently set profile may be determined in step 14. Further it is noted that the control system may determine at least one profile for use in said future period based on the predicted motion related conditions or at least one value representative for at least one profile for use in said future period may be determined based on the predicted motion related conditions, and that further fine-tuning of the determined at least one profile or value may be done locally within the luminaire, e.g. based on real-time sensed data.

[0085] Whilst the principles of the invention have been set out above in connection with specific embodiments, it is to be understood that this description is merely made by way of example and not as a limitation of the scope of protection which is determined by the appended claims.