Sensor device and method for evaluating air flow

Abstract

A sensor device (100) and method (800) arranged to evaluate an effect of airflow on sensor data is provided. The sensor device comprises a thermal sensor (130) arranged to record sensor data Sd, a microphone (150) arranged to record audio data Ad generated from a gas flow (170), and a processor (200) connected to the thermal sensor and the microphone. The processor is configured to: obtain recorded sensor data and recorded audio data; estimating at least one attribute Pi of the airflow based on the obtained audio data; and estimating an influence level Lf of at least one attribute Pi of the airflow on the sensor data based on at least one correlation criterion Cc between the sensor data and the audio data.

Description

Technical Field

[0001] The present invention generally relates to sensor devices and methods for evaluating the effects of airflow. More particularly, the present invention relates to a sensor device and a method that are capable of detecting "false" triggering due to airflow(s). Background Art

[0002] In the prior art, there are many devices and systems that include one or more sensors that can detect the presence and / or movement of people. This type of device is widely used in any kind of space (such as offices, homes, etc.) to turn on (off) lights when one or more people enter the space.

[0003] However, when placed carelessly, these (sensor) devices may react to "false" triggers, such as lights turning on despite no one entering and / or present in the space. For example, if the device is placed near a heating, ventilation, and air conditioning (HVAC) outlet, false triggering due to airflow may occur. However, it should be noted that, especially in offices, this cannot always be prevented due to factors such as the existing HVAC infrastructure, the location of the desk(s), the lighting grid, etc. Summary of the Invention

[0004] It is therefore desirable to provide a device and a method that may be capable of recording sensor data (such as the presence and / or movement of one or more persons) and which may evaluate the effect of (one or more) airflows on the sensor data, for example in order to detect "false" triggering of the sensor data.

[0005] It is an object of the present invention to provide an apparatus and a method which can record sensor data and evaluate the influence of any current air flow(s) on the sensor data.

[0006] This and other objects are achieved by providing a sensor device and a method having the features of the independent claims.Preferred embodiments are defined in the dependent claims.

[0007] Thus, according to a first aspect of the present invention, there is provided a sensor device arranged to evaluate the effect of airflow on sensor data. The sensor device comprises a sensor device arranged to record the sensor data S d A thermal sensor arranged to record audio data A generated from the air flow d The processor is configured to obtain the recorded sensor data and the recorded audio data, and estimate at least one property P of the airflow based on the obtained audio data. iThe processor is further configured to determine the value of the sensor data and the audio data based on at least one correlation criterion C between the sensor data and the audio data. c , estimate at least one property P of the airflow i Impact level L on sensor data f .

[0008] According to a second aspect of the present invention, there is provided a method for evaluating the effect of airflow on sensor data. The method comprises the steps of recording sensor data, recording audio data generated from the airflow, obtaining the recorded sensor data and the recorded audio data, and estimating at least one property P of the airflow based on the obtained audio data. i The method further comprises the following steps: based on at least one correlation criterion C between the sensor data and the audio data c , estimate at least one property P of the airflow i Impact level L on sensor data f .

[0009] Thus, the present invention is based on the idea of evaluating the effect of airflow on sensor data, which in turn can reveal "false" triggering of sensor data (e.g., presence and / or motion sensor data) due to airflow. The sensor device estimates one or more properties P of the airflow from audio data (i.e., sound). i , and accordingly use one or more correlations C between the recorded sensor data and the audio data c Therefore, in evaluating the impact of airflow on sensor data, the present invention effectively uses both audio data and sensor data and their (one or more) correlations C i .

[0010] An advantage of the present invention is that the sensor device is particularly effective in detecting airflow and estimating its impact on sensor data. Therefore, the sensor device is effective in detecting and / or identifying false triggering of sensor data, i.e. airflow may affect the sensor data so that, for example, the (false) presence / movement of (one or more) persons may be triggered by airflow despite the fact that no (one or more) persons are present in the space. The sensor device is particularly advantageous in cases where the space or room includes heating, ventilation and air conditioning (HVAC) outlets, as airflow from these arrangements may lead to "false triggering" of the sensor data. By evaluating the impact or impact of airflow on the sensor data, the sensor device may conveniently and efficiently contribute to the management or processing of the sensor data, for example in order to compensate for and / or ignore parts of the sensor data.

[0011] A further advantage of the present invention is that the ability of the sensor device to estimate the effect of airflow on the sensor data and the consequent ability to more accurately determine, according to one example, whether a person is present in a space or room, results in an improvement in energy efficiency and / or avoidance of unintended lighting. For example, in the event of airflow being generated and / or present in a space or room, a lighting system or arrangement coupled to the sensor device can use the assessment by the sensor device to control the lighting accordingly (e.g., to keep the lighting off) despite the fact that no one is present there. In other words, the present invention counteracts the possibility that (one or more) airflows triggering a "false" motion event could erroneously cause the lighting system or arrangement to turn on (one or more) lights despite the fact that the space or room is unoccupied.

[0012] Another advantage of the present invention is that the sensor device comprises relatively few components, which has several beneficial effects. For example, the present invention means easy installation, unobtrusive (due to its relatively small size), and a construction that is not prone to failure.

[0013] A sensor device arranged to evaluate the effect of an air flow on sensor data according to a first aspect of the invention comprises a sensor device arranged to record the sensor data S d The term "thermal sensor" as used herein essentially means any thermal sensor, such as, for example, a passive infrared (PIR) sensor, an infrared (IR) sensor, a thermopile sensor, etc. Therefore, "sensor data" as used herein means data recorded by the thermal sensor, wherein the sensor data may be emitted from, for example, a moving person, a moving fan, and / or a combination thereof. The sensor device further comprises a microphone, which is arranged to record audio data generated from the airflow. Thus, the microphone of the sensor device records audio data, e.g. in the form of noise, generated by the airflow. The sensor device further comprises a processor connected to the sensor and the microphone, wherein the processor is configured to obtain the recorded sensor data and the recorded audio data. Thus, the processor, which may be connected to the sensor and the microphone via a wireless or wired connection, may obtain or receive the sensor data and the audio data as recorded. Based on the obtained audio data, the processor is configured to estimate at least one property P of the airflow. i Thus, the processor is configured to estimate one or more properties P of the existing airflow i The term "property" here basically means any property or characteristic of the airflow, such as the magnitude (size, amplitude or intensity) of the airflow. The processor is further configured to determine the value of the airflow based on at least one correlation criterion C between the sensor data and the audio data. c , estimate at least one property P of the airflow i Impact level L on sensor data f Therefore, the processor is further configured to determine the value of the sensor data and the audio data based on one or more correlation criteria C between the sensor data and the audio data.c , estimate (one or more) airflow properties P i Impact level L on sensor data f , i.e. (one or more) airflow properties P i The degree or extent to which the sensor data is affected. "Correlation criteria" here basically means any criteria regarding the correlation and / or connection between the sensor data and the audio data. The correlation criteria can be predefined. The correlation criteria can be stored in the memory or the processor.

[0014] According to an embodiment of the present invention, the audio data A d A spectrogram of amplitude as a function of frequency may be included. Thus, audio data A generated from an airflow d May include a (frequency) spectrogram where the audio data A d The amplitude of the audio data A d It should be noted that the audio data A d The spectrogram can indicate one or more properties of the airflow P i , and an advantage of this embodiment is that the processor can be configured to infer and / or estimate the property(ies) P i , thereby improving (one or more) properties P i For sensor data S d The impact level L f For example, the spectrogram may indicate the magnitude of the airflow, and the processor may be configured to infer and / or estimate the airflow magnitude based on the spectrogram. Therefore, an advantage of this embodiment is that the sensor device can effectively evaluate the effect of the airflow on the sensor data S d impact.

[0015] According to an embodiment of the present invention, at least one attribute P i The magnitude of the airflow may be included. Here, "magnitude" means the size, range, strength, speed, or the like of the airflow. It should be noted that relatively large airflow magnitudes can significantly affect the sensor data S d , and thus the advantage of this embodiment is that the efficiency of detecting and / or identifying false triggering of sensor data is enhanced. For example, in the case where the processor estimates a relatively small airflow level, the processor can estimate that the airflow has a significant effect on the sensor data S d Relatively low or limited impact level L f In contrast, in the case where the processor estimates a relatively large airflow level, the processor may estimate the airflow to be proportional to the sensor data S d The relatively large or significant effect level L f .

[0016] According to aspects, the thermal sensor may include a device for detecting motion of at least one object in a space, wherein the processor may be configured to detect motion of at least one object in a space based on at least one property P of the airflow. i For sensor data S d The estimated impact level L f The setting may be, for example, the sensitivity of a thermal sensor. If the estimated impact level exceeds a predefined threshold, the processor may control the thermal sensor to reduce its sensitivity.

[0017] For example, in one embodiment, the thermal sensor may include a sensitivity in sensing, wherein the processor may be configured to control the thermal sensor to reduce the sensitivity if the estimated impact level of at least one property exceeds a predefined threshold.

[0018] The setting may be, for example, a detection mode of a thermal sensor.

[0019] For example, if the estimated impact level exceeds a predefined threshold, the processor can control the thermal sensor to turn off detection, that is, operate in a non-detection detection mode; and / or if the estimated impact level is lower than a predefined threshold, the processor can control the thermal sensor to keep detecting, that is, operate in a detection detection mode, that is, detection is turned on.

[0020] For example, in various embodiments, the processor is configured to control the thermal sensor to stop recording sensor data, or temporarily stop recording sensor data, or stop sensing when the estimated impact level of at least one property exceeds a predefined threshold.

[0021] Such an embodiment reduces false triggering because the thermal sensor may not be falsely triggered by detected airflow (eg, caused by HVAC) because the thermal sensor is turned off or has reduced sensitivity.

[0022] According to an embodiment of the present invention, the sensor device may further include at least one element including at least one of an opening, a cavity, and a groove configured to generate an audible resonance of the airflow, wherein the obtained audio data includes the audible resonance. Thus, the (one or more) elements of the sensor device may generate an audible resonance of the airflow by standing waves in the opening, cavity, and / or groove. An advantage of this embodiment is that, for example, the sensor device may conveniently detect one or more properties P of the airflow as a function of the audible resonance characteristic (such as the airflow level). i Therefore, this results in the sensor device to the air flow sensor data S d The impact level L f An even more improved estimate of

[0023] According to an embodiment of the present invention, the sensor device may further comprise a first accelerometer arranged to record first vibration data V generated from the air flow. d1 , wherein the processor is connected to the first accelerometer and is configured to obtain recorded first vibration data V d1 The processor is further configured to generate a signal based on the sensor data and the first vibration data V d1 At least one correlation criterion C between d , estimate at least one property P of the airflow i For sensor data S d The impact level L f The advantage of this embodiment is that the sensor device can generate the first vibration data V based on the record generated from the air flow. d1 Therefore, the sensor device can realize the detection of (one or more) airflow properties P i For sensor data S d The impact level L f An even more improved estimate of

[0024] According to an embodiment of the present invention, the processor is further configured to: d The processor is further configured to determine the operation of at least one fan based on the sensor data S d and at least one correlation criterion C between the operation of at least one fan c2 , estimated airflow for sensor data S d The impact level L f Thus, the sensor device may determine and / or estimate that the airflow is generated by one or more fans (rather than any airflow generated by other devices, events, or the like (such as a moving person)), and accordingly estimate the level of influence L of the airflow property(s) on the sensor data. f The advantage of this embodiment is that, due to the operation of the fan, the air flow sensor data S can be realized. d An even more precise estimate of the impact of

[0025] According to an embodiment of the present invention, the sensor device may further comprise a magnetometer arranged to record magnetic data M generated from the operation of the at least one fan. d , wherein the processor is connected to the magnetometer and is configured to obtain the recorded magnetic data. The processor is further configured to determine the magnetic data based on at least one correlation criterion C between the sensor data and the magnetic data. e , estimate at least one attribute of the airflow for the sensor data S d The impact level L f. Thus, the processor can determine the operation of one or more fans, and since the fan(s) can generate a magnetic field during operation, the sensor device can estimate the effect of airflow on the sensor data based on the correlation between the sensor data and the magnetic data. Thus, in addition to the correlation between the sensor data and the audio data, the sensor device also considers the correlation between the sensor data and the magnetic data when estimating the effect of airflow on the sensor data. An advantage of this embodiment is that the sensor device can achieve an even more accurate estimate of the effect of airflow on the sensor data.

[0026] According to an embodiment of the present invention, the sensor device may further comprise a first temperature sensor arranged to record temperature data, wherein the first temperature sensor is arranged within a predetermined distance d1 of the thermal sensor and is connected to the processor. The processor is further configured to obtain the recorded temperature data and estimate at least one property P of the airflow based on the obtained temperature data. i For sensor data S d The impact level L f The expression "arranged within a predetermined distance d1" here means within a relatively small distance d1 or radius from the thermal sensor. Thus, the first temperature sensor can thereby record the temperature of the sensor device, or at least the temperature in the vicinity of the sensor device (which is related to the ambient temperature). An advantage of this embodiment is that the airflow property (s) P of the airflow is i For sensor data S d The impact level L f An even more accurate estimate.

[0027] According to an embodiment of the present invention, the sensor device may further include a second temperature sensor arranged to record ambient temperature data, wherein the second temperature sensor is arranged outside the predetermined distance d2 of the thermal sensor and is connected to the processor. The processor is further configured to obtain the recorded ambient temperature data and estimate at least one property P of the airflow based on the obtained ambient temperature data. i For sensor data S d The impact level L f The expression "arranged outside the predetermined distance d2" here means outside a relatively large distance d2 or radius from the thermal sensor. Thus, in addition to the audio data and the sensor data, the processor of the sensor device may also take into account (ambient) temperature data for estimating the effect of the airflow on the sensor data S d For example, it can be assumed or expected that the airflow affects the temperature (e.g., through temperature increases, decreases and / or fluctuations). The advantage of this embodiment is that it can achieve (one or more) properties P of the airflow. iAn even more accurate determination of the airflow property(s) P is obtained by the sensor device of the present invention. i For sensor data S d more accurate estimates of the impact.

[0028] According to an embodiment of the present invention, a sensor arrangement is provided, which is arranged to detect the motion of at least one object in space, wherein the sensor arrangement comprises a sensor device according to any of the preceding embodiments. The processor is further configured to detect the motion of at least one object in space based on at least one property P of the airflow. i For sensor data S d The estimated impact level L f to detect the motion of at least one object in a space. The term "object" here generally means one or more persons. This embodiment is particularly advantageous in revealing "false" triggering of sensor data (e.g., presence and / or motion sensor data of (one or more) objects) due to airflow. For example, in the case of (one or more) airflow properties P estimated by the sensor device, i For sensor data S d The impact level L f In the case of a relatively high probability, it can be estimated or determined that the possibility of the object (person) existing or moving in the space is relatively low. In contrast, in the case of (one or more) airflow properties P estimated by the sensor device i For sensor data S d The impact level L f With relatively low probability, it can be estimated or determined that the likelihood of object(s) (person(s)) being in the space is high.

[0029] According to an embodiment of the present invention, a sensor arrangement is provided comprising at least one fan, wherein the audio data A d Also generated from audible sounds caused by operation of the at least one fan.

[0030] According to an embodiment of the present invention, the sensor arrangement may further comprise a second accelerometer arranged to record second vibration data V generated from the at least one fan. d2 , wherein the processor is connected to the second accelerometer and is configured to obtain recorded second vibration data V d2 , where, based on the sensor data S d and the second vibration data V d2 At least one correlation criterion C between g The processor is further configured to estimate at least one property P of the airflow i For sensor data S d The impact level L fThus, the fan(s) may generate vibrations during operation which may be recorded by the second accelerometer, for example via the ceiling, and the processor may be configured to estimate the air flow response to the sensor data S based on these vibrations. d It should be noted that the first vibration data V is arranged to record the first vibration data V generated from the air flow. d1 a first accelerometer and a second vibration data V arranged to record vibration data V generated from the fan(s) d2 The second accelerometer may be a different accelerometer or alternatively constitute one (single) accelerometer. In case the present embodiment of the (second) accelerometer is combined with the embodiment of the magnetometer of the sensor device, it should be noted that vibrations causing vibrations / movements of the fan(s) may also cause a changing magnetic field relative to the static magnetic field.

[0031] According to an embodiment of the present invention, the sensor arrangement may further comprise a storage medium connected to the microphone and the processor, wherein the storage medium is configured to store the recorded audio data. The processor is configured to determine interrupted operation of at least one fan based on the stored audio data. An advantage of this embodiment is that the sensor arrangement can detect a failure and / or damage to (one or more) fans, and this information can be used by the sensor arrangement to determine one or more airflow properties P i Estimation of the impact on sensor data.

[0032] According to an embodiment of the present invention, a lighting system is provided, comprising at least one light source and a sensor arrangement according to one or more of the preceding embodiments. The sensor device is connected to the at least one light source, and wherein the sensor device is configured to operate the at least one light source based on a detected motion of at least one object in the space, the motion being based on at least one property P of the air flow. i For sensor data S d The estimated impact level L f It will be appreciated that this embodiment is particularly advantageous in terms of energy efficiency. For example, in the event that an air flow is generated and / or exists in a space or room, even though no one is present there, the lighting system may use at least one property P of the air flow determined by the sensor device. i For sensor data S d The relatively high estimated impact level L f In other words, an air flow(s) that triggers a "false" motion event may erroneously cause a lighting system or arrangement to turn on(s) lights even though the space or room is unoccupied.

[0033] Further objects, features and advantages of the present invention will become apparent when studying the following detailed disclosure, the drawings and the appended claims.Those skilled in the art will realize that different features of the present invention can be combined to create embodiments other than those described in the following. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] This and other aspects of the present invention will now be described in more detail, with reference to the appended drawings showing embodiment(s) of the invention.

[0035] Figure 1a schematically shows a sensor device according to an exemplary embodiment of the invention,

[0036] Figure 1b schematically illustrates the operation of a sensor device according to an exemplary embodiment of the present invention,

[0037] Figure 1c schematically shows a sensor device according to an exemplary embodiment of the invention,

[0038] Figure 2a-2b schematically illustrates a correlation between sensor data and audio data according to an exemplary embodiment of the present invention,

[0039] Figure 3a-3f Schematically illustrates the dependencies according to an exemplary embodiment of the present invention,

[0040] Figure 4 schematically shows a lighting system according to an exemplary embodiment of the present invention, and

[0041] Figure 5 A method according to an exemplary embodiment of the present invention is schematically illustrated. DETAILED DESCRIPTION

[0042] Figure 1a A sensor device 100 according to an exemplary embodiment of the present invention is schematically shown. It will be appreciated that Figure 1aThe properties of the sensor device 100 in FIG. 1 (such as size, format assignment, placement of its components, etc.) are provided merely as examples, and the disclosed sensor device 100 constitutes merely an example. The sensor device 100 includes a thermal sensor 130 arranged to record sensor data, whereby the sensor data may be emitted from, for example, a moving person, a moving fan, and / or a combination thereof. Although only a single thermal sensor 130 is shown, it will be appreciated that the sensor device 100 may alternatively include multiple thermal sensors 130. The thermal sensor 130 may, for example, be or include a passive infrared (PIR) sensor, an infrared (IR) sensor, a thermopile sensor, or the like. The thermopile sensor may be a single-element thermopile sensor or a multi-element (array / matrix) thermopile sensor. The sensor device 100 is preferably arranged in a space or room so that the thermal sensor 130 can conveniently record its sensor data within the space or room. The sensor device 100 also includes a microphone 150 arranged to record audio data. Although only a single microphone 150 is shown, it will be appreciated that the sensor device 100 may alternatively include multiple microphones 150. The audio data may be in the form of noise generated by the airflow 170, for example. Figure 1a The airflow 170 in FIG. 1 is illustrated as being generated by a fan or HVAC outlet 180 during operation. However, it will be appreciated that the airflow 170 can be generated from substantially any other element and / or situation (such as, for example, a window and / or door ajar, and / or a window and / or door opening, etc.) that generates the airflow 170. For example, the audio data can include an amplitude spectrogram as a function of frequency. Thus, the audio data, as generated from the airflow 170, can include a (frequency) spectrogram in which the amplitude of the audio data is a function of the frequency of the audio data.

[0043] The sensor device 100 further includes a processor 200 connected to the thermal sensor 130 and the microphone 150. The processor 200 Figure 1a 100, as it should be noted that the processor 200 may be integrated in the sensor device 100 or, alternatively, arranged remotely from the housing of the sensor device 100. Thus, the processor 200 may be connected to the sensor 130 and the microphone 150 via a wireless or wired connection.

[0044] Figure 1b Schematically shows an exemplary embodiment of the present invention. Figure 1a The operation of the sensor device 100 is illustrated in FIG. Figure 1b In the leftmost part of FIG, the sensor data S as recorded by the thermal sensor 130 d and audio data A as recorded by microphone 150 d is obtained or received by the processor 200. Based on the obtained audio data A d, the processor 200 is configured to estimate at least one property P of the airflow i For example, the processor 200 may be configured to estimate the magnitude (size, intensity) of the airflow. The processor 200 may also be configured to generate an estimate based on the sensor data S d and audio data A d At least one correlation criterion C between c , estimate at least one property P of the airflow i For sensor data S d The impact level L f Therefore, the processor 200 estimates one or more airflow properties P i ; and based on the sensor data S d and audio data A d One or more correlation criteria C c , estimate (one or more) airflow properties P i For sensor data S d The impact level L f , i.e. (one or more) airflow properties P i For sensor data S d To what extent or scope the impact is. d In the case of including a spectrum of amplitude as a function of frequency, the spectrum may indicate one or more properties P of the airflow 170. i , and the processor 200 may thereby be configured to infer and / or estimate the property(s) P i , used for (one or more) attributes P i For sensor data S d The impact level L f For example, the spectrogram may indicate the amplitude of the airflow 170, and the processor 200 may be configured to infer and / or estimate the magnitude of the airflow 170 based on the spectrogram.

[0045] Figure 1c A sensor device 100 according to an exemplary embodiment of the present invention is schematically shown. It will be appreciated that Figure 1c The sensor device 100 has the following features: Figure 1a and the sensor device 100 exemplified in the associated text and as Figure 1b Many features common to the operation of the sensor device 100 are illustrated in the associated text, and reference is made to this text(s) and / or figures for increased understanding. Figure 1cThe sensor device 100 in FIG. 1 further comprises a first temperature sensor 300 arranged to record temperature data. The first temperature sensor 300 is illustrated as being arranged on the housing of the sensor device 100. Alternatively, the first temperature sensor 300 may be arranged within a (first) predetermined distance d1 of the thermal sensor 130. The processor 200 may thus be configured to obtain the recorded temperature data by the first temperature sensor 300 and estimate at least one property P of the airflow based thereon. i For sensor data S d The impact level L f The sensor device 100 may further comprise a second temperature sensor 310 arranged to record ambient temperature data, wherein the second temperature sensor 310 is arranged at a (second) predetermined distance d2 from the thermal sensor 130. The processor 200 may thus be configured to obtain the recorded ambient temperature data and estimate at least one property P of the airflow based thereon. i For sensor data S d The impact level L f In the case where the sensor device 100 has the first and second temperature sensors 300 , 310 , the first temperature sensor 300 may be arranged near the thermal sensor 310 , and the second temperature sensor 310 may be arranged away from the thermal sensor 310 , such that d2 >> d1 .

[0046] exist Figure 1c The sensor device 100 in further includes a storage medium 620 connected to the microphone 150 and the processor 200. The storage medium 620 is configured to store the recorded audio data, and wherein the processor 200 is configured to determine interrupted operation of the fan(s) based on the stored audio data.

[0047] Figure 2a The diagram schematically shows a method for generating a signal in the sensor data S according to an exemplary embodiment of the present invention. d and audio data A d In this exemplary setting, a ceiling fan is used and operated. For each of the low setting S1, medium setting S2, and high setting S3 of the ceiling fan speed, the ceiling fan is switched "on" and "off" six times in succession, where the "on" and "off" periods are 10 seconds and 5 seconds, respectively. The noise from the airflow generated by the ceiling fan (i.e., at Figure 2a The audio data A shown in the upper part d ) is recorded by the microphone of the sensor device. In addition, the thermal sensor of the sensor device records the sensor data S emitted from the ceiling fan operation. d , which is in Figure 2a The lower part shows the raw dual-channel sensor data S d . Figure 2a Shows the sensor data Sd and audio data A d The correlation between Figure 2b Based on the sensor data S d and audio data A d One or more correlation criteria C c , the sensor device is configured or arranged to estimate the airflow property(s) versus the sensor data S d The impact level L f .

[0048] Figure 3a-3f A correlation for estimating the level of influence of at least one property of an airflow on sensor data according to an exemplary embodiment of the present invention is schematically illustrated.

[0049] Figure 3a An example of a processor of a sensor device of the present invention is shown, which is configured to process a signal based on the sensor data S d and audio data A d At least one correlation criterion C between c To estimate at least one property of the airflow based on the sensor data S d The impact level L f .

[0050] exist Figure 3b The processor is further configured to d And based on audio data A d The estimated magnitude (size, strength) of the airflow A s (One or more) correlation criteria between C c The first correlation criterion C in c1 , estimate at least one attribute of the airflow for the sensor data S d The impact level L f .

[0051] exist Figure 3c The processor is configured to Figure 3a Sensor data S d and audio data A d Correlation standard C c , and via the sensor data S d and the first vibration data V generated from the airflow d1 Correlation standard C d , to estimate at least one attribute of the airflow based on the sensor data S d The impact level L f .

[0052] exist Figure 3dIn the embodiment, the processor is configured to obtain the audio data A based on the obtained audio data A. d To determine the operation L1 of at least one fan. The processor is further configured to: d and at least one correlation criterion C between the determined operation L1 of at least one fan e , estimate at least one attribute of the airflow for the sensor data S d The impact level L f .

[0053] exist Figure 3e In the embodiment, the processor is configured to obtain recorded magnetic data M generated from the operation of the fan(s). d The processor is configured to Figure 3a Sensor data S d and audio data A d Correlation standard C c , and via the sensor data S d and magnetic data M d Correlation standard C f , to estimate at least one attribute of the airflow based on the sensor data S d The impact level L f .

[0054] exist Figure 3f The processor is configured to Figure 3a Sensor data S d and audio data A d Correlation standard C c , and via the sensor data S d and second vibration data V generated from at least one fan d2 Correlation standard C g , to estimate at least one attribute of the airflow based on the sensor data S d The impact level L f .

[0055] Figure 4A lighting system 700 according to an exemplary embodiment of the present invention is schematically shown. The lighting system 700 comprises at least one light source 710, which is illustrated as a luminaire arranged in a ceiling of a space or room 120. The lighting system 700 further comprises a sensor arrangement, which in turn comprises a sensor device 100 according to any of the aforementioned embodiments of the present invention, which sensor device 100 is connected to the (one or more) light sources 710. It will be appreciated that the arrangement of the sensor device 100 on / at the (one or more) light sources 710 is shown only as an example of the lighting system 700 and that the sensor device 100 may alternatively be arranged separately from the (one or more) light sources 710. According to one or more previously described embodiments of the present invention, a processor (not shown) of the sensor device 100 of the sensor arrangement is configured to detect a movement 185 of at least one object (person) 110 in the space 120 based on an estimated level of influence of at least one property of the air flow on the sensor data. According to Figure 4 , the sensor arrangement may, for example, include an HVAC outlet 180 arranged in the ceiling of a space or room 120, wherein the HVAC outlet 180 generates an airflow 170 during operation. However, it will be appreciated that the airflow 170 may be generated from substantially any other element and / or situation, such as, for example, an open (opening) window and / or an open (opening) door of the space or room 120, thereby generating the airflow 170. Such operation of the sensor device 100 for evaluating the effect of the airflow 170 on the sensor data may be explained and illustrated in accordance with the following. A thermal sensor (not shown) of the sensor device 100 is arranged to record sensor data S in the form of presence and / or movement data 185 of the person 110, movement of the ceiling fan 180, etc. d The microphone (not shown) of the sensor device 100 is arranged to record audio data A generated from the air flow 170 d The sensor device 100 is configured to generate a signal based on the sensor data S d and audio data A d The sensor device 100 is further configured to estimate the influence level of the attribute(s) of the airflow 170 on the sensor data based on the estimated at least one attribute of the airflow 170. d The sensor device 100 is therefore arranged or configured to detect "false" triggering of sensor data due to airflow 170 and to compensate for this when detecting motion 185 of the object(s) (person(s)) 110) in the space 120.

[0056] Figure 5A method 800 for evaluating the effect of airflow on sensor data is schematically indicated. The method 800 comprises the steps of recording 810 sensor data and recording 820 audio data generated from the airflow. The method 800 further comprises the steps of obtaining 830 the recorded sensor data and the recorded audio data, and estimating 840 at least one property of the airflow based on the obtained audio data. The method 800 further comprises the steps of: estimating 840 at least one property of the airflow based on at least one correlation criterion C between the sensor data and the audio data. c , estimate 850 the influence level L of at least one attribute of the airflow on the sensor data f .

[0057] Those skilled in the art will recognize that the present invention is by no means limited to the preferred embodiments described above. Rather, numerous modifications and variations are possible within the scope of the appended claims. For example, the size, number, positioning, etc. of one or more components of sensor device 100 may differ from those shown.

Claims

1. A sensor device (100) arranged to evaluate the effect of airflow on sensor data, wherein the sensor device comprises Arranged to record sensor data S d a thermal sensor (130); Arranged to record audio data A generated from the airflow (170) d microphone (150); A processor (200) connected to the thermal sensor and the microphone, wherein the processor is configured to Get the recorded sensor data S d and recorded audio data A d , Based on the obtained audio data A d , estimate at least one property P of the airflow i ,as well as Based on the sensor data S d and audio data A d At least one correlation criterion C between c , estimate at least one property P of the airflow i For sensor data S d The impact level L f .

2. The sensor device according to claim 1, wherein the audio data A d An audio spectrogram consisting of amplitude as a function of frequency.

3. The sensor device according to claim 1 or 2, wherein the at least one attribute P i Including the magnitude of the airflow.

4. The sensor device according to any of the preceding claims, wherein the thermal sensor comprises a sensitivity in sensing, wherein the processor is configured to control the thermal sensor to reduce the sensitivity if the estimated impact level of the at least one property exceeds a predefined threshold. 5 . The sensor device according to claim 1 , wherein the processor is configured to control the thermal sensor to stop recording sensor data when the estimated impact level of the at least one property exceeds a predefined threshold.

6. The sensor device according to any one of the preceding claims, further comprising at least one element comprising at least one of an opening, a cavity and a groove configured to generate an audible resonance of the airflow, wherein the obtained audio data A d Includes audible resonance.

7. The sensor device according to any one of the preceding claims, further comprising Arranged to record first vibration data V generated from the air flow d1 The first accelerometer, The processor is connected to the first accelerometer and is configured to obtain the recorded first vibration data V d , wherein the processor is further configured to Based on the sensor data S d and the first vibration data V d1 At least one correlation criterion C between d , estimate at least one property P of the airflow i For sensor data S d The impact level L f .

8. The sensor device according to any one of the preceding claims, wherein the processor is further configured to Based on the obtained audio data A d , determining the operation L1 of at least one fan, wherein the processor is further configured to Based on the sensor data S d and at least one correlation criterion C between the operation of at least one fan e , estimate at least one property P of the airflow i For sensor data S d The impact level L f .

9. The sensor device according to any of the preceding claims, further comprising a first temperature sensor (300) arranged to record temperature data, wherein the first temperature sensor is arranged within a predetermined distance d1 of the thermal sensor and is connected to the processor, wherein the processor is further configured to Get the recorded temperature data, At least one property P of the air flow is estimated based on the obtained temperature data i For sensor data S d The impact level L f .

10. A sensor arrangement arranged to detect the motion of at least one object (110) in a space (120), wherein the sensor arrangement comprises The sensor device according to any one of the preceding claims, The processor is further configured to Based on at least one property P of the airflow i For sensor data S d The estimated impact level L f , detecting motion of at least one object in space (185).

11. The sensor arrangement according to claim 10, further comprising at least one fan (180), The audio data A d Also generated from audible sounds caused by operation of the at least one fan.

12. The sensor arrangement of claim 11, further comprising is arranged to record second vibration data V generated from the at least one fan d2 The second accelerometer, The processor is connected to the second accelerometer and is configured to obtain the recorded second vibration data V d2 , wherein the processor is further configured to Based on the sensor data S d and the second vibration data V d2 At least one correlation criterion C between g , estimate at least one property P of the airflow i For sensor data S d The impact level L f .

13. The sensor arrangement according to any one of claims 10 to 12, further comprising A storage medium (620) connected to the microphone and the processor, wherein the storage medium is configured to store the recorded audio data A d , and wherein the processor is configured to, based on the stored audio data A d Interrupted operation of at least one fan is determined.

14. A lighting system (700), comprising at least one light source (710), The sensor arrangement according to any one of claims 10 to 13, wherein the sensor device is connected to the at least one light source, and wherein the sensor device is configured to operate the at least one light source based on a detected movement of at least one object in the space, the movement being based on at least one property P of the air flow. i For sensor data S d The estimated impact level L f .

15. A method (800) for evaluating the effect of airflow on sensor data, comprising the following steps Record (810) sensor data S d , Recording (820) audio data A generated from the airflow (170) d , Obtain (830) recorded sensor data S d and recorded audio data A d , Based on the obtained audio data A d , estimating (840) at least one property P of the airflow i , Based on the sensor data S d and audio data A d At least one correlation criterion C between c , estimating (850) at least one property P of the airflow i For sensor data S d The impact level L f .

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